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Determination of Risk Factors Associated with Childhood Obesity and the Correlation with Adult Obesity- A Random Cross Sectional Study from Nepal

Received: 23 July 2014    Accepted: 6 August 2014    Published: 20 August 2014
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Abstract

Background: Obesity is a global problem that is rising at an astounding rate. The children and adolescent obesity are the burning issues. Body mass index (BMI) also called Quetelet Index (initially described by Quetelet in 1869), has become the measurement of choice to measure overweight and obesity in adults. To date there is no information on the extent of affliction due to overweight and obesity among children and their associated risk factors in Nepal. Objectives: The study was undertaken to find out if dietary, behavioral and physical factors contributed to risk of obesity in Nepalese children and adolescents around Kathmandu valley and to find out the association between childhood obesity with parental obesity. Methods: The study was conducted among subjects aged 5-19 years at four different locations; Lalitpur, Thimi, Kushadevi and Dhulikhel, Nepal. A total of 324 children and their 648 parents (324 father and mother each) participated in the study. Body Mass Index (BMI) was calculated according to the World Health Organization (WHO) criteria for all participants. Variables relation to socioeconomic status, dietary habits, physical factors and emotional well being were determined using a self-administered questionnaire. Results: As determined with the help of BMI, the factors like socioeconomic status and sedentary lifestyle were found to contribute to various conditions like obesity, underweight and overweight in children of various ages, although, prevalence of obesity was low compared to the other conditions. Also BMI of children was found to be positively and significantly correlated with father’s and mother's BMI indicating its importance as a marker in progression of such health conditions in children. Conclusions: BMI proved to be a reliable indicator of adverse health conditions like obesity in Nepalese children and could contribute to understanding the role of the various risk factors of dietary, social and physical nature in the development of these conditions.

Published in American Journal of Health Research (Volume 2, Issue 4)
DOI 10.11648/j.ajhr.20140204.15
Page(s) 134-139
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Obesity, BMI, Underweight, Overweight

