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Journal of Pediatric Endocrinology and Metabolism

Editor-in-Chief: Kiess, Wieland

Ed. by Bereket, Abdullah / Darendeliler, Feyza / Dattani, Mehul / Gustafsson, Jan / Luo, Fei Hong / Mericq, Veronica / Ogata, Tsutomu / Toppari, Jorma

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Volume 30, Issue 2

Issues

Prevalence, risk factors and consequences of overweight and obesity among schoolchildren: a cross-sectional study in Kashmir, India

Mohd Ashraf Ganie
  • Corresponding author
  • Department of Endocrinology, Metabolism and Diabetes, All India Institute of Medical Sciences, New Delhi, India
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Gulzar Ahmad Bhat
  • Advanced Centre for Human Genetics, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, India
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  • De Gruyter OnlineGoogle Scholar
/ Ishfaq Ahmad Wani
  • Advanced Centre for Human Genetics, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, India
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  • De Gruyter OnlineGoogle Scholar
/ Aafia Rashid
  • Advanced Centre for Human Genetics, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, India
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Showkat Ali Zargar / Bashir Ahmad Charoo / Zaffar Amin Shah
  • Immunology and Molecular Medicine, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, India
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Syed Mudassar
Published Online: 2017-01-18 | DOI: https://doi.org/10.1515/jpem-2016-0133

Abstract

Background:

Obesity among children and adolescents is a growing public health problem. The objective of this study was to evaluate the prevalence, risk factors and metabolic consequences of obesity among schoolchildren from Kashmir, India.

Methods:

The study subjects (n=2024) included 870 boys and 1154 girls, aged between 6 and 18 years. Data were collected by interviewer-administered questionnaires. Information was obtained about different lifestyles, anthropometric parameters and dietary habits. Obesity was defined as body mass index (BMI) percentile as per the guidelines of Centers for Disease Control, 2000. For the evaluation of different clinical parameters, blood samples were collected from the subjects in the fasting state at 8 to 9 am after an overnight (10–12 h) fast.

Results:

The highest representation of subjects was from fee-paying private schools. Out of the total subjects, 6.69% were overweight and 4.64% were obese. The hip circumference, abdominal circumference, BMI, blood pressure (BP), use of ready-made foods as well as the clinical parameters like glucose, phosphorous, cholesterol and triglycerides were found significantly higher among girls than boys (p<0.05). Boys were taller and were physically more active than girls (p<0.01). Compared to the boys (3.33%), the girls were found to be more obese (5.63%). Rural dwelling subjects (4.22%) exhibited a lower percentage of obesity than urban population (5.00%). The difference in obesity among the different age groups was found statistically significant (p<0.05). Additionally, children with active lives in the form of vigorous (10.59%) or moderate (10.34%) exercise decreased their chances of gaining weight substantially.

Conclusions:

Results from the present study have shown that prevalence of obesity among children was high in our population.

Keywords: body mass index (BMI); Kashmir; metabolic syndrome; obesity; overweight; schoolchildren

References

  • 1.

    WHO. Report of a WHO consultation on obesity. Preventing and managing the global epidemic, 1998.Google Scholar

  • 2.

    Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organization technical report series, 2000;894:i-xii, 1–253.Google Scholar

  • 3.

    Gupta N, Shah P, Nayyar S, Misra A. Childhood obesity and the metabolic syndrome in developing countries. Indian J Pediatr 2013;80(Suppl 1):S28–37.Google Scholar

  • 4.

    Martin L, Oepen J, Reinehr T, Wabitsch M, Claussnitzer G, et al. Ethnicity and cardiovascular risk factors: evaluation of 40,921 normal-weight, overweight or obese children and adolescents living in Central Europe. Int J Obes (Lond) 2015;39:45–51.Google Scholar

  • 5.

    Perez-Escamilla R, Hospedales J, Contreras A, Kac G. Education for childhood obesity prevention across the life-course: workshop conclusions. Int J Obes Suppl 2013;3(Suppl 1):S18–S9.Google Scholar

  • 6.

