Skip to main content

Advertisement

Log in

Associations Between Orphan and Vulnerable Child Caregiving, Household Wealth Disparities, and Women’s Overweight Status in Three Southern African Countries Participating in Demographic Health Surveys

  • Published:
Maternal and Child Health Journal Aims and scope Submit manuscript

Abstract

This study examines whether orphan and vulnerable children (OVC) primary caregivers are facing absolute household wealth (AWI) disparities, the association between AWI and women’s overweight status, and the modifying role of OVC primary caregiving status on this relationship. Demographic Health Surveys data (2006–2007) from 20 to 49 year old women in Namibia (n = 6,305), Swaziland (n = 2,786), and Zambia (n = 4,389) were analyzed using weighted marginal means and logistic regressions. OVC primary caregivers in Namibia and Swaziland had a lower mean AWI than other women in the same country. In Zambia, OVC primary caregivers had a lower mean AWI score than non-primary caregivers living with an OVC but a higher mean AWI score than non-OVC primary caregivers. In Swaziland and Zambia, even small increases in household wealth were associated with higher odds for being overweight regardless of women’s caregiving status. Only in Namibia, OVC primary caregiving modified the effect of the previous association. Among Namibian OVC primary caregivers, women who had at least medium household wealth (4 or more AWI items) were more likely to be overweight than their poorest counterparts (0 or 1 AWI items). OVC primary caregivers are facing household wealth disparities as compared to other women from their communities. Future studies/interventions should consider using population-based approaches to reach women from every household wealth level to curb overweight in Swaziland and Zambia and to focus on specific household wealth characteristics that are associated with OVC primary caregivers’ overweight status in Namibia.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

Abbreviations

AWI:

Absolute household wealth

DHS:

Demographic Health Surveys

OVC:

Orphan and vulnerable children

References

  1. UNAIDS, UNICEF, & WHO. (2008). Children and AIDS: Second stocktaking report. New York: United Nations Children’s Fund.

    Google Scholar 

  2. Ministry of Health and Social Services and ICF Macro. Namibia health facility census 2009. Cited January 10, 2013. http://www.measuredhs.com/pubs/pdf/SPA16/SPA16.pdf

  3. Central Statistical Office and Macro International Inc. Swaziland demographic and health survey 200607. Cited January 10, 2013. http://www.measuredhs.com/pubs/pdf/FR202/FR202.pdf

  4. Central Statistical Office, Ministry of Health, Tropical Diseases Research Centre, University of Zambia and Macro International Inc. Zambia demographic and health survey 2007. Cited January 10, 2013. www.measuredhs.com/pubs/pdf/FR211/FR211[revised-05-12-2009].pdf

  5. Joint United Nations Programme on HIV/AIDS (UNAIDS). (2012). UNAIDS report on the global AIDS epidemic.

  6. Maruapula, S. D., Jackson, J. C., Holsten, J., Shaibu, S., Malete, L., Wrotniak, B., et al. (2011). Socio-economic status and urbanization are linked to snacks and obesity in adolescents in Botswana. Public Health Nutrition, 14(12), 2260–2267.

  7. Food and Agriculture Organization. (2006). The double burden of malnutrition: case studies from six developing countries. Bulletin FAO Food and Nutrition Paper, p. 334.

  8. Jones-Smith, J. C., Gordon-Larsen, P., Siddiqi, A., & Popkin, B. M. (2012). Is the burden of overweight shifting to the poor across the globe? Time trends among women in 39 low- and middle-income countries (1991–2008). International Journal of Obesity, 36(8), 1114–1120.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  9. Kanamori, M. (2013) The association of orphan and vulnerable child (OVC) primary caregiving, household wealth, and female autonomy on women’s body mass index in Namibia, Swaziland and Zambia [PhD thesis]. Maryland, Qld: University of Maryland College Park.

  10. Ice, G. Y. J., Heh, V., & Juma, E. (2010). The impact of caregiving on the health and wellbeing of Kenyan Luo grandparents. Research on Aging, 32, 40.

    Article  Google Scholar 

  11. Hohmann, S., & Garenne, M. (2010). Health and wealth in Uzbekistan and sub-Saharan Africa in comparative perspective. Economics and Human Biology, 8, 346–360.

    Article  PubMed  Google Scholar 

  12. Hohmann, S., & Garenne, M. (2011). Absolute versus relative measures of poverty: Application to DHS African Surveys. Journal of US-China Public Administration, 8(7), 748–762.

    Google Scholar 

  13. Tarimo, E. A., Kohi, T. W., Outwater, A., & Blystad, A. (2009). Gender roles and informal care for patients with AIDS: A qualitative study from an urban area in Tanzania. Journal of Transcultural Nursing, 20, 61–68.

    Article  PubMed  Google Scholar 

  14. Miller, C. M., Gruskin, S., Subramanian, S. V., Rajaraman, D., & Heymann, S. J. (2006). Orphan care in Botswana’s working households: Growing responsibilities in the absence of adequate support. American Journal of Public Health, 96, 1429–1435.

    Article  PubMed Central  PubMed  Google Scholar 

  15. van der Merwe, M. T., & Pepper, M. S. (2006). Obesity in South Africa. Obesity Reviews, 7, 315–322.

    Article  PubMed  Google Scholar 

  16. ICF International. (2012). Survey organization manual for demographic and health surveys. MEASURE DHS. Calverton, MD: ICF International.

