Combined effects of depression and visual impairment on cardiovascular disease incidence in a Chinese population-based cohort

Depression and visual impairment (VI) are prevalent in aging populations and known risk factors for cardiovascular disease (CVD). Their combined impact on CVD incidence remains poorly defined. This study investigated the individual and combined effects of depression and VI on incident CVD in a large Chinese cohort. We included 18,633 participants aged ≥ 45 from the China Health and Retirement Longitudinal Study (2011–2018). Participants were categorized into four groups: control, depression only, VI only, and both. Incident CVD was identified during follow-up. Cox regression was used to estimate hazard ratios (HRs). In the fully adjusted model, all three exposure groups had significantly higher CVD risk than the control group. The highest risk was for depression only (HR: 1.60; 95% CI: 1.36–1.89), followed by co-occurring depression and visual impairment (HR: 1.56; 95% CI: 1.40–1.73), and visual impairment only (HR: 1.25; 95% CI: 1.13–1.38). A significant negative multiplicative interaction was observed (HR for interaction: 0.78; 95% CI: 0.65–0.93; p = 0.006). Depression and VI are independently associated with increased CVD risk. Their co-occurrence shows an antagonistic interaction, with combined risk not exceeding that of depression alone. Screening for depressive symptoms in older adults, especially those with VI, may aid CVD prevention.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-03-02
DOI
https://doi.org/10.1038/s41598-026-41670-5
Primary Topic
Cardiac Health and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combined effects of depression and visual impairment on cardiovascular disease incidence in a Chinese population-based cohort

Shunming Liu, Renzhe Cui, Tong Niu, Di Lu et al.
Scientific Reports
Cardiac Health and Mental Health
article

Combined effects of depression and visual impairment on cardiovascular disease incidence in a Chinese population-based cohort

Shunming Liu, Renzhe Cui, Tong Niu, Di Lu, L Liu, Y Zhou, Zhuoning Wu, Shuyang Guo
article en

Abstract

Depression and visual impairment (VI) are prevalent in aging populations and known risk factors for cardiovascular disease (CVD). Their combined impact on CVD incidence remains poorly defined. This study investigated the individual and combined effects of depression and VI on incident CVD in a large Chinese cohort. We included 18,633 participants aged ≥ 45 from the China Health and Retirement Longitudinal Study (2011–2018). Participants were categorized into four groups: control, depression only, VI only, and both. Incident CVD was identified during follow-up. Cox regression was used to estimate hazard ratios (HRs). In the fully adjusted model, all three exposure groups had significantly higher CVD risk than the control group. The highest risk was for depression only (HR: 1.60; 95% CI: 1.36–1.89), followed by co-occurring depression and visual impairment (HR: 1.56; 95% CI: 1.40–1.73), and visual impairment only (HR: 1.25; 95% CI: 1.13–1.38). A significant negative multiplicative interaction was observed (HR for interaction: 0.78; 95% CI: 0.65–0.93; p = 0.006). Depression and VI are independently associated with increased CVD risk. Their co-occurrence shows an antagonistic interaction, with combined risk not exceeding that of depression alone. Screening for depressive symptoms in older adults, especially those with VI, may aid CVD prevention.

Scientific Reports
Yanbian University (CN), Wenzhou Medical University (CN), Eye & ENT Hospital of Fudan University (CN), Yanbian University Hospital (CN), Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), Shenyang The Fourth Hospital of People (CN), Southern Medical University (CN)
Good health and well-being
Openalex Percentile: Top 43%
Cardiac Health and Mental Health
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.