Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-13T04:31:21.109Z Has data issue: false hasContentIssue false

Prevalence of overweight and obesity among adolescents in Bangladesh: do eating habits and physical activity have a gender differential effect?

Published online by Cambridge University Press:  24 May 2019

Md. Mostaured Ali Khan
Affiliation:
Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh
Masud Karim
Affiliation:
Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh
Ahmed Zohirul Islam
Affiliation:
Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh
Md. Rafiqul Islam*
Affiliation:
Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh
Hafiz T. A. Khan
Affiliation:
The Graduate School, University of West London, London, UK
Md. Ibrahim Khalilullah
Affiliation:
Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh
*
*Corresponding author. Email: rafique_pops@yahoo.com

Abstract

The aim of this study was to examine the gender differential effects of eating habits and physical activity on overweight and obesity among school-aged adolescents in Bangladesh. Nationally representative data extracted from the 2014 Global School-based Student Health Survey (GSHS) were utilized. The survey collected information related to physical and mental health from 2989 school-aged adolescents in Bangladesh. An exploratory data analysis and multivariate logistic regression model were employed in this study. Female adolescents were at a lower risk of being overweight or obese (AOR=0.573) than males, with a prevalence of 7.4% (males: 9.9%). The results showed that high consumption of vegetables (both: AOR=0.454; males: AOR=0.504; females: AOR=0.432), high soft drink consumption (both: AOR=2.357; males: AOR=2.929; females: AOR=1.677), high fast food consumption (both: AOR=2.777; males: AOR=6.064; females: AOR=1.695), sleep disturbance (both: AOR=0.675; males: AOR=0.590; females: AOR=0.555) and regular walking or cycling to school (both: AOR=0.472; males: AOR=0.430; females: AOR=0.557) were vital influencing factors for being overweight or obese among adolescents for both sexes. Sedentary activities during leisure time were also identified as significant predictors of being overweight or obese for males. Regular fruit and vegetable consumption, the avoidance of soft drinks and fast food, an increase in vigorous physical activity, regular attendance at physical education classes and fewer sedentary leisure time activities could all help reduce the risk of being overweight or obese for both sexes.