    Google Scholar 

  17. Demographic Health Surveys [Internet]. Publications search results. Cited September 19, 2014. http://dhsprogram.com/publications/publication-search.cfm

  18. Teller, H., & Yimar, G. (2000). Levels and determinants of malnutrition in adolescent and adult women in Southern Ethiopia. Ethiopian Journal of Health Development, 14(1), 57–66.

    Google Scholar 

  19. Garenne, M. (2011). Trends in nutritional status of adult women in Sub-Saharan Africa. DHS Comparative Reports No. 27. Calverton, Maryland, USA: ICF Macro. Cited January 10, 2013. www.measuredhs.com/pubs/pdf/CR27/CR27.pdf

  20. Garenne, M., & Hohmann-Garenne, S. (2003). A wealth index to screen high-risk families: Application to Morocco. Journal of Health, Population, and Nutrition, 21, 235–242.

    PubMed  Google Scholar 

  21. Menard, S. (1995). Applied logistic regression analysis. Sage university paper series on the quantitative applications in the social sciences (pp. 7–106). Thousand Oaks, CA: Sage.

    Google Scholar 

  22. Myers, R. H. (1990). Classical and modern regression with applications. Boston, MA: PWS-Kent Publishing Company.

    Google Scholar 

  23. Mwinituo, P. P., & Mill, J. E. (2006). Stigma associated with Ghanaian caregivers of AIDS patients. Western Journal of Nursing Research, 28, 369–382.; discussion 83–91.

    Article  PubMed  Google Scholar 

  24. Foster, G., & Williamson, J. (2000). A review of current literature on the impact of HIV/AIDS on children in sub-Saharan Africa. Aids, 14(Suppl 3), S275–S284.

    PubMed  Google Scholar 

  25. Sundquist, K., Malmstrom, M., & Johansson, S. E. (2004). Neighbourhood deprivation and incidence of coronary heart disease: A multilevel study of 2.6 million women and men in Sweden. Journal of Epidemiology and Community Health, 58, 71–77.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  26. Lopez, R. P. (2007). Neighborhood risk factors for obesity. Obesity, 15, 2111–2119.

    Article  PubMed  Google Scholar 

  27. Kuga, S., Njelekela, M., Noguchi, T., Kanda, T., Yamori, M., Sato, T., et al. (2002). Prevalence of overweight and hypertension in Tanzania: Special emphasis on resting energy expenditure and leptin. Clinical and Experimental Pharmacology and Physiology. Supplement, 29, S23–S26.

    Article  CAS  PubMed  Google Scholar 

  28. Christensen, D. L., Eis, J., Hansen, A. W., Larsson, M. W., Mwaniki, D. L., Kilonzo, B., et al. (2008). Obesity and regional fat distribution in Kenyan populations: Impact of ethnicity and urbanization. Annals of Human Biology, 35, 232–249.

    Article  PubMed  Google Scholar 

  29. Lopez-Arana, S., Burdorf, A., & Avendano, M. (2013). Trends in overweight by educational level in 33 low- and middle-income countries: the role of parity, age at first birth and breastfeeding. Obesity Reviews, 14, 806–817.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  30. Filmer, D. P. (1998). Estimating wealth effects without expenditure dataOr tears: An application to educational enrollments in states of India. World Bank Policy Research Working Paper No. 1994. Washington, DC: World Bank.

  31. Vyas, S., & Kumaranayake, L. (2006). Constructing socio-economic status indices: How to use principal components analysis. Health Policy and Planning, 21, 459–468.

    Article  PubMed  Google Scholar 

  32. Hirst, M. (2005). Carer distress: A prospective, population-based study. Social Science and Medicine, 61, 697–708.

    Article  PubMed  Google Scholar 

  33. Burton, L. C., Zdaniuk, B., Schulz, R., Jackson, S., & Hirsch, C. (2003). Transitions in spousal caregiving. Gerontologist, 43, 230–241.

    Article  PubMed  Google Scholar 

  34. Scott, A., Ejikeme, C. S., Clottey, E. N., & Thomas, J. G. (2013). Obesity in sub-Saharan Africa: Development of an ecological theoretical framework. Health Promotion International, 28(1), 4–16.

    Article  PubMed  Google Scholar 

  35. Lopez-Arana, S., Avendano, M., van Lenthe, F., & Burdorf, A. (2013). Trends in overweight among women differ by occupational class: Results from 33 low-and middle-income countries in the period 1992–2009. International Journal of Obesity, 38(1), 97–105.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

We acknowledge Dr. Michel Garenne as he has always been willing to answer questions and share his previous work related to the Absolute Wealth Index. We are grateful to Macro International Inc. for making available the DHS data for these analyses. This work was supported in part by Cooperative Agreement Number 1 U48 DP001929 from the Centers for Disease Control and Prevention, Prevention Research Centers Program and by a P20 Exploratory Center of Excellence grant (P20MD002288; Sub-Project ID: 6068), funded by the National Institute on Minority Health and Health Disparities (NIMHD) of the National Institutes of Health (NIH) and house within the Center for Research on U.S. Latino HIV/AIDS and Drug Abuse (CRUSADA) at Florida International University and the Department of Epidemiology at the University of Maryland College Park.

Conflict of interest

The author(s) declare that they have no competing interests.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mariano J. Kanamori.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kanamori, M.J., Carter-Pokras, O.D., Madhavan, S. et al. Associations Between Orphan and Vulnerable Child Caregiving, Household Wealth Disparities, and Women’s Overweight Status in Three Southern African Countries Participating in Demographic Health Surveys. Matern Child Health J 19, 1662–1671 (2015). https://doi.org/10.1007/s10995-015-1680-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10995-015-1680-7

Keywords

Navigation