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Waist circumference, waist-hip ratio and waist-height ratio percentiles and central obesity among Pakistani children aged five to twelve years

BMC Pediatrics volume 11, Article number: 105 (2011) Cite this article

Abstract

Background

Central obesity has been associated with the risk of cardiovascular and metabolic disease in children and anthropometric indices predictive of central obesity include waist circumference (WC), waist-hip ratio (WHR) and waist-height ratio (WHtR). South Asian children have higher body fat distribution in the trunk region but the literature regarding WC and related indices is scarce in this region. The study was aimed to provide age- and gender-specific WC, WHR and WHtR smoothed percentiles, and to explore prevalence and correlates of central obesity, among Pakistani children aged five to twelve years.

Methods

A population-based cross-sectional study was conducted with a representative multistage random cluster sample of 1860 primary school children aged five to twelve years in Lahore, Pakistan. Smoothed percentile curves were constructed for WC, WHR and WHtR by the LMS method. Central obesity was defined as having both age- and gender-specific WC percentile ≥90th and WHtR ≥0.5. Chi-square test was used as the test of trend. Multivariate logistic regression was used to quantify the independent predictors of central obesity and adjusted odds ratios (aOR) with 95% CI were obtained. Linear regression was used to explore the independent determinants of WC and WHtR. Statistical significance was considered at P < 0.05.

Results

First ever age- and gender-specific smoothed WC, WHR and WHtR reference curves for Pakistani children aged five to twelve years are presented. WC increased with age among both boys and girls. Fiftieth WC percentile curves for Pakistani children were higher as compared to those for Hong Kong and British children, and were lower as compared to those for Iranian, German and Swiss children. WHR showed a plateau pattern among boys while plateau among girls until nine years of age and decreased afterwards. WHtR was age-independent among both boys and girls, and WHtR cut-off of ≥0.5 for defining central obesity corresponded to 85th WHtR percentile irrespective of age and gender. Twelve percent children (95% CI 10.1-13.0) had a WC ≥90th percentile and 16.5% children (95% CI 14.7-18.1) had a WHtR ≥0.5 while 11% children (95% CI 8.9-11.6) had both WC ≥90th percentile and WHtR ≥0.5. Significant predictors of central obesity included higher grade, urban area with high socioeconomic status (SES), high-income neighborhood and higher parental education. Children studying in higher grade (aOR 5.11, 95% CI 1.76-14.85) and those living in urban area with high SES (aOR 82.34, 95% CI 15.76-430.31) showed a significant independent association. Urban area with high SES and higher parental education showed a significant independent association with higher WC and higher WHtR while higher grade showed a significant independent association with higher WC.

Conclusions

Comprehensive worldwide reference values are needed to define central obesity and the present study is the first one to report anthropometric indices predictive of central obesity for Pakistani school-aged children. Eleven percent children were centrally obese and strong predictors included higher grade, urban area with high SES and higher parental education. These findings support the need for developing a National strategy for childhood obesity and implementing targeted interventions, prioritizing the higher social class and involving communities.

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Background

Obesity is a global epidemic and children are the worst affected with an estimated ten percent of school-aged children being overweight and one quarter of these being obese worldwide [1]. Childhood obesity epidemic is now penetrating the developing countries including Pakistan, especially in the affluent urban population [2, 3]. Central obesity has been associated with the risk of cardiovascular and metabolic disease in children and anthropometric indices predictive of childhood central obesity include waist circumference (WC), waist-hip ratio (WHR) and waist-height ratio (WHtR) [4–8]. However, measurement of WC is not yet a common practice in children. Most of the studies reporting percentiles for WC and related indices in school-aged children were conducted in the developed countries including United States, Australia and European region [9–19]. In Asia, WC percentiles have been reported for Middle-eastern and Southeast Asian children [20–24]. South Asian children have higher body fat distribution in the trunk region [25–29]; however, the data on WC and related indices is scarce in this region. Comprehensive worldwide reference values for WC and related indices are needed to establish an internationally accepted age-, gender-, and ethnicity-specific definition of central obesity in children. The study was aimed to provide first ever age- and gender-specific WC, WHR and WHtR smoothed percentiles, and to explore prevalence and correlates of central obesity, among Pakistani children aged five to twelve years.

Methods

Design, setting and sample

A population-based cross-sectional study, the Nutritional Assessment among School-going Children in Lahore, Pakistan (NASCL study), was conducted among primary school children aged five to twelve years in 2009-10. Lahore is the capital of Pakistan's most populous province Punjab and a metropolis with multiethnic populations. It has a population of nine million, including 2.5 million primary school children, and 81% of the population resides in urban area (Administrative data, Government of Punjab, 2010).

