Association between Self-rated Health and Age-adjusted Charlson Comorbidity Index in the Elderly of Different Genders
10.13471/j.cnki.j.sun.yat-sen.univ（med.sci）.2025.0513
- VernacularTitle:不同性别老年人自评健康与年龄矫正Charlson共病指数的关联
- Author:
Xiaohong CHEN
1
;
Rongli MA
1
;
Huilin YE
1
;
Yuwei CAO
1
;
Li WANG
1
;
Ying LIU
1
Author Information
1. The Department of Cadre Ward， General Hospital of the Central Theater Command， People's Liberation Army， Wuhan 430000， China
- Publication Type:Journal Article
- Keywords:
elder;
self-assessed health;
age-corrected Charlson co-morbidity index;
gender differences;
cross-sectional study
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2025;46(5):836-842
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo explore the relationship between self-assessed health and age-adjusted Charlson comorbidity index （AICC） in older adults， and to further analyze the differences in this relationship across gender groups. MethodsBased on the China health and retirement longitudinal study （CHARLS） database， this study selected data on basic characteristics， chronic disease status， depressive symptoms， and self-assessed health of older adults aged ≥60 years. Chi-square tests were used to perform a preliminary analysis of the association between these factors and AICC scores. A multifactorial ordered logistic regression model was constructed to assess the effects of each influencing factor on AICC， while multiple linear regression analysis was used to explore the linear relationship between self-rated health and AICC scores. Additionally. Stratified analysis by gender was performed to evaluate gender differences. ResultsA total of 10 911 participants were included， with a mean age of 67.40±5.94 years； 6 249 （57.3%） were male and 4 662（42.7%） were female. The distribution of AICC scores was categorized into low-risk， moderate-risk， higher-risk， and high-risk groups， accounting for 23.5%， 50.2%， 20.6%， and 5.7%， respectively. Multifactorial logistic regression analysis revealed that self-rated health was negatively associated with AICC in the total population and in the male geriatric group （OR=0.843， 95% CI： 0.776， 0.917， P=0.001）， （OR=0.886， 95% CI： 0.796 ， 0.987， P=0.028）， but did not reach statistical significance in the female geriatric group . Linear regression analysis further indicated a significant negative linear relationship between self-rated health and AICC （b=-0.485， 95% CI： -0.516，-0.455， P＜0.001）.This relationship was consistent in both male （b=-0.356， 95% CI： -0.406，-0.305， P＜0.001） and female （b=-0.373， 95% CI： -0.435，-0.310， P＜0.001） subgroups， with a stronger negative association in females. ConclusionSelf-rated health is significantly negatively associated with AICC， and attention should be given to self-rated health in the female geriatric population. Self-rated health can serve as an important tool for identifying elderly group at high risk of comorbidities providing a valuable basis for precise intervention.
