Predicting metabolic syndrome by obesity- and lipid-related indices in mid-aged and elderly Chinese: a population-based cross-sectional study

Abstract

ObjectiveTo 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.MethodsThe 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.ResultsA 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.ConclusionsAmong 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.

Association between triglyceride-glucose related indices with the all-cause and cause-specific mortality among the population with metabolic syndrome

“…For example, one large-scale longitudinal study conducted in Korea showed that the TyG index had a high predictive value in determining the long-term risk for developing MetS among the Korean population [ 16 ]. Similar findings were also observed in other countries with varied ethnicity [ 13 , 18 , 19 ]. Recently, robust evidence derived from the meta-analysis revealed that the pool sensitivity and specificity of the TyG index for MetS screening were all above 80%, which validates the clinical utility of this index [ 19 ].…”

“…It showed promising value in predicting the onset and progress of multiple metabolic diseases [ 12 ]. Consistently, emerging evidence highlighted that the TyG index also maintained the high capability of identifying individuals at high risk of developing MetS [ 13 – 18 ]. For example, one large-scale longitudinal study conducted in Korea showed that the TyG index had a high predictive value in determining the long-term risk for developing MetS among the Korean population [ 16 ].…”

“…Regarding the applications of these surrogate biomarkers in screening the MetS, noteworthy progress has been made. Notably, the large-scale, population-based evidence determined that the TyG index showed higher predictive power for predicting the prevalence of MetS in the general population from different countries or races [ 14 , 16 , 18 , 39 ]. Furthermore, the latest systemic review and meta-analysis of 49,325 participants derived from thirteen observational studies supported the clinical utility of the TyG index in the screening of MetS, with optimal sensitivity and specificity [ 19 ].…”

Association of Three Novel Inflammatory Markers: Lymphocyte to HDL‐C Ratio, High‐Sensitivity C‐Reactive Protein to HDL‐C Ratio and High‐Sensitivity C‐Reactive Protein to Lymphocyte Ratio With Metabolic Syndrome

“…The prevalence of MetS has been growing both in Iran and around the world, which is attributed to changes in lifestyle [ 18 , 19 , 20 ]. So far, many studies have investigated the relationship between different inflammatory markers and the presence of MetS in different countries.…”

Investigating the Influence of Heavy Metals and Environmental Factors on Metabolic Syndrome Risk Based on Nutrient Intake: Machine Learning Analysis of Data from the Eighth Korea National Health and Nutrition Examination Survey (KNHANES)

“…The World Health Organization (WHO) and various leading health institutions have documented the escalating prevalence of this syndrome, especially in countries undergoing swift urbanization and experiencing consequential lifestyle shifts [ 5 , 6 ]. This is particularly concerning given the syndrome’s links to chronic diseases, such as heart disease and diabetes, both of which rank highly among global mortality causes [ 7 , 8 ].…”