A stratified multistage random cluster sample of 1860 children aged five to twelve years in twelve primary schools of City District Lahore was enrolled. Stratified sampling, based on the population and educational system characteristics, was used to have proportionate representation of gender, area of residence and socioeconomic status (SES). About 1200 public and 1100 private primary schools in Lahore registered with the Punjab Department of Education were listed. The listed schools were stratified according to the geographic area and monthly fee structure of schools into following four strata: a) urban with high SES (urban area and fee > 2500 PKR), b) urban with middle SES (urban area and fee = 1000-2500 PKR), c) urban with low SES (urban area and fee < 1000 PKR), and d) rural with low/disadvantaged SES (rural area and fee ~100 PKR or free). The former two strata included private (including public-private mix) schools and the later two strata included public schools. In Pakistan, public schools cater low SES urban and rural children while high and middle SES urban children are educated in private and public-private mix schools. Three schools were selected at random from each stratum and contacted by the Departments of Education and Health to participate voluntarily in the study. If school administration refused to participate, next school was selected randomly from the respective stratum. For each school, a list of all classes in five grades (one to five) was obtained and one class in each grade was selected at random. In this way, sixty classes, five from each school, were selected. For each of the selected classes, first thirty-one children on class attendance register, present on data collection day and aged five to twelve years, were included in the study. Children suffering from any known metabolic syndrome (like Prader-Willi syndrome) and those not willing to participate in the study were excluded. Sample size was calculated using Epi Info 6.04d (United States' Centers for Disease Control and Prevention, 2004) with a confidence (1-α) of 95%, anticipated prevalence of 5% and margin of error of ± 1. The minimum sample size calculated was 1823 and a sample of 1860 was deemed sufficient.

Data Collection

The sampled schools were visited on pre-arranged dates in summer 2009 by a team of trained senior medical students lead by the Principal Investigator. Health education of children and teachers was also carried out after data collection in the respective school. Height was measured by portable stadiometers that were standardized and calibrated before the measurements. Feet were placed together with heels, buttocks and shoulder blades against the stick and head was positioned in the Frankfurt horizontal plane. WC and hip circumference (HC) were measured according to the World Health Organization (WHO) recommendations [30, 31]. The subject was asked to stand relaxed with arms at the sides, feet positioned close together and weight evenly distributed across feet. WC was measured midway between the lowest rib and the superior border of iliac crest at the end of normal expiration with a stretch-resistant measuring tape positioned at a level parallel to the floor. HC was measured at the level of widest portion of buttocks (trochanters). All measurements were in centimeters (cm) to the nearest 0.1 cm. All children were measured in mornings or early afternoons without shoes and in light summer school-uniform.

Demographic information of all officially enrolled students in the sampled classes was obtained before data collection that included gender, date of birth, residential address and parental education. If demographic information of students was not found on official rosters, it was obtained from the classroom teachers. Parental education level was based on the parent with the highest total years of schooling and neighborhood income level was based on the approximate income estimate of child's residential area obtained from the Revenue Department of City District Government Lahore. Quality control measures and good practices including training, pre-testing the processes and materials, field monitoring of data collection, logistics management and daily meetings of the study teams were ensured. Informed consent statement was printed on the study form. Verbal informed consent for the child to participate in the study was taken from class teachers and school heads. As the study involved no invasive procedure, verbal informed consent was deemed sufficient. The study was approved by the Ethical Review Board of Allama Iqbal Medical College, Lahore. Permissions to conduct the survey were granted by the Punjab Departments of Education and Health, and the sampled schools.

Statistical Analysis

Data were entered and analyzed by manual and computerized checking using SPSS version 18.0 (SPSS Inc. Chicago IL, United States, 2009). Age was calculated to the precise day by subtracting the date of birth from the date of examination. Smoothed age- and gender-specific percentile curves were constructed for WC, WHR and WHtR by the LMS method [32]. Fiftieth percentile curves for WC were compared with the previous studies in Hong Kong, United Kingdom, Iran, Germany, Switzerland and China that measured WC at the same site. Cut-off of ≥90th age- and gender-specific percentile for WC [15, 17, 18, 24, 33, 34] and ≥0.5 for WHtR [15, 35–37] had been suggested for defining central obesity. Central obesity was defined as having both age- and gender-specific WC percentile ≥90th and WHtR ≥0.5. Bivariate analysis, using chi-square test as the test of trend, was conducted to compare the prevalence of central obesity among the study variables. Multivariate logistic regression was used to quantify the independent predictors of central obesity and adjusted odds ratios (aOR) with 95% confidence interval (CI) were obtained. Linear regression was used to explore the predictive power of all socio-demographic factors significantly associated with central obesity (as independent variables) in relation to WC and WHtR (as dependent variables). Statistical significance was considered at P < 0.05 and all tests were two-sided.

Results

The study included a sample of 1860 primary school children aged five to twelve years. The male-female ratio was 1.11 with 52.5% boys and 47.5% girls. The sample involved 20% children from each grade and 25% children from each area and SES stratum. Seventy-five percent children were urban and 25% were rural. The median age (range) was 101.2 (60-154) months. The mean and standard deviation (SD) for WC, HC, height, WHR and WHtR were 58.4 (7.9) cm, 67.2 (11.4) cm, 128.4 (11.4) cm, 0.88 (0.17) and 0.46 (0.05) respectively. Age- and gender-specific mean (SD) WC, WHR and WHtR are presented in Table 1.

