Abstract
Military service members are at high risk for problematic substance use compared to the general population; deployment and combat exposure further increases this risk. It is thus critical to identify resiliency factors that can buffer the negative effects of military experiences and potentially prevent problematic alcohol use. The current research examines the extent to which psychological hardiness predicts lower risk of problematic alcohol use, and explores potential sex differences in this association. Data are from Operation: SAFETY, an ongoing study of US Army Reserve/National Guard soldiers. Negative binomial regression models examined the relation between baseline hardiness, assessed by the 15-item Dispositional Resiliency Scale, and problematic alcohol use at the 1-year follow-up, assessed by the Alcohol Use Disorders Identification Test (N = 260), controlling for baseline combat exposure (Combat Exposure subscale, DRRI-2) and baseline quantity and frequency of alcohol use. To examine the impact of hardiness on men and women, models were stratified by sex. In final, adjusted models, hardiness predicted lower risk of problematic alcohol use (Adjusted risk ratio [ARR] = 0.98; p < 0.05) for male soldiers, and was unrelated to alcohol use for female soldiers (ARR = 1.01; p > 0.05). Post-hoc analyses explored the impact of each dimension of hardiness (i.e., commitment, control, and challenge) on problematic alcohol use. Hardiness assessment may complement existing screening tools to identify high-risk populations; interventions to promote hardiness may help in preventing problematic alcohol use, particularly among male soldiers.
Keywords: problematic alcohol use, resilience, psychological hardiness, military, sex differences
Individuals working in high-stress occupations, especially those with exposure to traumatic events, are at an increased risk of substance use (Kaufmann, Rutkow, Spira, & Mojtabai, 2013). In particular, substance use is one of the most common health problems among military personnel, with studies reporting Substance Use Disorder in 11% of military service members using Veterans Affairs healthcare (Seal et al., 2011). Alcohol Use Disorder, specifically, is also prevalent, with a recent meta-analysis reporting a pooled prevalence of 14.5% among Reserve component service members, compared to 11.7% among active duty service members (Cohen, Fink, Sampson, & Galea, 2015). There is robust evidence demonstrating a relationship between deployment and/or combat exposure and problematic alcohol use in military populations (Bray & Hourani, 2007; Fillo, Cercone Heavey, Homish, & Homish, 2018; Green, Beckham, Youssef, & Elbogen, 2014; Hoge, Auchterlonie, & Milliken, 2006; Hoopsick, Vest, Homish, & Homish, 2018; Jacobson et al., 2008; Milliken, Auchterlonie, & Hoge, 2007; Wright, Foran, Wood, Eckford, & McGurk, 2012). Indeed, studies have found evidence for both new-onset and increased heavy drinking, binge drinking, and associated problems following deployment (Jacobson et al., 2008; Seal et al., 2011). These increases in drinking are thought to be a maladaptive coping response to internalizing symptoms, including depression, anxiety, and posttraumatic stress disorder (PTSD) (Wright et al., 2012). As a result, much of the literature on alcohol use among military service members to date has focused on identifying pre-deployment factors and deployment-related experiences, such as combat exposure (Jacobson et al., 2008), military sexual trauma (Fillo et al., 2018), and service members’ perceptions of their combat experiences (Vest, Homish, Hoopsick, & Homish, 2018) that may increase individual risk of alcohol use. However, it is also important to investigate factors that may be protective for high-stress groups like the military.
Previous literature suggests that there may be important protective factors that buffer the effects of combat exposure on mental health and alcohol use (Brailey, Vasterling, Proctor, Constans, & Friedman, 2007; Goldmann et al., 2012; Polusny et al., 2011; Vest et al., 2018). For example, studies have identified individual protective factors, such as how military service members perceive combat threats (Vest et al., 2018), and interpersonal factors, such as marital functioning (Vest et al., 2018). Limited evidence also suggests the important role of resilience (Bartone, Hystad, Eid, & Brevik, 2012; Bartone, Johnsen, Eid, Hystad, & Laberg, 2016; Rudzinski, McDonough, Gartner, & Strike, 2017), and represents an alternative strengths-based approach to substance use research (Rudzinski et al., 2017). Strengths-based approaches, or resiliency paradigms, shift emphasis from negative factors that contribute to poor outcomes to focus on enhancing positive factors (Zimmerman, 2013). Further research is needed to better understand the role of resiliency, especially for high-risk military subgroups like Reserve and National Guard service members.
Resiliency theory suggests that resilient individuals are able to overcome hardship (i.e., “bounce back”), despite facing stressful situations (Richardson, 2002; Wooten, 2013). Resiliency has been conceptualized and assessed in a variety of ways (Connor & Davidson, 2003; Duckworth & Quinn, 2009; Eskreis-Winkler, Shulman, Beal, & Duckworth, 2014). Dispositional resiliency, or psychological hardiness, is the way in which a person approaches and interprets experiences. This construct is often described in terms of three separate, but closely-related, dispositional tendencies: (1) commitment, (2) control, and (3) challenge (Bartone, Ursano, Wright, & Ingraham, 1989). Individuals higher in hardiness tend to have a high sense of commitment to life and work, greater feelings of control, are generally more open to change and life challenges, and tend to interpret stressful experiences as a normal aspect of life (Bartone, 1999).
