ArticlePsychiatry and clinical neurosciences2024
The longitudinal patterns of depression subtypes and stressors in depression severity in the Canadian longitudinal study on aging (CLSA).
Article in Psychiatry and clinical neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Cross-sectional and longitudinal relationships between COVID-19 stressors and depressive symptoms across sex and age groups: findings from the Canadian longitudinal study on aging.Epidemiology and psychiatric sciences · 2025Article
- The impact of vision impairment on depressive symptoms among older adults: The mediating role of dispositional optimism.PloS one · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
aimThe current study aims to characterize the longitudinal patterns of depression subtypes and investigate the associations among the stability of depression subtypes, COVID-19-related stressors, and depression severity.
methodsThe study utilized data from the Canadian Longitudinal Study on Aging, which is a national, long-term study of Canadian adults aged 45 and older (n = 12,957). Latent profile analysis was used to identify latent depression subtypes. Latent transition analysis was then applied to assess the stability of these subtypes over time. Hierarchical multivariate linear regression was used to explore the relationships among these identified depression subtypes, COVID-19-related stressors, and depression severity among males and females, respectively.
resultsDistinct depression subtypes were identified. Except for atypical depression, other depression subtypes showed greater stability over time. We also found that melancholic depression (B = 9.432) and typical depression (B = 6.677) were strongly associated with depression severity during the pandemic. Health-related stressors (B = 0.840), conflict (B = 3.639), difficulties accessing resources (B = 0.927), separation from family (B = 0.840), and caregiving experience (B = 0.764), were significantly associated with increased depression severity. Sex-specific analyses also revealed differences in the associations between stressors and depression severity between males and females.
conclusionsThis study contributes valuable insights into the latent clustering of depression subtypes and their stability. Stressors were associated with increased depression severity, with distinct associations observed among males and females. These findings have implications for targeted early interventions and integrated clinical management strategies by providing the evidence base for tailored mental health care during and after the pandemic.
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