Table 1 Mean and standard deviation (SD) for waist circumference (WC), waist-hip ratio (WHR) and waist-height ratio (WHtR) of Pakistani primary school children aged five to twelve years (n = 1860)
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Age- and gender-specific WC percentiles [Table 2] [Figure 1], age- and gender-specific WHR percentiles [Table 3] [Figure 2], and age- and gender-specific WHtR percentiles [Table 4] [Figure 3 ] were developed and smoothed by the LMS method. WC increased with age among both boys and girls. Fiftieth WC percentile curves for Pakistani children were higher as compared to those for Hong Kong and British children, and were lower as compared to those for Iranian, German and Swiss children [Figure 4]. Fiftieth percentile curves for Chinese children were lower than the study sample in younger age groups and were higher in older children. WHR showed a plateau pattern among boys while plateau among girls until nine years of age and decreased afterwards. WHtR was age-independent among both boys and girls with a mean difference of 0.02. WHtR cut-off of ≥0.5 for defining central obesity corresponded to 85th WHtR percentile irrespective of age and gender with a mean difference of < 0.01 [Table 5].

Table 2 Age- and gender-specific smoothed waist circumference (WC) percentiles for Pakistani primary school children aged five to twelve years (n = 1860)
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Figure 1
figure 1

Smoothed waist circumference (WC) percentile curves for Pakistani primary school boys (n = 997) and girls (n = 883) aged five to twelve years.

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Table 3 Age- and gender-specific smoothed waist-hip ratio (WHR) percentiles for Pakistani primary school children aged five to twelve years (n = 1860)
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Figure 2
figure 2

Smoothed waist-hip ratio (WHR) percentile curves for Pakistani primary school boys (n = 997) and girls (n = 883) aged five to twelve years.

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Table 4 Age- and gender-specific smoothed waist-height ratio (WHtR) percentiles for Pakistani primary school children aged five to twelve years (n = 1860)
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Figure 3
figure 3

Smoothed waist-height ratio (WHtR) percentile curves for Pakistani primary school boys (n = 997) and girls (n = 883) aged five to twelve years.

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Figure 4
figure 4

Comparison of fiftieth waist circumference (WC) percentile curves for Pakistani primary school boys (a) and girls (b) aged five to twelve years with previous studies that measured WC at the same site. WC was measured midway between the lowest rib and the superior border of iliac crest, in accordance with the WHO recommendations.

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Table 5 Age- and gender-specific eighty-fifth percentile values for waist-height ratio (WHtR) corresponding to cut-off value of 0.5 for defining central obesity among Pakistani primary school children aged five to twelve years (n = 1860)
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Twelve percent children (95% CI 10.1-13.0) had a WC ≥90th percentile and 16.5% children (95% CI 14.7-18.1) had a WHtR ≥0.5 while 11% children (95% CI 8.9-11.6) had both WC ≥90th percentile and WHtR ≥0.5. Prevalence of central obesity significantly increased with grade among both boys and girls [Table 6]. Higher grade, urban area with high SES, high-income neighborhood and higher parental education were significantly associated with central obesity (all P < 0.001) [Table 7]. Multivariate logistic regression analysis was adjusted simultaneously for socio-demographic factors significantly associated with central obesity and controlled for age and gender. Significant independent predictors of central obesity included higher grade (aOR 5.11, 95% CI 1.76-14.85) and urban area with high SES (aOR 82.34, 95% CI 15.76-430.31) [Table 8]. Linear regression analyses were adjusted for socio-demographic factors significantly associated with central obesity and controlled for age and gender. Higher grade, urban area with high SES and higher parental education showed a significant independent association with higher WC [Table 9]. Urban area with high SES and higher parental education showed a significant independent association with higher WHtR [Table 10].

Table 6 Grade- and Gender-specific prevalence of central obesity among Pakistani primary school children aged five to twelve years (n = 1860)
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Table 7 Socio-demographic correlates of central obesity among Pakistani primary school children aged five to twelve years (n = 1860)
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Table 8 Logistic regression analysis of socio-demographic factors associated with central obesity among Pakistani primary school children aged five to twelve years (n = 1860)a, b
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Table 9 Linear regression analysis of socio-demographic factors with waist circumference (WC) among Pakistani primary school children aged five to twelve years (n = 1860)a, b
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Table 10 Linear regression analysis of socio-demographic factors with waist-height ratio (WHtR) among Pakistani primary school children aged five to twelve years (n = 1860)a, b
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Discussion

First ever age- and gender-specific smoothed percentiles for WC, WHR and WHtR developed from a representative sample of 1860 Pakistani primary school children aged five to twelve years are presented. These charts are based on WC measured midway between the lowest rib and the superior border of iliac crest, in accordance with the WHO recommendations [31].

WC increased with age among both boys and girls, consistent with previous literature [9–24]. There was no gender disparity in WC values, in line with previous findings in children aged five to twelve years [11]. Fiftieth WC percentile curves for Pakistani children were higher as compared to those for Hong Kong and British children, and were lower as compared to those for Iranian, German and Swiss children. WC remains the simplest clinical measure of childhood central obesity. It has been proved a strong predictor of cardiovascular and metabolic disease risk in children [38–47]. It provides a better estimate of visceral adipose tissue than body mass index (BMI) and is significantly more efficient than BMI in predicting insulin resistance, blood pressure, and serum cholesterol and triglyceride levels [38–41]. WHR showed a plateau pattern among boys while remained stable among girls until nine years of age and decreased afterwards, consistent with previous studies [48]. WHR has been used to describe body fat distribution in adults; however, it is influenced by several other body factors and is a poor measure of body fat distribution and risk of related diseases in children [49, 50]. WHtR was age-independent among both boys and girls, and suggested WHtR cut-off of ≥0.5 for defining central obesity corresponded to 85th WHtR percentile irrespective of age and gender, in line with previous literature [15, 35–37]. Previous studies have strongly correlated WHtR to the risk of cardiovascular and metabolic disease in children, and it has been proposed as an alternative measure for assessing central fatness in children especially for pediatric primary care practice and epidemiological studies, as it is a relatively age-independent measure [8, 33, 51–56].

