Researchers have suggested the presence of a self-serving attributional bias, with people making more internal, stable, and global attributions for positive events than for negative events. This study examined the magnitude, ubiquity, and adaptiveness of this bias. The authors conducted a meta-analysis of 266 studies, yielding 503 independent effect sizes. The average d was 0.96, indicating a large bias. The bias was present in nearly all samples. There were significant age differences, with children and older adults displaying the largest biases. Asian samples displayed significantly smaller biases (d = 0.30) than U.S. (d = 1.05) or Western (d = 0.70) samples. Psychopathology was associated with a significantly attenuated bias (d = 0.48) compared with samples without psychopathology (d = 1.28) and community samples (d = 1.08). The bias was smallest for samples with depression (0.21), anxiety (0.46), and attention-deficit/hyperactivity disorder (0.55). Findings confirm that the self-serving attributional bias is pervasive in the general population but demonstrates significant variability across age, culture, and psychopathology.

In adulthood, twice as many women as men are depressed, a pattern that holds in most nations. In childhood, girls are no more depressed than boys, but more girls than boys are depressed by ages 13 to 15. Although many influences on this emergent gender difference in depression have been proposed, a truly integrated, developmental model is lacking. The authors propose a model that integrates affective (emotional reactivity), biological (genetic vulnerability, pubertal hormones, pubertal timing and development) and cognitive (cognitive style, objectified body consciousness, rumination) factors as vulnerabilities to depression that, in interaction with negative life events, heighten girls' rates of depression beginning in adolescence and account for the gender difference in depression.

Temperament is associated with important outcomes in adolescence, including academic and interpersonal functioning and psychopathology. Rothbart’s temperament model is among the most well-studied and supported approaches to adolescent temperament, and contains three main components: positive emotionality (PE), negative emotionality (NE), and effortful control (EC). However, the latent factor structure of Rothbart’s temperament measure for adolescents, the Early Adolescent Temperament Questionnaire Revised (EATQ-R, Ellis & Rothbart, 2001) has not been definitively established. To address this problem and investigate links between adolescent temperament and functioning, we used confirmatory factor analysis to examine the latent constructs of the EATQ-R in a large combined sample. For EC and NE, bifactor models consisting of a common factor plus specific factors for some sub-facets of each component fit best, providing a more nuanced understanding of these temperament dimensions. The nature of the PE construct in the EATQ-R is less clear. Models replicated in a hold-out dataset. The common components of high NE and low EC where broadly associated with increased psychopathology symptoms, and poor interpersonal and school functioning, while specific components of NE were further associated with corresponding specific components of psychopathology. Further questioning the construct validity of PE as measured by the EATQ-R, PE factors did not correlate with construct validity measures in a way consistent with theories of PE. Bringing consistency to the way the EATQ-R is modeled and using purer latent variables has the potential to advance the field in understanding links between dimensions of temperament and important outcomes of adolescent development.

Cognitive models of depression have been well supported with adults, but the developmental origins of cognitive vulnerability are not well understood. The authors hypothesized that temperament, parenting, and negative life events in childhood would contribute to the development of cognitive style, with withdrawal negativity and negative parental feedback moderating the effects of negative life events to predict more depressogenic cognitive styles. These constructs were assessed in 289 children and their parents followed longitudinally from infancy to 5th grade; a subsample (n = 120) also participated in a behavioral task in which maternal feedback to child failure was observed. Results indicated that greater withdrawal negativity in interaction with negative life events was associated with more negative cognitive styles. Self-reported maternal anger expression and observed negative maternal feedback to child's failure significantly interacted with child's negative events to predict greater cognitive vulnerability. There was little evidence of paternal parenting predicting child negative cognitive style.

This research investigated whether father involvement in infancy may reduce or exacerbate the well-established adverse effect of maternal depression during a child's infancy on behavior problems in childhood. In a community sample (N = 350), the authors found that fathers' self-reported parenting styles interacted with the amount of time fathers spent caring for their infants to moderate the longitudinal effect of maternal depression during the child's infancy on children's internalizing, but not externalizing, behaviors. Low to medium amounts of high-warmth father involvement and high amounts of medium- or high-control father involvement at this time were associated with lower child internalizing behaviors. Paternal depression during a child's infancy exacerbated the effect of maternal depression, but this moderating effect was limited to depressed fathers spending medium to high amounts of time caring for their infants. Results emphasize the moderating role fathers may play in reducing or exacerbating the adverse long-term effects of maternal depression during a child's infancy on later child behavior problems.

In this longitudinal study, we examined whether certain types of stressful events and how individuals respond to these events would explain gender differences in depressive symptoms among adolescents. We hypothesized that certain stressful events would mediate the relationship between gender and depressive symptoms. We also hypothesized that individual differences in emotional reactivity would impact part of this relationship. Lastly, we examined whether gender differences in early childhood temperament might explain gender differences in emotional reactivity in adolescence. We examined these hypotheses in a sample of 315 adolescents (51% females; 93% Caucasian; 3% African-American; and 1% each Hispanic, Asian-American, and Native American) participating in a longitudinal study of child development since birth. We used multiple regression and constrained nonlinear regression to analyze the data. Results indicated that stressful events significantly mediated gender differences in depression, and that individual differences in emotional reactivity to these stressors significantly moderated the relationship between stress and depression. We also observed significant gender differences in emotional reactivity to these stressors; temperamental differences in withdrawal negativity in infancy were marginally significant in mediating gender differences in emotional reactivity to stress in adolescence.

The odds ratio (OR) for gender differences in major depression is 1.95, averaged meta-analytically over all ages and nations. The gender difference appears by age 12, OR = 2.37, and peaks at OR = 3.02 for ages 13–15. Using the ABC (affective, biological, cognitive) model as a framework within a vulnerability-stress approach, we consider the evidence for biological vulnerabilities (genes, pubertal hormones, and pubertal timing), affective vulnerabilities (temperament), and cognitive vulnerabilities (negative cognitive style, objectified body consciousness, and rumination). The impact of stress is central to the vulnerability-stress model, and we review evidence on gender differences in stress exposure, emphasizing gender differences in sex-related traumas such as child sexual abuse and rape. Finally, we examine sociocultural factors that may contribute to the gender difference, including the media and gender inequality. An implication for research methods is that single-gender designs should be questioned. Regarding clinical implications, the vulnerabilities and stressors identified in this review should contribute to personalized interventions with depressed individuals, especially depressed women.

Introduction: As a result of the COVID-19 pandemic, social distancing and shelter-at-home have become necessary for public health and safety in the United States. This period of social isolation may be a risk factor for mental health problems, particularly among young adults for whom rates of loneliness are already high. Young adults also engage in more social media use than other age groups, a form of socialization associated with adverse effects on mental health, including loneliness and depression. Methods: The current study examined potential mediating roles of social media use and social support seeking on the relationship between age and loneliness symptoms during the COVID-19 pandemic. Participants included 1,674 adults who completed an online survey regarding depressive symptoms, loneliness, coping strategies, and changes to their daily lives as a result of the pandemic. Results: Results indicated that young adults were lonelier than older adults during the pandemic, showed a greater increase in social media use, and lower social support seeking. Higher increases in social media use and lower social support seeking mediated the relationship between age group and loneliness. Discussion: Findings are discussed in context of prior research and potential effects of stress and isolation during the pandemic. Clinical implications and suggestions for intervention are elaborated.