Is waist-to-height ratio a useful indicator of cardio-metabolic risk in 6-10-year-old children?
© Kuba et al.; licensee BioMed Central Ltd. 2013
Received: 21 September 2012
Accepted: 15 May 2013
Published: 11 June 2013
Childhood obesity is a public health problem worldwide. Visceral obesity, particularly associated with cardio-metabolic risk, has been assessed by body mass index (BMI) and waist circumference, but both methods use sex-and age-specific percentile tables and are influenced by sexual maturity. Waist-to-height ratio (WHtR) is easier to obtain, does not involve tables and can be used to diagnose visceral obesity, even in normal-weight individuals. This study aims to compare the WHtR to the 2007 World Health Organization (WHO) reference for BMI in screening for the presence of cardio-metabolic and inflammatory risk factors in 6–10-year-old children.
A cross-sectional study was undertaken with 175 subjects selected from the Reference Center for the Treatment of Children and Adolescents in Campos, Rio de Janeiro, Brazil. The subjects were classified according to the 2007 WHO standard as normal-weight (BMI z score > −1 and < 1) or overweight/obese (BMI z score ≥ 1). Systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting glycemia, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), Homeostatic Model Assessment – Insulin Resistance (HOMA-IR), leukocyte count and ultrasensitive C-reactive protein (CRP) were also analyzed.
There were significant correlations between WHtR and BMI z score (r = 0.88, p < 0.0001), SBP (r = 0.51, p < 0.0001), DBP (r = 0.49, p < 0.0001), LDL (r = 0.25, p < 0.0008, HDL (r = −0.28, p < 0.0002), TG (r = 0.26, p < 0.0006), HOMA-IR (r = 0.83, p < 0.0001) and CRP (r = 0.51, p < 0.0001). WHtR and BMI areas under the curve were similar for all the cardio-metabolic parameters. A WHtR cut-off value of > 0.47 was sensitive for screening insulin resistance and any one of the cardio-metabolic parameters.
The WHtR was as sensitive as the 2007 WHO BMI in screening for metabolic risk factors in 6-10-year-old children. The public health message “keep your waist to less than half your height” can be effective in reducing cardio-metabolic risk because most of these risk factors are already present at a cut point of WHtR ≥ 0.5. However, as this is the first study to correlate the WHtR with inflammatory markers, we recommend further exploration of the use of WHtR in this age group and other population-based samples.
KeywordsWaist-to-height ratio Obesity Insulin resistance Cardiovascular disease Body mass index
Obesity is subclinical inflammation characterized by the secretion of cytokines that influence the formation of atherosclerotic plaque and endothelial dysfunction . This inflammatory process begins in childhood and involves leukocytes and the hepatic secretion of C-reactive protein (CRP), whose serum levels are significantly correlated with abdominal adiposity in adolescents . Although the relationship between abdominal obesity and cardio-metabolic disorders has already been demonstrated through the assessment of the abdominal circumference in adults, in children there are controversies. For some authors  body mass index (BMI) and waist circumference (WC) are equal indicators of metabolic risk, whereas others believe WC to be a better indicator . Because both WC and BMI depend on the use of sex- and age-specific percentile tables in children, waist-to-height ratio (WHtR) has emerged as new option that is more attractive than these other anthropometric indices. WHtR is easier to obtain, does not require reference tables, is less influenced by sexual maturity, is suitable for population and epidemiologic studies and can be used on a large scale in screening for metabolic risk in both adults and children [5, 6].
The objective of this study is to compare the WHtR to the 2007 World Health Organization (WHO) reference for BMI in screening for the presence of cardio- metabolic and inflammatory risk factors in normal-weight and overweight/obese 6–10-year-old children.
