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At-Risk/Problematic Shopping and Gambling in Adolescence

Overview of attention for article published in Journal of Gambling Studies, August 2014
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66 Mendeley
Title
At-Risk/Problematic Shopping and Gambling in Adolescence
Published in
Journal of Gambling Studies, August 2014
DOI 10.1007/s10899-014-9494-x
Pubmed ID
Authors

Sarah W. Yip, Songli Mei, Corey E. Pilver, Marvin A. Steinberg, Loreen J. Rugle, Suchitra Krishnan-Sarin, Rani A. Hoff, Marc N. Potenza

Abstract

Elevated levels of both pathological gambling (PG) and problem shopping (PS) have been reported among adolescents, and each is associated with a range of other negative health/functioning measures. However, relationships between PS and PG, particularly during adolescence, are not well understood. In this study, we explored the relationship between different levels of problem-gambling severity and health/functioning characteristics, gambling-related social experiences, gambling behaviors and motivations among adolescents with and without at-risk/problematic shopping (ARPS). Survey data from Connecticut high school students (n = 2,100) were analyzed using bivariate analyses and logistic regression modeling. Although at-risk/problematic gambling (ARPG) was not increased among adolescents with ARPS, adolescents with ARPG (vs non-gamblers) were more likely to report having experienced a growing tension or anxiety that could only be relieved by shopping and missing other obligations due to shopping. In comparison to the non-ARPS group, a smaller proportion of respondents in the ARPS group reported paid part-time employment, whereas a greater proportion of respondents reported excessive gambling by peers and feeling concerned over the gambling of a close family member. In general, similar associations between problem-gambling severity and measures of health/functioning and gambling-related behaviors and motivations were observed across ARPS and non-ARPS adolescents. However, associations were weaker among ARPS adolescents for several variables: engagement in extracurricular activities, alcohol and caffeine use and gambling for financial reasons. These findings suggest a complex relationship between problem-gambling severity and ARPS. They highlight the importance of considering co-occurring risk behaviors such as ARPS when treating adolescents with at-risk/problem gambling.

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The data shown below were collected from the profiles of 4 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 12%
Student > Doctoral Student 8 12%
Researcher 7 11%
Student > Bachelor 7 11%
Student > Ph. D. Student 6 9%
Other 12 18%
Unknown 18 27%
Readers by discipline Count As %
Psychology 17 26%
Neuroscience 5 8%
Medicine and Dentistry 5 8%
Nursing and Health Professions 4 6%
Unspecified 3 5%
Other 9 14%
Unknown 23 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 August 2014.
All research outputs
#15,092,197
of 25,374,917 outputs
Outputs from Journal of Gambling Studies
#582
of 989 outputs
Outputs of similar age
#120,535
of 243,100 outputs
Outputs of similar age from Journal of Gambling Studies
#8
of 16 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 989 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 40th percentile – i.e., 40% 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 243,100 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 50% of its contemporaries.
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 has gotten more attention than average, scoring higher than 50% of its contemporaries.