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

IF 5 3区 医学 Q1 CLINICAL NEUROLOGY Psychiatry and Clinical Neurosciences Pub Date : 2024-11-01 Epub Date: 2024-09-02 DOI:10.1111/pcn.13728
Yingying Su, Muzi Li, Norbert Schmitz, Xiangfei Meng
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Abstract

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.

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加拿大老龄化纵向研究(CLSA)中抑郁亚型和抑郁严重程度压力因素的纵向模式。
目的:本研究旨在描述抑郁亚型的纵向模式,并调查抑郁亚型的稳定性、COVID-19相关压力源和抑郁严重程度之间的关联:该研究利用了加拿大老龄化纵向研究(Canadian Longitudinal Study on Aging)的数据,这是一项针对 45 岁及以上加拿大成年人(n = 12957)的全国性长期研究。研究采用潜在特征分析来确定潜在抑郁亚型。然后采用潜转分析来评估这些亚型随时间变化的稳定性。采用层次多元线性回归法分别探讨了这些已确定的抑郁亚型、COVID-19相关压力源以及男性和女性抑郁严重程度之间的关系:结果:发现了不同的抑郁亚型。除了非典型抑郁外,其他抑郁亚型随着时间的推移表现出更大的稳定性。我们还发现,在大流行期间,忧郁型抑郁症(B = 9.432)和典型抑郁症(B = 6.677)与抑郁症严重程度密切相关。与健康相关的压力因素(B = 0.840)、冲突(B = 3.639)、获取资源的困难(B = 0.927)、与家人分离(B = 0.840)和护理经验(B = 0.764)与抑郁严重程度的增加有显著关联。性别特异性分析还显示,男性和女性的压力源与抑郁严重程度之间存在差异:本研究对抑郁亚型的潜在聚类及其稳定性提供了宝贵的见解。压力因素与抑郁严重程度的增加有关,在男性和女性中观察到了不同的关联。这些发现为大流行期间和之后有针对性的心理健康护理提供了证据基础,从而对有针对性的早期干预和综合临床管理策略产生了影响。
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来源期刊
CiteScore
7.40
自引率
4.20%
发文量
181
审稿时长
6-12 weeks
期刊介绍: PCN (Psychiatry and Clinical Neurosciences) Publication Frequency: Published 12 online issues a year by JSPN Content Categories: Review Articles Regular Articles Letters to the Editor Peer Review Process: All manuscripts undergo peer review by anonymous reviewers, an Editorial Board Member, and the Editor Publication Criteria: Manuscripts are accepted based on quality, originality, and significance to the readership Authors must confirm that the manuscript has not been published or submitted elsewhere and has been approved by each author
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