International Journal for Equity in Health | |
Mothers' education but not fathers' education, household assets or land ownership is the best predictor of child health inequalities in rural Uganda | |
Stefan Peterson4  James K Tumwine1  Anne Nordrehaug Åstrøm3  Thorkild Tylleskär3  Henry Wamani2  | |
[1] Department of Paediatrics and Child Health, Makerere University Medical School, P.O Box 7072, Kampala, Uganda;Ministry of Health, P.O Box 7272, Kampala, Uganda;Centre for International Health, University of Bergen, Armauer Hansen Building, N-5021 Bergen, Norway;Division of International Health (IHCAR), Karolinska Institute, Norrbacka, S-17176 Stockholm, Sweden | |
关键词: Uganda; mother education; targeting; socio-economic; stunting; inequalities; Child health; | |
Others : 1147774 DOI : 10.1186/1475-9276-3-9 |
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received in 2004-04-06, accepted in 2004-10-13, 发布年份 2004 | |
【 摘 要 】
Background
Health and nutrition inequality is a result of a complex web of factors that include socio-economic inequalities. Various socio-economic indicators exist however some do not accurately predict inequalities in children. Others are not intervention feasible.
Objective
To examine the association of four socio-economic indicators namely: mothers' education, fathers' education, household asset index, and land ownership with growth stunting, which is used as a proxy for health and nutrition inequalities among infants and young children.
Methods
This was a cross-sectional survey conducted in the rural district of Hoima, Uganda. Two-stage cluster sampling design was used to obtain 720 child/mother pairs. Information on indicators of household socio-economic status and child anthropometry was gathered by administering a structured questionnaire to mothers in their home settings. Regression modelling was used to determine the association of socio-economic indicators with stunting.
Results
One hundred seventy two (25%) of the studied children were stunted, of which 105 (61%) were boys (p < 0.001). Bivariate analysis indicated a higher prevalence of stunting among children of: non-educated mothers compared to mothers educated above primary school (odds ratio (OR) 2.5, 95% confidence interval (CI) 1.4–4.4); non-educated fathers compared to fathers educated above secondary school (OR 1.7, 95% CI 0.8–3.5); households belonging in the "poorest" quintile for the asset index compared to the "least poor" quintile (OR 2.1, 95% CI 1.2–3.7); Land ownership exhibited no differentials with stunting. Simultaneously adjusting all socio-economic indicators in conditional regression analysis left mothers' education as the only independent predictor of stunting with children of non-educated mothers significantly more likely to be stunted compared to those of mothers educated above primary school (OR 2.1, 95% CI 1.1–3.9). More boys than girls were significantly stunted in poorer than wealthier socio-economic strata.
Conclusions
Of four socio-economic indicators, mothers' education is the best predictor for health and nutrition inequalities among infants and young children in rural Uganda. This suggests a need for appropriate formal education of the girl child aimed at promoting child health and nutrition. The finding that boys are adversely affected by poverty more than their female counterparts corroborates evidence from previous studies.
【 授权许可】
2004 Wamani et al; licensee BioMed Central Ltd.
【 预 览 】
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【 图 表 】
Figure 1.
【 参考文献 】
- [1]Claeson Mariam, Waldman Ronald J: The evolution of child health programmes in developing countries: from targeting diseases to targeting people. Bull World Health Organ 2000, 78:1234-1245.
- [2]Victora Cesar G, Wagstaff Adam, Schellenberg Joanna Armstrong, Gwatkin Davidson, Cleason Mariam, Habicht Jean-Pierre: Applying an equity lens to child health and mortality: more of the same is not enough. The Lancet 2003, 362:233-241.
- [3]Ehiri John E, Prowse Julie M: Child health promotion in developing countries: the case for integration of environmental and social interventions. Health Pol Plann 1999, 14:1-10.
- [4]Braveman P: Monitoring equity in health: a policy-oriented approach in low- and middle-income countries. WHO/CHS/HSS/981, Equity Initiative Paper No 3 1998.
- [5]WHO Working Group: Use and interpretation of anthropometric indicators on nutritional status. Bull World Health Organ 1986, 64:929-941.
- [6]Beaton G, Kelly A, Kevany R, Mason J: Appropriate uses of child anthropometric indices in children-biological basis for interpretation. Geneva, ACC/SCN (Nutrition Policy Discussion Paper No. 7); 1990.
- [7]Martorell R, Ramakrishnan U, Schroeder DG, Melgar P, Neufeld L: Intrauterine growth retardation, body size, body composition and physical performance in adolescence. Eur J Clin Nutr 1998, 52:S43-53.
- [8]Espo M, Kulmala T, Maleta K, Cullinan T, Salin ML, Ashorn P: Determinants of linear growth and predictors of severe stunting during infancy in rural Malawi. Acta Paediatr 2002, 91:1364-1370.
- [9]Adair Linda S., Guilkey David K.: Age-Specific Determinants of Stunting in Filipino Children. J Nutr 1997, 127:314-320.
