Tinder Tales: An Exploratory Study of Online Dating Users and Their Most Interesting Stories
Ashley K. Fansher & Sara Eckinger. Deviant Behavior, Mar 4 2020. https://doi.org/10.1080/01639625.2020.1734170
ABSTRACT: The present study examines the differences between users and non-users of mobile-based dating applications, along with individual user experiences. To better understand the typical online dating application consumer, this research utilized quantitative analyses to compare traditional college-age users versus non-users on behavioral and attitudinal measures. Qualitative coding took place to analyze open-ended survey responses from participants regarding personal experiences. Those who use mobile-based dating applications were significantly different from non-users on all variables examined, including rates of negative drinking behaviors, drug use, sexual compulsivity, sexual deception, and negative sexual behaviors. The review of qualitative responses revealed users experiencing a wide range of negative behaviors including stalking, consensual and non-consensual explicit photo sharing, consensual and non-consensual message sharing, and deception. This article provides a framework for the identification of potential risks of using online dating applications and highlights prevention programming that will enhance the awareness of problematic online dating behaviors.
Thursday, March 5, 2020
Quality parties: The marks of men's marginal class positions are written on their bodies, flagging an automatic reject at the door; intuitive calculations to get in include "How many beautiful girls can I get to offset how I look?"
Very Important People - Status and Beauty in the Global Party Circuit. Ashley Mears. Princeton University Press, May 2020. https://www.amazon.com/Very-Important-People-Status-Circuit-ebook/dp/B0824B49LS/
Comments by Tyler Cowen, Mar 2020. https://marginalrevolution.com/marginalrevolution/2020/03/very-important-people.html:
Excerpts about "the Miami club where renting an ordinary table for the night costs 2k, with some spending up to 250k":
The older, uglier men may have to pay 2k to rent a table for the evening, whereas "decent-looking guys with three or four models" will be let in for free with no required minimum. And:
Comments by Tyler Cowen, Mar 2020. https://marginalrevolution.com/marginalrevolution/2020/03/very-important-people.html:
Excerpts about "the Miami club where renting an ordinary table for the night costs 2k, with some spending up to 250k":
Any club, whether in a New York City basement or on a Saint-Tropez beach, is always shaped by a clear hierarchy. Fashion models signal the "A-list," but girls are only half of the business model. There are a few different categories of men that every club owner wants inside, and there is a much larger category of men they aim to keep out.
Bridge and tunnel, goons, and ghetto. These are men whose money can't compensate for their perceived status inadequacies. The marks of their marginal class positions are written on their bodies, flagging an automatic reject at the door.
A clever man can try to use models as leverage to gain entry and discounts at clubs. A man surrounded by models will not have to spend as much on bottles. I interviewed clients who talked explicitly about girls as bargaining chips they could use at the door.
The older, uglier men may have to pay 2k to rent a table for the evening, whereas "decent-looking guys with three or four models" will be let in for free with no required minimum. And:
Men familiar with the scene make these calculations even if they have money to spend: How many beautiful girls can I get to offset how I look? How many beautiful girls will it take to offset the men with me? How much money am I willing to spend for the night in the absence of quality girls?
Girls determine hierarchies of clubs, the quality of people inside, and how much money is spent.
I revisit a second critical insight of Veblen's on the role of women in communicating men's status. In this world, girls function as a form of capital. Their beauty generates enormous symbolic and economic resources for the men in their presence, but that capital is worth far more to men than to the girls who embody it.
A Preindustrial Sea‐Level Rise Hotspot Along the Atlantic Coast of America: We found evidence in Nova Scotia, Maine, & Connecticut for rapid sea‐level rise in the 18th century, which was almost as rapid as the 20th century sea‐level rise
A Preindustrial Sea‐Level Rise Hotspot Along the Atlantic Coast of North America. W. R. Gehrels et al. Geophysical Research Letters, February 13 2020. https://doi.org/10.1029/2019GL085814
Abstract: The Atlantic coast of North America north of Cape Hatteras has been proposed as a “hotspot” of late 20th century sea‐level rise. Here we test, using salt‐marsh proxy sea‐level records, if this coast experienced enhanced sea‐level rise over earlier multidecadal‐centennial periods. While we find in agreement with previous studies that 20th century rates of sea‐level change were higher compared to rates during preceding centuries, rates of 18th century sea‐level rise were only slightly lower, suggesting that the “hotspot” is a reoccurring feature for at least three centuries. Proxy sea‐level records from North America (Iceland) are negatively (positively) correlated with centennial changes in the North Atlantic Oscillation. They are consistent with sea‐level “fingerprints” of Arctic ice melt, and we therefore hypothesize that sea‐level fluctuations are related to changes in Arctic land‐ice mass. Predictions of future sea‐level rise should take into account these long‐term fluctuating rates of natural sea‐level change.
Plain Language Summary: Measurements of sea‐level change have shown that during the 20th century sea‐level rise along the Atlantic coast of North America between Cape Hatteras and Nova Scotia has been faster than the global average. We investigated whether this anomaly also occurred earlier by reconstructing historical sea‐level changes from salt‐marsh sediments and microscopic salt‐marsh fossils (foraminifera). We found evidence in three locations (Nova Scotia, Maine, and Connecticut) for rapid sea‐level rise in the 18th century, which was almost as rapid as the 20th century sea‐level rise. Using additional sea‐level reconstructions from across the North Atlantic, we propose an explanation for the periods of enhanced sea‐level rise. We hypothesize that they occur during distinct phases of the North Atlantic Oscillation and during periods of enhanced ice melt in the Arctic. The fluctuations are a reoccurring feature and should be considered in planning for future sea‐level rise and coastal hazards.
The rates of the GIA‐corrected sea‐level (GCSL) reconstructions from all sites are shown in Figure 2 and are marked by two distinct features. The first feature is the 19th to 20th century GCSL acceleration, which is visible in all five North American records as well as the record from Iceland, although their exact timing and amplitude may differ between sites. This feature is also present in other salt‐marsh‐based sea‐level reconstructions from the Atlantic coast of North America (Kopp et al., 2016). The second feature is a previously unreported, multidecadal‐centennial GCSL fluctuation along the North American Atlantic coast, with maximum rates of rise occurring in the middle‐to‐late 18th century, and lower or negative rates thereafter. The timing appears to differ slightly from record to record, most likely due to dating uncertainties. Based on the 1,000 Monte Carlo ensemble members at each site, we determine for five sites best estimates for the timing of maximum rates of change, over the period 1550 to 1850, as follows: 1735 (North Carolina), 1745 (New Jersey), 1752 (Maine), 1762 (Nova Scotia), and 1783 (Connecticut). Moreover, between 85% (Nova Scotia) and 98% (New Jersey) of ensemble members show greater‐than‐zero rates averaged over the 18th century. These numbers suggest significant, larger‐than‐usual (with respect to longer‐term GIA) rates of change peaking in the middle‐to‐late 18th century. The GCSL fluctuation is more pronounced in Maine and Connecticut, compared to Nova Scotia and North Carolina. In Connecticut, GCSL rates were close to zero before ~1700 and increased to values of ~2.4 ± 2.4 mm/yr (± indicates twice the standard error) towards the end of the 18th century. High preindustrial GCSL rates are similarly visible in the Maine record (~3.2 ± 3.2 mm/yr), although the record only starts in the mid‐18th century. The New Jersey record includes the late 18th century period of enhanced sea‐level rise but overall shows greater variability than all other records. In Nova Scotia and North Carolina, rates during this period were also enhanced compared to long‐term background rates of change, but they did not exceed values of ~0.5 ± 1.0 mm/yr. It is important to note that spatial variations in the amplitudes of multidecadal sea‐level variations along this coastline are also observed in tide‐gauge records over the 20th century (Sallenger et al., 2012). Interestingly, relatively high preindustrial GCSL rates are also seen in the Viðarhólmi data from Iceland. The records from North America and Iceland are out of phase: rates of change in Iceland are anomalously low around 1700 CE and high around 1800 CE, suggesting that peak rates of preindustrial GCSL rise occurred in North America ~60–80 yr earlier than in Iceland. Possible reasons for this are considered below.
[Figure 2 Sea‐level changes from proxy records along the North American Atlantic (blue) and Icelandic (red) coast. Shown are the nonlinear trends calculated by a Gaussian Process Regression including their 1 and 2 sigma uncertainties (dark and light blue/red bands, respectively) for the six salt‐marsh reconstructions corrected for site‐specific GIA effects. The black dotted line marks a rate of 0 mm/yr in each panel.]
While the high 18th century rates of sea‐level rise are a consistent feature in our records across sites, patterns become more complex in earlier periods. For example, the New Jersey and North Carolina records are very similar, but in North Carolina sea‐level variability was more muted prior to the 18th century (a finding that is robust against different choices of the Gaussian process priors). These differences between records might be explained by different driving mechanisms or could reflect issues with the salt‐marsh reconstructions (e.g., dating resolution or quality of transfer functions). These remain open questions.
The multidecadal to centennial sea‐level fluctuations found in our records are not seen in previously published reconstructions. There are several possible explanations for this. First, some of the recently published sea‐level records from the Atlantic coast of North America (Kemp et al., 2011, 2014) are from south of Cape Hatteras and outside of the main hotspot region of the MAB identified by Sallenger et al. (2012) from tide‐gauge records over the period 1950–2009. Second, the proxy records that are from that region, i.e. New York City (Kemp et al., 2017) and eastern Connecticut (Kemp et al., 2015), lack high‐resolution data in the 18th and 19th centuries; we suggest that more detailed investigations here could reveal the same sea‐level fluctuations.
Abstract: The Atlantic coast of North America north of Cape Hatteras has been proposed as a “hotspot” of late 20th century sea‐level rise. Here we test, using salt‐marsh proxy sea‐level records, if this coast experienced enhanced sea‐level rise over earlier multidecadal‐centennial periods. While we find in agreement with previous studies that 20th century rates of sea‐level change were higher compared to rates during preceding centuries, rates of 18th century sea‐level rise were only slightly lower, suggesting that the “hotspot” is a reoccurring feature for at least three centuries. Proxy sea‐level records from North America (Iceland) are negatively (positively) correlated with centennial changes in the North Atlantic Oscillation. They are consistent with sea‐level “fingerprints” of Arctic ice melt, and we therefore hypothesize that sea‐level fluctuations are related to changes in Arctic land‐ice mass. Predictions of future sea‐level rise should take into account these long‐term fluctuating rates of natural sea‐level change.
Plain Language Summary: Measurements of sea‐level change have shown that during the 20th century sea‐level rise along the Atlantic coast of North America between Cape Hatteras and Nova Scotia has been faster than the global average. We investigated whether this anomaly also occurred earlier by reconstructing historical sea‐level changes from salt‐marsh sediments and microscopic salt‐marsh fossils (foraminifera). We found evidence in three locations (Nova Scotia, Maine, and Connecticut) for rapid sea‐level rise in the 18th century, which was almost as rapid as the 20th century sea‐level rise. Using additional sea‐level reconstructions from across the North Atlantic, we propose an explanation for the periods of enhanced sea‐level rise. We hypothesize that they occur during distinct phases of the North Atlantic Oscillation and during periods of enhanced ice melt in the Arctic. The fluctuations are a reoccurring feature and should be considered in planning for future sea‐level rise and coastal hazards.
