FACTORS ASSOCIATED WITH UNDERWEIGHTS AMONG CHILDREN  OF 6-59 MONTHS AGE IN MIESSO DISTRICT, OROMIA, ETHIOPIA

Fuad Redi Abdella; Mustefa Abdulkadir; Getachew Gashaw; Abebe Getu

doi:10.48165/

Authors

Fuad Redi Abdella Department of Statistics,Oda Bultum University, Chiro (Ethiopia)
Mustefa Abdulkadir Department of Horticulture,Oda Bultum University, Chiro (Ethiopia)
Getachew Gashaw Department of Biology,Oda Bultum University, Chiro (Ethiopia)
Abebe Getu Department of Food Science and Post-Harvest Technology, Oda Bultum University, Chiro (Ethiopia)

DOI:

https://doi.org/10.48165/

Keywords:

Miesso, malnutrition, partial proportional odds models, underweight, weight for age

Abstract

Children are most exposed to under nourishment because of high dietary requirements for their growth and development. The present study was aimed to determine the prevalence of underweight children in age group of 6-59monthsinMeisso district, Oromia (Ethiopia) and identify the associated factors responsible for it. A community based cross sectional study was conducted on 296 children. The data was collected by using a well structured pretested questionnaire. Anthropometric measurements of children were taken to assess their nutritional status. Generalized ordered logit model, proportional odds model and partial proportional odds model were compared and finally the partial proportional odds model was taken as the best model for current study to identify the factors associated with the nutritional status of children. The study showed that underweight was a serious problem in Miesso district with the prevalence of severe underweight as 24.0% and those of mild underweight as 26.7%. The predictors significantly related to the child nutritional status were sex, age, household’s food security status and the toilet using status of family, since the child malnutrition in the district was very highly prevalent continuous nutrition supervision and special attention to severely malnourished children is necessary to overcome malnutrition problem.

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References

Abebe, Z., Haki, G.D. and Baye, K. 2016. Health extension worker’s knowledge and knowledge sharing effectiveness of optimal infant and young child feeding are associated with mother’s knowledge and child stunting in rural Ethiopia. Food and Nutrition Bulletin, 37(3): 353-363. Adane, M., Mengistie, B., Medhin, G., Kloos, H. and Mulat, W. 2017. Piped water supply

interruptions and acute diarrhea among under-five children in Addis Ababa slums, Ethiopia: A matched case-control study. PLoS ONE, 12(7): e0181516 [https://doi.org/10.1371/journal. pone.0181516].

Adelo, B. and Temesgen, S. 2015. Undernutritional status of children in Ethiopia: Application of partial proportional odds model. Turkiye Klinikleri Journal of Biostatistics, 7(2):77-89. Agresti, A. 1996. An Introduction to Categorical Data Analysis. John Wiley, New Jersey, USA.

Factor associated with underweight status of children 85

Alemayehu, M., Tinsae, F., Haileslassie, K., Seid, O., Gebregziabher, G. and Yebyo, H. 2015. Undernutrition status and associated factors in under-5 children, in Tigray, Northern Ethiopia. Nutrition, 31(7-8): 964-970.

Awel, A.A., Lema, T.B. and Hebo, H.J. 2016. Nutritional status and associated factors among primary school adolescents of pastoral and agro-pastoral communities, Mieso Woreda, Somali region, Ethiopia: A comparative cross-sectional study. Journal of Public Health and Epidemiology, 8(11): 297-310.

Brant, R. 1990. Assessing proportionality in the proportional odds model for ordinal logistic regression. Biometrics, 1: 1171-1178.

CSA and ICF. 2017. Ethiopia Demographic and Health Survey 2016. Central Statistical Agency, Addis Ababa, Ethiopia/ICF, Rockville, Maryland, USA.

CSA. 2013. Population Projection of Ethiopia for All Regions at Wereda Level from 2014-2017. Central Statistical Agency, Addis Ababa, Ethiopia.

Daniel, W. 1999. Biostatistics: A Foundation for Analysis in the Health Sciences (7th edn.). Wiley, New York, USA.

Das, S. and Rahman, R.M. 2011. Application of ordinal logistic regression analysis in determining risk factors of child malnutrition in Bangladesh. Nutrition Journal, 10(1): 1-3. De, P. and Chattopadhyay, N. 2019. Effects of malnutrition on child development: Evidence from a backward district of India. Clinical Epidemiology and Global Health, 7: 439-445. Demissie, S. and Worku, A. 2013. Magnitude and factors associated with malnutrition in children 6-59 months of age in pastoral community of Dollo Ado district, Somali region, Ethiopia. Science Journal Public Health, 1(4): 175-183.

FAO, IFAD and WFP, 2015. The state of food insecurity in the world: meeting the 2015 international hunger targets: taking stock of uneven progress. Rome: FAO, 2015. Advanced Nutrition; 6(5): 623-4.

FAO, IFAD, UNICEF, WFP and WHO, 2018. The State of Food Security and Nutrition in the World 2018: Building Climate Resilience for Food Security and Nutrition. Food & Agriculture Organization, Rome, Italy.

Hardin, J. and Hilbe, J. 2007. Generalized Linear Models and Extensions. A Stata Press Publication, Texas, USA.

Hussein, F.M., Ahmed, A.Y. and Muhammed, O.S. 2018. Household food insecurity access scale and dietary diversity score as a proxy indicator of nutritional status among people living with HIV/AIDS, Bahir Dar, Ethiopia, 2017. PLoS One, 13(6): e0199511 [doi: 10.1371/journal.pone.0199511].

