The Correlation Between Low Birthweight (LBW) with Infant Mortality Rates (Imr) and Antenatal Care (Anc) in East Java 2018 (original) (raw)
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Determinants of Low Birth Weight Babies (LBW) in the Bolo Health Center, Bima Regency, Indonesia
2019
Low birth weight babies (LBW) are still the main cause of perinatal death. At worldwide, the prevalence of LBW is estimated at 15%, and Indonesia has a low birth weight prevalence of 10.2%. LBW is the main cause of infant mortality in Bima Regency, at 43.75%. This study aims to determine the relationship and describe the determinants of infants’ LBW. This research was conducted at Bolo Health Center, Bolo Subdistrict, Bima Regency in March and April 2018. The research method is quantitative research combined with qualitative research, and case control was used as the research design. The total population was 909 people, and the sample comprised 180 people. The sampling technique was simple random sampling. Data analysis techniques consisted of univariate analysis, a chisquare test, and a simple logistic regression test. The qualitative data analysis techniques were in-depth interviews and FGD (focus group discussion). The results of the study were that there was a significant relati...
Correlation Between Ante Natal Care and Low Birth Weight in Indonesia
Advances in Social Science, Education and Humanities Research, 2021
This research was conducted to see whether there is a correlation between ante natal care and low birth weight. The study was conducted on secondary data using a cross sectional design. The results of the study show that: 1. Respondents who gave birth to infants with a status not below 2500 grams 24,585 babies (94.2%) and those who gave birth with LBW status were 1527 infants (5.8%). Respondents who visited ANC were compliant with 23,013 mothers (88.1%), while respondents who did ANC were not complied with 3,099 mothers (11.9%). It can be concluded that the difference in pregnant women who do not perform ANC at least 4 meetings has a LBW percentage greater than 1%. 2. There is a significant and unidirectional relationship between the compliance of ANC visits of pregnant women with LBW events in Indonesia from the 2013 RISKESDAS data.
Multilevel Analysis on the Factors Associated with Low Birth Weight in Temanggung, Central Java
Journal of Maternal and Child Health, 2016
Background: Infants with low birth weight or LBW is one of the risk factors for infant mortality. Complications LBW actually can be prevented and dealt with, but is constrained by access to health care, socioeconomic circumstances, a referral system that has not gone well, delays in early detection and awareness of parents to seek medical help. By looking at the number of deaths caused by LBW remains high, and research on the causes of LBW widely used partial analysis, and have not been analyzed in stages, the researchers conducted this research with multilevel analysis. Subjects and Method: This was an observational studt with case control design. A total sample of 120 infants were selected by fixed disease sampling with a ratio of 1: 2 between cases and controls. Data were analyzed using multiple logistic regression. Results: There are three variables at the individual level were significantly associated with LBW and was statistically significant can among others, mother's education (OR= 0.19; 95% CI= 0:07 to 0.53; p= 0.001), history of ANC t (OR= 7.76; 95% CI= 2.18 to 27.62; p= 0.002) and the nutritional mother status (OR= 5.61; 95% CI= 0.21 to 0.79; p= 0.008) and the variables that are not statistically significant is the mother's age and family income, and there are no contextual role within house with wellness facilities with LBW expressed by ICC < 0.001. Conclusion: The influence of maternal education, a history of the ANC examination and nutritional status of mothers with LBW and there is no contextual role of distance between home and health care facilities with LBW. This study suggests to health professional to improve the coverage of the ANC.
Open Access Macedonian Journal of Medical Sciences
Objective: This study aims to identify the determinants of Low Birth Weight (LBW) in Bahteramas General Hospital, Southeast Sulawesi Province, Indonesia. Method: This research uses an institutional-based Case-Control Study design from May to June 2021 at the Bahteramas Hospital, Southeast Sulawesi Province. Data were collected from 134 samples of mothers giving birth, with 67 of them having babies with birth weight <2500 g (cases) and 67 of them having birth weights >2500 g (controls) using secondary data, namely medical records. Data were analyzed by univariate, bivariate with odds ratio test, and multivariate analysis with multiple logistic regression to identify the determinants of LBW.. Result: Based on the logistic regression analysis, it found that the mother's educational status variable was ≤12 years [AOR 0.19 (95% CI 0.06-0.62)]; mothers with parity one or >3 [AOR 0.06 (95% CI 0.01-0.21)]; birth spacing <2 years [AOR 4.49 (95% CI 1.37-14.74)], mothers who ha...
