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Betting on Life: Associations Between Significant Life Events and Gambling Trajectories Among Gamblers with the Intent to Quit

Overview of attention for article published in Journal of Gambling Studies, March 2018
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Title
Betting on Life: Associations Between Significant Life Events and Gambling Trajectories Among Gamblers with the Intent to Quit
Published in
Journal of Gambling Studies, March 2018
DOI 10.1007/s10899-018-9767-x
Pubmed ID
Authors

Alexandra Godinho, Vladyslav Kushnir, David C. Hodgins, Christian S. Hendershot, John A. Cunningham

Abstract

Considerable evidence has suggested that problem gambling may be transitory and episodic, with gamblers routinely moving in and out of clinical thresholds. Findings in qualitative and quantitative studies have converged on identifying preliminary evidence for the role of life events as motivators and contributing factors for gambling changes over time. The aim of this study was to conduct an exploratory analysis of the relationship between life events, their respective experience as positive or negative, and gambling trajectories among problem gamblers intending to quit. Life event occurrence and ratings as positive or negative, and changes in gambling severity were analyzed over a 12-month period for 204 adult problem gamblers intending to reduce or quit their gambling. Overall, mixed effects models revealed several relationships between life events and both the magnitude and direction of gambling change over time. In particular, gamblers who experienced a greater number of positive events or specific events such as legal events, the adoption/loss of a child, or negative changes to their social relationships, finances, work environments or social/health activities were more likely to exhibit greater gambling reductions over time. Conversely, gamblers who experienced a greater number of negative events, such as family bereavement, the dissolution of a marriage, or negative changes to their residence exhibited smaller gambling reductions or increases in gambling severity. Possible mechanisms which may explain the findings and the importance of examining the subjective experience of life events are discussed. Recommendations for future studies examining associations between life events and gambling trajectories are provided.

X Demographics

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The data shown below were collected from the profiles of 2 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 16%
Student > Ph. D. Student 6 10%
Student > Master 6 10%
Student > Doctoral Student 6 10%
Lecturer > Senior Lecturer 2 3%
Other 10 17%
Unknown 19 33%
Readers by discipline Count As %
Psychology 12 21%
Unspecified 9 16%
Medicine and Dentistry 4 7%
Nursing and Health Professions 4 7%
Social Sciences 3 5%
Other 3 5%
Unknown 23 40%
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 29 March 2018.
All research outputs
#16,053,755
of 25,382,440 outputs
Outputs from Journal of Gambling Studies
#627
of 990 outputs
Outputs of similar age
#200,161
of 346,643 outputs
Outputs of similar age from Journal of Gambling Studies
#14
of 24 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 990 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 34th percentile – i.e., 34% 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 346,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.