Emotion regulation, as a typical “top-down” emotional self-regulation, has been shown to play an important role in children’s oppositional defiant disorder (ODD) development. However, the association between other self-regulation subcomponents and the ODD symptom network remains unclear. Meanwhile, while there are gender differences in both self-regulation and ODD, few studies have examined whether their relation is moderated by gender. Five hundred and four children (age 6–11 years; 207 girls) were recruited from schools with parents and classroom teachers completing questionnaires and were followed up for assessment six months later. Using moderation network analysis, we analyzed the relation between self-regulation and ODD symptoms, and the moderating role of gender. Self-regulation including emotion regulation, self-control, and emotion lability/negativity had broad bidirectional relations with ODD symptoms. In particular, the bidirectional relations between emotion regulation and ODD3 (Defies) and between emotion lability/negativity and ODD4 (Annoys) were significantly weaker in girls than in boys. Considering the important role of different self-regulation subcomponents in the ODD symptom network, ODD is better conceptualized as a self-regulation disorder. Each ODD symptom is associated with different degrees of impaired “bottom-up” and “top-down” self-regulation, and several of the associations vary by gender.

Gender is a socially constructed concept influenced by social practices, norms, and expectations. The impact of gender differences on mental health has been long recognized, with consequences such as over-diagnosis and pathologization or under-diagnosis of some disorders depending on gender. This also has implications for the treatments that each gender receives. In this narrative review, we will analyze (a) the gender differences in the prevalence of mental disorders, (b) the explanations for gender differences in mental health, including biological, social constructionist, and sociocultural risk factors, and (c) the gender differences in the treatment of mental disorders, including differences in health-seeking behavior and treatment outcomes. Overall, there is a consistent pattern of differences in prevalence, with women more likely to have internalizing disorders (e.g., anxiety or depression) and men more likely to have externalizing disorders (e.g., antisocial personality or substance use). The explanations aimed at disentangling the reasons for these gender differences are complex, and several approaches should be considered to achieve a comprehensive explanation. In addition to biological factors (e.g., hormonal changes), social constructionist factors (e.g., biased diagnostic criteria and clinicians’ gender bias) and sociocultural factors (e.g., feminization of poverty, gender discrimination, violence against women, and prescriptive beauty standards) should be considered. Future studies in the field of mental health should consider gender differences and explore the bio-psycho-socio-cultural factors that may underlie these differences.

There are both negative and positive stereotypes about public sector workers. Most studies focus on negative stereotypes, like the idea that public servants are lazy. We, however, do the opposite. We focus on a positive stereotype: public sector workers are seen as caring and helpful. We test the effects of positive stereotypes on the quality of public service delivery. Using a pre-registered audit experiment in elderly care in the Netherlands and Belgium, we find that activating a pro-social stereotype does not affect the outcome of public service quality in terms of response rate and information provision. However, it does improve the bureaucratic process: public sector workers are friendlier toward citizens. They say around 12% more ‘thank you’ in their replies. Moreover, the citizens’ gender affects the response rate: female citizens receive around 10% more replies. Concluding, we show that positive stereotyping can improve parts of the quality of public service delivery but not all.

This study investigates the psychometric properties of the Spanish version of the Motives for Online Gaming Questionnaire (MOGQ). We explored the factor structure and construct validity of the MOGQ through its relationships with gaming disorder symptoms (IGD–20) and impulsivity traits. We also analyzed if sociodemographic variables and gaming habits were related to gaming motives. An online cross-sectional survey was completed by 845 college students. Structure validity was examined using a combination of exploratory and confirmatory factor analyses, which supported a bifactor model composed of a general motivation factor and six uncorrelated factors (a mixed factor composed of escape and coping, competition, recreation, skill, social, and fantasy). Omega-hierarchical and omega coefficients were used to determine reliability of the MOGQ. The scale presented acceptable reliability for the general factor (ωh = .79) and the specific factor scores (social ω = .79, escape/coping ω = .81, competition ω = .79, skill ω = .84, fantasy ω = .82, and recreation ω = .70). Positive associations were observed between the MOGQ and the IGD–20 symptoms, with escape/coping (r = .48) and fantasy (r =.40) showing the strongest ones. Null or low correlations were observed with impulsivity traits. Motives to play varied significantly across genders. These findings provide evidence that the Spanish version of the MOGQ is a reliable and valid tool to assess motives to play online games.

Gender is a crucial factor for creativity in design. Although the participation and recognition of successful and prominent women in the field of design seems to be increasing, many more men are still recognised and regarded as creative. This paper analyses the gender differences in design creativity. First, a summary of studies on gender differences in creativity in general is presented. It then discusses three critical aspects of gender differences in design creativity. Finally, some ways in which women's creativity can be encouraged and supported are outlined.

