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Previous research indicates that the disproportionate distribution of income within society is associated with aggression and violence. Although research has been conducted identifying the relationship between income inequality and bullying victimization and perpetration, little is known about possible mediators. We investigated the association between income inequality and bullying perpetration and victimization among adolescents participating in the Cannabis, Obesity, Mental health, Physical activity, Alcohol use, Smoking, and Sedentary behavior (COMPASS) study. We identified whether school connectedness and psychosocial well-being mediated the relationship between income inequality and bullying behavior. This study used pooled cross-sectional data from 147,748 adolescents aged 13 to 18 from three waves (2015-2016, 2016-2017, 2017-2018) of the COMPASS study from 157 secondary schools in British Columbia, Alberta, Ontario, and Quebec (Canada). The Gini coefficient was calculated based on the school Census Divisions (CD) using the Canada 2016 Census and linked with student data. We used multilevel modeling to investigate the relationship between income inequality and self-reported bullying victimization and perpetration, while controlling for individual-, school-, and CD-level characteristics. A standard deviation increase in Gini coefficient was associated with increased odds for bullying victimization and perpetration. Findings were observed among girls; however, inequality was only associated with perpetration among boys. We identified social cohesion and psychosocial well-being as potential mediators. To counter the adverse effects of income inequality, school-based interventions designed to increase school connectedness and student psychosocial well-being should be implemented to protect against bullying.

BACKGROUND: Income inequality is theorized to impact health. However, evidence among adolescents is limited. This study examined the association between income inequality and health‐related school absenteeism (HRSA) in adolescents. METHODS: Participants were adolescents (n = 74,501) attending secondary schools (n = 136) that participated in the 2018‐2019 wave of the COMPASS study. Chronic (missing ≥3 days of school in the previous 4 weeks) and problematic (missing ≥11 days of school in the previous 4 weeks) HRSA was self‐reported. Income inequality was assessed via the Gini coefficient at the census division (CD) level. Multilevel modeling was used. RESULTS: Greater income inequality was associated with a higher likelihood of chronic and problematic HRSA (chronic: OR = 1.17, 95% CI: 1.06, 1.30; problematic: OR = 1.29, 95% CI 1.11 to 1.50). Increased predicted probabilities for Problematic HRSA were observed at greater degrees of income inequality among students who identified as either white, black, Latinx, or mixed, while protective associations were observed among students who identified as Asian or other. No associations were modified by gender. CONCLUSION: Income inequality demonstrated unfavorable associations with HRSA, which was modified by racial identity. [ABSTRACT FROM AUTHOR]

Introduction: Understanding the inequitable impacts of the ongoing COVID-19 pandemic on youth mental health are leading priorities. Existing research has linked income inequality in schools to adolescent depression, however, it is unclear if the onset of the pandemic exacerbated the effects of income inequality on adolescent mental health. The current study aimed to quantify the association between income inequality and adolescent mental health during COVID-19. Material and methods: Longitudinal data were taken from three waves (2018/19 to 2020/21) of the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behaviour (COMPASS) school-based study. Latent Growth Curve modelling was used to assess the association between Census District (CD)-level income inequality and depressive symptoms before and after the onset of COVID-19. Results: The study sample included 29,722 students across 43 Census divisions in British Columbia, Alberta, Ontario, and Quebec. The average age of the sample at baseline was 14.9 years [standard deviation (SD) = 1.5] and ranged between 12 and 19 years of age. Most of the sample self-reported as white (76.3%) and female (54.4%). Students who completed the COMPASS survey after the onset of COVID reported 0.20-unit higher depressive scores (95% CI = 0.16, 0.24) compared to pre-COVID. The adjusted analyses indicated that the association between income inequality on anxiety scores was strengthened following the onset of COVID-19 (β = 0.02, 95% CI = 0.0004, 0.03), indicating that income inequality was associated with a greater increase in anxiety scores during COVID-19. Discussion: The adjusted results indicate that the association between income inequality and adolescent anxiety persisted and was heightened at the onset of COVID-19. Future studies should use quasi-experimental methods to strengthen this finding. The current study can inform policy and program discussions regarding the effects of the COVID-19 pandemic and pandemic recovery for young Canadians and relevant social policies for improving adolescent mental health. [ABSTRACT FROM AUTHOR]

We explored how investments in housing for vulnerable populations (including those experiencing homelessness) are described as leading to cost containment for the health, justice, and social service systems; the nature of any costs and benefits; and variations by housing type and over time. A structured search of peer-reviewed academic research focused on the core concepts of economic benefit, public housing programs, and vulnerable populations. Findings from 42 articles reporting on cost containment specific to health, justice, and social service systems at the municipal, regional, and/or state/provincial level were synthesized. Most of the studies focused on supportive housing interventions, targeted adults (mainly men) experiencing chronic homelessness in the USA, and reported results over 1–5 years. Approximately half of the articles reported on the costs required to house vulnerable populations. About half reported on funding sources, which is critical information for leadership decisions in cost containment for supportive housing. Most of the studies assessing program cost or cost-effectiveness reported a reduction in service costs and/or greater cost-effectiveness. Studies mostly reported impacts on health services, with hospital/inpatient care and emergency service use typically decreasing across the intervention types. All the studies that assessed cost impacts on the justice system reported a decrease in expenditures. Housing vulnerable populations was also found to decrease shelter service use and engagement with the foster care/welfare systems. Housing interventions may offer cost-savings in the short- and medium-term, with a limited evidence base also demonstrating long term benefit. [ABSTRACT FROM AUTHOR]

To study the effect of a teachers' ban on supervising sports-related extracurricular physical activities (ECAs), levels of physical activity among 979 grade 7 students (mean age = 12.7 [0.5] years at baseline) were compared during and after the ban in seven schools that fully implemented the ban, and three schools that did not implement the ban fully. On average, schools offered 18.0 (SD = 5.1) ECAs during a no-ban school year. Students attending full implementation schools were significantly more likely than students in nonimplementation schools to be active after the ban ended (odds ratio for being active = 1.89 [95%confidence interval: 1.39,2.58]). They also increased the number of physical activities in which they participated (coefficient = 4.04;SE = 1.01). Ending a teachers' ban on sports-related ECAs was associated with increased involvement in physical activity among secondary school students. (Contains 3 tables and 1 figure.)