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Prevalence of different metabolic phenotypes of obesity in Iranian children and adolescents: the CASPIAN V study

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Abstract

Background

Pediatric metabolic disorders are a major health problem. The prevalence of child and adolescent metabolic disorders particularly obesity has globally shown a growing pattern. The aims of this study were to estimate the prevalence of different metabolic phenotypes of obesity in children and adolescents.

Methods

This multi-centric cross-sectional study was conducted in 2015 in 30 provinces of Iran. Participants consisted of 4200 school students aged 7–18 years, studied in a national school-based surveillance program (CASPIAN- V) in Iran. Metabolic syndrome (MetS) and obesity was defined according to ATP III and WHO criteria respectively. Subjects were classified into four different metabolic phenotypes of obesity; metabolically healthy nonobese (MHNO), metabolically healthy obese (MHO), metabolically non-healthy non-obese (MNHNO) and metabolically non-healthy obese (MNHO). Moreover students were classified in four different phenotypes of obesity; normal; only abdominal obesity (AO), only generalized obesity (GO) and combined obesity (CO).

Results

The prevalence (95% confidence interval) of different metabolic phenotypes of obesity, MHO 10.35 (9.1, 11.8), MNHNO 3.31 (2.6, 4.2) and MNHO 2.19 (1.6, 2.9) was found in boys, while the prevalence of these phenotypes was significantly lower in girls (7.74 (6.6, 9.1), 3.11 (2.4,5.1) and 1.41 (0.9,2.1) respectively). The prevalence of only AO, only GO and CO was 12.17% (11.6, 12.7), 2.51% (2.3,2.8), and 8.86% (8.4,9.3), respectively. Based on gender differences, the prevalence of AO was significantly higher among girls than boys (12.4% of girls vs. 11.9% of boys).

Conclusions

Healthy lifestyle education and program interventions are necessary for children with different metabolic phenotypes of obesity, as there is a high probability that they may suffer from poor health in the future.

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References

  1. Danese A, Tan M. Childhood maltreatment and obesity: systematic review and meta-analysis. Mol Psychiatry. 2014;19:544–54.

    Article  PubMed  CAS  Google Scholar 

  2. Sarrafzadegan N, Gharipour M, Sadeghi M, Nouri F, Asgary S, Zarfeshani S. Differences in the prevalence of metabolic syndrome in boys and girls based on various definitions. ARYA Atherosclerosis Journal. 2013;9:70–6.

    Google Scholar 

  3. Cadenas-Sanchez C, Ruiz JR, Labayen I, Huybrechts I, Manios Y, González-Gross M, et al. Prevalence of metabolically healthy but overweight/obese phenotype and its association with sedentary time, physical activity, and fitness. J Adolesc Health. 2017;61:107e14.

    Google Scholar 

  4. Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA. 2013;309:71e82.

    Google Scholar 

  5. Ahmadi A, Gharipour M, Nouri F, Kelishadi R, Sadeghi M, Sarrafzadegan N. Association between adolescence obesity and metabolic syndrome: evidence from Isfahan healthy heart program. Indian Journal of Endocrinology and Metabolism. 2014;18(4):569–73.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Khashayar P, Heshmat R, Qorbani M, Motlagh ME, Aminaee T, Ardalan G. Metabolic syndrome and cardiovascular risk factors in a national sample of adolescent population in the Middle East and North Africa: the CASPIAN III study. Int J Endocrinol. 2013;2013:702095.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Keihani S, Hosseinpanah F, Barzin M, Serahati S, Doustmohamadian S, Azizi F. Abdominal obesity phenotypes and risk of cardiovascular disease in a decade of follow-up: the Tehran lipid and glucose study. Atherosclerosis. 2015;238:256e63.

    Article  CAS  Google Scholar 

  8. Ramachandran A, Snehalatha C, Yamuna A, Murugesan N, Narayan KM. Insulin resistance and clustering of cardiometabolic risk factors in urban teenagers in southern India. Diabetes Care. 2007;30:1828–33.

    Article  PubMed  CAS  Google Scholar 

  9. Kelishadi R, Cook SR, Motlagh ME, Gouya MM, Ardalan G, Motaghian M. Metabolically obese normal weight and phenotypically obese metabolically normal youths: the CASPIAN study. J Am Diet Assoc. 2008;108:82–90.

    Article  PubMed  CAS  Google Scholar 

  10. Li YP, Yang XG, Zhai FY, Piao JH, Zhao WH, Zhang J, et al. Disease risks of childhood obesity in China. Biomed Environ Sci. 2005;18:401–10.

  11. Chen F, Wang Y, Shan X, Cheng H, Hou D. Association between childhood obesity and metabolic syndrome: evidence from a large sample of Chinese children and adolescents. PLoS One. 2012;7(10):e47380.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Ataie-Jafari A, Heshmat R, Kelishadi R, Ardalan G, Mahmoudarabi M, Rezapoor A, et al. Generalized or abdominal obesity: which one better identifies Cardiometabolic risk factors among children and adolescents? The CASPIAN III study. J Trop Pediatr. 2014;60(5):377–85.

  13. Kelishadi R, Ardalan G, Qorbani M, Ataie-Jafari A, Bahreynian M, Taslimi M, et al. Methodology and early findings of the fourth survey of childhood and adolescence surveillance and prevention of adult non-communicable disease in Iran: the CASPIAN-IV study. Int J Prev Med. 2013;4(12):1451–60.

