Skip to main content
Journal of Research in Medical Sciences : The Official Journal of Isfahan University of Medical Sciences logoLink to Journal of Research in Medical Sciences : The Official Journal of Isfahan University of Medical Sciences
. 2015 Mar;20(3):294–307.

Systematic review on the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors

Roya Kelishadi 1,2, Parisa Mirmoghtadaee 1, Hananeh Najafi 2, Mojtaba Keikha 1,
PMCID: PMC4468236  PMID: 26109978

Abstract

Background:

The adverse health effects of abdominal obesity are well documented in adults, but such association remains to be determined in the pediatric age group. This study aims to perform a systematic review on the association between abdominal obesity and cardio-metabolic factors such as dyslipidemia, hypertension, and hyperglycemia among children and adolescents.

Materials and Methods:

A systematic literature search was conducted using PubMed, Scopus and Google Scholar databases to May 2014. Two independent reviewers identified relevant papers in several steps. After studying the titles and texts of documents, repeated and irrelevant ones were excluded. The search was refined to the English language. We did not consider any time limitation. Studies with different measuring methods of abdominal obesity were included. Studies with abdominal obese patients secondary to other disease were excluded from the study. In final, the data of association of cardio-metabolic risk factors and abdominal obesity extracted from studies.

Results:

Overall, 3966 articles were reviewed, and 61 of them were studied according to the inclusion and exclusion criteria. Waist circumference (WC), waist-to-height ratio, and waist-to-hip ratio were the most common indexes used for defining abdominal obesity. The association of high blood pressure with increasing WC was seen in several studies. The association of other cardio-metabolic risk factors was seen in some studies.

Conclusion:

Whatever the definition used for abdominal obesity and whatever the methods used for anthropometric measurements, central body fat deposition in children and adolescents increases the risk of cardio-metabolic risk factors. Therefore, more attention should be paid to abdominal obesity of children and adolescents both in clinical practice and in epidemiological studies.

Keywords: Cardio-metabolic risk factors, central fat deposition, obesity, pediatric age group

INTRODUCTION

The prevalence of overweight/obesity has increased worldwide; affecting all age ranges including the pediatric population. Childhood obesity has been increasing at an alarming rate in both developed and developing countries.[1,2,3] In all age ranges, obesity is associated with several adverse health effects as hypertension, dyslipidemia, insulin resistance and type-2 diabetes, as well as social and psychological problems.[4] Approximately, 60% of those who present obesity in the first decades of life will have at least one of the abovementioned metabolic alterations in adulthood.[5]

Obesity in childhood is associated with adverse cardio-metabolic risk factors, including elevated blood pressure (BP), triglycerides (TG), total and low density lipoprotein cholesterol (LDL-C) and insulin, as well as reduced high density lipoprotein cholesterol (HDL-C),[6,7] and in turn with obesity and cardiovascular disease (CVD) in adulthood.[8]

In addition, childhood obesity is a risk factor for atherosclerosis and is associated with increased mortality due to CVD in adulthood, independent of adult weight.[9,10]

Individuals with upper body obesity are more susceptible to cardio-metabolic risk factors. Most studies have been conducted in adults, and limited experience exists in the pediatric age group. The Bogalusa Heart Study showed that the distribution of central fat determined by waist circumference (WC) at the ages of 5-17 years is associated with abnormal concentrations of TG, LDL-C, HDL-C, and insulin.[11] Central obesity is a major clinical and public health issue. Compared with generalized obesity, central obesity is more strongly correlated with metabolic risk factors. A number of studies have shown that central obesity is an independent risk factor for type 2 diabetes mellitus, dyslipidemia, systemic arterial hypertension, and coronary artery disease.[12,13] In adults, the risk of cardiovascular death, myocardial infarction, and all-cause death increases in parallel with WC.[14]

Although childhood obesity is a well-recognized risk factor for developing CVD and type 2 diabetes mellitus in adulthood, excess central (intra-abdominal) body fat distribution may be more related to these diseases than peripheral distribution.[15]

It is important to identify children who are at increased risk of developing comorbidities associated with obesity, to potentially intervene and prevent the development of chronic diseases including type 2 diabetes and CVD. However, the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors remain controversial.[17,18,19] This paper aims to perform a systematic review on papers that studied the association between abdominal obesity and cardio-metabolic factors among children and adolescents [Table 1].

Table 1.

Characteristics and main findings of studies included in this systematic review are presented

graphic file with name JRMS-20-294-g001.jpg

MATERIALS AND METHODS

Literature search

The search was conducted using PubMed, Scopus and Google Scholar databases to May 2014. The following keywords were used: [“Child”[Mesh] OR “Adolescent”[Mesh]) AND (“Obesity”[Mesh] OR “Pediatric Obesity”[Mesh] OR “Ideal Body Weight”[Mesh] OR “Overweight”[Mesh]) AND (“Obesity, Abdominal”[Mesh]) AND (“Dyslipidemias”[Mesh] OR “Hyperlipidemias”[Mesh] OR “Hypercholesterolemia”[Mesh] OR “Hypertension”[Mesh] OR “Hyperglycemia”[Mesh].

