Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

The Association of Dietary Behaviors and Physical Activity Levels with General and Central Obesity among ASEAN University Students

1 HIV/AIDS/STIs and TB (HAST) Research Programme, Human Sciences Research Council, Private Bag X41, Pretoria 0001, South Africa
2 Department of Research and Innovation, University of Limpopo, Sovenga 0727, South Africa
3 ASEAN Institute for Health Development, Mahidol University, Salaya, Phutthamonthon, Nakhonpathom 73170, Thailand

Objective: To quantify the prevalence of obesity and obesity-related factors (dietary behaviors and physical activity levels) in a cross-sectional, observational study of ASEAN undergraduate students. Material and Methods: A total of 6783 (35.5% male and 64.5% female) undergraduate students (Mean age: 20.5, SD = 2.0) from eight ASEAN countries completed questionnaires and anthropometric measurements. Multivariable logistic regression was used to estimate odds ratios (ORs) for the association of nutrition behaviors with prevalence of general obesity (body mass index ≥ 25 kg/m²), elevated waist-to-height ratio (WHtR) (>0.50), and high waist circumference (WC) (≥80 cm in females, ≥90 cm in males). Covariates included sociodemographic factors, dietary behavior, physical activity and sitting time (using the “International Physical Activity Questionnaire”). Results: There was a higher prevalence of general obesity (24.2% versus 9.3%), and high WHtR (16.6% versus 12.1) in males relative to females, while high WC (9.4% versus 10.4%) did not significantly differ between genders. In multivariable logistic regression analyses, compared to females, males had higher odds of obesity (odds-ratio, OR: 2.13, confidence interval, CI: 1.80, 2.77), and high WHtR (OR: 1.90, CI: 1.48, 2.43) (P < 0.001 for both). Snacking frequency and avoiding fatty foods were associated with all three obesity indicators; obesity (OR: 1.16, CI: 1.05, 1.28 and OR: 1.54, CI: 1.24, 1.92, respectively), WHtR (OR: 1.17, CI: 1.04, 1.32 and OR: 1.46, CI: 1.04, 1.54), and high WC (OR: 1.16, CI: 2.01, 1.33 and OR 1.52, CI: 1.14, 2.04, respectively). Physical activity and sedentary behavior were not significantly associated with any obesity measure. Conclusions: There was a low prevalence of healthy behaviors and a high prevalence of obesity in this sample of ASEAN young adults. Specific dietary behaviors but not physical activity nor sedentary behavior were associated with obesity.
  Figure/Table
  Supplementary
  Article Metrics

Keywords general obesity; central obesity; dietary behavior; physical activity; sedentary behavior; university students; ASEAN

Citation: Karl Peltzer, Supa Pengpid. The Association of Dietary Behaviors and Physical Activity Levels with General and Central Obesity among ASEAN University Students. AIMS Public Health , 2017, 4(3): 301-313. doi: 10.3934/publichealth.2017.3.301

