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VARIATIONS IN UNMET NEED FOR CONTRACEPTION IN ZAMBIA: DOES ETHNICITY PLAY A ROLE?

Published online by Cambridge University Press:  19 July 2013

EUNICE N. S. IMASIKU ,
CLIFFORD O. ODIMEGWU ,
SUNDAY A. ADEDINI  and
DOROTHY N. ONONOKPONO
EUNICE N. S. IMASIKU*
Affiliation:
Demography and Population Studies Programme, University of the Witwatersrand, South Africa Department of Geography, University of Zambia, Zambia
CLIFFORD O. ODIMEGWU
Affiliation:
Demography and Population Studies Programme, University of the Witwatersrand, South Africa
SUNDAY A. ADEDINI
Affiliation:
Demography and Population Studies Programme, University of the Witwatersrand, South Africa Demography and Social Statistics Department, Obafemi Awolowo University, Nigeria
DOROTHY N. ONONOKPONO
Affiliation:
Demography and Population Studies Programme, University of the Witwatersrand, South Africa Department of Sociology and Anthropology, University of Uyo, Nigeria
*
1Corresponding author. Email: eimasiku@yahoo.com
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Summary

Ethnicity has been found to be a significant indicator of social position, and many studies have also established that ethnicity is a significant determinant of contraceptive use. This study aims to examine whether ethnicity is an important predictor of unmet need for contraception. Analysis was based on data for 4343 ever-married women drawn from the 2007 Zambia Demographic and Health Survey. Descriptive analysis indicates that in all ethnic groups except the Barotse and Tonga, women aged 15–49 years were married at an average age below 18. The highest mean number of children among the ethnic groups was 6.7, among the Bemba; the lowest was 5.9, among the Barotse. The highest proportion of women with an unmet need for contraception resided in the Eastern region. Multivariate logistic analyses reveal that children ever-born and region of residence were the most important predictors of unmet need for spacing, whereas for unmet need for limiting predictors were age at first marriage and partner's desire for children. Moreover, unmet need for spacing and limiting among women with secondary or higher education was significantly lower (47% and 50%, respectively) compared with those with no education. Ethnicity was not a significant predictor of unmet need for contraception. The findings stress the need for programmes aimed at enhancing the socioeconomic status of women.

Type
Articles
Information
Journal of Biosocial Science , Volume 46 , Issue 3 , May 2014 , pp. 294 - 315
Copyright
Copyright © Cambridge University Press 2013 

