| Peer-Reviewed

Determinants of Obesity Among Women of Childbearing Age in Urban Areas of Ethiopia

Received: 24 May 2016    Accepted: 1 June 2016    Published: 28 April 2017
Views:       Downloads:
Abstract

Background: Obesity is a major public health problem in both developed and developing countries. Its prevalence is increasing rapidly and reached epidemic proportions globally. Evidence suggests that the situation is likely to get worse especially among women because women tend to gain greatest amount of weight during their child-bearing age, putting them at risk for cardiovascular disease, type II diabetes, hypertension, and many other chronic disorders. Only few studies assessed the situation of obesity in women of childbearing age living in urban areas of Ethiopia. Objectives: The aim of this study is to identify the determinant factors of obesity among women of childbearing age in urban areas of Ethiopia. Methods: The study used women’s of childbearing age dataset from the 2011 Ethiopian Demographic and Health Survey. The survey sample was designed to provide national, urban/rural, and regional representative estimates of key health and demographic indicators. This study used 3,535 urban women’s, from the total 14,505 eligible women of childbearing age in the country. The sample was selected using a two-stage stratified cluster sampling procedure. Odds ratio along with 95% confidence interval in binary logistic regression was used to assess determinant factors associated with obesity among urban women of childbearing age. Results: The prevalence of obesity was (2.84%) among women of childbearing age living in urban areas of Ethiopia. Obesity was significantly associated with occupation, age, marital status, children ever born, wealth terciles, religion, parent’s educational status and residing region in the binary logistic regression analysis. Parents education (AOR= 0.50: 95% CI (0.26 - 0.94), wealth tersiles (AOR=2.01: 95% CI (1.10 – 3.67) and (AOR= 6.37: 95% CI (3.38 – 12.00) in medium and high, respectively and residing regions (AOR= 4.91: 95% CI; 1.24 – 19.47), (AOR=5.68: 95% CI; 1.52 - 21.16), (AOR=17.81: 95% CI; 4.97 – 63.78), (AOR=4.62: 95% CI; 1.36 – 15.64), (AOR=4.21: 95% CI; 1.28 - 13.75) and (AOR=6.06: 95% CI; 1.81 – 20.23) in Afar, Oromiya, Somali, Harari, Addis Ababa and Dire Dawa regions, respectively were found to be determinants of obesity. Conclusion: The prevalence of obesity among women of childbearing age in urban areas was high. Parents’ education, wealth terciles and residing region were associated with obesity. Targeted interventions should be put in place to reverse increasing levels of obesity in order to prevent the risk of obesity and its related life threatening effects.

Published in International Journal of Nutrition and Food Sciences (Volume 6, Issue 3)
DOI 10.11648/j.ijnfs.20170603.14
Page(s) 134-138
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Obesity, Body Mass Index, Women of Childbearing Age, Urban, Ethiopia

