Predicting drive for muscularity behavioural engagement from body image attitudes and emotions

David A Tod; C Edwards

doi:10.1016/j.bodyim.2012.08.010

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Predicting drive for muscularity behavioural engagement from body image attitudes and emotions

Journal article

Peer reviewed

Predicting drive for muscularity behavioural engagement from body image attitudes and emotions

David A Tod and C Edwards

Body Image, Vol.10(1), pp.135-138

2013

DOI: https://doi.org/10.1016/j.bodyim.2012.08.010

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Abstract

drive for muscularity

appearance investment

moderation

body image disturbance

situational body image dysphoria

We examined the potential moderating effects of appearance investment, body image disturbance, and situational body image dysphoria on the drive for muscularity attitude-behaviour relationship. Participants (339 British college men, MAGE = 20.00 years, SD = 2.59) completed drive for muscularity attitude and behaviour, appearance investment, body image disturbance, and situational body image dysphoria measures. Results indicated higher levels of appearance investment, body image disturbance, and situational body image dysphoria were associated with increases in the drive for muscularity attitude's relationship with physique-enhancing behavioural engagement. Results help extend recent research that has moved beyond identifying correlates to examining ways that groups of variables interact to predict drive for muscularity behavioural engagement and may contribute to theory development.

Details

Title: Predicting drive for muscularity behavioural engagement from body image attitudes and emotions
Authors: David A Tod (Author) - Aberystwyth University, United Kingdom
C Edwards (Author) - University of Worcester, United Kingdom
Publication details: Body Image, Vol.10(1), pp.135-138
Publisher: Elsevier BV
Date published: 2013
DOI: 10.1016/j.bodyim.2012.08.010
ISSN: 1740-1445
Organisation Unit: School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99448823702621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Psychiatry; Psychology, Clinical; Psychology, Multidisciplinary

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