This was a cross-sectional study of a sequential sample of children from the Pediatric Endocrinology outpatient clinic of the Reference Center for the Treatment of Children and Adolescents (CRTCA) in Campos, State of Rio de Janeiro, in the southeast of Brazil. Data were collected between November 2006 and April 2008. The sample comprised 175 children of both sexes aged 6–10. All subjects were classified as Tanner staging as pre-adolescents, with no apparent secondary sexual characteristic. Most participants were from low-income families and many were of African American descent. Although puberty may start earlier in African Americans, it was not seen in our cohort. About 60% of the children were referred to the CRTCA by pediatricians or brought by their own parents who were worried about their health. The remaining 40% were sent by the principals of public schools in Campos, after personal contact to explain the aim of the study. The reason for sending children who were slim was to check whether their weight or height was normal. Overweight/obese children were sent for this reason or because dyslipidemia had been found on initial screening by a pediatrician. Children with thyroid, kidney or liver disorders, psychiatric diseases, non-essential hypertension or acute or chronic infections, who were using any medication that could interfere with the variables analyzed, or who were undergoing treatment for weight control were excluded. According to these criteria three children were excluded because they presented levels of CRP higher than 8 ng/dL, suggesting an acute infection. The study was performed according to Helsinki Declaration and approved by the Ethical Committee in Research of the University of São Paulo (203/2011). The individuals had their identity preserved and participated in the study only after the Terms of Consent had been signed by their parents or guardians.
All subjects were examined by the same observer, who evaluated their weight (measured to the nearest 0.1 kg on a Filizola adult-type scale with the subject wearing light clothes, without shoes and with their feet juxtaposed) and height (measured to the nearest 0.1 cm on a wall-mounted stadiometer of Halpender–Holtain type (Tonelli)) . WC was measured in centimeters with an inelastic tape just above the superior border of the right iliac crest at the end of normal expiration, according to the NHANES III study . These methods were chosen because the original NHANES III included a large sample of children from different ethnic groups (including African Americans) that closely resembled our sample. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured in millimeters of mercury in the right upper limb with a cuff appropriate to the length and circumference of the arm, after the child was rested and had been sitting down for at least five minutes. Blood pressure (BP) was checked twice during the appointment and the mean of the two measurements was used for analysis . Values over 90th percentile (p90) were considered abnormal . BP z scores were also calculated based on the reference values for sex, age and height . BP was checked again at the second appointment about 45 days after the first evaluation, when the children returned with the results of the complementary tests requested. BMI z scores for all children were calculated from the 2007 WHO reference data , which classified them as normal-weight (z score > −1 and < 1) or overweight/obese (z score ≥ 1).
At the first clinical evaluation, parents or guardians of all children were instructed to take their children to the CRTCA to get their blood drawn after 12-hour overnight fasting for the measurement of fasting glycemia, total cholesterol (TC), LDL, TG, HDL, insulin, CRP and leukocyte count. The assays were run in the Municipal Hospital of Guarus, in Campos. LDL was calculated using Friedewald’s formula . Lipid profile values were established according to the 1st Brazilian Guidelines on the prevention of atherosclerosis in childhood and adolescence which consider normal levels to be TC < 150 mg/dl, LDL < 100 mg/dl, TG < 100 mg/dl and HDL ≥ 45 mg/dl . The cut-off value for the Homeostatic Model of Assessment – Insulin Resistance (HOMA-IR) was ≥ 2.5 based on the study of Madeira . Glycemia and lipid profiles were determined by the colorimetric enzymatic method using a kit for the Hitachi–Roche modular system. Insulin was measured by chemiluminescence using a Bayer kit, and CRP by immunonephelometry with a Dade Behring kit (Bayer). Leukocyte count was determined using an automated data processing system (Pentra 180 ABX).
BP values and metabolic parameters were compared among groups using Student’s t-test for continuous variables with a normal distribution and the Mann–Whitney test for those without a normal distribution. BMI z scores were calculated according to the 2007 WHO standard using Anthro Plus software. The sensitivity and specificity of BMI z score for the detecting changes in BP or HOMA-IR were calculated by receiver operating characteristic (ROC) curve analysis. The most sensitive WHtR cut-off value for the detection of cardio-metabolic changes was also determined using a ROC curve. Correlation analysis was conducted using Pearson or Spearman coefficients; the latter were used when the data were not normally distributed. Insulin and HOMA-IR values were not normally distributed on the Kolmogorov–Smirnof test and it was necessary to transform them into logarithms to evaluate their correlation with WHtR. Medcalc version 126.96.36.199, GraphPad Instat version 3.00 and Graph Pad Prism 5 version 5.04 were used for statistical analysis.
