Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia

Reta Lemessa Jenbere; Habte Tadesse Likassa

doi:doi:10.11648/j.sjph.20170503.12

| Peer-Reviewed

Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia

Reta Lemessa Jenbere, Habte Tadesse Likassa

Published in Science Journal of Public Health (Volume 5, Issue 3)

Received: 11 January 2017 Accepted: 20 January 2017 Published: 2 March 2017

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The fertility rate of Ethiopia, especially in the rural areas, is unacceptably high. This is leading to negative influence on economic and social development. Thus, understanding those factors that influence the fertility intention of women is important for family planning program purposes and population policy. The main objective of this study was to investigate variability of women’s intentions to limit child-bearing in rural Ethiopia between regions and individually. The source of the data was the 2011 Ethiopian Demographic and Health Survey. A weighted sub-sample of 10,864 women was drawn from the DHS women's dataset. The multilevel logistic regression was applied to examine the various factors between intention to limit child-bearing and demographic, socio-economic, and cultural characteristics. From a total of 10,864 women 3,230 (29.7 percent) were intending to limit child-bearing while the remaining 7,634 (70.3 percent) did not. The multilevel logistic regression analysis showed that there were substantial variations in desire to limit child-bearing among eight regions in rural Ethiopia. Accordingly, for empty model, the variance is estimated asδ²_uo = 0.521 revealing that there was a significant difference in intention to limit child-bearing across regions. The variance of random intercept is estimated at 0.423; this is due to the inclusion of fixed predictor variables indicating that the additional predictors did not increase the percentage of variance explained by the model. Furthermore, either empty model or random intercept model revealed that there was a significance variation in intention to limit child-bearing across the considered regions. Similarly, results of random coefficient for the selected few predictor variables, showed that the number of living children found to be significant in explaining variations in intention to limit child-bearing across the regions. The overall variance constant term is found to be statistically significant. Family planning programs should focus on women with unmet need, particularly those who want to limit child-bearing; avail more information, education and communication about small family norms and the benefits of family planning to achieve the goals of wanted fertility is needed.

Published in	Science Journal of Public Health (Volume 5, Issue 3)
DOI	10.11648/j.sjph.20170503.12
Page(s)	162-171
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), 2017. Published by Science Publishing Group

Keywords

Intention to Limit Childbearing, Women’s Intention, Rural Ethiopia, Multilevel Logistic Regression

References

[1]	United Nations, Department of Economic and Social Affairs, Population Division, (2012): World Population Prospects; the 2011 Revision, Highlights, Working Paper No. ESA/P/WP.210.
[2]	Ezra M. (2001): Demographic responses to environmental stress in drought and famine prone areas of Northern Ethiopia. International Journal Population Geogr. 7: 259-279.
[3]	Hayford R. Sarah and Victor Agadjanian (2011): Effects of reasons for limiting fertility on contraceptive use in rural southern Mozambique. Center for Population Dynamics. Arizona State University. Page 1-10.
[4]	Central Statistical Agency and ORC Macro: Ethiopian 2011 Demographic and Health Survey. Addis Ababa, Ethiopia; Calverton, Maryland, USA 2012.
[5]	Samuel Yohannes, MitikieWondafrash, Muluemabet Abera and EshetuGirma. (2011): Duration and determinants of birth interval among women of child-bearing age in Southern Ethiopia. BMC Pregnancy and Childbirth 11: 38.
[6]	Wubegzier Mekonnen and AlemayehuWorku (2011): Determinants of low family planning use and high unmet need in Butajira District, South Central Ethiopia. Reproductive-Health-Journal8: 37. http://www.reproductive-health journal.com/content/8/1/37.Date March 9, 2013.
[7]	Snijders T. A.B. and Roel J. Bosker (2011): Multilevel Analysis. An introduction to basic and advanced multilevel modeling (2^nd Edition). London, Sage.
[8]	Long, J. Scott, and Freese, Jeremy (2006): Regression Models for Categorical Dependent Variables Using Stata (Second Edition). College Station, TX: Stata Press.
[9]	Kreft I, De Leeuw J (1998): Introduction to Multilevel Modeling. Thousand Oaks, CA: Sage Publications Inc. http/www.uaps2011.princeton.edu/papers/110 Date access Dec. 5, 2012.
[10]	Short E.S. and Kiros G. (2002): Husbands, Wives, Sons and Daughters Fertility Preferences and the Demand for Contraception in Ethiopia; Population Research and Policy Review 21: 377-402.
[11]	Yohannes Dibaba (2008): Factors Influencing Women's Intention to Limit Child-Bearing in Oromia regional state, Ethiopia. Ethio. J. Health Dev. 23 (1): 28-33.
[12]	Muhoza Dieudonné Ndaruhuye, Annelet Broekhuis and Pieter Hooimeijer (2009): Demand and Unmet Need for Means of Family Limitation in Rwanda. International Perspectives on Sexual and Reproductive Health 35 (3): 122–130.
[13]	Westoff, CF, Bankole A. (1995): Childbearing Attitudes and Intentions in Africa; DHS Comparative studies No. 17. Calverton, Marland: Macro International Inc.
[14]	Muhoza D, Ndaruhuye, Broekhuis A, Hooimeijer P: Variations in Desired Family Size and Excess Fertility in East Africa. International Journal Population Research 2014, 2014: 1–11. Available at: http://dx.doi.org/10.1155/ 2014/486079.
[15]	De Silva, W. I. (1991): Consistency between reproductive preferences and behavior: The Sri Lankan experience. Studies in Family Planning 22 (3): 188-197. Doi: 10.2307/1966645.
[16]	Mekonnen, Y., Ayalew, T., and Dejene, A. (1998). A High Risk Birth Fertility Intension and Unmet Need in Addis Ababa: Ethiopia Journal of Health Development, 12 (2): 103-109.
[17]	TilahunFerede, Girma Taye and YohannesYebabe (2013): Application of Multilevel Models on Reproductive Health Statistics; Department of Statistics, Arbaminch University. Http://Article.Sapub.Org/10.5923.J.Ajms.20130301.01.Html.

