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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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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.

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References

  1. Institute of Medicine (IOM) (2013) Substance use disorders in the US armed forces. The National Academies Press, Washington, DC. https://doi.org/10.17226/13441. Accessed 2 May 2017

  2. Lan CW, Fiellin DA, Barry DT et al (2016) The epidemiology of substance use disorders in US Veterans: A systematic review and analysis of assessment methods. Am J Addict 25(1):7–24

    Article  PubMed  Google Scholar 

  3. Hoggatt KJ, Lehavot K, Krenek M, Schweizer CA, Simpson T (2017) Prevalence of substance misuse among US veterans in the general population. Am J Addict 26(4):357–365

    Article  PubMed  Google Scholar 

  4. Substance Abuse and Mental Health Services Administration (SAMHSA) (2016) Results from the 2015 National Survey on Drug Use and Health-Detailed Tables. Substance Abuse and Mental Health Services Administration, Rockville. https://www.samhsa.gov/data/sites/default/files/NSDUH-DetTabs-2015/NSDUH-DetTabs-2015/NSDUH-DetTabs-2015.pdf. Accessed 22 May 2017

  5. Seal KH, Cohen G, Waldrop A et al (2011) Substance use disorders in Iraq and Afghanistan veterans in VA healthcare, 2001–2010: Implications for screening, diagnosis and treatment. Drug Alcohol Depend 116:93–101

    Article  PubMed  Google Scholar 

  6. Greenfield SF, Brooks AJ, Gordon SM et al (2007) Substance abuse treatment entry, retention, and outcome in women: A review of the literature. Drug Alcohol Depend 86(1):1–21

    Article  PubMed  Google Scholar 

  7. Brady KT, Back SE, Greenfield SF (2009) Women and addiction: a comprehensive handbook. The Guilford Press, New York

    Google Scholar 

  8. Najavits LM (2009) Psychotherapies for trauma and substance abuse in women: review and policy implications. Trauma Violence Abuse 10(3):290–298

    Article  PubMed  Google Scholar 

  9. Blosnich JR, Dichter ME, Cerulli C, Batten SV, Bossarte RM (2014) Disparities in adverse childhood experiences among individuals with a history of military service. JAMA Psychiatry 71(9):1041–1048

    Article  PubMed  Google Scholar 

  10. McCauley HL, Blosnich JR, Dichter ME (2015) Adverse childhood experiences and adult health outcomes among veteran and non-veteran women. J Womens Health 24(9):723–729

    Article  Google Scholar 

  11. Woodruff T, Kelty R, Segal DR (2006) Propensity to serve and motivation to enlist among American combat soldiers. Armed Forces Soc 3(32): 366 – 353

  12. Brown GR, McBride L, Bauer MS, Williford WO, Cooperative Studies Program 430 Study Team (2005) Impact of childhood abuse on the course of bipolar disorder: a replication study in US veterans. J Affect Disord 89(1–3):57–67

    Article  PubMed  Google Scholar 

  13. Carroll TD, Currier JM, McCormick WH, Drescher KD (2017) Adverse childhood experiences and risk for suicidal behavior in male Iraq and Afghanistan veterans seeking PTSD treatment. Psychol Trauma Epub ahead of print

  14. LeardMann CA, Smith B, Ryan MA (2010) Do adverse childhood experiences increase the risk of postdeployment posttraumatic stress disorder in US Marines? BMC Public Health 10:437

    Article  PubMed  PubMed Central  Google Scholar 

  15. Lee LO, Aldwin CM, Kubzansky LD et al (2015) Do cherished children age successfully? Longitudinal findings from the Veterans Affairs normative aging study. Psychol Aging 30(4):894–910

    Article  PubMed  PubMed Central  Google Scholar 

  16. Montgomery AE, Cutuli JJ, Evans-Chase M, Treglia D, Culhane DP (2013) Relationship among adverse childhood experiences, history of active military service, and adult outcomes: homelessness, mental health, and physical health. Am J Public Health 103(Suppl 2):S262–S268