The search was refined to the English language. We did not consider any time limitation. The flow chart of the study selection process is presented in Figure 1.

Figure 1.

Figure 1

Papers search and review flowchart for selection of primary study

Titles and abstracts of papers were screened and relevant papers were selected. Duplicates were removed. Then, full texts of relevant papers were read, and findings were rescreened. To increase sensitivity and to select more studies, the reference list of the published studies was checked. Two independent reviewers (MK and HN) screened the titles and abstracts of papers, which were identified by the literature search, for their potential relevance or assessed the full text for inclusion in the review. In the case of disagreement, and the discrepancy was resolved in consultation with an expert parbitrating investigator (RK).

Selection criteria

All studies among children and adolescents, which evaluate the association of abdominal obesity or general obesity or overweight with cardio-metabolic risk factors were included the review. Studies with different measuring methods of abdominal obesity were included. Studies with abdominal obese patients secondary to other disease were excluded from the study.

Data extraction and abstraction

Two reviewers abstracted the data independently. The required information that was extracted from all eligible papers was as follows: Data on first author's last name, year of publication and country of the study population, population studied, aim and findings of studies.

RESULTS

Study selection strategy

As presented in Figure 1, from 3966 articles from the primary search, 61 studies were included in the current study.

Study characteristics

Papers were published between the years 2001 and 2013. The age of participants of included studies ranged from 6 to 18 years.

WC, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), trunk-to-appendicular fat ratio, WC to arm circumference, DXA-trunk fat, preperitoneal fat thickness, suprailiac skinfold thickness were the anthropometric indexes that were used to measure abdominal or central obesity or central fat distribution. WC, WHtR, and WHR were the most common variables. All these studies were included in spite the different measuring methods that they had used.

The following cardio-metabolic risk factors were considered: Systolic hypertension, diastolic hypertension, prehypertension, transient hypertension, cholesterol, LDL-C, HDL-C, fasting blood sugar, insulin resistance, insulin dose per body surface, carotid intima-media thickness, and alanine aminotransaminase.

The design of this study, age range and ethnicity of participants, different risk factors, different methods used for measuring abdominal obesity, geographic area and different statistical analysis among studies complicated the comparison of the study findings.

DISCUSSION

In this study, the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors was reviewed systematically. BP was the most common measurement among studies; most of them confirmed the association of abdominal obesity and elevated BP. Some studies showed that this association was stronger in boys than in girls.[20,21,22] In addition, the association of abdominal obesity with systolic hypertension was seen more frequently than with diastolic hypertension.[23,24] On the other hand, one study did not confirm this association.[25]

In a study, total body fat was a stronger predictor of elevated BP than visceral fat in children and adolescents.[26] Some studies presented that after adjustment for body mass index (BMI), cardio-metabolic risk factors were more prevalent in children and adolescents with abdominal obesity than in those with overweight and general obesity.[19,27,28]

Some studies documented the association of abdominal obesity in children and adolescents with abnormal lipid profile and fasting blood glucose (FBG).[6,29,30,31] Some other studies showed that the combination of abdominal obesity and generalized obesity was a stronger risk for elevated FBG and dyslipidemia than each type of obesity alone.[6,29,30,31]

In general, most studies have confirmed the association of central fat deposition in children and adolescents with various cardio-metabolic risk factors. However, controversies exist on the definition of abdominal obesity in the pediatric age group.

Different measuring methods and various indexes were used to determine abdominal obesity, e.g., WC, WHtR, and WHR, and documented different results.[17,34] Further longitudinal studies are necessary to determine the appropriate anthropometric measures in children and adolescents to predict cardio-metabolic risk factors.

A number of methods have been employed in the assessment of the distribution of regional fat, such as computed tomography and magnetic resonance imaging. Different cutoffs are used to define central obesity in the pediatric age group, e.g., the National Cholesterol Education Program Adult Treatment Panel III has proposed WC ≥90th percentile in this regard.[77]

Although visceral fat, that is, body adipose tissue located within the abdominal cavity around the visceral organs, can be accurately assessed by imaging techniques as computed tomography and magnetic resonance imaging, the routine use of these techniques are not feasible clinically.[78] BMI itself cannot differentiate between fat and fat-free mass. Therefore, an elevated BMI may not reliably reflect the accumulation of adipose tissue.[79,80] In addition, the recent increase in mean BMI of children and adolescents has been accompanied by an even steeper increase in WC.[81]

However, in children and adolescents, BMI is strongly related to growth and maturation, and is expressed as z scores or percentiles relative to age and sex.[82] In addition, BMI does not always relate to central obesity[83] and it cannot differentiate muscle mass from bone and fat mass.[84]

The limitations of these indexes, however, should be considered. For instance, WC is correlated with the amount of intra-abdominal visceral fat, which may be the most detrimental fat depot,[85] it is also associated with subcutaneous abdominal fat and with total body fat.[86,87] In addition, a recent study found that WHtR and BMI are more strongly associated with each other than with percentage of body fat, as determined by air-displacement plethysmography.[88] These associations emphasize the potential problems in using WHtR and BMI as indexes of abdominal and generalized adiposity, respectively. The interpretation of associations with BMI and WHtR is further complicated by the possible relation of disease risk to height,[89] which is in the denominator of both indexes.

