Evidence map›Paper›PMID 30035359›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2018

Differences in maternal smoking across successive pregnancies - dose-dependent relation to BMI z-score in the offspring: an individual patient data (IPD) meta-analysis.

L Albers, R von Kries, C Sobotzki, H J Gao, S L Buka, V L Clifton, L E Grzeskowiak, E Oken, T Paus, Z Pausova and 3 more

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Change in modifiable maternal characteristics and behaviours between consecutive pregnancies and offspring adiposity: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 4 countries.

L AlbersInstitute of Social Paediatrics and Adolescents Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany.ORCID 0000-0002-2430-3167
R von KriesInstitute of Social Paediatrics and Adolescents Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany.
C SobotzkiInstitute of Social Paediatrics and Adolescents Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany.
H J GaoInstitute of Social Paediatrics and Adolescents Medicine, Division of Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany.
S L BukaDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
V L CliftonAdelaide Medical School, The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia.
L E GrzeskowiakAdelaide Medical School, The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia.
E OkenObesity Prevention Program, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA.
T PausRotman Research Institute and Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada.
Z PausovaHospital for Sick Children and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada.
S L Rifas-ShimanObesity Prevention Program, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA.
A J SharmaCenters for Disease Control and Prevention, Atlanta, GA, USA.
S E GilmanHealth Behavior Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
Ludwig-Maximilians-Universität München · DEHarvard University · USThe University of Adelaide · AUUniversity of Toronto · CABrown University · USCenters for Disease Control and Prevention · US

Funding

Social determinants of child development and mental healthZIAHD008976 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI GILMAN, STEPHEN · 2018 to 2025
$14.3M
Intramural CDC HHS CC999999Intramural NIH HHS Z99 HD999999
6 · The paper itself

Abstract

introductionUncontrolled family factors may bias the estimation of the association between maternal smoking during pregnancy and offspring body mass index (BMI). The objective was to assess if there is an association between maternal smoking during pregnancy and offspring BMI z-score independent of factors in the siblings' shared environment and if such association is linear.

methodsWe performed an individual patient data meta-analysis using five studies providing sibling data (45,299 children from 14,231 families). In a multi-level model, separating within-family and between-family effects and with random intercept for families, we analysed the dose-response association between maternal number of cigarettes per day during pregnancy and offspring's BMI z-score using B-splines to allow for non-linear associations.

resultsA linear within-family effect for number of cigarettes smoked in the range from 1 to 30 cigarettes per day on the offspring's BMI z-score was observed. Each additional cigarette per day between sibling pregnancies resulted in an increase in BMI z-score of 0.007 (95% CI [0.006, 0.009]). A between family-effect emerged only with doses ≥25 cigarettes per day.

conclusionsThe number of cigarettes mothers smoke per day during pregnancy is positively associated with offspring BMI z-score even among siblings, suggesting that the association is not entirely explained by confounding by family factors.

Indexed as

Body Mass IndexSmokingFemaleHumansPregnancyPrenatal Exposure Delayed EffectsFamily factorsoffspringsiblingssmoking

Identifiers

PMID30035359
PMCPMC6107372
OpenAlexW2884669478

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.