Biomedical Statistics and Informatics

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Determinants of Time to First Marriage Among Rural Women in Ethiopia

Received: Feb. 23, 2018    Accepted: Apr. 18, 2018    Published: May 09, 2018
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Abstract

Age at marriage is of particular interest because it marks the transition to adulthood in many societies; the point at which certain options in education, employment, and participation in society are foreclosed. This study aimed to investigate demographic and socioeconomic factors affecting age at first marriage in Ethiopian women. The data source used for the analysis was the 2011 Ethiopian Demographic and Health Survey, which is country representative survey. The study considered 10,417 women aged 15-49 years from nine regions and one city administration. Accelerated failure time model was used for identifying factors associated with age at first marriage. The median time for age at first marriage was 17 years (95% CI: 16.90, 17.10). Based on Akaike’s information criterion (AIC) the Log-logistic accelerated failure time model was found to be the best model in describing the age at first marriage among other candidate models. The result based on this model showed that region, women’s educational level, wealth index and religion significantly affect timing of first marriage. Women who had secondary and higher education prolonged time-to-first marriage by the factor of ɸ =1.42 and ɸ =1.46, respectively. Women from Oromia, Somali, SNNP and Dire Dawa have prolonged time to age at first marriage by ɸ=1.02, ɸ=1.05, ɸ=1.08, and ɸ=1.09 respectively. However, women from Amhara region (ɸ =0.89), Benishangul-Gumuz region (ɸ =0.95) and Gambela region (ɸ =0.95) had a significantly higher risk of early first marriage compared to their counterparts in the Tigray region. The acceleration factors for middle wealth index and rich are 0.99 and 0.98 respectively using poor household reference. This implied that poor household women have longer time-to-age at first marriage. Improving girls and young women access to education is important for rising the women’s age at first marriage, which is vital for empowering them and enhancing their participation in any sector.

DOI 10.11648/j.bsi.20180301.11
Published in Biomedical Statistics and Informatics ( Volume 3, Issue 1, March 2018 )
Page(s) 1-6
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

Survival Data Analysis, Time to First Marriage, Accelerated Failure Time Model, Marriage

References
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[2] Adebowel A., Fagbamigbe A., Okareh O. and Lawal O. (2012). Survival Analysis of Timing of First Marriage among Women of Reproductive age in Nigeria: African Journal of Reproductive Health.
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[4] Bayisenge, J. (2012): “Early Marriage as a Barrier to Girl’s Education: A Developmental Challenge in Africa”, Journal of Social Psychology 12(6): pp. 23-48.
[5] Blossfeld Hans-Peter, Jaeniches Ursula. (1992). Educational Expansion and Changes in Women’s Entry into Marriage and Motherhood in the Federal Republic of Germany, Journal of Marriage and the Family 54 (2):302-315.
[6] Central Statistical Authority and ORC Macro. (2001). Ethiopia demographic and health survey 2000. Addis Ababa, Ethiopia and Calverton, Maryland, USA: Central Statistical Authority and ORC Macro.
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[8] Central Statistical Agency, (2011). Ethiopian Demographic and Health Survey, Addis Ababa, Ethiopia.
[9] Clark, S. (2004). “Early Marriage and HIV Risks in Sub-Saharan Africa,” Studies in Family Planning, 35(3), 149 160. [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/15511059.
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[19] Lung Vu (2009). Age at first marriage in Vietnam: Trends and determinants. Paper presented at Population Association of America (PAA), April 30- May 2.
[20] Mensch Barbara S., Suchela Singh, and John B. casterline. (2005). Trends in the Timing of First Marriage Among Men and Women in The Developing World. Population council, No. 202.
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[22] National Research Council and Institute of Medicine of the National Academies (NRC-IOM).2005. Growing Up Global: The Changing Transitions to Adulthood in Developing Countries. Ed. Cynthia B. Lloyd. Washington, DC: The National Academies Press. New York.
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  • APA Style

    Yihenew Mitiku, Demeke Kiffle, Dinberu Siyoum, Belay Birlie. (2018). Determinants of Time to First Marriage Among Rural Women in Ethiopia. Biomedical Statistics and Informatics, 3(1), 1-6. https://doi.org/10.11648/j.bsi.20180301.11

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    ACS Style

    Yihenew Mitiku; Demeke Kiffle; Dinberu Siyoum; Belay Birlie. Determinants of Time to First Marriage Among Rural Women in Ethiopia. Biomed. Stat. Inform. 2018, 3(1), 1-6. doi: 10.11648/j.bsi.20180301.11

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    AMA Style

    Yihenew Mitiku, Demeke Kiffle, Dinberu Siyoum, Belay Birlie. Determinants of Time to First Marriage Among Rural Women in Ethiopia. Biomed Stat Inform. 2018;3(1):1-6. doi: 10.11648/j.bsi.20180301.11

