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Risk Factors for Gambling Problems: An Analysis by Gender

Overview of attention for article published in Journal of Gambling Studies, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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2 news outlets
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1 X user
facebook
1 Facebook page
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1 YouTube creator

Citations

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150 Dimensions

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mendeley
212 Mendeley
Title
Risk Factors for Gambling Problems: An Analysis by Gender
Published in
Journal of Gambling Studies, May 2015
DOI 10.1007/s10899-015-9548-8
Pubmed ID
Authors

Nerilee Hing, Alex Russell, Barry Tolchard, Lia Nower

Abstract

Differences in problem gambling rates between males and females suggest that associated risk factors vary by gender. Previous combined analyses of male and female gambling may have obscured these distinctions. This study aimed to develop separate risk factor models for gambling problems for males and for females, and identify gender-based similarities and differences. It analysed data from the largest prevalence study in Victoria Australia (N = 15,000). Analyses determined factors differentiating non-problem from at-risk gamblers separately for women and men, then compared genders using interaction terms. Separate multivariate analyses determined significant results when controlling for all others. Variables included demographics, gambling behaviour, gambling motivations, money management, and mental and physical health. Significant predictors of at-risk status amongst female gamblers included: 18-24 years old, not speaking English at home, living in a group household, unemployed or not in the workforce, gambling on private betting, electronic gaming machines (EGMs), scratch tickets or bingo, and gambling for reasons other than social reasons, to win money or for general entertainment. For males, risk factors included: 18-24 years old, not speaking English at home, low education, living in a group household, unemployed or not in the workforce, gambling on EGMs, table games, races, sports or lotteries, and gambling for reasons other than social reasons, to win money or for general entertainment. High risk groups requiring appropriate interventions comprise young adults, especially males; middle-aged female EGM gamblers; non-English speaking populations; frequent EGM, table games, race and sports gamblers; and gamblers motivated by escape.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 209 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 13%
Researcher 23 11%
Student > Master 23 11%
Student > Bachelor 21 10%
Student > Doctoral Student 15 7%
Other 40 19%
Unknown 62 29%
Readers by discipline Count As %
Psychology 65 31%
Social Sciences 17 8%
Nursing and Health Professions 14 7%
Medicine and Dentistry 9 4%
Sports and Recreations 7 3%
Other 30 14%
Unknown 70 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 28 September 2022.
All research outputs
#2,076,188
of 25,837,817 outputs
Outputs from Journal of Gambling Studies
#118
of 1,023 outputs
Outputs of similar age
#25,596
of 280,305 outputs
Outputs of similar age from Journal of Gambling Studies
#4
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 86% 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 280,305 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.