Adolescent obesity and insulin resistance: The role of anthropometric indicators in metabolic health

IF 1.7 4区 医学 Q4 PHYSIOLOGY
Prasenjit Chaudhuri, Debanjana Sen, Jhuma Saha, Suparna Parua, Koushik Bhattacharya, Alak Kumar Syamal
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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.

青少年肥胖和胰岛素抵抗:人体测量指标在代谢健康中的作用
本研究旨在探讨青春期少女肥胖与代谢、激素及临床指标的关系。共纳入75名15-19岁的女孩(平均年龄:17.53±1.29岁),其中超重或肥胖58名,体重正常17名。评估与肥胖相关的人体测量参数、各种临床评分、空腹血糖、空腹胰岛素、胰岛素抵抗指数、血脂、血压和促甲状腺激素(TSH)。Mann-Whitney U检验比较了两组之间的差异,而Spearman的rho相关性分析了肥胖、代谢和临床参数之间的关系。简单线性回归用BMI、WHR和WHtR预测胰岛素抵抗指数。受试者工作特征(ROC)分析评估BMI、WHR和WHtR对胰岛素抵抗的预测能力。肥胖女生的体重、BMI、腰围、腰宽比和腰宽比均显著高于肥胖女生(p < 0.05)。棘层评分和胰岛素抵抗指数与BMI、WHR和WHtR密切相关,而脂质参数与肥胖无显著相关性。回归分析发现BMI和WHtR是HOMA-IR的强预测因子,而WHR和WHtR与QUICKI和GIR呈负相关。McAuley指数与BMI和WHtR呈正相关。ROC分析证实BMI (AUC = 0.779, p = 0.000)和WHtR (AUC = 0.776, p = 0.000)是胰岛素抵抗的有力预测因子。综上所述,青春期女孩的肥胖与胰岛素抵抗密切相关,而与血脂参数无关。BMI和WHtR是可靠的预测指标,棘层增生是潜在的临床标志。
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来源期刊
CiteScore
3.40
自引率
5.60%
发文量
62
审稿时长
6-12 weeks
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.
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