Eleven percent of children were centrally obese. Central obesity showed a significantly increasing trend with grade among both boys and girls and higher grade independently predicted the risk of being centrally obese and having higher WC. These findings are consistent with previous studies reporting higher obesity prevalence in older children [57–59]. Urban area with high SES, high-income neighborhood and higher parental education significantly correlated with central obesity. Living in urban area with high SES was a strong independent predictor of being at risk of central obesity. Urban area with high SES and higher parental education were independently associated with higher WC and higher WHtR. Increasing trend in childhood obesity with urbanization had been reported in both the developing and the developed countries [57, 60–62]. Association of childhood obesity with high SES and higher parental education had been observed in the developing countries [3, 63–68]. However, studies in the developed countries had shown inverse association of SES, neighborhood income level and parental education with obesity [61, 69–73]. Different socio-cultural circumstances in the developing countries undergoing nutrition transition explain the contradiction. Association between socioeconomic factors and over-nutrition vary in societies at different stages of nutrition transition. Obesity is positively associated with socioeconomic factors in Asia but not in Latin America [74]. Changes in lifestyle with urbanization including reduced physical activity, increased sedentary living and unhealthy diets, reinforced by many of the cultural changes associated with globalization, are the probable underlying causes [60, 75, 76]. Efforts to stop childhood obesity should be made on all fronts and targeted interventions, tailored to local circumstances and involving communities, should begin early in life [77].

Variability in the data ascertainment may have introduced an error into the estimates; however, we do not anticipate large or systematic differences. The effects of puberty on anthropometric indices were not explored in the present study; however, future studies are suggested in this regard. Cross-sectional nature of the study should be considered when interpreting the findings reported and future longitudinal studies are warranted to establish the temporal nature and causality of these associations. These findings can be generalized to South Asian primary school children that share the same genetic and environmental factors with the sample.

Conclusions

Comprehensive worldwide reference values are needed to establish an internationally accepted age-, gender-, and ethnicity-specific definition of central obesity. The present study is the first one to report anthropometric indices predictive of central obesity for Pakistani school-aged children. Eleven percent children were centrally obese and strong predictors included higher grade, urban area with high SES and higher parental education. These findings support the need for developing a National strategy for childhood obesity and implementing targeted interventions, prioritizing the higher social class and involving communities.

References

  1. Dietz WH, Robinson TN: Overweight children and adolescents. N Engl J Med. 2005, 352: 2100-09. 10.1056/NEJMcp043052.

    CAS  Article  PubMed  Google Scholar 

  2. Han JC, Lawlor DA, Kimm SYS: Childhood obesity. Lancet. 2010, 375: 1737-48. 10.1016/S0140-6736(10)60171-7.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Mushtaq MU, Gull S, Abdullah HM, Shahid U, Shad MA, Akram J: Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health. 2011, 11 (1): 724-10.1186/1471-2458-11-724.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Freedman DS, Dietz WH, Srinivasan SR, Berenson GS: The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatr. 1999, 103: 1175-82. 10.1542/peds.103.6.1175.

    CAS  Article  Google Scholar 

  5. Kahn HS, Valdez R: Metabolic risks identified by the combination of enlarged waist and elevated triacylglycerol concentration. Am J Clin Nutr. 2003, 78: 928-934.

    CAS  PubMed  Google Scholar 

  6. Katzmarzyk PT, Srinivasan SR, Chen W, Malina RM, Bouchard C, Berenson GS: Body mass index, waist circumference, and clustering of cardiovascular disease risk factors in a biracial sample of children and adolescents. Pediatrics. 2004, 114 (2): e198-205. 10.1542/peds.114.2.e198.

    Article  PubMed  Google Scholar 

  7. Gower BA, Nagy TR, Goran MI: Visceral fat, insulin sensitivity, and lipids in prepubertal children. Diabetes. 1999, 48: 1515-21. 10.2337/diabetes.48.8.1515.

    CAS  Article  PubMed  Google Scholar 

  8. Kelishadi R, Gheiratmand R, Ardalan G, et al: Association of anthropometric indices with cardiovascular disease risk factors among children and adolescents: CASPIAN Study. Int J Cardiol. 2007, 117: 340-48. 10.1016/j.ijcard.2006.06.012.

    Article  PubMed  Google Scholar 

  9. Fernandez JR, Redden DT, Pietrobelli A, Allison DB: Waist circumference percentiles in nationally representative samples of African-American, European-American, and Mexican-American children and adolescents. J Pediatr. 2004, 145: 439-44. 10.1016/j.jpeds.2004.06.044.

    Article  PubMed  Google Scholar 

  10. Eisenmann JC: Waist circumference percentiles for 7- to 15-year-old Australian children. Acta Paediatrica. 2005, 94: 1182-85. 10.1080/08035250510029352.