- [10]Begin France, Frongillo Edward A., Jr., Delisle Helene: Caregiver behaviors and resources influence child height-for-age in rural Chad. J Nutr 1999, 129:680-686.
- [11]Cole TJ, Parkin JM: Infection and its effect on growth of young children: a comparison of the Gambia and Uganda. Trans R Soc Trop Med Hyg 1977, 71:196-198.
- [12]Pradhan Menno, Sahn David E, Younger Stephen: Decomposing world health inequality. Journal of Health Economics 2003, 22:271-293.
- [13]Wagstaff A, Paci P, van Doorslaer E: On the measurement of inequalities in health. Social Science and Medicine 1991, 33:545-557.
- [14]Kikafunda J, Walker A, Collett D, Tumwine J: Risk factors for early childhood malnutriton in Uganda. Pediatrics 1998, 102:e45.
- [15]Tumwine J, Barugahare W: Nutrition status of children in Kasese district. East Afr Med J 2002, 79:427-434.
- [16]Ukwuani Festus A., Suchindran Chirayath M.: Implications of women's work for child nutritional status in sub-Saharan Africa: a case study of Nigeria. Social Science & Medicine 2003, 56:2109-2121.
- [17]Vella V, Tomkins A, Borghesi A, Migliori GB, Oryem VY: Determinants of stunting and recovery from stunting in northwestern Uganda. Int J Epidemiol 1994, 23:782-786.
- [18]Zere Eyob, Mclnyre Diane: Inequities in under-five child malnutrition in South Africa. International Journal for Equity in Health 2003, 2:7. BioMed Central Full Text
- [19]Rasmus Heltberg: Does economic growth reduce child malnutrition? Washington, D.C., The World Bank (Working Paper); 2002.
- [20]Bollen A Kenneth, Glanville Jennifer L, Stecklov Guy: Economic status proxies in studies of fertility in developing countries: does the measure matter? Chapel Hill, N.C., Working Paper No 38, MEASURE; 2001.
- [21]Uganda National Bureau of Statistics: Population and housing census, district population series, Hoima. 1992.
- [22]Bennett S, Woods T, Liyanage WM, Smith DL: A simplified general method for cluster-sample surveys of health in developing countries. World Health Stat Q 1991, 44:98-106.
- [23]Ministry of Finance and Economic Planning Uganda: Demographic and health survey. Kampala, Uganda; 2000:153 -1157.
- [24]Cochran WG: Sampling Techniques. John Wiley & Sons, New York; 1977.
- [25]Haraldsdottir J: Minimizing error in the field: quality control in dietary surveys. Eur J Clin Nutr 1993, 47:s19-s24.
- [26]Gibson R: Principles of nutrition assessment. Oxford University Press; 1990.
- [27]MEASURE DHS: . wwwmeasuredhscom/methodology/startcfm
- [28]Filmer D, Pritchett L: Estimating wealth effects without expenditure --or tears: an application to educational enrollments in states of India. Demography 2001, 38:115-132.
- [29]The Republic of Uganda: Uganda participatory poverty assessment report. Kampala, Ministry of Finance, Planning and Economic Development; 2000.
- [30]Lauritsen JM, Bruus M, Myatt MA: An extended tool for validated dataentry and documentation of data. v2.x edition. Odense Denmark, The Epidata Association; 2001.
- [31]Saleemi MA, Ashraf RN, Mellander L, Zaman SS: Determinants of stunting at 6, 12, 24 and 60 months and postnatal linear growth in Parkistani children. Acta Paediatr 2001, 90:1304-1308.
- [32]Turrell Gavin, Hewitt Bellinda, Patterson Carla, Oldenburg Brian: Measuring socio-economic position in dietary research: is choice of socio-economic indicator important? Public Health Nutrition 2003, 6:191-200.
- [33]UNICEF: The stats of the world's children 2004. New York; 2004.
- [34]Schellenberg Joanna Armstrong, Victora CG, Mushi Adiel, de Savigny Don, Schellenberg David, Mshinda Hassan, Bryce Jennifer: Inequities among the very poor: health care for children in rural southern Tanzania. Lancet 2003, 361:561-566.
- [35]Jones Gareth, Steketee Richard W, Black Robert E, Bhutta Zulfiqar A, Morris SS, and the Bellagio Child Survival Study Group: How many child deaths can we prevent this year? Lancet 2003, 362:65-71.
- [36]Shrimpton R, Victora CG, de Onis M, Lima RC, Blossner M, Clugston G: Worldwide timing of growth faltering: implications for nutritional interventions. Pediatrics 2001, 107:e75.
- [37]Ngare DK, Muttunga JN: Prevalance of malnutrition in Kenya. East Afr Med J 1999, 76:376-380.
- [38]Wells Janathan C K: Natural selection and sex differences in morbidity and mortality in early life. J theor Biol 2000, 202:65-76.