Evidence map›Paper›PMID 30891792›Full record

ArticleThe International journal of eating disorders2019

Prenatal and perinatal risk factors for eating disorders in women: A population cohort study.

Hunna J Watson, Elizabeth W Diemer, Stephanie Zerwas, Kristin Gustavson, Gun Peggy Knudsen, Leila Torgersen, Ted Reichborn-Kjennerud, Cynthia M Bulik

Open access · greenAbstract read
In one paragraph

Article in The International journal of eating disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. The current clinical approach to feeding and eating disorders aimed to increase personalization of management.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025
    Article
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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

8 authors at 4 institutions in 4 countries.

Hunna J WatsonDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-8405-381X
Elizabeth W DiemerHarvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Stephanie ZerwasDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Kristin GustavsonDepartment of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway.
Gun Peggy KnudsenDepartment of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway.
Leila TorgersenDepartment of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway.
Ted Reichborn-KjennerudDivision of Mental Health Services, Akershus University Hospital, Oslo, Norway.
Cynthia M BulikDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Norwegian Institute of Public Health · NOUniversity of North Carolina at Chapel Hill · USHarvard University · USUniversity of Oslo · NO

Funding

Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
Developmental Psychopathology of Restrictive and Binge Eating in ChildhoodK01MH100435 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZERWAS, STEPHANIE CHRISTINE · 2013 to 2015
$488k
National Institutes of Health/National Institute of Neurological Disorders and Stroke UO1 NS 047537-01National Institutes of Health/National Institute of Neurological Disorders and Stroke UO1 NS 047537-06A1NIEHS NIH HHS N01 ES075558NIMH NIH HHS K01 MH100435NINDS NIH HHS U01 NS047537
6 · The paper itself

Abstract

objectiveThe fetal programming model hypothesizes that developmental programming in utero and in early life induces adaptations that predetermine the adult phenotype. This study investigated whether prenatal/perinatal complications are associated with lifetime eating disorders in women.

methodParticipants included 46,373 adult women enrolled in the Norwegian Mother and Child Cohort Study (den norske Mor & barn-undersøkelsen [MoBa]). MoBa mothers and their mothers (MoBa grandmothers) were the focus of the current study. MoBa mothers with lifetime eating disorders were compared to a referent group.

resultsMoBa mothers who weighed more at birth (birth weight, adjusted odds ratio [OR] = 1.14; 95% confidence interval [CI]: 1.10-1.19) or were born large-for-gestational-age (adjusted OR = 1.39; 95% CI: 1.27-1.52) were more likely to develop binge-eating disorder in later life. MoBa mothers who weighed less at birth were more likely to develop anorexia nervosa (birth weight, adjusted OR = 0.88; 95% CI: 0.81-0.95). Bulimia nervosa and purging disorder (PD) were not significantly predicted by the prenatal and perinatal factors examined. DISCUSSION: Results of this study, which include the first known investigation of prenatal and perinatal factors in binge-eating disorder and PD, suggest that fetal programming may be relevant to the development of anorexia nervosa and binge-eating disorder. Future genetically informative research is needed to help disentangle whether these associations are a function of genetic influences or a true environmental fetal programming effect.

Indexed as

AdultCohort StudiesFeeding and Eating DisordersFemaleHumansPregnancyPregnancy ComplicationsRisk FactorsSurveys and QuestionnairesYoung Adultanorexia nervosabinge-eating disorderbirth outcomesbulimia nervosaeating disorderMoBapregnancy

Identifiers

PMID30891792
PMCPMC6644683
OpenAlexW2924227008

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.