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The Prediction Model for Low Birth Weight in Batang District, Central Java, Indonesia

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Background: In Indonesia, the prevalence of low birth weight, was high (10.7%). Batang District had the highest low birth weight prevalence in Central Java. Maternal and environmental factors are the strongest factors, therefore these risk factors were investigated, and prediction model for birth weight was designed. Method: This case-control study was done on 163 low birth weight (<2500 g) as cases and 163 normal weight (≥2500 g) babies and their mothers as controls. The cases were all of the singleton birth low birth weight babies aged <6 months in Batang District. The controls were normal birth weight and matched for gender, age and village. Data were collected by interviews and review of maternal and child health handbooks. The risk factors which were investigated including mother’s characteristics, nutritional status, health condition, behavioral factor, environmental factor, and health service factor. Among the most important risk factors, the multiple linear regressions were run to find the best prediction model. Results: The significant risk factors of birth weight were anemia (OR = 2.85), lack of ante natal visits (OR = 2.24), hypertension (OR = 2.09), maternal age <20 years or ≥35 years (OR = 2.07), disease/maternal disorders during pregnancy (OR = 1.85), abortion history (OR = 1.82), Low MUAC (OR = 1.58) and low protein intake (OR = 1.50). The best predictors were hemoglobin levels, the completeness of ante natal visits, MUAC and mother’s age at pregnancy. Conclusion: The most important factors which can predict the birth weight of the babies are maternal age, hemoglobin levels, ANC frequency and Mid Upper Arm Circumference.
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Keywords: Anemia; Antenatal Visit; Low Birth Weight; Mid-Upper Arm Circumference (MUAC)

Document Type: Research Article

Affiliations: 1: Public Health Nutrition Department, Faculty of Public Health, Diponegoro University, 50275, Indonesia 2: Biostatistics and Population Study Department, Faculty of Public Health, Diponegoro University, 50275, Indonesia 3: Health Education and Behavioral Science Department, Faculty of Public Health, Diponegoro University, 50275, Indonesia 4: Master’s Program in Health Promotion, Faculty of Public Health, Diponegoro University, 50275, Indonesia

Publication date: April 1, 2017

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