Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-26T22:45:06.969Z Has data issue: false hasContentIssue false
  • English
  • Français

Social and economic factors related to breast-feeding durations in Tanzania

Published online by Cambridge University Press:  31 July 2008

P. R. Andrew Hinde  and
Akim J. Mturi
P. R. Andrew Hinde
Affiliation:
Department of Social Statistics, University of Southampton, Southampton
Akim J. Mturi
Affiliation:
Department of Social Statistics, University of Southampton, Southampton
Get access Rights & Permissions [Opens in a new window]

Summary

Some social and economic factors related to breast-feeding durations in Tanzania are analysed using current status data taken from the 1991–92 Tanzanian Demographic and Health Survey. Proportional hazards and proportional odds models are estimated. The results show that breast-feeding durations vary according to the region of residence of the mother and child (and whether they are living in a rural or an urban area), the age of the mother at the time of the birth, the order of the birth, and the mother's religion.

Type
Research Article
Information
Journal of Biosocial Science , Volume 28 , Issue 3 , July 1996 , pp. 347 - 354
Copyright
Copyright © Cambridge University Press 1996

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bracher, M. & Santow, G. (1981) Some methodological considerations in the analysis of current-status data. Popul. Stud. 35, 425–438.CrossRefGoogle ScholarPubMed
Diamond, I. D. & McDonald, J. W. (1992) Analysis of current status data. In: Demographic Applications of Event History Analysis, pp. 231–252. Edited by Trussell, J., Hankinson, R. & Tilton, J.Clarendon Press, Oxford.CrossRefGoogle Scholar
Diamond, I. D., McDonald, J. W. & Shah, I. H. (1986) Proportional hazards models for current status data: application to the study of differentials in age at weaning in Pakistan. Demography, 23, 607–620.CrossRefGoogle Scholar
Grummer-Strawn, L. M. (1993) Regression analysis of current-status data: an application to breast-feeding. J. Am. statist. Ass. 88, 758–765.CrossRefGoogle ScholarPubMed
Huffman, S. L. (1984) Determinants of breastfeeding in developing countries: overview and policy implications. Stud. Earn. Plann. 15, 170–184.CrossRefGoogle ScholarPubMed
Jain, A. K. & Bongaarts, J. (1981) Breastfeeding: patterns, correlates and fertility effects. Stud. Farn. Plann. 12, 79–99.CrossRefGoogle ScholarPubMed
John, A. M., Menken, J. A. & Trussell, J. (1988) Estimating the distribution of interval length: current status and retrospective history data. Popul. Stud. 42, 115–127.CrossRefGoogle Scholar
McCann, M. F., Liskin, L. S., Piotrow, P. T., Rinehart, W. & Fox, G. (1981) Breast-feeding. Fertility and Family Planning. Population Reports Series J. 24. Johns Hopkins University. Baltimore.Google ScholarPubMed
Mturi, A. J. & Curtis, S. L. (1995) The determinants of infant and child mortality in Tanzania. Hith. Pol. Plann. 10, 384–394.CrossRefGoogle ScholarPubMed
Ngallaba, S., Kapiga, S. H., Ruyobya, I. & Boerma, J. T. (1993) Tanzania Demographic and Health Survey 1991/92. Bureau of Statistics, Dar es Salaam, and Macro International, Maryland.Google Scholar
Trussell, J., Grummer-Strawn, L., Rodriguez, G. & VanLandingham, M. (1992) Trends and differentials in breastfeeding behaviour: evidence from the WFS and DHS. Popul. Stud. 46, 285–307.CrossRefGoogle Scholar
VanLandingham, M., Trussell, J. & Grummer-Strawn, L. (1991) Contraceptive and health benefits of breastfeeding: a review of the recent evidence, Int. Fam. Plann. Perspect. 17, 131–136.CrossRefGoogle Scholar