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Disordered eating in French high-level athletes: association with type of sport, doping behavior, and psychological features

Overview of attention for article published in Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, November 2016
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Title
Disordered eating in French high-level athletes: association with type of sport, doping behavior, and psychological features
Published in
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, November 2016
DOI 10.1007/s40519-016-0342-0
Pubmed ID
Authors

M. Rousselet, B. Guérineau, M. C. Paruit, M. Guinot, S. Lise, B. Destrube, S. Ruffio-Thery, N. Dominguez, S. Brisseau-Gimenez, V. Dubois, C. Mora, S. Trolonge, S. Lambert, M. Grall-Bronnec, S. Prétagut

Abstract

Over the last few years, disordered eating in athletes has received increasing attention. According to several studies, athletes could be more vulnerable to disordered eating and some characteristics specific to the athletic community could be in favour of an increased risk of poor body image and disturbed eating habits in athletes. However, the literature is sparse and some methodological issues in studies have been pointed out. In this context, we aimed at determining the prevalence of disordered eating in French high-level athletes using clinical interviews of three different clinicians and identifying what are the factors associated with disordered eating in athletes. In France, all athletes registered on the French high-level list have to undergo a yearly evaluation. Data collected during the somatic assessment, the dietary consultation, and the psychological of the yearly evaluation were used. Multivariate analysis was performed for identification of factors associated with disordered eating. Out of the 340 athletes included, 32.9% have been detected with a disordered eating. They were difficult to detect by clinicians, as usual criteria did not seem to be reliable for athletes. Competing in sports emphasizing leanness or low body weight was associated with disordered eating; however, gender was not. These results highlight the need for the development of specific screening tools for high-level athletes. Furthermore, the identification of factors associated with disordered eating could improve early detection and prevention program effectiveness.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 12%
Student > Ph. D. Student 13 12%
Researcher 9 8%
Student > Master 8 7%
Other 7 6%
Other 9 8%
Unknown 53 47%
Readers by discipline Count As %
Psychology 14 12%
Nursing and Health Professions 12 11%
Sports and Recreations 11 10%
Medicine and Dentistry 8 7%
Social Sciences 6 5%
Other 7 6%
Unknown 55 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 December 2016.
All research outputs
#14,821,199
of 23,999,200 outputs
Outputs from Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity
#535
of 1,078 outputs
Outputs of similar age
#175,649
of 313,313 outputs
Outputs of similar age from Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity
#10
of 16 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,078 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 49th percentile – i.e., 49% 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 313,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.