3 Historical Sea‐Level Changes
The resulting three sea‐level reconstructions, plus previously published records from New Jersey (Kemp et al., 2013) and North Carolina (Kemp et al., 2011), are shown in Figure 1. To place the records in a larger‐scale geographical context, a recent record from Viðarhólmi, Iceland, is also shown (Gehrels et al., 2006; Saher et al., 2015). The record from Nova Scotia (Chezzetcook) spans a full millennium and is arguably the best‐dated sea‐level reconstruction over this time interval from any coastline in the world (70 dated levels, Table S1). The Maine and Connecticut sea‐level records span the last ~300 and ~450 yr, respectively, and help to constrain the spatial and temporal extent of recent sea‐level signals observed in Nova Scotia. The most recent part of each record is compared to nearby tide‐gauge observations obtained from the Permanent Service for Mean Sea Level (PSMSL) (Holgate et al., 2013) (Figures 1a and S7). In all cases, 20th century sea‐level trends from our proxy reconstructions agree with those from nearby tide‐gauge records in the common periods of overlap (Figure S8) demonstrating that the reconstructions accurately capture recent multidecadal‐to‐centennial sea‐level changes along these coastlines. We also compared the sea‐level reconstructions to sea‐level index points obtained from the base of the Holocene lithostratigraphic sections (Donnelly et al., 2004; Gehrels, 1999; Gehrels et al., 2005) to assess possible compaction in the sequences. If there were significant compaction in our records, we would expect the points from the basal sections, which are all located directly on a hard substrate, to plot higher than the reconstructions. However, they are in good agreement (Figure 1a), so we conclude that compaction has little impact on our sea‐level records. Partly due to spatially variable crustal motion rates controlled by GIA, the long‐term sea‐level trends differ between the sites (Piecuch et al., 2018). We adjusted the sea‐level records for GIA by removing the linear late Holocene trend for the common period between 4000 cal yr BP and 1900 CE (Engelhart & Horton, 2012), which in Nova Scotia is 1.7 mm/yr (Gehrels et al., 2005), in Maine is 0.7 mm/yr (Gehrels, 1999; Gehrels et al., 2002), and in Connecticut is 1.0 mm/yr (Donnelly et al., 2004). For the North Carolina sea‐level reconstruction, which is based on two nearby sites in Sand Point and Tump Point, we used GIA corrections of 1.0 and 0.9 mm/yr, respectively (Kemp et al., 2011). The New Jersey and Viðarhólmi records were corrected for a GIA contribution of 1.4 and 1 mm/yr, respectively (Gehrels et al., 2006; Kemp et al., 2013).The rates of the GIA‐corrected sea‐level (GCSL) reconstructions from all sites are shown in Figure 2 and are marked by two distinct features. The first feature is the 19th to 20th century GCSL acceleration, which is visible in all five North American records as well as the record from Iceland, although their exact timing and amplitude may differ between sites. This feature is also present in other salt‐marsh‐based sea‐level reconstructions from the Atlantic coast of North America (Kopp et al., 2016). The second feature is a previously unreported, multidecadal‐centennial GCSL fluctuation along the North American Atlantic coast, with maximum rates of rise occurring in the middle‐to‐late 18th century, and lower or negative rates thereafter. The timing appears to differ slightly from record to record, most likely due to dating uncertainties. Based on the 1,000 Monte Carlo ensemble members at each site, we determine for five sites best estimates for the timing of maximum rates of change, over the period 1550 to 1850, as follows: 1735 (North Carolina), 1745 (New Jersey), 1752 (Maine), 1762 (Nova Scotia), and 1783 (Connecticut). Moreover, between 85% (Nova Scotia) and 98% (New Jersey) of ensemble members show greater‐than‐zero rates averaged over the 18th century. These numbers suggest significant, larger‐than‐usual (with respect to longer‐term GIA) rates of change peaking in the middle‐to‐late 18th century. The GCSL fluctuation is more pronounced in Maine and Connecticut, compared to Nova Scotia and North Carolina. In Connecticut, GCSL rates were close to zero before ~1700 and increased to values of ~2.4 ± 2.4 mm/yr (± indicates twice the standard error) towards the end of the 18th century. High preindustrial GCSL rates are similarly visible in the Maine record (~3.2 ± 3.2 mm/yr), although the record only starts in the mid‐18th century. The New Jersey record includes the late 18th century period of enhanced sea‐level rise but overall shows greater variability than all other records. In Nova Scotia and North Carolina, rates during this period were also enhanced compared to long‐term background rates of change, but they did not exceed values of ~0.5 ± 1.0 mm/yr. It is important to note that spatial variations in the amplitudes of multidecadal sea‐level variations along this coastline are also observed in tide‐gauge records over the 20th century (Sallenger et al., 2012). Interestingly, relatively high preindustrial GCSL rates are also seen in the Viðarhólmi data from Iceland. The records from North America and Iceland are out of phase: rates of change in Iceland are anomalously low around 1700 CE and high around 1800 CE, suggesting that peak rates of preindustrial GCSL rise occurred in North America ~60–80 yr earlier than in Iceland. Possible reasons for this are considered below.
[Figure 2 Sea‐level changes from proxy records along the North American Atlantic (blue) and Icelandic (red) coast. Shown are the nonlinear trends calculated by a Gaussian Process Regression including their 1 and 2 sigma uncertainties (dark and light blue/red bands, respectively) for the six salt‐marsh reconstructions corrected for site‐specific GIA effects. The black dotted line marks a rate of 0 mm/yr in each panel.]
While the high 18th century rates of sea‐level rise are a consistent feature in our records across sites, patterns become more complex in earlier periods. For example, the New Jersey and North Carolina records are very similar, but in North Carolina sea‐level variability was more muted prior to the 18th century (a finding that is robust against different choices of the Gaussian process priors). These differences between records might be explained by different driving mechanisms or could reflect issues with the salt‐marsh reconstructions (e.g., dating resolution or quality of transfer functions). These remain open questions.
The multidecadal to centennial sea‐level fluctuations found in our records are not seen in previously published reconstructions. There are several possible explanations for this. First, some of the recently published sea‐level records from the Atlantic coast of North America (Kemp et al., 2011, 2014) are from south of Cape Hatteras and outside of the main hotspot region of the MAB identified by Sallenger et al. (2012) from tide‐gauge records over the period 1950–2009. Second, the proxy records that are from that region, i.e. New York City (Kemp et al., 2017) and eastern Connecticut (Kemp et al., 2015), lack high‐resolution data in the 18th and 19th centuries; we suggest that more detailed investigations here could reveal the same sea‐level fluctuations.
5 Conclusions
We provide evidence, based on proxy sea‐level reconstructions derived from salt‐marsh sediments from the Atlantic coast of North America, for a preindustrial sea‐level rise “hotspot” during the 18th century. The rate of sea‐level rise during this period was only slightly smaller than during the latter half of the 20th‐century. Indeed, the region where the most pronounced sea‐level rise during this preindustrial period is recorded (Nova Scotia to Cape Hatteras) is similar to the area where, during the last half century or so, tide‐gauge observations suggest a recent “hotspot” of accelerated sea level rise. We propose that the magnitude (~±5–10 cm) and duration (~50–100 yr) of this preindustrial sea‐level rise event along eastern North America, along with its out‐of‐phase relationship to sea‐level fluctuations in Iceland and coincidence with centennial variations in the NAO, favor an explanation in terms of mass changes of Arctic land ice, although we acknowledge that uncertainties are large and other processes (e.g., involving an ocean contribution) cannot be entirely excluded. Examination of sea‐level output from coupled climate‐model experiments, geometries (“fingerprints”) of sea‐level change resulting from land‐ice melt, and paleoclimate proxy records of Arctic temperature all support the hypothesis that centennial variations in the retreat and advance of Arctic glaciers render important contributions to the sea‐level long‐term variability seen in the salt‐marsh records. Our findings suggest that enhanced rates of sea‐level rise along eastern North America are not necessarily symptomatic of anthropogenic forcing, as was argued in past work (Sallenger et al., 2012), but might arise from other forcing mechanisms in the coupled climate system. Our results also suggest that these multidecadal‐centennial periods of low or high sea level might dampen or amplify any future sea‐level signal that is generated by greenhouse‐gas forcing, and should be taken into account in projections of future coastal vulnerability and risk.Abstinence from Masturbation and Hypersexuality: Despite the lack of evidence for negative health effects of masturbation, abstinence is frequently recommended as a strategy to improve one’s sexual self-regulation
Abstinence from Masturbation and Hypersexuality. Felix Zimmer & Roland Imhoff. Archives of Sexual Behavior, Mar 4 2020. https://rd.springer.com/article/10.1007/s10508-019-01623-8
Abstract: Despite the lack of evidence for negative health effects of masturbation, abstinence from masturbation is frequently recommended as a strategy to improve one’s sexual self-regulation. We adopted a framework of perceived problems with pornography to collect first hints about whether abstinence from masturbation stems from a psychological and behavioral “addiction” or conflicting attitudes. In an online questionnaire survey recruited via a non-thematic Reddit thread (n = 1063), most participants reported that they had tried to be abstinent from masturbation. As visible from zero-order correlations and multiple linear regression, motivation for abstinence was mostly associated with attitudinal correlates, specifically the perception of masturbation as unhealthy. While there were associations with hypersexuality, no significant correlation with behavioral markers such as maximum number of orgasms was found. Higher abstinence motivation was related to a higher perceived impact of masturbation, conservatism, and religiosity and to lower trust in science. We argue that research on abstinence from masturbation can enrich the understanding of whether and how average frequencies of healthy behavior are pathologized.
Discussion
This
explorative study aimed to evaluate the associations of motivation for
abstinence from masturbation. On the level of zero-order correlations
and multiple linear regression, support for both hypothesized pathways,
physiological and psychological dysregulation, and conflicting
attitudes, was found. Yet, evidence for a pathway of conflicting
attitudes was richer in quantity and quality.
For the pathway of physiological and psychological dysregulation, which can be conceptualized as a “masturbation addiction,” only the subscales of the HBI were associated with abstinence motivation. The HBI subscale Consequence as well as Dyscontrol showed positive associations to abstinence motivation, yet only Dyscontrol showed variance explanation within the regression model. Since abstinence from masturbation is an endeavor of controlling sexual behavior, the connection to feelings of dyscontrol regarding sexual activity is unsurprising. For the HBI subscale Coping, there was no zero-order correlation, but a significant negative relationship with the regression criterion was found. This implies that higher ratings on items such as “I use sex to forget about the worries of daily life” have been accompanied by less motivation to abstain. A possible explanation is that a functional role of masturbation, e.g., as a coping mechanism, for relaxation, etc., is a motivational counterpart to efforts to abstain. Other variables assigned to this pathway, the mean masturbation frequency before reduction, maximum number of orgasms, and onsets of masturbation and pornography consumption, showed no significant zero-order correlation or variance explanation in the regression. Descriptively, the all-time maximum number of orgasms was even lower in men with high abstinence motivation and vice versa, r(845) = − 0.11, p = .001 (without Bonferroni correction). Although it cannot be taken as a proof of the null, it speaks toward a low relevance of behavioral variables in the phenomenon of abstinence motivation.
The other pathway explains abstinence motivation by conflicting attitudes, specifically higher perceived impact, lower trust in science, higher conservatism, religiosity, and belief in a negative health impact. In zero-order correlations, all of these associations except for one subscale of perceived impact could be confirmed in the hypothesized direction. In the regression model, only social impact and perception of masturbation as unhealthy achieved significant variance explanation while exhibiting the largest predictor weights. Interestingly, the associations with the two facets of the perceived impact, health and social, pointed in different directions. Contrary to expectation, perceived impact of masturbation on health-related variables (e.g., cancer or acne) showed no zero-order correlation and even tended toward a negative predictor weight in the regression (β = − .07, p = .066). These results suggest that seeing a possibility to improve social life, rather than to avoid illnesses, might promote abstinence motivation. Summarizing the evidence from both pathways, abstinence motivation was mostly associated with attitudinal correlates, specifically the perception of masturbation as unhealthy.
Due to ongoing debates about pornography-induced sexual dysfunctions, we considered them as potential correlates of abstinence motivation. Of the five candidates, only men suffering from decreased genital sensitivity showed a higher abstinence motivation. Rather than viewing masturbation as problematic, one suggested line of interpretation is a reduced incentive to masturbate.
