Evidence map›Paper›PMID 26404627›Full record

ArticleBehavior genetics2016

A Genetically Informed Study of the Associations Between Maternal Age at Childbearing and Adverse Perinatal Outcomes.

Ayesha C Sujan, Martin E Rickert, Quetzal A Class, Claire A Coyne, Paul Lichtenstein, Catarina Almqvist, Henrik Larsson, Arvid Sjölander, Benjamin B Lahey, Carol van Hulle and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Behavior genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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 8 institutions in 2 countries.

Ayesha C SujanDepartment of Psychological and Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN, 47405, USA. asujan@indiana.edu.ORCID 0000-0002-4374-9949
Martin E RickertDepartment of Psychological and Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN, 47405, USA.
Quetzal A ClassDepartment of Psychological and Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN, 47405, USA.
Claire A CoyneAnn and Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Paul LichtensteinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Catarina AlmqvistDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Henrik LarssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Arvid SjölanderDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Benjamin B LaheyDepartment of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Carol van HulleWaisman Center, University of Wisconsin-Madison, WI, USA.
Irwin WaldmanDepartment of Psychology, Emory University, Atlanta, GA, USA.
A Sara ÖbergDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Brian M D'OnofrioDepartment of Psychological and Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN, 47405, USA.
Indiana University Bloomington · USKarolinska Institutet · SEChicago Department of Public Health · USEmory University · USHarvard University · USKarolinska University Hospital · SELurie Children's Hospital · USUniversity of Wisconsin–Madison · US

Funding

Quasi-experimental studies of early risk factors for severe psychopathologyR01HD061817 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI D'ONOFRIO, BRIAN M, LICHTENSTEIN, PAUL · 2010 to 2013
$1.3M
NICHD NIH HHS R01 HD061817
6 · The paper itself

Abstract

We examined associations of maternal age at childbearing (MAC) with gestational age and fetal growth (i.e., birth weight adjusting for gestational age), using two genetically informed designs (cousin and sibling comparisons) and data from two cohorts, a population-based Swedish sample and a nationally representative United States sample. We also conducted sensitivity analyses to test limitations of the designs. The findings were consistent across samples and suggested that, associations observed in the population between younger MAC and shorter gestational age were confounded by shared familial factors; however, associations of advanced MAC with shorter gestational age remained robust after accounting for shared familial factors. In contrast to the gestational age findings, neither early nor advanced MAC was associated with lower fetal growth after accounting for shared familial factors. Given certain assumptions, these findings provide support for a causal association between advanced MAC and shorter gestational age. The results also suggest that there are not causal associations between early MAC and shorter gestational age, between early MAC and lower fetal growth, and between advanced MAC and lower fetal growth.

Indexed as

Genetic Association StudiesMaternal AgeAdolescentAdultBirth WeightDemographyFemaleGestational AgeHumansMiddle AgedPregnancyPregnancy OutcomeSwedenUnited StatesYoung AdultBirth weightFetal growthGenetically informed designsGestational ageMaternal age at childbearingQuasi-experiments

Identifiers

PMID26404627
PMCPMC4808498
OpenAlexW1783636525

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.