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Attentional biases toward body images in males at high risk of muscle dysmorphia

Overview of attention for article published in PeerJ, January 2018
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Article details
Title
Attentional biases toward body images in males at high risk of muscle dysmorphia
Published in
PeerJ, January 2018
DOI 10.7717/peerj.4273
Pubmed ID
Authors
Abstract

Although research on muscle dysmorphia (MD), a body dysmorphic disorder subtype, has recently increased, the causes and mechanisms underlying this disorder remain unclear. Results from studies examining disorders associated with body image suggest the involvement of self-schema in biasing attention toward specific body information. The present study examined whether individuals at higher risk of MD also display attentional biases toward specific types of body images. The validated Chinese version of the Muscle Appearance Satisfaction Scale was used to distinguish men at higher and lower risk of MD. Sixty-five adult Chinese men at higher (HRMD, n = 33) and lower risk of MD (LRMD, n = 32) performed a visual probe task. Initially, an image of a bodybuilder with either larger or smaller musculature was presented on one side of a central point, with a neutral image of a car exterior presented on the other side along the horizontal plane for 2,000 ms. The paired images were removed, and a visual target (a dot) was displayed in the location of one of the previously shown images. Participants were asked to indicate the location of the target, and their eye movements were recorded during the entire visual presentation. Participant reaction time and three eye movement measurements (gaze direction, first saccade latency, and first fixation duration) were recorded for use in determining attentional bias. The HRMD group revealed biases in orienting and maintaining their attention on images of bodybuilders with larger musculatures. Participants in this group consequently had a shorter reaction time in identifying the target that appeared at the location in which an image of a bodybuilder with a larger musculature had been previously displayed. They also directed their initial gaze more frequently, had shorter saccade latency, and had longer first fixation duration on images of bodybuilders with larger musculatures (all p < .0001). In comparison, the LRMD group had longer reaction times, slower attention orientation toward body images, and shorter fixation duration for images of bodybuilders with larger musculatures (all p < .0001), indicating weaker or mixed responses. Adult Chinese men at higher risk of MD displayed biases in orienting and maintaining their visual attention toward images of bodybuilders with larger musculatures, and these biases facilitated their information processing. These results suggest that development of MD may be due in part to attentional biases associated with established negative self-schema of specific body information. These findings provide insight into understanding and identifying the cognitive characteristics of MD in an Asian population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 10 17%
Student > Ph. D. Student 6 10%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Professor > Associate Professor 4 7%
Other 10 17%
Unknown 22 37%
Readers by discipline
Readers by discipline Count As %
Psychology 20 33%
Medicine and Dentistry 4 7%
Nursing and Health Professions 3 5%
Sports and Recreations 2 3%
Social Sciences 2 3%
Other 6 10%
Unknown 23 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2021.
All research outputs
#25,785,386
of 32,094,751 outputs
Outputs from PeerJ
#13,170
of 16,389 outputs
Outputs of similar age
#361,258
of 479,003 outputs
Outputs of similar age from PeerJ
#269
of 335 outputs
Altmetric has tracked 32,094,751 research outputs across all sources so far. This one is in the 17th percentile – i.e., 17% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 479,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 335 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.