    Reilly JJ. Obesity in childhood and adolescence: evidence based clinical and public health perspectives. Postgrad Med J 2006;82:429–37.Google Scholar

  • 7.

    Stevens GA, Singh GM, Lu Y, Danaei G, Lin JK, et al. Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Body Mass Index). National, regional, and global trends in adult overweight and obesity prevalences. Popul Health Metr 2012;10:22.Google Scholar

  • 8.

    Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: public-health crisis, common sense cure. Lancet 2002;360:473–82.Google Scholar

  • 9.

    Hakala P, Rissanen A, Koskenvuo M, Kaprio J, Ronnemaa T. Environmental factors in the development of obesity in identical twins. Int J Obes Relat Metab Disord 1999;23:746–53.Google Scholar

  • 10.

    Allamani A. Addiction, risk, and resources. Subst Use Misuse 2007;42:421–39.Google Scholar

  • 11.

    Fister K. Junk food advertising contributes to young Americans’ obesity. Br Med J 2005;331:1426.Google Scholar

  • 12.

    Printice AM, Jebb SA. Fast foods, energy density and obesity: a possible mechanistic link. Obesity Rev 2003;4:187–94.Google Scholar

  • 13.

    Qi Z, Ding S. Obesity-associated sympathetic overactivity in children and adolescents: the role of catecholamine resistance in lipid metabolism. J Pediatr Endocrinol Metab 2016;29:113–25.Google Scholar

  • 14.

    Kalra S, Unnikrishnan A. Obesity in India: the weight of the nation. J Med Nutr Nutraceut 2012;1:37–41.Google Scholar

  • 15.

    Masse LC, de Niet-Fitzgerald JE, Watts AW, Naylor PJ, Saewyc EM. Associations between the school food environment, student consumption and body mass index of Canadian adolescents. Int J Behav Nutr Phys Act 2014;11:29.Google Scholar

  • 16.

    Kotecha PV, Patel SV, Baxi RK, Mazumdar VS, Shobha M, et al. Dietary pattern of schoolgoing adolescents in urban Baroda, India. J Health Popul Nutr 2013;31:490–6.Google Scholar

  • 17.

    Bridges KG, Jarrett T, Thorpe A, Baus A, Cochran J. Use of the triglyceride to HDL cholesterol ratio for assessing insulin sensitivity in overweight and obese children in rural Appalachia. J Pediatr Endocrinol Metab 2016;29:153–6.Google Scholar

  • 18.

    Caminiti C, Armeno M, Mazza CS. Waist-to-height ratio as a marker of low-grade inflammation in obese children and adolescents. J Pediatr Endocrinol Metab 2016;29:543–51.Google Scholar

  • 19.

    BM P. The nutrition transition and obesity in the developing world. J Nutr 2001;131:871S-3.Google Scholar

  • 20.

    Sanders T, Feng X, Fahey PP, Lonsdale C, Astell-Burt T. Green space and child weight status: does outcome measurement matter? Evidence from an Australian Longitudinal Study. J Obes 2015;2015:194838.Google Scholar

  • 21.

    Goyal RK, Shah V, Saboo BD, Phatak SR, Shah NN, et al. Prevalence of overweight and obesity in indian adolescent school going children: its relationship with socioeconomic status and associated lifestyle factors. J Assoc Physicians India 2010;58:151–8.Google Scholar

  • 22.

    Mistry SK, Puthussery S. Risk factors of overweight and obesity in childhood and adolescence in South Asian countries: a systematic review of the evidence. Public Health 2015;129:200–9.Google Scholar

  • 23.

    Casonatto J, Fernandes RA, Batista MB, Cyrino ES, Coelho ESMJ, et al. Association between health-related physical fitness and body mass index status in children. J Child Health Care 2016;20:294–303.Google Scholar

  • 24.

    Mohan V, Jaydip R, Deepa R. Type 2 diabetes in Asian Indian youth. Pediatr Diabetes 2007;8(Suppl 9):28–34.Google Scholar

  • 25.

    Velasquez-Mieyer P, Perez-Faustinelli S, Cowan PA. Identifying children at risk for obesity, type 2 diabetes, and cardiovascular disease. Diabetes Spectrum 2005;18:213–20.Google Scholar

  • 26.

