ArticleFrontiers in endocrinology2023
Predicting metabolic syndrome by obesity- and lipid-related indices in mid-aged and elderly Chinese: a population-based cross-sectional study.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.
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73 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.
- Gender-specific accuracy of lipid accumulation product index for the screening of metabolic syndrome in general adults: a meta-analysis and comparative analysis with other adiposity indicators.Lipids in health and disease · 2024Pooled it
- Impact of lipid accumulation product on cardiometabolic multimorbidity and the mediating effect of leukocytes: evidence from a prospective cohort study among middle-aged and elderly chinese adults.The Journal of the Egyptian Public Health Association · 2026Article
- Associations of Physical Activity, Sedentary Behaviour, and Sleep with Somatotype Components and a Body Shape Index in Young Adults.Journal of functional morphology and kinesiology · 2026Article
- Triglyceride-glucose waist-to-height ratio improves risk stratification for depressive symptoms: evidence from NHANES.European archives of psychiatry and clinical neuroscience · 2026Article
- LDL-C combined with Chinese visceral adiposity index as a risk stratification tool for cardiometabolic multimorbidity in middle-aged and older Chinese adults: a national prospective cohort study.Cardiovascular diabetology · 2026Article
- TyHGB combined with diagonal earlobe crease and traditional risk factors for constructing a diagnostic model of coronary heart disease.Lipids in health and disease · 2026Article
- The relationship between IGF-1 and cardiovascular diseases and the potential mediating role of TyG-related index: evidence from a cohort study.BMC cardiovascular disorders · 2026Article
- Comparison of diagnostic value of abdominal obesity and metabolism-related indicators for non-alcoholic fatty liver disease in lean individuals.BMC gastroenterology · 2026Article
- Sex Differences in the Prevalence and Associated Factors of Metabolic Syndrome: A Cross-Sectional Study of University Employees in China.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- The Relationship Between Dynamic Changes in the Insulin Resistance-Related Indices and Metabolic Syndrome in Middle-Aged and Elderly Population.International journal of endocrinology · 2026Article
- Gender-Specific Predictive Utility of Twelve Anthropometric Indices for Metabolic Syndrome in Chinese Lahu Adults with Dyslipidemia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Central adiposity and sex influence lipid and glucose indices in Mexican adults: implications for metabolic risk assessment.Frontiers in nutrition · 2026Article
- Sex-Specific Predictive Value of Obesity-Related Indicators for Diabetic Kidney Disease in Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Predicting patient dropout: a nomogram for loss to follow-up afterFrontiers in public health · 2026Article
- Joint Association of Inflammatory-Metabolic Indices With Risk of Incident Stroke Among Middle-Aged and Older Chinese Adults.Journal of obesity · 2026Article
- Non-linear relationship between the triglyceride glucose-a body shape index and stroke risk: a prospective cohort study from the China health and retirement longitudinal study.Diabetology & metabolic syndrome · 2025Article
- The additive effect of cardiopulmonary fitness and triglyceride-glucose index on the risk of metabolic syndrome.BMC cardiovascular disorders · 2025Article
- Article
- Predicting circadian syndrome by obesity indices in middle-aged and older Chinese: evidence from the China Health and Retirement Longitudinal Study.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- [Predictive value of a Chinese visceral adiposity index for metabolic associated fatty liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025Article
13 more citing papers are in PubMed but not listed here.
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Authors and funding
17 authors at 3 institutions in 1 country.
Funding
Abstract
Objective: To predict the optimal cut-off values for screening and predicting metabolic syndrome(MetS) in a middle-aged and elderly Chinese population using 13 obesity and lipid-related indicators, and to identify the most suitable predictors. Methods: The data for this cross-sectional investigation came from the China Health and Retirement Longitudinal Study (CHARLS), including 9457 middle-aged and elderly people aged 45-98 years old. We examined 13 indicators, including waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product index (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride-glucose index (TyG-index) and their combined indices (TyG-BMI, TyG-WC, TyG-WHtR). The receiver operating characteristic curve (ROC) was used to determine the usefulness of indicators for screening for MetS in the elderly and to determine their cut-off values, sensitivity, specificity, and area under the curve (AUC). Association analysis of 13 obesity-related indicators with MetS was performed using binary logistic regression analysis. Results: A total of 9457 middle-aged and elderly Chinese were included in this study, and the overall prevalence of the study population was 41.87% according to the diagnostic criteria of NCEP ATP III. According to age and gender, the percentage of males diagnosed with MetS was 30.67% (45-54 years old: 30.95%, 55-64 years old: 41.02%, 65-74 years old: 21.19%, ≥ 75 years old: 6.84%). The percentage of females diagnosed with MetS was 51.38% (45-54 years old: 31.95%, 55-64 years old: 39.52%, 65-74 years old: 20.43%, ≥ 75 years old: 8.10%). The predictive power of Tyg-related parameters was more prominent in both sexes. In addition, LAP and CVAI are also good at predicting MetS. ABSI had a poor prediction ability. Conclusions: Among the middle-aged and elderly population in China, after adjusting for confounding factors, all the indicators except ABSI had good predictive power. The predictive power of Tyg-related parameters was more prominent in both sexes. In addition, LAP and CVAI are also good at predicting MetS.
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