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Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China.
Zhang, Xianghui; Ding, Yusong; Shao, Yinbao; He, Jia; Ma, Jiaolong; Guo, Heng; Keerman, Mulatibieke; Liu, Jiaming; Si, Huili; Guo, Shuxia; Ma, Rulin.
Afiliación
  • Zhang X; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • Ding Y; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • Shao Y; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • He J; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • Ma J; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • Guo H; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • Keerman M; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • Liu J; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • Si H; Department of Neurology, Shihezi People's Hospital, Shihezi, Xinjiang, People's Republic of China.
  • Guo S; Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
  • Ma R; Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, People's Republic of China.
Diabetes Metab Syndr Obes ; 14: 1609-1620, 2021.
Article en En | MEDLINE | ID: mdl-33889002
BACKGROUND: Few studies have focused on the predictive ability of visceral obesity-related indices for metabolic syndrome (MetS), especially in different ethnic groups. This study aimed to evaluate the applicability of visceral obesity-related indices for MetS screening among three major ethnic groups living in remote rural areas of Xinjiang. METHODS: Based on multistage stratified cluster random sampling method, 3,192 Uyghurs, 3,054 Kazakhs, and 3,658 Hans were recruited from Xinjiang, China. The Joint Interim Statement (JIS) criteria were used to define MetS. The receiver operating characteristic curve (ROC), area under the ROC curve (AUC), and predictive value of each visceral obesity-related index were used to evaluate the predictive ability of MetS. RESULTS: After adjusting for potential confounding factors, the lipid accumulation product (LAP), Chinese visceral adiposity index (CVAI), waist-to-height ratio (WHtR), and atherogenic index of plasma (AIP) were significantly correlated with MetS for each ethnic group, and the odds ratios (ORs) for MetS increased across quartiles. LAP was best able to identify MetS status in Kazakhs (AUC=0.853) and Uyghurs (AUC=0.851), with optimal cut-offs being 36.3 and 28.2, respectively. Both LAP (AUC=0.798) and CVAI (AUC=0.791) most accurately identified MetS status in Hans, with the optimal cut-offs being 27.3 and 85.0, respectively. Moreover, the AUC of the combination of these visceral obesity-related indices is higher for each ethnic group. However, compared with LAP, the improved value of combined screening was not significant. CONCLUSION: LAP had the best discriminative capability for the screening of MetS among Kazakhs, Uyghurs, and Hans. The screening ability of CVAI for MetS was similar to that of LAP in Hans. Thus, LAP may be a complementary indicator for assessing MetS in various ethnic groups.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diabetes Metab Syndr Obes Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diabetes Metab Syndr Obes Año: 2021 Tipo del documento: Article