Association between Child Nutritional Anthropometric Indices and Iron Deficiencies among Children Aged 6–59 Months in Nepal

Author:

Agho Kingsley Emwinyore12ORCID,Chitekwe Stanley3,Rijal Sanjay4,Paudyal Naveen4,Sahani Sanjeev Kumar4,Akombi-Inyang Blessing Jaka5ORCID

Affiliation:

1. School of Health Sciences, Western Sydney University, Campbelltown, NSW 2560, Australia

2. Faculty of Health Sciences, University of Johannesburg, Johannesburg 2094, South Africa

3. Nutrition Section, United Nations Children’s Fund (UNICEF) Ethiopia, Addis Ababa 1169, Ethiopia

4. United Nations Children’s Fund (UNICEF), Nepal Country Office P.O. Box 1187, United Nations (UN) House, Pulchowk, Kathmandu P.O. Box 107, Nepal

5. School of Population Health, University of New South Wales (UNSW), Sydney, NSW 2052, Australia

Abstract

Developmental impairment remains an important public health problem among children in many developing countries, including Nepal. Iron deficiency in children may affect development and lead to anaemia. This study on 1702 children aged 6–59 months aimed to assess the association between nutritional anthropometric indices and iron deficiencies. Data for this study were extracted from the 2016 Nepal National Micronutrient Status Survey. Three nutritional anthropometric indices (stunting, wasting and underweight) and their association with anaemia and iron deficiencies (ferritin and sTfR biomarkers) were assessed by conducting multivariate statistical analyses. The prevalence of stunting, wasting and underweight among children aged 6–59 months was 35.6%, 11.7% and 29.0%, respectively. Most of the children were not stunted (64.4%), not wasted (71.0%) and not underweight (88.3%). Belonging to castes other than the Janajati, Dalit and Brahmin castes increased the odds of anaemia and iron deficiency (ferritin biomarker). Children in the age group 6–23 months were significantly at higher odds of having anaemia and iron deficiency (ferritin and sTfR biomarkers). Stunting significantly increased the odds of anaemia [adjusted odds ratio (OR): 1.55; 95% confidence interval (CI): (1.11, 2.17)], iron deficiency (ferritin biomarker [OR: 1.56; 95% CI: (1.16, 2.08)] and sTfR biomarker [OR: 1.60; 95% CI: (1.18, 2.15)]). Further, underweight significantly increased the odds of anaemia [OR: 1.69; 95% CI: (1.12, 2.54)] and iron deficiency (sTfR biomarker [OR: 1.48; 95% CI: (1.14, 1.93)]). Interventions to minimise the occurrence of anaemia and iron deficiencies among children in Nepal should focus on providing appropriate healthcare services that would reduce the burden of stunting and underweight.

Publisher

MDPI AG

Reference47 articles.

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3. World Health Organisation (2018, September 09). Iron Deficiency Anaemia: Assessment, Prevention, and Control. Available online: http://apps.who.int/iris/bitstream/10665/66914/1/WHO_NHD_01.3.pdf?ua=1.

4. Anaemias, W.N. (2017). Tools for Effective Prevention and Control, World Health Organization.

5. Predictors of anemia in preschool children: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project;Aaron;Am. J. Clin. Nutr.,2017

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