References
[1] Park K. Park's Textbook of Preventive and Social Medicine. 17th edition. India: M/s Banarsidas Bhanot Publishers; 2002. Obesity; p.298.
[2] Abhinav Vaidya, Suraj Shakya and Alexandra Krettek. Obesity Prevalence in Nepal: Public Health Challenges in a Low-Income Nation during an Alarming Worldwide Trend. Int J Environ Res Public Health. 2010 June; 7(6): 2726–2744.
[3] Institute of Medicine, National Academy of Sciences. Nutrition During Pregnancy. Washington, DC: National Academy Press; 1990.
[4] Curhan GC, Willett WC, Spiegelman D, Colditz GA, et al. Birth weight and adult hypertension and obesity in women. Circulation. 1996; 94:1310 –5.
[5] Champe Pamela C, Harvey Richard A. Lippincott's Illustrated Reviews. Biochemistry. 4th edition. New Delhi: Wolters Kluwer (India) Pvt. Ltd; 2008. Obesity; p.349.
[6] World Health Organization. Obesity: Preventing and Managing the Global Epidemic. World Health Organization Technical Support Series No. 894. Geneva, Switzerland: World Health Organization; 2000.
[7] Dietz WH, Gortmaker SL. Preventing obesity in children and adolescents. Annu Rev Public Health. 2001; 22:337 53.
[8] Ghaffar A, Reddy KS, Singhi M. Burden of non-communicable diseases in South Asia. Br. Med. J. 2004; 328:807–810. [PMC free article] [Pub Med]
[9] De Onis M, Blossner M. Prevalence and trends of overweight among pre-schoolchildren in developing countries. Am J Clin Nutr. 2000; 72:1032–9.
[10] World Health Organization [http://www.who.int/en/]
[11] de Onis M, Blossner M, Borghi E.Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr 2010; 92:1257-64
[12] Nepal Demographic and Health Survey 2006. Ministry of Health and Population, New ERA, and Macro International Inc; Kathmandu, Nepal: 2007.
[13] Cui Z, Huxley R, Wu Y, Dibley MJ. Temporal trends in overweight and obesity of children and adolescents from nine Provinces in China from 1991-2006. Int J Pediatr Obes 2010; 5:365-74.
[14] Raj M, Sundaram KR, Paul M, Deepa AS, Kumar RK. Obesity in Indian children: time trends and relationship with hypertention. Natl Med J India 2007: 20: 288-93.
[15] Gelal B, Aryal M, Das BKL, Bhatta, Lamsal M and Baral N. Assessment of iodine nutrition status among school children of Nepal by urinary assay. Soutneast Asian J Trop Med Public Health 2009; 40: 538-43.
[16] Jacobson P, Torgerson JS, Sjo¨stro¨m L, Bouchard C. Spouse resemblance in body mass index: effects on adult obesity prevalence in the offspring generation. Am J Epidemiol 2007; 165:101–8.
[17] Vasudevan D M, Sreekumari S. Text book of Biochemistry.4th edition. New Delhi: Jaypee Brothers Medical Publishers (India) Pvt. Ltd; 2005. Obesity; p.324.
[18] Sundblom E, Petzold M, Rasmussen F, Callmer E, Lissner L. Childhood overweight and obesity prevalences levelling off in Stockholm but socioeconomic differences persist. Int J Obes (Lond) 2008; 32: 1525–30.
[19] Goran MI. Metabolic precursors and effects of obesity in children: a decade of progress, 1990–1999. Am J Clin Nutr.2001; 73:158 –71.
[20] Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. 1997; 337:869 –73.
[21] Cara B Ebbeling, Dorota B Pawlak, David S Ludwig. Childhood obesity: public-health crisis, common sense cure. Lancet 2002, 360: 473–82.