Healthcare workers (HCWs) were at increased risk for mental health problems during the COVID-19 pandemic, with prior data suggesting women may be particularly vulnerable. Our global mental health study aimed to examine factors associated with gender differences in psychological distress and depressive symptoms among HCWs during COVID-19. Across 22 countries in South America, Europe, Asia and Africa, 32,410 HCWs participated in the COVID-19 HEalth caRe wOrkErS (HEROES) study between March 2020 and February 2021. They completed the General Health Questionnaire-12, the Patient Health Questionnaire-9 and questions about pandemic-relevant exposures. Consistently across countries, women reported elevated mental health problems compared to men. Women also reported increased COVID-19-relevant stressors, including insufficient personal protective equipment and less support from colleagues, while men reported increased contact with COVID-19 patients. At the country level, HCWs in countries with higher gender inequality reported less mental health problems. Higher COVID-19 mortality rates were associated with increased psychological distress merely among women. Our findings suggest that among HCWs, women may have been disproportionately exposed to COVID-19-relevant stressors at the individual and country level. This highlights the importance of considering gender in emergency response efforts to safeguard women’s well-being and ensure healthcare system preparedness during future public health crises.

Following a network analysis approach, the present study aims to explore the pattern of mutual relationships between failure in reflective functioning (RF) – defined as hypomentalization – problematic social networking sites use (PSNSU), attachment anxiety and avoidance, and childhood maltreatment among emerging adults, with a focus on gender differences. The study sample comprises N = 1,614 emerging adults (Mage = 23.84; SD = 3.21; 50% identified themselves as women) who completed online self-assessment measures. Results showed significantly greater PSNSU, hypomentalization, childhood emotional abuse, and both attachment avoidance and anxiety among women. Indeed, within the network analysis, performed separately for men and women, network-specific associative patterns were observed; yet also similarities have emerged. Within the women’s network, differently from males, attachment avoidance connects, through attachment anxiety, to emotional abuse, mood modification related to PSNSU, and hypomentalization. Nonetheless, hypomentalization was central in both networks, functioning as a hub between attachment anxiety, the PSNSU cluster, and the childhood maltreatment cluster. These results shed light on the use of social network sites as a potential maladaptive emotion regulation strategy, particularly among women. In this regard, the role of RF should be considered as a key treatment target to reduce PSNSU and support the use of adaptive emotion regulation strategies.

A gender difference in risk preferences, with women being more averse to risky choices, is a robust experimental finding. Speculating on the sources of this difference, Croson and Gneezy recently pointed to the tendency for women to experience emotions more strongly and suggested that feeling more strongly about negative outcomes would lead to greater risk-aversion. Here we test this hypothesis in an international survey with 424 respondents from India and 416 from US where we ask questions about a hypothetical lottery. In both countries we find that emotions about outcomes are stronger among women, and that this effect partially mediates gender difference in willingness to enter the lottery.

Increasing awareness of the productive potential of soft skills has sparked a discussion of their systematic and purposeful development. However, education systems pay only limited attention to this topic in most countries and remain focused on the development of hard skills. Is this approach rational or inadequate? This article provides new evidence on different aspects of the wage returns to soft skills (as an approximation of their productivity), and thereby contributes significantly to the discussion of the role of educational institutions in their development. It provides evidence that soft skills are as productive as hard skills. Moreover, it suggests that the productivity of hard skills stems from their combination with soft skills. These conclusions do not correspond to the fact that the value of education is intermediated mainly by hard skills, resulting in unequal development of soft and hard skills in schools. While concluding that education systems should pay more attention to soft skills development, the analysis recognises that this attention should be differentiated according to employers’ needs, owing to substantial differences in the value of soft skills across economic sectors. It is also noteworthy that while significant gender differences in returns to hard skills were identified, wage returns to soft skills appear gender neutral.

A standard way to elicit expectations asks for the percentage chance an event will occur. Previous research demonstrates noise in reported percentages. The current research models a bias; a five percentage point change in reported probabilities implies a larger change in beliefs at certain points in the probability distribution. One contribution of my model is that it can parse bias in beliefs from biases in reports. I reconsider age and gender differences in Subjective Survival Probabilities (SSPs). These are generally interpreted as differences in survival beliefs, e.g., that males are more optimistic than females and older respondents are more optimistic than younger respondents. These demographic differences (in the English Longitudinal Study of Ageing) can be entirely explained by reporting bias. Older respondents are no more optimistic than younger respondents and males are no more optimistic than females. Similarly, in forecasting, information is obscured by taking reported percentages at face value. Accounting for reporting bias thus better exploits the private information contained in reports. Relative to a face-value specification, a specification that does this delivers improved forecasts of mortality events, raising the pseudo R-squared from less than 3 percent to over 6 percent.