American Journal of Food and Nutrition
ISSN (Print): 2374-1155 ISSN (Online): 2374-1163 Website: http://www.sciepub.com/journal/ajfn Editor-in-chief: Mihalis Panagiotidis
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American Journal of Food and Nutrition. 2018, 6(2), 37-45
DOI: 10.12691/ajfn-6-2-2
Open AccessArticle

Food Consumption Pattern and Its Impact on the Nutritional Status of 6-59 months' Children in Sana'a Governorate, Yemen

Muhammed A.K. Al-Mansoob1, and Muhammed S.A. Masood2

1Mathematics Department, Faculty of Science, Sana’a University, P.O. Box 12092, Yemen

2Mathematics Department, Faculty of Education and Language, Amran University, Yemen

Pub. Date: April 17, 2018

Cite this paper:
Muhammed A.K. Al-Mansoob and Muhammed S.A. Masood. Food Consumption Pattern and Its Impact on the Nutritional Status of 6-59 months' Children in Sana'a Governorate, Yemen. American Journal of Food and Nutrition. 2018; 6(2):37-45. doi: 10.12691/ajfn-6-2-2

Abstract

The objective of this research is to study into what extent can food consumption pattern affects the nutritional status of children less than 5 years in Sana'a Governorate, Yemen in connection with some socio-economic factors. The investigation data was extracted from a comprehensive survey done by UNICEF, Yemen during 2016. The survey was a cross-sectional with a representative sample of children 5-59 months. The survey was conducted in the two ecological zones of Sana'a Governorate the temperate (TZ) and the dry (DZ) zones. The total number of children attained were 525 and 580 in TZ and DZ respectively. The anthropometric measures of children were taken and all the global nutrition indices (z-scores) were generated and compared with WHO Growth Standards. The food consumption pattern of household was recorded and the food consumption scores (FCS) were produced for each household. Data on some other socio-economic factors were also collected. The prevalence rates of BMIZ, MUACZ, WHZ, WAZ and HAZ are 9.1%, 19.1%, 12.9%, 40.0% and 51.3% respectively for the whole governorate. Separate nutrition indices were produced for each zone and children of DZ were found more vulnerable to malnutrition than TZ children. 92.6% of the targeted households were found on the acceptable level of the FCS classification. Using Chi-Square testing has revealed significant associations between children ages, latrine type and zones with most of the nutrition indices but not with the FCS classification. Similar results were noticed when the multivariate logistic regression particularly with children ages and latrine type but another significant association emerged between income quintiles and both HAZ and WAZ nutrition indices with little difference between zones.

Keywords:
food consumption scores malnutrition indicators descriptive statistics Chi-square testing and multivariate logistic regression

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  de Onis, M., Blossner, M. and Borghi, E. “Prevalence and trends of stunting among pre-school children, 1990-2020”, Public Health Nutr, 15. 142-8. 2012.
 
[2]  UNICEF [Internet]. New York [updated 2014; cited 2014 Apr 5]. Available at: http://www.childinfo.org/malnutrition_nutritional_status.php.
 
[3]  Humphries, D.L., Dearden, K.A., Crookston, B.T., Fernald, L.C., Stein, A.D., Woldehanna, T., Penny, M.E. and Behrman, J.R. “Cross-Sectional and Longitudinal Associations between Household Food Security and Child Anthropometry at Ages 5 and 8 Years in Ethiopia, India, Peru, and Vietnam1–3”, J Nutr, 145. 1924-33. 2015.
 
[4]  Ajao, K.O., Ojofeitimi, E.O., Adebayo, A.A., Fatusi, A.O. and Afolabi, O.T. “Influence of Family Size, Household Food Security Status, and Child Care Practices on the Nutritional Status of Under-five Children in Ile-Ife, Nigeria”, African Journal of Reproductive Health, 14 (4).1-23. December 2010.
 
[5]  Begin, F., Frongillo, E.A. Jr, Delisle H. “Caregiver behaviors and resources influence child height-for-age in rural Chad”. J Nutr, 129. 680-6. 1999.
 
[6]  von Grebmer, K., Bernstein, J., Hossain, N., Brown, T., Prasai, N., Yohannes, Y., Patterson, F., Sonntag, A., Zimmermann, S.-M., Towey, O. and Foley, C. 2017 Global Hunger Index: The Inequalities of Hunger. Washington, DC: International Food Policy Research Institute; Bonn: Welthungerhilfe; and Dublin: Concern Worldwide, 2017.
 
