Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data

Yenefenta Wube Bayleyegne; Zeytu Gashaw Asfaw

doi:doi:10.11648/j.bsi.20200501.15

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Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data

Yenefenta Wube Bayleyegne, Zeytu Gashaw Asfaw

Published in Biomedical Statistics and Informatics (Volume 5, Issue 1)

Received: 3 August 2019 Accepted: 31 October 2019 Published: 14 April 2020

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Abstract

Longer intervals between consecutive births decrease the number of children a woman can have. This results in beneficial effects on population size and on the health status of mothers and children. The general objective of this study was to model the birth intervals of adult women age 15-49 years old in Ethiopia and to identify the variable that affects the length of birth intervals of women. The study utilizes the data extracted from the 2011 Ethiopian Demographic and Health Survey (EDHS). In this study cox proportional hazards and shared gamma frailty models were adopted for the analysis to identify important demographic and socioeconomic factors that may affect the length of birth intervals and to analyze correlated birth intervals respectively. The result of the two models revealed that mother’s age, place of residence, mother education level, wealth index, mother age at first birth, childbirth order, survival status of the previous child, breast feeding status, and contraceptive use were found to have significant effect on the length of birth interval for Ethiopian women. The analysis with the frailty model shows that child birth order may not be an important covariate for analyzing birth intervals, especially when mother’s age at first birth is already in the model. Moreover, shared gamma frailty model have resulted in a minimum AIC as compared to cox proportional hazard model without frailty term in the model, suggesting that shared gamma frailty model is the most powerful one in predicting the birth intervals of women among regional states of Ethiopia. Hence, the setting of correlated observations, the cox frailty models are recommended for providing statistically valid estimates of the effects of proximate determinants after adjusting for the background variables and unobserved random effects.

Published in	Biomedical Statistics and Informatics (Volume 5, Issue 1)
DOI	10.11648/j.bsi.20200501.15
Page(s)	26-38
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), 2020. Published by Science Publishing Group

Keywords

Birth Interval, Cox PH Model, Frailty Model, Correlated, Time Event Data, Ethiopia

References

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APA Style

Yenefenta Wube Bayleyegne, Zeytu Gashaw Asfaw. (2020). Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data. Biomedical Statistics and Informatics, 5(1), 26-38. https://doi.org/10.11648/j.bsi.20200501.15

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ACS Style

Yenefenta Wube Bayleyegne; Zeytu Gashaw Asfaw. Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data. Biomed. Stat. Inform. 2020, 5(1), 26-38. doi: 10.11648/j.bsi.20200501.15

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Yenefenta Wube Bayleyegne, Zeytu Gashaw Asfaw. Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data. Biomed Stat Inform. 2020;5(1):26-38. doi: 10.11648/j.bsi.20200501.15

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@article{10.11648/j.bsi.20200501.15,
  author = {Yenefenta Wube Bayleyegne and Zeytu Gashaw Asfaw},
  title = {Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data},
  journal = {Biomedical Statistics and Informatics},
  volume = {5},
  number = {1},
  pages = {26-38},
  doi = {10.11648/j.bsi.20200501.15},
  url = {https://doi.org/10.11648/j.bsi.20200501.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20200501.15},
  abstract = {Longer intervals between consecutive births decrease the number of children a woman can have. This results in beneficial effects on population size and on the health status of mothers and children. The general objective of this study was to model the birth intervals of adult women age 15-49 years old in Ethiopia and to identify the variable that affects the length of birth intervals of women. The study utilizes the data extracted from the 2011 Ethiopian Demographic and Health Survey (EDHS). In this study cox proportional hazards and shared gamma frailty models were adopted for the analysis to identify important demographic and socioeconomic factors that may affect the length of birth intervals and to analyze correlated birth intervals respectively. The result of the two models revealed that mother’s age, place of residence, mother education level, wealth index, mother age at first birth, childbirth order, survival status of the previous child, breast feeding status, and contraceptive use were found to have significant effect on the length of birth interval for Ethiopian women. The analysis with the frailty model shows that child birth order may not be an important covariate for analyzing birth intervals, especially when mother’s age at first birth is already in the model. Moreover, shared gamma frailty model have resulted in a minimum AIC as compared to cox proportional hazard model without frailty term in the model, suggesting that shared gamma frailty model is the most powerful one in predicting the birth intervals of women among regional states of Ethiopia. Hence, the setting of correlated observations, the cox frailty models are recommended for providing statistically valid estimates of the effects of proximate determinants after adjusting for the background variables and unobserved random effects.},
 year = {2020}
}

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TY  - JOUR
T1  - Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data
AU  - Yenefenta Wube Bayleyegne
AU  - Zeytu Gashaw Asfaw
Y1  - 2020/04/14
PY  - 2020
N1  - https://doi.org/10.11648/j.bsi.20200501.15
DO  - 10.11648/j.bsi.20200501.15
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 26
EP  - 38
PB  - Science Publishing Group
SN  - 2578-8728
UR  - https://doi.org/10.11648/j.bsi.20200501.15
AB  - Longer intervals between consecutive births decrease the number of children a woman can have. This results in beneficial effects on population size and on the health status of mothers and children. The general objective of this study was to model the birth intervals of adult women age 15-49 years old in Ethiopia and to identify the variable that affects the length of birth intervals of women. The study utilizes the data extracted from the 2011 Ethiopian Demographic and Health Survey (EDHS). In this study cox proportional hazards and shared gamma frailty models were adopted for the analysis to identify important demographic and socioeconomic factors that may affect the length of birth intervals and to analyze correlated birth intervals respectively. The result of the two models revealed that mother’s age, place of residence, mother education level, wealth index, mother age at first birth, childbirth order, survival status of the previous child, breast feeding status, and contraceptive use were found to have significant effect on the length of birth interval for Ethiopian women. The analysis with the frailty model shows that child birth order may not be an important covariate for analyzing birth intervals, especially when mother’s age at first birth is already in the model. Moreover, shared gamma frailty model have resulted in a minimum AIC as compared to cox proportional hazard model without frailty term in the model, suggesting that shared gamma frailty model is the most powerful one in predicting the birth intervals of women among regional states of Ethiopia. Hence, the setting of correlated observations, the cox frailty models are recommended for providing statistically valid estimates of the effects of proximate determinants after adjusting for the background variables and unobserved random effects.
VL  - 5
IS  - 1
ER  -