Demographic and clinic data of normal-weight and overweight/obese 6-10-year-old children from Campos
n = 88
n = 87
p = 0.8122
p = 0.7630
Age (median ± SD)
8.08 ± 1.24
8.28 ± 1.15
p = 0.2703
WHtR (median ± SD)
0.45 ± 0.004
0.58 ± 0.007
p < 0.0001
Height/age z score
−0.31 ± 1.08
0.84 ± 1.17
p < 0.0001
Waist (cm, median ± SD)
56.8 ± 5.22
76.5 ± 10.80
p < 0.0001
BMI z score (median ± SD)
−0,16 ± 0.64
2.90 ± 0.13
p < 0.0001
SBP z score (median ± SD)
−0.91 ± 1.12
0.94 ± 0.16
p < 0.0001
DBP z score (median ± SD)
0.32 ± 0.85
1.71 ± 1.15
p < 0.0001
Correlations between WHtR and cardio-metabolic parameters in normal-weight and overweight/obese 6-10-year-old children from Campos
0.83 (0.77 – 0.87)
0.79 (0.74 – 0.85)
0.25 (0.11– 0.39)
−0.28 (−0.41– 0.13)
0.26 (0.11– 0.39)
0.14 (0.08 – 0.28)
AUCs for WHtR and 2007 WHO BMI z score for screening metabolic risk factors in normal-weight and overweight/obese 6-10-year-old children from Campos
Sensitivity and specificity of WHtR for screening metabolic risk factors in normal-weight and overweight/obese 6–10-year-old children from Campos
92.6 (75.7 – 99)
76.3 (65.2 – 85.3)
80.0 (64.4 –91)
68.9 (60.4 – 76.6)
76.6 (66 – 85.5)
74.5 (64.7 – 83)
65.8 (54 – 76.3)
55.0 (44.2 – 64.6)
60.0 (49 – 70.5)
70.0 (59.4 – 79.2)
66.1 (53 – 77.7)
45.1 (35.8 – 54.8)
Sensitivity and specificity of the 2007 WHO BMI z score for diagnosing metabolic risk factors in normal-weight and overweight/obese 6-10-year-old children from Campos
88 (68.8 – 97.5)
80.0 (72.7 – 86.1)
87.5 (70.2 – 94.3)
68.9 (60.4 – 76.6)
79 (68.5 – 87.6)
76.6 (66.9 – 84.5)
64.5 (52.7 – 75)
56.6 (46.2 – 66.5)
54.1 (43 – 65)
76.7 (67 – 84.9)
50.0 (37 – 63)
59.3 (49.6 – 68.4)
Obesity in childhood is an important risk factor for the development of atherosclerotic heart disease  once an increased BMI from 10 years of age is considered the strongest predictor of premature death by acute myocardial infarction during adult life . Insulin resistance (IR) seems to have an important role in the pathogenesis of atherosclerosis and metabolic syndrome which are related to overweight and mainly to abdominal adiposity [14, 16].
BMI is the most traditional anthropometric index used for diagnosing overweight. As the prevalence of childhood obesity has grown up, the WHO reviewed the 2000 Centers for Disease Control (CDC) BMI curves to increase their sensitivity for the diagnosis of overweight , producing the 2007 WHO BMI standard, which is the most sensitive reference available at present. To our knowledge this is the first study comparing WHtR to this BMI reference for the assessment of cardio-metabolic risk factors, since all others have used the 2000 CDC standard [17, 18]. We found WHtR to be capable of detecting an increase in LDL at a cut-off value of > 0.48 which would not have been possible using the WHO BMI only, as children with this WHtR are considered lean using the WHO BMI, because they are classified in the BMI z score < 0.8. Such findings are in agreement with those of other population-based studies that reinforce the importance of including WHtR measurements in routine care, with the aim of detecting the presence of cardio-metabolic risk factors even in normal-weight children [6, 17, 19, 20].
