Neighbourhood characteristics and socioeconomic inequalities in child mental health: Cross-sectional and longitudinal findings from the Growing Up in Ireland study.

This study examined the role of neighbourhood characteristics in explaining socioeconomic inequalities in child mental health (the total difficulties score from the Strengths and Difficulties Questionnaire) using data from Cohort '08 of Growing Up in Ireland Waves 3 (age 5; baseline) and 5 (age 9; follow-up). Twenty neighbourhood items were grouped into neighbourhood safety, built environments, cohesion, interaction, and disorder. Data were analysed using regression, single and multiple mediation, and network psychometric analyses. We found that neighbourhood safety, cohesion, interaction, and disorder were associated with child mental health. These four domains separately (by up to 18 %) or in concert (by up to 23 %) partially explained socioeconomic inequalities in child mental health. Built environments may explain socioeconomic inequalities in mental health in urban children only. Findings from network analysis indicated that specific concerns over "people being drunk or taking drugs in public" and "this is a safe neighbourhood" had the strongest connections with child mental health. Improving neighbourhood characteristics may be important to reduce socioeconomic inequalities in child mental health in Ireland.

Associations between diabetes, major depressive disorder and generalized anxiety disorder comorbidity, and disability: findings from the 2012 Canadian Community Health Survey--Mental Health (CCHS-MH).

OBJECTIVE: To examine the associations between diabetes, disability, and the likelihood of comorbid major depressive disorder (MDD) and generalized anxiety disorder (GAD). METHODS: Data were obtained from the 2012 Canadian Community Health Survey - Mental Health (N=17 623). Diabetes assessment consisted of a self-reported diagnosis of diabetes made by a health care professional. Disability was assessed via self-report. 12-Month and lifetime MDD and GAD were assessed with the Composite International Diagnostic Interview 3.0. RESULTS: In multinomial logistic regression models adjusted for sociodemographic and health-related factors, having diabetes was associated with a greater likelihood of 12-month comorbid MDD and GAD (OR=1.99, 95% CI [1.22, 3.25], p=.006), compared with those with neither MDD nor GAD. No significant associations were found for MDD without GAD or GAD without MDD. This pattern of effects held when lifetime diagnoses of MDD and GAD were considered. For individuals with diabetes (n=1730), adjusted binary logistic regression models demonstrated that with 12-month diagnoses, MDD without GAD (OR=2.79, 95% CI [1.39-5.62], p=.004), GAD without MDD (OR=3.69, 95% CI [1.34-10.11], p=.01), and comorbid MDD and GAD (OR=4.17, 95% CI [1.66-10.51], p=.002) were associated with greater disability than the control group. Only comorbid MDD and GAD were associated with disability when lifetime diagnoses of MDD and GAD were considered. CONCLUSIONS: Individuals with diabetes may be particularly vulnerable to comorbid MDD and GAD, and MDD-GAD comorbidity may exacerbate disability in persons with diabetes.