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

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Title: Differences by Veteran/civilian status and gender in associations between childhood adversity and alcohol and drug use disorders.
Authors: Evans, Elizabeth A., Upchurch, Dawn M., Simpson, Tracy, Hamilton, Alison B., Hoggatt, Katherine J.
Source: Social Psychiatry & Psychiatric Epidemiology. Apr2018, Vol. 53 Issue 4, p421-435. 15p.
Subjects: American veterans, Gender differences (Psychology), Drug abuse, Alcohol drinking & health, Children & drugs
Abstract: Purpose: 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).Methods: 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.Results: 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.Conclusions: 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. [ABSTRACT FROM AUTHOR]
Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Differences by Veteran/civilian status and gender in associations between childhood adversity and alcohol and drug use disorders.
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  Data: <searchLink fieldCode="AR" term="%22Evans%2C+Elizabeth+A%2E%22">Evans, Elizabeth A.</searchLink><br /><searchLink fieldCode="AR" term="%22Upchurch%2C+Dawn+M%2E%22">Upchurch, Dawn M.</searchLink><br /><searchLink fieldCode="AR" term="%22Simpson%2C+Tracy%22">Simpson, Tracy</searchLink><br /><searchLink fieldCode="AR" term="%22Hamilton%2C+Alison+B%2E%22">Hamilton, Alison B.</searchLink><br /><searchLink fieldCode="AR" term="%22Hoggatt%2C+Katherine+J%2E%22">Hoggatt, Katherine J.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Apr2018, Vol. 53 Issue 4, p421-435. 15p.
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  Data: <searchLink fieldCode="DE" term="%22American+veterans%22">American veterans</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+differences+%28Psychology%29%22">Gender differences (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+abuse%22">Drug abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol+drinking+%26+health%22">Alcohol drinking & health</searchLink><br /><searchLink fieldCode="DE" term="%22Children+%26+drugs%22">Children & drugs</searchLink>
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  Data: <bold>Purpose: </bold>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).<bold>Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusions: </bold>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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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