    Chatterjee P. India sees parallel rise in malnutrition and obesity. Lancet 2002;360:1948.Google Scholar

  • 27.

    Caballero B. A nutrition paradox–underweight and obesity in developing countries. N Engl J Med 2005;352:1514–6.Google Scholar

  • 28.

    Wright CM. Which threshold should India use to define childhood obesity and how much does it matter? Indian Pediatr 2011;48:103–4.Google Scholar

  • 29.

    Ahmad QI, Ahmad CB, Ahmad SM. Childhood obesity. Indian J Endocrinol Metab 2010;14:19–25.Google Scholar

  • 30.

    Andrabi SM, Bhat MH, Andrabi SR, Kamili MM, Imran A, et al. Prevalence of metabolic syndrome in 8–18-year-old school-going children of Srinagar city of Kashmir India. Indian J Endocrinol Metab 2013;17:95–100.Google Scholar

  • 31.

    Eston R, Reilly T. Kinanthropometry and exercise physiology laboratory manual: anthropometry, Volume 1: London and New York: Taylor & Francis, 2009.Google Scholar

  • 32.

    Dudala SR, Arlappa N. An updated Prasad’s socio economic status classification for 2013. Int J Res Dev Health 2013;1:26–8.Google Scholar

  • 33.

    Gonzalez-Casanova I, Sarmiento OL, Gazmararian JA, Cunningham SA, Martorell R, et al. Comparing three body mass index classification systems to assess overweight and obesity in children and adolescents. Rev Panam Salud Publica 2013;33:349–55.Google Scholar

  • 34.

    The International Association for the Study of Obesity and the International Obesity TF. The Asia-Pacific perspective: redefining obesity and its treatment. Australia: IASO and IOTF, 2000.Google Scholar

  • 35.

    Chhatwal J, Verma M, Riar SK. Obesity among pre-adolescent and adolescents of a developing country (India). Asia Pac J Clin Nutr 2004;13:231–5.Google Scholar

  • 36.

    Kapil U, Singh P, Pathak P, Dwivedi SN, Bhasin S. Prevalence of obesity amongst affluent adolescent school children in delhi. Indian Pediatr 2002;39:449–52.Google Scholar

  • 37.

    Khadilkar VV, Khadilkar AV. Prevalence of obesity in affluent school boys in Pune. Indian Pediatr 2004;41:857–8.Google Scholar

  • 38.

    Marwaha RK, Tandon N, Singh Y, Aggarwal R, Grewal K, Mani K. A study of growth parameters and prevalence of overweight and obesity in school children from delhi. Indian Pediatr 2006;43:943–52.Google Scholar

  • 39.

    Ramachandran A, Snehalatha C, Vinitha R, Thayyil M, Kumar CK, et al. Prevalence of overweight in urban Indian adolescent school children. Diabetes Res Clin Pract 2002;57:185–90.Google Scholar

  • 40.

    Vohra R, Bhardwaj P, Srivastava JP, Srivastava S, Vohra A. Overweight and obesity among school-going children of Lucknow city. J Family Community Med 2011;18:59–62.Google Scholar

  • 41.

    Gupta DK, Shah P, Misra A, Bharadwaj S, Gulati S, et al. Secular trends in prevalence of overweight and obesity from 2006 to 2009 in urban Asian Indian adolescents aged 14–17 years. PLoS One 2011;6:17221.Google Scholar

  • 42.

    Deoke A, Hajare S, Saoji A. Prevalence of overweight in high school students with special reference to cardiovascular efficiency. Glob J Health Sci 2012;4:147–52.Google Scholar

  • 43.

    Ranjani H, Pradeepa R, Mehreen TS, Anjana RM, Anand K, et al. Determinants, consequences and prevention of childhood overweight and obesity: an Indian context. Indian J Endocrinol Metab 2014;18:S17–25.Google Scholar

  • 44.

    Oduwole AA, Ladapo TA, Fajolu IB, Ekure EN, Adeniyi OF. Obesity and elevated blood pressure among adolescents in Lagos, Nigeria: a cross-sectional study. BMC Public Health 2012;12:616.Google Scholar

  • 45.