References
[1] Houston D K, Nicklas BJ, Zizza CA. Weighty concerns: The growing Assoc prevalence of obesity among older adults. J A m Diet Assoc 2009; 109:1886- 9.
[2] Berghöfer A, Pischon T, Reinhold T, Apovian CM, Sharma AM, Willich SN. Obesity prevalence from a European perspective: a systematic review. BMC Public Health 2008 5;8:200. doi: 10.1186/1471-2458-8-200.
[3] Sidik SM, Rampal L. The prevalence and factors associated with obesity among adult women in Selangor, Malaysia. Asia Pacific Family Medicine 2009, 8:2 doi:10.1186/1447-056X-8-2.
[4] Price RA, Danielle RR, Nicholas JG. Resemblance for Body Mass Index in Families of Obese African American and European American Women. Obesity Research. 2000; 8: 360–366.
[5] Siega-Riz AM, Evenson KR, Dole N: Pregnancy-related Weight Gain- A Link to Obesity? Nutrition Reviews 2004, 62(7): S105-S111.
[6] World Health Organization. Obesity and overweight2012.
[7] Puhl RM, Heuer CA. Obesity stigma: Important considerations for public health. American Journal of Public Health 2010; 100: 1019-1028.
[8] Patterson RE, Frank LL, Kristal AR, White E. A comprehensive examination of health conditions associated with obesity in older adults. Am J Prev Med 2004; 27: 385-390.
[9] Mascie-Taylor CG, Goto R. Human variation and body mass index: A review of the universality of BMI cut-offs, gender, and urban-rural differences, and secular changes. J Physiol Anthropol 2007; 26: 109-112.
[10] World Health Organization, Global Health Observatory (GHO), Obesity: Situation and Trend 2012. http://www.who.int/gho-/ncd/risk_factors/obesity _ text/en/index.html.
[11] Central Statistical Agency [Ethiopia] and ICF International: Ethiopia Demographic and Health Survey 2011. Addis Ababa, Ethiopia and Calverton, Maryland, USA: Central Statistical Agency and ICF International; 2012.
[12] Central Statistics Agency, Population Census Commission: Summary and Statistical Report of the 2007. Addis Ababa: Population and Housing Census; 2008.
[13] Shahi M, Rai L, Adhikari DR, Sharma M. Prevalence and factors associated with obesity among adult women of Nepal. Global Journal of Medicine and Public Health 2013, 2:4.
[14] Baalwa J, Byarugaba BB, Kabagambe KE, Otim AM. Prevalence of overweight and obesity in young adults in Uganda. African Health Sciences 2010; 10(4): 367-373.
[15] Geyer N. Overweight and Obesity in the Reproductive-Age Population of the Central Pennsylvania Women’s Health Study. J Obes Wt Loss Ther 2013, 3: 158. doi: 10.4172/2165-7904.10001 58.
[16] Kamadjeu MR, Edwards R, Atanga SJ, Kiawi CE, Unwin N, Mbanya J. Anthropometry measures and prevalence of obesity in the urban adult population of Cameroon: an update from the Cameroon Burden of Diabetes Baseline Survey. BMC Public Health 2006, 6:228 doi: 10.1186/1471-2458-6-228.
[17] Agbeko PM, Akwasi K, Andrews AD, Gifty BO. Predictors of Overweight and Obesity among Women in Ghana. The Open Obesity Journal, 2013, 5, 72-81.
[18] Pobee RA, Owusu WB, and Plahar WA. The prevalence of obesity among female teachers of child-bearing age in Ghana. African Journal of Food, Agriculture, Nutrition and Development; 13 (2): 2013.
[19] Moore S, Hall NJ, Harper S, Lynch WJ. Global and National Socioeconomic Disparities in Obesity, Overweight, and Underweight Status. Journal of Obesity 2010; doi: 10.1155/2010/514674.
Cite This Article
  • APA Style

    Wubegzier Mekonnen, Alemayehu Bogale. (2017). Determinants of Obesity Among Women of Childbearing Age in Urban Areas of Ethiopia. International Journal of Nutrition and Food Sciences, 6(3), 134-138. https://doi.org/10.11648/j.ijnfs.20170603.14

    Copy | Download

    ACS Style

    Wubegzier Mekonnen; Alemayehu Bogale. Determinants of Obesity Among Women of Childbearing Age in Urban Areas of Ethiopia. Int. J. Nutr. Food Sci. 2017, 6(3), 134-138. doi: 10.11648/j.ijnfs.20170603.14

    Copy | Download

    AMA Style

    Wubegzier Mekonnen, Alemayehu Bogale. Determinants of Obesity Among Women of Childbearing Age in Urban Areas of Ethiopia. Int J Nutr Food Sci. 2017;6(3):134-138. doi: 10.11648/j.ijnfs.20170603.14

