Factors Influencing Obesity Levels in Productive Age 20-24 Years Old in Africa

Authors

  • Akhmad Zainur Ridla Faculty of Nursing, University of Jember, Indonesia https://orcid.org/0000-0002-1360-5805
  • Elisa Putri Nofiyanti Undergraduate Nursing Program, Faculty of Nursing, Universitas Jember, Indonesia
  • Oktaviana Dwi Kartikasari Undergraduate Nursing Program, Faculty of Nursing, Universitas Jember, Indonesia
  • Setyowati Nurrohmah Undergraduate Nursing Program, Faculty of Nursing, Universitas Jember, Indonesia
  • Reza Lailiyatul Putri Undergraduate Nursing Program, Faculty of Nursing, Universitas Jember, Indonesia
  • Ra’uuf Thrisna Adjie Undergraduate Nursing Program, Faculty of Nursing, Universitas Jember, Indonesia
  • Ririn Nurhidayah Undergraduate Nursing Program, Faculty of Nursing, Universitas Jember, Indonesia
  • Indah Octavia Br Pasaribu Undergraduate Nursing Program, Faculty of Nursing, Universitas Jember, Indonesia

DOI:

https://doi.org/10.58545/jkki.v3i1.97

Abstract

Obesity is one of the considerable medical issues happening all around the world. Obesity has a high rate that makes it one of the reasons for difficulties in adults. People with excess weight should maintain a healthy diet to avoid diseases caused by high obesity. This research analyzes obesity rates in the productive age scope of 20-24 years in 3 nations on the African landmass (Gambia, Cameroon, and Ethiopia) utilizing information from the Demographic and Health Surveys (DHS) platform from 2018 to 2020. The strategy used to process the data is logistic regression analysis. In this review, four factors are utilized, including living environment, education level of abundance in metropolitan/provincial regions, and occupation. The statistical analysis used here is logistic regression linked to the IBM SPSS Statistic 25 application to identify the factors associated with the Prevalence of obesity in the three countries sampled in the study. From the study results, the Prevalence of obesity in Cameroon country is 14.7%, in the Gambia is 10.8%, and in Ethiopia is 4.4%. From the statistical test using logistic regression, the odds ratio (OR)> 1 means a relationship between these four risk factors and the occurrence of obesity in the 3 sample countries. This study concludes that residence, level of education, wealth index, and work activities directly affect a person's nutritional status, causing obesity.

Keywords:

Basal Metabolims Index, obesity, productive age

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Author Biography

Akhmad Zainur Ridla, Faculty of Nursing, University of Jember, Indonesia

Department of Critical and Medical Nursing, Faculty of Nursing, University of Jember, Indonesia

References

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Published

29-04-2023

How to Cite

Ridla, A. Z., Nofiyanti, E. P., Kartikasari, O. D., Nurrohmah, S., Putri, R. L., Adjie, R. T., Nurhidayah, R., & Pasaribu, I. O. B. (2023). Factors Influencing Obesity Levels in Productive Age 20-24 Years Old in Africa. Jurnal Kesehatan Komunitas Indonesia, 3(1), 115–125. https://doi.org/10.58545/jkki.v3i1.97

Issue

Vol. 3 No. 1: April 2023

Section

Articles

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Copyright (c) 2023 Akhmad Zainur Ridla

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