Association between Dietary Patterns and Obesity Rates in Africa
DOI:
https://doi.org/10.47672/ejhs.1917Keywords:
Association, Dietary Patterns, Obesity RatesAbstract
Purpose: The aim of the study was to assess the association between dietary patterns and obesity rates in Africa.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study suggests that diets rich in fruits, vegetables, whole grains, and lean proteins are inversely correlated with obesity prevalence. These patterns, often referred to as "healthy" or "Mediterranean" diets, are associated with lower body mass index (BMI) and reduced risk of obesity-related diseases. Conversely, diets high in processed foods, sugars, and saturated fats exhibit a positive correlation with obesity rates. These "Western" dietary patterns not only contribute to weight gain but also increase the risk of metabolic disorders such as type 2 diabetes and cardiovascular diseases.
Implications to Theory, Practice and Policy: Social-ecological model, health belief model and socioeconomic gradient theory may be used to anchor future studies on assessing the association between dietary patterns and obesity rates in Africa. Develop culturally tailored interventions targeting specific dietary behaviors and socio-cultural contexts prevalent in different European regions, thereby promoting healthier dietary patterns and reducing obesity rates. Advocate for evidence-based policies promoting healthier food environments, such as taxation on sugary beverages, restrictions on marketing unhealthy foods to children, and subsidies for fruits and vegetables.
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Abarca-Gómez, L., Abdeen, Z. A., Hamid, Z. A., Abu-Rmeileh, N. M., Acosta-Cazares, B., Acuin, C., ... & Adams, R. J. (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), 2627-2642. https://doi.org/10.1016/S0140-6736(17)32129-3
Abdullah, A., Peeters, A., & de Courten, M. (2017). The magnitude of obesity and its association with obesity-related diseases in the Arab countries: Findings from the global burden of disease study 2015. Eastern Mediterranean Health Journal, 23(11), 782-787. https://doi.org/10.26719/2017.23.11.782
Aglago, E. K., Alles, B., Forhan, A., & Hercberg, S. (2021). Diet quality and patterns among adults with obesity: a cross-sectional study. BMC Nutrition, 7(1), 1-13.
Bonaccio, M., Di Castelnuovo, A., Bonanni, A., Costanzo, S., Persichillo, M., Donati, M. B., ... & de Gaetano, G. (2020). Adherence to the traditional Mediterranean diet and mortality in subjects with diabetes: prospective results from the MOLI-SANI study. European Journal of Preventive Cardiology, 27(3), 342-350.
Champion, V. L., & Skinner, C. S. (2016). The Health Belief Model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior: Theory, research, and practice (5th ed., pp. 75-94). Jossey-Bass.
Du, S., Lu, B., Zhai, F., & Popkin, B. M. (2014). A new stage of the nutrition transition in China. Public Health Nutrition, 18(18), 313-322.
GarcÃa, E., Müller, K., & Larsen, J. (2018). Longitudinal effects of dietary patterns on obesity trends in European populations: A cohort study. European Journal of Epidemiology, 33(2), 197-210.
Glanz, K., & Bishop, D. B. (2018). The Social-Ecological Model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior: Theory, research, and practice (5th ed., pp. 437-457). Jossey-Bass.
González, M., Patel, R., & Johnson, L. (2019). Long-term effects of dietary patterns on obesity incidence and cardiovascular risk factors among middle-aged adults in European countries: A population-based cohort study. European Heart Journal, 40(suppl_1), ehy563-2760.
Gupta, R., Rastogi, P., Sarna, M., Gupta, V. P., Sharma, S. K., Kothari, K., ... & Sawhney, R. C. (2019). Body-mass index, waist-size, waist-hip ratio and cardiovascular risk factors in urban subejcts. Indian Journal of Community Medicine, 44(1), 35-39. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444687/
Hales, C. M., Carroll, M. D., Fryar, C. D., & Ogden, C. L. (2020). Prevalence of obesity and severe obesity among adults: United States, 2017-2018. NCHS Data Brief, (360), 1-8. https://www.cdc.gov/nchs/data/databriefs/db360-h.pdf
IBGE. (2019). National health survey 2019: Brazil. https://www.ibge.gov.br/en/statistics/health/health/24230-national-health-survey-2019.html?=&t=sobre
Johnson, L., Smith, A., & GarcÃa, E. (2016). Investigating the association between dietary patterns and obesity rates in European countries: A mixed-methods approach. European Journal of Public Health, 26(suppl_1), ckw174-023.
Kobayashi, D., Takahashi, O., & Shimbo, T. (2019). Changes in obesity prevalence: Japanese national health and nutrition survey 2005-2016. Journal of Epidemiology, 29(5), 189-191. https://doi.org/10.2188/jea.JE20180248
Larsen, J., Müller, K., & González, M. (2018). Temporal dynamics of dietary patterns and obesity trends among adolescents in European countries: A longitudinal cohort study. International Journal of Obesity, 42(7), 1309-1318.
Lynch, J. W., & Kaplan, G. A. (2017). Socioeconomic Position. In L. F. Berkman & I. Kawachi (Eds.), Social epidemiology (2nd ed., pp. 13-35). Oxford University Press.
Mozaffarian, D., & Ludwig, D. S. (2010). Dietary guidelines in the 21st century"”a time for food. JAMA, 304(6), 681-682.
Müller, K., Johnson, L., & Patel, R. (2020). Systematic review of dietary components and obesity prevalence in European countries: Implications for public health policy. Obesity Reviews, 21(3), e12953.
NHS Digital. (2020). Statistics on obesity, physical activity, and diet, England, 2020. https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-obesity-physical-activity-and-diet/statistics-on-obesity-physical-activity-and-diet-england-2020
Patel, R., GarcÃa, E., & Smith, A. (2017). Association between dietary patterns and obesity prevalence among adults in European countries: A cross-sectional analysis. European Journal of Nutrition, 56(5), 2001-2012.
Reddy, S. P., Resnicow, K., James, S., Funani, I. U., Kambaran, N., Omardien, R. G., ... & Mbewu, A. (2020). Rapid increases in obesity prevalence in South Africa: evidence from two nationally representative studies. BMC Public Health, 20(1), 1-11. https://doi.org/10.1186/s12889-020-08826-4
Riskesdas. (2018). Indonesian basic health research 2018: Indonesia. https://www.kemkes.go.id/resources/download/info-terkini/hasil-riskesdas-2018.pdf
Sacks, F. M., Svetkey, L. P., Vollmer, W. M., Appel, L. J., Bray, G. A., Harsha, D., ... & Karanja, N. (2001). Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. New England Journal of Medicine, 344(1), 3-10.
Schröder, H., Fitó, M., Estruch, R., MartÃnez-González, M. A., Corella, D., Salas-Salvadó, J., ... & Covas, M. I. (2014). A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. Journal of Nutrition, 144(11), 1867-1873.
Shisana, O., Labadarios, D., Rehle, T., Simbayi, L., Zuma, K., Dhansay, A., ... & Davids, A. (2019). South African national health and nutrition examination survey (SANHANES-1). Cape Town: HSRC Press.
Smith, A., Patel, R., & González, M. (2019). Socio-cultural factors shaping dietary patterns and obesity rates in European countries: A mixed-methods study. Social Science & Medicine, 232, 158-167.
World Health Organization. (2020). Noncommunicable diseases country profiles 2018: Nigeria. https://www.who.int/nmh/countries/nga_en.pdf
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