Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-26T17:18:29.116Z Has data issue: false hasContentIssue false

Overweight/obesity among 15- to 24-year-old women in Ghana: 21-year trend, future projections and socio-demographic correlates

Published online by Cambridge University Press:  15 October 2020

Derek Anamaale Tuoyire*
Affiliation:
Department of Community Medicine, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Ghana
*
Corresponding author. Email: [email protected]

Abstract

Although developing countries are experiencing some of the fastest rises in the prevalence of adult overweight and obesity, little is known about the pace of the problem among young people in transition from adolescence to adulthood. This study examined the trend and associated socio-demographic predictors of overweight/obesity (BMI ≥25kg/m2) from 1993 to 2014 among women aged 15–24 years in Ghana and projected the future prevalence from 2019 to 2040. Descriptive statistics, the arithmetic linear change model, and binary logistic regression were applied to data on women aged 15–24 years from five nationally representative Ghana Demographic and Health Surveys conducted in 1993 (N=488), 1998 (N=517), 2003 (N=1832), 2008 (N=1693) and 2014 (N=1491). Overall, overweight/obesity among women aged 15–24 years almost tripled between the 1993 (6.8%; 95% CI=4.9–9.3) and 2014 (19.5%; 95% CI=17.3–21.2) surveys. Based on the arithmetic linear change model, overweight/obesity is projected to increase linearly to over 35% among the 15–24 year cohort of women by 2040. Age, educational level, wealth status, occupation, type of locality, ethnicity, frequency of viewing TV per week, parity and contraceptive use were found to be significant predictors of overweight/obesity among this sub-group of women. The trend of overweight/obesity demonstrated in this group of women could potentially provide momentum for further increases in the prevalence of overweight/obesity and associated health outcomes in the coming years in Ghana. This underscores the need for urgent national-level public health intervention efforts to curtail the problem.

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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