The majority of participants of this study presumably were visitors or subscribers of the subreddit “r/everymanshouldknow.” Although limiting analyses to this subsample were performed in an attempt to reduce sampling bias (see Methods section), it remains questionable whether conclusions can be extrapolated to an intended population of male adults. On a theoretical note, sampling bias might be introduced by correlates of the apparent affinity toward a manliness theme such as more conservative sexual attitudes and behavior. Empirically, the average HBI sum score of 41.91 (SD = 15.16) showed a significant deviation from a previous “healthy” sample (M = 34.2, SD = 14.5, n = 147, Reid et al., 2011, t(1187) = 5.80, p < .001) indicating a relatively increased prevalence of hypersexuality within this sample. Therefore, it cannot be ruled out that associations with masturbation abstinence differ in the general population. Another important limitation is the cross-sectional nature of the study and the associated limitations regarding causal inferences. For example, since the HBI is a self-administered tool and open to subjective interpretation (e.g., “My sexual behavior controls my life”), the causal direction of an association between an HBI score and abstinence motivation remains unclear. According to the pathway of conflicting attitudes, pathologization of average frequencies of behavior might also lead to notions of excessive behavior and high HBI scores.
The scope for study design improvements is particularly evident in the variables covered. Asking about current abstinence from masturbation and the view of one’s own masturbation as problematic should be included in future research. This would also facilitate comparison to existing research on Internet pornography. Furthermore, abstinence motivation might not be a criterion of preference. Within this study, 36.3% of the participants reported no motivation on a scale from 0 to 100, which due to the need for transformation can be considered a high limitation of variance. Assuming a normal distribution of the underlying construct, an item with higher difficulty, e.g., Do you consider reducing your frequency of masturbation?” may resolve this issue. 64.2% of participants in this study indicated that they have tried to be abstinent from masturbation at least once. Although we could not find a comparative figure, we regard it as unexpectedly high and possibly subject to scrutiny. Regarding sexual dysfunction, our questionnaire design prevented us from differentiating the indication of no sexual dysfunctions and otherwise missing values, e.g., lacking willingness of specification.
Although these limitations represent notable reservations, we would like to emphasize that the focus of this study is to encourage further efforts to design and eventually test hypotheses. It has already been demonstrated that inclusion of masturbation can be fruitful for understanding correlates of pornography consumption. For example, solo masturbation might actually explain the negative association of pornography viewing and relationship quality (Perry, 2019). Understanding the constituents of both abstinence from pornography and abstinence from masturbation might eventually be a basis for reducing pathologization of average and healthy frequencies of sexual behavior.
For the pathway of physiological and psychological dysregulation, which can be conceptualized as a “masturbation addiction,” only the subscales of the HBI were associated with abstinence motivation. The HBI subscale Consequence as well as Dyscontrol showed positive associations to abstinence motivation, yet only Dyscontrol showed variance explanation within the regression model. Since abstinence from masturbation is an endeavor of controlling sexual behavior, the connection to feelings of dyscontrol regarding sexual activity is unsurprising. For the HBI subscale Coping, there was no zero-order correlation, but a significant negative relationship with the regression criterion was found. This implies that higher ratings on items such as “I use sex to forget about the worries of daily life” have been accompanied by less motivation to abstain. A possible explanation is that a functional role of masturbation, e.g., as a coping mechanism, for relaxation, etc., is a motivational counterpart to efforts to abstain. Other variables assigned to this pathway, the mean masturbation frequency before reduction, maximum number of orgasms, and onsets of masturbation and pornography consumption, showed no significant zero-order correlation or variance explanation in the regression. Descriptively, the all-time maximum number of orgasms was even lower in men with high abstinence motivation and vice versa, r(845) = − 0.11, p = .001 (without Bonferroni correction). Although it cannot be taken as a proof of the null, it speaks toward a low relevance of behavioral variables in the phenomenon of abstinence motivation.
The other pathway explains abstinence motivation by conflicting attitudes, specifically higher perceived impact, lower trust in science, higher conservatism, religiosity, and belief in a negative health impact. In zero-order correlations, all of these associations except for one subscale of perceived impact could be confirmed in the hypothesized direction. In the regression model, only social impact and perception of masturbation as unhealthy achieved significant variance explanation while exhibiting the largest predictor weights. Interestingly, the associations with the two facets of the perceived impact, health and social, pointed in different directions. Contrary to expectation, perceived impact of masturbation on health-related variables (e.g., cancer or acne) showed no zero-order correlation and even tended toward a negative predictor weight in the regression (β = − .07, p = .066). These results suggest that seeing a possibility to improve social life, rather than to avoid illnesses, might promote abstinence motivation. Summarizing the evidence from both pathways, abstinence motivation was mostly associated with attitudinal correlates, specifically the perception of masturbation as unhealthy.
Due to ongoing debates about pornography-induced sexual dysfunctions, we considered them as potential correlates of abstinence motivation. Of the five candidates, only men suffering from decreased genital sensitivity showed a higher abstinence motivation. Rather than viewing masturbation as problematic, one suggested line of interpretation is a reduced incentive to masturbate.
Limitations and Future Research
The main limitation of this study is the exploratory nature and the loose attachment to a theoretical framework. Specifically, the usage of the pathway model on another level of analysis, namely motivation for abstinence instead of the originally applied problem awareness, and post hoc assignment of the variables to the two paths, shall be discussed. To seamlessly transfer the model, one needs to assume an obvious theoretical step from problem awareness to abstinence motivation. Yet, there are other plausible pathways leading to abstinence motivation. For example, it can also be part of an effort to change sexual outlet toward more penile–vaginal intercourse. The interpretation of the association with decreased genital sensitivity also applied the possibility of abstinence motivation without the view of masturbation behavior as problematic. Therefore, it remains debatable whether the pathway model is suitable for abstinence motivation. Secondly, the assignment of the studied variables to the pathways of dysregulation and conflicting attitudes is not unambiguous for all variables. Take the HBI item “I do things sexually that are against my values and beliefs” for example. In this study, it was assigned to the pathway of dysregulation for its function as a marker of hypersexuality. However, it fits in perfectly with the pathway of attitudinal correlates, since an arbitrary amount of sexual activity, determined solely by moral standards, can justify a high score for the item.The majority of participants of this study presumably were visitors or subscribers of the subreddit “r/everymanshouldknow.” Although limiting analyses to this subsample were performed in an attempt to reduce sampling bias (see Methods section), it remains questionable whether conclusions can be extrapolated to an intended population of male adults. On a theoretical note, sampling bias might be introduced by correlates of the apparent affinity toward a manliness theme such as more conservative sexual attitudes and behavior. Empirically, the average HBI sum score of 41.91 (SD = 15.16) showed a significant deviation from a previous “healthy” sample (M = 34.2, SD = 14.5, n = 147, Reid et al., 2011, t(1187) = 5.80, p < .001) indicating a relatively increased prevalence of hypersexuality within this sample. Therefore, it cannot be ruled out that associations with masturbation abstinence differ in the general population. Another important limitation is the cross-sectional nature of the study and the associated limitations regarding causal inferences. For example, since the HBI is a self-administered tool and open to subjective interpretation (e.g., “My sexual behavior controls my life”), the causal direction of an association between an HBI score and abstinence motivation remains unclear. According to the pathway of conflicting attitudes, pathologization of average frequencies of behavior might also lead to notions of excessive behavior and high HBI scores.
The scope for study design improvements is particularly evident in the variables covered. Asking about current abstinence from masturbation and the view of one’s own masturbation as problematic should be included in future research. This would also facilitate comparison to existing research on Internet pornography. Furthermore, abstinence motivation might not be a criterion of preference. Within this study, 36.3% of the participants reported no motivation on a scale from 0 to 100, which due to the need for transformation can be considered a high limitation of variance. Assuming a normal distribution of the underlying construct, an item with higher difficulty, e.g., Do you consider reducing your frequency of masturbation?” may resolve this issue. 64.2% of participants in this study indicated that they have tried to be abstinent from masturbation at least once. Although we could not find a comparative figure, we regard it as unexpectedly high and possibly subject to scrutiny. Regarding sexual dysfunction, our questionnaire design prevented us from differentiating the indication of no sexual dysfunctions and otherwise missing values, e.g., lacking willingness of specification.
Although these limitations represent notable reservations, we would like to emphasize that the focus of this study is to encourage further efforts to design and eventually test hypotheses. It has already been demonstrated that inclusion of masturbation can be fruitful for understanding correlates of pornography consumption. For example, solo masturbation might actually explain the negative association of pornography viewing and relationship quality (Perry, 2019). Understanding the constituents of both abstinence from pornography and abstinence from masturbation might eventually be a basis for reducing pathologization of average and healthy frequencies of sexual behavior.
Gender and the intergenerational transmission of antisocial behavior: The largest associations were between mothers' and daughters' antisocial behavior
Gender and the intergenerational transmission of antisocial behavior. Stacy Tzoumakis et al. Journal of Criminal Justice, March 4 2020, 101670. https://doi.org/10.1016/j.jcrimjus.2020.101670
Highlights
• We determined the extent of gender-specific intergenerational antisocial behavior.
• Gender-specific associations were not larger than associations across-gender.
• The largest associations were between mothers' and daughters' antisocial behavior.
1. Introduction
The link between parental and offspring offending has been well
established from some of the earliest longitudinal criminological studies
(Glueck & Glueck, 1950). The relationship has been particularly demonstrated
for fathers and their offspring (Hjalmarsson & Lindquist,
2012; Rowe & Farrington, 1997; Thornberry, 2009), in part because
many of the major cohort studies included only males. Moreover, because
the base rate of offending is lower for females, even fewer studies
have been able to reliably examine offending and antisocial behavior
between mothers and daughters. It is important to determine the nature
of the association for females, considering that there are gender differences
in the development of antisocial behavior and its associated
risk factors (Broidy et al., 2015; Herrera & Stuewig, 2017; Moffitt,
Caspi, Rutter, & Silva, 2001). There is also evidence that the needs and
profiles of females involved in delinquency and offending are different
to that of males and as a result, prevention and rehabilitation programs
should be gender-responsive (i.e., developed based on the unique needs
of girls) to be effective (Lanctôt, 2018; Matthews & Hubbard, 2008;
Wright, Van Voorhis, Salisbury, & Bauman, 2012). Most of the work on
the role of gender in prevention programs has focused on adolescence
or adulthood, ignoring the earlier developmental periods. One recent
study has shown that a childhood (under age 12 years) gender-specific
risk assessment tool is effective at predicting offending up to age
21 years (Koegl, Farrington, & Augimeri, 2019). In addition, a review of
50 systematic reviews on developmental prevention programs for individuals,
families, and schools concluded that these programs were
effective with varying effect sizes (Farrington, Gaffney, Lösel, & Ttofi,
2017). Considering that those individuals who have conduct problems
and difficulty regulating their behavior in childhood are more likely to
continue offending over the life course (DeLisi & Vaughn, 2014; Moffitt
et al., 2001), it would be important from a policy perspective to invest
in these early intervention programs. Little research has examined
whether females have different needs compared to males in childhood
and how this might influence the development of these early intervention
programs. This study will investigate the gender differences in
the intergenerational transmission of antisocial behavior across three
different developmental periods (i.e., early childhood, middle childhood,
and early adolescence), which could potentially be targeted for
the development of family preventative intervention programs.
Adopting a developmental criminology approach means that we
need to look at a wider range of antisocial behavior from the earliest
developmental periods to better understand the etiology of offending
(Loeber & Le Blanc, 1990; Moffitt, 1993). There is increasing research
suggesting that the risk of intergenerational transmission can be detected
as early as infancy and early childhood (Hay et al., 2011;
Laurens, Tzoumakis, Kariuki et al., 2017; Tremblay, 2010; Tzoumakis,
Lussier, & Corrado, 2014). In addition, there is some evidence that the
mechanisms underpinning the intergenerational transmission of externalizing
behavior might differ by gender during toddlerhood (Kim,
Capaldi, Pears, Kerr, & Owen, 2009). Understanding whether and how
the intergenerational transmission of antisocial behavior operates at
key developmental periods, and whether there are gender-specific
pathways in this transmission, can help to tailor prevention and intervention
efforts.