Some investigators have suggested that, even if the predictive abilities of WHtR and BMI-for-age are similar, WHtR may be preferred as an indicator of obesity-related risk.[90,91] The concept of a large WC relative to height may be easier to explain than is the division of weight (kg) by the square of height (m2), particularly for those accustomed to using pounds and inches. In addition, because WHtR varies only slightly by age and sex, it is not necessary to express measures as percentiles or z scores, relative to a reference population, as is the case for BMI. The calculation of WHtR is also simpler, requiring only the division of numbers in the same units. Furthermore, the possible use of a single cutoff (0.5) to identify adverse measures among both children and adults[90] would result in a simple public health message of keeping WC to less than half of the height.

In addition, although the reproducibility of WC measurements is high,[92] some investigators have found that it is lower than that of BMI.[88] This difference might limit the ability of WHtR in detecting small changes in obesity-related risk. Furthermore, WC has been measured at numerous sites between the lowest rib and iliac crest, and there are differences between the recommendations of the anthropometric standardization reference manual,[93] the World Health Organization, and the National Institutes of Health.[92] Small changes in the location of the waist measurement can alter associations with the risk factor measures[94,95,96] and possibly with disease risk.

CONCLUSION

Whatever the definition used for abdominal obesity and whatever the methods used for anthropometric measurements, central body fat deposition in children and adolescents increases the risk of cardio-metabolic risk factors. Therefore, more attention should be paid to abdominal obesity of children and adolescents both in clinical practice and in epidemiological studies.

AUTHOR'S CONTRIBUTION

All authors contributed in the study concept and design, assisted in literature review, and drafting the paper. All authors have read the final version of the paper and accept the responsibility for its content.

Footnotes

Source of Support: Nil

Conflict of Interest: None declared.

