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Impact of financial assistance on stunting: Syrian refugee children under 5 in Türkiye

Published online by Cambridge University Press:  15 February 2024

Meryem Ay Kesgin
Affiliation:
United Nations World Food Programme, Ankara, Turkey
Melike Saraç*
Affiliation:
Department of Social Research Methodology, Institute of Population Studies, Hacettepe University, Ankara, Turkey
Nils Grede
Affiliation:
United Nations World Food Programme, Ankara, Turkey
Alanur Çavlin Bircan
Affiliation:
Department of Demography, Institute of Population Studies, Hacettepe University, Ankara, Turkey
İsmet Koç
Affiliation:
Department of Demography, Institute of Population Studies, Hacettepe University, Ankara, Turkey
*
Corresponding author: Melike Saraç; Email: melikesarac@hacettepe.edu.tr
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Abstract

Despite the global decrease over the last two decades, stunting, also called ‘chronic malnutrition’, remains a public health issue affecting almost 150 million children under the age of 5 years globally. Defined by height-for-age, stunting is the consequence of poor nutrition, repeated infection, and inadequate psychosocial stimulation. Programmes and policies target undernutrition globally, and humanitarian and development actors invest great efforts to prevent stunting. This study uses multivariate analysis to examine the impact of financial assistance on the reduction of stunting in a refugee context, focusing on Syrian refugee children under the age of 5 years in Türkiye. Using a unique dataset, the 2018 Turkey Demographic and Health Survey Syrian Migrant Sample (2018 TDHS-SR), the findings indicate that financial assistance significantly reduces the incidence of stunting among refugee children under the control of economic, mother and children, environmental, health-related and nutritional and breastfeeding characteristics. However, having household members generate income is found to be another stronger predictor to reduce stunting. The paper also argues that the nutritional well-being of refugee children might improve if forced migration occurs towards a stable host country/region. In addition, adaptation over time also seems to have a positive influence.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Table 1. Variables Used in Descriptive and Multivariate Analyses

Figure 1

Table 2. Logistic Regression Models and Covariates in the Models

Figure 2

Table 3. Percentage of Household Members at Age 12 and Over By Type of Financial Assistance, Number of Household Members Receiving Financial Assistance, and Number of Household Members Working in a Paid Job, 2018 TDHS-SR

Figure 3

Table 4. Percentage of Children Under Age 5 Classified as Malnourished According to Height-For-Age (Stunting) by Number of Household Members Receiving Financial Assistance, Number of Household Members Working in a Paid Job, Relative Financial Situation of Households, and Length of Stay, 2018 TDHS-SR

Figure 4

Table 5. Percentage of Children Under Age 5 Classified as Malnourished According to Height-For-Age (stunting) by Mother and Children Characteristics, 2018 TDHS-SR

Figure 5

Table 6. Percentage of Children Under Age 5 Classified as Malnourished According to Height-For-Age (Stunting) by Environmental, Healthcare and Nutritional and Breastfeeding Characteristics, 2018 TDHS-SR

Figure 6

Table 7. Logistic Regression Models for the Risk of Stunting Among Children Under Age 5