    Article  PubMed  Google Scholar 

  11. McCarthy HD, Jarrett KV, Crawley HF: The development of waist circumference percentiles in British children aged 5.0-16.9 y. Eur J Clin Nutr. 2001, 55: 902-07. 10.1038/sj.ejcn.1601240.

    CAS  Article  PubMed  Google Scholar 

  12. Moreno LA, Fleta J, Mur L, Rodriquez G, Sarria A, Bueno M: Waist circumference values in Spanish children-gender related differences. Eur J Clin Nutr. 1999, 53: 429-33. 10.1038/sj.ejcn.1600769.

    CAS  Article  PubMed  Google Scholar 

  13. Savva SC, Kourides Y, Tornaritis M, Epiphaniou-Savva M, Tafouna P, Kafatos A: Reference growth curves for cypriot children 6 to 17 years of age. Obes Res. 2001, 9: 754-62. 10.1038/oby.2001.104.

    CAS  Article  PubMed  Google Scholar 

  14. Fredriks AM, van Buuren S, Fekkes M, Verloove-Vanhorick SP, Wit JM: Are age references for waist circumference, hip circumference and waist-hip ratio in Dutch children useful in clinical practice?. Eur J Pediatr. 2005, 164: 216-22. 10.1007/s00431-004-1586-7.

    Article  PubMed  Google Scholar 

  15. Schwandt P, Kelishadi R, Haas GM: First reference curves of waist circumference for German children in comparison to international values: the PEP Family Heart Study. World J Pediatr. 2008, 4 (4): 259-66. 10.1007/s12519-008-0048-0.

    Article  PubMed  Google Scholar 

  16. Aeberli I, Gut-Knabenhans M, Kusche-Ammann RS, Molinari L, Zimmermann MB: Waist circumference and waist-to-height ratio percentiles in a nationally representative sample of 6-13 year old children in Switzerland. Swiss Med Wkly. 2011, 141: w13227-

    PubMed  Google Scholar 

  17. Brannsether B, Roelants M, Bjerknes R, Júlíusson P: Waist circumference and waist-to-height ratio in Norwegian children 4-18 years of age: Reference values and cut-off levels. Acta Paediatr. 2011.

    Google Scholar 

  18. Nawarycz LO, Krzyzaniak A, Stawińska-Witoszyńska B, et al: Percentile distributions of waist circumference for 7-19-year-old Polish children and adolescents. Obes Rev. 2010, 11 (4): 281-8. 10.1111/j.1467-789X.2009.00694.x.

    Article  PubMed  Google Scholar 

  19. Ortega FB, Ruiz JR, Vicente-Rodríguez G, Sjöström M: Central adiposity in 9- and 15-year-old Swedish children from the European Youth Heart Study. Int J Pediatr Obes. 2008, 3 (4): 212-6. 10.1080/17477160802068965.

    Article  PubMed  Google Scholar 

  20. Sung RYT, So H, Choi K, et al: Waist circumference and waist-to-height ratio of Hong Kong Chinese children. BMC Public Health. 2008, 8: 324-10.1186/1471-2458-8-324.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Kelishadi R, Gouya MM, Ardalan G, et al: First reference curves of waist and hip circumferences in an Asian population of youths: CASPIAN study. J Trop Pediatr. 2007, 53: 158-164. 10.1093/tropej/fml090.

    Article  PubMed  Google Scholar 

  22. Hatipoglu N, Ozturk A, Mazicioglu MM, Kurtoglu S, Seyhan S, Lokoglu F: Waist circumference percentiles for 7- to 17-year-old Turkish children and adolescents. Eur J Pediatr. 2008, 167 (4): 383-9. 10.1007/s00431-007-0502-3.

    Article  PubMed  Google Scholar 

  23. Jackson RT, Al Hamad N, Prakash P, Al Somaie M: Waist circumference percentiles for Kuwaiti children and adolescents. Public Health Nutr. 2011, 14 (1): 70-6. 10.1017/S1368980010002600.

    Article  PubMed  Google Scholar 

  24. Poh BK, Jannah AN, Chong LK, Ruzita AT, Ismail MN, McCarthy D: Waist circumference percentile curves for Malaysian children and adolescents aged 6.0-16.9 years. Int J Pediatr Obes. 2011, 6 (3-4): 229-35. 10.3109/17477166.2011.583658.

    Article  PubMed  Google Scholar 

  25. Novotny R, Daida YG, Grove JS, Le Marchand L, Vijayadeva V: Asian adolescents have a higher trunk:peripheral fat ratio than Whites. J Nutr. 2006, 136: 642-647.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. He Q, Horlick M, Thornton J, Wang J, Pierson RN, Heshka S, Gallagher D: Sex and race differences in fat distribution among Asian, African-American, and Caucasian prepubertal children. J Clin Endocrinol Metab. 2002, 87: 2164-2170. 10.1210/jc.87.5.2164.

    CAS  Article  PubMed  Google Scholar 

  27. Khadilkar VV, Khadilkar AV, Borade AB, Chiplonkar SA: Body Mass Index Cut-offs for Screening for Childhood Overweight and Obesity in Indian Children. Indian Pediatr. 2011.

    Google Scholar 

  28. Razak F, Anand SS, Shannon H, et al: Defining obesity cut points in a multiethnic population. Circulation. 2007, 115: 2111-2118. 10.1161/CIRCULATIONAHA.106.635011.

