Evidence map›Paper›PMID 36183174›Full record

ArticleBritish journal of psychology (London, England : 1953)2023

One size does not fit all: Exploring how the five-factor model facets predict disordered eating behaviours among adolescent and young adult males and females.

Tanya Gilmartin, Caroline Gurvich, Joanna F Dipnall, Gemma Sharp

Abstract read
In one paragraph

Article in British journal of psychology (London, England : 1953), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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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

5 citing papers in PubMed.

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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

4 authors.

Tanya GilmartinMonash Alfred Psychiatry Research Centre, Monash University and The Alfred Hospital, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-8990-5241
Caroline GurvichMonash Alfred Psychiatry Research Centre, Monash University and The Alfred Hospital, Melbourne, Victoria, Australia.
Joanna F DipnallSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Gemma SharpMonash Alfred Psychiatry Research Centre, Monash University and The Alfred Hospital, Melbourne, Victoria, Australia.

Funding

Monash University
6 · The paper itself

Abstract

There is a wealth of research that has highlighted the relationship between personality and eating disorders. It has been suggested that understanding how subclinical disordered eating behaviours are uniquely associated with personality can help to improve the conceptualization of individuals with eating disorders. This study aimed to explore how the facets of the Five-Factor Model (FFM) predicted restrictive eating, binge eating, purging, chewing and spitting, excessive exercising and muscle building among males and females. An online survey assessing disordered eating behaviours, FFM and general psychopathology was completed by 394 females and 167 males aged between 16 and 30 years. Simultaneous equations path models were systematically generated for each disordered eating behaviour to identify how the FFM facets, body dissatisfaction and age predicted behaviour. The results indicated that each of the six disordered behaviours were predicted by a unique pattern of thinking, feeling and behaving. Considerable differences between males and females were found for each path model, suggesting differences between males and females in the personality traits that drive disordered eating behaviours. It was concluded that it is important to take personality into account when treating males and females who engage in disordered eating behaviours.

Indexed as

Adolescent BehaviorFeeding and Eating DisordersAdolescentAdultEmotionsFemaleHumansMaleYoung Adultchew and spitdisordered eatingfive-factor modelmale eating disordermuscle building

Identifiers

PMID36183174
PMCPMC10092835

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.