Little research has included a sufficient number of mothers and
daughters to examine the extent and magnitude of the transmission to
antisocial behavior across the life course. Importantly, much of the
research that has investigated the gender specificity of the intergenerational
transmission of offending has focused on convictions between
generations either in adulthood or on lifetime convictions.
Several studies have shown similar links between mothers' and
daughters' antisocial behavior. For instance, Giordano (2010) completed
a twenty-five-year follow-up of the high-risk girls who participated
in the Ohio Life-Course Study and found that many of the women
continued to be involved in antisocial behavior and their children often
Highlights
• We determined the extent of gender-specific intergenerational antisocial behavior.
• Gender-specific associations were not larger than associations across-gender.
• The largest associations were between mothers' and daughters' antisocial behavior.
1. Introduction
The link between parental and offspring offending has been well
established from some of the earliest longitudinal criminological studies
(Glueck & Glueck, 1950). The relationship has been particularly demonstrated
for fathers and their offspring (Hjalmarsson & Lindquist,
2012; Rowe & Farrington, 1997; Thornberry, 2009), in part because
many of the major cohort studies included only males. Moreover, because
the base rate of offending is lower for females, even fewer studies
have been able to reliably examine offending and antisocial behavior
between mothers and daughters. It is important to determine the nature
of the association for females, considering that there are gender differences
in the development of antisocial behavior and its associated
risk factors (Broidy et al., 2015; Herrera & Stuewig, 2017; Moffitt,
Caspi, Rutter, & Silva, 2001). There is also evidence that the needs and
profiles of females involved in delinquency and offending are different
to that of males and as a result, prevention and rehabilitation programs
should be gender-responsive (i.e., developed based on the unique needs
of girls) to be effective (Lanctôt, 2018; Matthews & Hubbard, 2008;
Wright, Van Voorhis, Salisbury, & Bauman, 2012). Most of the work on
the role of gender in prevention programs has focused on adolescence
or adulthood, ignoring the earlier developmental periods. One recent
study has shown that a childhood (under age 12 years) gender-specific
risk assessment tool is effective at predicting offending up to age
21 years (Koegl, Farrington, & Augimeri, 2019). In addition, a review of
50 systematic reviews on developmental prevention programs for individuals,
families, and schools concluded that these programs were
effective with varying effect sizes (Farrington, Gaffney, Lösel, & Ttofi,
2017). Considering that those individuals who have conduct problems
and difficulty regulating their behavior in childhood are more likely to
continue offending over the life course (DeLisi & Vaughn, 2014; Moffitt
et al., 2001), it would be important from a policy perspective to invest
in these early intervention programs. Little research has examined
whether females have different needs compared to males in childhood
and how this might influence the development of these early intervention
programs. This study will investigate the gender differences in
the intergenerational transmission of antisocial behavior across three
different developmental periods (i.e., early childhood, middle childhood,
and early adolescence), which could potentially be targeted for
the development of family preventative intervention programs.
Adopting a developmental criminology approach means that we
need to look at a wider range of antisocial behavior from the earliest
developmental periods to better understand the etiology of offending
(Loeber & Le Blanc, 1990; Moffitt, 1993). There is increasing research
suggesting that the risk of intergenerational transmission can be detected
as early as infancy and early childhood (Hay et al., 2011;
Laurens, Tzoumakis, Kariuki et al., 2017; Tremblay, 2010; Tzoumakis,
Lussier, & Corrado, 2014). In addition, there is some evidence that the
mechanisms underpinning the intergenerational transmission of externalizing
behavior might differ by gender during toddlerhood (Kim,
Capaldi, Pears, Kerr, & Owen, 2009). Understanding whether and how
the intergenerational transmission of antisocial behavior operates at
key developmental periods, and whether there are gender-specific
pathways in this transmission, can help to tailor prevention and intervention
efforts.
Little research has included a sufficient number of mothers and
daughters to examine the extent and magnitude of the transmission to
antisocial behavior across the life course. Importantly, much of the
research that has investigated the gender specificity of the intergenerational
transmission of offending has focused on convictions between
generations either in adulthood or on lifetime convictions.
Several studies have shown similar links between mothers' and
daughters' antisocial behavior. For instance, Giordano (2010) completed
a twenty-five-year follow-up of the high-risk girls who participated
in the Ohio Life-Course Study and found that many of the women
continued to be involved in antisocial behavior and their children often
Clear associations between lower-order personality facets & conspiracy beliefs emerged; humility was also a significant negative correlate; those beliefs were also associated with a range of personality disorder features & internalizing symptoms
Bowes, Shauna, Thomas H. Costello, Winkie Ma, and scott lilienfeld.
2020. “Looking Under the Tinfoil Hat: Clarifying the Personological and
Psychopathological Correlates of Conspiracy Beliefs.” PsyArXiv. March 4.
doi:10.31234/osf.io/9pv38
Abstract
Objective: We sought to replicate and extend research on the personological correlates of conspiracy beliefs by examining their associations with abnormal- and normal-range personality domain-level traits and, for the first time, lower-order personality facets; we also examined internalizing symptoms.
Method: The study comprised four samples of community and student participants (Ntotal=1,927), and examined the cross-sectional relations between self-reported conspiratorial ideation and measures of (a) the six-factor model of general personality, (b) intellectual humility, (c) personality disorder traits (narcissism, psychopathy, disinhibition), and (d) internalizing symptoms (depression, anxiety, anger).
Results: Agreeableness and conscientiousness were significant negative correlates of conspiracy beliefs, although other general personality dimensions tended to manifest negligible associations. Significant associations between lower-order personality facets and conspiracy beliefs, not evident at the domain level, emerged. Indices of humility were also significant negative correlates. Conspiracy beliefs were also associated with a range of personality disorder features and internalizing symptoms.
Conclusions: Our results provisionally suggest that the nonclinical individual prone to conspiratorial ideation is likely to display distress, immodesty, impulsivity, and negative affect. Future research should investigate potential multiplicative relations among personological variables in predicting conspiracy beliefs.
Abstract
Objective: We sought to replicate and extend research on the personological correlates of conspiracy beliefs by examining their associations with abnormal- and normal-range personality domain-level traits and, for the first time, lower-order personality facets; we also examined internalizing symptoms.
Method: The study comprised four samples of community and student participants (Ntotal=1,927), and examined the cross-sectional relations between self-reported conspiratorial ideation and measures of (a) the six-factor model of general personality, (b) intellectual humility, (c) personality disorder traits (narcissism, psychopathy, disinhibition), and (d) internalizing symptoms (depression, anxiety, anger).
Results: Agreeableness and conscientiousness were significant negative correlates of conspiracy beliefs, although other general personality dimensions tended to manifest negligible associations. Significant associations between lower-order personality facets and conspiracy beliefs, not evident at the domain level, emerged. Indices of humility were also significant negative correlates. Conspiracy beliefs were also associated with a range of personality disorder features and internalizing symptoms.
Conclusions: Our results provisionally suggest that the nonclinical individual prone to conspiratorial ideation is likely to display distress, immodesty, impulsivity, and negative affect. Future research should investigate potential multiplicative relations among personological variables in predicting conspiracy beliefs.
Wednesday, March 4, 2020
True statistical inference is found outside of the great apes: Kea can integrate knowledge across different cognitive domains to flexibly adjust their predictions of sampling events
Kea show three signatures of domain-general statistical inference. Amalia P. M. Bastos & Alex H. Taylor. Nature Communications volume 11, March 3 2020, Article number: 828 (2020). https://www.nature.com/articles/s41467-020-14695-1
Abstract: One key aspect of domain-general thought is the ability to integrate information across different cognitive domains. Here, we tested whether kea (Nestor notabilis) can use relative quantities when predicting sampling outcomes, and then integrate both physical information about the presence of a barrier, and social information about the biased sampling of an experimenter, into their predictions. Our results show that kea exhibit three signatures of statistical inference, and therefore can integrate knowledge across different cognitive domains to flexibly adjust their predictions of sampling events. This result provides evidence that true statistical inference is found outside of the great apes, and that aspects of domain-general thinking can convergently evolve in brains with a highly different structure from primates. This has important implications not only for our understanding of how intelligence evolves, but also for research focused on how to create artificial domain-general thought processes.
Abstract: One key aspect of domain-general thought is the ability to integrate information across different cognitive domains. Here, we tested whether kea (Nestor notabilis) can use relative quantities when predicting sampling outcomes, and then integrate both physical information about the presence of a barrier, and social information about the biased sampling of an experimenter, into their predictions. Our results show that kea exhibit three signatures of statistical inference, and therefore can integrate knowledge across different cognitive domains to flexibly adjust their predictions of sampling events. This result provides evidence that true statistical inference is found outside of the great apes, and that aspects of domain-general thinking can convergently evolve in brains with a highly different structure from primates. This has important implications not only for our understanding of how intelligence evolves, but also for research focused on how to create artificial domain-general thought processes.
The parrots that understand probabilities, Nature Video. https://www.youtube.com/watch?v=Yj718A7_s4A
Tuesday, March 3, 2020
Perceptions of President Donald Trump’s Personality Disorder Traits: The relative strength of the traits associated with the disorders (sadistic, narcissistic, antisocial, & passive-aggressive) was highly similar between conservatives & liberals
Voter Perceptions of President Donald Trump’s Personality Disorder Traits: Implications of Political Affiliation. Jacob A. Fiala et al. Clinical Psychological Science, March 3, 2020. https://doi.org/10.1177/2167702619885399
Abstract: The short form of the Coolidge Axis II Inventory (SCATI) was used to measure traits associated with 14 personality disorders (according to essential Diagnostic and Statistical Manual of Mental Disorders criteria) in Donald Trump shortly after the fall 2016 election. Liberal or conservative participants (N = 219, mean age = 38.20 years, range = 18–79 years) were randomly assigned to view a positive or negative compilation of official campaign videos depicting Trump and then completed the SCATI. The general hypothesis was supported: Respondents’ political affiliation related with personality perceptions (although campaign video compilations did not). Despite differences in magnitude, the relative strength of the traits associated with the disorders was highly similar between conservatives and liberals (intraclass correlation coefficient = .76, p < .001). On the basis of overall rankings (independent of respondent’s party affiliation), Trump’s personality was collectively perceived to be at or above the 99th normative percentile for traits associated with four personality disorders (sadistic, narcissistic, antisocial, and passive-aggressive).
Keywords: personality, Trump, political psychology, narcissistic, sadistic
Abstract: The short form of the Coolidge Axis II Inventory (SCATI) was used to measure traits associated with 14 personality disorders (according to essential Diagnostic and Statistical Manual of Mental Disorders criteria) in Donald Trump shortly after the fall 2016 election. Liberal or conservative participants (N = 219, mean age = 38.20 years, range = 18–79 years) were randomly assigned to view a positive or negative compilation of official campaign videos depicting Trump and then completed the SCATI. The general hypothesis was supported: Respondents’ political affiliation related with personality perceptions (although campaign video compilations did not). Despite differences in magnitude, the relative strength of the traits associated with the disorders was highly similar between conservatives and liberals (intraclass correlation coefficient = .76, p < .001). On the basis of overall rankings (independent of respondent’s party affiliation), Trump’s personality was collectively perceived to be at or above the 99th normative percentile for traits associated with four personality disorders (sadistic, narcissistic, antisocial, and passive-aggressive).
Keywords: personality, Trump, political psychology, narcissistic, sadistic
Beliefs about religious evil remain a strong and consistent predictor of attitudes about issues involving sexuality, including abortion, homosexuality, premarital sex, extramarital sex, and pornography use
The Flesh and The Devil: Belief in Religious Evil and Views of Sexual
Morality. Joseph O. Baker, Andrea Molle & Christopher D. Bader.
