No Evidence Against the Greater Male Variability Hypothesis: A Commentary on Harrison et al.’s Meta-Analysis of Animal Personality

Harrison et al. (2021) set out to test the greater male variability hypothesis with respect to personality in non-human animals. Based on the non-significant results of their meta-analysis, they concluded that there is no evidence to support the hypothesis, and that biological explanations for greater male variability in human psychological traits should be called into question. Here, we show that these conclusions are unwarranted. Specifically: (a) in mammals, birds, and reptiles/amphibians, the magnitude of the sex differences in variability found in the meta-analysis is entirely in line with previous findings from both humans and non-human animals; (b) the generalized lack of statistical significance does not imply that effect sizes were too small to be considered meaningful, as the study was severely underpowered to detect effect sizes in the plausible range; (c) the results of the meta-analysis can be expected to underestimate the true magnitude of sex differences in the variability of personality, because the behavioral measures employed in most of the original studies contain large amounts of measurement error; and (d) variability effect sizes based on personality scores, latencies, and proportions suffer from lac of statistical validity, adding even more noise to the meta-analysis. In total, Harrison et al.’s study does nothing to disprove the greater male variability hypothesis in mammals, let alone in humans. To the extent that they are valid, the data remain compatible with a wide range of plausible scenarios.

Molecular Big Data in Sports Sciences: State-of-Art and Future Prospects of OMICS-Based Sports Sciences

Together with environment and experience (that is to say, diet and training), the biological and genetic make-up of an athlete plays a major role in exercise physiology. Sports genomics has shown, indeed, that some DNA single nucleotide polymorphisms (SNPs) can be associated with athlete performance and level (such as elite/world-class athletic status), having an impact on physical activity behavior, endurance, strength, power, speed, flexibility, energetic expenditure, neuromuscular coordination, metabolic and cardio-respiratory fitness, among others, as well as with psychological traits. Athletic phenotype is complex and depends on the combination of different traits and characteristics: as such, it requires a “complex science,” like that of metadata and multi-OMICS profiles. Several projects and trials (like ELITE, GAMES, Gene SMART, GENESIS, and POWERGENE) are aimed at discovering genomics-based biomarkers with an adequate predictive power. Sports genomics could enable to optimize and maximize physical performance, as well as it could predict the risk of sports-related injuries. Exercise has a profound impact on proteome too. Proteomics can assess both from a qualitative and quantitative point of view the modifications induced by training. Recently, scholars have assessed the epigenetics changes in athletes. Summarizing, the different omics specialties seem to converge in a unique approach, termed sportomics or athlomics and defined as a “holistic and top-down,” “non-hypothesis-driven research on an individual’s metabolite changes during sports and exercise” (the Athlome Project Consortium and the Santorini Declaration) Not only sportomics includes metabonomics/metabolomics, but relying on the athlete’s biological passport or profile, it would enable the systematic study of sports-induced changes and effects at any level (genome, transcriptome, proteome, etc.). However, the wealth of data is so huge and massive and heterogenous that new computational algorithms and protocols are needed, more computational power is required as well as new strategies for properly and effectively combining and integrating data.

Genome-wide DNA methylation profiling in anorexia nervosa discordant identical twins

Up until now, no study has looked specifically at epigenomic landscapes throughout twin samples, discordant for Anorexia nervosa (AN). Our goal was to find evidence to confirm the hypothesis that epigenetic variations play a key role in the aetiology of AN. In this study, we quantified genome-wide patterns of DNA methylation using the Infinium Human DNA Methylation EPIC BeadChip array (“850 K”) in DNA samples isolated from whole blood collected from a group of 7 monozygotic twin pairs discordant for AN. Results were then validated performing a genome-wide DNA methylation profiling using DNA extracted from whole blood of a group of non-family-related AN patients and a group of healthy controls. Our first analysis using the twin sample revealed 9 CpGs associated to a gene. The validation analysis showed two statistically significant CpGs with the rank regression method related to two genes associated to metabolic traits, PPP2R2C and CHST1. When doing beta regression, 6 of them showed statistically significant differences, including 3 CpGs associated to genes JAM3, UBAP2L and SYNJ2. Finally, the overall pattern of results shows genetic links to phenotypes which the literature has constantly related to AN, including metabolic and psychological traits. The genes PPP2R2C and CHST1 have both been linked to the metabolic traits type 2 diabetes through GWAS studies. The genes UBAP2L and SYNJ2 have been related to other psychiatric comorbidity.