Cite This Article

Plain Text BibTeX RIS

APA Style

Reta Lemessa Jenbere, Habte Tadesse Likassa. (2017). Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia. Science Journal of Public Health, 5(3), 162-171. https://doi.org/10.11648/j.sjph.20170503.12

Copy | Download

ACS Style

Reta Lemessa Jenbere; Habte Tadesse Likassa. Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia. Sci. J. Public Health 2017, 5(3), 162-171. doi: 10.11648/j.sjph.20170503.12

Copy | Download

AMA Style

Reta Lemessa Jenbere, Habte Tadesse Likassa. Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia. Sci J Public Health. 2017;5(3):162-171. doi: 10.11648/j.sjph.20170503.12

Copy | Download

@article{10.11648/j.sjph.20170503.12,
  author = {Reta Lemessa Jenbere and Habte Tadesse Likassa},
  title = {Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia},
  journal = {Science Journal of Public Health},
  volume = {5},
  number = {3},
  pages = {162-171},
  doi = {10.11648/j.sjph.20170503.12},
  url = {https://doi.org/10.11648/j.sjph.20170503.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20170503.12},
  abstract = {The fertility rate of Ethiopia, especially in the rural areas, is unacceptably high. This is leading to negative influence on economic and social development. Thus, understanding those factors that influence the fertility intention of women is important for family planning program purposes and population policy. The main objective of this study was to investigate variability of women’s intentions to limit child-bearing in rural Ethiopia between regions and individually. The source of the data was the 2011 Ethiopian Demographic and Health Survey. A weighted sub-sample of 10,864 women was drawn from the DHS women's dataset. The multilevel logistic regression was applied to examine the various factors between intention to limit child-bearing and demographic, socio-economic, and cultural characteristics. From a total of 10,864 women 3,230 (29.7 percent) were intending to limit child-bearing while the remaining 7,634 (70.3 percent) did not. The multilevel logistic regression analysis showed that there were substantial variations in desire to limit child-bearing among eight regions in rural Ethiopia. Accordingly, for empty model, the variance is estimated asδ2uo = 0.521 revealing that there was a significant difference in intention to limit child-bearing across regions. The variance of random intercept is estimated at 0.423; this is due to the inclusion of fixed predictor variables indicating that the additional predictors did not increase the percentage of variance explained by the model. Furthermore, either empty model or random intercept model revealed that there was a significance variation in intention to limit child-bearing across the considered regions. Similarly, results of random coefficient for the selected few predictor variables, showed that the number of living children found to be significant in explaining variations in intention to limit child-bearing across the regions. The overall variance constant term is found to be statistically significant. Family planning programs should focus on women with unmet need, particularly those who want to limit child-bearing; avail more information, education and communication about small family norms and the benefits of family planning to achieve the goals of wanted fertility is needed.},
 year = {2017}
}