Review of Religious Research, March 3 2020.
https://rd.springer.com/article/10.1007/s13644-020-00403-4
Abstract: We examine an understudied connection between religion and sexuality: beliefs about the reality of supernatural evil (Satan, hell, and demons). After controlling for multiple other aspects of religiosity, beliefs about religious evil remain a strong and consistent predictor of attitudes about issues involving sexuality, including abortion, homosexuality, premarital sex, extramarital sex, and pornography use. Further, the effects of religious service attendance on attitudes about sexuality are contingent upon beliefs about religious evil. Moral condemnation of non-traditional sexuality is significantly higher among regular religious participants who believe strongly in religious evil compared to actively religious people who disbelieve in religious evil, as well as compared to people who do not attend religious services. Beliefs about religious evil are therefore central to understanding the empirical connections between religion and support for conservative, traditional views of sexual morality.
Abstract: We examine an understudied connection between religion and sexuality: beliefs about the reality of supernatural evil (Satan, hell, and demons). After controlling for multiple other aspects of religiosity, beliefs about religious evil remain a strong and consistent predictor of attitudes about issues involving sexuality, including abortion, homosexuality, premarital sex, extramarital sex, and pornography use. Further, the effects of religious service attendance on attitudes about sexuality are contingent upon beliefs about religious evil. Moral condemnation of non-traditional sexuality is significantly higher among regular religious participants who believe strongly in religious evil compared to actively religious people who disbelieve in religious evil, as well as compared to people who do not attend religious services. Beliefs about religious evil are therefore central to understanding the empirical connections between religion and support for conservative, traditional views of sexual morality.
Female threespine sticklebacks: Consistent individual differences in neuroendocrine correlates of personality traints, and in activity, sociability and risk taking after an opportunity to mate
Personality traits change after an opportunity to mate. Chloe Monestier, Alison Bell. bioRxiv, March 03, 2020. https://doi.org/10.1101/2020.03.02.973693
Abstract: There is growing evidence that personality traits can change throughout the life course in humans and nonhuman animals. However, the proximate and ultimate causes of personality trait change are largely unknown, especially in adults. In a controlled, longitudinal experiment, we tested whether a key life event for adults - mating - can cause personality traits to change in female threespine sticklebacks. We confirmed that there are consistent individual differences in activity, sociability and risk taking, and then compared these personality traits among three groups of females: 1) control females; 2) females that physically mated; 3) females that socially experienced courtship but did not mate. Both the physical experience of mating and the social experience of courtship caused females to become less willing to take risks and less social. To understand the proximate mechanisms underlying these changes, we measured levels of excreted steroids. Both the physical experience of mating and the social experience of courtship caused levels of dihydroxyprogesterone (17α,20β-P) to increase, and females with higher 17α,20β-P were less willing to take risks and less social. These results provide experimental evidence that personality traits and their underlying neuroendocrine correlates are influenced by formative social and life-history experiences well into adulthood.
Abstract: There is growing evidence that personality traits can change throughout the life course in humans and nonhuman animals. However, the proximate and ultimate causes of personality trait change are largely unknown, especially in adults. In a controlled, longitudinal experiment, we tested whether a key life event for adults - mating - can cause personality traits to change in female threespine sticklebacks. We confirmed that there are consistent individual differences in activity, sociability and risk taking, and then compared these personality traits among three groups of females: 1) control females; 2) females that physically mated; 3) females that socially experienced courtship but did not mate. Both the physical experience of mating and the social experience of courtship caused females to become less willing to take risks and less social. To understand the proximate mechanisms underlying these changes, we measured levels of excreted steroids. Both the physical experience of mating and the social experience of courtship caused levels of dihydroxyprogesterone (17α,20β-P) to increase, and females with higher 17α,20β-P were less willing to take risks and less social. These results provide experimental evidence that personality traits and their underlying neuroendocrine correlates are influenced by formative social and life-history experiences well into adulthood.
Men reported higher levels of extradyadic behaviors and sexual desire, gave more importance to physical attractiveness, and perceived their current relationship as having less quality than women
Extradyadic Behaviors and Gender: How Do They Relate With Sexual Desire, Relationship Quality, and Attractiveness. Joana Arantes, Fátima Barros and Helena M. Oliveira. Front. Psychol., March 3 2020. https://doi.org/10.3389/fpsyg.2019.02554
Abstract: Recent years have seen an increasing number of studies on relationship extradyadic behaviors (Pinto and Arantes, 2016; Pazhoohi et al., 2017; Silva et al., 2017; Fisher, 2018). However, much is still to learn about the impact of these extradyadic behaviors on subsequent relationships that an individual may have. Our main goal was to study the association between past extradyadic behaviors – inflicted and suffered – and current relationship quality, sexual desire and attractiveness. Specifically, we aimed to: (i) Understand if past extradyadic behaviors are related to current relationship quality, sexual desire, and self-perceived and partner’s attractiveness; (ii) Identify possible gender differences in these variables. For that, 364 participants (251 females and 113 males) were recruited through personal and institutional e-mails, online social networks (e.g., Facebook), and the website of the Evolutionary Psychology Group from the University of Minho. All participants completed a demographic and relationship questionnaire, followed by questions related to extradyadic behaviors and self-perceived attractiveness, the Perceived Relationship Quality Components (PRQC) Inventory, the Sex Drive Scale (SDQ), and the Importance of Partner’s Physical Attractiveness Scale (IPPAS). For those currently involved in a relationship, results suggested that extradyadic behaviors (both suffered or inflicted) are linked with current low relationship quality and high sexual desire in the present. In addition, individuals who perceived themselves as being more attractive tended to have a higher sexual desire and higher relationship quality. Overall, men reported higher levels of extradyadic behaviors and sexual desire, gave more importance to physical attractiveness, and perceived their current relationship as having less quality than women. These results add to the literature by focusing on different variables that play an important role in romantic relationships, and have important implications.
Discussion
The primary goal of the present study was to examine the
association between past extradyadic behaviors – both inflicted and
suffered – on current romantic relationships. Results from our data
showed that men have higher levels of extradyadic behaviors, higher
levels of sexual desire, gave more importance to physical attractiveness
and perceived their current relationship as having less quality
compared to women. These results confirmed our first hypothesis.
Findings are consistent with the existent literature (Ostovich and Sabini, 2004; Galperin and Haselton, 2010; Pinto and Arantes, 2016). For example, previous studies have showed that females tend to have fewer extradyadic behaviors (Pinto and Arantes, 2016).
One possible explanation is that there are stereotypes and gender roles
that have been internalized about women being good wifes (Bittman et al., 2003; Ellemers, 2018).
Another possible explanation – based on an evolutionary perspective –
is the greater maternal investment required for pregnancy and subsequent
child care (Hill and Hill, 1990; Bjorklund and Shackelford, 1999). However, Wiederman and Hurd (1999)
suggested that the differences in extradyadic behaviors obtained may be
due to underreporting of extradyadic behaviors by women rather than
real sex differences – due to the existent double sexual standard.
Those participants that have betrayed in the past are
significantly more likely to perceive the quality of their current
relationship as being lower and to have a higher sexual desire in the
present. These results are consistent with our second hypothesis.
Interestingly, Owen et al. (2013)
found that both men and women who reported more thoughtful
decision-making processes regarding their romantic relationship tended
to report higher satisfaction with the relationship and fewer
extradyadic behaviors.
Previous research has shown that individuals that have
stronger sexual interest levels tended to have more extradyadic
behaviors (Treas and Giesen, 2000). In addition, individuals who have betrayed in the past tend to report more unrestricted sociosexuality (Rodrigues et al., 2017).
When we analyzed the association between having betrayed and the PRQC
and SDR we found similar results. More specifically, individuals that
had been betrayed by a partner tend to have higher sexual desire, and to
perceive their romantic relationship has having lower quality. These
results are consistent with our third hypothesis. These results may be
explained due to the fact that those individuals that tend to betrayal
also tend to be betrayed. These findings are consistent with Shaw et al. (2013)
prospective study, that showed that partner’s extradyadic behaviors is a
predictor of extradyadic relationships. More specifically, they found
in a large, nationally representative sample of unmarried couples that
factors such as lower relationship satisfaction, negative communication,
and partner’s extradyadic behaviors (actual or suspected) were
predictors of extradyadic sexual interaction. Research has shown that
when men believe their partners are more likely to betray them, they
feel more attracted to other women possibly to increase the likelihood
of genetic transmission (Shaw et al., 2013).
Our data showed that there was no significant difference
between those who had betrayed and had not betrayed regarding their
self-perceived attractiveness. The same was true when we compared those
who had been betrayed and had not been betrayed. These results are
inconsistent with our second and third hypothesis. One possible
explanation for these results is that because participants that have
been betrayed are also more likely to have betrayed (Shaw et al., 2013), any possible differences were minimized.
Our results showed that, overall, those who perceive
themselves as being more attractive tend to have a higher sexual desire
and higher relationship quality. These confirm our fourth hypothesis.
There are however, further gender differences. Specifically, women who
perceived themselves as being relatively more attractive had a tendency
to report a higher sexual desire than those who perceived themselves as
being relatively less attractive. This result was not obtained for men.
Previous research has shown that women who consider themselves
physically attractive show a greater preference for masculinity and
symmetry, suggesting that these women may attempt to maximize phenotypic
quality in potential partners, whereas women of low mate value may
maximize reproductive success by searching males most likely to invest (Little et al., 2001).
Also, women (and not men) who perceived their relationship as high
quality tended to give less importance to the partner’s physical
attractiveness compared with those women who rated their relationship
quality as low. This finding is consistent with an evolutionary
perspective, suggesting that those women who are in a secure and
committed relationship which provides good resources for themselves and
the children are more likely to disregard physical attractiveness (Penton-Voak et al., 2003).
Finally, men that perceived their relationship has having high quality
were more likely to perceive themselves as more attractive.
Limitations
First, even though we propose that past extradyadic
behaviors history has an impact on the experience of current romantic
relationships, our data were correlational and consequently we cannot
make strong inferences. It is possible that someone with an overall high
sexual desire and that tends to perceive the quality of intimate
relationships to be low, will have a higher tendency to betray their
partners during the course of their lives. Therefore, it would be very
interesting to test which path is the most likely to occur by doing a
prospective, longitudinal study. Second, we did not have an equal number
of males and females’ participants that have betrayed/been betrayed.
This unequal sample sizes may have affected the results (Keppel, 1993).
Third, we did not ask participants about their perception of
extradyadic behaviors, nor to specify the extradyadic behaviors them
have suffered and/or inflicted. This may have affected the results.
Fourth, we did not ask participants if they were in sexually
non-monogamous relationships (SNMR), defined as those relationships in
which “individuals are each other’s primary partners and have
consensually agreed upon extradyadic sex” (Rodrigues et al., 2016).
Research has shown that individuals in SNMR do not perceive extradyadic
sex as a transgressive behavior or extradyadic behaviors (Mogilski et al., 2017). Therefore, having extradyadic sex does not seem to affect, for example, the quality of the relationships in SNMR (Mogilski et al., 2017),
which may have affected our results. Fifth, research has shown that
self-perceived attractiveness seems to be related with both face and
body features, and that with ratings of attractiveness given by
independent evaluators (Muñoz-Reyes et al., 2015).
Nevertheless, it is possible that some participants may have confounded
between face and body attractiveness. Sixth, all obtained correlation
coefficients were low, and therefore strong inferences should not be
done. Seventh, the age of the majority of our participants ranged from
18 to 40. It would be interesting to investigate if the same pattern of
results would be obtained with an older sample. Finally, to evaluate
some of our variables (e.g., extradyadic behaviors) we developed
specific questions that have not been used in previous studies, which
may have also affected our results.