    Article  PubMed  PubMed Central  Google Scholar 

  17. Sareen J, Henriksen CA, Bolton SL, Afifi TO, Stein MB, Asmundson GJ (2013) Adverse childhood experiences in relation to mood and anxiety disorders in a population-based sample of active military personnel. Psychol Med 43(1):73–84

    Article  CAS  PubMed  Google Scholar 

  18. US Department of Veteran Affairs (2017) Profile of Veterans: 2015Data from the American Community Survey. Prepared by the National Center for Veterans Analysis and Statistics. https://www.va.gov/vetdata/docs/SpecialReports/Profile_of_Veterans_2015.pdf. Published March 2017. Accessed 22 May 2017

  19. Afifi TO, Henriksen CA, Asmundson GJ, Sareen J (2012) Childhood maltreatment and substance use disorders among men and women in a nationally representative sample. Can J Psychiatry 57(11):677–86

    Article  PubMed  Google Scholar 

  20. Dube SR, Felitti VJ, Dong M, Chapman DP, Giles WH, Anda RF (2003) Childhood abuse, neglect, and household dysfunction and the risk of illicit drug use: the adverse childhood experiences study. Pediatrics 111(3):564 – 72

  21. Felitti VJ, Anda RF, Nordenberg D et al (1998) Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the Adverse Childhood Experiences (ACE) study. Am J Prev Med 14(4):245–258

    Article  CAS  PubMed  Google Scholar 

  22. Choi NG, DiNitto DM, Marti CN, Choi BY (2017) Association of adverse childhood experiences with lifetime mental and substance use disorders among men and women aged 50 + years. Int Psychogeriatr 29(3):359–372

    Article  PubMed  Google Scholar 

  23. Evans EA, Grella CE, Upchurch DM (2017) Gender differences in the effects of childhood adversity on alcohol, drug, and polysubstance-related disorders. Soc Psychiatry Psychiatr Epidemiol (Epub ahead of print)

  24. Green JG, McLaughlin KA, Berglund PA et al (2010) Childhood adversities and adult psychiatric disorders in the national comorbidity survey replication I: associations with first onset of DSM-IV disorders. Arch Gen Psychiatry 67(2):113 – 23

  25. Mullen PE, Martin JL, Anderson JC, Romans SE, Herbison GP (1996) The long-term impact of the physical, emotional, and sexual abuse of children: a community study. Child Abuse Negl 20(1):7–21

    Article  CAS  PubMed  Google Scholar 

  26. Dong M, Anda RF, Dube SR, Giles WH, Felitti VJ (2003) The relationship of exposure to childhood sexual abuse to other forms of abuse, neglect, and household dysfunction during childhood. Child Abuse Negl 27(6):625 – 39

  27. Dube SR, Anda RF, Whitfield CL et al (2005) Long-term consequences of childhood sexual abuse by gender of victim. Am J Prev Med 28(5):430–438

    Article  PubMed  Google Scholar 

  28. Cavanaugh CE, Petras H, Martins SS (2015) Gender-specific profiles of adverse childhood experiences, past year mental and substance use disorders, and their associations among a national sample of adults in the United States. Soc Psychiatry Psychiatr Epidemiol 50(8):1257–1266

    Article  PubMed  PubMed Central  Google Scholar 

  29. Grant BF, Amsbary M, Chu A (2014) Source and Accuracy Statement: National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III). National Institute on Alcohol Abuse and Alcoholism, Rockville

    Google Scholar 

  30. Hasin DS, Grant BF (2016) The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) waves 1 and 2: review and summary of findings. Soc Psychiatry Psychiatr Epidemiol 50(11):1609–1640

    Article  Google Scholar 

  31. Centers for Disease Control and Prevention (CDC) (2014) Summary Health Statistics for US Adults: National Health Interview Survey, 2012. National Center for Health Statistics, Hyattsville

    Google Scholar 

  32. Smith SM, Goldstein RB, Grant BF (2016) The association between post-traumatic stress disorder and lifetime DSM-5 psychiatric disorders among veterans: data from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III). J Psychiatr Res 82:16–22

