Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 29

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Maternal education and offspring birth weight for gestational age: the mediating effect of smoking during pregnancy

Nakamura, Aurélie, Pryor, Laura, Ballon, Morgane, Lioret, Sandrine, Heude, Barbara, Charles, Marie-Aline, Melchior, Maria, El-Khoury Lesueur, Fabienne·2020·European Journal of Public Health

Abstract

Background: Small for gestational age (SGA) birth weight, a risk factor for infant mortality and delayed child development, is associated with maternal educational attainment. Maternal tobacco smoking during pregnancy could contribute to this association. We aimed to quantify the contribution of maternal smoking during pregnancy to social inequalities in child birth weight for gestational age (GA). Methods: Data come from the French nation-wide ELFE cohort study, which included 17 155 singletons. Birth weights for GA were calculated using z-scores. Associations between maternal educational attainment, tobacco smoking during pregnancy and child birth weight for GA were ascertained using mediation analysis. Mediation analyses were also stratified by maternal pre-pregnancy body mass index. Results: Low maternal educational attainment was associated with an increased odd of tobacco smoking during pregnancy [adjusted OR (ORa) = 2.58 (95% CI 2.34–2.84)] as well as a decrease in child birth weight for GA [RRa = 0.94 (95% CI 0.91–0.98)]. Tobacco smoking during pregnancy was associated with a decrease in offspring birth weight for GA [RRa = 0.73 (95% CI 0.70–0.76)]. Mediation analysis suggests that 39% of the effect of low maternal educational attainment on offspring birth weight for GA was mediated by smoking during pregnancy. A more important direct effect of maternal educational attainment on child birth weight for GA was observed among underweight women [RRa = 0.82 (95% CI 0.72–0.93)]. Conclusions: The relationship between maternal educational attainment and child birth weight for GA is strongly mediated by smoking during pregnancy. Reducing maternal smoking could lessen the occurrence of infant SGA and decrease socioeconomic inequalities in birth weight for GA.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/eurpub/ckaa076