Abdulai, A (2010) Socio-economic characteristics and obesity in underdeveloped economies: does income really matter? Applied Economics 42(2), 157169.CrossRefGoogle Scholar
Adesina, AF, Peterside, O, Anochie, I and Akani, NA (2012) Weight status of adolescents in secondary schools in port Harcourt using Body Mass Index (BMI). Italian Journal of Paediatrics 38 (1), 31.CrossRefGoogle Scholar
Agbeko, MP, Akwasi, KK, Andrews, DA and Gifty, OB (2013) Predictors of overweight and obesity among women in Ghana. Open Obesity Journal 5(1), 7281 CrossRefGoogle Scholar
Bell, AC, Adair, LS and Popkin, BM (2004) Understanding the role of mediating risk factors and proxy effects in the association between socio-economic status and untreated hypertension. Social Science & Medicine 59(2), 275283.CrossRefGoogle ScholarPubMed
Braithwaite, I, Stewart, AW, Hancox, R J, Beasley, R, Murphy, R and Mitchell, EA (2013) The worldwide association between television viewing and obesity in children and adolescents: cross-sectional study. PLoS One 8(9), e74263.CrossRefGoogle ScholarPubMed
Chen, CY, Pereira, MA, Kim, KH, Erickson, D, Jacobs, DR, Zgibor, JC et al. (2015) Fifteen-year prospective analysis of television viewing and adiposity in African-American and Caucasian men and women. SAGE Open 5(3), 215824401560048.CrossRefGoogle Scholar
Cleland, VJ, Schmidt, MD, Dwyer, T and Venn, AJ (2008) Television viewing and abdominal obesity in young adults: is the association mediated by food and beverage consumption during viewing time or reduced leisure-time physical activity? American Journal of Clinical Nutrition 87, 11481155.CrossRefGoogle ScholarPubMed
Cohen, E, Boetsch, G, Palstra, FP and Pasquet, P (2013) Social valorisation of stoutness as a determinant of obesity in the context of nutritional transition in Cameroon: the Bamiléké case. Social Science & Medicine 96, 2432.CrossRefGoogle ScholarPubMed
Dake, F and Fuseini, K (2015) Recreation, transportation or labour saving? Examining the association between household asset ownership and body mass index among Ghanaian women. BMC Obesity 2(1), 45.CrossRefGoogle ScholarPubMed
Dake, FA, Tawiah, EO and Badasu, DM (2011) Sociodemographic correlates of obesity among Ghanaian women. Public Health Nutrition 14(7), 12851291.CrossRefGoogle ScholarPubMed
Dake, FAA (2013) Obesity among Ghanaian women: past prevalence, future incidence. Public Health 127(6), 590592.CrossRefGoogle Scholar
de-Graft Aikins, A (2014) Food beliefs and practices during pregnancy in Ghana: implications for maternal health interventions. Health Care for Women International 35(7–9), 954972.CrossRefGoogle ScholarPubMed
de Onis, M, Blossner, 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
de Onis, M, 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
Dinsa, GD, Goryakin, Y, Fumagalli, E and Suhrcke, M (2012) Obesity and socioeconomic status in developing countries: a systematic review. Obesity Reviews 13(11), 10671079.CrossRefGoogle ScholarPubMed
Dixon, J (2010). The effect of obesity on health outcomes. Molecular and Cellular Endocrinology 316(2) 104108.CrossRefGoogle ScholarPubMed
Doku, DT and Neupane, S (2015) Double burden of malnutrition: increasing overweight and obesity and stall underweight trends among Ghanaian women. BMC Public Health 15(1), 670.CrossRefGoogle ScholarPubMed
Eltinge, J, Parsons, V and Jang, D (1997) Differences between complex-design-based and IID-based analyses of survey data: examples from Phase I of NHANES III. Statistics 19, 39.Google Scholar
Ersoy, C and Imamoglu, S (2006). Comparison of the obesity risk and related factors in employed and unemployed (housewife) premenopausal urban women. Diabetes Research and Clinical Practice 72(2), 190196.CrossRefGoogle ScholarPubMed
George, M, Smith, S, Swanson, D and Tayman, J (2004) Population projections. In Siegel, J and Swanson, D (eds) The Methods and Materials of Demography. Elsevier Academic Press, San Diego, pp. 1128 Google Scholar
GSS, GHS and ICF Macro (2015) Ghana Demographic and Health Survey 2014. GSS, GHS, and ICF International, Rockville, MD, USA.Google Scholar
Grimes, DA, Lopez, LM, O’Brien, P and Raymond, EG (2009) Progestin-only pills for contraception. In Grimes, DA (ed.) Cochrane Database of Systematic Reviews. John Wiley & Sons Ltd, Chichester, UK. URL: http://doi.org/10.1002/14651858.CD007541 Google Scholar
ICF International (2012) Biomarker Field Manual: Demographic and Health Surveys Methodology. ICF International, Calverton, MD, USA.Google Scholar
Jokela, M, Elovainio, M and Kivimäki, M (2008) Lower fertility associated with obesity and underweight. the US national longitudinal survey of youth. American Journal of Clinical Nutrition 88(4), 886893.CrossRefGoogle ScholarPubMed
