Factors related to low birth weight in Indonesia


Citation

Nikmatur Rohmah, . and Masruroh Masruroh, . and Nur Baharia Marasabesy, . and Nasrun Pakaya, . and Joko Prasetyo, . and Saiful Walid, . and Agung Dwi Laksono, . (2022) Factors related to low birth weight in Indonesia. Malaysian Journal of Nutrition (Malaysia), 28 (2). pp. 253-261. ISSN 1394 – 035X

Abstract

Introduction: Previous studies have reported that low birth weight (LBW) correlates with neonatal death and 15 - 20% of all births worldwide are LBW. This research aimed to analyse the factors related to LBW in Indonesia. Methods: The authors collated secondary data from the 2017 Indonesian Demographic and Health Survey (IDHS). The sample consisted of 17,443 respondents. Besides LBW as the dependent variable, the independent variables consisted of maternal age, residence, wealth, education, employment, marital status, health insurance, antenatal care (ANC) visits, smoking behaviour, and gender of the baby. The final stage employed binary logistic regression. Results: Women aged 35-39 years were 0.688 times less likely than women aged 15-19 years to give birth to LBW babies. The wealthiest women were 0.712 times less likely than the poorest women to give birth to LBW babies. Women with higher education levels were 0.670 times less likely to have a LBW baby than women with no education level. Women who attended ≥4 ANC visits were 0.829 times less likely to have LBW babies than women who attended <4 ANC visits. Baby girls were 1.161 times more likely than baby boys to be born with LBW. Conclusion: The study concluded that the factors related to LBW in Indonesia were maternal age, wealth, education, ANC, and gender of the baby.


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Abstract

Introduction: Previous studies have reported that low birth weight (LBW) correlates with neonatal death and 15 - 20% of all births worldwide are LBW. This research aimed to analyse the factors related to LBW in Indonesia. Methods: The authors collated secondary data from the 2017 Indonesian Demographic and Health Survey (IDHS). The sample consisted of 17,443 respondents. Besides LBW as the dependent variable, the independent variables consisted of maternal age, residence, wealth, education, employment, marital status, health insurance, antenatal care (ANC) visits, smoking behaviour, and gender of the baby. The final stage employed binary logistic regression. Results: Women aged 35-39 years were 0.688 times less likely than women aged 15-19 years to give birth to LBW babies. The wealthiest women were 0.712 times less likely than the poorest women to give birth to LBW babies. Women with higher education levels were 0.670 times less likely to have a LBW baby than women with no education level. Women who attended ≥4 ANC visits were 0.829 times less likely to have LBW babies than women who attended <4 ANC visits. Baby girls were 1.161 times more likely than baby boys to be born with LBW. Conclusion: The study concluded that the factors related to LBW in Indonesia were maternal age, wealth, education, ANC, and gender of the baby.

Additional Metadata

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Item Type: Article
AGROVOC Term: birth weight
AGROVOC Term: population dynamics
AGROVOC Term: education
AGROVOC Term: wealth
AGROVOC Term: health insurance
AGROVOC Term: employment
AGROVOC Term: marital status
AGROVOC Term: gender
AGROVOC Term: maternity
Geographical Term: Indonesia
Uncontrolled Keywords: antenatal care visit, education level, low birth weight, wealth status, women of reproductive age
Depositing User: Ms. Azariah Hashim
Date Deposited: 19 Mar 2026 02:19
Last Modified: 19 Mar 2026 02:19
URI: http://webagris.upm.edu.my/id/eprint/2865

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