[22] Lazarus R, Baur L, Webb K, Blyth F: Body mass index in screening for adiposity in children and adolescents: systematic evaluation using receiver operating characteristic curves. Am J Clin Nutr 1996, 63:500-506.
[23] Stevens J: Obesity, fat patterning and cardiovascular risk. Adv Exp Med Biol 1995, 369:21-27.
[24] Shamail Zafar, Israr ul Haque, Anjum Rasheed Butt, Huda G Mirza, Fuad Shafiq, Ameed ur Rehman, Nusrat Ullah Ch, Relationship of body mass index and waist to hip ratio measurement with hypertension in young adult medical students, Pak J Med Sci July - September 2007 Vol. 23 No. 4 574-579
[25] Awasthi Janak Raj, Uprety Bipashwi Nath. Correlation of Anthropometric Index with Blood Pressure. Kathmandu University School of Medical Sciences (Nepal); 2010 July. p. 15-16.
[26] Nepal Demographics Profile 2009 Available online: http://www.indexmundi.com/nepal/demographics_profile.html (accessed 15 January 2010).
[27] Veugelers PJ, Fitzgerald AL, Johnston E. Dietary intake and risk factors for poor diet quality among children in Nova Scotia. Can J Public Health 2005; 96:212-6.
[28] Gillman MW, Rifas-Shiman SL, Frazier L, Rockett HRH, Camargo CA, Field AE. Family dinner and diet quality among older children and adolescents. Arch Fam Med 2000; 9:235-40.
[29] Neumark-Sztainer D, Hannan PJ, Story M, Croll J, Perry C. Family meal patterns: Associations with sociodemographic characteristics and improved dietary intake among adolescents. J Am Diet Assoc 2003; 103:317-22.
[30] Robinson TN. Television viewing and childhood obesity. Pediatr Clin North Am 2001; 48:1017-25.
[31] Caroli M, Argentieri L, Cardone M, Masi A. Role of television in childhood obesity prevention. Int J Obes Relat Metab Disord 2004;28(Suppl 3):S104-8.
[32] National Center for Addiction and Substance Abuse at Columbia University. The importance of family dinners. New York: The Center; 2003. Available: www.casacolumbia.org/Absolutenm/articlefiles/Family_Dinners_9_03_03.pdf (accessed 2005 Mar 21).
[33] Safer DL, Agras WS, Bryson S, Hammer LD. Early body mass index and other anthropometric relationships between parents and children. Int J Obes Relat Metab Disord 2001; 25: 1532–1536.
[34] Stunkard AJ, Berkowitz RI, Stallings VA, Cater JR. Weights of parents and infants: is there a relationship? Int J Obes Relat Metab Disord 1999; 23: 159–162.
[35] Kral JG, Biron S, Simard S, Hould FS, Lebel S, Marceau S et al. Large maternal weight loss from obesity surgery prevents transmission of obesity to children who were followed for 2 to 18 years. Pediatrics 2006; 118: 1644–1649.
[36] Swinburn B, Egger G: Preventive strategies against weight gain and obesity. Obes Rev 2002, 3:289-301.
[37] Tremblay MS, Willms JD: Is the Canadian childhood obesity epidemic related to physical inactivity? Int J Obes Relat Metab Disord 2003, 27:1100-1105.
[38] Gordon-Larsen P, Griffiths P, Bentley ME, Ward DS, Kelsey K, Shields K, Ammerman A: Barriers to physical activity: qualitative data on caregiver-daughter perceptions and practices. Am J Prev Med 2004, 27:218-223.
[39] Carriere G: Parent and child factors associated with youth obesity. Statistics Canada; 2003.
[40] Barlow SE and the Expert Committee. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics 2007;120 Supplement December 2007:S164—S192.
Cite This Article
  • APA Style

