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From Mental Health to Mental Wealth in Athletes: Looking Back and Moving Forward

Overview of attention for article published in Frontiers in Psychology, June 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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17 X users

Citations

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62 Dimensions

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192 Mendeley
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Title
From Mental Health to Mental Wealth in Athletes: Looking Back and Moving Forward
Published in
Frontiers in Psychology, June 2016
DOI 10.3389/fpsyg.2016.00935
Pubmed ID
Authors

Mark Uphill, Dan Sly, Jon Swain

Abstract

Considerations of athletes' mental health are typically framed in the language of mental illness (Hughes and Leavey, 2012), a situation that contributes to stigmatization, denial, and the prevention of effective care. In this article, we provide a critical, narrative review of the extant literature on athlete mental health. Specifically, we begin by providing a brief synopsis of the extant literature on athletes' mental health, illustrating both what we know about (i) the prevalence of mental health issues in sport and (ii) variables contributing to help-seeking behaviors in athletes. Against, this backdrop, we outline Keyes' (2002) two-continuum model of mental health as a theoretical framework that has considerable promise in understanding, talking-about, and intervening to enhance, athletes' mental health. This model posits two related, but distinct dimensions: one continuum indicates the presence or absence of mental health, the other the presence or absence of mental illness. From this perspective, a number of possibilities emerge. For instance, athletes could simultaneously have both positive mental health and experience of mental illness. Alternatively, athletes could be free from mental illness, but in Keyes' terms be "languishing" (i.e., experiencing low levels of mental health). Implications for interventions based on the two-continuum model are discussed, particularly drawing on assets-based approaches to enhance flourishing (Theokas et al., 2005). We conclude the review by considering limitations in our understanding of how to promote flourishing and suggest avenues for further research.

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X Demographics

The data shown below were collected from the profiles of 17 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 192 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 19%
Student > Ph. D. Student 19 10%
Student > Bachelor 18 9%
Student > Postgraduate 12 6%
Researcher 10 5%
Other 27 14%
Unknown 70 36%
Readers by discipline Count As %
Psychology 48 25%
Sports and Recreations 30 16%
Nursing and Health Professions 11 6%
Medicine and Dentistry 9 5%
Social Sciences 8 4%
Other 15 8%
Unknown 71 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 08 April 2022.
All research outputs
#2,672,751
of 24,247,965 outputs
Outputs from Frontiers in Psychology
#5,283
of 32,605 outputs
Outputs of similar age
#48,038
of 359,584 outputs
Outputs of similar age from Frontiers in Psychology
#93
of 407 outputs
Altmetric has tracked 24,247,965 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,605 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 83% of its peers.
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 359,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.