Education as Predictor of Low Birth Weight among Female Worker in Indonesia

Kusrini, Ina; Fuada, Noviati; Supadmi, Sri; Laksono, Agung Dwi

doi:10.37506/mlu.v21i1.2335

Cited by 2 publications

(3 citation statements)

References 19 publications

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“…Research in Brazil showed a significant decrease in LBW neonates born to higher-education mothers, and a slight rise in mothers with poor education was reported [37]. These results align with previous studies in various countries, stating that better mothers' education level was a protective factor for LBW cases [12,19,38].…”

Section: Discussionsupporting

confidence: 87%

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Socioeconomic Disparities in Low Birth Weight in Indonesia’s Rural Areas: A Population-Based Study

Laksono¹,

Wulandari²,

Matahari³

2023

Proceedings of the 1st International Conference for Health Research – BRIN (ICHR 2022)

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Poverty could increase a mother's chances of giving birth to a baby with a low birth weight (LBW). Low-income families have trouble supplying food for all family members, including pregnant women. Insufficient food availability at the household level is not limited to food quantity and includes food quality, and the situation in poor households can last for a long time. The study analyzed socioeconomic disparities in rural Indonesia's yield LBW incidence. The study involved mothers (15-49 years) who have given birth in Indonesia's rural areas. The study analyzed 7,786 mothers who received the task as samples. The variables analyzed were LBW, socioeconomic, age, marital, education, employment, and antenatal care. The study used a binary logistic regression test to determine disparities. The study shows the poorest mothers were 1.500 times more likely than the wealthiest mothers to give LBW infants (AOR 1.500; 95% CI 1.499-1.500). Mothers with a more inferior wealth status were 1.531 times more likely than the most prosperous mothers to give birth to LBW infants (AOR 1.531; 95% CI 1.530-1.531). Mothers with a median wealth status were 1.411 times more likely than the richest mothers to give birth to LBW infants (AOR 1.411; 95% CI 1.410-1.412). Wealthier mothers were 1.211 times more likely than the most affluent mothers to give birth to LBW infants (AOR 1.211;). In addition to the socioeconomic status, all control variables, including age group, marital status, education level, employment status, and antenatal care, were also associated with LBW babies incidence. The study concludes that socioeconomic disparities exist in LBW incidence in Indonesia's rural areas.

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Section: Discussionsupporting

confidence: 87%

“…LBW defines maternal health problems, maternal malnutrition, sporadic access to ANC facilities, and the low socioeconomic status of mothers in general [10]. Several studies have explained that parental, nutrition, educational, medical, environmental, and socio-cultural factors cause LBW [6,11,12].…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic Disparities in Low Birth Weight in Indonesia’s Rural Areas: A Population-Based Study

Laksono¹,

Wulandari²,

Matahari³

2023

Proceedings of the 1st International Conference for Health Research – BRIN (ICHR 2022)

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“…A study in South-east Nigeria informed that the main reasons cited by people who do not want to participate in health insurance mechanisms are a poor understanding of how the health care system works and a lack of a steady source of income [18]. Generally, several previous studies have informed that better education levels are positively related to program performance output in the health sector [28][29][30][31][32]. On the other hand, lower education levels are a barrier to achieving better performance in the health sector [33,34].…”

Section: Discussionmentioning

confidence: 99%

The determinant of health insurance ownership among pregnant women in Indonesia

2021

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Background Health insurance ownership is one indicator of the readiness of pregnant women for the delivery process. The study aimed to analyze the determinants of health insurance ownership among pregnant women in Indonesia. Methods The study population was pregnant women in Indonesia. The study involved 2542 pregnant women in Indonesia. The variables analyzed included type of place of residence, age group, education level, employment status, marital status, parity, wealth status, and know the danger signs of pregnancy. In the final step, the study employed binary logistic regression to explain the relationship between health insurance ownership and predictor variables. Results The results show that pregnant women with higher education were 3.349 times more likely than no education pregnant women to have health insurance. Pregnant women with wealth status in the middle category were 0.679 times the poorest pregnant women to have health insurance. Meanwhile, the richest pregnant women had 1.358 times more chances than the poorest pregnant women to have health insurance. Grande multiparous pregnant women were 1.544 times more likely than primiparous pregnant women to have health insurance. Pregnant women who know the danger signs of pregnancy were 1.416 times more likely than pregnant women who don’t see the danger signs of pregnancy to have health insurance. Conclusions The study concluded that four variables, including education level, wealth status, parity, and knowledge of the danger signs of pregnancy, were significant determinants of health insurance ownership in Indonesia.

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Education as Predictor of Low Birth Weight among Female Worker in Indonesia

Cited by 2 publications

References 19 publications

Socioeconomic Disparities in Low Birth Weight in Indonesia’s Rural Areas: A Population-Based Study

Socioeconomic Disparities in Low Birth Weight in Indonesia’s Rural Areas: A Population-Based Study

The determinant of health insurance ownership among pregnant women in Indonesia

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