    Binay Kumar Raut, Mukesh Kumar Jha, Dijan Baidya, Hari Sundar Shrestha, Subhash Sapkota, et al. (2014). Determination of Risk Factors Associated with Childhood Obesity and the Correlation with Adult Obesity- A Random Cross Sectional Study from Nepal. American Journal of Health Research, 2(4), 134-139. https://doi.org/10.11648/j.ajhr.20140204.15

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    ACS Style

    Binay Kumar Raut; Mukesh Kumar Jha; Dijan Baidya; Hari Sundar Shrestha; Subhash Sapkota, et al. Determination of Risk Factors Associated with Childhood Obesity and the Correlation with Adult Obesity- A Random Cross Sectional Study from Nepal. Am. J. Health Res. 2014, 2(4), 134-139. doi: 10.11648/j.ajhr.20140204.15

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    AMA Style

    Binay Kumar Raut, Mukesh Kumar Jha, Dijan Baidya, Hari Sundar Shrestha, Subhash Sapkota, et al. Determination of Risk Factors Associated with Childhood Obesity and the Correlation with Adult Obesity- A Random Cross Sectional Study from Nepal. Am J Health Res. 2014;2(4):134-139. doi: 10.11648/j.ajhr.20140204.15

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  • @article{10.11648/j.ajhr.20140204.15,
      author = {Binay Kumar Raut and Mukesh Kumar Jha and Dijan Baidya and Hari Sundar Shrestha and Subhash Sapkota and Madhukar Aryal and Prabodh Risal and Shyam Sundar Malla},
      title = {Determination of Risk Factors Associated with Childhood Obesity and the Correlation with Adult Obesity- A Random Cross Sectional Study from Nepal},
      journal = {American Journal of Health Research},
      volume = {2},
      number = {4},
      pages = {134-139},
      doi = {10.11648/j.ajhr.20140204.15},
      url = {https://doi.org/10.11648/j.ajhr.20140204.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20140204.15},
      abstract = {Background: Obesity is a global problem that is rising at an astounding rate. The children and adolescent obesity are the burning issues. Body mass index (BMI) also called Quetelet Index (initially described by Quetelet in 1869), has become the measurement of choice to measure overweight and obesity in adults. To date there is no information on the extent of affliction due to overweight and obesity among children and their associated risk factors in Nepal. Objectives: The study was undertaken to find out if dietary, behavioral and physical factors contributed to risk of obesity in Nepalese children and adolescents around Kathmandu valley and to find out the association between childhood obesity with parental obesity. Methods: The study was conducted among subjects aged 5-19 years at four different locations; Lalitpur, Thimi, Kushadevi and Dhulikhel, Nepal. A total of 324 children and their 648 parents (324 father and mother each) participated in the study. Body Mass Index (BMI) was calculated according to the World Health Organization (WHO) criteria for all participants. Variables relation to socioeconomic status, dietary habits, physical factors and emotional well being were determined using a self-administered questionnaire. Results: As determined with the help of BMI, the factors like socioeconomic status and sedentary lifestyle were found to contribute to various conditions like obesity, underweight and overweight in children of various ages, although, prevalence of obesity was low compared to the other conditions. Also BMI of children was found to be positively and significantly correlated with father’s and mother's BMI indicating its importance as a marker in progression of such health conditions in children. Conclusions: BMI proved to be a reliable indicator of adverse health conditions like obesity in Nepalese children and could contribute to understanding the role of the various risk factors of dietary, social and physical nature in the development of these conditions.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Determination of Risk Factors Associated with Childhood Obesity and the Correlation with Adult Obesity- A Random Cross Sectional Study from Nepal
    AU  - Binay Kumar Raut
    AU  - Mukesh Kumar Jha
    AU  - Dijan Baidya
    AU  - Hari Sundar Shrestha
    AU  - Subhash Sapkota
    AU  - Madhukar Aryal
    AU  - Prabodh Risal
    AU  - Shyam Sundar Malla
    Y1  - 2014/08/20
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ajhr.20140204.15
    DO  - 10.11648/j.ajhr.20140204.15
    T2  - American Journal of Health Research
    JF  - American Journal of Health Research
    JO  - American Journal of Health Research
    SP  - 134
    EP  - 139
    PB  - Science Publishing Group
    SN  - 2330-8796
    UR  - https://doi.org/10.11648/j.ajhr.20140204.15
    AB  - Background: Obesity is a global problem that is rising at an astounding rate. The children and adolescent obesity are the burning issues. Body mass index (BMI) also called Quetelet Index (initially described by Quetelet in 1869), has become the measurement of choice to measure overweight and obesity in adults. To date there is no information on the extent of affliction due to overweight and obesity among children and their associated risk factors in Nepal. Objectives: The study was undertaken to find out if dietary, behavioral and physical factors contributed to risk of obesity in Nepalese children and adolescents around Kathmandu valley and to find out the association between childhood obesity with parental obesity. Methods: The study was conducted among subjects aged 5-19 years at four different locations; Lalitpur, Thimi, Kushadevi and Dhulikhel, Nepal. A total of 324 children and their 648 parents (324 father and mother each) participated in the study. Body Mass Index (BMI) was calculated according to the World Health Organization (WHO) criteria for all participants. Variables relation to socioeconomic status, dietary habits, physical factors and emotional well being were determined using a self-administered questionnaire. Results: As determined with the help of BMI, the factors like socioeconomic status and sedentary lifestyle were found to contribute to various conditions like obesity, underweight and overweight in children of various ages, although, prevalence of obesity was low compared to the other conditions. Also BMI of children was found to be positively and significantly correlated with father’s and mother's BMI indicating its importance as a marker in progression of such health conditions in children. Conclusions: BMI proved to be a reliable indicator of adverse health conditions like obesity in Nepalese children and could contribute to understanding the role of the various risk factors of dietary, social and physical nature in the development of these conditions.
    VL  - 2
    IS  - 4
    ER  - 

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Author Information
  • Department of Biochemistry, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal

  • Department of Physiology, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal

  • Faculty of Human Biology, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal

  • Faculty of Human Biology, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal

  • Faculty of Human Biology, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal

  • Department of Biochemistry, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal

  • Department of Biochemistry, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal

  • Department of Biochemistry, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal

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