Solomon Ritchie S, Solomon Adlyne R
Department of Pediatric Cardiology, Institute of Child Health and Hospital for Children, Egmore, Chennai, Tamil Nadu, India.
Department of Endocrinology, Sri Ramachandra Medical College and Research Institute, Mount Poonamallee Road, Chennai, Tamil Nadu, India.
J Family Med Prim Care. 2024 Aug;13(8):2952-2957. doi: 10.4103/jfmpc.jfmpc_1656_23. Epub 2024 Jul 26.
Waist-based indicators of obesity are being used to detect central obesity and are predictive for metabolic syndrome (MS). The aim of the study is to assess the basic anthropometric indices in children, to determine the prevalence of overweight and obesity, and to determine the association between various waist-based measurements and body mass index (BMI).
A cross-sectional study was conducted among children aged 10 to 15 years attending government corporation schools in Chennai. Basic anthropometric measurements were taken. BMI, waist circumference/height ratio (WHtR), and waist circumference/hip circumference ratio (WHR) were calculated. The percentiles (Indian reference cutoffs) were determined for waist circumference (WC) and BMI. The prevalence of overweight and obesity was determined and compared to waist-based parameters.
Of 820 children, males constituted 47.1%. Stunting was seen in 9.8% and 7.8% were underweight. 8.2% had BMI less than the 3 percentile. The prevalence of overweight and obese children was 9% and 3.2%, respectively, with female predominance. The majority had WC less than the 5 percentile. The prevalence of children under risk for MS based on WC >70 percentile was 4.5% and based on WHtR >0.5 was 8.2%. A significant association was identified between all waist-based anthropometric measurements to detect children at risk for MS and overweight/obese children as per BMI category. WHtR >0.5 was an indicator of overweight/obese children in logistic regression analysis.
Early identification of children at risk of MS would require a combination of BMI to detect general obesity and waist-based anthropometric measurements to identify central obesity.
基于腰围的肥胖指标正被用于检测中心性肥胖，并可预测代谢综合征（MS）。本研究的目的是评估儿童的基本人体测量指标，确定超重和肥胖的患病率，并确定各种基于腰围的测量值与体重指数（BMI）之间的关联。
对钦奈政府公司学校中10至15岁的儿童进行了一项横断面研究。进行了基本的人体测量。计算了BMI、腰围/身高比（WHtR）和腰围/臀围比（WHR）。确定了腰围（WC）和BMI的百分位数（印度参考临界值）。确定了超重和肥胖的患病率，并与基于腰围的参数进行了比较。
在820名儿童中，男性占47.1%。9.8%的儿童发育迟缓，7.8%的儿童体重过轻。8.2%的儿童BMI低于第3百分位数。超重和肥胖儿童的患病率分别为9%和3.2%，女性居多。大多数儿童的WC低于第5百分位数。基于WC>第70百分位数的MS风险儿童患病率为4.5%，基于WHtR>0.5的患病率为8.2%。根据BMI类别，在所有基于腰围的人体测量与检测MS风险儿童和超重/肥胖儿童之间发现了显著关联。在逻辑回归分析中，WHtR>0.5是超重/肥胖儿童的一个指标。
早期识别MS风险儿童需要结合BMI来检测一般肥胖，以及结合基于腰围的人体测量来识别中心性肥胖。
