Table of Contents
International Journal of Population Research
Volume 2016, Article ID 5236351, 7 pages
http://dx.doi.org/10.1155/2016/5236351
Research Article

Proximate Determinants of Fertility in Zambia: Analysis of the 2007 Zambia Demographic and Health Survey

Department of Public Health, University of Zambia School of Medicine, P.O. Box 50110, 10101 Lusaka, Zambia

Received 25 August 2015; Revised 18 March 2016; Accepted 23 March 2016

Academic Editor: Jonathan Haughton

Copyright © 2016 Mumbi Chola and Charles Michelo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Central Statistical Office (CSO), 2010 Census of Population and Housing: National Analytical Report, Central Statistical Office (CSO), Lusaka, Zambia, 2012.
  2. Central Statistical Office and Ministry of Finance, Zambia Demographic and Health Survey 2007, CSO and Macro International Inc, Calverton, Md, USA, 2009.
  3. J. Bongaarts and J. E. Potter, Fertility, Biology and Behavior, Academic Press, New York, NY, USA, 1983.
  4. J. T. Boerma and S. S. Weir, “Integrating demographic and epidemiological approaches to research on HIV/AIDS: the proximate-determinants framework,” The Journal of Infectious Diseases, vol. 191, supplement 1, pp. S61–S67, 2005. View at Publisher · View at Google Scholar · View at Scopus
  5. M. M. Islam, M. A. Islam, and N. Chakroborty, “Fertility transition in Bangladesh: understanding the role of the proximate determinants,” Journal of Biosocial Science, vol. 36, no. 3, pp. 351–369, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. J. Bongaarts, “A framework for analyzing the proximate determinants of fertility,” Population and Development Review, vol. 4, no. 1, pp. 105–132, 1978. View at Publisher · View at Google Scholar
  7. M. Y. A. Lubaale and J. B. Kayizzi, “Using the Bongaarts model in explaining fertility decline in Urban areas of Uganda,” in Proceedings of the 5th African Population Conference, Arusha, Tanzania, December 2007.
  8. W. Mekonnen and A. Worku, “Determinants of fertility in rural Ethiopia: the case of Butajira Demographic Surveillance System (DSS),” BMC Public Health, vol. 11, article 782, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. G. Letamo, “Contributions of the proximate determinants to fertility change in Botswana,” Journal of Biosocial Science, vol. 28, no. 3, pp. 325–338, 1996. View at Google Scholar · View at Scopus
  10. M. A. Ushie, A. A. M. Ogaboh, E. O. Olumodeji, and F. Attah, “Socio-cultural and economic determinants of fertility differentials in rural and urban Cross Rivers State, Nigeria,” Journal of Geography and Regional Planning, vol. 4, no. 7, pp. 383–391, 2011. View at Google Scholar
  11. R. Adhikari, “Demographic, socio-economic, and cultural factors affecting fertility differentials in Nepal,” BMC Pregnancy and Childbirth, vol. 10, article 19, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. N. P. Tey, S. T. Ng, and S. Y. Yew, “Proximate determinants of fertility in peninsular Malaysia,” Asia-Pacific Journal of Public Health, vol. 24, no. 3, pp. 495–505, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. T. Mahjabeen and I. A. Khan, “Analyzing Bongaarts model and its applications in the context of Bangladesh,” in Proceedings of the 19th International Congress on Modelling and Simulation, pp. 3052–3058, Perth, Australia, December 2011. View at Scopus
  14. K. Dzekedzeke and N. Nyangu, “Fertility patterns and their determinants,” in DHS Regional Analysis Workshop fro Anglophone African, 1994. View at Google Scholar
  15. Ministry of Health, National Health Policy, Ministry of Health, Lusaka, Zambia, 2012.
  16. Futures Group, Proximate Determinants of Fertility, 2012, http://futuresgroup.com/resources/software_models/proximate_determinants_of_fertility.
  17. A. Raj, N. Saggurti, D. Balaiah, and J. G. Silverman, “Prevalence of child marriage and its effect on fertility and fertility-control outcomes of young women in India: a cross-sectional, observational study,” The Lancet, vol. 373, no. 9678, pp. 1883–1889, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. M. M. Islam, A. S. S. Dorvlo, and A. M. Al-Qasmi, “Proximate determinants of declining fertility in Oman in the 1990s,” Canadian Studies in Population, vol. 38, no. 3-4, pp. 133–152, 2011. View at Google Scholar · View at Scopus
  19. K. K. Singh, C. M. Suchindran, and K. Singh, “Effects of breast feeding after resumption of menstruation on waiting time to next conception,” Human Biology, vol. 65, no. 1, pp. 71–86, 1993. View at Google Scholar · View at Scopus
  20. G. Alene and A. Worku, “Estimation of the total fertility rates and proximate determinants of fertility in North and South Gondar zones, Northwest Ethiopia: an application of the Bongaarts' model,” Ethiopian Journal of Health Development, vol. 23, no. 1, pp. 19–27, 2009. View at Publisher · View at Google Scholar
  21. W. Mekonnen and A. Worku, “Levels and proximate determinants of fertility in Butajira district, South Central Ethiopia,” Ethiopian Journal of Health Development, vol. 25, no. 3, pp. 184–191, 2011. View at Google Scholar · View at Scopus
  22. M. Palamuleni, “Fertility decline in Malawi: an analysis of the proximate determinants,” Journal of Social Development in Africa, vol. 25, no. 1, pp. 9–38, 2010. View at Google Scholar · View at Scopus
  23. L. Jolly and C. J. N. Gribble, “The approximate determinants of fertility,” in Demographic Change in Sub-Saharan Africa, N. R. Council, Ed., chapter 3, The National Academies Press, Washington, DC, USA, 1993. View at Google Scholar
  24. E. Karakaya, “Socioeconomic determinants on fertility rate at an aggregate level: a linear regression model for turkish provinces,” Public Knowledge Journal, vol. 6, pp. 1–6, 2014. View at Google Scholar
  25. I. Kalule-Sabiti, “Socio-economic factors affecting fertility in Kenya,” South African Journal of Sociology, vol. 23, no. 2, pp. 46–52, 1992. View at Publisher · View at Google Scholar
  26. D. P. Weerasinghe and N. J. Parr, “Effect of wealth on marital fertility in Sri Lanka,” Journal of Health Population and Nutrition, vol. 20, no. 2, pp. 112–119, 2002. View at Google Scholar · View at Scopus
  27. D. Jara, T. Dejene, and M. Taha, “Determinants of high fertility status among married women in Gilgel Gibe Field Research Center of Jimma University, Oromia, Ethiopia: a case control study,” Public Health Research, vol. 3, no. 2, pp. 9–17, 2013. View at Publisher · View at Google Scholar
  28. S. A. Adebowale, S. A. Adedini, L. D. Ibisomi, and M. E. Palamuleni, “Differential effect of wealth quintile on modern contraceptive use and fertility: evidence from Malawian women,” BMC Women's Health, vol. 14, no. 1, article 40, 2014. View at Publisher · View at Google Scholar · View at Scopus
  29. S. A. Adebowale and M. E. Palamuleni, “Childbearing dynamics among married women of reproductive age in Nigeria: re-affirming the role of education,” African Population Studies, vol. 27, no. 2, pp. 301–318, 2014. View at Publisher · View at Google Scholar
  30. L. Ibisomi and C. Odimegwu, “Understanding resolution of differential fertility preferences among couples in Nigeria,” International Journal of Business and Social Science, vol. 2, no. 4, pp. 98–105, 2011. View at Google Scholar