REFERENCES

  • 1.Ogden CL, Yanovski SZ, Carroll MD. Flegal KM The epidemiology of obesity. Gastroenterology. 2007;132:2087–102. doi: 10.1053/j.gastro.2007.03.052. [DOI] [PubMed] [Google Scholar]
  • 2.Kelishadi R. Childhood overweight, obesity, and the metabolic syndrome in developing countries. Epidemiol Rev. 2007;29:62–76. doi: 10.1093/epirev/mxm003. [DOI] [PubMed] [Google Scholar]
  • 3.Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. Am J Clin Nutr. 2002;75:971–7. doi: 10.1093/ajcn/75.6.971. [DOI] [PubMed] [Google Scholar]
  • 4.Reilly JJ, Methven E, McDowell ZC, Hacking B, Alexander D, Stewart L, et al. Health consequences of obesity. Arch Dis Child. 2003;88:748–52. doi: 10.1136/adc.88.9.748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Srinivasan SR, Myers L, Berenson GS. Predictability of childhood adiposity and insulin for developing insulin resistance syndrome (syndrome X) in young adulthood: The Bogalusa Heart Study. Diabetes. 2002;51:204–9. doi: 10.2337/diabetes.51.1.204. [DOI] [PubMed] [Google Scholar]
  • 6.Mokha JS, Srinivasan SR, Dasmahapatra P, Fernandez C, Chen W, Xu J, 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. doi: 10.1186/1471-2431-10-73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Freedman DS. Determination of body size measures and blood pressure levels among children. J Pediatr (Rio J) 2013;89:211–4. doi: 10.1016/j.jped.2013.03.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Allman-Farinelli MA, King L, Bauman AE. Overweight and obesity from childhood to adulthood: A follow-up of participants in the 1985 Australian Schools Health and Fitness Survey. Comment. Med J Aust. 2007;187:314. doi: 10.5694/j.1326-5377.2007.tb01253.x. [DOI] [PubMed] [Google Scholar]
  • 9.Freedman DS, Dietz WH, Tang R, Mensah GA, Bond MG, Urbina EM, et al. The relation of obesity throughout life to carotid intima-media thickness in adulthood: The Bogalusa Heart Study. Int J Obes. 2003;28:159–66. doi: 10.1038/sj.ijo.0802515. [DOI] [PubMed] [Google Scholar]
  • 10.Eckel RH. Obesity and heart disease: A statement for healthcare professionals from the Nutrition Committee, American Heart Association. Circulation. 1997;96:3248–50. doi: 10.1161/01.cir.96.9.3248. [DOI] [PubMed] [Google Scholar]
  • 11.Freedman DS, Kahn HS, Mei Z, Grummer-Strawn LM, Dietz WH, Srinivasan SR, 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. doi: 10.1093/ajcn/86.1.33. [DOI] [PubMed] [Google Scholar]
  • 12.Larsson B, Svärdsudd K, Welin L, Wilhelmsen L, Björntorp P, Tibblin G. Abdominal adipose tissue distribution, obesity, and risk of cardiovascular disease and death: 13 year follow up of participants in the study of men born in 1913. Br Med J (Clin Res Ed) 1984;288:1401–4. doi: 10.1136/bmj.288.6428.1401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ducimetiere P, Richard J, Cambien F. The pattern of subcutaneous fat distribution in middle-aged men and the risk of coronary heart disease: The Paris Prospective Study. Int J Obes. 1986;10:229–40. [PubMed] [Google Scholar]
  • 14.Dagenais GR, Yi Q, Mann JF, Bosch J, Pogue J, Yusuf S. Prognostic impact of body weight and abdominal obesity in women and men with cardiovascular disease. Am Heart J. 2005;149:54–60. doi: 10.1016/j.ahj.2004.07.009. [DOI] [PubMed] [Google Scholar]
  • 15.Stefan N, Kantartzis K, Machann J, Schick F, Thamer C, Rittig K, et al. Identification and characterization of metabolically benign obesity in humans. Arch Intern Med. 2008;168:1609–16. doi: 10.1001/archinte.168.15.1609. [DOI] [PubMed] [Google Scholar]
  • 16.Colín-Ramírez E, Castillo-Martínez L, Orea-Tejeda A, Villa Romero AR, Vergara Castañeda A, Asensio Lafuente E. Waist circumference and fat intake are associated with high blood pressure in Mexican children aged 8 to 10 years. J Am Diet Assoc. 2009;109:996–1003. doi: 10.1016/j.jada.2009.03.011. [DOI] [PubMed] [Google Scholar]
  • 17.Maffeis C, Banzato C, Talamini G. Obesity Study Group of the Italian Society of Pediatric Endocrinology and Diabetology. Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children. J Pediatr. 2008;152:207–13. doi: 10.1016/j.jpeds.2007.09.021. [DOI] [PubMed] [Google Scholar]
  • 18.Hirschler V, Maccallini G, Aranda C, Molinari C. San Antonio de los Cobres Study Group. Dyslipidemia without obesity in indigenous Argentinean children living at high altitude. J Pediatr. 2012;161:646–51.e1. doi: 10.1016/j.jpeds.2012.04.008. [DOI] [PubMed] [Google Scholar]
  • 19.Benmohammed K, Nguyen MT, Khensal S, Valensi P, Lezzar A. Arterial hypertension in overweight and obese Algerian adolescents: Role of abdominal adiposity. Diabetes Metab. 2011;37:291–7. doi: 10.1016/j.diabet.2010.10.010. [DOI] [PubMed] [Google Scholar]
  • 20.Valerio G, Iafusco D, Zucchini S, Maffeis C. Study-Group on Diabetes of Italian Society of Pediatric Endocrinology and Diabetology (ISPED). Abdominal adiposity and cardiovascular risk factors in adolescents with type 1 diabetes. Diabetes Res Clin Pract. 2012;97:99–104. doi: 10.1016/j.diabres.2012.01.022. [DOI] [PubMed] [Google Scholar]