    Article  PubMed  Google Scholar 

  29. Bhargava SK, Sachdev HS, Fall CH, et al: Relation of serial changes in childhood body-mass index to impaired glucose tolerance in young adulthood. N Engl J Med. 2004, 350: 865-875. 10.1056/NEJMoa035698.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. World Health Organization (WHO): Waist circumference and waist-hip ratio: report of a WHO expert consultation. Geneva, 8-11 December 2008. 2011, Geneva, Switzerland: WHO

    Google Scholar 

  31. World Health Organization (WHO): WHO STEPwise approach to surveillance (STEPS). 2008, Geneva, Switzerland: WHO

    Google Scholar 

  32. Cole TJ, Green PJ: Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med. 1992, 11: 1305-19. 10.1002/sim.4780111005.

    CAS  Article  PubMed  Google Scholar 

  33. Flores-Huerta S, Klünder-Klünder M, Reyes de la Cruz L, Santos JI: Increase in body mass index and waist circumference is associated with high blood pressure in children and adolescents in Mexico city. Arch Med Res. 2009, 40 (3): 208-15. 10.1016/j.arcmed.2009.02.009.

    Article  PubMed  Google Scholar 

  34. Lee JM, Davis MM, Woolford SJ, Gurney JG: Waist circumference percentile thresholds for identifying adolescents with insulin resistance in clinical practice. Pediatr Diabetes. 2009, 10 (5): 336-42. 10.1111/j.1399-5448.2008.00474.x.

    Article  PubMed  Google Scholar 

  35. Nambiar S, Hughes I, Davies PS: Developing waist-to-height ratio cut-offs to define overweight and obesity in children and adolescents. Public Health Nutr. 2010, 13 (10): 1566-74. 10.1017/S1368980009993053.

    Article  PubMed  Google Scholar 

  36. Ashwell M, Lejeune S, McPherson K: Ratio of waist circumference to height may be better indicator of need for weight management. BMJ. 1996, 312: 377-

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  37. Ashwell M: Waist to height ratio and the AshwellR shape chart could predict the health risks of obesity in adults and children in all ethnic groups. Nutrition Food Science. 2005, 35: 359-64. 10.1108/00346650510625575.

    Article  Google Scholar 

  38. Savva SC, Tornaritis M, Savva ME, et al: Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes Relat Metab Disord. 2000, 24: 1453-58. 10.1038/sj.ijo.0801401.

    CAS  Article  PubMed  Google Scholar 

  39. Lee S, Bacha F, Gungor N, Arslanian SA: Waist circumference is an independent predictor of insulin resistance in black and white youths. J Pediatr. 2006, 148: 188-94. 10.1016/j.jpeds.2005.10.001.

    CAS  Article  PubMed  Google Scholar 

  40. Maffeis C, Pietrobelli A, Grezzani A, Provera S, Tato L: Waist circumference and cardiovascular risk factors in prepubertal children. Obes Res. 2001, 9: 179-87. 10.1038/oby.2001.19.

    CAS  Article  PubMed  Google Scholar 

  41. Janssen I, Katzmarzyk PT, Ross R: Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr. 2004, 79: 379-84.

    CAS  PubMed  Google Scholar 

  42. Moreno LA, Pineda I, Rodriguez G, Fleta J, Sarria A, Bueno M: Waist circumference for the screening of the metabolic syndrome in children. Acta Paediatrica. 2002, 91: 1307-12. 10.1111/j.1651-2227.2002.tb02825.x.

    CAS  Article  PubMed  Google Scholar 

  43. Esmaillzadeh A, Mirmiran P, Azizi F: Clustering of metabolic abnormalities in adolescents with the hypertriglyceridemic waist phenotype. Am J Clin Nutr. 2006, 83: 36-46.

    CAS  PubMed  Google Scholar 

  44. Hirschler V, Aranda C, Calcagno ML, Maccalini G, Jadzinsky M: Can waist circumference identify children with the metabolic syndrome?. Arch Pediatr Adolesc Med. 2005, 159: 740-44. 10.1001/archpedi.159.8.740.

    Article  PubMed  Google Scholar 

  45. Rodríguez-Rodríguez E, Palmeros-Exsome C, López-Sobaler AM, Ortega RM: Preliminary data on the association between waist circumference and insulin resistance in children without a previous diagnosis. Eur J Pediatr. 2011, 170 (1): 35-43. 10.1007/s00431-010-1260-1.

    Article  PubMed  Google Scholar 

  46. Sung RY, Yu CC, Choi KC, et al: Waist circumference and body mass index in Chinese children: cutoff values for predicting cardiovascular risk factors. Int J Obesity. 2007, 31: 550-58. 10.1038/sj.ijo.0803452.

    CAS  Article  Google Scholar 

  47. Hujová Z, Alberty R, Ahlers I, et al: Cardiovascular risk predictors in central Slovakian Roma children and adolescents: regional differences. Cent Eur J Public Health. 2010, 18 (3): 139-44.

    PubMed  Google Scholar 

  48. Haas GM, Liepold E, Schwandt P: Percentile curves for fat patterning in German adolescents. World J Pediatr. 2011, 7 (1): 16-23. 10.1007/s12519-011-0241-4.