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References

Addai, I. (1999) Ethnicity and contraceptive use in sub-Saharan Africa: the case of Ghana. Journal of Biosocial Science 31, 105–120.Google Scholar
Amin, V., Lundborg, P. & Rooth, D. (2011) Mothers do matter: new evidence on the effect of parents' schooling on children's schooling using Swedish twin data. Institute for the Study of Labour (IZA), Discussion Paper 5946, pp. 1–24.CrossRefGoogle Scholar
Anand, B. K., Singh, J. & Mohi, M. K. (2010) Study of unmet need for family planning in immunization clinic of a teaching hospital at Patiala, India. Internet Journal of Health 11(1), doi: 10.5580/80dGoogle Scholar
Bauni, E., Gichuhi, W. & Wasao, S. (1997) Ethnicity and Fertility in Kenya. African Population and Health Research Center, Nairobi.Google Scholar
Baxter, J. (2002) How much does parental education explain educational attainment of males and females in Australia? Negotiating the Life Course Discussion Paper Series 015, pp. 1–35. URL: lifecourse.anu.edu.au/publications/Discuss_papers/NLCDP015.pdf.Google Scholar
Bayer, A. (2002) Unmet Need for Contraception in the 21st Century. Population Resource Centre, Washington DC.Google Scholar
Bhandari, G. P., Premarajan, K. C., Jha, N., Yaday, B. K., Paudel, I. S. & Nagesh, S. (2006) Prevalence and determinants of unmet need for family planning in a district of eastern region of Nepal. Kathmandu University Medical Journal 4(2), 203–210.Google Scholar
Bhushan, I. (1997) Understanding Unmet Need. University School of Public Health, Johns Hopkins University.Google Scholar
Bizuneh, G., Shiferaw, S. & Melkamu, Y. (2008) Unmet Need and Evaluation of Programme Options to Meet Unmet Need for Contraception in Ethiopia, 2000–2005: Further Analysis of the 2000 and 2005 Ethiopia Demographic and Health Surveys. Macro International Inc., Calverton.Google Scholar
Bradley, S. E. K., Croft, T. N., Fishel, J. D. & Westoff, C. F. (2012) Revising unmet need for family planning. DHS Analytical Studies, No. 25. ICF International, Calverton.Google Scholar
Casterline, J. B., Perez, A. E. & Biddlecom, A. E. (1997) Factors underlying unmet need in the Philippines. Studies in Family Planning 28(3), 173–191.Google Scholar
Chaudhury, R. H. (2001) Unmet need for contraception in South Asia: levels, trends and determinants. Asia-Pacific Population Journal 16, 3–24.CrossRefGoogle Scholar
CSO, MOH, TDRC, UNZA & Macro International Inc. (2009) Zambia Demographic and Health Survey 2007. Macro International Inc., Calverton.Google Scholar
CSO (1974) 1969 Population and Housing Census of Zambia, Final Report. Demographic Analysis, 3, CSO, Lusaka.Google Scholar
CSO (1975) Inter-regional Variations in Fertility in Zambia. CSO, Lusaka.Google Scholar
CSO (1985) 1980 Population and Housing Census of Zambia; Analytical Report. CSO, Lusaka.Google Scholar
CSO (1991) 1990 Census of Population and Housing; Analytical Report Zambia. CSO, Lusaka.Google Scholar
CSO (2003) 2000 Census of Population and Housing; Analytical Report Zambia, 10. CSO, Lusaka.Google Scholar
Culley, L. (2005) Transcending transculturalism? Race, ethnicity and health-care. Nursing Inquiry 13(2), 144–153.Google Scholar
De Broe, S., Hinde, A., Matthews, Z. & Padmadas, S. S. (2005) Diversity in family planning use among ethnic groups in Guatemala. Journal of Biosocial Science 37, 301–317.Google Scholar
Dodoo, N. F., Luo, Y. & Panayotova, E. (1997) Do male reproductive preferences really point to a need to refocus fertility policy? Population Research and Policy Review 16, 447–455.Google Scholar
Dudgeon, M. R. & Inhorn, M. C. (2004) Men's influences on women's reproductive health: medical anthropological perspectives. Social Science & Medicine 59, 1379–1395.Google Scholar
Fenton, S. & May, S. (2002) Ethnicity, nation and ‘race’: connections and disjunctures. In Fenton, S. & May, S. (eds) Ethnonational Identities. Palgrave Macmillan, pp. 1–20.Google Scholar
Gribble, J. & Haffey, J. (2008) Reproductive Health in Sub-Saharan Africa. Population Reference Bureau, Washington DC.Google Scholar
Haque, N. (2010) Unmet need for contraception: the case of married adolescent women in Bangladesh. International Journal of Current Research 9, 29–35.Google Scholar
Hogan, D. P., Berhanu, B. & Assefa, H. (1999) Household organization, women's autonomy, and contraceptive behaviour in Southern Ethiopia. Studies in Family Planning 30(4), 302–314.Google Scholar
Igwegbe, A. O., Igboaja, J. O. & Monago, E. N. (2009) Prevalence and determinants of unmet need for family planning in Nnew, South-east Nigeria. International Journal of Medicine and Medical Sciences 1(8), 325–329.Google Scholar
Jaeger, D. (1981) Settlement patterns and rural development: a human geographical study of the Kaonde, Kasempa District, Zambia. PhD Thesis, University of Amsterdam, Amsterdam.Google Scholar