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  • @article{10.11648/j.bsi.20180301.11,
      author = {Yihenew Mitiku and Demeke Kiffle and Dinberu Siyoum and Belay Birlie},
      title = {Determinants of Time to First Marriage Among Rural Women in Ethiopia},
      journal = {Biomedical Statistics and Informatics},
      volume = {3},
      number = {1},
      pages = {1-6},
      doi = {10.11648/j.bsi.20180301.11},
      url = {https://doi.org/10.11648/j.bsi.20180301.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.bsi.20180301.11},
      abstract = {Age at marriage is of particular interest because it marks the transition to adulthood in many societies; the point at which certain options in education, employment, and participation in society are foreclosed. This study aimed to investigate demographic and socioeconomic factors affecting age at first marriage in Ethiopian women. The data source used for the analysis was the 2011 Ethiopian Demographic and Health Survey, which is country representative survey. The study considered 10,417 women aged 15-49 years from nine regions and one city administration. Accelerated failure time model was used for identifying factors associated with age at first marriage. The median time for age at first marriage was 17 years (95% CI: 16.90, 17.10). Based on Akaike’s information criterion (AIC) the Log-logistic accelerated failure time model was found to be the best model in describing the age at first marriage among other candidate models. The result based on this model showed that region, women’s educational level, wealth index and religion significantly affect timing of first marriage. Women who had secondary and higher education prolonged time-to-first marriage by the factor of ɸ =1.42 and ɸ =1.46, respectively. Women from Oromia, Somali, SNNP and Dire Dawa have prolonged time to age at first marriage by ɸ=1.02, ɸ=1.05, ɸ=1.08, and ɸ=1.09 respectively. However, women from Amhara region (ɸ =0.89), Benishangul-Gumuz region (ɸ =0.95) and Gambela region (ɸ =0.95) had a significantly higher risk of early first marriage compared to their counterparts in the Tigray region. The acceleration factors for middle wealth index and rich are 0.99 and 0.98 respectively using poor household reference. This implied that poor household women have longer time-to-age at first marriage. Improving girls and young women access to education is important for rising the women’s age at first marriage, which is vital for empowering them and enhancing their participation in any sector.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Determinants of Time to First Marriage Among Rural Women in Ethiopia
    AU  - Yihenew Mitiku
    AU  - Demeke Kiffle
    AU  - Dinberu Siyoum
    AU  - Belay Birlie
    Y1  - 2018/05/09
    PY  - 2018
    N1  - https://doi.org/10.11648/j.bsi.20180301.11
    DO  - 10.11648/j.bsi.20180301.11
    T2  - Biomedical Statistics and Informatics
    JF  - Biomedical Statistics and Informatics
    JO  - Biomedical Statistics and Informatics
    SP  - 1
    EP  - 6
    PB  - Science Publishing Group
    SN  - 2578-8728
    UR  - https://doi.org/10.11648/j.bsi.20180301.11
    AB  - Age at marriage is of particular interest because it marks the transition to adulthood in many societies; the point at which certain options in education, employment, and participation in society are foreclosed. This study aimed to investigate demographic and socioeconomic factors affecting age at first marriage in Ethiopian women. The data source used for the analysis was the 2011 Ethiopian Demographic and Health Survey, which is country representative survey. The study considered 10,417 women aged 15-49 years from nine regions and one city administration. Accelerated failure time model was used for identifying factors associated with age at first marriage. The median time for age at first marriage was 17 years (95% CI: 16.90, 17.10). Based on Akaike’s information criterion (AIC) the Log-logistic accelerated failure time model was found to be the best model in describing the age at first marriage among other candidate models. The result based on this model showed that region, women’s educational level, wealth index and religion significantly affect timing of first marriage. Women who had secondary and higher education prolonged time-to-first marriage by the factor of ɸ =1.42 and ɸ =1.46, respectively. Women from Oromia, Somali, SNNP and Dire Dawa have prolonged time to age at first marriage by ɸ=1.02, ɸ=1.05, ɸ=1.08, and ɸ=1.09 respectively. However, women from Amhara region (ɸ =0.89), Benishangul-Gumuz region (ɸ =0.95) and Gambela region (ɸ =0.95) had a significantly higher risk of early first marriage compared to their counterparts in the Tigray region. The acceleration factors for middle wealth index and rich are 0.99 and 0.98 respectively using poor household reference. This implied that poor household women have longer time-to-age at first marriage. Improving girls and young women access to education is important for rising the women’s age at first marriage, which is vital for empowering them and enhancing their participation in any sector.
    VL  - 3
    IS  - 1
    ER  - 

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Author Information
  • Department of Statistics, College of Natural & Computational Science, Assosa University, Assosa, Ethiopia

  • Department of Statistics, College of Natural & Computational Science, Jimma University, Jimma, Ethiopia

  • Department of Statistics, College of Natural & Computational Science, Jimma University, Jimma, Ethiopia

  • Department of Statistics, College of Natural & Computational Science, Jimma University, Jimma, Ethiopia

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