https://doi.org/10.4081/itjm.2023.1630

Healthy diet, prevalence and factors associated among adults of Nekemte dwellers, Oromia State, Western Ethiopia

Vol. 17 No. 3 (2023)
Submitted: 15 July 2023
Accepted: 10 August 2023
Published: 20 November 2023
Health diet practice, prevalence, associated factors, adulthood, Nekemte
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Authors

Alemu Adeba
alemuadeba7@gmail.com
https://orcid.org/0000-0002-4384-9827
Human Nutrition Department, Wallaga University, Nekemte City, West Oromia; Human Nutrition & Dietetics Department, Institute of Health, Jimma University, Ethiopia.
Dessalegn Tamiru
https://orcid.org/0000-0002-9534-031X
Human Nutrition & Dietetics Department, Institute of Health, Jimma University, Ethiopia.
Tefera Belachew
Human Nutrition & Dietetics Department, Institute of Health, Jimma University, Ethiopia.

Introduction. Adaption and adoption of a healthy lifestyle remain challenging worldwide. An unhealthy diet is the core risk of lifestyle illnesses. However, the status of a healthy diet and its predictors were not assessed in Nekemte town targeting middle-aged adulthoods. The study was designed to assess healthy diet, prevalence and factors associated among middle-aged adults in Nekemte town from January 15, 2019, to February 30, 2019. Materials and Methods. A descriptive epidemiological study design typically cross-sectional analysis was applied in Nekemte town on middle-aged adults. Primary data was gathered by using a questionnaire and checked for its normality. Factors associated with dependent variables were analyzed with logistic regressions and their significance was determined at P<0.05. Results. The status of dieting practice was 73.31% (unhealthy) and 26.69% (healthy), respectively. This study showed that being low income (P=0.001), not married (P=0.001), and daily meal frequency [adjusted odds ratio (AOR): 1.91, 95% confidence interval (CI): [1.04, 2.71]) are associated with unhealthy diets. The odds of having an unhealthy diet were almost 3 times (AOR=3.20, [95% CI: (2.04, 5.98) higher for illiterate compared to literate participants. In addition, an unhealthy diet was nearly 5 times (AOR: 4.87, 95% CI: [3.23, 7.65]) higher for having poor knowledge of healthy diet compared to alert participants. Conclusions. The researchers identified unhealthy diets practiced highly by the study samples of the populations.

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Citations

Crossref
Scopus
Google Scholar
Europe PMC
WHO. Healthy diet: Keys to eating well. World Health Organization, 2020.
Peltzer K, Pengpid S, Samuels T, et al. Prevalence of overweight/ obesity and its associated factors among university students from 22 countries. Int J Environ Res Public Health 2014;11:7425-41. DOI: https://doi.org/10.3390/ijerph110707425
Gholizadeh F, Moludi J, Lotfi Yagin N, et al. The Relation of Dietary Diversity Score and Food Insecurity to Metabolic Syndrome Features and Glucose Level among Pre-Diabetes Subjects. Prim. Care Diabetes 2018;12:338-44. DOI: https://doi.org/10.1016/j.pcd.2018.03.003
Terrio K, Auld GW. Osteoporosis knowledge, calcium intake, and weight-bearing physical activity in three age groups of women. J Community Health 2002;27:307-20. DOI: https://doi.org/10.1023/A:1019840709367
Food and Agricultural Organization of the UN. Plates, pyramids, planet. Developments in national and sustainable dietary guidelines, 2016. Available from: http://www.fao.org/documents/card/en/c/d8dfeaf1-f859-4191-954fe8e1388cd0b7/
Arimond M, Wiesmann D, Becquey E, et al. Dietary diversity as a measure of the micronutrient adequacy of women’s diets in resource-poor areas: summary of results from five sites. Food and nutrition technical assistance ii project (FANTA-2 Bridge). Washington DC: FHI 360;2011.
Nguyen PH, Avula R, Ruel MT, et al. Maternal and child dietary diversity are associated in Bangladesh, Vietnam, and Ethiopia. J Nutr 2013;143:1176-83. DOI: https://doi.org/10.3945/jn.112.172247
Vandevijvere S, De Vriese S, Huybrechts I, et al. Overall and within-food group diversity are associated with dietary quality in Belgium. Public Health Nutr 2010;13:1965-73. DOI: https://doi.org/10.1017/S1368980010001606
Ruel MT. Operationalizing dietary diversity: a review of measurement issues and research priorities. J Nutr 2003;133:3911S-26S. DOI: https://doi.org/10.1093/jn/133.11.3911S
Dao MC, Subar AF, Warthon-Medina M, et al. Dietary assessment toolkits: an overview. Public Health Nutr 2019;22:404-18. DOI: https://doi.org/10.1017/S1368980018002951
Workicho A, Belachew T, Tolu G, et al. Household dietary diversity and animal source food consumption in Ethiopia: evidence from the 2011 Welfare Monitoring Survey. BMC Public Health 2016;16:1192. DOI: https://doi.org/10.1186/s12889-016-3861-8
Taffesse AS, Dorosh P, Asrat S. Crop production in Ethiopia: regional patterns and trends. Food and Agriculture in Ethiopia: Progress and Policy Challenges 2012;74:53. DOI: https://doi.org/10.9783/9780812208610
Goshu D, Kassa B, Ketema M. Measuring diet quantity and quality dimensions of food security in rural Ethiopia. J Develop Agric Econ 2013;5:174-85. DOI: https://doi.org/10.5897/JDAE12.141
Afshin A, Forouzanfar MH, Reitsma MB, et al. GBD 2015 Obesity Collaborators, Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med 2017;377:13-27. DOI: https://doi.org/10.1056/NEJMoa1614362
Okafor CI. The metabolic syndrome in Africa: current trends. Indian J Endocrinol Metab 2012;16:56-66. DOI: https://doi.org/10.4103/2230-8210.91191
Darmon N, Drewnowski A. Does social class predict diet quality? Am J Clin Nutr 2008;87:1107-17. DOI: https://doi.org/10.1093/ajcn/87.5.1107
Rehm CD, Peñalvo JL, Afshin A, Mozaffarian D. Dietary intakes among US adults, 1999-2012. JAMA 2016;315:2542-53. DOI: https://doi.org/10.1001/jama.2016.7491
Livingstone KM, Olstad DL, Leech RM, et al. Socioeconomic Inequities in Diet Quality and Nutrient Intakes among Australian Adults: Findings from a Nationally Representative Cross-Sectional Study. Nutrients 2017;9: 1-17. DOI: https://doi.org/10.3390/nu9101092
National Diet and Nutrition Survey. Diet, nutrition and physical activity in 2020: a follow-up study during COVID-19. Public Health England. Available from: www.gov.uk/phe
Guillaumie L, Godin G, Vezina-Im LA. Psychosocial determinants of fruit and vegetable intake in adult population: A systematic review. Int J Behav Nutr Phys Act 2010;7:12. DOI: https://doi.org/10.1186/1479-5868-7-12
Thornton RLJ, Glover CM, Cené CW, et al. Evaluating strategies for reducing health disparities by addressing the social determinants of health. Health Aff 2016;35:1416-23. DOI: https://doi.org/10.1377/hlthaff.2015.1357

How to Cite

Adeba, A., Tamiru, D., & Belachew, T. (2023). Healthy diet, prevalence and factors associated among adults of Nekemte dwellers, Oromia State, Western Ethiopia. Italian Journal of Medicine, 17(3). https://doi.org/10.4081/itjm.2023.1630
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