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Utility of anthropometry in defining overweight and obesity in urban South Indian children.
Solomon, Ritchie S; Solomon, Adlyne R.
Affiliation
  • Solomon RS; Department of Pediatric Cardiology, Institute of Child Health and Hospital for Children, Egmore, Chennai, Tamil Nadu, India.
  • Solomon AR; Department of Endocrinology, Sri Ramachandra Medical College and Research Institute, Mount Poonamallee Road, Chennai, Tamil Nadu, India.
J Family Med Prim Care ; 13(8): 2952-2957, 2024 Aug.
Article in En | MEDLINE | ID: mdl-39228557
ABSTRACT

Introduction:

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).

Methodology:

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.

Results:

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 3rd percentile. The prevalence of overweight and obese children was 9% and 3.2%, respectively, with female predominance. The majority had WC less than the 5th percentile. The prevalence of children under risk for MS based on WC >70th 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.

Conclusion:

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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Family Med Prim Care Year: 2024 Document type: Article Affiliation country: India Country of publication: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Family Med Prim Care Year: 2024 Document type: Article Affiliation country: India Country of publication: India