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Contribution of Risk Factors to Extremely, Very and Moderately Preterm Births – Register-Based Analysis of 1,390,742 Singleton Births
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“Difference-of-coefficients between models was the most common mediation analysis approach”
From Mediators of socioeconomic inequalities in preterm birth: a systematic review (2022) · cites this paper as [43]
In the citing paper
“Six separate individual level measures were used; maternal education was the most frequent (n = 7) [33, 34, 46, 47, 49–51], followed by occupation (each n = 3) [43, 48, 52], two used income [35, 45], two used different composite measures [40, 54], and one used perceived lack of time and money [41].”
From Mediators of socioeconomic inequalities in preterm birth: a systematic review (2022) · cites this paper as [43]
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“They were measured synchronously in four studies,[39, 41, 43, 45]”
From Mediators of socioeconomic inequalities in preterm birth: a systematic review (2022) · cites this paper as [43]
In the citing paper
“Räisänen et al. [43] reported the largest study (nearly 1.4 million births), finding the proportion eliminated was 26% for extremely preterm births (< 28 weeks gestation), 33% for very preterm births (28–32 weeks gestation), and 30% for moderately preterm births (32–37 weeks).”
From Mediators of socioeconomic inequalities in preterm birth: a systematic review (2022) · cites this paper as [43]
In the citing paper
“Räisänen et al. [43] found the proportion eliminated for smoking and other factors (placental abruption, placenta praevia, major congenital anomaly, anaemia, stillbirth, small for gestational age, and sex of infant) was 39% for extremely preterm births, 50% for very preterm births, and 41% for moderately preterm births.”
From Mediators of socioeconomic inequalities in preterm birth: a systematic review (2022) · cites this paper as [43]
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Citations
Cites
Effect of neighbourhood income and maternal education on birth outcomes: a population-based study
Luo, Z.-C. (2006) · Canadian Medical Association Journal · doi:10.1503/cmaj.051096 · Cited by 382
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Cited by
Mediators of socioeconomic inequalities in preterm birth: a systematic review
McHale, P., Maudsley, G., Pennington, A., Schlüter, D. K., Barr, B., Paranjothy, S., & Taylor-Robinson, D. (2022) · BMC Public Health · doi:10.1186/s12889-022-13438-9 · Cited by 89
Metadata
- Authors
- Räisänen, S., Gissler, M., Saari, J., Kramer, M., & Heinonen, S.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-04-05
- Volume
- 8
- Issue
- 4
- Pages
- e60660
- ISSN
- 1932-6203
- Cited by
- 89
- References
- 1
- Language
- en
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- CoChat. (2026). Citation check: Contribution of Risk Factors to Extremely, Very and Moderately Preterm Births – Register-Based Analysis of 1,390,742 Singleton Births. https://app.cochat.ai/papers/10.1371/journal.pone.0060660
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- Räisänen, S., Gissler, M., Saari, J., Kramer, M., & Heinonen, S. (2013). Contribution of Risk Factors to Extremely, Very and Moderately Preterm Births – Register-Based Analysis of 1,390,742 Singleton Births. PLoS ONE. https://doi.org/10.1371/journal.pone.0060660
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
