Background: Globally it was estimated approximately 156 millions (23%) children are stunted. The prevalence of stunting in children is 29% in Indonesia, which is the highest rate in South East-Asian countries. Stunting may cause delayed mental development and low intellectual capacity. This study aimed to investigate the effect of dietary intake and social economic factors on the risk of stunting in primary school children in Surakarta, Central Java. Subjects and Method:This was an analytic observational study using cross-sectional design. The study was conducted in Surakarta, Central Java, from February to March 2017. A sample of 145 primary school children was selected for this study by multi-stage random sampling. The independent variables were energy intake, protein intake, maternal education, maternal employment status, and family income. The dependent variable was stunting. The data were collected by a set of questionnaire and antropometry. The data were analyzed by path analysis. Results: Stunting was affected by energy intake (b= 0.02; SE<0.01; p<0.001), protein intake (b= 0.02; SE= 0.01; p<0.001), maternal education (b= 0.23; SE= 0.18; p= 0.187), family income (b= 0.01; SE= 0.01; p= 0.051). Energy intake was affected by maternal education (b=9.56; SE=32.55; p=0.770), and family income (b=1.81; SE=0.91; p=0.005). Protein intake was affected by maternal education (b=1.75; SE=2.67; p=0.051), maternal employment status (b=-2.30; SE=2.36; p=0.330), and family income (b=0.12; SE=0.08; p=0.110).
Background: It is estimated there are 156 million of children or as much as (23%) all over the world who endure stunting. Stunting prevalence in Indonesia reaches 29%, the figure is the highest among South East Asia countries. Whereas stunting can cause the escalating mortality and morbidity rate on children, delayed mental development, and reduced intellectual capacity. The study aimed to elaborate the effect of nutrient intake and socioeconomic factor toward stunting incidence among primary school students. Subjects and Method:The study used analytic observational study with cross sectional design. The location of the study was in the city of Surakarta in February up to March 2017. There was a total of 145 subjects of the study. The sampling technique used was multi stage random sampling. Independent variables of the study were protein intake, energy intake, maternal education, maternal occupational status and family income. Dependent variable was stunting. The study used questionnaires and body height measurement for data collection. The data processing used was path analysis. Results: Statistical result showed that Stunting Incidence was affected by energy intake (b=0.02,p<0.001), protein intake (b=0.02; p<0.001), maternal education (b=0.23; p=0.187), family income (b=0.01; p=0.051). Energy intake was affected by maternal education (b=9.56; p=0.77) and family income (b=1.81; p=0.0.05). Protein intake was affected by maternal education (b=1.75; p=0.051), maternal occupational status (b=-2.30; p=0.33) and family income (b=0.12; p=0.11). Conclusion: Height per age was affected by energy intake, protein intake, maternal education and family income. Energy intake was affected by maternal education and family income. Protein intake was affected by maternal education, maternal occupational status, and family income.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.