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Differences by Veteran/civilian status and gender in associations between childhood adversity and alcohol and drug use disorders

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, November 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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5 news outlets
blogs
1 blog
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4 X users

Citations

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25 Dimensions

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62 Mendeley
Title
Differences by Veteran/civilian status and gender in associations between childhood adversity and alcohol and drug use disorders
Published in
Social Psychiatry and Psychiatric Epidemiology, November 2017
DOI 10.1007/s00127-017-1463-0
Pubmed ID
Authors

Elizabeth A. Evans, Dawn M. Upchurch, Tracy Simpson, Alison B. Hamilton, Katherine J. Hoggatt

Abstract

To examine differences by US military Veteran status and gender in associations between childhood adversity and DSM-5 lifetime alcohol and drug use disorders (AUD/DUD). We analyzed nationally representative data from 3119 Veterans (n = 379 women; n = 2740 men) and 33,182 civilians (n = 20,066 women; n = 13,116 men) as provided by the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III). We used weighted multinomial logistic regression, tested interaction terms, and calculated predicted probabilities by Veteran status and gender, controlling for covariates. To test which specific moderation contrasts were statistically significant, we conducted pairwise comparisons. Among civilians, women had lower AUD and DUD prevalence than men; however, with more childhood adversity, this gender gap narrowed for AUD and widened for DUD. Among Veterans, in contrast, similar proportions of women and men had AUD and DUD; with more childhood adversity, AUD-predicted probability among men surpassed that of women. Childhood adversity elevated AUD probability among civilian women to levels exhibited by Veteran women. Among men, Veterans with more childhood adversity were more likely than civilians to have AUD, and less likely to have DUD. Childhood adversity alters the gender gap in AUD and DUD risk, and in ways that are different for Veterans compared with civilians. Department of Defense, Veterans Affairs, and community health centers can prevent and ameliorate the harmful effects of childhood adversity by adapting existing behavioral health efforts to be trauma informed, Veteran sensitive, and gender tailored.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Doctoral Student 8 13%
Student > Master 6 10%
Student > Bachelor 5 8%
Student > Ph. D. Student 4 6%
Other 9 15%
Unknown 19 31%
Readers by discipline Count As %
Medicine and Dentistry 10 16%
Social Sciences 8 13%
Nursing and Health Professions 7 11%
Psychology 6 10%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 4 6%
Unknown 25 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 24 January 2018.
All research outputs
#755,420
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#123
of 2,534 outputs
Outputs of similar age
#18,278
of 442,411 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#4
of 29 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 95% 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 442,411 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 95% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.