Association Between Obesity-Related Metabolic Indices and Knee Osteoarthritis: A Cross-Sectional Study in Middle-Aged and Older Chinese Adults
- VernacularTitle:肥胖及相关代谢指标与膝骨关节炎的关联: 基于中国中老年人群的横断面研究
- Author:
Changfa HUANG
1
;
Hao FAN
1
;
Ze WEI
2
;
Jing HAO
2
;
Lijin LIU
2
;
Su LIU
2
;
Zhifa ZHENG
3
;
Fei LIU
2
;
Lina ZHAO
3
;
Zhihong WU
3
Author Information
- Publication Type:Journal Article
- Keywords: knee osteoarthritis; obesity; metabolic; sex differences; Chinese population
- From: Medical Journal of Peking Union Medical College Hospital 2025;17(1):172-180
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the association between obesity-related metabolic indices and the risk of knee osteoarthritis(KOA) in middle-aged and older Chinese adults(≥45 years) using data from the China Health and Retirement Longitudinal Study(CHARLS).
Methods Data from two CHARLS survey waves(2011—2012 and 2015—2016) were analyzed. Obesity indices—including body mass index(BMI), waist circumference(WC), waist-to-height ratio(WHtR), visceral adiposity index(VAI), a body shape index(ABSI), body roundness index(BRI), lipid accumulation product(LAP), conicity index(CI), and Chinese visceral adiposity index(CVAI)-and metabolic indices-triglyceride glucose index(TyG), TyG-BMI, TyG-WC, and TyG-WHtR-were collected. Covariates comprised demographic characteristics, lifestyle factors, and health status. Three multivariate logistic regression models were constructed. Sex-subgroup analyses assessed heterogeneity, and receiver operating characteristic(ROC) curves with area under the curve(AUC) were used to evaluate diagnostic performance.
Results Among 9527 participants, the prevalence of KOA was 9.59%(914/9527). After adjusting for confounders, linear regression revealed significant positive associations between KOA and BMI(
OR =1.02, 95% CI: 1.00-1.04,P =0.048), BRI(OR =1.06, 95% CI: 1.01-1.13,P =0.030), LAP(OR =1.03, 95% CI: 1.00-1.05,P =0.020), TyG-BMI(OR =1.02, 95% CI: 1.00-1.05,P =0.020), and TyG-WHtR(OR =1.13, 95% CI: 1.02-1.25,P =0.020). Sex-stratified analyses showed that in women, BMI(OR =1.03, 95% CI: 1.01-1.06,P =0.020), WHtR(OR =1.18, 95% CI: 1.02-1.36,P =0.020), BRI(OR =1.08, 95% CI: 1.01-1.16,P =0.020), LAP(OR =1.03, 95% CI: 1.01-1.06,P =0.020), CVAI(OR =1.04, 95% CI: 1.01-1.07,P =0.009), TyG-BMI(OR =1.03, 95% CI: 1.01-1.06,P =0.006), TyG-WC(OR =1.10, 95% CI: 1.01-1.19,P =0.02), and TyG-WHtR(OR =1.18, 95% CI: 1.04-1.34,P =0.010) were positively associated with KOA, whereas no significant associations were observed in men(P > 0.05 for all indices). Significant sex interactions were found for WC(P =0.010), CVAI(P =0.002), and TyG-WC(P =0.020). ROC analysis indicated limited diagnostic utility for all indices[BRI(AUC=0.547, 95% CI: 0.526-0.567), TyG-WHtR(AUC=0.544, 95% CI: 0.524-0.564), others ≤0.530].Conclusions BMI, BRI, LAP, TyG-BMI, and TyG-WHtR may serve as auxiliary indicators for KOA risk assessment in middle-aged and older women, but their standalone screening value remains modest. Clinical evaluation and integration with other risk factors are recommended for comprehensive risk stratification.