A correlative cross sectional study on Manas Prakriti and psychological parameters among young females

Background: Several scientific studies have documented the relationship among personality types, psychological traits and disorders. Manasika Prakṛiti, described in Ayurveda, is based on the three qualities of mind i.e Satva, Raja and Tama which determine the three Manasika Prakṛiti, namely, Satvika, Rajasika, and Tamasika . Among these, Satvika individuals are less prone for psychological disorders than Tamasika and Rajasika type. Few studies have been conducted on relationship of psychological parameters and Manas Prakriti, Thus it requires a large sample survey specifically in Indian population to make conclusive statements. Aim and Objective: To find an association between Manasika Prakriti and Psychological parameter i.e Stress, depression and anxiety among healthy females. Methods: A total 450 healthy females (180 Satvika, 145 Rajasika and 125 Tamasika Prakriti) were selected from different department of Banaras Hindu University, Varanasi. Assessment of Manasika Prakriti was done by using Manas Prakriti assessment inventory(MPAI) developed by Aftab A et.,al, 2018 and psychological parameters i.e stress, depression and anxiety were assessed by using Stress Scale, Beck depressions inventory II(BDI II) and Sinha’s anxiety scale. Result: Significant difference was found in between Manasika Prakriti and Psychological parameters i.e. stress, depression and anxiety at the faculty level(p<0.001). In all the faculty Satvika Prakriti females having very low level of stress and anxiety(63.4%, 34.4%) and minimal level of depression(76.6%) while few Rajasika Prakriti females having mild level of depression(47.6%) and severe level of anxiety(53.8%).Tamasika Prakriti females were having higher chances of severe level of stress, depression and anxiety as compared to other Prakriti.

Social Support in the Treatment of Heroin Addicts

Heroin addiction impairs every aspect of physical and psychological health of the addict, and at the same time, it impairs all forms of social functioning of the addict, as well as of everyone who loves him/her and of society as a whole, so it's necessary to put a lot of effort into treating this disease successfully. Working with heroin addicts shows that the treatment is a long and uncertain process, as the treatment must simultaneously cover three segments: psychological traits of heroin addicts, the degree of social support they have, and their motivation for this treatment. The theoretical goal of this research was to find out whether there is a link between social support and motivation for addiction treatment. The practical goal is to provide the improvement of the motivational aspect of treating heroin addicts, as well as to determine the role of social support in evaluating treatment outcomes. The research was conducted on a sample of 227 heroin addicts under treatment. The perception of social support for heroin addicts is the greatest when it comes to their families. A positive correlation was found between persistence in treatment and perceived social support from family members.

Explainable AI for Psychological Profiling from Behavioral Data: An Application to Big Five Personality Predictions from Financial Transaction Records

Every step we take in the digital world leaves behind a record of our behavior; a digital footprint. Research has suggested that algorithms can translate these digital footprints into accurate estimates of psychological characteristics, including personality traits, mental health or intelligence. The mechanisms by which AI generates these insights, however, often remain opaque. In this paper, we show how Explainable AI (XAI) can help domain experts and data subjects validate, question, and improve models that classify psychological traits from digital footprints. We elaborate on two popular XAI methods (rule extraction and counterfactual explanations) in the context of Big Five personality predictions (traits and facets) from financial transactions data (N = 6,408). First, we demonstrate how global rule extraction sheds light on the spending patterns identified by the model as most predictive for personality, and discuss how these rules can be used to explain, validate, and improve the model. Second, we implement local rule extraction to show that individuals are assigned to personality classes because of their unique financial behavior, and there exists a positive link between the model’s prediction confidence and the number of features that contributed to the prediction. Our experiments highlight the importance of both global and local XAI methods. By better understanding how predictive models work in general as well as how they derive an outcome for a particular person, XAI promotes accountability in a world in which AI impacts the lives of billions of people around the world.