  • 21.Maffeis C, Banzato C, Brambilla P, Cerutti F, Corciulo N, Cuccarolo G, et al. Insulin resistance is a risk factor for high blood pressure regardless of body size and fat distribution in obese children. Nutr Metab Cardiovasc Dis. 2010;20:266–73. doi: 10.1016/j.numecd.2009.04.005. [DOI] [PubMed] [Google Scholar]
  • 22.Gopinath B, Baur LA, Garnett S, Pfund N, Burlutsky G, Mitchell P. Body mass index and waist circumference are associated with blood pressure in preschool-aged children. Ann Epidemiol. 2011;21:351–7. doi: 10.1016/j.annepidem.2011.02.002. [DOI] [PubMed] [Google Scholar]
  • 23.Griz LH, Viégas M, Barros M, Griz AL, Freese E, Bandeira F. Prevalence of central obesity in a large sample of adolescents from public schools in Recife, Brazil. Arq Bras Endocrinol Metabol. 2010;54:607–11. doi: 10.1590/s0004-27302010000700004. [DOI] [PubMed] [Google Scholar]
  • 24.Kromeyer-Hauschild K, Neuhauser H, Schaffrath Rosario A, Schienkiewitz A. Abdominal obesity in German adolescents defined by waist-to-height ratio and its association to elevated blood pressure: The KiGGS study. Obes Facts. 2013;6:165–75. doi: 10.1159/000351066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ribas SA, Santana da Silva LC. Anthropometric indices: Predictors of dyslipidemia in children and adolescents from north of Brazil. Nutr Hosp. 2012;27:1228–35. doi: 10.3305/nh.2012.27.4.5798. [DOI] [PubMed] [Google Scholar]
  • 26.Kouda K, Nakamura H, Fujita Y, Ohara K, Iki M. Increased ratio of trunk to appendicular fat and increased blood pressure: Study of a general population of Hamamatsu children. Circ J. 2012;76:2848–54. doi: 10.1253/circj.cj-12-0417. [DOI] [PubMed] [Google Scholar]
  • 27.Chen B, Li HF. Waist circumference as an indicator of high blood pressure in preschool obese children. Asia Pac J Clin Nutr. 2011;20:557–62. [PubMed] [Google Scholar]
  • 28.Plourde G. Impact of obesity on glucose and lipid profiles in adolescents at different age groups in relation to adulthood. BMC Fam Pract. 2002;3:18. doi: 10.1186/1471-2296-3-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Hu YH, Reilly KH, Liang YJ, Xi B, Liu JT, Xu DJ, et al. Increase in body mass index, waist circumference and waist-to-height ratio is associated with high blood pressure in children and adolescents in China. J Int Med Res. 2011;39:23–32. doi: 10.1177/147323001103900103. [DOI] [PubMed] [Google Scholar]
  • 30.Da Silva AC, Rosa AA. Blood pressure and obesity of children and adolescents association with body mass index and waist circumference. Arch Latinoam Nutr. 2006;56:244–50. [PubMed] [Google Scholar]
  • 31.Adegboye AR, Andersen LB, Froberg K, Sardinha LB, Heitmann BL. Linking definition of childhood and adolescent obesity to current health outcomes. Int J Pediatr Obes. 2010;5:130–42. doi: 10.3109/17477160903111730. [DOI] [PubMed] [Google Scholar]
  • 32.Juárez-Rojas JG, Cardoso-Saldaña GC, Posadas-Sánchez R, Medina-Urrutia AX, Yamamoto-Kimura L, Posadas-Romero C. Blood pressure and associated cardiovascular risk factors in adolescents of Mexico City. Arch Cardiol Mex. 2008;78:384–91. [PubMed] [Google Scholar]
  • 33.Ghosh JR, Bandyopadhyay AR. Central adiposity and the risk of hypertension in Asian Indian girls. World J Pediatr. 2013;9:256–60. doi: 10.1007/s12519-013-0424-2. [DOI] [PubMed] [Google Scholar]
  • 34.Christofaro DG, Ritti-Dias RM, Fernandes RA, Polito MD, Andrade SM, Cardoso JR, et al. High blood pressure detection in adolescents by clustering overall and abdominal adiposity markers. Arq Bras Cardiol. 2011;96:465–70. doi: 10.1590/s0066-782x2011005000050. [DOI] [PubMed] [Google Scholar]
  • 35.Ribeiro RC, Lamounier JA, Oliveira RG, Bensenor IM, Lotufo PA. Measurements of adiposity and high blood pressure among children and adolescents living in Belo Horizonte. Cardiol Young. 2009;19:436–40. doi: 10.1017/S1047951109990606. [DOI] [PubMed] [Google Scholar]
  • 36.Pausova Z, Mahboubi A, Abrahamowicz M, Leonard GT, Perron M, Richer L, et al. Sex differences in the contributions of visceral and total body fat to blood pressure in adolescence. Hypertension. 2012;59:572–9. doi: 10.1161/HYPERTENSIONAHA.111.180372. [DOI] [PubMed] [Google Scholar]
  • 37.Guimarães IC, de Almeida AM, Santos AS, Barbosa DB, Guimarães AC. Blood pressure: Effect of body mass index and of waist circumference on adolescents. Arq Bras Cardiol. 2008;90:393–9. doi: 10.1590/s0066-782x2008000600007. [DOI] [PubMed] [Google Scholar]
  • 38.Graves L, Garnett SP, Cowell CT, Baur LA, Ness A, Sattar N, et al. Waist-to-height ratio and cardiometabolic risk factors in adolescence: Findings from a prospective birth cohort. Pediatr Obes. 2014;9:327–38. doi: 10.1111/j.2047-6310.2013.00192.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kovacs VA, Gabor A, Fajcsak Z, Martos E. Role of waist circumference in predicting the risk of high blood pressure in children. Int J Pediatr Obes. 2010;5:143–50. doi: 10.3109/17477160903111771. [DOI] [PubMed] [Google Scholar]
