Determinants of Wasting Among Under-Five Children in Ethiopia: (A Multilevel Logistic Regression Model Approach)

Authors

  • Gutu Adugna Dabale Department of Statistics, Arba Minch University, P.O. Box: 21, Arba Minch, Ethiopia
  • M. K Sharma Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia

DOI:

https://doi.org/10.6000/1929-6029.2014.03.04.5

Keywords:

Children, Malnutrition, Wasting, Multilevel, Logistic.

Abstract

Child malnutrition in Ethiopia is one of the most serious public health problems and the highest in the world. Wasting refers to low weight-for-height and measures the body’s mass in relation to body length. The objective of this study was to identify determinants of wasting among under-five children in Ethiopia. The study used data collected in the Ethiopian Demographic and Health Survey in 2010/2011. A total of 9611 under-five age children were included in the present study. To analyze the data descriptive statistics and multilevel binary logistic regression techniques were employed. The descriptive statistics results indicate that about 11.7 % of under-five children in Ethiopia were wasted. The results of study indicated that the risk of wasting was highest among male children, small size at birth, children whose parents resided in rural areas, children’s of illiterate mothers, children whose mother’s body mass index was low, children from poor families and children who had diarrhea and fever two weeks before the date of the survey. The multilevel model also showed the existence of significant variations in the prevalence of wasting among the regions in Ethiopia.

Author Biographies

Gutu Adugna Dabale, Department of Statistics, Arba Minch University, P.O. Box: 21, Arba Minch, Ethiopia

Statistics

M. K Sharma, Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia

Statistics

References

Olaf M, Michael K. Malnutrition and health in developing countries. Canad Med Asso J 2005; 173: 20-25.

WHO. Nutrition for health and development, protection of the human environment, Geneva 2005.

de Onis M, Blössner MB, Borghi E. Estimates of global prevalence of childhood underweight in 1990 and 2015. JAMA 2004; 291: 2600-06. http://dx.doi.org/10.1001/jama.291.21.2600 DOI: https://doi.org/10.1001/jama.291.21.2600

WHO. Global Database on Child Growth and Malnutrition: Methodology and applications. Int J Epid 2003; 32: 518-526. http://dx.doi.org/10.1093/ije/dyg099 DOI: https://doi.org/10.1093/ije/dyg099

ORC Macro. Measure DHS+STAT compiler 2001. http://www.measuredhs.com

Alemu M, Nicola J, Belele T. Tackling child malnutrition in Ethiopia; Young lives project working paper No 19; Save the children UK 2005.

EDHS. Ethiopian Demographic and health survey (EDHS), Addis Ababa, Ethiopia and Carverton, Mary land, USA 2011.

Dai J, Li Z, Rocke, D. Hierarchical logistic regression modeling with SAS Glimmix 2010. http://www. Lexjansen.com

Duncan C, Jones K, Moon G. Psychiatric morbidity: a multilevel approach to regional variations in the UK. J Epid Comm Health 1995; 49: 290-5. http://dx.doi.org/10.1136/jech.49.3.290 DOI: https://doi.org/10.1136/jech.49.3.290

Snijders T, Bosker R. Multilevel Analysis: an Introduction to Basic and Advanced Multilevel Modeling. London/ Thousand Oaks/ New Delhi: Sage Publications 1999.

Goldstein H. Multilevel Statistical Models. London: Edward Arnold/New York: Halsted 1995.

Goldstein H, Rasbash J. Improved approximations for multilevel models with binary responses. J Roy Stat Soc A 1996; 159: 505-513. DOI: https://doi.org/10.2307/2983328

Hosmer D, Lemeshow S. Applied Logistic Regression. John Wiley and Sons Inc., New York 2000. http://dx.doi.org/10.1002/0471722146 DOI: https://doi.org/10.1002/0471722146

Salah EO, Mahgoub, Nnyepi M, Bandeke T. Factors Affecting Prevalence of Malnutrition among Children Under Three Years of Age In Botswana. Afr J Food Agr Nutr Dev 2006; 6. DOI: https://doi.org/10.4314/ajfand.v6i1.19171

Oyekale SA. Factors Explaining Acute Malnutrition among Under-Five Children in Sub-Sahara Africa (SSA). Life Sci J 2012; 9: 2101-2107.

Wise V. Nutritional Situation of Young Children in Rwanda: An Analysis of Anthropometric data collected by the Household Living Conditions Survey 1999 –2001. Research Report, Food Security Research Project (FSRP) and Division of Agricultural Statistics (DSA) Ministry of Agriculture, Livestock, and Forestry 2004.

Babatunde OR, Olagunju FI, Fakayode SB, Sola-Ojo FE. Prevalence and Determinants of Malnutrition among Under-fiveChildren of Farming Households in Kwara State, Nigeria. J Agri Sci 2011; 3. DOI: https://doi.org/10.5539/jas.v3n3p173

Rayhan IM, Khan HSM. Factors Causing Malnutrition among under Five Children in Bangladesh. Pakistan J Nutr 2006; 5: 558-562. http://dx.doi.org/10.3923/pjn.2006.558.562 DOI: https://doi.org/10.3923/pjn.2006.558.562

Pradhan A. Factors associated with nutritional status of the under five children. Asian J Med Sci 2010; 1: 6-8. http://dx.doi.org/10.3126/ajms.v1i1.2927 DOI: https://doi.org/10.3126/ajms.v1i1.2927

Central Statistical Authority (CSA) [Ethiopia] and ORC Macro. Ethiopia Demographic and Health Survey 2000. Addis Ababa, Ethiopia, and Calverton, Maryland, USA: Central Statistical Authority and ORC Macro 2001.

Lisa C, Smith, Lawrence H. Cross country analysis of child malnutrition in developing countries. Washington, DC:International Food Policy Research Institute 2000.

Ruel MJ, Garrett S, Morris D, Maxwell A, Oshaug P, Engle P, Menon A, Slack L, Haddad. Urban Challenges to Food and Nutrition Security: A Review of Food Security, Health and Care-Giving in the Cities. FCND Discussion Paper 51. Washington DC: International Food Policy Research Institute 1998.

Amsalu S, Tigabu Z. Risk factors for severe acute malnutrition in children under the age of five: A case-control study. Ethio J Health Dev 2008; 22: 21-25. DOI: https://doi.org/10.4314/ejhd.v22i1.10058

Smith LC, Haddad L. Explaining Child Malnutrition in Developing Countries: A Cross-Country Analysis.” IFPRI Research Report 111. Washington D.C. International Policy Research Institute 2000.

Frogillo EA, de Onis M, Hauson KMP. Socio-economic and demographic factors are associated with worldwide patterns of stunting and wasting of children. J Nutr 1997; 127: 2302-2309. DOI: https://doi.org/10.1093/jn/127.12.2302

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Published

2014-11-06

How to Cite

Dabale, G. A., & Sharma, M. K. (2014). Determinants of Wasting Among Under-Five Children in Ethiopia: (A Multilevel Logistic Regression Model Approach). International Journal of Statistics in Medical Research, 3(4), 368–377. https://doi.org/10.6000/1929-6029.2014.03.04.5

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General Articles