Monitoring of self­assessment by health care workers of the quality of own life during the pandemic of acute respiratory disease caused by SARS-­CoV­-2 coronavirus in 2020

Comparative analysis of changes in self-assessment of quality of life (QoL) indicators by young medical students during 2020 revealed certain correlations depending on the time during which they were forced to study and work against the background of the predominantly negative influence of the chronic stressful situation — the need to daily contact with different patients in conditions of many months of quarantine due to pandemic of acute respiratory disease caused by the SARS-CoV-2 coronavirus. The overall negative impact of the infectious pandemic and the resulting fears on public consciousness were quite expected. Medical workers with different clinical experiences and qualifications (nursing students and doctors), quite emotionally reacted to the potential danger of being infected with coronavirus infection due to daily professional contacts with various patients who had somatic diseases, some of which might already be in the incubation period of clinical course of coronavirus pathology. This directly reduces their self-esteem of QOL and, in certain situations, can be a factor that leads to the appearance of psychosomatic disorders in them as a kind of somatic occupational pathology, especially with prolonged (many months) continuation of lockdown restrictions due to the high level of morbidity and mortality of the population. The monitoring of changes in self-esteem of individual components of QoL turned out to be quite dependent both on the expression of individual psychological traits of each tested person and on the time of the survey (spring—late summer—winter 2020—2021).

Individual Differences in Testosterone and Self-Control Predict Compulsive Sexual Behavior Proneness in Young Males

The ability to control sexual urges and impulses is essential to achieve individual and social harmony. Failing to regulate sexual behavior can lead to the interference with daily life goals, sexual diseases transmission and moral violations, among others. The dual control model of sexual response proposes that an imbalance between sexual excitation and sexual inhibition mechanisms may lead to sexual dysregulation, thereby explaining problematic sexual behavior. Interindividual differences in self-control and testosterone levels are likely to modulate sexual regulation mechanisms, but these individual features have scarcely been studied in the context of compulsive sexual behavior. This study investigated the role of sexual excitation and inhibition, self-control and testosterone levels in predicting individuals’ proneness to display compulsive sexual behavior. Seventy healthy young males provided a saliva sample for testosterone measurements and filled in questionnaires on self-control, sexual excitation, sexual inhibition, sexual compulsivity and sexual behavior. High testosterone levels and low self-control were associated with higher sexual compulsivity scores. Additionally, testosterone levels and sexual inhibition negatively predicted the frequency of sexual behavior with a partner. The results of our study highlight the joint role of psychological traits and testosterone levels in compulsive sexual behavior proneness, providing implications regarding the prevention and treatment of this condition in young males.

Understanding the impact of borrowers' behavioural and psychological traits on credit default: review and conceptual model

PurposeThe purpose of the study is to identify certain behavioural and psychological traits of the borrowers which have the tendency to predict the credit risk of the borrowers. And the second objective is to draw a conceptual model that reveals the impact of those traits on credit default.Design/methodology/approachThe study has adopted a systematic Literature Review approach to identify those behavioural and psychological traits of borrowers that reflect on the tendency to predict the credit default of borrowers.FindingsThe findings of this study have revealed that there are some non-financial factors, which can be looked into while granting a loan to a borrower. The identified factors can be used to develop a subjective credit scoring model that can quantify and verify the soft information (character and reliability) of debtors. Further, a behavioural credit scoring model will help in easing the assessment of those borrowers, who do not have an appropriate credit history and reliable financial statements.Practical implicationsThe proposed model would help banks and financial institutions to evaluate those borrowers who lack substantial financial information. Further, a subjective credit scoring model would help to evaluate the credit worthiness of such borrowers who do not have any credit history. The model would also reduce the biasness of subjective scoring and would reduce the financial constraints of borrowers.Originality/valueBy reviewing the literature, it has been observed that there are very few studies that have exclusively considered the behavioural and psychological factors in credit scoring. Several studies have linked the psychological constructs with debts, but very few researchers have considered it while constructing a behavioural scoring model. Thus, it can be inferred that this area of behavioural finance is still unexplored and needs attention of researchers worldwide. In addition, most of the studies are carried out in European, African and American regions but are almost non-existent in the Asian markets.