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Factors Affecting Children Ever Born Among Reproductive Aged Women in Ethiopia; Data from Edhs 2016

Received: 1 October 2019    Accepted: 29 April 2020    Published: 10 September 2020
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Abstract

There is a great concern about the levels, patterns and trends on fertility in sub-Saharan Africa. This pattern can be affected by fertility, mortality and migration. Fertility is the key determinants of population dynamics in once country. The main objective was to identify factors affecting children ever born in Ethiopia, from EDHS 2016 data. Secondary data was used from Ethiopian Demographic Health Survey (EDHS) which was collected from January 18, 2016 to June 27, 2016. The study population was women aged 15-49 years who were living in 2007 PHC selected enumeration areas in Ethiopia. Multilevel mixed effect negative binomial regression model was applied. Completing the primary level education (IRR=0.73, 95%CI=0.71-0.75), completed secondary level education (IRR=2.79 95%CI=1.69-4.60), place of residence (IRR=5.41, 95%CI=3.24-9.03), wealth index [poorer (IRR=0.71, 95%CI=0.52-0.98) and being richest (IRR=0.23, 95%CI=0.14-0.36)], gaining family planning information, using family planning service and occupation had effect on the number of children ever born. Religious types and women occupation category were also found to be significantly associated factor with the number of children ever born. Factors such as age, place of residence, religion, wealth index and educational level had significant effect on the number of children ever born in Ethiopia. The recommendation forwards the government to strengthened health service focusing on family planning service in Ethiopia. Family planning information communication and advocacy strengthened by the government. Improved family planning service awareness creation conducted on the religion aspects. The community participate in family planning health service, increase participation in education and listened information about family planning from different source. For the researcher, to do further researches to answered why these significant factor affect number of children ever born in Ethiopia.

Published in World Journal of Public Health (Volume 5, Issue 3)
DOI 10.11648/j.wjph.20200503.14
Page(s) 66-75
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

Children Ever Born, Mixed Effect Negative Binomial Regression, Reproductive Aged Women

References
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[2] MD. ISLAM UDDIN, K. C. B. A. S. S. I., DETERMINANTS OF DESIRED FAMILY SIZE AND CHILDREN EVER BORN IN BANGLADESH. December - 2011. Vol. 57, No. 2.
[3] Vijai Kumar Dwivedi, T. S. a. N. O. A., Factors Affecting Children Ever Born (CEB) in Botswana: Application of Poisson Regression Model. 2016.
[4] UN, world-fertility-patterns-2015. pdf. 2015.
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[6] Cleland, J., . 2013.
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[8] United Nations, D. o. E. a. S. A., Population Division, World Population Prospects: The 2015 Revision. 2015. I (Revision).
[9] Phyllis Machio, P., P. Jane Kabubo-Mariara, and P. Anthony Wambugu, The causal effect of early fertility and marriage on education and employment among young women in Kenya*. 2014.
[10] Hari Prasad Upadhyay*, K. R. B., Factors Associated with Children Ever Born: A Case Study of Somadi Village Development Committee of Palpa District, Nepal. 2017. 1: p. 15-29.
[11] Nations, U., Manual_X INDIRECT TECHNIQUES FOR DEMOGRAPHIC ESTIMATION. 1983.
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[13] Shrestha, S. L., Poisson Model for Linking Children Ever Born with Some Key Predictor Variables in Nepalese Women. 2013.
[14] LIBERIA INSTITUTE OF STATISTICS AND GEO-INFORMATION SERVICES (LISGIS) MONROVIA, L., . SEPTEMBER 2011.
[15] Evans, H., What fertility rates in Africa tells us about Global development. Population Connection, 2018.
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[21] MATHENGE, G. W. and J. ITROMID, The Role of Education in Influencing Fertility levels, women in central province, kenya Statistics South Africa, 2010.
[22] Radovich, E., et al., Rising up: Fertility trends in Egypt before and after the revolution. PLoS One, 2018. 13 (1): p. e0190148.
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[24] Winfrey, J. S. a. W., The effects of family planning and other factors on fertility, abortion, miscarriage, and stillbirths in the Spectrum model. BMC Public health, 2017.
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  • APA Style

    Zelalem Yitayal Melese, Likinaw Bewuket Zeleke. (2020). Factors Affecting Children Ever Born Among Reproductive Aged Women in Ethiopia; Data from Edhs 2016. World Journal of Public Health, 5(3), 66-75. https://doi.org/10.11648/j.wjph.20200503.14