    Article  PubMed  Google Scholar 

  49. Moreno LA, Fleta J, Mur L, Feja C, Sarria A, Bueno M: Indices of body fat distribution in Spanish children aged 4.0 to 14.9 years. Journal of Pediatric Gastroenterology & Nutrition. 1997, 25 (2): 175-81. 10.1097/00005176-199708000-00008.

    CAS  Article  Google Scholar 

  50. Liu A, Hills AP, Hu X, et al: Waist circumference cut-off values for the prediction of cardiovascular risk factors clustering in Chinese school-aged children: a cross-sectional study. BMC Public Health. 2010, 10: 82-10.1186/1471-2458-10-82.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Hara M, Saitou E, Iwata F, Okada T, Harada K: Waist-to-height ratio is the best predictor of cardiovascular disease risk factors in Japanese schoolchildren. J Atheroscler Thromb. 2002, 9: 127-32. 10.5551/jat.9.127.

    Article  PubMed  Google Scholar 

  52. Kahn HS, Imperatore G, Cheng YJ: A population-based comparison of BMI percentiles and waist-to-height ratio for identifying cardiovascular risk in youth. J Pediatr. 2005, 146: 482-88. 10.1016/j.jpeds.2004.12.028.

    Article  PubMed  Google Scholar 

  53. McCarthy HD, Ashwell M: A study of central fatness using waist-to-height ratios in UK children and adolescents over two decades supports the simple message-'keep your waist circumference to less than half your height'. Int J Obesity. 2006, 30: 988-92. 10.1038/sj.ijo.0803226.

    CAS  Article  Google Scholar 

  54. Freedman DS, Kahn HS, Mei Z, et al: Relation of body mass index and waist-to-height ratio to cardiovascular disease risk factors in children and adolescents: the Bogalusa Heart Study. Am J Clin Nutr. 2007, 86: 33-40.

    CAS  PubMed  Google Scholar 

  55. Weili Y, He B, Yao H, et al: Waist-to-height ratio is an accurate and easier index for evaluating obesity in children and adolescents. Obesity. 2007, 15: 748-52. 10.1038/oby.2007.601.

    Article  PubMed  Google Scholar 

  56. Mokha JS, Srinivasan SR, Dasmahapatra P, et al: Utility of waist-to-height ratio in assessing the status of central obesity and related cardiometabolic risk profile among normal weight and overweight/obese children: the Bogalusa Heart Study. BMC Pediatr. 2010, 10: 73-

    Article  PubMed  PubMed Central  Google Scholar 

  57. Apfelbacher CJ, Loerbroks A, Cairns J, Behrendt H, Ring J, Kramer U: Predictors of overweight and obesity in five to seven-year-old children in Germany: Results from cross-sectional studies. BMC Public Health. 2008, 8: 171-10.1186/1471-2458-8-171.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Jafar TH, Qadri Z, Islam M, Hatcher J, Bhutta ZA, Chaturvedi N: Rise in childhood obesity with persistently high rates of undernutrition among urban school-aged Indo-Asian children. Arch Dis Child. 2008, 93 (5): 373-378. 10.1136/adc.2007.125641.

    CAS  Article  PubMed  Google Scholar 

  59. Kinra S, Nelder RP, Lewendon GJ: Deprivation and childhood obesity: a cross sectional study of 20 973 children in Plymouth, United Kingdom. J Epidemiol Community Health. 2000, 54: 456-460. 10.1136/jech.54.6.456.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  60. Wang Y, Lobstein T: Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes. 2006, 1: 11-25. 10.1080/17477160600586747.

    Article  PubMed  Google Scholar 

  61. Wang Y, Beydoun MA: The Obesity Epidemic in the United States--Gender, Age, Socioeconomic, Racial/Ethnic, and Geographic Characteristics: A Systematic Review and Meta-Regression Analysis. Epidemiol Rev. 2007, 29: 6-28. 10.1093/epirev/mxm007.

    CAS  Article  PubMed  Google Scholar 

  62. Mamalakis G, Kafatos A, Manios Y, Anagnostopoulou A, Apostolaki I: Obesity indices in a cohort of primary school children in Crete: a six year prospective study. Int J Obes. 2000, 24: 765-771. 10.1038/sj.ijo.0801223.

    CAS  Article  Google Scholar 

  63. Hakeem R: Socio-economic differences in height and body mass index of children and adults living in urban areas of Karachi, Pakistan. Eur J Clin Nutr. 2001, 55: 400-406. 10.1038/sj.ejcn.1601172.

    CAS  Article  PubMed  Google Scholar 

  64. Chhatwal J, Verma M, Riar SK: Obesity among pre-adolescent and adolescents of a developing country (India). Asia Pac J Clin Nutr. 2004, 13: 231-235.

    PubMed  Google Scholar 

  65. Shrewsbury V, Wardle J: Socioeconomic Status and Adiposity in Childhood: A Systematic Review of Cross-sectional Studies 1990-2005. Obesity (Silver Spring). 2008, 16: 275-84. 10.1038/oby.2007.35.

    Article  Google Scholar 

  66. Monteiro CA, Conde WL, Lu B, Popkin BM: Obesity and inequities in health in the developing world. Int J Obes. 2004, 28: 1181-86. 10.1038/sj.ijo.0802716.

