{"title":"Adolescent obesity and insulin resistance: The role of anthropometric indicators in metabolic health","authors":"Prasenjit Chaudhuri, Debanjana Sen, Jhuma Saha, Suparna Parua, Koushik Bhattacharya, Alak Kumar Syamal","doi":"10.1111/cpf.70028","DOIUrl":null,"url":null,"abstract":"<p>The present study investigates the relationship between obesity and metabolic, hormonal, and clinical indicators in adolescent girls. A total of 75 girls aged 15–19 years (mean age: 17.53 ± 1.29 years) were enrolled, including 58 with excess weight or obesity and 17 with normal weight. Anthropometric parameters related to obesity, various clinical scores, fasting glucose, fasting insulin, insulin resistance indices, lipid profile, blood pressure, and thyroid-stimulating hormone (TSH) were assessed. Mann-Whitney U test compared differences between the groups, while Spearman's rho correlation analysed the associations among adiposity, metabolic, and clinical parameters. Simple linear regression predicted insulin resistance indices using BMI, WHR, and WHtR. Receiver operating characteristic (ROC) analysis evaluated the predictive ability of BMI, WHR, and WHtR for insulin resistance. Girls with obesity exhibited significantly higher weight, BMI, WC, WHR, and WHtR (<i>p</i> < 0.05). Acanthosis scores and insulin resistance indices strongly correlated with BMI, WHR, and WHtR, while lipid profile parameters showed no significant association with adiposity. Regression analysis identified BMI and WHtR as strong predictors of HOMA-IR, while WHR and WHtR inversely correlated with QUICKI and GIR. The McAuley Index moderately correlated with BMI and WHtR. ROC analysis confirmed BMI (AUC = 0.779, <i>p</i> = 0.000) and WHtR (AUC = 0.776, <i>p</i> = 0.000) as strong predictors of insulin resistance. Concluding that, obesity in adolescent girls is strongly linked to insulin resistance but not lipid profile parameters. BMI and WHtR emerge as reliable predictors, with acanthosis as a potential clinical marker.</p>","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":"45 5","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Physiology and Functional Imaging","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cpf.70028","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The present study investigates the relationship between obesity and metabolic, hormonal, and clinical indicators in adolescent girls. A total of 75 girls aged 15–19 years (mean age: 17.53 ± 1.29 years) were enrolled, including 58 with excess weight or obesity and 17 with normal weight. Anthropometric parameters related to obesity, various clinical scores, fasting glucose, fasting insulin, insulin resistance indices, lipid profile, blood pressure, and thyroid-stimulating hormone (TSH) were assessed. Mann-Whitney U test compared differences between the groups, while Spearman's rho correlation analysed the associations among adiposity, metabolic, and clinical parameters. Simple linear regression predicted insulin resistance indices using BMI, WHR, and WHtR. Receiver operating characteristic (ROC) analysis evaluated the predictive ability of BMI, WHR, and WHtR for insulin resistance. Girls with obesity exhibited significantly higher weight, BMI, WC, WHR, and WHtR (p < 0.05). Acanthosis scores and insulin resistance indices strongly correlated with BMI, WHR, and WHtR, while lipid profile parameters showed no significant association with adiposity. Regression analysis identified BMI and WHtR as strong predictors of HOMA-IR, while WHR and WHtR inversely correlated with QUICKI and GIR. The McAuley Index moderately correlated with BMI and WHtR. ROC analysis confirmed BMI (AUC = 0.779, p = 0.000) and WHtR (AUC = 0.776, p = 0.000) as strong predictors of insulin resistance. Concluding that, obesity in adolescent girls is strongly linked to insulin resistance but not lipid profile parameters. BMI and WHtR emerge as reliable predictors, with acanthosis as a potential clinical marker.
期刊介绍:
Clinical Physiology and Functional Imaging publishes reports on clinical and experimental research pertinent to human physiology in health and disease. The scope of the Journal is very broad, covering all aspects of the regulatory system in the cardiovascular, renal and pulmonary systems with special emphasis on methodological aspects. The focus for the journal is, however, work that has potential clinical relevance. The Journal also features review articles on recent front-line research within these fields of interest.
Covered by the major abstracting services including Current Contents and Science Citation Index, Clinical Physiology and Functional Imaging plays an important role in providing effective and productive communication among clinical physiologists world-wide.