    Article  PubMed  PubMed Central  Google Scholar 

  33. Grant BF, Goldstein RB, Smith SM et al (2015) The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (AUDADIS-5): reliability of substance use and psychiatric disorder modules in a general population sample. Drug Alcohol Depend 148:27–33

    Article  PubMed  Google Scholar 

  34. Grant BF, Goldstein RB, Saha TD et al (2015) Epidemiology of DSM-5 alcohol use disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions-III. JAMA Psychiatry 72(8):757–66

    Article  PubMed  PubMed Central  Google Scholar 

  35. Grant BF, Saha TD, Ruan WJ et al (2016) Epidemiology of DSM-5 drug use disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions-III. JAMA Psychiatry 73(1):39–47

    Article  PubMed  PubMed Central  Google Scholar 

  36. Straus MA, Hamby SL, Boney-McCoy S, Sugarman DB (1996) The revised Conflict Tactics Scales (CTS2): development and preliminary psychometric data. J Fam Issues 17(3):283–316

    Article  Google Scholar 

  37. Bernstein DP, Fink L, Handelsman L et al (1994) Initial reliability and validity of a new retrospective measure of child abuse and neglect. Am J Psychiatry 151(8):1132–1136

    Article  CAS  PubMed  Google Scholar 

  38. McLaughlin KA, Conron KJ, Koenen KC, Gilman SE (2010) Childhood adversity, adult stressful life events, and risk of past-year psychiatric disorder: a test of the stress sensitization hypothesis in a population-based sample of adults. Psychol Med 40(10):1647–1658

    Article  CAS  PubMed  Google Scholar 

  39. Myers B, McLaughlin KA, Wang S, Blanco C, Stein DJ (2014) Associations between childhood adversity, adult stressful life events, and past-year drug use disorders in the National Epidemiological Study of Alcohol and Related Conditions (NESARC). Psychol Addict Behav 28(4):1117–1126

    Article  PubMed  PubMed Central  Google Scholar 

  40. Hernán MA, Robins JM (2016). Causal Inference. Boca Raton: Chapman & Hall/CRC, forthcoming. https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/. Accessed 2 May 2017

  41. Wechsberg WM, Deren S, Myers B et al (2015) Gender-specific HIV prevention interventions for women who use alcohol and other drugs: the evolution of the science and future directions. J Acquir Immune Defic Syndr 69(Suppl 2):S128–S139

    Article  PubMed  PubMed Central  Google Scholar 

  42. Institute of Medicine (IOM) (2014). Capturing social and behavioral domains in electronic health records: phase 1. The National Academies Press, Washington, DC. https://doi.org/10.17226/18709. Accessed October 8, 2017

  43. Ames G, Cunradi C (2017) Alcohol use and preventing alcohol-related problems among young adults in the military. National Institute on Alcohol Abuse and Alcoholism. https://pubs.niaaa.nih.gov/publications/arh284/252-257.htm. Accessed 22 May 2017

  44. Jacobson IG, Ryan MAK, Hooper TI et al (2008) Alcohol use and alcohol-related problems before and after military combat deployment. JAMA 300(6):663–675

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Jenness JL, McLaughlin KA (2015) Towards a person-centered approach to the developmental psychopathology of trauma. Soc Psychiatry Psychiatr Epidemiol 50(8):1219–1221

    Article  PubMed  PubMed Central  Google Scholar 

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Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elizabeth A. Evans.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Ethical approval

This study was approved by the appropriate ethics committee and has, therefore, been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.

Additional information

Dr. Hoggatt’s effort was funded through a VA HSR&D QUERI Career Development Award (Project #CDA 11-261; VA HSR&D, Washington, DC) at the VA Greater Los Angeles Healthcare System.

Appendices

Appendix 1

See Table 4.

