Document Type : Original Research Article
Authors
1 Babakan, Kec. Dramaga, Kabupaten Bogor, Jawa Barat 16680
2 Department of Community Nutrition, Faculty of Human Ecology, IPB University, Bogor 16680, West Java, Indonesia
3 Department of Obstetrics and Gynecology, Faculty of Medicine, University of Indonesia, Depok City 16424, West Java, Indonesia
4 Study Program of Statistics, Faculty of Mathematics and Natural Sciences, University of Lambung Mangkurat (ULM), Banjarbaru 70714, South Kalimantan, Indonesia
Abstract
Abstract
Background and Objective: Nowadays, a simple and reliable screening tool to identify the risk of low birth weight (LBW) infant remains limited, particularly in rural areas where advanced technology is not available. Hence, this study has developed a reliable tool to be simply used by midwives and cadres in detecting risk of LBW.
Methods: This study used an analytic quantitative study based on retrospective data of 165 eligible pregnant women collected from a public hospital in Ternate City (2018-2023). Body height, body weight, body mass index (BMI), mid-upper arm circumference (MUAC), nausea and vomiting, gestational age of ANC visit (AV) of the first trimester of pregnancy, as well as marital age, age, occupation, education, parity, and abortion history of pregnant women were used as research variables. Binary logistic regression was applied to develop the model.
Results: Body weight, marital age, education, and AV are statistically significant as screening indicators for detecting the risk of LBW infant with Area Under Curve (AUC) is 79.6%.
Conclusion: Therefore, the model can be developed as a basis for developing a simple and reliable screening tool in the first trimester to detect the risk of LBW infant that can be implemented by midwives and cadres in rural area
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