Scholarlink

Background <p>Chronic diseases and depression pose significant health challenges among older adults, but their dynamic relationship is not fully understood. This study explores how chronic diseases affect depressive trajectories in older adults using a comprehensive health ecology model.</p> Methods <p>We conducted a longitudinal analysis using data from 21,541 adults aged 60 + from the China Family Panel Studies (CFPS). The baseline sample (2012) included 3709 older adults, with an average age of 65.88 years, and 1912 (51.45%) male and 1797 (48.45%) female participants. Depressive status was assessed using the CES-D20 scale, and depressive trajectories were identified through group-based trajectory modeling (GBTM). Based on the health ecology model, personal characteristics, behavioral lifestyle, family networks, living environment, and policy environment factors were included. Logistic regression was used to examine the factors influencing depressive trajectories.</p> Results <p>Chronic disease prevalence increased with age, peaking in the 75–79 age group. GBTM identified two distinct depressive trajectories: low-level (84.3%) and high-level (15.7%). Older adults with chronic diseases were more likely to be in the high-level depressive group (20.51% vs. 11.32%). Risk factors for high-level depression included female gender, impaired ADL, poor self-rated health, smoking, living in rural areas, and lower family income levels. Protective factors included alcohol consumption, regular exercise, being married, and having urban/rural residence medical insurance or employee medical insurance.</p> Conclusion <p>The study identified two distinct depressive trajectories, with chronic diseases significantly increasing the risk of persistent high-level depression in older adults.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Depressive trajectories and their associations with chronic diseases among older adults: a national longitudinal cohort study from China

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月16日

查看全文
  • Xianqi Zhang,
  • Ziyuan Li,
  • Qianqian Yu,
  • Yongli Shi,
  • Ping Dong,
  • Haoqi Li,
  • Mengyuan Xu,
  • Xianglan Zhuge,
  • Pengyu Lou,
  • Wenqiang Yin,
  • Zhongming Chen

摘要

Background

Chronic diseases and depression pose significant health challenges among older adults, but their dynamic relationship is not fully understood. This study explores how chronic diseases affect depressive trajectories in older adults using a comprehensive health ecology model.

Methods

We conducted a longitudinal analysis using data from 21,541 adults aged 60 + from the China Family Panel Studies (CFPS). The baseline sample (2012) included 3709 older adults, with an average age of 65.88 years, and 1912 (51.45%) male and 1797 (48.45%) female participants. Depressive status was assessed using the CES-D20 scale, and depressive trajectories were identified through group-based trajectory modeling (GBTM). Based on the health ecology model, personal characteristics, behavioral lifestyle, family networks, living environment, and policy environment factors were included. Logistic regression was used to examine the factors influencing depressive trajectories.

Results

Chronic disease prevalence increased with age, peaking in the 75–79 age group. GBTM identified two distinct depressive trajectories: low-level (84.3%) and high-level (15.7%). Older adults with chronic diseases were more likely to be in the high-level depressive group (20.51% vs. 11.32%). Risk factors for high-level depression included female gender, impaired ADL, poor self-rated health, smoking, living in rural areas, and lower family income levels. Protective factors included alcohol consumption, regular exercise, being married, and having urban/rural residence medical insurance or employee medical insurance.

Conclusion

The study identified two distinct depressive trajectories, with chronic diseases significantly increasing the risk of persistent high-level depression in older adults.