Waist circumference and waist for height percentiles in urban South Indian children aged 3–16 years

Kuriyan, Rebecca; Thomas, Tinku; Lokesh, Deepa P.; Sheth, Nishita R.; Mahendra, Anvesha; Joy, Renju; Selvam, Sumithra; Bhat, Somashekara; Kurpad, Anura V

doi:10.1007/s13312-011-0126-6

Cited by 79 publications

(77 citation statements)

References 16 publications

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“…In clinical and epidemiological practice, the cutoff point of 0.50 has been frequently used to identify children with high WHtR. 4,9,12,14 However, our results and the percentile values observed in other countries (Fig. 3) indicate that this cutoff may not be appropriated to identify abdominal obesity among children, especially in early ages.…”

Section: Discussioncontrasting

confidence: 63%

“…10,12,14,19 Boys from colombo had lower percentile values than those noted in most studies. 12,14,19 Among girls, percentile values for WHtR were intermediate: lower than the percentile values obtained in some countries 12,14 and higher than other ones. 10,19 In general, children from colombo had a healthier WHtR pattern in comparison to children from other countries.…”

Section: Discussioncontrasting

confidence: 54%

“…24 Third, all studies were selected because they used the same physical growth indicator, they used the same anatomical point, and they adopted the same statistician procedure (LMS method) for the construction of percentile values. [10][11][12][13][14][15][16][17][18][19][20] These similarities were important to able the inter-study comparison. Finally, this study selected children from different regions (urban and rural) and school systems (public and private) from colombo.…”

Section: Discussionmentioning

confidence: 99%

“…[10][11][12][13][14][15][16][17][18][19][20] These curves apply the LMS method, a statistical procedure for more robust estimation of percentiles values, especially if the physical growth variables do not have a symmetrical distribution in the population. 21,22 Some studies also used the LMS method to compare body mass and height percentiles from Brazilian children with those of other countries.…”

Section: Introductionmentioning

confidence: 99%

“…17 Wc percentile values were compared with data from germany, 18 Pakistan, 14 Mexico, 11 Hong Kong 19 and India. 12 Finally, WHtR percentile values were compared with those from India, 12 Hong Kong, 19 Pakistan 14 and norway. 10 These studies were chosen considering: (1) children with similar age range of this study; (2) same statistical procedures for construction of the percentile curves (LMS method); (3) presence of 10 th , 50 th , and 90 th percentile values; and (4) same protocols for anthropometric measurements.…”

Section: Introductionmentioning

confidence: 99%

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Anthropometric indices among schoolchildren from a municipality in Southern Brazil: a descriptive analysis using the LMS method

Filho

Lopes

Fagundes

et al. 2014

Rev. paul. pediatr.

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Objective: To describe the percentile values for body mass index (BMI), waist circumference (Wc) and waist-to-height (WHtR) of children from colombo, Brazil, and compare them with data of children from other countries. Methods: This was a cross-sectional study with a random sample of 2,035 children aged 6-11 years. Age-and sex-specific smoothed percentiles curves for BMI, Wc and WHtR were created using the LMS method. Values of 10 th , 50 th and 90 th percentiles from Brazilian children were compared with data from other countries. Results: There was a trend of increasing BMI and Wc with age in both sexes. WHtR remained constant with advancing age in boys and girls. comparison of the growth pattern among countries showed clear differences. Southern Brazil boys and girls had elevated 90 th percentile values for BMI, which was similar to german children and higher than the north American and World Health Organization percentile values. However, children from this study had intermediate values for Wc and WHtR in comparison to children from other countries. Conclusions: Elevated BMI values were observed among southern Brazilian children, but Wc and WHtR percentile values were lower in southern Brazilian children than in children from other countries. Interventions at different levels should be made to avoid a probable increase of nutritional disorders (especially general obesity) in the next years.

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Section: Discussioncontrasting

confidence: 63%

Section: Discussioncontrasting

confidence: 54%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Anthropometric indices among schoolchildren from a municipality in Southern Brazil: a descriptive analysis using the LMS method

Filho

Lopes

Fagundes

et al. 2014

Rev. paul. pediatr.

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Body fat distribution of children and adolescents in Abeokuta, Southwest Nigeria

Senbanjo

Oshikoya

Olutekunbi

et al. 2013

American J Phys Anthropol

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Excessive central fat in children and adolescents is a risk factor for cardiovascular and metabolic disorders. This study aimed to compare the body fat distribution patterns of children and adolescents in Abeokuta, Nigeria with international reference standards. Five hundred seventy children aged 5 to 19 years were selected from seven schools using multistage random sampling. Weight, height, triceps and subscapular skinfold thickness (TSF, SSF), and circumference at the waist and hips (WC, HC) were measured. Body mass index (BMI), subscapular:triceps skinfold ratio (STR), waist:hip circumference ratio (WHR), and waist: height ratio (WHtR) were derived. Females had higher mean BMI, TSF, SSF, WC, HC, WHR, and WHtR, while males had significantly higher STR. The mean BMI, WC, TSF, and SSF values were lower for our subjects than for African-American subjects at all ages. On the other hand, in both sexes, STR was higher among Nigerian than African-American subjects up to 12 years old. Thereafter the values were similar. The mean WC was similar to those reported for African-American males up to 8 years, and females up to 7 years of age; thereafter, African-American had higher values. The prevalence of central obesity using WC and WHtR measures was 4.4% and 5.8%, respectively. There is a need to validate each index against serum lipid profiles and other cardiovascular and metabolic risk factors.

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Body Composition Percentiles in Urban South Indian Children and Adolescents

Kuriyan

Selvan

Thomas

et al. 2018

Obesity

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Objective This study aimed to generate age‐ and sex‐specific percentiles for body composition indices in children and to assess the variability in these indices, in relation to BMI. Methods Anthropometry and body fat were measured with the BOD POD (Cosmed; Rome, Italy) in 9,702 children from Bangalore, India. Smoothed percentile curves using the lambda‐mu‐sigma method were obtained for BMI, fat‐free mass index (FFMI), fat mass index (FMI), and body fat percentage (% BF). Results Percentile curves for % BF and FMI in boys increased from 6 to 12 years and declined from 13 years on, while in girls, it increased until 15 years. The FFMI percentile curves increased with age in both sexes. The mean FMI declined from 12 years on in boys, corresponding to a large increase in FFMI from that age, while in girls, both FMI and FFMI continued to increase. The 75th percentile of % BF and FMI had greater sensitivity to identify children with obesity. Conclusions This study developed smoothed percentile curves for body composition in Indian children and suggests FMI and FFMI as good indicators of growth in children.

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Waist circumference and waist for height percentiles in urban South Indian children aged 3–16 years

Cited by 79 publications

References 16 publications

Anthropometric indices among schoolchildren from a municipality in Southern Brazil: a descriptive analysis using the LMS method

Anthropometric indices among schoolchildren from a municipality in Southern Brazil: a descriptive analysis using the LMS method

Body fat distribution of children and adolescents in Abeokuta, Southwest Nigeria

Body Composition Percentiles in Urban South Indian Children and Adolescents

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