  • 40.He Q, Zhang X, He S, Gong L, Sun Y, Heshka S, et al. Higher insulin, triglycerides, and blood pressure with greater trunk fat in Tanner 1 Chinese. Obesity (Silver Spring) 2007;15:1004–11. doi: 10.1038/oby.2007.599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Hacihamdioglu B, Okutan V, Yozgat Y, Yildirim D, Kocaoglu M, Lenk MK, et al. Abdominal obesity is an independent risk factor for increased carotid intima-media thickness in obese children. Turk J Pediatr. 2011;53:48–54. [PubMed] [Google Scholar]
  • 42.Khoury M, Manlhiot C, Dobbin S, Gibson D, Chahal N, Wong H, et al. Role of waist measures in characterizing the lipid and blood pressure assessment of adolescents classified by body mass index. Arch Pediatr Adolesc Med. 2012;166:719–24. doi: 10.1001/archpediatrics.2012.126. [DOI] [PubMed] [Google Scholar]
  • 43.Genovesi S, Antolini L, Giussani M, Pieruzzi F, Galbiati S, Valsecchi MG, et al. Usefulness of waist circumference for the identification of childhood hypertension. J Hypertens. 2008;26:1563–70. doi: 10.1097/HJH.0b013e328302842b. [DOI] [PubMed] [Google Scholar]
  • 44.Turconi G, Maccarini L, Bazzano R, Roggi C. Overweight and blood pressure: Results from the examination of a selected group of adolescents in northern Italy. Public Health Nutr. 2008;11:905–13. doi: 10.1017/S1368980007001255. [DOI] [PubMed] [Google Scholar]
  • 45.Rosini N, Machado MJ, Webster IZ, Moura SA, Cavalcante Lda S, da Silva EL. Simultaneous prediction of hyperglycemia and dyslipidemia in school children in Santa Catarina State, Brazil based on waist circumference measurement. Clin Biochem. 2013;46:1837–41. doi: 10.1016/j.clinbiochem.2013.08.015. [DOI] [PubMed] [Google Scholar]
  • 46.Moser DC, Giuliano Ide C, Titski AC, Gaya AR, Coelho-e-Silva MJ, Leite N. Anthropometric measures and blood pressure in school children. J Pediatr (Rio J) 2013;89:243–9. doi: 10.1016/j.jped.2012.11.006. [DOI] [PubMed] [Google Scholar]
  • 47.Botton J, Heude B, Kettaneh A, Borys JM, Lommez A, Bresson JL, et al. Cardiovascular risk factor levels and their relationships with overweight and fat distribution in children: The Fleurbaix Laventie Ville Santé II study. Metabolism. 2007;56:614–22. doi: 10.1016/j.metabol.2006.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Tadokoro N, Shinomiya M, Yoshinaga M, Takahashi H, Matsuoka K, Miyashita Y, et al. Visceral fat accumulation in Japanese high school students and related atherosclerotic risk factors. J Atheroscler Thromb. 2010;17:546–57. doi: 10.5551/jat.3251. [DOI] [PubMed] [Google Scholar]
  • 49.Juárez-López C, Klünder-Klünder M, Medina-Bravo P, Madrigal-Azcárate A, Mass-Díaz E, Flores-Huerta S. Insulin resistance and its association with the components of the metabolic syndrome among obese children and adolescents. BMC Public Health. 2010;10:318. doi: 10.1186/1471-2458-10-318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Abolfotouh MA, Sallam SA, Mohammed MS, Loutfy AA, Hasab AA. Prevalence of elevated blood pressure and association with obesity in egyptian school adolescents. Int J Hypertens 2011. 2011:952537. doi: 10.4061/2011/952537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Schommer VA, Barbiero SM, Cesa CC, Oliveira R, Silva AD, Pellanda LC. Excess weight, anthropometric variables and blood pressure in schoolchildren aged 10 to 18 years. Arq Bras Cardiol. 2014;102:312–8. doi: 10.5935/abc.20140038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Zhang YX, Wang SR. Comparison of blood pressure levels among children and adolescents with different body mass index and waist circumference: Study in a large sample in Shandong, China. Eur J Nutr. 2014;53:627–34. doi: 10.1007/s00394-013-0571-1. [DOI] [PubMed] [Google Scholar]
  • 53.Lu Q, Iseli TJ, Yin FZ, Ma CM, Liu BW, Lou DH, et al. The relationship between the waist-to-height ratio and glucose and lipid metabolism in Han adolescents. Indian J Pediatr. 2010;77:547–50. doi: 10.1007/s12098-010-0054-9. [DOI] [PubMed] [Google Scholar]
  • 54.Mirkopoulou D, Grammatikopoulou MG, Gerothanasi K, Tagka A, Stylianou C, Hassapidou M. Metabolic indices, energy and macronutrient intake according to weight status in a rural sample of 17-year-old adolescents. Rural Remote Health. 2010;10:1513. [PubMed] [Google Scholar]
  • 55.Hashemipour M, Soghrati M, Malek Ahmadi M, Soghrati M. Anthropometric indices associated with dyslipidemia in obese children and adolescents: A retrospective study in isfahan. ARYA Atheroscler. 2011;7:31–9. [PMC free article] [PubMed] [Google Scholar]