    Rao S, Kanade A, Kelkar R. Blood pressure among overweight adolescents from urban school children in Pune, India. Eur J Clin Nutr 2007;61:633–41.Google Scholar

  • 46.

    Fraser LK, Clarke G, Cade JE, Edwards KL. Fast food and obesity: a spatial analysis in a large United Kingdom population of children aged 13–15. Am J Prev Med 2012;4:77–85.Google Scholar

  • 47.

    Maher C, Olds T, Eisenmann JC, Dollman J. Screen time is more strongly associated than physical activity with overweight and obesity in 9- to 16-year-old Australians. Acta Paediatr 2012;101:1170–4.Google Scholar

  • 48.

    Shan XY, Xi B, Cheng H, Hou DQ, Wang Y, et al. Prevalence and behavioral risk factors of overweight and obesity among children aged 2–18 in Beijing, China. Int J Pediatr Obes 2010;5:383–9.Google Scholar

  • 49.

    Babinska K, Kovacs L, Janko V, Dallos T, Feber J. Association between obesity and the severity of ambulatory hypertension in children and adolescents. J Am Soc Hypertens 2012;6:356–63.Google Scholar

  • 50.

    Buch N, Goyal J, Kumar N, Parmar I, Shah VB, et al. Prevalence of hypertension in school going children of Surat city, Western India. J Cardiovasc Dis Res 2011;2:228–32.Google Scholar

  • 51.

    Chakraborty P, Dey S, Pal R, Kar S, Zaman FA, et al. Obesity in Kolkata children: magnitude in relationship to hypertension. J Nat Sci Biol Med 2011;2:101–6.Google Scholar

  • 52.

    Jain S, Pant B, Chopra H, Tiwari R. Obesity among adolescents of affluent public schools in Meerut. Indian J Public Health 2010;54:158–60.Google Scholar

  • 53.

    Lu X, Shi P, Luo CY, Zhou YF, Yu HT, et al. Prevalence of hypertension in overweight and obese children from a large schoolbased population in Shanghai, China. BMC Public Health 2013:13:24.Google Scholar

  • 54.

    Musaiger AO, Al-Mannai M, Zagzoog N. Association between food intake frequency and obesity among adolescent girls in Saudi Arabia. Int J Adolesc Med Health 2014;26:145–7.Google Scholar

  • 55.

    Fareed M, Afzal M. Estimating the inbreeding depression on cognitive behavior: a population based study of child cohort. PLoS One 2014;9:e109585.Google Scholar

  • 56.

    Fareed M, Afzal M. Evidence of inbreeding depression on height, weight, and body mass index: a population-based child cohort study. Am J Hum Biol 2014;26:784–95.Google Scholar

  • 57.

    Bhat GA, Shah IA, Rafiq R, Nabi S, Iqbal B, et al. Family history of cancer and the risk of squamous cell carcinoma of oesophagus: a case-control study in Kashmir, India. Br J Cancer 2015;113:524–32.Google Scholar

  • 58.

    Wu M, Zhang ZF, Kampman E, Zhou JY, Han RQ, et al. Does family history of cancer modify the effects of lifestyle risk factors on esophageal cancer? A population-based case-control study in China. Int J Cancer 2011;128:2147–57.Google Scholar

About the article

Corresponding author: Dr. Mohd Ashraf Ganie, Department of Endocrinology, Metabolism and Diabetes, All India Institute of Medical Sciences, New Delhi, India, Phone: +91-1126593968, +91-9419041546


Received: 2016-04-05

Accepted: 2016-12-01

Published Online: 2017-01-18

Published in Print: 2017-02-01


Author contributions: All the authors have accepted responsibility for the entire content of this submitted article and approved submission.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.


Citation Information: Journal of Pediatric Endocrinology and Metabolism, Volume 30, Issue 2, Pages 203–209, ISSN (Online) 2191-0251, ISSN (Print) 0334-018X, DOI: https://doi.org/10.1515/jpem-2016-0133.

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