Evidence map›Paper›PMID 19107833›Full record

ArticleThe International journal of eating disorders2009

Gender difference in the prevalence of eating disorder symptoms.

Ruth H Striegel-Moore, Francine Rosselli, Nancy Perrin, Lynn DeBar, G Terence Wilson, Alexis May, Helena C Kraemer

Abstract read
In one paragraph

Article in The International journal of eating disorders, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 226 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
226citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

226 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  8. Essential Training for an Essential Role: Dietitians and Eating Disorder Care.European eating disorders review : the journal of the Eating Disorders Association · 2026
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166 more citing papers are in PubMed but not listed here.

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

7 authors.

Ruth H Striegel-MooreDepartment of Psychology, Wesleyan University, Middletown, Connecticut 06459-0408, USA. rstriegel@wesleyan.edu
Francine Rosselli
Nancy Perrin
Lynn DeBar
G Terence Wilson
Alexis May
Helena C Kraemer

Funding

Guided Self-Help for Eating DisordersR01MH066966 · NIMH · KAISER FOUNDATION RESEARCH INSTITUTE · PI STRIEGEL, RUTH H · 2003 to 2007
$3.0M
NIMH NIH HHS MH066966NIMH NIH HHS R01 MH066966
6 · The paper itself

Abstract

objectiveThis study examined gender differences in prevalence of eating disorder symptoms including body image concerns (body checking or avoidance), binge eating, and inappropriate compensatory behaviors.

methodA random sample of members (ages 18-35 years) of a health maintenance organization was recruited to complete a survey by mail or on-line. Items were drawn from the Patient Health Questionnaire and the Body Shape Questionnaire.

resultsAmong the 3,714 women and 1,808 men who responded, men were more likely to report overeating, whereas women were more likely to endorse loss of control while eating. Although statistically significant gender differences were observed, with women significantly more likely than men to report body checking and avoidance, binge eating, fasting, and vomiting, effect sizes ("Number Needed to Treat") were small to moderate. DISCUSSION: Few studies of eating disorders include men, yet our findings suggest that a substantial minority of men also report eating disorder symptoms.

Indexed as

Internal-External ControlAdolescentAdultBody ImageChi-Square DistributionDiet, ReducingFeeding and Eating DisordersFeeding BehaviorFemaleHumansMaleObesityPrevalencePsychometricsSelf ConceptSex Factors

Identifiers

PMID19107833
PMCPMC2696560

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.