  • 56.Senbanjo IO, Oshikoya KA. Obesity and blood pressure levels of adolescents in Abeokuta, Nigeria. Cardiovasc J Afr. 2012;23:260–4. doi: 10.5830/CVJA-2011-037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Fernandes RA, Christofaro DG, Codogno JS, Buonani C, Bueno DR, Oliveira AR, et al. Proposal of cut points for the indication of abdominal obesity among adolescents. Arq Bras Cardiol. 2009;93:558. doi: 10.1590/s0066-782x2009001200008. [DOI] [PubMed] [Google Scholar]
  • 58.Casonatto J, Ohara D, Christofaro DG, Fernandes RA, Milanez V, Dias DF, et al. High blood pressure and abdominal obesity in adolescents. Rev Paul Pediatr. 2011;29:567–71. [Google Scholar]
  • 59.Christofaro DG, Ritti-Dias RM, Fernandes RA, Polito MD, Andrade SM, Cardoso JR, et al. High blood pressure detection in adolescents by clustering overall and abdominal adiposity markers. Arq Bras Cardiol. 2011;96:465–70. doi: 10.1590/s0066-782x2011005000050. [DOI] [PubMed] [Google Scholar]
  • 60.Pereira PB, Arruda IK, Cavalcanti AM, Diniz Ada S. Lipid profile of schoolchildren from Recife, PE. Arq Bras Cardiol. 2010;95:606–13. doi: 10.1590/s0066-782x2010005000136. [DOI] [PubMed] [Google Scholar]
  • 61.Goldbacher EM, Matthews KA, Salomon K. Central adiposity is associated with cardiovascular reactivity to stress in adolescents. Health Psychol. 2005;24:375–84. doi: 10.1037/0278-6133.24.4.375. [DOI] [PubMed] [Google Scholar]
  • 62.Xu H, Hu X, Zhang Q, Du S, Fang H, Li Y, et al. The Association of hypertension with obesity and metabolic abnormalities among Chinese children. Int J Hypertens 2011. 2011:987159. doi: 10.4061/2011/987159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Al-Sendi AM, Shetty P, Musaiger AO, Myatt M. Relationship between body composition and blood pressure in Bahraini adolescents. Br J Nutr. 2003;90:837–44. doi: 10.1079/bjn2003963. [DOI] [PubMed] [Google Scholar]
  • 64.Chen F, Wang Y, Shan X, Cheng H, Hou D, Zhao X, et al. Association between childhood obesity and metabolic syndrome: Evidence from a large sample of Chinese children and adolescents. PLoS One. 2012;7:e47380. doi: 10.1371/journal.pone.0047380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Boyraz M, Cinaz P, Karaoğlu A, Taşçilar E, Bideci A, Emeksiz HC, et al. The prevalence of metabolic syndrome and its relation to leptin levels in obese children and adolescents. Turkiye Klinikleri J Med Sci. 2013;33:929–35. [Google Scholar]
  • 66.Maffeis C, Pietrobelli A, Grezzani A, Provera S, Tatò L. Waist circumference and cardiovascular risk factors in prepubertal children. Obes Res. 2001;9:179–87. doi: 10.1038/oby.2001.19. [DOI] [PubMed] [Google Scholar]
  • 67.Asayama K, Hayashi K, Hayashibe H, Uchida N, Nakane T, Kodera K, et al. Relationships between an index of body fat distribution (based on waist and hip circumferences) and stature, and biochemical complications in obese children. Int J Obes Relat Metab Disord. 1998;22:1209–16. doi: 10.1038/sj.ijo.0800748. [DOI] [PubMed] [Google Scholar]
  • 68.Agirbasli M, Agaoglu NB, Ergonul O, Yagmur I, Aydogar H, Oneri T, et al. Comparison of anthropometric indices in predicting metabolic syndrome components in children. Metab Syndr Relat Disord. 2011;9:453–9. doi: 10.1089/met.2011.0018. [DOI] [PubMed] [Google Scholar]
  • 69.Mesa JL, Ortega FB, Ruiz JR, Castillo MJ, Tresaco B, Carreño F, et al. Anthropometric determinants of a clustering of lipid-related metabolic risk factors in overweight and non-overweight adolescents — Influence of cardiorespiratory fitness. The Avena study. Ann Nutr Metab. 2006;50:519–27. doi: 10.1159/000098144. [DOI] [PubMed] [Google Scholar]
  • 70.Gröber-Grätz D, Widhalm K, de Zwaan M, Reinehr T, Blüher S, Schwab KO, et al. Body mass index or waist circumference: Which is the better predictor for hypertension and dyslipidemia in overweight/obese children and adolescents? Association of cardiovascular risk related to body mass index or waist circumference. Horm Res Paediatr. 2013;80:170–8. doi: 10.1159/000354224. [DOI] [PubMed] [Google Scholar]
  • 71.Almas A, Jafar TH. Adiposity and blood pressure in South Asian children and adolescents in Karachi. Am J Hypertens. 2011;24:876–80. doi: 10.1038/ajh.2011.67. [DOI] [PubMed] [Google Scholar]
  • 72.Leung LC, Sung RY, So HK, Wong SN, Lee KW, Lee KP, et al. Prevalence and risk factors for hypertension in Hong Kong Chinese adolescents: Waist circumference predicts hypertension, exercise decreases risk. Arch Dis Child. 2011;96:804–9. doi: 10.1136/adc.2010.202770. [DOI] [PubMed] [Google Scholar]
  • 73.Ke L, Brock KE, Cant RV, Li Y, Morrell SL. The relationship between obesity and blood pressure differs by ethnicity in Sydney school children. Am J Hypertens. 2009;22:52–8. doi: 10.1038/ajh.2008.308. [DOI] [PubMed] [Google Scholar]
  • 74.Genovesi S, Antolini L, Giussani M, Brambilla P, Barbieri V, Galbiati S, et al. Hypertension, prehypertension, and transient elevated blood pressure in children: Association with weight excess and waist circumference. Am J Hypertens. 2010;23:756–61. doi: 10.1038/ajh.2010.50. [DOI] [PubMed] [Google Scholar]