  14. Motlagh ME, Ziaodini H, Qorbani M, Taheri M, Aminaei T, Goodarzi A, et al. Methodology and early findings of the fifth survey of childhood and adolescence surveillance and prevention of adult noncommunicable disease: the Caspian-v study. Int J Prev Med. 2017;8.

  15. Group WMGRS. WHO Child Growth Standards based on length/height, weight and age. Acta paediatrica (Oslo, Norway: 1992) Supplement. 2006;450:76.

  16. Kelishadi R, Majdzadeh R, Motlagh M-E, Heshmat R, Aminaee T, Ardalan G, et al. Development and evaluation of a questionnaire for assessment of determinants of weight disorders among children and adolescents: the Caspian-IV study. Int J Prev Med. 2012;3(10):699–705.

  17. Organization WH. Physical status: the use of and interpretation of anthropometry, report of a WHO expert committee. 1995.

  18. Pediatrics AAo. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. Pediatrics. 2004;114(Supplement 2):iv–v.

  19. McNamara J, Schaefer E. Automated enzymatic standardized lipid analyses for plasma and lipoprotein fractions. Clin Chim Acta; international journal of clinical chemistry. 1987;166(1):1.

    Article  PubMed  CAS  Google Scholar 

  20. Friedewald W, Levy R, Fredrickson D. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18(6):499–502.

    PubMed  CAS  Google Scholar 

  21. Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, Arslanian S, et al. The metabolic syndrome in children and adolescents. Lancet (London, England). 2007;369(9579):2059.

    Article  Google Scholar 

  22. Falkner B. Hypertension in children and adolescents: epidemiology and natural history. Pediatr Nephrol (Berlin, Germany). 2010;25(7):1219.

    Article  Google Scholar 

  23. Zamrazilova H, Weiss R, Hainer V, Aldhoon-Hainerova I. Increased cardiometabolic risk in boys is related to an earlier onset and a longer duration of obesity. J Clin Endocrinol Metab. 2016;101:3088–95.

    Article  PubMed  CAS  Google Scholar 

  24. Rhee EJ, Lee MK, Kim JD, Jeon WS, Bae JC. Metabolic health is a more important determinant for diabetes development than simple obesity: a 4-year retrospective longitudinal study. PLoS One. 2014;9(5):e98369.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  25. Karandish M, Hosseinpour M, Rashidi H, Latifi SM, Aleali AM. Comparison of components of metabolic syndrome among metabolically obese Normal weight, metabolically benign Normal weight, and metabolically abnormal obese Iranian children and adolescents in Ahvaz. Journal of Nutrition And Food Security. 2016;1(1):9–16.

    Google Scholar 

  26. Kelishadi R, Hashemipour M, Sarrafzadegan N, Mohammadifard N, Alikhasy H, Beizaei M, et al. Effects of a lifestyle modification trial among phenotypically obese metabolically normal and phenotypically obese metabolically abnormal adolescents in comparison with phenotypically normal metabolically obese adolescents. Matern Child Nutr. 2010;6:275–86.

  27. Shaharyar S, Roberson LL, Jamal O, Younus A, Blaha MJ, Ali SS, et al. Obesity and Metabolic Phenotypes (Metabolically Healthy and Unhealthy Variants) Are Significantly Associated with Prevalence of Elevated C - reactive protein and Hepatic Steatosis in a Large Healthy Brazilian Population. J Obes. 2015;2015:178526.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Rolland-Cachera MF, Péneau S. Growth trajectories associated with adult obesity. World Rev Nutr Diet. 2013;106:127–34.

    PubMed  Google Scholar 

  29. Camhi SM, Waring ME, Sisson SB. Physical activity and screen time in metabolically healthy obese phenotypes in adolescents and adults. J Obes. 2013;2013:984613.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Pataky Z, Makoundou V, Nilsson P, Gabriel RS, Lalic K, Muscelli E, et al. Metabolic normality in overweight and obese subjects. Which parameters? Which risks? Int J Obes. 2011;35:1208–15.

    Article  CAS  Google Scholar 

  31. Marini MA, Succurro E, Frontoni S, Hribal ML, Andreozzi F, Lauro R, et al. Metabolically healthy but obese women have an intermediate cardiovascular risk profile between healthy nonobese women and obese insulin-resistant women. Diabetes Care. 2007;30:2145–7.

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Acknowledgments

The authors are thankful of all participants and large team working on this project in different provinces.

Funding

Data of a national surveillance program were used for this study.

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Authors and Affiliations

Authors

Corresponding authors

Correspondence to Mostafa Qorbani or Roya Kelishadi.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Research and Ethics Council of Isfahan University of Medical Sciences (Project number: 194049). After explaining the objectives and protocols of the study, written informed consent and verbal consent were obtained from all the children and adolescents, respectively.

Conflicts of interest

There are no conflicts of interest.

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Heshmat, R., Hemati, Z., Payab, M. et al. Prevalence of different metabolic phenotypes of obesity in Iranian children and adolescents: the CASPIAN V study. J Diabetes Metab Disord 17, 211–221 (2018). https://doi.org/10.1007/s40200-018-0363-5

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  • DOI: https://doi.org/10.1007/s40200-018-0363-5

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