HUBUNGAN KEHAMILAN TIDAK DIINGINKAN DENGAN KEJADIAN STUNTING PADA ANAK USIA 0-5 TAHUN DI INDONESIA (ANALISIS DATA RISKESDAS 2013)

Annisa Lidra Maribeth; Naima Lassie; Yuni Handayani Gusmira

doi:10.59003/nhj.v2i3.991

Authors

Annisa Lidra Maribeth Universitas Baiturrahmah
Naima Lassie Universitas Baiturrahmah
Yuni Handayani Gusmira Universitas Baiturrahmah

DOI:

https://doi.org/10.59003/nhj.v2i3.991

Keywords:

Unintended Pregnancy, Unwanted Pregnancy, stunting, children under 5 years old, Indonesia

Abstract

Indonesia has become 5^thtop country with biggest stunting rate in the world. Unintended pregnancies can be one of the factors that may play a major role in causing the incidence of stunting in children aged 0-5 years. This study aims to analyze the relationship of unintended pregnancies with incidence of stunting in children aged 0-5 years. This quantitative research used secondary data from National Health Research (Riskesdas) with cross sectional research methods. This research covered all provinces and districts / cities in Indonesia which were carried out from preparation to further analysis in January 2012 - December 2014 and the secondary data was processed in 2019. The sample of this study was women aged 15-49 years old with children 0-5 years old in Indonesia which amount to 42,684 people. Results: In bivariate analysis using chi-square test, it was found that the relationship of unintended pregnancies with stunting have a p value of 0.04 (OR: 1.059 and 95% CI: 1.003-1.118). In multivariate test using logistic regression tests, the relationship of unintended pregnancies became insignificant to stunting with p-value 0, 077 (OR: 1.051; 95% CI: 0.995-1,110). There are two confounding variabels, economic status and education related significantly to stunting with p value <0.001. Conclusion: in multivariate analysis there was no relathionship of unintended pregnancy with stunting in children under five years old ( p value> 0.05). There is confounding in this study, the educational variable and economic status are confounding variable. Education and economic status have a significant relationship on multivariate analysis (p value< 0.001) with stunting.

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