Gender inequalities in the prevalence of low mood and related factors in schooled adolescents during the 2019-2020 school year: DESKcohort project.

BACKGROUND: Mood disorders are the second most prevalent mental disorders in childhood and adolescence. Many undiagnosed people manifest subthreshold symptoms, like low mood, and present worse prognoses than asymptomatic healthy subjects. The aim of this study was to estimate the prevalence of low mood, gender inequalities, and associated factors, in 12- to 18-year-old adolescents in the rural and medium-sized urban areas of Central Catalonia during the 2019-2020 academic year. METHODS: Cross-sectional study with data from a cohort of high-schooled students (2019-2020), with a convenience sample of 6428 adolescents from the Central region of Catalonia (48.3 % boys and 51.7 % girls). Prevalence of low mood was estimated by gender and exposure variables, and ratios were obtained using Poisson regression models, adjusting for several exposure variables one by one, and for all of them jointly. RESULTS: The prevalence of low mood was 18.6 %, with statistically significant differences between genders (11.6 %, 95 % CI: 10.5-12.8 in boys and 25.1 %, 95 % CI: 23.7-26.6 in girls). Being an immigrant, dieting, and daily tobacco smoking were only associated with low mood in girls, whereas risky alcohol consumption was only associated in boys. Sexual violence was found to account for 36.2 % of low mood problems in girls. LIMITATIONS: The main limitation of the study is its cross-sectional design, which means that no casual relationships can be extracted of this study. CONCLUSIONS: The prevalence of low mood varies between the sexes, highlighting the importance of developing gender-specific interventions to reduce its incidence in young people, considering the factors associated with this condition.

Negative socioeconomic changes and mental disorders: a longitudinal study.

BACKGROUND: There is increasing interest on whether the current global economic uncertainties have an influence on the population's mental health. In this paper, we examined the association of negative socioeconomic changes, job loss and household income reductions with incident mental disorders. The moderating effect of gender was assessed. METHODS: Data come from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a representative population-based, longitudinal study. Individuals with a paid job and without a 12-month mental disorder at baseline were selected and reassessed 3 years later (2007-2009/2010-2012). Substantial household income reductions and not being at a paid job anymore were self-reported at follow-up. Multivariate logistic models were utilised to investigate the association between these negative socioeconomic changes and the incidence of mood, anxiety and substance use Diagnostic and Statistical Manual-IV disorders assessed by the Composite International Diagnostic Interview 3.0. RESULTS: After 3 years, 6% had lost their job, 11% had a substantial household income reduction and 12.2% had developed a mental disorder. Household income reductions increased the risk of any mental disorder (aOR=1.77), particularly the risk of mood (aOR=2.24). Job loss increased the risk of mood disorders (aOR=2.02). Gender modified the relationship: job loss increased the risk of any mental disorder among men (aOR=3.04) and household income reductions did so among women (aOR=2.32). CONCLUSIONS: Negative socioeconomic changes occurring within a short time period significantly increased the risk of incident mental disorders, particularly of mood disorders. Effective interventions to alleviate the public mental health impact of negative socioeconomic changes on men and women are needed.