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
Abstract Views: 805
PDF: 252
HTML: 37
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

PlumX Metrics

PlumX Metrics  provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

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
Copyright (c) 2023 the Author(s) Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.