Application of Logistic Regression in Determining the Factors Influencing the use of Modern Contraceptive among married women in Ethiopia
American Journal of Theoretical and Applied Statistics
Volume 4, Issue 3, May 2015, Pages: 156-162
Received: Mar. 20, 2015;
Accepted: Apr. 1, 2015;
Published: May 5, 2015
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Kebede Abu Aragaw, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
The aim of the study was to investigate the determinants of use of modern contraceptive among married women in Ethiopia. Our study is based on the data taken from a nationally representative survey EDHS of 2011. The sample includes 9,438 married women aged 15-49 years. Cross tabulations were carried out at the bivariate level to assess the association between contraceptive use and each of the explanatory variables and binary multiple logistic regression analysis was used to identify the factors influencing modem contraceptive use among married women in Ethiopia. The bivariate analysis reveals statistically significant association between all explanatory variables i.e age of woman, region, religion, place of residence, education level of woman, number of living children, desire for more children, wealth status, and decision maker for modern contraception, educational level of husband, modern contraceptive knowledge and exposure to media. Results for binary multiple logistic regression analysis reveals that age of woman have a statistically significant positive effect on modern contraceptive use. Contraceptive use was highest in the age group of 15 to 19 years while it was lowest among married women aged 40-44 years compared to those married women aged 45-49 years as reference category. Furthermore, uneducated women and women not at work want no more children. The lowest wealth status women are less likely to use modern contraception compared to their corresponding reference group. The result also shows that married women who do not discuss about family planning with their husbands use modern contraception 25.6% less in comparison to those couples made decisions jointly. Generally men play a critical role in determining the size of their family. Male involvement, therefore, is an integral component of successful reproductive health programs. But binary logistic regression results do not support the hypothesis that educational levels of husband have influence on the use of modem contraceptive methods among women. Media exposure is another factor that influences modem contraceptive use. The odds of married women who were not exposed to media are 35.8 % less likely in using a modern contraception method than those who had media exposure.
Kebede Abu Aragaw,
Application of Logistic Regression in Determining the Factors Influencing the use of Modern Contraceptive among married women in Ethiopia, American Journal of Theoretical and Applied Statistics.
Vol. 4, No. 3,
2015, pp. 156-162.
Amaha Haile, Fikre Enqueselassie, 2006. Influence of women’s autonomy on couple’s contraception usein Jimma town, Ethiopia. Ethiopian Journal of Health Development, 20(3),1-7
Jane T. Bertrand (2003). Population reports. The INFO Project, Center for Communication Programs, the Johns Hopkins Bloomberg School of Public Health, Baltimore. Spring; 31(2):1-21.
Central Statistical Authority (CSA), (2007) Summary and Statistical Report of the Population and Housing Census, Population Census Commission. Addis Ababa, Ethiopia.
Cohen Barney (1998). The emerging fertility transition in sub-Saharan Africa, World Development 26(8):1431-1461.
Ethiopian Demographic and Health Survey (2011). Central Statistics Agency, Addis Ababa, Ethiopia.
Halvor Gille (1985). The World Fertility Survey: Policy Implications for Developing Countries. International Family Planning Perspective. Vol., 11, No. 1, 9-17
Neeru Gupta, Charles Katende, and Ruth Bessinger(2003). Associations of Mass Media Exposure with Family Planning Attitudes and Practices in Uganda. Studies inFamily Planning, 34(1):19-31.
Johnson-Hanks J.(2003). Education, ethnicity, and reproductive practice in Cameroon. Population 58(2), 153–179.
David W. Hosmer and Stanley Lemeshow (1989). Applied Logistic Regression. John and Sons, Inc., W. H. (1993): Econometric Analysis. 2nd Edition. New York, Macmillan.
H.T. Abdullah Khan(1997). A hierarchical model of contraceptive use in urban and rural Bangladesh: Contraception, 55, 91-96.
Ria Rahayu, Iwu Utomo, and Peter McDonald (2009). Contraceptive use pattern among women in Indonesia, http:// www.fpconference2009.org.
Roy, T. K., Ram, F., Parveen Nangia, Uma Saha and Nizamuddin Khan(2003). Can Women’s Childbearing and Contraceptive Intensions Predict Contraceptive Demand? Finding from A Longitudinal Study in Central India. International family planning perspectives, 299(1):25-31.
Shapiro David and B. Oleko Tambashe. (1994).The impact of women’s Employment and Education on Contraceptive use and Abortion in Kinshasa, Zaire. Studies in Families Planning, 25 (2): 96-110
Shryock, H.S, and Siegel, J.S., 1976. The Methods and Materials of Demography. Studies in Population, Academic Press, California, USA.
Speth, J.G. 1994. Towards a new global strategy viewpoint. People and Planet 3:34-36.
Terefe A. and Charles P Larson, 1993. Modern contraception use in Ethiopia: Does involving husbands make a difference? American Journal of Public Health. 83(11):1567-71.
James Trussell, and Kost, R.I. (1989) Age at marriage and age at first birth. Population Bulletin of the United Nations. New York, NY: United Nations.
United Nation Development Program. Human Development Report, 1992. New York, NY: Oxford University Press; 1992.
The United States Agency for International Development(2009). Achieving the Millennium Development Goals: The contribution of family planning in Cameroon. Health Policy Initiative.