Longitudinal association between visceral adiposity index and arthritis-diabetes comorbidity risk: A cohort study
Huidong Zhang1,2, Hanyi Wang2, Xinyi Zhang2
1Hebei University of Chinese Medicine, Graduate School, Shijiazhuang, Hebei Province, China.
Insights
Visceral adiposity index (VAI) can predict the risk of developing arthritis and diabetes comorbidity in older Chinese adults. Higher VAI levels are associated with increased risk, suggesting VAI as a potential noninvasive screening tool.
Area of Science:
- Metabolic Health
- Chronic Disease Epidemiology
- Biomarker Research
Background:
- Visceral adiposity is linked to chronic inflammation and disease.
- The predictive value of the visceral adiposity index (VAI) for arthritis-diabetes comorbidity is not well-established.
- Noninvasive markers for predicting chronic disease risk are needed.
Purpose of the Study:
- To investigate the association between VAI and the risk of developing arthritis-diabetes comorbidity.
- To evaluate VAI as a potential noninvasive tool for risk prediction.
- To explore dose-response relationships and subgroup effects.
Main Methods:
- Utilized data from the China Health and Retirement Longitudinal Survey (CHARLS) of adults aged 45 and above.
- Employed multivariate logistic regression analyses, adjusting for confounders.
- Assessed predictive power using receiver-operating characteristic (ROC) curves and analyzed subgroup effects.
Main Results:
- A positive correlation was observed between VAI and arthritis-diabetes comorbidity.
- Each interquartile range increase in VAI was associated with a 10% increased risk (OR=1.10).
- Individuals in the highest VAI quartile had a significantly higher risk (OR=4.30) compared to the lowest, with a significant dose-response trend (P=0.001).
- The fully adjusted model showed moderate discriminative ability (AUC=0.703).
- Consistent associations were found in females and non-smokers, with a nonlinear dose-response relationship.
Conclusions:
- Increased VAI is an independent predictor of higher arthritis-diabetes comorbidity risk in middle-aged/elderly Chinese adults.
- The association exhibits nonlinearity and subgroup heterogeneity.
- Targeted visceral adiposity reduction in high-risk groups may be a viable strategy for chronic disease prevention.
Abstract:
Visceral adiposity (metabolic dysregulation) plays a role in chronic inflammation and contributes to many chronic diseases. However, it is unclear whether visceral adiposity index (VAI) can be used to predict arthritis-diabetes risk. In our study, we investigated this connection and explored the potential of VAI as a noninvasive and clinically feasible candidate tool. We used data from CHARLS, China Health and Retirement Longitudinal Survey of Chinese adults 45 years old or above. VAI (per increase in interquartile range and quartiles) and incident arthritis-diabetes comorbidity were analyzed using multivariate logistic regression analyses adjusted for sociodemographic, lifestyle and clinical confounders. Predictive power was assessed using receiver-operating characteristic curves. Dose-response and effect changes among subgroups (e.g., gender, smoking) were also investigated. VAI has a positive correlation with arthritis-diabetes comorbidity. After full adjustment (Model 3), each increase in interquartile range of VAI increases the risk by 10% (odds ratio = 1.10, 95% confidence interval = 1.04-1.17). Individuals in the highest VAI quartile (Q4) have a significantly higher risk (odds ratio = 4.30, 95% confidence interval = 2.18-9.30) than those in the lowest quartile (Q1), with a significant dose-response trend (P for trend 0.001). The fully adjusted model had moderate discriminative ability (area under the curve = 0.703, consistent with the full result). Subgroup analyses showed consistent positive associations between VAI and arthritis-diabetes comorbidity in female participants and nonsmokers. A nonlinear dose-response curve showed that the comorbidity risk increases with increasing VAI. Increased VAI independently contributes to a higher risk of arthritis-diabetes comorbidity in middle-aged/elderly Chinese adults, with significant nonlinearity, subgroup heterogeneity, and robustness after confounder adjustment. Targeted visceral adiposity reduction in high-risk subgroups may be a potential strategy for reducing comorbidity burden, which needs to be verified by subsequent interventional studies, and it may provide a basis for chronic disease precision prevention in this population.
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