Kaushik, S. (2000) Unmet need for family planning: a comparative analysis of northern and southern states of India based on NFHS data. Paper presented at the Millennium Conference on Population, Development and Environmental Nexus and XXIII Annual Conference of the IASP. URL: www.unfpa.org.in.Google Scholar
Kekovole, J. (1999) Trends and Correlates of Unmet Need for Contraception in Kenya: Findings and Implications for Fertility Transition. African Population and Health Research Center, Nairobi.Google Scholar
Korra, A. (2002) Attitudes toward Family Planning and Reasons for Nonuse among Women with Unmet Need for Family Planning in Ethiopia. ORC Macro, Calverton.Google Scholar
Korupp, S. E., Ganzeboom, H. B. G. & Lippe, T. V. D. (2002) Do mothers matter? A comparison of models of the influence of mothers' and fathers' educational and occupational status on children's educational attainment. Quality and Quantity 36(1), 17–42.CrossRefGoogle Scholar
Laanpere, M., Rahu, K., Part, K., Dubikaytis, T. & Karro, H. (2012) Ethnic differences in factors associated with the use of contraception among 20 to 44 year old women in Estonia and St Petersburg, Russia. Contraception 86(2), 132–140.Google Scholar
Langworthy, H. W. (1971) Pre-colonial kingdoms and tribal migrations. In Davies, D. H. (ed.) Zambia in Maps. University of London Press, London.Google Scholar
Lin, J. E., Purcell, T. B. & McPheeters, R. A. (2008) Adaptation of predictive models to PDA Hand-Held devices. Western Journal of Emergency Medicine 9(1), 13–19.Google Scholar
McNamee, C. B. (2009) Wanted and unwanted fertility in Bolivia: does ethnicity matter? International Perspectives on Sexual and Reproductive Health 35(4), 166–175.Google Scholar
Macassa, G., Hallquist, J. & Lynch, J. W. (2011) Inequalities in child mortality in sub-Saharan Africa: a social epidemiologic framework. African Journal of Health Sciences 18(1–2), 14–26.Google Scholar
Mishra, M. K. (2011) Ethnic disparities in contraceptive use and its impact on family planning in Nepal. Nepal Journal of Obstetrics and Gynaecology 6(2), 14–19.CrossRefGoogle Scholar
Mitchell, C. J. (1965) Differential fertility amongst urban Africans in Zambia. The Rhodes-Livingstone Journal XXXVII, 1–25.Google Scholar
Ohadike, P. O. & Testafaghiorghis, H. (1975) The Population of Zambia. Institute for Social Research, University of Zambia, Lusaka.Google Scholar
Ojakaa, D. (2008) Trends and Determinants of Unmet Need for Family Planning in Kenya. Macro International Inc., Calverton.Google Scholar
Omwago, M. O. & Khasakhala, A. A. (2006) Factors influencing couples' unmet need for contraception in Kenya. Union for African Population Studies 21(2), 75–94.Google Scholar
Pasha, O., Fikree, F. F. & Vermund, S. (2001) Determinants of unmet need for family planning in squatter settlements in Karachi, Pakistan. Asian-Pacific Population Journal 16(2), 93–108.Google Scholar
Raine, T., Minnis, A. M. & Padian, N. S. (2003) Determinants of contraceptive method among women at risk for unintended pregnancy and sexual transmitted infection. Contraception 68, 19–25.Google Scholar
Rutstein, S. O. & Johnson, K. (2004) The DHS Wealth Index. DHS Comparative Report No. 6. ORC Macro, Calverton.Google Scholar
Saxena, S., Copas, A. J., Mercer, C., Johnson, A. M., Fenton, K. & Erens, B. (2006) Ethnic variations in sexual activity and contraceptive use: national cross-sectional survey. Contraception 74, 224–233.Google Scholar
Schultz, P. (2001) Why governments should invest more to educate girls. World Development 30(2), 207–255.Google Scholar
Shih, G., Vittinghoff, E., Steinauer, J. & Dehlendorf, C. (2011) Racial and ethnic disparities in contraceptive method choice in California. Perspectives on Sexual and Reproductive Health 43(3), 173–180.Google Scholar
Stash, S. (1999) Explanations of unmet need for contraception in Chitwan, Nepal. Studies in Family Planning 30(4), 267–287.Google Scholar
Upson, K., Reed, S. D., Prager, S. W. & Schiff, M. A. (2010) Factors associated with contraceptive nonuse among US women ages 35–44 at risk of unwanted pregnancy. Contraception 81, 427–434.Google Scholar
Wafula, S. & Ikamari, L. (2007) Levels, patterns and trends of unmet need for family planning in Kenya. Paper presented at the Fifth African Population Conference. URL: uaps2007.princeton.edu/papers/70319Google Scholar
Watson, W. (1958) Tribal Cohesion in a Money Economy: A Study of the Mambwe People of Northern Rhodesia. Manchester University Press, Manchester.Google Scholar
Wotela, K. & Moultrie, T. (2008) Deriving traditional reproductive regimes to explain sub-national fertility differentials in Zambia. Paper presented at the Population Association of America Annual Conference, New Orleans, 17–19th April 2008.Google Scholar
Wotela, K. (2010) Deriving ethno-geographical clusters for comparing ethnic differentials in Zambia. World Cultures eJournal 17(2), 1–30. URL: paa2008.princeton.edu/papers/80964.Google Scholar