Psychological distress in late adolescence: The role of inequalities in family affluence and municipal socioeconomic characteristics in Norway

Clarifying the Links between Perceived Stress and Depressiveness: a Longitudinal Study of COVID-19's Effects on Adolescents in Germany

Young people are navigating an increasingly uncertain and unstable social and economic environment, further complicated by COVID-19. Individual resources and vulnerabilities, such as mental health and sensitivity to stress, play a significant role in how well youth adapt to the career paths and living conditions altered by the pandemic, a dynamic that is not yet well understood. This study examined the role of COVID-19 on the intertwined relation between perceived stress and depressiveness (negative and positive affect) in adolescents, focusing on gender differences. Longitudinal data from 673 German adolescents (Mage = 16.8 years, SDage = 0.91; female = 59%) were collected in three waves, before (T1) and during the pandemic (T2, T3). Using Latent Change Score models, the bidirectional relation between perceived stress and depressiveness was analyzed, considering gender as a moderator. The results showed that adolescents who found their situation stressful were at risk of developing depressiveness at the outbreak of the pandemic and throughout its progression. As the pandemic progressed, an increase in positive affect was linked to heightened perceived stress. Gender-specific differences were particularly evident in the levels of perceived stress and depressiveness, with women being more vulnerable. This study highlights how vulnerabilities in stress perception affect adolescents' mental health, with gender-specific differences underscoring the need for tailored mental health measures.

Do Municipal Contexts Matter for Adolescent Mental Health? A Within-Municipality Analysis of Nationwide Norwegian Survey Data Across Six Years

Despite growing concerns about substantial socio-economic differences between districts in many developed nations, limited attention has been paid to how adolescent mental health may be shaped by district characteristics. A few studies have shown that adolescent mental health is related to contextual factors such as district socio-economic status, neighborhood disorder, and quality of infrastructure. However, prior estimates may be an artifact of unmeasured differences between districts. To address these concerns, we used data from the nationwide Norwegian Ungdata surveys (N = 278,764), conducted across the years 2014 to 2019. We applied three-level hierarchical linear models to examine within-municipality associations between municipal factors and adolescent mental health in the domains of internalizing problems (i.e., depressive symptoms), externalizing problems (i.e., behavioral problems), and well-being (i.e., self-esteem), thereby accounting for all time-invariant municipality-level confounders. Our results showed that municipal-level safety, infrastructure, and youth culture are associated with adolescent mental health problems. Further, cross-level interaction models indicated gender-specific associations, with stronger associations of municipality infrastructure and community belongingness with increased self-esteem and reduced delinquent behaviors among girls than boys. Our findings highlight that municipality-level interventions may be a feasible strategy for adolescent mental health, even in a society characterized by low inequality and high redistribution.

Serial Mediation Model of Social Capital Effects over Academic Stress in University Students

Background: Although several studies have shown that social capital and social support decreases academic stress (AS), there has been lack of atheoretical model to explain how this occurs. This study aims to verify a model that explains the effect of bonding social capital (BSC) over academic stress psychological symptoms (PsyS), considering the multiple sequential mediation of socio-emotional support (SES), self-efficacy (sEffic) and self-esteem (sEstee). Methods: In a transversal study, 150 undergraduate volunteer students were recruited using non-probabilistic purposive sampling. Data were collected using psychological questionnaires and were processed through partial least squares structural equation modeling (PLS-SEM). Results: Goodness of fit of the models (SRMR = 0.056, 0.057, <HI95) (dULS, dG < HI95), reliability and validity are adequate. The indirect effect of BSC over PsyS (β = −0.196; IC 95% [−0.297, −0.098]) is relevant and significant and is serial mediated by SES and sEffic. Conclusions: From a very precise conceptual definition, a model is generated, within which empirical evidence explains the relationship between BSC and PsyS, emphasizing the role of BSC in the development of personal resources to cope with AS. This can be applied to policies and public health programs that affect these variables.