We found a strong correlation between WHtR and the WHO BMI standard with respect to the assessment of weight (r = 0.88). This finding was close to that reported by Savva et al. (r = 0.91), who studied adolescents aged 10–14 years . Regarding BP, in the study of Hara et al.  the correlation between WHtR and SBP (r = 0.27) and DBP (r = 0.25) was lower than that suggested by our results. Although WHtR was strongly correlated with HOMA-IR in the present study, this was not the case for glycemia, probably because IR is incipient in 6–10-year-old children.
The AUCs for WHtR and BMI in our study were similar to those observed by Freedman et al.  for screening elevated LDL (0.62 and 0.61 for WHtR and BMI respectively) and HDL (0.68 and 0.64 respectively). However, for screening SBP and DBP alterations the WHtR AUCs found by Freedman were lower than ours (0.68 and 0.54 for SBP and DBP, respectively). We believe that the differences between our results and those of Freedman  and Hara  regarding BP are a consequence of a higher proportion of African American descent in our sample from Rio de Janeiro, when compared to those from USA and Japan, as hypertension is more prevalent and severe in this ethnic group and in Latin American people . The population-based samples studied by Freedman, for example, comprised 57% of whites  while our sample had 55% of African American descent.
Both anthropometric indexes were unable to diagnose hypertriglyceridemia either because IR is still incipient at this age or due to their ethnicity as people of African descent have lower serum TG levels .
In the present study the correlation with and sensitivity of WHtR were maximal for IR and hypertension. This leads us to believe that IR is one of the earliest metabolic disturbances to arise and contributes to hypertension, stimulating sodium and water renal retention, the sympathetic nervous system and vasoconstriction . Through IR the lypolysis is intensified in adipose tissue, creating atherogenic dyslipidemia which together with the production of cytokines by visceral adipose tissue promote inflammatory reactions and hepatic CRP synthesis [24, 25].
We would like to highlight that until we know this is the first study to demonstrate a relationship between WHtR and inflammatory markers. WHtR has previously been related only to CRP indicating that endothelial inflammation may already be evident in 6–10-year-old children. In contrast to the findings of a study of older children (8–16 years) , the absence of correlation between WHtR and leukocyte count in our study suggests that in 6–10-year-old children this inflammatory process is mediated by adipokines only.
The International Diabetes Federation (IDF) established ethnic and sex-specific cut-off points for WC indicative of metabolic risks in adults . In children under 10 years however, there is no specific cut-off for WC or BMI that defines abdominal obesity and/or cardio-metabolic risk [27–29]. This is the reason why WHtR has become an attractive and practical option in recent years . The 0.5 cut-off value brings adults and children, men and women closer together and allows the characterization of visceral fat even in normal-weight individuals [16, 18], depending only on a tape measure and height measurement [5, 31]. Some authors have questioned the use of this cut-off point as a universal indicator of cardio-metabolic risk , arguing that Asian populations tend to be shorter than Caucasians and as a consequence, the risk in the former would be increased at a lower WC . Others, however, did not find any difference between the sexes, ethnic or age groups  because the division of WC by height aims to minimize such differences . Despite this disagreement cardiovascular risk factors tend to group together more frequently above 0.5 constituting the metabolic syndrome , as we observed in the present study. Another advantage of WtHR is the individualization of the WC cut-off value with respect to height as an indicator of risk: using a cut-off value of less than one-half of the individual’s height, shorter adults could be shown to be at risk without those cut-off points proposed by the IDF. This value could also be used to screen for metabolic risk early, even in children under 10.
We would like to highlight some limitations of our study. The first was that we did not have access to data on other factors that could influence BP, such as family history of hypertension, salt intake and the eating habits of the population under study.
