Literature DB >> 19449216

Predictive social factors in relation to preterm birth in a metropolitan region.

Katrien Beeckman1, Sabine van De Putte, Koen Putman, Fred Louckx.   

Abstract

OBJECTIVE: Preterm birth is an important indicator of neonatal wellbeing. Infants born preterm are at higher risk for severe morbidity and mortality. Apart from medical risk factors, social factors are also associated with preterm birth. This study aims to provide knowledge on factors which have a predictive role in relation to preterm birth.
DESIGN: Cross-sectional population study.
SETTING: The Brussels metropolitan region. POPULATION: Women who gave birth in the Brussels metropolitan region in 2004. In total, 8,586 birth registration forms were reviewed for this study. MAIN OUTCOME MEASURES: Associations between educational level, occupation, marital status, age, and origin with preterm birth (<37 weeks).
METHODS: After bivariate analyses, significant correlations were explored in a stepwise logistic regression model. Odds ratios (OR) were calculated for each of the significant characteristics in the final model.
RESULTS: The risk of preterm birth was found to be associated with age, origin, and marital status. After controlling for confounding factors, the two most important social risk factors for preterm birth were being a teenage mother (OR 2.15, 95% CI: 1.31-3.53) or single mother (OR 1.49, 95% CI: 1.17-1.91).
CONCLUSIONS: Being a teenage or single mother are important social risk factors for preterm birth. We hypothesize that the increased risk is related to prenatal care trajectories. To obtain a better understanding of preterm birth occurrences, further research should focus on mapping these trajectories and specifically targeting the most vulnerable groups.

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Mesh:

Year:  2009        PMID: 19449216     DOI: 10.1080/00016340902974007

Source DB:  PubMed          Journal:  Acta Obstet Gynecol Scand        ISSN: 0001-6349            Impact factor:   3.636


  5 in total

1.  Second trimester maternal plasma levels of cytokines IL-1Ra, Il-6 and IL-10 and preterm birth.

Authors:  R J Ruiz; N Jallo; C Murphey; C N Marti; E Godbold; R H Pickler
Journal:  J Perinatol       Date:  2012-03-29       Impact factor: 2.521

2.  Unsupervised Learning Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data.

Authors:  Márcio L B Lopes; Raquel de M Barbosa; Marcelo A C Fernandes
Journal:  Int J Environ Res Public Health       Date:  2022-05-05       Impact factor: 4.614

3.  Predisposing individual characteristics and perinatal outcomes of women in the Tokyo metropolitan area who initiate prenatal care late in their pregnancy: a case-control study.

Authors:  Jun Kakogawa; Miyuki Sadatsuki; Takeji Matsushita; Takuro Simbo
Journal:  ISRN Obstet Gynecol       Date:  2012-08-08

4.  Recurrence of preterm birth and perinatal mortality in northern Tanzania: registry-based cohort study.

Authors:  Michael J Mahande; Anne K Daltveit; Joseph Obure; Blandina T Mmbaga; Gileard Masenga; Rachel Manongi; Rolv T Lie
Journal:  Trop Med Int Health       Date:  2013-04-13       Impact factor: 2.622

5.  Recurrence rate of preterm birth and associated factors among women who delivered at Kilimanjaro Christian Medical Centre in Northern Tanzania: A registry based cohort study.

Authors:  Nathaniel Halide Kalengo; Leah A Sanga; Rune Nathaniel Philemon; Joseph Obure; Michael J Mahande
Journal:  PLoS One       Date:  2020-09-14       Impact factor: 3.240

  5 in total

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