Gross domestic product and geographic area as social determinants of child stunting and severe stunting in Indonesia: A multilevel analysis

Tri Siswati; Lukman Waris; Bunga Astria Paramashanti; Hari Kusnanto; Joko Susilo

doi:10.21927/ijnd.2022.10(3).87-99

Gross domestic product and geographic area as social determinants of child stunting and severe stunting in Indonesia: A multilevel analysis

Tri Siswati, Lukman Waris, Bunga Astria Paramashanti, Hari Kusnanto, Joko Susilo

Abstract

Background: In Indonesia, socioeconomic disparities in childhood stunting is vast.

Objectives: This study aimed to analyze the social determinants of stunting and severe stunting children in Indonesia.

Methods: We analyzed data from cross-sectional surveys of Indonesia’s National Basic Health Research in 2013, the Central Bureau of Statistics, and the Ministry of Finance. Our samples were 3953 children aged 6-23 months and 10215 children aged 24-59 months. Dependent variables were the prevalence of child stunting and severe stunting. Independent variables covered factors at the social level while controlling structural and biological level-factors. Data were analyzed using multilevel analysis using generalized linear mixed models (GLMM).

Results: Gross domestic product was associated with the reduced risk of stunting among children aged 6-23 months (ARRR= 0.99; 95%CI: 0.98-1.00) and 24-59 months (ARRR= 0.99; 95%CI: 0.97-0.99) as well as with the decreased risk of severe stunting among 6-23 months (ARRR= 0.99; 95%CI: 0.98-1.00) and 24-59 months (ARRR= 0.99; 95%CI: 0.97-0.99) old children. Tax ratio was a significant factor only for the severe stunting among 24-59 months old children (ARRR= 0.98; 95%CI: 0.96-0.99). There was also a geographical difference related to stunting and severe stunting.

Conclusions: Equitable economic growth is an essential factor to improve the health and welfare of stunting and severe stunting children across the geographical setting in Indonesia.

Keywords

Stunting; Gross Domestic Product; Geographic Area; Social Determinants; Multilevel Analysis

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DOI: http://dx.doi.org/10.21927/ijnd.2022.10(3).87-99