Association of Obesity with Food Choices among Children Between Age Group of 5 To 12 Years in Different Areas of Lahore

Obesity & Food Choices in Children of Lahore

Authors

  • Hafsa Tahir University of Management Sciences & Technology Lahore
  • Sania Maqbool University of Management Sciences & Technology Lahore
  • Shafaq Shahid University of Management Sciences & Technology Lahore
  • Riffat Shabbir University of Management Sciences & Technology Lahore
  • Hafiz Muhammad Uzair Asghar Lahore Medical & Dental College Lahore
  • Fizza Masood University of Management Sciences & Technology Lahore
  • Amna Naeem University of Management Sciences & Technology Lahore
  • Fizah Irfan University of Management Sciences & Technology Lahore

DOI:

https://doi.org/10.54393/pbmj.v5i6.547

Keywords:

Socioeconomic status (SES), parent’s education, food choices, nutritional habits, body mass index (BMI), food frequency questionnaire

Abstract

The relationship between the socioeconomic status (SES) of parents and the effect of socio-economic status on the food intake pattern of their children was examined in this study. Children of low SES generally have poorer diets than children of high SES. Objective: To observe the association of child obesity with food choices in different areas of Lahore Methods: Data were collected from 38 participants, from different areas of Lahore, Pakistan. From which 20 were female and 18 were male children. Their parents were requested to solve a questionnaire which comprised of different questions related to child age, height, weight, eating habits and parent’s socioeconomic status and their education. Results: Study showed that children growing up in families with a lower SES had a higher body mass index (BMI), lower quality of life, less healthy nutrition, and less physical activity as compared to children growing up in families with a higher SES.  The food frequency questionnaire showed that children belonging to lower SES consumed 17% grains, 18% dairy sources, 16% vegetables, 12% pluses and lentils, 0% meat, 11% fruits, and 13% tea and coffee in a day. While children belonging to higher SES consumed 17% grains, 29% dairy sources, 6% vegetables, 2% pulses and lentils, 13% meat, 13% fruits, and 7% tea and coffee daily. Conclusions: SES has an exquisite impact at the food alternatives and food intake among college-going youngsters. Lower SES children devour greater veggies, less meat, and dairy products at the same time as better SES kids devour fewer vegetables and extra meat and dairy products. Children from DHA were more obese and they were consuming more protein based diet and practicing sedentary life style.

References

Mkhize M, Sibanda M. A Review of Selected Studies on the Factors Associated with the Nutrition Status of Children Under the Age of Five Years in South Africa. Int J Environ Res Public Health. 2020 Oct 30;17(21):7973. doi: 10.3390/ijerph17217973.

Arif I, Batool M, Schenk PM. Plant Microbiome Engineering: Expected Benefits for Improved Crop Growth and Resilience. Trends Biotechnol. 2020 Dec;38(12):1385-1396. doi: 10.1016/j.tibtech.2020.04.015.

Chan AML, Ng AMH, Mohd Yunus MH, Idrus RBH, Law JX, Yazid MD, Chin KY, Shamsuddin SA, Lokanathan Y. Recent Developments in Rodent Models of High-Fructose Diet-Induced Metabolic Syndrome: A Systematic Review. Nutrients. 2021 Jul 22;13(8):2497. doi: 10.3390/nu13082497.

Ahmad D, Afzal M, Imtiaz A. Effect of socioeconomic factors on malnutrition among children in Pakistan. Future Business Journal. 2020 Dec;6(1):1-1.doi.10.1186/s43093-020-00032-x

Pålsson H, Pettersson F, Hiselius LW. Energy consumption in e-commerce versus conventional trade channels-Insights into packaging, the last mile, unsold products and product returns. Journal of cleaner production. 2017 Oct 15;164:765-78. doi.10.1016/j.jclepro.2018.09.138

Zeraatkar D, Bhasin A, Morassut RE, Churchill I, Gupta A, Lawson DO, Miroshnychenko A, Sirotich E, Aryal K, Mikhail D, Khan TA, Ha V, Sievenpiper JL, Hanna SE, Beyene J, de Souza RJ. Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study. Am J Clin Nutr. 2021 Jun 1;113(6):1578-1592. doi: 10.1093/ajcn/nqab002..