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Author Information

Yenefenta Wube Bayleyegne

Department of Statistics, Faculty of Natural and Computational Sciences, Woldia University, Woldia, Ethiopia
Zeytu Gashaw Asfaw

Department of Statistics, Collage of Mathematical and Statistical Sciences, Hawassa University, Hawassa, Ethiopia

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Yenefenta Wube Bayleyegne, Zeytu Gashaw Asfaw. (2020). Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data. Biomedical Statistics and Informatics, 5(1), 26-38. https://doi.org/10.11648/j.bsi.20200501.15

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ACS Style

Yenefenta Wube Bayleyegne; Zeytu Gashaw Asfaw. Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data. Biomed. Stat. Inform. 2020, 5(1), 26-38. doi: 10.11648/j.bsi.20200501.15

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AMA Style

Yenefenta Wube Bayleyegne, Zeytu Gashaw Asfaw. Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data. Biomed Stat Inform. 2020;5(1):26-38. doi: 10.11648/j.bsi.20200501.15

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@article{10.11648/j.bsi.20200501.15,
  author = {Yenefenta Wube Bayleyegne and Zeytu Gashaw Asfaw},
  title = {Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data},
  journal = {Biomedical Statistics and Informatics},
  volume = {5},
  number = {1},
  pages = {26-38},
  doi = {10.11648/j.bsi.20200501.15},
  url = {https://doi.org/10.11648/j.bsi.20200501.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20200501.15},
  abstract = {Longer intervals between consecutive births decrease the number of children a woman can have. This results in beneficial effects on population size and on the health status of mothers and children. The general objective of this study was to model the birth intervals of adult women age 15-49 years old in Ethiopia and to identify the variable that affects the length of birth intervals of women. The study utilizes the data extracted from the 2011 Ethiopian Demographic and Health Survey (EDHS). In this study cox proportional hazards and shared gamma frailty models were adopted for the analysis to identify important demographic and socioeconomic factors that may affect the length of birth intervals and to analyze correlated birth intervals respectively. The result of the two models revealed that mother’s age, place of residence, mother education level, wealth index, mother age at first birth, childbirth order, survival status of the previous child, breast feeding status, and contraceptive use were found to have significant effect on the length of birth interval for Ethiopian women. The analysis with the frailty model shows that child birth order may not be an important covariate for analyzing birth intervals, especially when mother’s age at first birth is already in the model. Moreover, shared gamma frailty model have resulted in a minimum AIC as compared to cox proportional hazard model without frailty term in the model, suggesting that shared gamma frailty model is the most powerful one in predicting the birth intervals of women among regional states of Ethiopia. Hence, the setting of correlated observations, the cox frailty models are recommended for providing statistically valid estimates of the effects of proximate determinants after adjusting for the background variables and unobserved random effects.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data
AU  - Yenefenta Wube Bayleyegne
AU  - Zeytu Gashaw Asfaw
Y1  - 2020/04/14
PY  - 2020
N1  - https://doi.org/10.11648/j.bsi.20200501.15
DO  - 10.11648/j.bsi.20200501.15
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 26
EP  - 38
PB  - Science Publishing Group
SN  - 2578-8728
UR  - https://doi.org/10.11648/j.bsi.20200501.15
AB  - Longer intervals between consecutive births decrease the number of children a woman can have. This results in beneficial effects on population size and on the health status of mothers and children. The general objective of this study was to model the birth intervals of adult women age 15-49 years old in Ethiopia and to identify the variable that affects the length of birth intervals of women. The study utilizes the data extracted from the 2011 Ethiopian Demographic and Health Survey (EDHS). In this study cox proportional hazards and shared gamma frailty models were adopted for the analysis to identify important demographic and socioeconomic factors that may affect the length of birth intervals and to analyze correlated birth intervals respectively. The result of the two models revealed that mother’s age, place of residence, mother education level, wealth index, mother age at first birth, childbirth order, survival status of the previous child, breast feeding status, and contraceptive use were found to have significant effect on the length of birth interval for Ethiopian women. The analysis with the frailty model shows that child birth order may not be an important covariate for analyzing birth intervals, especially when mother’s age at first birth is already in the model. Moreover, shared gamma frailty model have resulted in a minimum AIC as compared to cox proportional hazard model without frailty term in the model, suggesting that shared gamma frailty model is the most powerful one in predicting the birth intervals of women among regional states of Ethiopia. Hence, the setting of correlated observations, the cox frailty models are recommended for providing statistically valid estimates of the effects of proximate determinants after adjusting for the background variables and unobserved random effects.
VL  - 5
IS  - 1
ER  -

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