Predicting metabolic syndrome by visceral adiposity index, body roundness index, dysfunctional adiposity index, lipid accumulation product index, and body shape index in adults
NUTRICION HOSPITALARIA, cilt.39, sa.4, ss.794-802, 2022 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 39 Sayı: 4
- Basım Tarihi: 2022
- Doi Numarası: 10.20960/nh.03966
- Dergi Adı: NUTRICION HOSPITALARIA
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Fuente Academica Plus, CINAHL, EMBASE, MEDLINE, Directory of Open Access Journals, DIALNET
- Sayfa Sayıları: ss.794-802
- Anahtar Kelimeler: Adiposity, Body composition, Metabolic syndrome
- Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet
Özet
Introduction: the increasing prevalence of metabolic syndrome draws attention to the importance of detecting metabolic syndrome with practical methods in the early period. Objectives: to compare anthropometric measurements and indexes for prediction of metabolic syndrome (MetS) in adults. Methods: the study was conducted with adults classified as MetS (n = 92) and a control group (n = 137) according to the International Diabetes Federation. Anthropometric measurements, visceral adiposity index (VAI), dysfunctional adiposity index (DAI), A body shape index (ABSI), lipid accumulation product (LAP), body roundness index (BRI), glucose, lipid biomarkers, and blood pressure (BP) levels were compared. A ROC analysis was performed. Results: MetS frequency was determined to be 40.2 % (n = 92). All biochemical parameters except high-density lipoprotein-cholesterol and BP levels, all anthropometric measurements, and all index values except ABSI of the MetS group were higher than in the control group (p < 0.001). DAI had the highest discriminatory ability for MetS (AUC = 0.921). While the discriminatory ability of LAP was slightly lower (AUC = 0.915), ABSI had the lowest ability for MetS (AUC = 0.606). Conclusion: according to the study findings, MetS was found in almost half of individuals, and the LAP index and DAI can be used as predictive tools for early detection of MetS.