Rolf Degen summarizing: Less than half of all parents manage to transmit their partisan identities to their children
The Role of Child Perception and Motivation in Political Socialization. Peter K. Hatemi, Christopher Ojeda. British Journal of Political Science, February 28 2020. https://doi.org/10.1017/S0007123419000516
Abstract: Most of what is known regarding political socialization treats parent–child concordance as evidence of transmission. This direct-transmission approach remains agnostic regarding how socialization occurs, whether traits have a role in a child's ability to identify and understand their parent's values or their motivation to adopt their parents’ values. This article advances a perception-adoption approach to unpack these microprocesses of socialization. The authors test their model using three independent studies in the United States that together comprise 4,852 parent–child dyads. They find that the transmission of partisan orientations from parent to child occurs less than half the time, which is qualitatively different from the generally held view. More importantly, the findings provide a greater understanding of how key predictors facilitate the political socialization process. Specifically, politicization improves child perception, but has no role in the child's motivation to adopt parental values. Closeness and parental value strength influence children to want to be like their parents, but do nothing to improve children's ability to recognize their parents' values. And education, previously thought to have little role in transmission, does not influence a child's ability to understand their parent's affiliation, but appears to make children more likely to reject whatever they believe it to be.
Abstract: Most of what is known regarding political socialization treats parent–child concordance as evidence of transmission. This direct-transmission approach remains agnostic regarding how socialization occurs, whether traits have a role in a child's ability to identify and understand their parent's values or their motivation to adopt their parents’ values. This article advances a perception-adoption approach to unpack these microprocesses of socialization. The authors test their model using three independent studies in the United States that together comprise 4,852 parent–child dyads. They find that the transmission of partisan orientations from parent to child occurs less than half the time, which is qualitatively different from the generally held view. More importantly, the findings provide a greater understanding of how key predictors facilitate the political socialization process. Specifically, politicization improves child perception, but has no role in the child's motivation to adopt parental values. Closeness and parental value strength influence children to want to be like their parents, but do nothing to improve children's ability to recognize their parents' values. And education, previously thought to have little role in transmission, does not influence a child's ability to understand their parent's affiliation, but appears to make children more likely to reject whatever they believe it to be.
Aversiveness to both the tendency of male infants to produce more expiratory phonations when crying, as well as their visual appearance when crying, may contribute to their increased vulnerability to abuse
Perception of male and female infant cry aversiveness by adult men. Lynnet Richey, Ting Li & James K. Rilling. Journal of Reproductive and Infant Psychology, Mar 2 2020. https://doi.org/10.1080/02646838.2020.1732896
ABSTRACT
Objective: The study aimed to determine why male infants are abused more frequently than female infants.
Background: Infant crying is a well-known trigger for Shaken Baby Syndrome or Abusive Head Trauma (SBS/AHT). For unknown reasons, male infants are more often victims of SBS/AHT than female infants. We hypothesised that this sex difference in victimisation was attributable to either acoustic or movement differences between male and female infants when crying, or to gender stereotypes about infant crying (e.g. ‘boys don’t cry’).
Methods: Adult male participants rated auditory and video cry stimuli from male and female infants for aversiveness. Each infant was rated while wearing both blue and pink clothing to denote male or female gender.
Results: In two experiments, male infants spent more time producing expiratory phonations than did female infants, and this variable was positively correlated with aversiveness ratings. Including visual stimuli increased male but not female infant cry aversiveness compared with audio stimuli alone. Finally, dressing infants in blue did not increase cry aversiveness.
Conclusions: These findings suggest that both the tendency of male infants to produce more expiratory phonations when crying, as well as their visual appearance when crying, may contribute to their increased vulnerability to abuse.
KEYWORDS: Cry, infant, abuse, sex, gender
ABSTRACT
Objective: The study aimed to determine why male infants are abused more frequently than female infants.
Background: Infant crying is a well-known trigger for Shaken Baby Syndrome or Abusive Head Trauma (SBS/AHT). For unknown reasons, male infants are more often victims of SBS/AHT than female infants. We hypothesised that this sex difference in victimisation was attributable to either acoustic or movement differences between male and female infants when crying, or to gender stereotypes about infant crying (e.g. ‘boys don’t cry’).
Methods: Adult male participants rated auditory and video cry stimuli from male and female infants for aversiveness. Each infant was rated while wearing both blue and pink clothing to denote male or female gender.
Results: In two experiments, male infants spent more time producing expiratory phonations than did female infants, and this variable was positively correlated with aversiveness ratings. Including visual stimuli increased male but not female infant cry aversiveness compared with audio stimuli alone. Finally, dressing infants in blue did not increase cry aversiveness.
Conclusions: These findings suggest that both the tendency of male infants to produce more expiratory phonations when crying, as well as their visual appearance when crying, may contribute to their increased vulnerability to abuse.
KEYWORDS: Cry, infant, abuse, sex, gender
Severity and the number of common cold symptoms: Women were expected to report more symptoms & a higher severity; no differences found between men and women in their reports
From 2019... Sex differences in the severity and number of common cold symptoms. Eva Lutgerink. Faculty of Social and Behavioural Sciences Theses, Utrecth Univ. Jun 2019. https://dspace.library.uu.nl/handle/1874/392930
Abstract: It is commonly believed that men tend to exaggerate the severity of their illness when infected with a respiratory virus. On the contrary, on literature in health, it seems that women are generally the ones who are “sicker”. In the literature there is still a debate on whether men or women tend over-report minor health problems. Therefore, this study examines the effect of sex on the severity and number of common cold symptoms. Hypotheses were derived from literature building on a social constructionist perspective of gender and health. Women were expected to report more symptoms and a higher severity of their symptoms. Also, the effects were expected to be mediated by stress. The results show that there are no differences between men and women in their reports on the severity and the number of common cold symptoms.
Author keywords: sex differences; gender; health; common cold; symptoms
Abstract: It is commonly believed that men tend to exaggerate the severity of their illness when infected with a respiratory virus. On the contrary, on literature in health, it seems that women are generally the ones who are “sicker”. In the literature there is still a debate on whether men or women tend over-report minor health problems. Therefore, this study examines the effect of sex on the severity and number of common cold symptoms. Hypotheses were derived from literature building on a social constructionist perspective of gender and health. Women were expected to report more symptoms and a higher severity of their symptoms. Also, the effects were expected to be mediated by stress. The results show that there are no differences between men and women in their reports on the severity and the number of common cold symptoms.
Author keywords: sex differences; gender; health; common cold; symptoms
Rosy memories: Mainly in autobiographical memory & particularly for self-relevant information, positive memory biases emerge from the operation of powerful mechanisms aimed at maintaining the individual’s well-being
Chapter 7 - A “rosy view” of the past: Positive memory biases. Orly Adler, Ainat Pansky. In Cognitive Biases in Health and Psychiatric Disorders - Neurophysiological Foundations. 2020, Pages 139-171. https://doi.org/10.1016/B978-0-12-816660-4.00007-6
Abstract: The positivity bias in memory is a prevalent phenomenon. People tend to remember more pleasant than unpleasant events, to remember events more favorably than they actually were, and to view their past through rosy glasses overall. Apparent mainly in autobiographical memory and particularly for self-relevant information, positive memory biases emerge from the operation of powerful mechanisms aimed at maintaining the individual’s well-being. In the current chapter, we review these mechanisms and the various techniques by which they operate. Manifestation of the bias in clinical populations and the manner in which it is reflected in neural activations are described, alongside methodological limitations and directions for future research.
Check also The Many Faces of Forgetting: Toward a Constructive View of Forgetting in Everyday Life. Jonathan M.Fawcett, Justin C. Hulbert. Journal of Applied Research in Memory and Cognition, January 21 2020. https://www.bipartisanalliance.com/2020/01/forgetfulness-contributes-to.html
Abstract: The positivity bias in memory is a prevalent phenomenon. People tend to remember more pleasant than unpleasant events, to remember events more favorably than they actually were, and to view their past through rosy glasses overall. Apparent mainly in autobiographical memory and particularly for self-relevant information, positive memory biases emerge from the operation of powerful mechanisms aimed at maintaining the individual’s well-being. In the current chapter, we review these mechanisms and the various techniques by which they operate. Manifestation of the bias in clinical populations and the manner in which it is reflected in neural activations are described, alongside methodological limitations and directions for future research.
Check also The Many Faces of Forgetting: Toward a Constructive View of Forgetting in Everyday Life. Jonathan M.Fawcett, Justin C. Hulbert. Journal of Applied Research in Memory and Cognition, January 21 2020. https://www.bipartisanalliance.com/2020/01/forgetfulness-contributes-to.html
Middle- and old-aged individuals: Moderate lifetime alcohol intake was associated with lower cerebral beta amyloid deposition compared to a lifetime history of not drinking
Association of moderate alcohol intake with in vivo amyloid-beta deposition in human brain: A cross-sectional study. Jee Wook Kim et al. PLOS, February 25, 2020. https://doi.org/10.1371/journal.pmed.1003022
Abstract
Background: An emerging body of literature has indicated that moderate alcohol intake may be protective against Alzheimer disease (AD) dementia. However, little information is available regarding whether moderate alcohol intake is related to reductions in amyloid-beta (Aβ) deposition, or is protective via amyloid-independent mechanisms in the living human brain. Here we examined the associations of moderate alcohol intake with in vivo AD pathologies, including cerebral Aβ deposition, neurodegeneration of AD-signature regions, and cerebral white matter hyperintensities (WMHs) in the living human brain.
Methods and findings: The present study was part of the Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer’s Disease (KBASE), an ongoing prospective cohort study that started in 2014. As of November 2016, 414 community-dwelling individuals with neither dementia nor alcohol-related disorders (280 cognitively normal [CN] individuals and 134 individuals with mild cognitive impairment [MCI]) between 56 and 90 years of age (mean age 70.9 years ± standard deviation 7.8; male, n [%] = 180 [43.5]) were recruited from 4 sites (i.e., 2 university hospitals and 2 public centers for dementia prevention and management) around Seoul, South Korea. All the participants underwent comprehensive clinical assessments comprising lifetime and current histories of alcohol intake and multimodal brain imaging, including [11C] Pittsburgh compound B positron emission tomography (PET), [18F] fluorodeoxyglucose (FDG) PET, and magnetic resonance imaging (MRI) scans. Lifetime and current alcohol intake were categorized as follows: no drinking, <1 standard drink (SD)/week, 1–13 SDs/week, and 14+ SDs/week. A moderate lifetime alcohol intake (1–13 SDs/week) was significantly associated with a lower Aβ positivity rate compared to the no drinking group, even after controlling for potential confounders (odds ratio 0.341, 95% confidence interval 0.163–0.714, p = 0.004). In contrast, current alcohol intake was not associated with amyloid deposition. Additionally, alcohol intake was not related to neurodegeneration of AD-signature regions or cerebral WMH volume. The present study had some limitations in that it had a cross-sectional design and depended on retrospective recall for alcohol drinking history.
Conclusions: In this study, we observed in middle- and old-aged individuals with neither dementia nor alcohol-related disorders that moderate lifetime alcohol intake was associated with lower cerebral Aβ deposition compared to a lifetime history of not drinking. Moderate lifetime alcohol intake may have a beneficial influence on AD by reducing pathological amyloid deposition rather than amyloid-independent neurodegeneration or cerebrovascular injury.
Discussion
In this study, we observed that lifetime alcohol intake of 1–13 SDs/week (moderate drinking) was associated with lower cerebral Aβ deposition compared to the no drinking group in these middle- and old-aged individuals with neither dementia nor alcohol-related disorders.The present finding of an association between moderate alcohol intake and lower Aβ deposition is in line with results from previous studies using animal or cultured cell models, which indicated that moderate alcohol intake exerts a protective effect via attenuating Aβ accumulation [17,20]. Many clinical and epidemiological studies have reported an inverse association between moderate alcohol intake and the risk of AD dementia [3,9–13], and the present findings regarding the association between moderate alcohol intake and decreased cerebral Aβ positivity may explain this inverse association.
While moderate lifetime alcohol intake had a significant association with Aβ deposition, moderate current intake did not. This difference indicates that the protective effects of moderate alcohol intake against Aβ pathology involve the chronic effects associated with long-term exposure rather than an acute effect. The significant finding for lifetime intake only also suggests that the protective association for moderate alcohol intake is not due to the inclusion of forced abstainers, i.e., those who stopped using alcohol owing to other health concerns related to problem drinking, among the reference group (i.e., non-drinkers). Forced abstainers were classified as drinkers for lifetime alcohol intake status, whereas they were classified as non-drinkers for current alcohol intake status.
