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Tears in Your Beer: Gender Differences in Coping Drinking Motives, Depressive Symptoms and Drinking

Overview of attention for article published in International Journal of Mental Health and Addiction, May 2014
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Title
Tears in Your Beer: Gender Differences in Coping Drinking Motives, Depressive Symptoms and Drinking
Published in
International Journal of Mental Health and Addiction, May 2014
DOI 10.1007/s11469-014-9504-3
Pubmed ID
Authors

Dawn W. Foster, Chelsie M. Young, Mai-Ly N. Steers, Michelle C. Quist, Jennifer L. Bryan, Clayton Neighbors

Abstract

This study evaluates associations between coping drinking motives (CDM; drinking to regulate negative affect), depressive symptoms, and drinking behavior and extends the literature by also taking into account gender differences. Two hundred forty-three college students (Mean age = 22.93, SD = 6.29, 82% female) participated. Based on previous research, we expected that CDM would be positively associated with drinking and problems, particularly among those higher in depressive symptoms, as individuals experiencing higher levels of negative affect (i.e. depressive symptoms) and who drink to cope are likely to drink more and experience more alcohol-related problems. Lastly, based on established gender differences, we expected that CDM would be positively associated with drinking and problems, especially among females higher in depressive symptoms. Unexpectedly, findings suggested that CDMs were positively related to peak drinking, especially among those lower in depressive symptoms. Results further revealed a significant three-way interaction between CDM, depressive symptoms, and gender when predicting alcohol-related problems and drinking frequency. Specifically, we found that CDM were more strongly associated with problems among women who were lower in depressive symptoms; whereas CDM were more strongly associated with problems among men who were higher in depressive symptoms. These findings offer a more comprehensive depiction of the relationship between depressive symptoms, CDM, and drinking behavior by taking into account the importance of gender differences. These results provide additional support for considering gender when designing and implementing alcohol intervention strategies.

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

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
France 1 2%
Unknown 60 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Master 10 16%
Researcher 9 14%
Student > Bachelor 5 8%
Professor > Associate Professor 4 6%
Other 10 16%
Unknown 13 21%
Readers by discipline Count As %
Psychology 21 33%
Social Sciences 7 11%
Medicine and Dentistry 4 6%
Arts and Humanities 3 5%
Neuroscience 3 5%
Other 6 10%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 December 2014.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from International Journal of Mental Health and Addiction
#625
of 1,003 outputs
Outputs of similar age
#136,187
of 230,089 outputs
Outputs of similar age from International Journal of Mental Health and Addiction
#6
of 12 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 20th percentile – i.e., 20% 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 230,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.