Leptin as a predictor of anthropometric cutoff points for obesity

التفاصيل البيبلوغرافية
العنوان: Leptin as a predictor of anthropometric cutoff points for obesity
المؤلفون: Mozaffer Rahim, Hingorjo, Sitwat, Zehra, Shazia, Nadeem, Masood Anwar, Qureshi
المصدر: Pakistan journal of pharmaceutical sciences. 32(2)
سنة النشر: 2019
مصطلحات موضوعية: Adult, Leptin, Male, Middle Aged, Sensitivity and Specificity, Body Mass Index, Diabetes Mellitus, Type 2, ROC Curve, Case-Control Studies, Humans, Female, Obesity, Waist Circumference, Biomarkers, Aged
الوصف: This study was conducted to find the association between leptin and adiposity indices. Secondly, to identify optimal threshold of various anthropometric indices for obesity, as assessed by 75th percentile of leptin levels, within a clinic sample of non-diabetic and diabetic Pakistani adults. Fasting serum leptin levels were compared with anthropometric markers of obesity in 164 diabetic and non-diabetic subjects (90 male, 74 female), aged 35 to 65 years. Obesity was defined by body mass index (BMI) of 25 kg/m2 in either sex. The cutoff point of leptin was taken as the 75th percentile in non-obese subjects. Diagnostic accuracy for detecting excess fatness was evaluated through receiver operating characteristics (ROC) analyses with leptin taken as reference test against anthropometric indices as test variables. The 75th percentile of leptin in male and female was 7.0ng/mL and 17.9ng/mL, respectively. Leptin levels were significantly higher in females (p0.001) and had strong positive correlation (p0.001) with most anthropometric indices of obesity in both sexes; hip circumference (HC) being most prominent among these. Largest area under ROC curve (AUC) was between WC and leptin (AUC=0.844; CI=0.764, 0.925) in males and BMI and leptin (AUC=0.832; CI=0.740, 0.923) in females. The optimum thresholds for obesity indices in our study were: BMI, WC and HC as 25 kg/m2, 96.25cm, 99.25cm for males; 27 kg/m
تدمد: 1011-601X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::5b6f7b5cc4ecc423515a72a8a0b002cb
https://pubmed.ncbi.nlm.nih.gov/31081756
رقم الانضمام: edsair.pmid..........5b6f7b5cc4ecc423515a72a8a0b002cb
قاعدة البيانات: OpenAIRE