Unlike for Aβ deposition, there were no associations between moderate alcohol intake and neurodegeneration or WMHs. Similarly, previous human MRI studies did not observe an association between moderate alcohol intake and cerebral gray matter volume [29] or total brain volume [30]. However, several preclinical and human studies reported that moderate alcohol intake has protective effects against vascular changes and atrophy in the brain. Studies using cultured cell or animal models showed that moderate alcohol intake is protective against ischemic brain injury [24,27], and human MRI studies have suggested that moderate alcohol intake is protective against damage to cerebral gray [23] and white [21,22] matter. These discrepancies may be related to methodological differences between studies. However, as suggested in a systematic review of the chronic effects of moderate alcohol intake on the structural and functional properties of the brain [53], the present findings based on both structural MRI (cortical thickness and WMHs) and FDG PET (cerebral glucose metabolism) measures support that moderate alcohol intake did not exert its protective effects directly through neurodegenerative or vascular mechanisms.
Although excessive alcohol intake has been related with an increased risk of cognitive decline [1–4], and U- or J-shaped association has been implied together with the decreased risk of cognitive impairment with moderate alcohol intake [3,5–16], we did not find any association between higher alcohol intake and increased AD pathologies. Alcohol-related brain damage (ARBD) [54] was suggested as an umbrella term for conditions including Wernicke–Korsakoff syndrome, alcohol-related dementia, and other forms of persistent alcohol-related cognitive impairment. ARBD encompasses a range of clinical presentations that manifest as impairments in memory, executive functioning, and judgement, which are related to frontal brain function. Several brain imaging studies also reported damage of the frontal lobe in individuals with alcoholism [55], while AD-CT and AD-CM measures mainly include temporo-parietal degeneration. Therefore, we additionally analyzed the association between alcohol intake and frontal lobe state (i.e., glucose metabolism, cortical thickness, and WMH volume of the frontal region) in order to find out if there was any ARBD-like damage with alcohol intake. As shown in S9 Table, however, we did not find any significant results from those analyses. These null findings may be because individuals with alcohol-related disorders were excluded and, as a result, heavy drinkers (14+ SDs/week) in the present study consisted of individuals without alcoholism or other severe alcohol problems.
The investigation of the influence of age on the association between moderate alcohol intake and Aβ positivity revealed that the protective effect of moderate alcohol intake on Aβ positivity was more prominent in older individuals (≥75 years) than younger ones. This finding may be due in part to age-associated increases in the Aβ positivity rate in individuals without dementia [56]. In the present study, the Aβ positivity rate was 24.5% (n = 62) in the younger age group and 37.3% (n = 57) in the older group. The relatively small proportion of Aβ+ individuals in the younger group might decrease the likelihood of detecting a significant difference. It is also possible, as mentioned above, that these age-related differences are related to the chronic effects associated with long-term alcohol exposure. In contrast, sex, APOE4, and clinical diagnosis did not have any moderating effect on the association between moderate alcohol intake and Aβ positivity.
The present study had a couple of strengths. To the best of our knowledge, this study is the first to show the association of moderate alcohol intake with Aβ accumulation in the living human brain. The study included a relatively large number of participants who were well-characterized through comprehensive clinical assessments including systematic interview for detailed alcohol drinking history and multimodal brain imaging for in vivo AD pathologies and WMHs. In addition, various potential confounders were systematically evaluated and controlled in the statistical models in order to reveal the association between alcohol intake and brain pathologies as clearly as possible. Even after controlling for all potential confounders, the findings did not change. The results were also confirmed by sensitivity analyses conducted after excluding binge or former drinkers.
Nevertheless, the present study also had several limitations that should be considered. First, because this was a cross-sectional study, causal relationships cannot be inferred from the findings. Second, in terms of lifetime alcohol intake, underestimation of drinking or retrospective recall bias may have affected the results in older individuals. However, it is unlikely that underestimation of alcohol intake was significant because harmful drinkers and individuals with a history of alcohol use disorder were excluded from the analyses, and moderate drinkers have no reason to underestimate their alcohol intake. Moreover, to reduce recall bias, information was obtained from reliable informants as well as the study participants. Additionally, a review of self-report bias in the assessment of alcohol intake suggested that this recall bias is not greater in older individuals than in the general population [57]. Third, about one-third of the study participants were diagnosed with MCI, which may also raise some concern about the accuracy of self-report for alcohol intake. However, although individuals with MCI have some problems with their recent memory, their remote memory is very well preserved [58]: It is not likely that individuals with MCI reported their history for alcohol intake more erroneously, because the self-report for lifetime alcohol intake mainly depends on remote memory rather than recent memory. In addition, even when we controlled for clinical diagnosis (CN versus MCI) as an additional covariate in Model 3 (Tables 2, 3, and S2–S7), the results were still very similar. Fourth, there are quite different alcohol intake patterns regarding the frequency and regularity of intake, and the amount of alcohol consumed in a single session, within the moderate drinking category. Although we obtained similar findings after excluding binge drinkers in sensitivity analyses, a more detailed understanding of the influence of drinking patterns is needed. Finally, although we did not find any significant association between alcohol intake and neurodegeneration or WMHs, the lack of association may reflect a lack of statistical power given the sample size.
Although further long-term follow-up investigations in larger populations with heterogeneous alcohol intake patterns are still needed, the association of moderate alcohol intake with reduced risk of pathological Aβ deposition (about one-third of the risk for no drinking) observed in the present study may suggest that moderate lifetime alcohol intake may be beneficial in preventing AD dementia or related cognitive decline.
In conclusion, the present findings from middle- and old-aged individuals with neither dementia nor alcohol-related disorders suggest that moderate lifetime alcohol intake may have some beneficial influence on AD by reducing pathological amyloid deposition rather than amyloid-independent neurodegeneration or cerebrovascular injury.
It seems people selectively attend to moral stimuli; moral content might be prioritized in conscious awareness after an initial perceptual encoding but before subsequent memory processing or action preparation
From 2019... Gantman, Ana P., Sayeed Devraj-Kizuk, Peter Mende-Siedlecki, Jay J. Van Bavel, and Kyle E. Mathewson. 2019. “The Time-course of Moral Perception: An Electroencephalography Investigation.” PsyArXiv. August 26. doi:10.31234/osf.io/72dxa
Abstract: Humans are highly attuned to perceptual cues about their values. A growing body of evidence suggests that people selectively attend to moral stimuli. However, it is unknown whether morality is prioritized early in perception or much later in cognitive processing. We use a combination of behavioral methods and electroencephalography to investigate how early in perception moral words are prioritized relative to non-moral words. The behavioral data replicate previous research indicating that people are more likely to correctly identify moral than non-moral words in a modified lexical decision task. The electroencephalography data reveal that words are distinguished from non-words as early as 200 milliseconds after onset over frontal brain areas, and moral words are distinguished from non-moral words 100 milliseconds later over left-posterior cortex. Further analyses reveal that differences in brain activity to moral vs. non-moral words cannot be explained by differences in arousal associated with the words. These results suggest that moral content might be prioritized in conscious awareness after an initial perceptual encoding but before subsequent memory processing or action preparation. This work offers a more precise theoretical framework for understanding how morality impacts vision and behavior.
Keywords: morality, EEG, social neuroscience, conscious awareness, vision
Abstract: Humans are highly attuned to perceptual cues about their values. A growing body of evidence suggests that people selectively attend to moral stimuli. However, it is unknown whether morality is prioritized early in perception or much later in cognitive processing. We use a combination of behavioral methods and electroencephalography to investigate how early in perception moral words are prioritized relative to non-moral words. The behavioral data replicate previous research indicating that people are more likely to correctly identify moral than non-moral words in a modified lexical decision task. The electroencephalography data reveal that words are distinguished from non-words as early as 200 milliseconds after onset over frontal brain areas, and moral words are distinguished from non-moral words 100 milliseconds later over left-posterior cortex. Further analyses reveal that differences in brain activity to moral vs. non-moral words cannot be explained by differences in arousal associated with the words. These results suggest that moral content might be prioritized in conscious awareness after an initial perceptual encoding but before subsequent memory processing or action preparation. This work offers a more precise theoretical framework for understanding how morality impacts vision and behavior.
Keywords: morality, EEG, social neuroscience, conscious awareness, vision
Monday, March 2, 2020
When discounted at the risk-free rate, real Social Security wealth increased from $5.6 tn in 1989 to $42.0 tn in 2016; adjusting for systematic risk, it grew from $4.6 tn in 1989 to $34.0 tn in 2016
Catherine, Sylvain and Miller, Max and Sarin, Natasha, Social Security and Trends in Inequality (February 29, 2020). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3546668
Abstract: Recent influential work finds large increases in inequality in the U.S., based on measures of wealth concentration that notably exclude the value of social insurance programs. This paper revisits this conclusion by incorporating Social Security retirement benefits into measures of wealth inequality. Wealth inequality has not increased in the last three decades when Social Security is accounted for. When discounted at the risk-free rate, real Social Security wealth increased substantially from $5.6 trillion in 1989 to just over $42.0 trillion in 2016. When we adjust for systematic risk coming from the covariance of Social Security returns with the market portfolio, this increase remains sizable, growing from over $4.6 trillion in 1989 to $34.0 trillion in 2016. Consequently, by 2016, Social Security wealth represented 58% of the wealth of the bottom 90% of the wealth distribution. Redistribution through programs like Social Security increases the progressivity of the economy, and it is important that our estimates of wealth concentration reflect this.
Keywords: Social Security, Inequality, Top Wealth Shares
JEL Classification: D31, E21, G51, H55, N32
Abstract: Recent influential work finds large increases in inequality in the U.S., based on measures of wealth concentration that notably exclude the value of social insurance programs. This paper revisits this conclusion by incorporating Social Security retirement benefits into measures of wealth inequality. Wealth inequality has not increased in the last three decades when Social Security is accounted for. When discounted at the risk-free rate, real Social Security wealth increased substantially from $5.6 trillion in 1989 to just over $42.0 trillion in 2016. When we adjust for systematic risk coming from the covariance of Social Security returns with the market portfolio, this increase remains sizable, growing from over $4.6 trillion in 1989 to $34.0 trillion in 2016. Consequently, by 2016, Social Security wealth represented 58% of the wealth of the bottom 90% of the wealth distribution. Redistribution through programs like Social Security increases the progressivity of the economy, and it is important that our estimates of wealth concentration reflect this.
Keywords: Social Security, Inequality, Top Wealth Shares
JEL Classification: D31, E21, G51, H55, N32
CEO types: “Leaders,” who do multifunction, high-level meetings, & “managers,” who do individual meetings with core functions; firms that hire leaders perform better (it takes 3 years to see the difference)
Oriana Bandiera, Andrea Prat, Stephen Hansen, and Raffaella Sadun, "CEO Behavior and Firm Performance," Journal of Political Economy 0, no. 0 (-Not available-): 000. Feb 2020. https://doi.org/10.1086/705331
Abstract: We develop a new method to measure CEO behavior in large samples via a survey that collects high-frequency, high-dimensional diary data and a machine learning algorithm that estimates behavioral types. Applying this method to 1,114 CEOs in six countries reveals two types: “leaders,” who do multifunction, high-level meetings, and “managers,” who do individual meetings with core functions. Firms that hire leaders perform better, and it takes three years for a new CEO to make a difference. Structural estimates indicate that productivity differentials are due to mismatches rather than to leaders being better for all firms.
---
From a 2017 version (https://www.hbs.edu/faculty/Pages/item.aspx?num=55632):
Conclusions
This paper combines a new survey methodology with a machine learning algorithm to measure the behavior of CEOs in large samples. We show that CEOs di↵er in their behavior along several dimensions, and that the data can be reduced to a summary CEO index which distinguishes between “managers” –i.e. CEOs that are primarily involved with production-related activities– and leaders -i.e. CEOs that are primarily involved in communication and coordination activities.