    CAS  Article  Google Scholar 

  67. Wang Y: Cross-national comparison of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status. Int J Epidemiol. 2001, 30: 1129-1136. 10.1093/ije/30.5.1129.

    CAS  Article  PubMed  Google Scholar 

  68. Kocaoglu B, Moschonis G, Dimitriou M, et al: Parental educational level and cardiovascular disease risk factors in schoolchildren in large urban areas of Turkey: Directions for public health policy. BMC Public Health. 2005, 5: 13-10.1186/1471-2458-5-13.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Lamerz A, Kuepper-Nybelen J, Wehle C, et al: Social class, parental education, and obesity prevalence in a study of six-year-old children in Germany. Int J Obes (Lond). 2005, 29 (4): 373-80. 10.1038/sj.ijo.0802914.

    CAS  Article  Google Scholar 

  70. Danielzik S, Czerwinski-Mast M, Langnase K, Dilba B, Muller MJ: Parental overweight, socioeconomic status and high birth weight are the major determinants of overweight and obesity in 5-7 y-old children: baseline data of the Kiel Obesity Prevention Study (KOPS). Int J Obes Relat Metab Disord. 2004, 28 (11): 1494-502. 10.1038/sj.ijo.0802756.

    CAS  Article  PubMed  Google Scholar 

  71. Veugelers PJ, Fitzgerald AL: Prevalence of and risk factors for childhood overweight and obesity. CMAJ. 2005, 173 (6): 607-613. 10.1503/cmaj.050445.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Van Lenthe FJ, Mackenbach JP: Neighbourhood deprivation and overweight: the GLOBE study. Int J Obes Relat Metab Disord. 2002, 26: 234-40. 10.1038/sj.ijo.0801841.

    CAS  Article  PubMed  Google Scholar 

  73. Willms JD, Tremblay MS, Katzmarzyk PT: Geographic and demographic variation in the prevalence of overweight Canadian children. Obes Res. 2003, 11: 668-73. 10.1038/oby.2003.95.

    Article  PubMed  Google Scholar 

  74. INCLEN: Body mass index and cardiovascular disease risk factors in seven Asian and five Latin American centers data from the International Clinical Epidemiology Network (INCLEN). Obes Res. 1996, 4: 221-228.

    Article  Google Scholar 

  75. Chopra M, Galbraith S, Darnton-Hill I: A global response to a global problem: the epidemic of overnutrition. Bull World Health Organ. 2002, 80: 952-958.

    PubMed  Google Scholar 

  76. Popkin BM: An overview on the nutrition transition and its health implications: the Bellagio meeting. Public Health Nutr. 2002, 5: 93-103.

    PubMed  Google Scholar 

  77. Reilly JJ: Tackling the obesity epidemic: new approaches. Arch Dis Child. 2006, 91: 724-726. 10.1136/adc.2006.098855.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We dedicate this work to the loving memories of Ubeera Shahid (1987-2010, Allama Iqbal Medical College Class of 2011) who left us in an unfortunate motorway car accident. We are grateful to Professor Arif M Siddiqui, MBBS, MRCP, FRCP (Eng, Ed & Glasg), Usman Khurshid, MBBS, Komal Mushtaq, MBBS-IV, Mahar M Shafique, MBBS, Mohsin ZS Ullah, MBBS, M Rizwan, MBBS, Haris S Sheikh, MBBS-III and other Research Associates with us at the Ubeera Memorial Research Society of Allama Iqbal Medical College, Lahore, Pakistan. We would like to thank Dina Kakar, MD, Andrea Lyman, MD, MSc, MS and Douglas Proops MD, MPH. We are indebted to children, parents and staff at the sampled schools. We acknowledge partial financial support from Allama Iqbal Medical College and technical support from the Punjab Departments of Health and Education, Lahore, Pakistan.

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Authors and Affiliations

  1. Ubeera Memorial Research Society, Allama Iqbal Medical College, Lahore, 54000, Pakistan

    Muhammad Umair Mushtaq, Sibgha Gull, Hussain Muhammad Abdullah, Ubeera Shahid & Javed Akram

  2. Punjab Department of Health, District Health Office Nankana Sahib, Nankana Sahib, 39100, Pakistan

    Muhammad Umair Mushtaq & Mushtaq Ahmad Shad

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  1. Muhammad Umair Mushtaq
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  2. Sibgha Gull
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  3. Hussain Muhammad Abdullah
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Correspondence to Muhammad Umair Mushtaq.

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The authors declare that they have no competing interests.

Authors' contributions

MUM, principal investigator, conceived and implemented the study, analyzed and interpreted the data, prepared the manuscript and supervised the entire project. SG and HMA contributed to the study analysis, interpretation and manuscript preparation. US contributed to the study conception, implementation and analysis. MAS and JA oversaw the study conception, implementation and manuscript preparation. All authors read and approved the final manuscript.

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Mushtaq, M.U., Gull, S., Abdullah, H.M. et al. Waist circumference, waist-hip ratio and waist-height ratio percentiles and central obesity among Pakistani children aged five to twelve years. BMC Pediatr 11, 105 (2011). https://doi.org/10.1186/1471-2431-11-105

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Keywords

  • Waist Circumference
  • Childhood Obesity
  • Central Obesity
  • Primary School Child
  • High Waist Circumference

BMC Pediatrics

ISSN: 1471-2431

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