The second limitation was related to the use of the HOMA-IR for diagnosing IR. Use of the gold standard, the euglycemic hyperinsulinemic clamp, is not feasible in children because it is a complex procedure, difficult to perform and expensive. The HOMA-IR is an alternative which requires only fasting glucose and insulin measurements . Some authors argue that there is no consensus regarding the ideal HOMA-IR cut-off value in children, and the commercially available kits also measure pro insulin . However, the HOMA-IR is reliable and practical since it is standardized for a specific population as we chose, based on that of Madeira’s study, whose data came from a cohort of children of similar age to ours and originating from Rio de Janeiro . Furthermore, results on the HOMA-IR are strongly correlated with those obtained using the euglycemic hyperinsulinemic clamp (r = 0.82) and are thus considered reliable for epidemiologic studies on a large scale . Regarding the kits used to measure insulin, the cross-reaction with pro insulin is small (estimated in 8% for the chemiluminescence test).
Finally we would like to emphasize that our sample comprised children from low-income families and public schools in the north of Rio de Janeiro. Therefore, we suggest caution in the extrapolation of our results. As the aim is to call attention to the correlation between an easy anthropometric method (WHtR) for screening the presence of cardio-metabolic risk factors, we suggest that further population-based studies should be carried out for the exploration of the observed associations.
To prevent cardiovascular disease and DM2 increasing on a large scale the message “keep your waist to less than half your height” is simple and can be effective in public health education . It also indicates that each one of us has an individual critical WC value that can be more effective in screening for metabolic risk than a single cut-off value pre-established for everyone, as has been proposed recently .
WHtR is as sensitive as BMI in screening for cardio-metabolic and inflammatory risk. It is feasible, has a low cost and the ability to explain abdominal adiposity and is able to detect cardio-metabolic risk even in lean children. The message “keep your WC to less than half your height” can be useful for cardio-metabolic risk prevention programs, with the advantage of individualizing WC cut-point and metabolic risk.
We thank Dr José Tarcísio Thichiebaut who helped us to interpret our results. We also thank Dr Cláudio Manoel Petrucci who allowed the assays to be run in the Municipal Hospital of Guarus.
- Lyon CJ, Law RE, Hsue L, Hsue WA: Minireview: adiposity, inflammation and atherogenesis. Endocrinology. 2003, 144: 2195-2200. 10.1210/en.2003-0285.View ArticlePubMedGoogle Scholar
- Ford ES, Ajani UA, Mokdad UA: The metabolic syndrome and concentration of C-reactive protein among US youth. Diabetes Care. 2005, 28: 878-881. 10.2337/diacare.28.4.878.View ArticlePubMedGoogle Scholar
- Moreno LA, Pineda I, Rodriguez G, Fleta J, Sarria A, Bueno M: Waist circumference for the screening of the metabolic syndrome in children. Acta Paediatr. 2002, 91: 1307-1312. 10.1111/j.1651-2227.2002.tb02825.x.View ArticlePubMedGoogle Scholar
- Savva SC, Tornaritis M, Savva ME, Kourides Y, Panagi A, Georgiou C, Kafatos A: Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes. 2000, 24: 1453-1458. 10.1038/sj.ijo.0801401.View ArticleGoogle Scholar
- Ashwell M, Hsieh SD: Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr. 2005, 56: 303-307. 10.1080/09637480500195066.View ArticlePubMedGoogle Scholar
- Goulding A, Taylor RW, Grant AM, Parnell WR, Wilson NC, Williams SM: Waist-to-height ratios in relation to BMI z scores in three ethnic groups from a representative sample of New Zeland children aged 5–14 years. Int J Obes. 2010, 34: 1188-1190. 10.1038/ijo.2009.278.View ArticleGoogle Scholar