Type
Research Article
Copyright
© Cambridge University Press, 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Biswas, T, Uddin, MJ, Mamun, AA, Pervin, S and Garnett, SP (2017) Increasing prevalence of overweight and obesity in Bangladeshi women of reproductive age: findings from 2004 to 2014. PLoS One 12(7), e0181080.CrossRefGoogle ScholarPubMed
Brug, J, van Stralen, MM, te Velde, SJ, Chinapaw, MJ, De Bourdeaudhuij, I et al. (2012) Differences in weight status and energy-balance related behaviors among schoolchildren across Europe: the ENERGY-project. PLoS One 7(4), e34742.CrossRefGoogle ScholarPubMed
Cantoral, A, Téllez‐Rojo, MM, Ettinger, A, Hu, H, Hernández‐Ávila, M and Peterson, K (2016) Early introduction and cumulative consumption of sugar‐sweetened beverages during the pre‐school period and risk of obesity at 8–14 years of age. Pediatric Obesity 11(1), 6874.CrossRefGoogle ScholarPubMed
Chaput, JP, Barnes, J, Tremblay, M, Fogelholm, M, Hu, G et al. (2018) Thresholds of physical activity associated with obesity by level of sedentary behaviour in children. Pediatric Obesity 13, 450457.CrossRefGoogle ScholarPubMed
Chau, JY, van der Ploeg, HP, Merom, D, Chey, T and Bauman, AE (2012) Cross-sectional associations between occupational and leisure-time sitting, physical activity and obesity in working adults. Preventive Medicine 54(3), 195200.CrossRefGoogle ScholarPubMed
Collaboration, NRF (2017) Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. The Lancet 390(10113), 26272642.Google Scholar
Davis, B and Carpenter, C (2009) Proximity of fast-food restaurants to schools and adolescent obesity. American Journal of Public Health 99(3), 505510.CrossRefGoogle ScholarPubMed
De Onis, M, Blössner, M and Borghi, E (2010) Global prevalence and trends of overweight and obesity among preschool children. American Journal of Clinical Nutrition 92(5), 12571264.CrossRefGoogle ScholarPubMed
Dereń, K, Nyankovskyy, S, Nyankovska, O, Łuszczki, E, Wyszyńska, J et al. (2018) The prevalence of underweight, overweight and obesity in children and adolescents from Ukraine. Scientific Reports 8(1), 3625.CrossRefGoogle ScholarPubMed
Di Angelantonio, E, Bhupathiraju, SN, Wormser, D, Gao, P, Kaptoge, S et al. (2016) Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. The Lancet 388(10046), 776786.CrossRefGoogle Scholar
Epstein, LH, Gordy, CC, Raynor, HA, Beddome, M, Kilanowski, CK and Paluch, R (2012) Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obesity 9(3), 171178.CrossRefGoogle Scholar
Fernandes, M and Sturm, R (2010) Facility provision in elementary schools: correlates with physical education, recess, and obesity. Preventive Medicine 50 (Supplement 1), S30S35.CrossRefGoogle ScholarPubMed
Field, AE, Gillman, MW, Rosner, B, Rockett, HR and Colditz, GA (2003) Association between fruit and vegetable intake and change in body mass index among a large sample of children and adolescents in the United States. International Journal of Obesity 27(7), 821826.CrossRefGoogle ScholarPubMed
Flegal, KM, Kit, BK, Orpana, H and Graubard, BI (2013) Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA 309(1), 7182.CrossRefGoogle ScholarPubMed
Hodge, AM, Bassett, JK, Milne, RL, English, DR and Giles, GG (2018) Consumption of sugar-sweetened and artificially sweetened soft drinks and risk of obesity-related cancers. Public Health Nutrition 21(9), 16181626.CrossRefGoogle ScholarPubMed
Hood, NE, Colabianchi, N, Terry‐McElrath, YM, O’Malley, PM and Johnston, LD (2014) Physical activity breaks and facilities in US secondary schools. Journal of School Health 84(11), 697705.CrossRefGoogle ScholarPubMed
Hossain, MM, Islam, MR, Sarker, ASR, Khan, MMA and Taneepanichskul, S (2018) Prevalence and determinants risk factors of underweight and overweight among women in Bangladesh. Obesity Medicine 11, 15 Google Scholar
Hu, FB (2013) Resolved: there is sufficient scientific evidence that decreasing sugar‐sweetened beverage consumption will reduce the prevalence of obesity and obesity‐related diseases. Obesity Reviews 14(8), 606619.CrossRefGoogle ScholarPubMed
Jinsook, K (2012) Are physical education-related state policies and schools’ physical education requirement related to children’s physical activity and obesity? Journal of School Health 82(6), 268276.Google Scholar
Lauby-Secretan, B, Scoccianti, C, Loomis, D, Grosse, Y, Bianchini, F and Straif, K (2016) Body fatness and cancer – viewpoint of the IARC Working Group. New England Journal of Medicine 375(8), 794798.CrossRefGoogle ScholarPubMed
Laxy, M, Malecki, KC, Givens, ML, Walsh, MC and Nieto, FJ (2015) The association between neighborhood economic hardship, the retail food environment, fast food intake, and obesity: findings from the Survey of the Health of Wisconsin. BMC Public Health 15(1), 237.CrossRefGoogle ScholarPubMed
Li, M, Xue, H, Wen, M, Wang, W and Wang, Y (2017) Nutrition and physical activity related school environment/policy factors and child obesity in China: a nationally representative study of 8573 students in 110 middle schools. Pediatric Obesity 12(6), 485493.Google Scholar
Lohman, B J, Gillette, MT and Neppl, TK (2016) Harsh parenting and food insecurity in adolescence: the association with emerging adult obesity. Journal of Adolescent Health 59(1), 123127.CrossRefGoogle ScholarPubMed
Lucan, SC and DiNicolantonio, JJ (2015) How calorie-focused thinking about obesity and related diseases may mislead and harm public health. An alternative. Public Health Nutrition 18(4), 571581.CrossRefGoogle ScholarPubMed
