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Association of Body Mass Index with Lifestyle Behaviours among Students of Punjab University


Affiliations
1 Mayo Hospital, King Edward Medical University, Lahore, Punjab − 54000, Pakistan
2 Punjab Medical College Faisalabad, Allied Hospital Faisalabad, Punjab, Pakistan
3 Consultant Medicine, Kingdom of Saudi Arabia (KSA), Riyadh, Saudi Arabia
4 Women Medical Officer Obstetrics and Gynaecology, Lady Aitchison Hospital, King Edward Medical University, Lahore - 54000, Punjab, Pakistan
5 Resident Emergency Medicine, NHS, The Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
6 Department of Oral Pathology, de’Montmorency College of Dentistry, Punjab Dental Hospital, Lahore, Punjab, Pakistan
 

Objective: To determine association of body mass index with life style behaviours among students of Punjab University. Methodology: This was a cross sectional study, done among Punjab University students. Study was started after approval of Institutional Review Board of the Department of Public health and after taking informed consent. Data was collected on a self structured questionnaire. Body Mass Index (BMI) was calculated after measurements of weight and height. BMI was taken normal in the range of 18.5-24.9 kg/m2, under-weight below 18.5kg/m2 and overweight 25-29.9kg/m2. Then analysis was done using appropriate statistical tests. Results: Most of the respondent (80%) had age group 17-25 years. Majority respondents sleep late night, 93.5% were nonsmoker, 55% had good sleep 6 to 8 hours daily, 50% respondents walk 10 to 20 minutes daily, 90% did not have outdoor games activity, jogging and swimming habit. Majority (60%) respondents had normal BMI, 25% had high and 15% below normal. Demographic variable when associated with BMI age, gender, weight, height, and income were found statistically significant. Similarly, physical activities when associated with BMI then daily sleeping hours, timing of sleeping, daily walk, outdoors games, jogging and use of bike were statistically significant. Conclusion: Lifestyle of University students of young age shows that there is need to create awareness about healthy physical activities and improving their lifestyle behaviours so as to maintain a normal BMI. Descriptive statistics shows that majority of the university students do not have health lifestyle and around 25% had high BMI in spite of young age. There is need of the hour to create awareness about healthy physical activities and improving their lifestyle behaviours so as to maintain a normal BMI.

Keywords

Body Mass Index (BMI), Height, Lifestyle Behaviours, Weight.
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  • Obesity and overweight Fact sheet N°311. WHO. January 2018. Retrieved 2019 2 Feb.

  • Wright SM, Aronne LJ. Causes of obesity. Abdom. Imaging. 2012 Oct; 37(5):730-32. https://doi.org/10.1007/s00261012-9862-x. PMid: 22426851.

  • James WPT, Jackson-Leach R, Ni Mhurchu C, et al. Overweight and obesity (high body mass index). In: Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors, Vol. 1, M Ezzati, AD Lopez, A Rodgers et al., Ed. Geneva: WHO; 2004. p. 497-596.

  • Ramachandrappa S, Farooqi IS. Genetic approaches to understanding human obesity. J. Clin. Invest. 2011 Jun; 121(6):2080-86. https://doi.org/10.1172/JCI46044. PMid: 21633175, PMCid: PMC3104766.

  • Ibekwe R. Modifiable Risk factors of hypertension and socio-demographic profile in Oghara, Delta State; prevalence and correlates. Annals of Medical and Health Sciences Research. 2015; 5(1):71-77. doi:10.4103/21419248.149793. https://doi.org/10.4103/2141-9248.149793. PMid: 25745581, PMCid: PMC4350067.

  • Kuk JL, Katzmarzyk PT, Nichaman MZ, Church TS, Blair SN, Ross R. Visceral fat is an independent predictor of allcause mortality in men. Obesity (Silver Spring). 2006 Feb; 14(2):336-41. https://doi.org/10.1038/oby.2006.43. PMid: 16571861.