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 34

  1. Ruiz, 2015, Mother’s education and the risk of preterm and small for gestational age birth: a DRIVERS meta-analysis of 12 European cohorts, J Epidemiol Community Health, 69, 826, 10.1136/jech-2014-205387 · DOI · Paper page
  2. Ludvigsson, 2018, Small for gestational age and risk of childhood mortality: a Swedish population study, PLoS Med, 15, e1002717, 10.1371/journal.pmed.1002717 · DOI
  3. Barker, 1993, Fetal nutrition and cardiovascular disease in adult life, Lancet, 341, 938, 10.1016/0140-6736(93)91224-A · DOI · Paper page
  4. Blumenshine, 2010, Socioeconomic disparities in adverse birth outcomes: a systematic review, Am J Prev Med, 39, 263, 10.1016/j.amepre.2010.05.012 · DOI · Paper page
  5. Lanting, 2009, Clustering of socioeconomic, behavioural, and neonatal risk factors for infant health in pregnant smokers, PLoS One, 4, e8363, 10.1371/journal.pone.0008363 · DOI
  6. Azria, 2015, Inégalités sociales en santé périnatale, Archives de Pédiatrie, 22, 1078, 10.1016/j.arcped.2015.07.006 · DOI
  7. Mortensen, 2008, Social inequality in fetal growth: a comparative study of Denmark, Finland, Norway and Sweden in the period 1981–2000, J Epidemiol Community Health, 62, 325, 10.1136/jech.2007.061473 · DOI · Paper page
  8. Pereira PP da, 2017, Maternal active smoking during pregnancy and low birth weight in the Americas: a systematic review and meta-analysis, Nicotine Tobacco Res, 19, 497, 10.1093/ntr/ntw228 · DOI
  9. van den Berg, 2012, Educational inequalities in perinatal outcomes: the mediating effect of smoking and environmental tobacco exposure, PLoS One, 7, e37002, 10.1371/journal.pone.0037002 · DOI · Paper page
  10. Huijbregts, 2006, Interrelations between maternal smoking during pregnancy, birth weight and sociodemographic factors in the prediction of early cognitive abilities, Inf Child Develop, 15, 593, 10.1002/icd.480 · DOI
  11. Beard, 2009, Socioeconomic and maternal determinants of small-for-gestational age births: patterns of increasing disparity, Acta Obstet Gynecol Scand, 88, 575, 10.1080/00016340902818170 · DOI
  12. Ballon, 2019, Which modifiable prenatal factors mediate the relation between socio-economic position and a child’s weight and length at birth?, Matern Child Nutr, 15, e12878, 10.1111/mcn.12878 · DOI
  13. Andler, 2018, Baromètre Santé 2017. Consommations D’alcool et de Tabac Durant la Grossesse, 9
  14. El-Khoury, 2017, Smoking trajectories during the perinatal period and their risk factors: the Nationally Representative French ELFE (Etude Longitudinale Française Depuis l’Enfance) Birth Cohort Study, Eur Addict Res, 23, 194, 10.1159/000479022 · DOI
  15. Sundquist, 1998, The influence of socioeconomic status, ethnicity and lifestyle on body mass index in a longitudinal study, Int J Epidemiol, 27, 57, 10.1093/ije/27.1.57 · DOI
  16. Yu, 2013, Pre-pregnancy body mass index in relation to infant birth weight and offspring overweight/obesity: a systematic review and meta-analysis, PLoS One, 8, e61627, 10.1371/journal.pone.0061627 · DOI
  17. Mortensen, 2009, The social gradient in birthweight at term: quantification of the mediating role of maternal smoking and body mass index, Hum Reprod, 24, 2629, 10.1093/humrep/dep211 · DOI
  18. Charles, 2019, Cohort profile: the French National cohort of children ELFE: birth to 5 years, Int J Epidemiol
  19. Hertz-Picciotto, 1998, Comparisons of infant mortality using a percentile-based method of standardization for birthweight or gestational age, Epidemiology, 9, 61, 10.1097/00001648-199801000-00013 · DOI
  20. de Bernabé, 2004, Risk factors for low birth weight: a review, Eur J Obstet Gynecol Reprod Biol, 116, 3, 10.1016/j.ejogrb.2004.03.007 · DOI · Paper page
  21. Chasan-taber, 2004, Development and validation of a pregnancy physical activity questionnaire, Med Sci Sports Exerc, 36, 1750, 10.1249/01.MSS.0000142303.49306.0D · DOI
  22. Mathur, 2018, Web site and R package for computing E-values, Epidemiology, 29, e45, 10.1097/EDE.0000000000000864 · DOI
  23. Melchior, 2015, Maternal tobacco smoking in pregnancy and children’s socio-emotional development at age 5: the EDEN mother-child birth cohort study, Eur Psychiatry, 30, 562, 10.1016/j.eurpsy.2015.03.005 · DOI · Paper page
  24. Pettersson, 2015, Birth weight as an independent predictor of ADHD symptoms: a within-twin pair analysis, J Child Psychol Psychiatry, 56, 453, 10.1111/jcpp.12299 · DOI
  25. van den Berg, 2013, Smoking overrules many other risk factors for small for gestational age birth in less educated mothers, Early Hum Dev, 89, 497, 10.1016/j.earlhumdev.2013.03.007 · DOI
  26. Silva, 2010, Socioeconomic status, birth weight, maternal smoking during pregnancy and adiposity in early adult life: an analysis using structural equation modeling, Cad Saúde Pública, 26, 15, 10.1590/S0102-311X2010000100003 · DOI
  27. Schneider, 2009, Smoking cessation during pregnancy: a systematic literature review, Drug Alcohol Rev, 29, 81, 10.1111/j.1465-3362.2009.00098.x · DOI
  28. Bryant, 2011, A systematic review and meta-analysis of the effectiveness of behavioural smoking cessation interventions in selected disadvantaged groups, Addiction, 106, 1568, 10.1111/j.1360-0443.2011.03467.x · DOI
  29. Knopik, 2012, The epigenetics of maternal cigarette smoking during pregnancy and effects on child development, Dev Psychopathol, 24, 1377, 10.1017/S0954579412000776 · DOI · Paper page
  30. De Wolff, 2019, Prevalence and predictors of maternal smoking prior to and during pregnancy in a regional Danish population: a cross-sectional study, Reprod Health, 16, 82, 10.1186/s12978-019-0740-7 · DOI
  31. Kramer, 1987, Determinants of low birth weight: methodological assessment and meta-analysis, Bull World Health Organ, 65, 663
  32. Steiber, 2016, Contextualizing the education effect on women’s employment: a cross-national comparative analysis, J Marriage Fam, 78, 246, 10.1111/jomf.12256 · DOI
  33. Momen, 2016, Exposure to maternal smoking during pregnancy and risk of childhood cancer: a study using the Danish national registers, Cancer Causes Control, 27, 341, 10.1007/s10552-015-0707-0 · DOI
  34. Smedberg, 2014, Characteristics of women who continue smoking during pregnancy: a cross-sectional study of pregnant women and new mothers in 15 European countries, BMC Pregnancy Childbirth, 14, 213, 10.1186/1471-2393-14-213 · DOI

Cited by

See all 29

Metadata

Authors
Nakamura, A., Pryor, L., Ballon, M., Lioret, S., Heude, B., Charles, M.-A., Melchior, M., & El-Khoury Lesueur, F.
Venue
European Journal of Public Health
Published
2020-06-12
Volume
30
Issue
5
Pages
1001-1006
ISSN
  • 1101-1262
  • 1464-360X
Cited by
29
References
4
Language
en
Funders
  • French Institute for Demographic Studies
  • National Institute of Health and Medical Research
  • INSERM
  • French blood transfusion service
  • Santé Publique France
  • National Institute for Statistics and Economic Studies
  • INSEE
  • DGS, part of the Ministry of Health and Social Affairs
  • Direction générale de la prévention des risques
  • DGPR, Ministry for the Environment
  • DREES, Ministry of Health and Social Affairs
  • DEPS, Ministry of Culture
  • Caisse nationale des allocations familiales
  • Ministry of Higher Education and Research and the Institut national de la jeunesse et de l’éducation populaire
  • RECONAI
  • National Research Agency under the ‘Investissements d’avenir’ programme (ANR-11-EQPX-0038)
  • SOCIALRISK_MH project funded through the ANR ‘Social determinants of health’ programme

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.