The longitudinal patterns of depression subtypes and stressors in depression severity in the Canadian longitudinal study on aging (CLSA)

Su, Yingying1,2,3; Li, Muzi1,2; Schmitz, Norbert1,2,4; Meng, Xiangfei1,2,5

2024-09-01

10.1111/pcn.13728

PSYCHIATRY AND CLINICAL NEUROSCIENCES   影响因子和分区

1323-1316

1440-1819

Aim: The 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. Methods: The 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. Results: Distinct 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. Conclusions: This 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.

atypical depression COVID-19 melancholia stability stress

SCI

英语

其他

Catalyst Grant: Analysis of CLSA Data, from the Canadian Institutes of Health Research[23ca014]

Neurosciences & Neurology ; Psychiatry

Clinical Neurology ; Neurosciences ; Psychiatry

WOS:001302868500001

WILEY

NEUROSCIENCE & BEHAVIOR

Web of Science

1.McGill Univ, Dept Psychiat, Montreal, PQ, Canada
2.Douglas Res Ctr, Montreal, PQ, Canada
3.Southern Univ Sci & Technol, Sch Publ Hlth & Emergency Management, Shenzhen, Guangdong, Peoples R China
4.Tuebingen Univ, Dept Populat Based Med, Tubingen, Germany
5.Univ Ottawa, Fac Hlth Sci, Interdisciplinary Sch Hlth Sci, Ottawa, ON, Canada

Su, Yingying,Li, Muzi,Schmitz, Norbert,et al. The longitudinal patterns of depression subtypes and stressors in depression severity in the Canadian longitudinal study on aging (CLSA)[J]. PSYCHIATRY AND CLINICAL NEUROSCIENCES,2024.

Su, Yingying,Li, Muzi,Schmitz, Norbert,&Meng, Xiangfei.(2024).The longitudinal patterns of depression subtypes and stressors in depression severity in the Canadian longitudinal study on aging (CLSA).PSYCHIATRY AND CLINICAL NEUROSCIENCES.

Su, Yingying,et al."The longitudinal patterns of depression subtypes and stressors in depression severity in the Canadian longitudinal study on aging (CLSA)".PSYCHIATRY AND CLINICAL NEUROSCIENCES (2024).