- National Health Statistics Examination Survey: Anthropometry procedures manual. Available at: http://www.cdc.gov/nchs/data/nhanes/bm.pdf.2002
- Falkner B, Gidding SS, Portman R, Rosner B: Hypertension in adolescence: blood pressure variability and classification of prehypertension and hypertension in adolescence. Pediatrics. 2008, 122: 238-242. 10.1542/peds.2007-2776.View ArticlePubMedGoogle Scholar
- National High Blood Pressure Education Programm Working Group on high blood pressure in children and adolescents, National High Blood Pressure Education Programm Working Group on high blood pressure in children and adolescents: The fourth report on the diagnosis, evaluation and treatment of high blood pressure in children and adolescents. Pediatrics. 2004, 114 (2 Suppl 4th Report): 555-576.Google Scholar
- de Onis M, Onyango AW, Borghi E, Siyan A, Nishida C, Siekmann J: Development of a WHO growth reference for school-aged children and adolescents. Bull WhO. 2007, 85: 660-667.PubMedPubMed CentralGoogle Scholar
- Friedewald WT, Levy RI, Fredricson DS: Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without the use of the preparative ultracentrifuge. Clin Chem. 1972, 18: 499-502.PubMedGoogle Scholar
- Giuliano ICB: I Diretriz de Prevenção da Aterosclerose na Infância e na Adolescência. Arq Bras Cardiol. 2005, 85: 3-36.View ArticleGoogle Scholar
- Madeira IR, Carvalho CNM, Gazolla FM, Matos HJ, Borges MA, Bordallo MAN: Ponto de corte do Índice homeostatic model assessment for insulin resistance (HOMA-IR) avaliado pela curva receiver operating characteristic (ROC) na detecção de síndrome metabólica em crianças pré-púberes com excesso de peso (English title: HOMA-IR cut-off evaluated through the receiver operating characteristic curve in the detection of metabolic syndrome in overweight prepubertal children). Arq Bras Endocrinol Metab. 2008, 52: 1466-1473. 10.1590/S0004-27302008000900010.View ArticleGoogle Scholar
- Bell LM, Byrne S, Thompson A, Ratnan N, Blair E, Bulsara M, Jones TH, Davis EA: Increasing body mass index z-score is continuously associated with complications of overweight in children, even in the healthy weight range. J Clin Endocrinol Metab. 2007, 92: 517-522.View ArticlePubMedGoogle Scholar
- Baker JL, Olsen LW, Serensen TIA, Sci M: Childhood body mass index and the risk of coronary heart disease in adulthood. N Engl Med J. 2007, 357: 2329-2337. 10.1056/NEJMoa072515.View ArticleGoogle Scholar
- Goran MI, Ball GDC, Cruz ML: Obesity and risk of type 2 diabetes and cardiovascular disease in children and adolescents. J Endocrinol Metab. 2003, 88: 1417-1427. 10.1210/jc.2002-021442.View ArticleGoogle Scholar
- Mokha JS, Srinivasan SR, DasMahapatra P, Fernandez C, Chen W, Xu J, Berenson GS: Utility of the waist-to-Height ratio in assessing the status of central obesity and related cardio-metabolic risk profile among normal weight and overweight/obese children: the Bogalusa heart study. Pediatrics. 2010, 10: 73-79.PubMedPubMed CentralGoogle Scholar
- Nambiar S, Hughes I, Davies PSW: Developing waist-to-height ratio cut-offs to define overweight and obesity in children and adolescents. Public Health Nutr. 2009, 13: 1566-1574.View ArticleGoogle Scholar
- Hsieh SD, Muto T: The superiority of the waist-to-height ratio as an anthropometric index to evaluate clustering of coronary risk factors among normal-weight men and women. Prev Med. 2005, 40: 216-220. 10.1016/j.ypmed.2004.05.025.View ArticlePubMedGoogle Scholar
- Khan 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: 482-488. 10.1016/j.jpeds.2004.12.028.View ArticleGoogle Scholar
- Hara M, Saitou E, Iwata F, Okada T, Harada K: Waist-to-height ratio is the best predictor of the cardiovascular disease risk factors in Japanese school children. J Atheroscler Thromb. 2002, 9: 127-132. 10.5551/jat.9.127.View ArticlePubMedGoogle Scholar