  • 75.L’Allemand-Jander D. Clinical diagnosis of metabolic and cardiovascular risks in overweight children: Early development of chronic diseases in the obese child. Int J Obes (Lond) 2010;34(Suppl 2):S32–6. doi: 10.1038/ijo.2010.237. [DOI] [PubMed] [Google Scholar]
  • 76.Hirschler V, Ruiz A, Romero T, Dalamon R, Molinari C. Comparison of different anthropometric indices for identifying insulin resistance in schoolchildren. Diabetes Technol Ther. 2009;11:615–21. doi: 10.1089/dia.2009.0026. [DOI] [PubMed] [Google Scholar]
  • 77.Lung NH, Institute B. Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III): Final report. Circulation. 2002;106:3143. [PubMed] [Google Scholar]
  • 78.Brambilla P, Bedogni G, Moreno LA, Goran MI, Gutin B, Fox KR, et al. Crossvalidation of anthropometry against magnetic resonance imaging for the assessment of visceral and subcutaneous adipose tissue in children. Int J Obes (Lond) 2006;30:23–30. doi: 10.1038/sj.ijo.0803163. [DOI] [PubMed] [Google Scholar]
  • 79.Prentice AM, Jebb SA. Beyond body mass index. Obes Rev. 2001;2:141–7. doi: 10.1046/j.1467-789x.2001.00031.x. [DOI] [PubMed] [Google Scholar]
  • 80.Freedman DS, Wang J, Maynard LM, Thornton JC, Mei Z, Pierson RN, et al. Relation of BMI to fat and fat-free mass among children and adolescents. Int J Obes (Lond) 2005;29:1–8. doi: 10.1038/sj.ijo.0802735. [DOI] [PubMed] [Google Scholar]
  • 81.McCarthy HD, Ellis SM, Cole TJ. Central overweight and obesity in British youth aged 11-16 years: Cross sectional surveys of waist circumference. BMJ. 2003;326:624. doi: 10.1136/bmj.326.7390.624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, et al. 2000 CDC Growth Charts for the United States: Methods and development. Vital Health Stat Series 11. 2002;246:1–190. [PubMed] [Google Scholar]
  • 83.Neovius M, Rasmussen F. Evaluation of BMI-based classification of adolescent overweight and obesity: Choice of percentage body fat cutoffs exerts a large influence. The COMPASS study. Eur J Clin Nutr. 2008;62:1201–7. doi: 10.1038/sj.ejcn.1602846. [DOI] [PubMed] [Google Scholar]
  • 84.Hall DM, Cole TJ. What use is the BMI? Arch Dis Child. 2006;91:283–6. doi: 10.1136/adc.2005.077339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Després JP. Is visceral obesity the cause of the metabolic syndrome? Ann Med. 2006;38:52–63. doi: 10.1080/07853890500383895. [DOI] [PubMed] [Google Scholar]
  • 86.Lean ME, Han TS, Deurenberg P. Predicting body composition by densitometry from simple anthropometric measurements. Am J Clin Nutr. 1996;63:4–14. doi: 10.1093/ajcn/63.1.4. [DOI] [PubMed] [Google Scholar]
  • 87.Molarius A, Seidell JC. Selection of anthropometric indicators for classification of abdominal fatness — A critical review. Int J Obes Relat Metab Disord. 1998;22:719–27. doi: 10.1038/sj.ijo.0800660. [DOI] [PubMed] [Google Scholar]
  • 88.Bosy-Westphal A, Geisler C, Onur S, Korth O, Selberg O, Schrezenmeir J, et al. Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors. Int J Obes (Lond) 2006;30:475–83. doi: 10.1038/sj.ijo.0803144. [DOI] [PubMed] [Google Scholar]
  • 89.Hebert PR, Rich-Edwards JW, Manson JE, Ridker PM, Cook NR, O’Connor GT, et al. Height and incidence of cardiovascular disease in male physicians. Circulation. 1993;88:1437–43. doi: 10.1161/01.cir.88.4.1437. [DOI] [PubMed] [Google Scholar]
  • 90.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;56:303–7. doi: 10.1080/09637480500195066. [DOI] [PubMed] [Google Scholar]
  • 91.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 Obes (Lond) 2006;30:988–92. doi: 10.1038/sj.ijo.0803226. [DOI] [PubMed] [Google Scholar]
  • 92.Wang J, Thornton JC, Bari S, Williamson B, Gallagher D, Heymsfield SB, et al. Comparisons of waist circumferences measured at 4 sites. Am J Clin Nutr. 2003;77:379–84. doi: 10.1093/ajcn/77.2.379. [DOI] [PubMed] [Google Scholar]
  • 93.Lohman TG, Roche AF, Martorell R. Anthropometric Standardization Reference Manual. Human Kinetics Pub, the University of Michigan. 1988 [Google Scholar]
  • 94.Seidell JC, Cigolini M, Charzewska J, Ellsinger BM, Deslypere JP, Cruz A. Fat distribution in European men: A comparison of anthropometric measurements in relation to cardiovascular risk factors. Int J Obes Relat Metab Disord. 1992;16:17–22. [PubMed] [Google Scholar]
  • 95.Jakicic JM, Donnelly JE, Jawad AF, Jacobsen DJ, Gunderson SC, Pascale R. Association between blood lipids and different measures of body fat distribution: Effects of BMI and age. Int J Obes Relat Metab Disord. 1993;17:131–7. [PubMed] [Google Scholar]
  • 96.Houmard JA, Wheeler WS, McCammon MR, Wells JM, Truitt N, Hamad SF, et al. An evaluation of waist to hip ratio measurement methods in relation to lipid and carbohydrate metabolism in men. Int J Obes. 1991;15:181–8. [PubMed] [Google Scholar]

Articles from Journal of Research in Medical Sciences : The Official Journal of Isfahan University of Medical Sciences are provided here courtesy of Wolters Kluwer -- Medknow Publications

RESOURCES