References

  • 1. World Health Organization (WHO). Global Health Observatory data, 2017. Available from: http://www.who.int/gho/ncd/risk_factors/obesity_text/en/ (accessed 10 January 2017).
  • 2. Ng M, Fleming T, Robinson M, et al. (2014) Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 384: 766-781.    
  • 3. World Health Organization (WHO). Obesity and overweight fact sheet. Department of Sustainable Development and Healthy Environments, 2011. Available from: http://www.searo.who.int/entity/noncommunicable_diseases/media/non_communicable_diseases_obesity_fs.pdf (accessed 10 January 2017).
  • 4. World Health Organization (WHO). Controlling the global obesity epidemic, 2017. Available from: http://www.who.int/nutrition/topics/obesity/en/ (accessed 10 January 2017).
  • 5. Wright M, Adair L, James C, et al. (2015) The association of nutrition behaviors and physical activity with general and central obesity in Caribbean undergraduate students. Rev Panam Salud Publica 38: 278-285.
  • 6. Naik R, Kaneda T (2016) Addressing noncommunicable disease risk factors among young people: Asia's window of opportunity to curb a growing epidemic. Washington, DC: Population Reference Bureau.
  • 7. Goldstein CM, Xie SS, Hawkins MAW, et al. (2015) Reducing risk for cardiovascular disease: Negative health behaviors in college students. Emerg Adulthood 3: 24-36.    
  • 8. Lau RR, Quadrel MJ, Hartman KA (1990) Development and change of young adults' preventive health beliefs and behavior: influence from parents and peers. J Health Soc Behav 31: 240-259.    
  • 9. Peltzer K, Pengpid S, Samuels TA, et al. (2014) Prevalence of overweight/obesity and its associated factors among university students from 22 countries. Int J Environ Res Public Health 11: 7425-7441.    
  • 10. Gopalakrishnan S, Ganeshkumar P, Prakash MV, et al. (2012) Prevalence of overweight/obesity among the medical students, Malaysia. Med J Malays 67: 442-444.
  • 11. Boo NY, Chia GJ, Wong LC, et al. (2010) The prevalence of obesity among clinical students in a Malaysian medical school. Singap Med J 51: 126-132.
  • 12. Banwell C, Lim L, Seubsman SA, et al. (2009) Body mass index and health-related behaviors in a national cohort of 87,134 Thai Open University students. J Epidemiol Community Health 63: 366-372.    
  • 13. Lee RD, Nieman DC (1993) Nutritional assessment. Oxford, UK: Brown & Benchmark.
  • 14. Bastow MD (1982) Anthropometrics revisited. Proc Nutr Soc 41: 381-388.    
  • 15. Krotkiewski M, Björntorp P, Sjoström L, et al. (1983) Impact of obesity on metabolism in men and women. J Clin Invest 72: 1150-1162.    
  • 16. Wen CP, David Cheng TY, Tsai SP, et al. (2009) Are Asians at greater mortality risks for being overweight than Caucasians? Redefining obesity for Asians. Public Health Nutr 12: 497-506.    
  • 17. World Health Organization (WHO).Waist circumference and waist-hip ratio report of a WHO expert consultation Geneva, 8-11 December 2008. 2011. Available from: http://whqlibdoc.who.int/publications/2011/9789241501491eng.pdf (accessed 15 December 2017).
  • 18. An Y, Yi S, Fitzpatrick A, et al. (2013) Appropriate body mass index and waist circumference cutoff for overweight and central obesity among adults in Cambodia. PLoS ONE 8: e77897.    
  • 19. Li WC, Chen IC, Chang YC, et al. (2013) Waist-to-height ratio, waist circumference, and body mass index as indices of cardiometabolic risk among 36,642 Taiwanese adults. Eur J Nutr 52: 57-65.    
  • 20. Wardle J, Steptoe A, Bellisle F, et al. (1997) Healthy dietary practices among European students. Health Psychol 16: 443-450.    
  • 21. Hall JN, Moore S, Harper SB, et al. (2009) Global variability in fruit and vegetable consumption. Amer J Prev Med 36: 402-409.    
  • 22. Craig CL, Marshall AL, Sjöström M, et al. (2003) International physical activity questionnaire: 12-Country reliability and validity. Med Sci Sport Exercise 35: 1381-1395.    
  • 23. International Physical Activity Questionnaire (IPAQ). IPAQ scoring protocol. Available from: https://sites.google.com/site/theipaq/ (accessed on 5 April 2016).
  • 24. van der Ploeg HP, Chey T, Korda RJ, et al. (2012) Sitting time and all-cause mortality risk in 222 497 Australian adults. Arch Intern Med 172: 494-500.    
  • 25. Pengpid S, Peltzer K (2015) Prevalence of overweight and underweight and its associated factors among male and female university students in Thailand. Homo 66: 176-186.    
  • 26. Vadeboncoeur C, Townsend N, Foster C (2015) A meta-analysis of weight gain in first year university students: is freshman 15 a myth? BMC Obes 2: 22.    
  • 27. Seubsman SA, Lim LL, Banwell C, et al. (2010) Socioeconomic status, sex, and obesity in a large national cohort of 15-87-year-old open university students in Thailand. J Epidemiol 20: 13-20.    
  • 28. Hingorjo MR, Syed S, Qureshi MA (2009) Overweight and obesity in students of a dental college of Karachi: lifestyle influence and measurement by an appropriate anthropometric index. J Pak Med Assoc 59: 528-532.
  • 29. Gregori D, Foltran F, Ghidina M, et al. (2011) Understanding the influence of the snack definition on the association between snacking and obesity: a review. Int J Food Sci Nutr 62: 270-275.    
  • 30. Ritchie LD (2012) Less frequent eating predicts greater BMI and waist circumference in female adolescents. Am J Clin Nutr 95: 290-296.    
  • 31. House BT, Shearrer GE, Miller SJ, et al. (2015) Increased eating frequency linked to decreased obesity and improved metabolic outcomes. Int J Obes 39: 136-141.    
  • 32. Fogelholm M, Kanerva N, Männistö S (2015) Association between red and processed meat consumption and chronic diseases: the confounding role of other dietary factors. Eur J Clin Nutr 69: 1060-1065.    
  • 33. Wang Z, Zhang B, Zhai F, et al. (2014) Fatty and lean red meat consumption in China: differential association with Chinese abdominal obesity. Nutr Metab Cardiovasc Dis 24: 869-876.    
  • 34. Horikawa C, Kodama S, Yachi Y, et al. (2011) Skipping breakfast and prevalence of overweight and obesity in Asian and Pacific regions: a meta-analysis. Prev Med 53: 260-267.    
  • 35. World Health Organization (WHO). Cardiovascular diseases (CVDs) fact sheet, 2016. Available from: http://www.who.int/mediacentre/factsheets/fs317/en/ (accessed 10 October 2016).

 

Reader Comments

your name: *   your email: *  

Copyright Info: © 2017, Karl Peltzer, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Copyright © AIMS Press All Rights Reserved