Gendering Neighbourhood Marginalization Metrics in Mental Health Services Research

A Cross-Sectional Exploration of a Rural and Small Urban Population

Datos Bibliográficos

ID15480637
AutoresNeeru Gupta (0000-0001-9580-1588, University of New Brunswick, autor de correspondencia), Dan L Crouse (0000-0002-8824-3108, Health Effects Institute), Ismael Foroughi (0000-0003-2150-8981, University of New Brunswick), Thalia Nikolaidou (0000-0003-1817-6015, University of New Brunswick)
Año2021
Volumen18
Número21
Páginas11197-11197
Fecha de publicación2021-10-25
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph182111197
PMID34769718
OpenAlexW3211173677
IdiomaEN
Citas recibidas1
Referencias citadas35

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

Cross-sectional study · Environmental health · Geography · Mental health · Multinomial logistic regression · Neighbourhood (mathematics · Population · Psychiatry · Psychological intervention · Residence · Socioeconomic status · Sociology · Demography · Employment and Welfare Studies · Health disparities and outcomes · Health, psychology, and well-being · Medicine · Psychology · Gerontology