Depressive symptoms in adults in rural and urban regions of Canada: a cross-sectional analysis of the Canadian Longitudinal Study on Aging

Objectives Previous studies on depression in rural areas have yielded conflicting results. Features of rural areas may be conducive or detrimental to mental health. Our objective for this study was to determine if there are rural-urban disparities in depressive symptoms between those living in rural and urban areas of Canada. Design We conducted a cross-sectional analysis of a prospective cohort study, which is as representative as possible of the Canadian population-the Tracking Cohort of the Canadian Longitudinal Study on Aging. For this cohort, data were collected from 2010 to 2014. Data were analysed and results were obtained in 2020. Participants 21 241 adults aged 45-85. Measures Rurality was grouped as urban (n=11 772); peri-urban (n=2637); mixed (n=2125; postal codes with both rural and urban areas); and rural (n=4707). Depressive symptoms were measured using the 10-item Center for Epidemiological Studies-Depression. We considered age, sex, education, marital status and disease states as potential confounding factors. Results The adjusted beta coefficient was -0.24 (95% CI -0.42 to -0.07; p=0.01) for rural participants, -0.17 (95% CI -0.40 to 0.05; p=0.14) for peri-urban participants and -0.30 (95% CI -0.54 to -0.05; p=0.02) for participants in mixed regions, relative to urban regions. Risk factors associated with depressive symptoms were similar in rural and urban regions. Conclusions The small differences in depressive symptoms among those living in rural and urban regions are unlikely to be relevant at a clinical or population level. The findings do suggest some possible approaches to reducing depressive symptoms in both rural and urban populations. Future research is needed in other settings and on change in depressive symptoms over time.

Automated summary

The study found small differences in depressive symptoms between rural and urban residents, with similar risk factors associated with depressive symptoms in both regions. These differences are unlikely to be clinically or population-relevant, but suggest possible approaches to reducing depressive symptoms in both populations. Further research is needed in different settings and on changes in depressive symptoms over time.