  • Livingstone MB1, Robson PJ, Wallace JM, McKinley MC. How active are we? Levels of routine physical activity in children and adults. Proc. Nutr. Soc. 2003 Aug; 62(3):681701. https://doi.org/10.1079/PNS2003291. PMid: 14692604.

  • Tremblay MS, Willms JD. Is the Canadian childhood obesity epidemic related to physical inactivity? Int. J. Obes. Relat. Metab. Disord. 2003 Sep; 27(9):1100-105. https://doi.org/10.1038/sj.ijo.0802376. PMid: 12917717.

  • Giugliano R1, Carneiro EC. Factors associated with obesity in school children. J. Pediatr. (Rio J). 2004 Jan-Feb; 80(1):1722. https://doi.org/10.2223/JPED.1128. PMid: 14978544.

  • Vandewater EA1, Shim MS, Caplovitz AG. Linking obesity and activity level with children’s television and video game use. J. Adolesc. 2004 Feb; 27(1):71-85. https://doi.org/10.1016/j.adolescence.2003.10.003. PMid: 15013261.

  • Spagnoli TD, Bioletti L, Bo C, Formigatti M. TV, overweight and nutritional surveillance. Ads content, food intake and physical activity. Ann. Ig. 2003 Sep-Oct; 15(5):611-20.

  • Hodges EA. A primer on early childhood obesity and parental influence.PediatrNurs. 2003 Jan-Feb;29(1):13-16.

  • National Centre for Health Statistics. Healthy People. 2010. https://www.cdc.gov/nchs/healthy_people/hp2010.htm.

  • Strong KA, Parks SL, Anderson E, Winett R, Davy BM. Weight gain prevention: Identifying theory-based targets for health behavior change in young adults. J. Am. Diet. Assoc. 2008 Oct; 108(10):1708-15. https://doi.org/10.1016/j.jada.2008.07.007. PMid: 18926139, PMCid:PMC2614557.

  • Flegal KM. The effects of changes in smoking prevalence on obesity prevalence in the United States. Am. J. Public Health. 2007 Aug; 97(8):1510-14. Epub. 2007 Jun 28. https://doi.org/10.2105/AJPH.2005.084343. PMid: 17600266, PMCid: PMC1931461.

  • Dietz WH1, Robinson TN. Clinical practice. Overweight children and adolescents. N. Engl. J. Med. 2005 May 19; 352(20):2100-09. https://doi.org/10.1056/NEJMcp043052. PMid: 15901863.

  • Seo D, Nehl E, Agley J, Ma S. Relations between physical activity and behavioral and perceptual correlates among Midwestern college students. J. Am. Coll. Health. 2007; 56:187-97. https:// doi.org/10.3200/JACH.56.2.187-198. PMid: 17967767.

  • Hull HR, Morrow ML, Heesch KC, Dinger MK, Han JL, Fields DA. Effect of the summer months on body weight and composition in college women. J. Womens Health (Larchmt). 2007 Dec; 16(10):1510-15. https://doi.org/10.1089/jwh.2006.0329. PMid: 18062766.

  • Sharma P, Berad A. Study of lifestyle, dietary pattern and bmi of young women aged between 20-40 years.International Journal of Medical and Biomedical Studies. 2019 Mar 1; 3(2). https://doi.org/10.32553/ijmbs.v3i2.126.

  • Mora S, Lee IM, Buring JE, Ridker PM. Association of physical activity and body mass index with novel and traditional cardiovascular biomarkers in women. Jama. 2006 Mar 22; 295(12):1412-19. https://doi.org/10.1001/jama.295.12.1412. PMid: 16551713.

  • Ko GT, Chan JC, Chan AW, Wong PT, Hui SS, Tong SD, Ng SM, Chow F, Chan CL. Association between sleeping hours, working hours and obesity in Hong Kong Chinese: The ‘better health for better Hong Kong’ health promotion campaign. International Journal of Obesity. 2007 Feb; 31(2):254. https:// doi.org/10.1038/sj.ijo.0803389. PMid: 16718283.

