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Current Nutrition & Food Science

Editor-in-Chief

ISSN (Print): 1573-4013
ISSN (Online): 2212-3881

Research Article

Varying Body Composition and Growth in Indian Adolescents from Different Socioeconomic Strata

Author(s): Prerna P. Patel*, Pinal A. Patel, Ashish D. Patel, Shashi A. Chiplonkar and Anuradha V. Khadilkar

Volume 16, Issue 4, 2020

Page: [578 - 584] Pages: 7

DOI: 10.2174/1573401315666181224094900

Price: $65

Abstract

Background: Early growth stunting has been associated with modifications in body composition and its direction differs with the local environment. Data on the association between body composition with growth and the influence of socioeconomic strata (SES) on the same is scarce in Indian adolescents.

Objectives: The study aimed to examine (i) the associations of SES with body composition and growth (ii) the relationship between body composition and lifestyle factors (physical activity, diet) across SES and (iii) interrelationship between the body composition and growth.

Methods: A cross-sectional study on apparently healthy adolescents (10-14years, n=604) from different SES, was conducted in Gujarat, Western India. Outcome parameters included anthropometry, body composition, moderate to vigorous physical activity (MVPA) and dietary intake.

Results: 84%, 66% and 39% boys, whereas 61%, 43% and 26% girls from upper, middle and lower SES respectively, were underfat; amongst upper SES, 22% boys and 8% girls were obese (p<0.001). 24% boys and 19% girls from lower SES were stunted (HAZ<-2) (p<0.001). In all SES, %fat mass (FM) showed an inverse correlation, while %fat free mass (FFM) showed a positive correlation with MVPA. Comparing the prevalence of stunting across the % body fat categories revealed that 15% of the underfat boys and 16% of the underfat girls were stunted (p<0.001).

Conclusion: SES shows a significant impact on body composition with a majority of lower SES adolescents being underfat. Underfat adolescents were at a greater risk of being stunted.

Keywords: Adolescents, body composition, growth, physical activity, socioeconomic strata, stunting.

