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How Anticipated and Experienced Stigma Can Contribute to Self-Stigma: The Case of Problem Gambling

Overview of attention for article published in Frontiers in Psychology, February 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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1 policy source
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3 X users

Citations

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44 Dimensions

Readers on

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67 Mendeley
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Title
How Anticipated and Experienced Stigma Can Contribute to Self-Stigma: The Case of Problem Gambling
Published in
Frontiers in Psychology, February 2017
DOI 10.3389/fpsyg.2017.00235
Pubmed ID
Authors

Nerilee Hing, Alex M. T. Russell

Abstract

The degree to which anticipated and experienced public stigma contribute to self-stigma remains open to debate, and little research has been conducted into the self-stigma of problem gambling. This study aimed to examine which aspects of anticipated and experienced stigma (if any) predict the anticipated level of public stigma associated with problem gambling and the degree of self-stigma felt by people experiencing problem gambling. An online survey of 177 Australians experiencing problem gambling examined whether aspects of the public characterization of problem gambling, anticipated reactions to problem gamblers, and experiences of devaluation and discrimination predicted anticipated level of public stigma and self-stigma. The study found that self-stigma increases with expectations that the public applies a range of negative stereotypes to people with gambling problems, holds demeaning and discriminatory attitudes toward them, and considers them to lead highly disrupted lives. These variables directly predicted anticipated level of public stigma and indirectly predicted self-stigma. These findings lend weight to conceptualizations of self-stigma as an internalization of actual or anticipated public stigma. They also highlight the need for stigma reduction efforts, particularly those that lower negative stereotyping and prejudicial attitudes, to improve currently low rates of help-seeking amongst people with gambling problems.

X Demographics

X Demographics

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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 16%
Researcher 8 12%
Student > Ph. D. Student 5 7%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 14 21%
Unknown 20 30%
Readers by discipline Count As %
Psychology 22 33%
Social Sciences 8 12%
Nursing and Health Professions 5 7%
Medicine and Dentistry 4 6%
Business, Management and Accounting 3 4%
Other 3 4%
Unknown 22 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 July 2022.
All research outputs
#6,592,801
of 24,920,664 outputs
Outputs from Frontiers in Psychology
#9,350
of 33,638 outputs
Outputs of similar age
#99,126
of 316,372 outputs
Outputs of similar age from Frontiers in Psychology
#219
of 487 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 33,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 72% 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 316,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 487 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.