[7]  UNDP, Human Development Report 2016, Human Development for Everyone, United Nations Development Programme, One United Nations Plaza, New York, NY 10017, www.undp.org
 
[8]  MoPHP and CSO (Ministry of Public Health and Population and Central of Statistical Organization), Yemen National Health and Demographic Survey (YNHDS) 2013, Preliminary Report, MoPHP and CSO, Sana'a, Yemen. 2014.
 
[9]  Campbell, C.C. “Food insecurity: a nutritional outcome or a predictor variable?”, J Nutr, 121. 408-15. 1991.
 
[10]  Gillespie, S. and Haddad, L. “Attacking the double burden of malnutrition in Asia and the Pacific”, ADB Nutrition and Development Series (4). Manila and Washington DC: Asian Development Bank (ADB) and International Food Policy Research Institute (IFPRI), 2001.
 
[11]  Honfoga, B.G. and van den Boom, G.J. “Food-consumption patterns in central West Africa, 1961 to 2000, and challenges to combating malnutrition”, Food Nutr Bull, 24.167-82. 2003.
 
[12]  Bhattacharya, J., Currie, J. and Haider, S. “Poverty, food insecurity, and nutritional outcomes in children and adults”, Journal of Health Economics, 23. 839-62. 2004.
 
[13]  Health Reform Foundation of Nigeria, Child survival in Nigeria Nigeria health review, 2006, HERFON, 50-8. 2007.
 
[14]  Jones, A.D., Ngure, F.M., Pelto, G. and Young, S.L. “What are we assessing when we measure food security? A compendium and review of current metrics”, Adv Nutr, 4.481-505. 2013.
 
[15]  UNICEF, Nutrition Survey of Sana'a Governorate 2016, Final Report, Ministry of Public Health and Population, Primary Health Care Sector, Family Health General Directorate, Nutrition Department, Yemen. May 2016.
 
[16]  CSO (Central Statistical Organization), Population Projection Based on 2004 Census. Sana'a, Yemen. 2005.
 
[17]  WHO, Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee, WHO Technical Report Series No.854. World Health Organisation, Geneva. 1995.
 
[18]  WHO Multicentre Growth Reference Study Group, WHO Child Growth Standards: Length/height-for-age, Weight-forage, Weight-for-length, Weight-for-height and Body mass index-for-age: Methods and Development, World Health Organization, Geneva. 2006.
 
[19]  WHO, Guideline: Updates on the management of severe acute malnutrition in infants and children, World Health Organization, Geneva. 2013.
 
[20]  AFC, UNICEF, Nutrition Survey using SMART Methodology for Typhoon Haiyan-affected areas of Regions VI, VII and VIII The Philippines, 03 February-14 March 2014.
 
[21]  IPC Global Partners, Integrated Food Security Phase Classification Technical Manual Version 2.0. Evidence and Standards for Better Food Security Decisions, FAO. Rome. 2012.
 
[22]  United Nations, WFP and Food Security Analysis Service. Comprehensive Food Security & Vulnerability Analysis Guidelines, United Nations World Food Programme, Rome, Italy. 2009.
 
[23]  Bickel, G., Nord, M., Prince, C., Hamilton, W. and Cook, J. Guide to Measuring Household Food Security, U.S. Department of Agriculture, Food and Nutrition Service, Alexandria VA. (USDA, Guide) March, 2000. Http://www.fns.usda.gov/fsec/FILES//FSGuild.pdf.
 
[24]  WHO, The humanitarian situation in Yemen in facts and figures, 15 August 2017. https://www.unocha.org/sites/unocha/.../FF_updated_15082017.pdf.
 
[25]  Charmarbagwala, R., Ranger, M., Waddington, H. and White, H. “The determinants of child health and nutrition: A meta-analysis”, Washington, DC: World Bank, 2004.
 
[26]  Singh, P.G.C., Nair, M., Grubesic, R.B. and Connell, F.A. “Factors associated with underweight and stunting among children in rural terai of eastern Nepal”, Asia-Pacific Journal of Public Health, 21. 144-52. 2009.
 
[27]  Kac, G., Schlűssel, M.M., Pérez-Escamilla, R., Velásquez-Melendez, G. and da Silva, A.A.M. “Household Food Insecurity Is Not Associated with BMI for Age or Weight for Height among Brazilian Children Aged 0-60 Months”, PLoS ONE, 7 (9). 2012.
 
[28]  Ali, D., Saha, K.K., Nguyen, P.H., Diressie, M.T., Ruel, M.T., Menon, P. and Rawat, R. “Household food insecurity is associated with higher child undernutrition in Bangladesh, Ethiopia, and Vietnam, but the effect is not mediated by child dietary diversity”, J Nutr, 143. 2015-21. 2013.