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Socio-economic differences among low-birthweight infants in Hungary. Results of the Cohort ‘18 –Growing Up in Hungary birth cohort study

Szabó, Laura ; Boros, Julianna Kim, Yongjoo

PloS one, 2023-09, Vol.18 (9), p.e0291117-e0291117 [Periódico revisado por pares]

San Francisco: Public Library of Science

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Título:
Socio-economic differences among low-birthweight infants in Hungary. Results of the Cohort ‘18 –Growing Up in Hungary birth cohort study
Autor: Szabó, Laura ; Boros, Julianna
Kim, Yongjoo
Assuntos: Academic achievement ; Alcohol use ; Babies ; Biology and Life Sciences ; Birth weight ; Birth weight, Low ; Body height ; Childbirth & labor ; Children & youth ; Cohort analysis ; Data collection ; Diabetes ; Education ; Educational aspects ; Educational attainment ; Ethnicity ; Health aspects ; Health risks ; Health visiting ; Hypertension ; Infant mortality ; Longitudinal studies ; Maternal behavior ; Medicine and Health Sciences ; Mental depression ; Meta-analysis ; Mothers ; Parent educational background ; Pediatric research ; People and places ; Pregnancy ; Prenatal care ; Prenatal influences ; Public health ; Quantiles ; Regression analysis ; Risk ; Risk factors ; Risk reduction ; Smoking ; Social aspects ; Social Sciences ; Women ; Womens health
É parte de: PloS one, 2023-09, Vol.18 (9), p.e0291117-e0291117
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Competing Interests: The authors have declared that no competing interests exist.
Descrição: As Hungary had the fifth-highest rate of low-birthweight (LBW) in the EU27 in 2020, LBW still remains a public health problem for the country. Our goal is to examine whether LBW in Hungary is determined by the mothers' educational attainment, adjusted for other maternal characteristics (SES, health behaviour and psychological status during pregnancy) among mothers who gave birth in 2018-2019 in Hungary. Source of data is the first and second wave of the Cohort '18 -Growing Up in Hungary longitudinal birth cohort study (n = 8185). It is based on a nationwide representative sample of pregnant women who gave birth between March 2018 and April 2019. All data were self-reported by mothers. We examined the association between maternal educational attainment and the risk of giving birth to an LBW-child (<2500g) by using logistic regression analysis. The highest educational attainment of the mother is measured by a five-value categorical variable (ISCED 97: 0-1; 2; 3C; 3-4; 5-6). 5.9% of women had LBW children. This rate is 18.0% among the lowest educated women with ISCED 97: 0-1; and it is 3.6% among the highest educated women with ISCED 97: 5-6. The adjusted predicted probabilities of LBW for these two groups of women are 13.5%, and 3.4% respectively, adjusted for household income quantiles, Roma ethnic background, residence place, smoking, alcohol consumption, and depression during pregnancy; controlled for mother's height, age at birth, parity and child's sex. Compared to women with the lowest level of education, the risk of giving birth to an LBW child decreases by 34.6% for those with the second level of education, by 60.1% for those with the third level of education, by 72.5% for those with the fourth level of education and by 77.2% for those with the highest level of education. Smoking during pregnancy significantly increases the risk of giving birth to an LBW by 54.9%. Being depressed at 7.sup.th month of pregnancy decreased the risk of giving birth to an LBW child in our sample by 13.2%, however the relationship is not significant. Our analysis confirmed that maternal educational attainment has a significant impact on the risk of LBW net of by other maternal SES and health behaviour factors. Nevertheless, even after adjusting for these covariates, inequality in LBW by maternal educational attainment persists.
Editor: San Francisco: Public Library of Science
Idioma: Inglês

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Socio-economic differences among low-birthweight infants in Hungary. Results of the Cohort ‘18 –Growing Up in Hungary birth cohort study

Szabó, Laura ; Boros, Julianna Kim, Yongjoo

San Francisco: Public Library of Science

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