Examining the relationship between neighbourhood deprivation and mental health service use of immigrants in Ontario, Canada: a cross-sectional study

Background: Little is known about the extent to which socioenvironmental characteristics may influence mental health outcomes in smaller population centres or differently among women and men. This study used a gender-based analysis approach to explore individual- and neighbourhood-level sex differences in mental health service use in a context of uniquely smaller urban and rural settlements. Methods: This cross-sectional analysis leveraged multiple person-based administrative health datasets linked with geospatial datasets among the population aged 1 and over in the province of New Brunswick, Canada. We used multinomial logistic regression to examine associations between neighbourhood characteristics with risk of service contacts for mood and anxiety disorders in 2015/2016, characterizing the areal measures among all residents (gender neutral) and by males and females separately (gender specific), and controlling for age group. Results: Among the province’s 707,575 eligible residents, 10.7% (females: 14.0%; males: 7.3%) used mental health services in the year of observation. In models adjusted for gender-neutral neighbourhood characteristics, service contacts were significantly more likely among persons residing in the most materially deprived areas compared with the least (OR = 1.09 [95% CI: 1.05–1.12]); when stratified by individuals’ sex, the risk pattern held for females (OR = 1.13 [95% CI: 1.09–1.17]) but not males (OR = 1.00 [95% CI: 0.96–1.05]). Residence in the most female-specific materially deprived neighbourhoods was independently associated with higher risk of mental health service use among individual females (OR = 1.08 [95% CI: 1.02–1.14]) but not among males (OR = 1.02 [95% CI: 0.95–1.10]). Conclusion: These findings emphasize that research needs to better integrate sex and gender in contextual measures aiming to inform community interventions and neighbourhood designs, notably in small urban and rural settings, to reduce socioeconomic inequalities in the burden of mental disorders.

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Do psychosocial job stressors influence mental health service use? Evidence from an Australian cohort

Occupational and Environmental Medicine ◽

10.1136/oemed-2018-105440 ◽

2019 ◽

Vol 76 (5) ◽

pp. 295-301

Author(s):

Allison Milner ◽

Dennis Petrie ◽

Anthony D LaMontagne ◽

Peter Butterworth

Keyword(s):

Mental Health ◽

Mental Health Service ◽

Health Service ◽

Fixed Effects ◽

Service Use ◽

Longitudinal Research ◽

Mental Health Service Use ◽

Health Service Use ◽

Job Stressors ◽

The Relationship

ObjectivesThere is strong evidence of a relationship between psychosocial job stressors and mental health at the population level. There has been no longitudinal research on whether the experience of job stressors is also associated with greater mental health service use. We seek to fill this gap.MethodsThe Household Income Labour Dynamics in Australia survey cohort was used to assess the relationship between exposure to self-reported psychosocial job quality and reporting attendance at a mental health professional during the past 12 months. We adjusted for time-varying and time-invariant confounders. The study was conducted in 2009 and 2013.ResultsIn the random effects logistic regression model, increasing exposure to psychosocial job stressors was associated with an increased odds of mental health service use after adjustment (one stressor: OR 1.26, 95% CI 1.01 to 1.56; two stressors: OR 1.33, 95% CI 1.02 to 1.73; three stressors: OR 1.82, 95% CI 1.28 to 2.57). However, once the between person effects were controlled in a fixed effects model, the within-person association between change in job stressors and change in mental health service use was estimated to be close to zero and not significant.ConclusionsMore work is needed to understand the relationship between job stressors and service use. However, when taken with past findings on job stressors and mental health, these findings highlight the importance of considering policy and clinical practice responses to adverse working contexts.

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