4.7 Article

Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults

Journal

FRONTIERS IN ENDOCRINOLOGY
Volume 13, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fendo.2022.1016581

Keywords

metabolic syndrome; lipid accumulation product; obesity; lipid; adults; healthy

Funding

  1. National Key Research and Development Program of China [2022YFC3602900]
  2. Innovation Platform for Academicians of Hainan Province (Academician Chen Xiangmei of Hainan Province Kidney Diseases Team Innovation Center)
  3. Specialized Scientific Program of the Innovation Platform for Academicians of Hainan Province [YSPTZX202026]
  4. Specialized Scientific Research Project of Military Health Care [21BJZ37]
  5. National Natural Science Foundation of China [82030025]
  6. Clinical Research Support Fund, Young Talent Project, Chinese PLA General Hospital [2019XXMBD-005, 2019XXJSYX01]
  7. Construction Project of Improving Medical Service Capacity of Provincial Medical Institutions in Henan Province (2017)
  8. Medical and Health Research Project in Luoyang [2001027A]

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This study evaluated the predictive value of eight obesity- and lipid-related indicators for MetS. The results showed that LAP, TYG, CVAI, and VAI, which are based on blood lipids, had higher predictive abilities for MetS compared to BMI, BRI, AVI, and BAI, which are based on anthropometry. Among these indicators, LAP had the best predictive ability.
Background and objectiveMetabolic syndrome (MetS) is an important risk factor for cardiovascular complications and kidney damage. Obesity- and lipid-related indices are closely related to MetS, and different indices have different predictive abilities for MetS. This study aimed to evaluate the predictive value of eight obesity- and lipid-related indicators, namely, body mass index (BMI), lipid accumulation product (LAP), body roundness index (BRI), Chinese visceral adiposity index (CVAI), body adiposity index (BAI), abdominal volume index (AVI), triglyceride glucose index (TYG), and visceral adiposity index (VAI), for MetS. MethodsA total of 1,452 relatively healthy people in Beijing were enrolled in 2016, and the correlation between the eight indicators and MetS was analyzed by multivariate logistic regression. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to analyze the predictive ability of the eight indicators for MetS. The Delong test was used to compare the AUC values of the eight indicators. MetS was defined according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2020 edition), the revised National Cholesterol Education Program Adult Treatment Group (NCEP-ATPIII), and the International Diabetes Federation (IDF). ResultsUsing these three sets of criteria, LAP, TYG, CVAI, and VAI, which are based on blood lipids, had higher AUC values for MetS prediction than BMI, BRI, AVI, and BAI, which are based on anthropometry. LAP had the highest AUC values of 0.893 (0.874-0.912), 0.886 (0.869-0.903), and 0.882 (0.864-0.899), separately, based on the three sets of criteria. ConclusionThe eight obesity- and lipid-related indicators had screening value for MetS in relatively healthy people, and of the eight indicators, LAP performed the best.

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