  • Vorona RD, Winn MP, Babineau TW, Eng BP, Feldman HR, Ware JC. Overweight and obese patients in a primary care population report less sleep than patients with a normal body mass index. Arch. Intern. Med. 2005; 165:25-30. https://doi.org/10.1001/archinte.165.1.25. PMid: 15642870.

  • Agras WS, Hammer LD, McNicholas F, Kraemer HC. Risk factors for childhood overweight: A prospective study from birth to 9.5 years. J. Pediatr. 2004; 145:20-25 https://doi.org/10.1016/j.jpeds.2004.03.023. PMid: 15238901.

  • Sekine M, Yamagami T, Handa K, Saito T, Nanri S, Kawaminami K, et al. A dose-response relationship between short sleeping hours and childhood obesity: Results of the Toyama Birth Cohort Study. Child Care Health Dev. 2002; 28:163-70. https:// doi.org/10.1046/j.1365-2214.2002.00260.x. PMid: 11952652.

  • Kahn JA, Huang B, Gillman MW, Field AE, Austin SB, Colditz GA, Frazier AL. Patterns and determinants of physical activity in US adolescents. Journal of Adolescent Health. 2008 Apr 1; 42(4):369-77. https://doi.org/10.1016/j.jadohealth. 2007; 11:143. PMid: 18346662.


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  • Association of Body Mass Index with Lifestyle Behaviours among Students of Punjab University

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Authors

Hafiz Saleem Faisal Shahzad
Mayo Hospital, King Edward Medical University, Lahore, Punjab − 54000, Pakistan
Sadia Ahmad
Punjab Medical College Faisalabad, Allied Hospital Faisalabad, Punjab, Pakistan
Hafiz Muhammad Imran
Consultant Medicine, Kingdom of Saudi Arabia (KSA), Riyadh, Saudi Arabia
Misbah Sarwar
Women Medical Officer Obstetrics and Gynaecology, Lady Aitchison Hospital, King Edward Medical University, Lahore - 54000, Punjab, Pakistan
Yasir Wattoo
Resident Emergency Medicine, NHS, The Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
Faiz Rasul
Department of Oral Pathology, de’Montmorency College of Dentistry, Punjab Dental Hospital, Lahore, Punjab, Pakistan

Abstract


Objective: To determine association of body mass index with life style behaviours among students of Punjab University. Methodology: This was a cross sectional study, done among Punjab University students. Study was started after approval of Institutional Review Board of the Department of Public health and after taking informed consent. Data was collected on a self structured questionnaire. Body Mass Index (BMI) was calculated after measurements of weight and height. BMI was taken normal in the range of 18.5-24.9 kg/m2, under-weight below 18.5kg/m2 and overweight 25-29.9kg/m2. Then analysis was done using appropriate statistical tests. Results: Most of the respondent (80%) had age group 17-25 years. Majority respondents sleep late night, 93.5% were nonsmoker, 55% had good sleep 6 to 8 hours daily, 50% respondents walk 10 to 20 minutes daily, 90% did not have outdoor games activity, jogging and swimming habit. Majority (60%) respondents had normal BMI, 25% had high and 15% below normal. Demographic variable when associated with BMI age, gender, weight, height, and income were found statistically significant. Similarly, physical activities when associated with BMI then daily sleeping hours, timing of sleeping, daily walk, outdoors games, jogging and use of bike were statistically significant. Conclusion: Lifestyle of University students of young age shows that there is need to create awareness about healthy physical activities and improving their lifestyle behaviours so as to maintain a normal BMI. Descriptive statistics shows that majority of the university students do not have health lifestyle and around 25% had high BMI in spite of young age. There is need of the hour to create awareness about healthy physical activities and improving their lifestyle behaviours so as to maintain a normal BMI.

Keywords


Body Mass Index (BMI), Height, Lifestyle Behaviours, Weight.

References





DOI: https://doi.org/10.18311/ijmds%2F2020%2F24138