Graphical Abstract

[1]
WHO. Adolescent Nutrition: A Review of the situation in selected South-East Asian countries. Geneva 2006.
[2]
Ross C, Caballero B, Cousins RJ, Tucker KL, Ziegler TR. Modern nutrition in health and disease Lppincott Williams and Wilkins. 11th ed. Philadelphia: Wolters Kluver 2014.
[3]
NIN/ICMR. Nutrient requirements and recommended dietary allowances for Indians. Hyderabad 2010.
[4]
WHO. Adolescents: Health risks and solutions. Geneva . 2014.Available from: http://www.who.int/mediacentre/factsheets/fs345/
[5]
FAO/WHO; Vitamin and mineral requirements in human nutrition Hong Kong. 2004.Available from: http://apps.who.int/iris/ bitstream/10665/42716/1/9241546123.pdf
[6]
Khadilkar VV, Khadilkar AV, Cole TJ, Sayyad MG. Crosssectional growth curves for height, weight and body mass index for affluent Indian children, 2007. Indian Pediatr 2009; 46(6): 477-89.
[PMID: 19556658]
[7]
Centers for Disease Control and Prevention (CDC); The association between school-based physical activity, including physical education, and academic performance. Atlanta . 2010.Available from: www.cdc.gov/HealthyYouth
[8]
U.S. Department of Health and Human Services. Physical activity fundamental to preventing disease. US 2002.
[9]
Miles L. Physical activity and health. Nutr Bull 2007; 32: 314-63.
[http://dx.doi.org/10.1111/j.1467-3010.2007.00668.x]
[10]
Abbott RA, Davies PSW. Habitual physical activity and physical activity intensity: their relation to body composition in 5.0-10.5-y-old children. Eur J Clin Nutr 2004; 58(2): 285-91.
[http://dx.doi.org/10.1038/sj.ejcn.1601780] [PMID: 14749749]
[11]
Tanner S, Leonard WR, Reyes-García V. TAPS Bolivia Study Team. The consequences of linear growth stunting: influence on body composition among youth in the Bolivian Amazon. Am J Phys Anthropol 2014; 153(1): 92-102.
[http://dx.doi.org/10.1002/ajpa.22413] [PMID: 24318945]
[12]
Walker SP, Chang SM, Powell CA. The association between early childhood stunting and weight status in late adolescence. Int J Obes 2007; 31(2): 347-52.
[http://dx.doi.org/10.1038/sj.ijo.0803383] [PMID: 16718285]
[13]
Ravikumar BP, Dudala SR, Rao AR. Kuppuswamy’s socio-economic status-A revision of economic parameter for 2012. Int J Res Dev Heal 2013; 1: 2-4.
[14]
Barbosa N, Sanchez CE, Vera JA, Perez W, Thalabard J-C, Rieu M. A physical activity questionnaire: reproducibility and validity. J Sports Sci Med 2007; 6(4): 505-18.
[PMID: 24149485]
[15]
Centers for Disease Control and Prevention (CDC). General Physical Activities Defined by Level of Intensity 1999. Available from: http://www.cdc.gov/nccdphp/dnpa/physical/pdf/pa_intensity_ table_2_1.pdf
[16]
Centers for Disease Control and Prevention (CDC). The 2011 Compendium of Physical Activities: Tracking Guide. 2011.Available from: http://download.lww.com/wolterskluwer_vital stream_ com/PermaLink/MSS/A/MSS_43_8_2011_06_13_AINSWORTH_202093_SDC1.pdf
[17]
Gopalan C, Ramasastri BV, Balasubramanian SG, Rao B, Deosthale Y, Pant K. Nutritive value of Indian foods. Hyderabad: National Institute of Nutrition 2000.
[18]
USDA National Nutrient Database for Standard Reference. Release 23 Composition of Foods Raw. Maryland: Processed, Prepared. 2010.
[19]
Chiplonkar SA, Agte VV. Extent of error in estimating nutrient intakes from food tables versus laboratory estimates of cooked foods. Asia Pac J Clin Nutr 2007; 16(2): 227-39.
[PMID: 17468077]
[20]
Kolekar SM, Sawant SU. A comparative study of physical growth in urban and rural school children from 5 to 13 years of age. Int J Recent Trends Sci Technol 2013; 6: 89-93.
[21]
McCarthy HD, Cole TJ, Fry T, Jebb SA, Prentice AM. Body fat reference curves for children. Int J Obes 2006; 30(4): 598-602.
[http://dx.doi.org/10.1038/sj.ijo.0803232] [PMID: 16570089]
[22]
Casey PH, Szeto K, Lensing S, Bogle M, Weber J. Children in food-insufficient, low-income families: prevalence, health, and nutrition status. Arch Pediatr Adolesc Med 2001; 155(4): 508-14.
[http://dx.doi.org/10.1001/archpedi.155.4.508] [PMID: 11296080]
[23]
Kinra S, Johnson M, Kulkarni B, Rameshwar Sarma KV, Ben-Shlomo Y, Smith GD. Socio-economic position and cardiovascular risk in rural Indian adolescents: evidence from the Andhra Pradesh children and parents study (APCAPS). Public Health 2014; 128(9): 852-9.
[http://dx.doi.org/10.1016/j.puhe.2014.06.005] [PMID: 25220689]
[24]
Griffiths PL, Rousham EK, Norris SA, Pettifor JM, Cameron N. Socio-economic status and body composition outcomes in urban South African children. Arch Dis Child 2008; 93(10): 862-7.
[http://dx.doi.org/10.1136/adc.2006.112649] [PMID: 18456685]
[25]
Jiménez-Pavón D, Fernández-Vázquez A, Alexy U, et al. HELENA Study Group. Association of objectively measured physical activity with body components in European adolescents. BMC Public Health 2013; 13: 667.
[http://dx.doi.org/10.1186/1471-2458-13-667] [PMID: 23866681]
[26]
Walker SP, Gaskin PS, Powell CA, Bennett FI. The effects of birth weight and postnatal linear growth retardation on body mass index, fatness and fat distribution in mid and late childhood. Public Health Nutr 2002; 5(3): 391-6.
[http://dx.doi.org/10.1079/PHN2002275] [PMID: 12003649]
[27]
Clemente APG, Santos CD da L, Martins VJB, Benedito-Silva AA, Albuquerque MP, Sawaya AL. Mild stunting is associated with higher body fat: study of a low-income population. J Pediatr (Rio J) 2011; 87(2): 138-44.
[http://dx.doi.org/10.2223/JPED.2071] [PMID: 21503383]
[28]
Lim JS, Hwang JS, Lee JA, et al. Cross-calibration of multi-frequency bioelectrical impedance analysis with eight-point tactile electrodes and dual-energy X-ray absorptiometry for assessment of body composition in healthy children aged 6-18 years. Pediatr Int 2009; 51(2): 263-8.
[http://dx.doi.org/10.1111/j.1442-200X.2008.02698.x] [PMID: 19405930]

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