Predicting metabolic syndrome by visceral adiposity index, body roundness index, dysfunctional adiposity index, lipid accumulation product index, and body shape index in adults

Göçer D. B., BAŞ M., Biçer N., Hajhamidiasl L.

NUTRICION HOSPITALARIA, cilt.39, sa.4, ss.794-802, 2022 (SCI-Expanded) identifier identifier identifier

  • 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.