Kahsay, A., Mulugeta, A. and Seid, O. 2015. Nutritional status of children (6-59 months) from food secure and food insecure households in rural communities of Saesie Tsaeda-Emba district, Tigray, North Ethiopia: Comparative study. International Journal of Nutrition and Food Science, 4: 51-66. [doi: 10.11648/j.ijnfs.20150401.18].

Kalu, R.E. and Etim, K.D. 2018. Factors associated with malnutrition among under five children in developing countries: A review. Global Journal of Pure and Applied Sciences, 24(1): 69-74. Lall, R. 2004. The Application of Ordinal Regression Models in Quality of Life Scales used in Gerontology. Doctoral Dissertation, University of Sheffield, South Yorkshire, England. Liu, X., O'Connell, A.A. and Koirala, H. 2011. Ordinal regression analysis: Predicting mathematics proficiency using the continuation ratio model. Journal of Modern Applied Statistical Methods. 10(2): 513-527. [doi: 10.22237/jmasm/1320120600].

Long, J. 2014. Regression models for nominal and ordinal outcomes. pp. 173-204 In: The SAGE Handbook of Regression Analysis and Causal Inference (eds. H. Best and C. Wolf), SAGE Publ. Ltd., London, England. [https://dx.doi.org/10.4135/9781446288146].

Maru, M.T. 2017. Causes, Dynamics and Consequences of Internal Displacement in Ethiopia. Working Paper. Stiftung Wissenschaft and Politik German Institute for International and Security Affairs, Berlin, Germany.

Fuad Redi Abdella et al.

Mason, J. and Shrimpton, R. 2010. Progress in Nutrition: 6th Report on the World Nutrition Situation. United Nations Standing Committee on Nutrition, Geneva, Switzerland. Mohamed, A.A. 2018. Assessment of conflict dynamics in Somali national regional state of Ethiopia. Journal of Public Policy Administration, 2(4): 40-48.

Nkunzimana, T., Custodio, E., Thomas, A.C., Tefera, N., Perez, H.A. and Kayitakire, F. 2016. Global Analysis of Food and Nutrition Security Situation in Food Crisis Hotspots. Report Prepared in Collaboration with the FAO and the WFP. European Commission, Brussels, Belgium [https://dx.doi.org/10.2788/669159].

Redi, F., Egata, G. and Kedir A. 2017. Prevalence of malnutrition among children aged 6-59 months in Haramaya district, Oromia, Ethiopia. Journal of Biometrics and Biostatistics, 8(4): 357-360.

Serbesa, M.L., Iffa, M.T. and Geleto, M. 2019. Factors associated with malnutrition among pregnant women and lactating mothers in Miesso Health Center, Ethiopia. European Journal of Midwifery, 3: 13-17. [https://doi.org/10.18332/ejm/110131].

Stark, J., Terasawa, K. and Ejigu, M. 2011. Climate change and conflict in pastoralist regions of Ethiopia: Mounting challenges, emerging responses. Conflict Management and Mitigation (CMM) Discussion Paper 4. United States Agency for International Development. Washington, USA.

Syahrul, S., Kimura, R., Tsuda, A., Susanto, T., Saito, R. and Ahmad, F. 2016. Prevalence of under weight and overweight among school-aged children and its association with children's socio demographic and lifestyle in Indonesia. International Journal of Nurse Science, 3: 169-177.

Tamiru, S., Kindie Tesfaye, K. and Mamo, G. 2015. Analysis of rainfall and temperature variability to guide sorghum (Sorghum bicolar) production in Miesso areas, Eastern Ethiopia. International Journal of Sustainable Agricultural Research, 2(1): 1-11.

Tosheno, D., Adinew, Y.M., Thangavel, T. and Workie, S.B. 2017. Risk factors of underweight in children aged 6–59 months in Ethiopia. Journal of Nutrition and Metabolism, 2017. [https://doi.org/10.1155/2017/6368746].

UNICEF. 2019. The State of the World’s Children 2019. Children, Food and Nutrition: Growing Well in a Changing World. UNICEF, New York, USA.

USDA. 2012. Household Food Security Survey Module: Three-Stage Design, with Screeners. Economic Research Service. USDA, Washington, USA.

WFP and CDC. 2005. A Manual, Measuring and Interpreting Malnutrition and Mortality. A Joint Collaboration Between the World Food Programme (WFP) and the Centers for Disease Control and Prevention (CDC). World Food Programme, Rome, Italy.

WHO and UNICEF. 2009. WHO Child Growth Standards and the Identification of Severe Acute Malnutrition in Infants and Children. World Health Organization, Geneva, Switzerland. WHO, 2006. WHO Child Growth Standards: Length/Height-for-Age, Weight-for-Age, Weight-for Length, Weight-for-Height and Body Mass Index-for-Age: Methods and Development. World Health Organization, Geneva, Switzerland.

WHO, 2013. Global Nutrition Policy Review: What Does it Take to Scale up Nutrition Action. World Health Organization, Geneva, Switzerland.

Williams, R. 2006. Generalized ordered logit/partial proportional odds models for ordinal dependent variables. Stata Journals; 6: 58-82.

Williams, R.A. and Quiroz, C. 2020. Ordinal regression models. SAGE Pub., London, England. Zelalem, B. 2014. Risk Factors for Anaemia Levels among Women of Reproductive Age in Ethiopia: A Partial Proportional Odds Model Approach. Doctoral Dissertation, Addis Ababa University, Addis Ababa, Ethiopia.