Lyons, AA, Park, J and Nelson, CH (2008) Food insecurity and obesity: a comparison of self-reported and measured height and weight. American Journal of Public Health 98(4), 751757.CrossRefGoogle ScholarPubMed
Mannan, M, Mamun, A, Doi, S and Clavarino, A (2016) Prospective associations between depression and obesity for adolescent males and females – a systematic review and meta-analysis of longitudinal studies. PLoS One 11(6), e0157240.CrossRefGoogle ScholarPubMed
Moore, LV, Diez Roux, AV, Nettleton, JA, Jacobs, DR and Franco, M (2009) Fast-food consumption, diet quality, and neighborhood exposure to fast food: the multi-ethnic study of atherosclerosis. American Journal of Epidemiology 170(1), 2936.CrossRefGoogle ScholarPubMed
Naiman, DI, Leatherdale, ST, Gotay, C and Mâsse, LC (2015) School factors associated with the provision of physical education and levels of physical activity among elementary school students in Ontario. Canadian Journal of Public Health 106(5), 290296.CrossRefGoogle ScholarPubMed
Nielsen, L, Danielsen, K and Sørensen, T (2011) Short sleep duration as a possible cause of obesity: critical analysis of the epidemiological evidence. Obesity Reviews 12(2), 7892.CrossRefGoogle ScholarPubMed
Ng, N, Santosa, A and Kowal, P (2017) Sitting time and obesity among older adults in low- and middle-income countriesNawi Ng. European Journal of Public Health 27 (Supplement 3), doi: 10.1093/eurpub/ckx186.042CrossRefGoogle Scholar
Ogden, CL, Carroll, MD and Lawman, HG (2016) Trends in obesity prevalence among children and adolescents in the United States, 1988–1994 through 2013–2014. JAMA 315(21), 22922299.CrossRefGoogle ScholarPubMed
Onis, Md, Onyango, AW, Borghi, E, Siyam, A, Nishida, C and Siekmann, J (2007) Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization 85(9), 660667.CrossRefGoogle ScholarPubMed
Peng, W, Goldsmith, R and Berry, EM (2017) Demographic and lifestyle factors associated with adherence to the Mediterranean diet in relation to overweight/obesity among Israeli adolescents: findings from the Mabat Israeli national youth health and nutrition survey. Public Health Nutrition 20(5), 883892.CrossRefGoogle ScholarPubMed
Rautiainen, S, Wang, L, Lee, IM, Manson, JE, Buring, JE and Sesso, HD (2015) Higher intake of fruit, but not vegetables or fiber, at baseline is associated with lower risk of becoming overweight or obese in middle-aged and older women of normal bmi at baseline. Journal of Nutrition 145(5), 960968.CrossRefGoogle ScholarPubMed
Reue, K (2017) Sex differences in obesity: X chromosome dosage as a risk factor for increased food intake, adiposity and co-morbidities. Physiology & Behavior 176, 174182.CrossRefGoogle ScholarPubMed
Robaina, KA and Martin, KS (2013) Food insecurity, poor diet quality, and obesity among food pantry participants in Hartford, CT. Journal of Nutrition Education and Behavior 45(2), 159164.CrossRefGoogle ScholarPubMed
Rohde, JF, Larsen, SC, Ängquist, L, Olsen, NJ, Stougaard, M, Mortensen, EL et al. (2017) Effects of the Healthy Start randomized intervention on dietary intake among obesity-prone normal-weight children. Public Health Nutrition 20(16), 29882997.CrossRefGoogle ScholarPubMed
Rosenheck, R (2008) Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. Obesity Reviews 9(6), 535547.CrossRefGoogle ScholarPubMed
Sanjeevi, N, Freeland-Graves, J and Hersh, M (2018) Food insecurity, diet quality and body mass index of women participating in the Supplemental Nutrition Assistance Program: the role of intrapersonal, home environment, community and social factors. Appetite 125, 109117.CrossRefGoogle ScholarPubMed
Shafique, S, Akhter, N, Stallkamp, G, de Pee, S, Panagides, D and Bloem, MW (2007) Trends of under- and overweight among rural and urban poor women indicate the double burden of malnutrition in Bangladesh. International Journal of Epidemiology 36(2), 449457.CrossRefGoogle Scholar
Singh, GM, Danaei, G, Farzadfar, F, Stevens, GA, Woodward, M, Wormser, D et al. (2013) The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis. PLoS One 8(7), e65174.CrossRefGoogle ScholarPubMed
Virtanen, M, Kivimäki, H, Ervasti, J, Oksanen, T, Pentti, J, Kouvonen, A et al. (2015) Fast-food outlets and grocery stores near school and adolescents’ eating habits and overweight in Finland. European Journal of Public Health 25(4), 650655.CrossRefGoogle ScholarPubMed
WHO (2012) Global Recommendations on Physical Activity for Health. World Health Organization, Geneva, Switzerland.Google Scholar
WHO (2015) BMI-for-Age (5–19 Years). World Health Organization, Geneva, Switzerland. URL: http://www.who.int/growthref/who2007_bmi_for_age/en/ (accessed 12th May 2018).Google Scholar
WHO (2018) Obesity and Overweight. World Health Organization, Geneva, Switzerland. URL: http://www.who.int/mediacentre/factsheets/fs311/en/ (accessed 15th May 2018).Google Scholar
WHO (2017) Bangladesh – Global School-based Student Health Survey 2014. World Health Organization, Geneva, Switzerland. URL: https://nada.searo.who.int/index.php/catalog/33 (accessed 2nd May 2018).Google Scholar
Young, DR, Koebnick, C and Hsu, JWY (2017) Sociodemographic associations of 4‐year overweight and obese incidence among a racially diverse cohort of healthy weight 18‐year‐olds. Pediatric Obesity 12(6), 502510.CrossRefGoogle ScholarPubMed