An Effective Method to Predict Low Birth Weight in Indonesia Rural Area

Adawiyah, Asyifa Robiatul; Djokosujono, Kusharisupeni; Alam, Nur; Setiawati, Novita Arie

doi:10.7454/ijphn.v2i1.5307

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…The high risk of death and health complications shows the importance of early prevention of LBW births (Huque and Hussain, 1991). ANC is a mandatory program in Indonesia with a minimum of four visits (Adawiyah et al, 2021). The aims include preventing adverse birth outcomes, low birth weight, and detecting pregnant women who are at risk of giving birth to LBW babies by scoring.…”

Section: Discussionmentioning

confidence: 99%

Low-birth-weight scorecard for early prevention: the accuracy for predicting low-birth-weight infants based on maternal risk factor

Utami,

Susilaningrum

2024

J. Ners

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Introduction: Babies with low birth weight (LBW) have a risk of complications and health problems. One of the efforts to prevent LBW births is to detect risk factors in pregnant women. This study aimed to test the accuracy of an early LBW detection scorecard based on maternal risk factors. Methods: The research design used was observational analytical. The sample in this study was 177 mothers who were registered and delivered at hospitals and public health centers in Surabaya and were selected using a purposive sampling method. The research instruments used were LBW scorecard, maternal medical records, and baby’s scale. The accuracy of the scorecard was measured with Mann-Whitney test, and Receiver Operating Characteristic (ROC) curve. Results: The LBW scorecard which was based on maternal factors analysis can significantly predict LBW births (p = 0.000). Based on the ROC curve analysis, it was known that the early detection scorecard has a cut-off point of 3.5, and an accuracy of 88.70%, which indicated that the scorecard has high accuracy in predicting LBW. Conclusions: The LBW early detection scorecards is able accurately to predict the incidence of LBW births. Through analysis and calculation of maternal risk factor, it can be seen whether the mother is at risk of giving birth to a LBW or normal weight baby. Early detection of LBW can improve services for at-risk babies, resulting in a positive impact on their health outcomes.

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Section: Discussionmentioning

confidence: 99%

Low-birth-weight scorecard for early prevention: the accuracy for predicting low-birth-weight infants based on maternal risk factor

Utami,

Susilaningrum

2024

J. Ners

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“…This occurrence of low birth weight is accountable for 60-80% of global wide neonatal loss of life. Although In Indonesia the superiority of LBW is taken into consideration low, it's miles gradually growing ought to be taken into consideration: in 2007 5.4%; 5.7% in 2013, to 6.2 % in 2018 [4].…”

Section: Introductionmentioning

confidence: 99%

Risk Factors of Low-Birth-Weight Baby in Indonesia

Abdullah¹

2023

International Journal of Scientific Advances

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Introduction: LBW (Low Birth Weight) gets more intentions from many governments over the world because it is one of significant factors that may increase under-five mortality and infant mortality. The global prevalence of low birth weight (LBW) is still high (15.5%) where most of them (96.5%) are living in developing countries. Although In Indonesia the prevalence of LBW is considered low, it is steadily increasing should be considered: in 2007 5.4%; 5.7% in 2013, to 6.2 % in 2018. In 2020, the most common cause of neonatal death is low birth weight (LBW). BBLR in East Java reached 3.7%. Objection: To know the risk factors of LBW prevalence based on maternal age, number of pregnancy, gender, gestational age, fetal presentation, mode of delivery, SPE, PROM, and anemia in PKU Muhammadiyah Mojoagung public hospital, East Java. Method: This study is an retrospective cross-sectional study design study in PKU Muhammadiyah Mojoagung public hospital during Desember 2021 till November 2022. Purposive sampling method used to obtain the samples from medical records that fit to inclusion and exclusion criteria (n=100). Data was analyzed with SPSS statistics used chi-square, fisher, kruskal wallis, and logistic regression analytic method. Result: A total of 100 newborn were included during study period. The regression test showed significant result at maternal age <20/>35 years (p=0,000, OR 25.726, 95%CI 4.746-139.456) and anemia (p=0,002, OR 13.355, 95%CI 2.581-69.088) with LBW prevalence. Conclusion: maternal age and anemia risk factors that significant lead to LBW prevalence in PKU Muhammadiyah Mojoagung public hospital, East Java.

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Potential Maternal Risk Factors for Low Birth Weight in Indonesia: A Systematic Review

Nurwati,

Hardinsyah,

Marliyati

et al. 2023

J Gizi Pangan

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This review was conducted with the aim of summarizing the articles on the potential maternal risk factors for Low Birth Weight (LBW) in Indonesia. All observational studies conducted in Indonesia between 2010 and 2022 were thoroughly reviewed in this study. The articles were retrieved from "PubMed", "ScienceDirect", "Web of Science", and "Garuda". The retrieval was supplemented by snowball sampling technique. This review was constructed according to the PRISMA guidelines and the quality of the articles was assessed according to the STROBE guidelines. Of the 129 articles, only 12 articles met the inclusion criteria. Maternal variables such as education (50%), household wealth (33.3%), nutritional status (33.3%), age (25%), pregnancy complications (25%), marital age (16.7%), gestational weight gain (16.7%), ANC visit (16.7%), weight at third trimester (16.7%), twin birth (16.7%), birth interval (16.7%), iron supplementation (8.3%), parity (8.3%), and anemia status (8.3%) were found to be the risk factors for LBW incidence. This review found that almost all potential maternal risk factors contributing to LBW are preventable. It may help policy makers to design a more effective LBW prevention intervention and early risk identification for pregnant women. Appropriate follow-up by health workers for clinical intervention will also help to improve their pregnancy outcomes.

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An Effective Method to Predict Low Birth Weight in Indonesia Rural Area

Cited by 3 publications

References 3 publications

Low-birth-weight scorecard for early prevention: the accuracy for predicting low-birth-weight infants based on maternal risk factor

Low-birth-weight scorecard for early prevention: the accuracy for predicting low-birth-weight infants based on maternal risk factor

Risk Factors of Low-Birth-Weight Baby in Indonesia

Potential Maternal Risk Factors for Low Birth Weight in Indonesia: A Systematic Review

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