Kinnunen, TI and Neupane, S (2014) Prevalence of overweight among women of childbearing age in Nepal: trends from 2001 to 2011 and associations with socio-demographic factors. Maternal and Child Health Journal 18(8), 18461853.10.1007/s10995-013-1428-1CrossRefGoogle ScholarPubMed
Lake, AA, Townshend, TG and Alvanides, S (2010) Obesogenic Environments :Complexities, Perceptions and Objective Measures. Wiley-Blackwell, New York.CrossRefGoogle Scholar
Maher, C, Olds, TS, Eisenmann, JC and Dollman, J (2012) Screen time is more strongly associated than physical activity with overweight and obesity in 9- to 16-year-old Australians. Acta Paediatrica 101(11), 11701174.CrossRefGoogle ScholarPubMed
Manyanga, T, El-Sayed, H, Doku, DT and Randall, JR (2014) The prevalence of underweight, overweight, obesity and associated risk factors among school-going adolescents in seven African countries. BMC Public Health 14(1), 887.CrossRefGoogle ScholarPubMed
Nelson, MC, Kocos, R, Lytle, LA and Perry, CL (2009) Understanding the perceived determinants of weight-related behaviors in late adolescence: a qualitative analysis among college youth. Journal of Nutrition Education and Behavior 41(4), 287292.CrossRefGoogle ScholarPubMed
Neuman, M, Kawachi, I, Gortmaker, S and Subramanian, SV (2013) Urban–rural differences in BMI in low- and middle-income countries: the role of socioeconomic status. American Journal of Clinical Nutrition 97(2), 428436.CrossRefGoogle ScholarPubMed
Ng, M, Fleming, T, Robinson, M, Thomson, B, Graetz, N, Margono, C 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(9945), 766781.10.1016/S0140-6736(14)60460-8CrossRefGoogle ScholarPubMed
Ofori-Asenso, R, Agyeman, AA, Laar, A and Boateng, D (2016) Overweight and obesity epidemic in Ghana – a systematic review and meta-analysis. BMC Public Health, 16(1), 1239.CrossRefGoogle Scholar
Park, M, Falconer, C, Viner, R and Kinra, S (2012) The impact of childhood obesity on morbidity and mortality in adulthood: a systematic review. Obesity Reviews 13(11), 9851000.CrossRefGoogle ScholarPubMed
Poobalan, A and Aucott, L (2016) Obesity among young adults in developing countries: a systematic overview. Current Obesity Reports 5(1), 213.CrossRefGoogle ScholarPubMed
Poobalan, AS, Aucott, LS, Clarke, A and Smith, WCS (2012) Physical activity attitudes, intentions and behaviour among 18 to 25 year olds: a mixed method study. BMC Public Health 12(1), 110.CrossRefGoogle ScholarPubMed
Renzaho, AM (2004) Fat, rich and beautiful: changing socio-cultural paradigms associated with obesity risk, nutritional status and refugee children from sub-Saharan Africa. Health & Place 10(1), 105113.CrossRefGoogle ScholarPubMed
Rey-López, JP, Vicente-Rodríguez, G, Biosca, M and Moreno, LA (2008) Sedentary behaviour and obesity development in children and adolescents. Nutrition, Metabolism and Cardiovascular Diseases 18(3), 242251.CrossRefGoogle ScholarPubMed
Simmel, G (1910) Soziologie der Mahlzeit (sociology of the meal). In Simmel, G (eds) Der Zeitgeist zum Berliner Tageblatt. Berliner Universitat, pp. 12.Google Scholar
Stevens, GA, Singh, GM, Lu, Y, Danaei, G, Lin, JK, Finucane, MM et al. (2012) National, regional, and global trends in adult overweight and obesity prevalences. Population Health Metrics 10(1), 22.CrossRefGoogle ScholarPubMed
Sukasih, AS and Ave, M (1989) Evaluation of inferential performance through confidence bounds for power curves. Joint Statistical Meetings 3, 33843389.Google Scholar
Tucker, LA and Bagwell, M (1991) Television viewing and obesity in adult females. American Journal of Public Health 81(7), 908911.CrossRefGoogle ScholarPubMed
Tuoyire, DA (2015) Overweight and obesity among women in Ghana. PhD thesis, University of Cape Coast.Google Scholar
Tuoyire, DA, Kumi-Kyereme, A and Doku, DT (2016) Socio-demographic trends in overweight and obesity among parous and nulliparous women in Ghana. BMC Obesity 3(1), 44.CrossRefGoogle ScholarPubMed
Wells, JCK (2012) Obesity as malnutrition: the role of capitalism in the obesity global epidemic. American Journal of Human Biology, 24(3), 261276.10.1002/ajhb.22253CrossRefGoogle ScholarPubMed
WHO (2000) Obesity: Preventing and Managing the Global Epidemic. WHO, Geneva.Google Scholar
WHO (2017a) Controlling the Global Obesity Epidemic. URL: http://www.who.int/nutrition/topics/obesity/en/ (accessed 31st March 2020).Google Scholar
WHO (2017b) Obesity and Overweight. URL: http://www.who.int/mediacentre/factsheets/fs311/en/ (accessed 17th July 2020).Google Scholar