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    ACS Style

    Zelalem Yitayal Melese; Likinaw Bewuket Zeleke. Factors Affecting Children Ever Born Among Reproductive Aged Women in Ethiopia; Data from Edhs 2016. World J. Public Health 2020, 5(3), 66-75. doi: 10.11648/j.wjph.20200503.14

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    AMA Style

    Zelalem Yitayal Melese, Likinaw Bewuket Zeleke. Factors Affecting Children Ever Born Among Reproductive Aged Women in Ethiopia; Data from Edhs 2016. World J Public Health. 2020;5(3):66-75. doi: 10.11648/j.wjph.20200503.14

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  • @article{10.11648/j.wjph.20200503.14,
      author = {Zelalem Yitayal Melese and Likinaw Bewuket Zeleke},
      title = {Factors Affecting Children Ever Born Among Reproductive Aged Women in Ethiopia; Data from Edhs 2016},
      journal = {World Journal of Public Health},
      volume = {5},
      number = {3},
      pages = {66-75},
      doi = {10.11648/j.wjph.20200503.14},
      url = {https://doi.org/10.11648/j.wjph.20200503.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20200503.14},
      abstract = {There is a great concern about the levels, patterns and trends on fertility in sub-Saharan Africa. This pattern can be affected by fertility, mortality and migration. Fertility is the key determinants of population dynamics in once country. The main objective was to identify factors affecting children ever born in Ethiopia, from EDHS 2016 data. Secondary data was used from Ethiopian Demographic Health Survey (EDHS) which was collected from January 18, 2016 to June 27, 2016. The study population was women aged 15-49 years who were living in 2007 PHC selected enumeration areas in Ethiopia. Multilevel mixed effect negative binomial regression model was applied. Completing the primary level education (IRR=0.73, 95%CI=0.71-0.75), completed secondary level education (IRR=2.79 95%CI=1.69-4.60), place of residence (IRR=5.41, 95%CI=3.24-9.03), wealth index [poorer (IRR=0.71, 95%CI=0.52-0.98) and being richest (IRR=0.23, 95%CI=0.14-0.36)], gaining family planning information, using family planning service and occupation had effect on the number of children ever born. Religious types and women occupation category were also found to be significantly associated factor with the number of children ever born. Factors such as age, place of residence, religion, wealth index and educational level had significant effect on the number of children ever born in Ethiopia. The recommendation forwards the government to strengthened health service focusing on family planning service in Ethiopia. Family planning information communication and advocacy strengthened by the government. Improved family planning service awareness creation conducted on the religion aspects. The community participate in family planning health service, increase participation in education and listened information about family planning from different source. For the researcher, to do further researches to answered why these significant factor affect number of children ever born in Ethiopia.},
     year = {2020}
    }
    

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    T1  - Factors Affecting Children Ever Born Among Reproductive Aged Women in Ethiopia; Data from Edhs 2016
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    AB  - There is a great concern about the levels, patterns and trends on fertility in sub-Saharan Africa. This pattern can be affected by fertility, mortality and migration. Fertility is the key determinants of population dynamics in once country. The main objective was to identify factors affecting children ever born in Ethiopia, from EDHS 2016 data. Secondary data was used from Ethiopian Demographic Health Survey (EDHS) which was collected from January 18, 2016 to June 27, 2016. The study population was women aged 15-49 years who were living in 2007 PHC selected enumeration areas in Ethiopia. Multilevel mixed effect negative binomial regression model was applied. Completing the primary level education (IRR=0.73, 95%CI=0.71-0.75), completed secondary level education (IRR=2.79 95%CI=1.69-4.60), place of residence (IRR=5.41, 95%CI=3.24-9.03), wealth index [poorer (IRR=0.71, 95%CI=0.52-0.98) and being richest (IRR=0.23, 95%CI=0.14-0.36)], gaining family planning information, using family planning service and occupation had effect on the number of children ever born. Religious types and women occupation category were also found to be significantly associated factor with the number of children ever born. Factors such as age, place of residence, religion, wealth index and educational level had significant effect on the number of children ever born in Ethiopia. The recommendation forwards the government to strengthened health service focusing on family planning service in Ethiopia. Family planning information communication and advocacy strengthened by the government. Improved family planning service awareness creation conducted on the religion aspects. The community participate in family planning health service, increase participation in education and listened information about family planning from different source. For the researcher, to do further researches to answered why these significant factor affect number of children ever born in Ethiopia.
    VL  - 5
    IS  - 3
    ER  - 

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Author Information
  • Department of Planning, Monitoring and Evaluation, Debre Markos Referral Hospital, Debre Markos, Ethiopia

  • Department of Public Health, College of Health Science, Debre Markos University, Debre Markos, Ethiopia

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