    Copy | Download

  • @article{10.11648/j.ijnfs.20170603.14,
      author = {Wubegzier Mekonnen and Alemayehu Bogale},
      title = {Determinants of Obesity Among Women of Childbearing Age in Urban Areas of Ethiopia},
      journal = {International Journal of Nutrition and Food Sciences},
      volume = {6},
      number = {3},
      pages = {134-138},
      doi = {10.11648/j.ijnfs.20170603.14},
      url = {https://doi.org/10.11648/j.ijnfs.20170603.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnfs.20170603.14},
      abstract = {Background: Obesity is a major public health problem in both developed and developing countries. Its prevalence is increasing rapidly and reached epidemic proportions globally. Evidence suggests that the situation is likely to get worse especially among women because women tend to gain greatest amount of weight during their child-bearing age, putting them at risk for cardiovascular disease, type II diabetes, hypertension, and many other chronic disorders. Only few studies assessed the situation of obesity in women of childbearing age living in urban areas of Ethiopia. Objectives: The aim of this study is to identify the determinant factors of obesity among women of childbearing age in urban areas of Ethiopia. Methods: The study used women’s of childbearing age dataset from the 2011 Ethiopian Demographic and Health Survey. The survey sample was designed to provide national, urban/rural, and regional representative estimates of key health and demographic indicators. This study used 3,535 urban women’s, from the total 14,505 eligible women of childbearing age in the country. The sample was selected using a two-stage stratified cluster sampling procedure. Odds ratio along with 95% confidence interval in binary logistic regression was used to assess determinant factors associated with obesity among urban women of childbearing age. Results: The prevalence of obesity was (2.84%) among women of childbearing age living in urban areas of Ethiopia. Obesity was significantly associated with occupation, age, marital status, children ever born, wealth terciles, religion, parent’s educational status and residing region in the binary logistic regression analysis. Parents education (AOR= 0.50: 95% CI (0.26 - 0.94), wealth tersiles (AOR=2.01: 95% CI (1.10 – 3.67) and (AOR= 6.37: 95% CI (3.38 – 12.00) in medium and high, respectively and residing regions (AOR= 4.91: 95% CI; 1.24 – 19.47), (AOR=5.68: 95% CI; 1.52 - 21.16), (AOR=17.81: 95% CI; 4.97 – 63.78), (AOR=4.62: 95% CI; 1.36 – 15.64), (AOR=4.21: 95% CI; 1.28 - 13.75) and (AOR=6.06: 95% CI; 1.81 – 20.23) in Afar, Oromiya, Somali, Harari, Addis Ababa and Dire Dawa regions, respectively were found to be determinants of obesity. Conclusion: The prevalence of obesity among women of childbearing age in urban areas was high. Parents’ education, wealth terciles and residing region were associated with obesity. Targeted interventions should be put in place to reverse increasing levels of obesity in order to prevent the risk of obesity and its related life threatening effects.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Determinants of Obesity Among Women of Childbearing Age in Urban Areas of Ethiopia
    AU  - Wubegzier Mekonnen
    AU  - Alemayehu Bogale
    Y1  - 2017/04/28
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ijnfs.20170603.14
    DO  - 10.11648/j.ijnfs.20170603.14
    T2  - International Journal of Nutrition and Food Sciences
    JF  - International Journal of Nutrition and Food Sciences
    JO  - International Journal of Nutrition and Food Sciences
    SP  - 134
    EP  - 138
    PB  - Science Publishing Group
    SN  - 2327-2716
    UR  - https://doi.org/10.11648/j.ijnfs.20170603.14
    AB  - Background: Obesity is a major public health problem in both developed and developing countries. Its prevalence is increasing rapidly and reached epidemic proportions globally. Evidence suggests that the situation is likely to get worse especially among women because women tend to gain greatest amount of weight during their child-bearing age, putting them at risk for cardiovascular disease, type II diabetes, hypertension, and many other chronic disorders. Only few studies assessed the situation of obesity in women of childbearing age living in urban areas of Ethiopia. Objectives: The aim of this study is to identify the determinant factors of obesity among women of childbearing age in urban areas of Ethiopia. Methods: The study used women’s of childbearing age dataset from the 2011 Ethiopian Demographic and Health Survey. The survey sample was designed to provide national, urban/rural, and regional representative estimates of key health and demographic indicators. This study used 3,535 urban women’s, from the total 14,505 eligible women of childbearing age in the country. The sample was selected using a two-stage stratified cluster sampling procedure. Odds ratio along with 95% confidence interval in binary logistic regression was used to assess determinant factors associated with obesity among urban women of childbearing age. Results: The prevalence of obesity was (2.84%) among women of childbearing age living in urban areas of Ethiopia. Obesity was significantly associated with occupation, age, marital status, children ever born, wealth terciles, religion, parent’s educational status and residing region in the binary logistic regression analysis. Parents education (AOR= 0.50: 95% CI (0.26 - 0.94), wealth tersiles (AOR=2.01: 95% CI (1.10 – 3.67) and (AOR= 6.37: 95% CI (3.38 – 12.00) in medium and high, respectively and residing regions (AOR= 4.91: 95% CI; 1.24 – 19.47), (AOR=5.68: 95% CI; 1.52 - 21.16), (AOR=17.81: 95% CI; 4.97 – 63.78), (AOR=4.62: 95% CI; 1.36 – 15.64), (AOR=4.21: 95% CI; 1.28 - 13.75) and (AOR=6.06: 95% CI; 1.81 – 20.23) in Afar, Oromiya, Somali, Harari, Addis Ababa and Dire Dawa regions, respectively were found to be determinants of obesity. Conclusion: The prevalence of obesity among women of childbearing age in urban areas was high. Parents’ education, wealth terciles and residing region were associated with obesity. Targeted interventions should be put in place to reverse increasing levels of obesity in order to prevent the risk of obesity and its related life threatening effects.
    VL  - 6
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia

  • College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia

  • Sections