Determinants of Low Birth Weight in Indonesia
Jurnal Kesehatan Masyarakat
Low birth weight (LBW) is one of the main factors influencing the development of chronic disease in adulthood in surviving or surviving infants. This study aims to determine the determinants of the incidence of LBW in toddlers (infants aged 0-5 years) in Indonesia. This study uses a data set from the 2017 Indonesian Demographic and Health Survey (IDHS). The dependent variable is the child’s LBW status, while the independent variable consists of 3 variable blocks, namely; distal, intermediate and proximal variables. The number of samples in this study was 14,372 people. Data analysis was done descriptively and inferentially. The results showed that, of the 14,262 samples analyzed, 7% showed LBW. The highest probability of LBW was associated with the type of birth of twins (AOR: 22,087; 95%CI: 18,344-26,194), the order of birth of the 4th child or more (AOR: 2,231; 95%CI: 1,887-2.598), experiencing pregnancy complications (AOR: 1.887; 95% CI: 1.543-2.134), number of ANC visits less th...
Demographic Characteristics of Mother as Predictor of Low Birth Weight in Eastern Indonesia
2021
Eastern Indonesia is a region that is noted to often have a lower public health status than Western Indonesia. This study was aimed to analyze the demographic characteristics of a mother as a predictor of LBW in Eastern Indonesia. The study employed the 2017 Indonesian Demographic Health Survey data. The study population was women aged 15-49 years old who had given birth in the last 5 years in Eastern Indonesia. The analysis involved 6 independent variables, namely type of place of residence, age group, marital status, education level, employment status, and wealth status. The study employed 6,636 respondents. Binary Logistic Regression was used for the final stage. The results inform is getting older, the possibility of women in Eastern Indonesia is getting bigger to have LBW babies. Women with higher education levels are 0.400 times more likely than no education women to have LBW babies (OR 0.400; 95% 0.293-0.545). Category women in wealth poorer have a probability of 0.789 times ...
Factors Affecting Low Birth Weight Incidence at Cipto Mangunkusumo Hospital, Jakarta
Paediatrica Indonesiana
A case-control study was conducted during the period of April-July 1997 to determine factors affecting the incidence of low birth weight infants born at Cipto Mangunkusumo Hospital, Jakarta. Of the 300 singleton infants (150 LBW and 150 non-LBW) studied, five risk factors were determined: (1) maternal education (p = 0,027), (2) maternal weight gain during pregnancy (p < 0,001), (3) interval between regnancy intervals (p = 0,041), (4) history of previous LBW (p = 0,004), and (5) maternal health condition during pregnancy (p < 0,0001). The mean anthropometric measurements of male non-LBW were significantly greater than female non-LBW infants.
Indian Journal of Forensic Medicine & Toxicology, 2021
Low birth weight is classified as one of the children's health problems in Indonesia. Theauthorsconducted a study to analyze the environmental factors associated with Indonesia's low birth weight. Thestudy conducted an ecological analysis using secondary data from the Ministry of Health of the Republic of Indonesia report in 2018. The study takes all provinces in Indonesia as samples.Besidesthe proportion of low birth weight, there were 3 other variables analyzed, the proportion of hypertension in pregnancy, the proportion of birth canal bleeding, and the proportion of amniotic fluid discharge. Data were analyzed using cross-tabulation.The results show that all three variables tend to affect the proportion of low birth weight and the previous studies. The study concluded that the three independent variables analyzed tend to correlate with the proportion of low birth weight in Indonesia.
Factors related to low birth weight in Indonesia
Malaysian Journal of Nutrition
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 educatio...
Low birth weights and risk of neonatal mortality in Indonesia
Health Science Journal of Indonesia, 2016
Latar Belakang: Angka kematian neonatal di Indonesia mengalami stagnansi sejak sepuluh tahun terakhir. Dalam rangka mengakselerasi penurunan angka kematian neonatal di Indonesia, intervensi spesifik diperlukan pada faktor utama penyebab kematian. Penelitian ini bertujuan untuk mengetahui kontribusi berat badan lahir rendah terhadap kematian neonatal di Indonesia. Metode: Data Survei Demografi dan Kesehatan Indonesia tahun 2012 digunakan untuk analisis. Sejumlah 18021 kelahiran hidup dalam periode lima tahun terakhir telah dilaporkan oleh responden. Terdapat 14837 anak memiliki informasi lengkap untuk analisis. Adjusted relative risk dengan analisis survival digunakan untuk mengukur hubungan antara variable dengan kematian neonatal. Hasil: Anak yang lahir dengan berat badan rendah memiliki risiko 9.89 kali lebih tinggi untuk kematian neonatal bila dibandingkan dengan anak yang lahir dengan berat badan normal [adjusted relative risk (aRR) = 9.89; 95% confidence interval (CI): 7.41-13.19); P = < 0.0001]. Anak yang lahir dari ibu berumur muda (15-19 tahun) memiliki risiko 94% lebih tinggi bila dibandingkan dengan anak yang lahir dari ibu dengan umur antara 20-35 years. Anak dari ibu yang bekerja 81% memiliki risiko kematian neonatal lebih tinggi bila dibandingkan dengan anak yang lahir dari ibu tidak bekerja.