Association between chronic diseases and depressive inclinations among rural middle-aged and older adults

This study investigates the association between chronic diseases and depressive inclinations among middle-aged and older adults in rural Northwest China, emphasizing the moderating role of social relationships. Data collected via face-to-face surveys in a cross-sectional design conducted in March 2021, encompassing 395 participants aged 45 and above, were analyzed using Ordinary Least Squares (OLS) regression. The results indicate that, excluding metabolic diseases (such as dyslipidemia and diabetes), other chronic diseases significantly increase depressive inclinations, particularly eye diseases, chronic lung diseases, heart disease, rheumatoid arthritis, and gastrointestinal diseases. Additionally, a greater number of chronic diseases show a positive association with depressive inclinations. Among social relationships, spousal trust and intergenerational relationship satisfaction were associated with a mitigation of the association between chronic diseases and depressive inclinations, whereas skipped generational caregiving exacerbated this association. Other social relationships, including kinship and friendship network size, neighbor relationships, and villager relationships, exhibited no significant moderating associations. These findings underscore the critical role of positive family relationships and robust social support systems in improving the mental health of rural middle-aged and older adults. They provide practical insights for designing targeted policies and interventions to promote healthy aging and mental well-being in resource-limited rural settings.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-03-05
DOI
https://doi.org/10.1038/s41598-025-91679-5
Citations
4
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
8.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between chronic diseases and depressive inclinations among rural middle-aged and older adults

Haisong Nie, Yaojiang Shi, Liuchun Xiang, Jie Yang et al.
4 citations
Scientific Reports
Health disparities and outcomes
8.67
article

Association between chronic diseases and depressive inclinations among rural middle-aged and older adults

Haisong Nie, Yaojiang Shi, Liuchun Xiang, Jie Yang, Masaaki Yamada
article en
4 citations

Abstract

This study investigates the association between chronic diseases and depressive inclinations among middle-aged and older adults in rural Northwest China, emphasizing the moderating role of social relationships. Data collected via face-to-face surveys in a cross-sectional design conducted in March 2021, encompassing 395 participants aged 45 and above, were analyzed using Ordinary Least Squares (OLS) regression. The results indicate that, excluding metabolic diseases (such as dyslipidemia and diabetes), other chronic diseases significantly increase depressive inclinations, particularly eye diseases, chronic lung diseases, heart disease, rheumatoid arthritis, and gastrointestinal diseases. Additionally, a greater number of chronic diseases show a positive association with depressive inclinations. Among social relationships, spousal trust and intergenerational relationship satisfaction were associated with a mitigation of the association between chronic diseases and depressive inclinations, whereas skipped generational caregiving exacerbated this association. Other social relationships, including kinship and friendship network size, neighbor relationships, and villager relationships, exhibited no significant moderating associations. These findings underscore the critical role of positive family relationships and robust social support systems in improving the mental health of rural middle-aged and older adults. They provide practical insights for designing targeted policies and interventions to promote healthy aging and mental well-being in resource-limited rural settings.

Scientific ReportsVol. 15(1)
Shaanxi Normal University (CN), Tokyo University of Agriculture and Technology (JP)
Higher Education Discipline Innovation Project
Openalex Percentile: Top 3%
Health disparities and outcomes
8.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.