Copy | Download

TY - JOUR
T1 - Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia
AU - Reta Lemessa Jenbere
AU - Habte Tadesse Likassa
Y1 - 2017/03/02
PY - 2017
N1 - https://doi.org/10.11648/j.sjph.20170503.12
DO - 10.11648/j.sjph.20170503.12
T2 - Science Journal of Public Health
JF - Science Journal of Public Health
JO - Science Journal of Public Health
SP - 162
EP - 171
PB - Science Publishing Group
SN - 2328-7950
UR - https://doi.org/10.11648/j.sjph.20170503.12
AB - The fertility rate of Ethiopia, especially in the rural areas, is unacceptably high. This is leading to negative influence on economic and social development. Thus, understanding those factors that influence the fertility intention of women is important for family planning program purposes and population policy. The main objective of this study was to investigate variability of women’s intentions to limit child-bearing in rural Ethiopia between regions and individually. The source of the data was the 2011 Ethiopian Demographic and Health Survey. A weighted sub-sample of 10,864 women was drawn from the DHS women's dataset. The multilevel logistic regression was applied to examine the various factors between intention to limit child-bearing and demographic, socio-economic, and cultural characteristics. From a total of 10,864 women 3,230 (29.7 percent) were intending to limit child-bearing while the remaining 7,634 (70.3 percent) did not. The multilevel logistic regression analysis showed that there were substantial variations in desire to limit child-bearing among eight regions in rural Ethiopia. Accordingly, for empty model, the variance is estimated asδ2uo = 0.521 revealing that there was a significant difference in intention to limit child-bearing across regions. The variance of random intercept is estimated at 0.423; this is due to the inclusion of fixed predictor variables indicating that the additional predictors did not increase the percentage of variance explained by the model. Furthermore, either empty model or random intercept model revealed that there was a significance variation in intention to limit child-bearing across the considered regions. Similarly, results of random coefficient for the selected few predictor variables, showed that the number of living children found to be significant in explaining variations in intention to limit child-bearing across the regions. The overall variance constant term is found to be statistically significant. Family planning programs should focus on women with unmet need, particularly those who want to limit child-bearing; avail more information, education and communication about small family norms and the benefits of family planning to achieve the goals of wanted fertility is needed.
VL - 5
IS - 3
ER -

Copy | Download

Author Information

Reta Lemessa Jenbere

Department of Statistics, Ambo University, Ambo, Ethiopia
Habte Tadesse Likassa

Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taiwan, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Reta Lemessa Jenbere, Habte Tadesse Likassa. (2017). Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia. Science Journal of Public Health, 5(3), 162-171. https://doi.org/10.11648/j.sjph.20170503.12

Copy | Download

ACS Style

Reta Lemessa Jenbere; Habte Tadesse Likassa. Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia. Sci. J. Public Health 2017, 5(3), 162-171. doi: 10.11648/j.sjph.20170503.12

Copy | Download

AMA Style

Reta Lemessa Jenbere, Habte Tadesse Likassa. Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia. Sci J Public Health. 2017;5(3):162-171. doi: 10.11648/j.sjph.20170503.12

Copy | Download

@article{10.11648/j.sjph.20170503.12,
  author = {Reta Lemessa Jenbere and Habte Tadesse Likassa},
  title = {Multilevel Logistic Regression Analysis on Predictors of Women’s Intention to Limit Child-bearing in Rural Ethiopia},
  journal = {Science Journal of Public Health},
  volume = {5},
  number = {3},
  pages = {162-171},
  doi = {10.11648/j.sjph.20170503.12},
  url = {https://doi.org/10.11648/j.sjph.20170503.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20170503.12},
  abstract = {The fertility rate of Ethiopia, especially in the rural areas, is unacceptably high. This is leading to negative influence on economic and social development. Thus, understanding those factors that influence the fertility intention of women is important for family planning program purposes and population policy. The main objective of this study was to investigate variability of women’s intentions to limit child-bearing in rural Ethiopia between regions and individually. The source of the data was the 2011 Ethiopian Demographic and Health Survey. A weighted sub-sample of 10,864 women was drawn from the DHS women's dataset. The multilevel logistic regression was applied to examine the various factors between intention to limit child-bearing and demographic, socio-economic, and cultural characteristics. From a total of 10,864 women 3,230 (29.7 percent) were intending to limit child-bearing while the remaining 7,634 (70.3 percent) did not. The multilevel logistic regression analysis showed that there were substantial variations in desire to limit child-bearing among eight regions in rural Ethiopia. Accordingly, for empty model, the variance is estimated asδ2uo = 0.521 revealing that there was a significant difference in intention to limit child-bearing across regions. The variance of random intercept is estimated at 0.423; this is due to the inclusion of fixed predictor variables indicating that the additional predictors did not increase the percentage of variance explained by the model. Furthermore, either empty model or random intercept model revealed that there was a significance variation in intention to limit child-bearing across the considered regions. Similarly, results of random coefficient for the selected few predictor variables, showed that the number of living children found to be significant in explaining variations in intention to limit child-bearing across the regions. The overall variance constant term is found to be statistically significant. Family planning programs should focus on women with unmet need, particularly those who want to limit child-bearing; avail more information, education and communication about small family norms and the benefits of family planning to achieve the goals of wanted fertility is needed.},
 year = {2017}
}

Copy | Download