Guided by a simple firm-CEO assignment model, we show that there is no “best practice” in
CEO behavior—that is, a behavior that is optimal for all the firms—rather, there is evidence of
horizontal di↵erentiation in CEO behavior, and significant frictions in the assignment of CEOs to firms. In our sample of manufacturing firms across six countries we estimate that 17% of firm-CEO pairs are misassigned and that misassignments are found in all regions but are more frequent in emerging economies. The consequences for productivity are large: the implied productivity loss due to di↵erential misassignment is equal to 13% of the labor productivity gap between firms in high- and middle/low-income countries in our sample.
This paper shows that an under explored dimension of managerial activity–that is, how CEOs
spend their time–is both heterogeneous across managers and firms, and correlated with firm performance. Future work could utilize our data and methodology to inform new leadership models, which incorporate more explicitly the drivers and consequences of di↵erences in CEO behavior, and in particular explore the underlying firm-CEO matching function, which is not dealt with explicitly in the current paper. Furthermore, a possible next step of this research would be to extend the data collection to the diaries of multiple managerial figures beyond the CEO. This approach would allow us to further explore whether and how managerial interactions and team behavior vary across firms and correlate with firm performance (Hambrick and Mason, 1984). These aspects of managerial behavior, which are now largely absent from our analysis, are considered to be increasingly important in the labor market (Deming (2015)), but have so far been largely unexplored from an empirical perspective. We leave these topics for further research.
Abstract: We develop a new method to measure CEO behavior in large samples via a survey that collects high-frequency, high-dimensional diary data and a machine learning algorithm that estimates behavioral types. Applying this method to 1,114 CEOs in six countries reveals two types: “leaders,” who do multifunction, high-level meetings, and “managers,” who do individual meetings with core functions. Firms that hire leaders perform better, and it takes three years for a new CEO to make a difference. Structural estimates indicate that productivity differentials are due to mismatches rather than to leaders being better for all firms.
---
From a 2017 version (https://www.hbs.edu/faculty/Pages/item.aspx?num=55632):
Conclusions
This paper combines a new survey methodology with a machine learning algorithm to measure the behavior of CEOs in large samples. We show that CEOs di↵er in their behavior along several dimensions, and that the data can be reduced to a summary CEO index which distinguishes between “managers” –i.e. CEOs that are primarily involved with production-related activities– and leaders -i.e. CEOs that are primarily involved in communication and coordination activities.
Guided by a simple firm-CEO assignment model, we show that there is no “best practice” in
CEO behavior—that is, a behavior that is optimal for all the firms—rather, there is evidence of
horizontal di↵erentiation in CEO behavior, and significant frictions in the assignment of CEOs to firms. In our sample of manufacturing firms across six countries we estimate that 17% of firm-CEO pairs are misassigned and that misassignments are found in all regions but are more frequent in emerging economies. The consequences for productivity are large: the implied productivity loss due to di↵erential misassignment is equal to 13% of the labor productivity gap between firms in high- and middle/low-income countries in our sample.
This paper shows that an under explored dimension of managerial activity–that is, how CEOs
spend their time–is both heterogeneous across managers and firms, and correlated with firm performance. Future work could utilize our data and methodology to inform new leadership models, which incorporate more explicitly the drivers and consequences of di↵erences in CEO behavior, and in particular explore the underlying firm-CEO matching function, which is not dealt with explicitly in the current paper. Furthermore, a possible next step of this research would be to extend the data collection to the diaries of multiple managerial figures beyond the CEO. This approach would allow us to further explore whether and how managerial interactions and team behavior vary across firms and correlate with firm performance (Hambrick and Mason, 1984). These aspects of managerial behavior, which are now largely absent from our analysis, are considered to be increasingly important in the labor market (Deming (2015)), but have so far been largely unexplored from an empirical perspective. We leave these topics for further research.
Himba men prioritize mate fidelity and current reproductive partners in investment decisions, but social obligations to past and current partners and the presence of other male investors also influence decisions
Paternity confidence and social obligations explain men's allocations to romantic partners in an experimental giving game. Brooke A.Scelza, Sean P. Prall, Kathrine Starkweather. Evolution and Human Behavior, Volume 41, Issue 1, January 2020, Pages 96-103. https://doi.org/10.1016/j.evolhumbehav.2019.10.007
Abstract: Paternal care in humans is facultative, with investment decisions responsive to socioecological context. In particular, paternity confidence is thought to have a significant impact on men's provisioning. However, various aspects of the relationship a man has with his partner can also influence the way he provides for his children. Previous papers have tended to focus either on these kinds of relationship dynamics or on the impact of paternity confidence. However, these categories are often intertwined and parsing their contributions can be conceptually and methodologically difficult. To better understand how paternity confidence and relationship dynamics impact men's investment decisions, we used a series of pictorial vignettes to assess the resource allocation strategies of Himba men. We focus on three traits: mate fidelity, partner type (marital or non-marital), and relationship status (current or former). Results suggest that men prioritize mate fidelity and current reproductive partners in investment decisions, but social obligations to past and current partners and the presence of other male investors also influence decisions. Himba men appear to be balancing social norms related to marriage and fatherhood with individually-driven incentives to invest in current and more faithful partners.
Abstract: Paternal care in humans is facultative, with investment decisions responsive to socioecological context. In particular, paternity confidence is thought to have a significant impact on men's provisioning. However, various aspects of the relationship a man has with his partner can also influence the way he provides for his children. Previous papers have tended to focus either on these kinds of relationship dynamics or on the impact of paternity confidence. However, these categories are often intertwined and parsing their contributions can be conceptually and methodologically difficult. To better understand how paternity confidence and relationship dynamics impact men's investment decisions, we used a series of pictorial vignettes to assess the resource allocation strategies of Himba men. We focus on three traits: mate fidelity, partner type (marital or non-marital), and relationship status (current or former). Results suggest that men prioritize mate fidelity and current reproductive partners in investment decisions, but social obligations to past and current partners and the presence of other male investors also influence decisions. Himba men appear to be balancing social norms related to marriage and fatherhood with individually-driven incentives to invest in current and more faithful partners.
4. Discussion
Our
results show strong evidence for our primary predictions, which are
derived from life history theory, and which are fairly intuitive. Fig. 3
demonstrates this most clearly. All else equal, men favor more faithful
partners (rows 1, 10, 15), partners they have formal unions with (2, 7)
and, to a lesser extent, current partners (4, 9, 11, 14). Our secondary
predictions, which bring these factors together into a series of
potential strategies, show greatest support for the paternal investment
hypothesis, as partners with omoka children are consistently
short-changed in the allocations, and the social obligation hypothesis,
as wives are strongly favored over other types of partners (Fig. 1,
Panel D). The best fitting model included all three primary factors:
partner fidelity, relationship type and relationship status, providing
additional evidence that men are employing a mixed-strategy. These
experimental results emphasizing a mixed strategy are aligned with
behavioral data on Himba paternal investment (Prall and Scelza, 2016).
Measures of children's nutritional status, fosterage status and
livestock transfers show some titration of investment toward children
men believe to be omoka, but these occur largely when investments occur
in the more private household domain. When investments occur in more
public domains, social obligations to wives and marital offspring lead
men to treat biological and non-biological children more equally.
[Fig. 3.
Posterior predictions of differences between categories from the best
fit model predicting food allocation. Each distribution represents the
difference between the two types of women, so that distributions to the
right of zero indicate the first woman listed is predicted to receive
more food gifts.]
The best fitting model shows that overall girlfriends and ex-wives are treated relatively equally (Fig. 1, Panel D), but this finding masks some of the interesting variation that occurs in distributions to these two partner types (Fig. 3). In the two cases where omoka
status differs between girlfriends and ex-wives (rows 12 and 13), men
allocate substantially more to the partner with his biological child.
Paternal investment appears to be a greater motivator than either social
obligations or mating effort. Similarly, when the child is not omoka
in both cases, distributions to girlfriends and ex-wives are
indistinguishable (row 11). Where we see a breakdown is in the scenario
where both children are omoka. Here we see men favor girlfriends over ex-wives, suggesting some support for mating effort over social obligation (row 14).
The
second part of our study was designed to understand whether men are
titrating their allocations dependent on whether another partner (and
potential provider) is present. Men's allocations to girlfriends fit
this pattern, with substantially greater giving to girlfriends who are
unmarried than to those who are married. There are several explanations
that could account for these results, other than the need-based
explanation we are positing. Men could give less to women with other
partners as a form of punishment for their infidelity. Women without
other partners may also be more likely to father a man's next child, so
that giving more to her represents mating effort. Our data do not allow
us to test between these explanations. However, opportunistic quotes
recorded during the interview process invoking differential need were
frequent among our participants. In a typical iteration, one man stated,
“This woman has a husband. I will help this one because she doesn't
have a husband and needs support.” Therefore, we conclude that
need-based considerations are likely to be one important factor in men's
decision-making.
A slightly different pattern emerges
in Task 2B where men made allocations across wives. Those without
boyfriends still received more than those with boyfriends, but the
results were less consistent. Men were much more likely to distribute
resources evenly across wives than across girlfriends. In the two
categories where men were distributing an even number of items (for food
and clinic fees) they divided them equally between wives, 40% and 81%
of the time respectively, compared to only 19% and 42% of the time with
girlfriends. One man reported, “I think of them as my co-wives. You have
to treat them equally so that they don't get jealous and one doesn't
think that I don't like her.” In the third iteration of Task 2, men were
forced to make an unequal distribution. Unlike with girlfriends, where
this did not pose a problem, some men were very resistant to making a
choice between their wives, with one commenting “I would cut that goat
in half” rather than have to choose. This again speaks to the complex
interaction of factors affecting men's strategies. Social obligation may
dictate that men should treat their wives (relatively) equally, but men
may also be hedging their bets, keeping both wives happy may increase
their overall chance of paternity in future children.
We
also surmise that need was not driving men's choices in the wife
scenario to the same degree that it was with informal partners.
Opportunistic comments did not stress support from another partner in
the way they did in the girlfriend comparison. This may be due to the
difference in obligatory provisioning that exists between formal and
informal partners. While a man is obligated to provide for his wives,
giving to girlfriends is voluntary. Previously, our work showed that for
this reason, women had a stronger preference for generosity in
boyfriends, whereas in husbands, wealth mattered more (Scelza & Prall, 2018).
Here we see that men bias their giving to girlfriends based on need,
but factoring in the gifts of others to their wives seems secondary to
concerns about keeping the peace at home and treating wives equally.
4.1. Limitations and future directions
The
experimental approach used here provides some insight as to how Himba
men make decisions about allocating resources across partners of
different types. While the high rates of concurrency and nonpaternity in
this population mean that most men encounter these types of decisions
at some point in their lives, rarely would they encounter all of them at
once, highlighting an advantage of the vignette approach. However, as
with all studies that use hypothetical allocations, these data may not
reflect the ways that men divvy up real resources, but rather how they
view social expectations to allocate resources. In response to this,
many economic games use cash and follow through with distributions as
promised in the game; however, this approach was not feasible here.
Despite this limitation, we found that the men in our study understood
the complexity of the problem before them, as highlighted by
opportunistic comments made throughout the task.
In
addition while we thought it was important to address the ways in which
men's allocations could be altered by the presence of other providers,
this is neither the only nor necessarily the most important way that
need might influence giving patterns. Other factors we did not consider
in this study include the relative wealth or security of the woman
herself, the wealth of her parents, and her number of dependents.
Similarly, we did not look at how men's own wealth or security affect
his provisioning strategy. Finally, while we did not detect any effects
of age or marital status in our analyses (see Fig. S7), it is possible
this is due to small sample size. Future studies with larger numbers of
participants could address these shortcomings, using either behavioral
or experimental data.
Finally, this paper focuses
exclusively on men's provisioning decisions. The emphasis on men's care
as facultative in the literature drove the design of this study.
However, while certain aspects of maternal care are obligate in humans
(most significantly pregnancy), most care by mothers is quite variable.
Future work should consider how the factors studied here impact maternal
provisioning decisions.
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