NCD Risk Factor Collaboration (NCD-RisC). Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet. 2020 Nov 7;396(10261):1511-1524. doi: 10.1016/S0140-6736(20)31859-6.

Burton Murray H, Riddle M, Rao F, McCann B, Staller K, Heitkemper M, Zia J. Eating disorder symptoms, including avoidant/restrictive food intake disorder, in patients with disorders of gut-brain interaction. Neurogastroenterol Motil. 2021 Oct 24:e14258. doi: 10.1111/nmo.14258.

Sserwanja Q, Mutisya LM, Olal E, Musaba MW, Mukunya D. Factors associated with childhood overweight and obesity in Uganda: a national survey. BMC Public Health. 2021 Aug 3;21(1):1494. doi: 10.1186/s12889-021-11567-1.

Chowdhury MAB, Adnan MM, Hassan MZ. Trends, prevalence and risk factors of overweight and obesity among women of reproductive age in Bangladesh: a pooled analysis of five national cross-sectional surveys. BMJ Open. 2018 Jul 19;8(7):e018468. doi: 10.1136/bmjopen-2017-018468

Ghimire U, Aryal BK, Gupta AK, Sapkota S. Severe acute malnutrition and its associated factors among children under-five years: a facility-based cross-sectional study. BMC Pediatr. 2020 May 26;20(1):249. doi: 10.1186/s12887-020-02154-1

Deckelbaum RJ, Williams CL. Childhood obesity: the health issue. Obes Res. 2001 Nov;9 Suppl 4:239S-243S. doi: 10.1038/oby.2001.125.

Casey RE, Taylor MD, Klaine SJ. Mechanisms of nutrient attenuation in a subsurface flow riparian wetland. J Environ Qual. 2001 Sep-Oct;30(5):1732-7. doi: 10.2134/jeq2001.3051732x

Dehghan M, Akhtar-Danesh N, Merchant AT. Childhood obesity, prevalence and prevention. Nutr J. 2005 Sep 2;4:24. doi: 10.1186/1475-2891-4-24.

1Birch LL, Ventura AK. Preventing childhood obesity: what works? Int J Obes (Lond). 2009 Apr;33 Suppl 1:S74-81. doi: 10.1038/ijo.2009.22.

Visser J, McLachlan MH, Maayan N, Garner P. Community-based supplementary feeding for food insecure, vulnerable and malnourished populations - an overview of systematic reviews. Cochrane Database Syst Rev. 2018 Nov 9;11(11):CD010578. doi: 10.1002/14651858.CD010578.

Hashan MR, Das Gupta R, Day B, Al Kibria GM. Differences in prevalence and associated factors of underweight and overweight/obesity according to rural-urban residence strata among women of reproductive age in Bangladesh: evidence from a cross-sectional national survey. BMJ Open. 2020 Feb 4;10(2):e034321. doi: 10.1136/bmjopen-2019-034321.

Were JM, Stranges S, Creed IF. Fertility is a key predictor of the double burden of malnutrition among women of child-bearing age in sub-Saharan Africa. J Glob Health. 2020 Dec;10(2):020423. doi: 10.7189/jogh.10.020423.

Birch LL, Fisher JO. Development of eating behaviors among children and adolescents. Pediatrics. 1998 Mar;101(3 Pt 2):539-49.

Whitaker RC, Deeks CM, Baughcum AE, Specker BL. The relationship of childhood adiposity to parent body mass index and eating behavior. Obes Res. 2000 May;8(3):234-40. doi: 10.1038/oby.2000.27.

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Published

2022-06-30

How to Cite

Tahir, H., Maqbool, S. ., Shahid , S., Shabbir, R. ., Uzair Asghar, H. M. ., Masood , F. ., Naeem, A. ., & Irfan, F. . (2022). Association of Obesity with Food Choices among Children Between Age Group of 5 To 12 Years in Different Areas of Lahore: Obesity & Food Choices in Children of Lahore . Pakistan BioMedical Journal, 5(6), 233–236. https://doi.org/10.54393/pbmj.v5i6.547

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