Table 4 Era of active US military duty among Veterans by gender, NESARC-III weighted data (n = 3119)

Appendix 2: Operationalization of key variables

Alcohol and drug use disorders (AUD, DUD)

Lifetime AUD diagnoses required at least 2 of the 11 DSM-5 criteria in the past year or prior to the past year [34]. Diagnoses before the past year required clustering of at least two criteria within a 1-year period [34]. DUD included sedative or tranquilizer, cannabis, amphetamine, cocaine, club drug (e.g., ecstasy, ketamine), nonheroin opioid, heroin, hallucinogen, and solvent/inhalant [35]. Tobacco use disorders were omitted. Consistent with DSM-5, lifetime DUD diagnoses required at least 2 of the 11 criteria arising from use of the same substance in the past year or prior to the past year [35]. Diagnoses before the past year required clustering of at least 2 criteria for the same drug within a 1-year period [35].

Childhood adversity

NESARC assessed adverse childhood events occurring before age 18 using questions that were a subset of items from the Conflict Tactics Scale [36] and the Childhood Trauma Questionnaire [37]. Respondents were asked to respond to all questions pertaining to abuse or neglect (except emotional neglect) on a five-point scale (never, almost never, sometimes, fairly often, or very often). Emotional neglect questions employed an alternative five-point scale of never true, rarely true, sometimes true, often true, or very often true. All questions pertaining to general household dysfunction required yes/no responding (except questions regarding having a battered mother, which used the same scale as for the items on abuse or neglect) (Table 5).

Table 5 Operationalization of childhood adversity

We considered 11 types of childhood adversity, which we defined to be consistent with definitions employed in the Adverse Childhood Experiences study [20, 26] and epidemiological research on childhood adversity [19, 23].

Physical abuse was defined as a response of “sometimes” or greater to either question when asked how often a parent or other adult living in the respondent’s home (1) pushed, grabbed, shoved, slapped, or hit the respondent; or (2) hit the respondent so hard it left marks or bruises, or caused an injury.

Emotional abuse was identified as a response of “fairly often” or “very often” to any question when asked how often a parent or other adult living in the respondent’s home (1) swore at, insulted, or said hurtful things to the respondent; (2) threatened to hit or throw something at the respondent (but did not do it); or (3) acted in any other way that made the respondent afraid he/she would be physically hurt or injured.

Sexual abuse was examined using four questions that examined the occurrence of sexual touching or fondling, attempted intercourse, or actual intercourse by any adult or other person when the respondent did not want the act to occur or was too young to understand what was happening. Any response other than “never” on any of the questions was coded as sexual abuse.

Physical neglect was defined as any response other than “never” to five questions that asked about experiences of being made to do difficult or dangerous chores, being left unsupervised when too young to care for self or going without needed clothing, school supplies, food, or medical treatment.

Emotional neglect was defined by five questions asking whether respondents felt a part of a close-knit family or whether anyone in the family of origin made the respondent feel special, wanted the respondent to succeed, believed in the respondent, or provided strength and support. Following prior research, the five items were reverse-scored and summed; scores of 15 or greater were coded as emotional neglect [19, 20, 26].

Parental substance abuse was a form of household dysfunction that was assessed with two questions asking whether a parent or other adult living in the home had a problem with alcohol or drugs. A response of “yes” to either question was defined as parental substance abuse.

To characterize the history of having a battered mother, respondents were asked whether the respondent’s father, stepfather, foster/adoptive father, or mother’s boyfriend had ever done any of the following to the respondent’s mother, stepmother, foster/adoptive mother, or father’s girlfriend: (1) pushed, grabbed, slapped, or threw something at her; (2) kicked, bit, hit with a fist, or hit her with something hard; (3) repeatedly hit her for at least a few minutes; or (4) threatened to use or actually used a knife or gun on her. Any response of “sometimes” or greater for questions 1 or 2, or any response except “never” for questions 3 or 4, was defined as having a battered mother.

For the other measures of household dysfunction, respondents were asked to answer with either “yes” or “no” whether a parent or other adult in the home (1) went to jail or prison; (2) was treated or hospitalized for mental illness; (3–4) attempted or actually committed suicide. A response of “yes” to any of these questions was coded as household dysfunction.

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Evans, E.A., Upchurch, D.M., Simpson, T. et al. Differences by Veteran/civilian status and gender in associations between childhood adversity and alcohol and drug use disorders. Soc Psychiatry Psychiatr Epidemiol 53, 421–435 (2018). https://doi.org/10.1007/s00127-017-1463-0

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