- Freedman DS, Kahn HS, Mei Z, Grummer-Strawn LM, Dietz WH, Srinivasan SR, Berenson GS: 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.PubMedGoogle Scholar
- McCarthy HD, Yancey AK, Siegel JM, Wong WK, Ward A, Leslie J, Gonzalez E: Correlation of obesity with elevated blood pressure among racial/ethnic minority children in two Los Angeles middle schools. Prev Chronic Dis. 2008, 5: A 46-Google Scholar
- Süheyl Ezgü F, Hasanoğlu A, Tümer L, Ozbay F, Aybay C, Gündüz M: Endothelial activation and inflammation in prepubertal obese Turkish children. Metabolism. 2005, 54: 1384-1389. 10.1016/j.metabol.2005.05.003.View ArticlePubMedGoogle Scholar
- Visser M, Bouter LM, McQuillan GM, Wener MH, Harris TB: Low-grade systemic inflammation in overweight children. Pediatrics. 2001, 107: 1-6. 10.1542/peds.107.1.1.View ArticleGoogle Scholar
- The IDF consensus worldwide definition of the metabolic syndrome: Part 1: Worldwide definition for use in clinical practice. Internet: http://www.idf.org (accessed in 28 July 2005)
- McCarthy HD, Jarret KV, Crawley HF: The development of waist circumferences percentiles in British children aged 5 to 19years. Eur J Clin Nutr. 2001, 55: 902-907. 10.1038/sj.ejcn.1601240.View ArticlePubMedGoogle Scholar
- Kelishadi R, Gouya MM, Ardalan G, Hosseini M, Motaghian M, Delavari A, Majdzadeh R, Heidarzadeh A, Mahmoud-Arabi MS, Riazi MM, The Caspian Study Group: 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.View ArticlePubMedGoogle Scholar
- Fernadez JR, Redden DT, Pietrobelli A, Allison D: Waist circumference percentiles in nationally representative samples of African-American, European-American and Mexican-American children and adolescents. J Pediatr. 2004, 145: 439-444. 10.1016/j.jpeds.2004.06.044.View ArticleGoogle Scholar
- Garnett SP, Baur LA, Cowell CT: Waist-to-height ratio: a simple option for determining excess central adiposity in young people. Int J Obes. 2008, 32: 1028-1030. 10.1038/ijo.2008.51.View ArticleGoogle Scholar
- Mushtaq MU, Gull S, Abdulla HM, Shahid U, Shad MA, Akram J: Waist circumference, waist-hip ratio and waist-height ratio percentiles and central obesity among Pakistani children aged five to twelve years. BMC Pediatr. 2011, 11: 105-10.1186/1471-2431-11-105.View ArticlePubMedPubMed CentralGoogle Scholar
- Sung RYT, So H, Choi K, Nelson EAS, Li AM, Yin JAT, Kwok CWL, Ng P, Fok T: Waist circumference and waist-to-height ratio of Hong Kong Chinese children. BMC Publ Health. 2008, 8: 324-10.1186/1471-2458-8-324.View ArticleGoogle Scholar
- Lin W, Lee L, Chen CY, Lo H, Hsia H, Liu H, Lin R, Shau W, Huang K: Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes. 2002, 26: 1232-1238. 10.1038/sj.ijo.0802040.View ArticleGoogle Scholar
- Maffeis C, Banzatto C, Talamini G: Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children. J Pediatr. 2008, 152: 207-213. 10.1016/j.jpeds.2007.09.021.View ArticlePubMedGoogle Scholar
- Bonora E, Moghetti P, Alberiche M, Bonadonna RC, Saggiani F, Zenere MB, et al: Homeostatic model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity. Diabetes Care. 2000, 23: 57-63. 10.2337/diacare.23.1.57.View ArticlePubMedGoogle Scholar
- Levy-Marchal C, Arslanian S, Cutfield W, Sinaiko A, Druet C, Marcovecchio L, Chiarelli F: Insulin resistance in children: consensus, perspective and future directions. J Clin Endocrinol Metab. 2010, 95: 5189-5198. 10.1210/jc.2010-1047.View ArticlePubMedPubMed CentralGoogle Scholar
- McCarthy HD, Aschwell MA: A study of central fatness using waist-to –height ratios in UK children and adolescents over two decades support the simple message – ‘keep your waist circumference to less than your height’. Int J Obes. 2006, 30: 988-992. 10.1038/sj.ijo.0803226.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2431/13/91/prepub
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