Previous research suggests that hardiness is particularly important to consider in military populations. Specifically, work by Bartone and colleagues (Bartone, 1999) demonstrated that psychological hardiness protects against the effects of war-related stressors (e.g., threat of enemy attack, exposure to death, caring for the traumatically injured) among Army Reserve soldiers. Hardiness has been shown to buffer the impact of deployment-related stressors on mental health symptoms (Wooten, 2012), and acts as a mediator between avoidance coping and PTSD symptoms (Thomassen, Hystad, Johnsen, Johnsen, & Bartone, 2018). Importantly, hardiness has also been shown to be inversely related to alcohol abuse (Bartone, Hystad, Eid, & Brevik, 2012; Bartone, Johnsen, Eid, Hystad, & Laberg, 2016; Eisen et al., 2014) and moderates the relationship between stress and problematic alcohol use (Morgan, Brown, & Bray, 2018).
Notably, responses to stressful or traumatic life events may differ among men and women. For example, Tedeschi and Calhoun (1996) found that women reported greater positive growth (e.g., in relating to others, appreciation of life) in response to trauma compared to men. Research with a peacekeeping military sample also reports that women derive more benefits (e.g., better at dealing with stress, recognizing the importance of family) from deployment compared to men (Britt, Adler, & Bartone, 2001). The effects of psychological hardiness, specifically, may also differ by sex; however, findings have been mixed. In a sample of police officers, hardiness had a stronger protective effect against psychological distress for women compared to men (Andrew et al., 2013). In contrast, findings from a community sample of university employees demonstrated that hardiness moderated the effects of stress on illness for men, but not women (Klag & Bradley, 2004). It is unclear if these differences in hardiness between men and women will exist among a military sample, or in the context of problematic alcohol use.
Taken together, previous research demonstrates the utility of examining psychological hardiness among military populations, but underscores the need for additional research, especially with respect to potential sex differences. Previous work has examined the influence of hardiness on alcohol use among mixed samples in active duty and Reserve service members (Eisen et al., 2014; Green, Beckham, Youssef, & Elbogen, 2013). However, we are unaware of any work focusing specifically on differences in alcohol use outcomes by sex exclusively among Reserve and National Guard service members. Reserve and National Guard components make up a large proportion of the US military (38.3%; Defense Manpower Data Center, 2017), but their experiences have been examined far less frequently than those of active duty personnel. Research focused on this population is particularly important given that Reserve and National Guard service members are at greater risk for substance abuse compared to their active duty counterparts (Cohen, Fink, Sampson, & Galea, 2015; Griffith, 2010; Milliken et al., 2007), despite having similar deployment and/or combat experiences (Cohen, et al., 2015; Thomas et al., 2010). The potential effect of hardiness on problematic alcohol use, among Reserve and National Guard service members, and how it may differ by sex, represents an important area of research that has not been fully explored.
The Current Study
This research aims to fill this critical gap in the literature by examining (a) the extent to which higher levels of hardiness may buffer service members from future problematic alcohol use, and (b) potential sex differences in these associations, among a sample of previously deployed US Army Reserve and National Guard (USAR/NG) soldiers. Given that women often respond to stressful situations with more positive growth compared to men (Britt et al., 2001; Tedeschi & Calhoun, 1996), and the differential effects of hardiness on psychological outcomes among law enforcement personnel (Andrew et al., 2013), we hypothesize that the protective effects of hardiness will be stronger for women compared to men.
Method
Participants and Procedure
Data were drawn from Operation: SAFETY, an ongoing longitudinal study focused on the health of USAR/NG soldiers and their spouses/partners. Soldiers and their partners were recruited from units across New York State, and were screened on six inclusion criteria: (1) the couple is married or living as if married; (2) one member of the couple is a current Army Reserve Soldier or National Guard Soldier; (3) the soldier is between the ages of 18 and 45; (4) both partners are able to speak and understand English; (5) both partners are willing and able to participate; and (6) both partners have had at least one alcoholic beverage in the past year. Additional details on the study methods have been described elsewhere (Devonish et al., 2017; Heavey, Homish, Devonish, Goodell, & Homish, 2017; Hoopsick, Fillo, Vest, Homish, & Homish, 2017). The University at Buffalo as well as the Army Human Research Protections Office, Office of the Chief, Army Reserve and the Adjutant General of the National Guard approved the study protocol.
This work focused on a subsample of 260 current or previous soldiers who reported at least one deployment prior to the baseline assessment and completed both the baseline and 1 year follow-up assessments. The average age of male participants (n = 229) at baseline was 33.5 (standard deviation [SD] = 6.0) years and 32.8 (SD = 4.6) years for females (n = 31). Most participants were non-Hispanic white (males: 81.2%, n = 186; females: 74.2%, n = 23), with some college education (males: 59.8%, n = 137; females: 45.2%, n = 14) or a college degree (males: 26.6%, n = 61; females: 51.6%, n = 16) at baseline. At baseline, the majority of participants (males: 76.9%, n = 176; females: 77.4%, n = 24) were married, with the remainder living as if married.
Measures
Problematic Alcohol Use.
The Alcohol Use Disorders Identification Test (AUDIT) assessed problematic alcohol use at first follow-up (Saunders, Aasland, Babor, de la Fuente, & Grant, 1993). The AUDIT consists of 10 items rated on a four-point scale from 0 (never) to 4 (daily or almost daily), with scores ranging from 0 – 40. The current analyses used AUDIT total scores at first follow-up assessment as the outcome (αmales = 0.76; αfemales = 0.80).
Alcohol Use.
Quantity and frequency of alcohol use were assessed, at baseline, using an adapted version of the Alcohol Quantity Frequency Index (QFI-Self) (Straus & Bacon, 1953). This measure consisted of two items calculated as the percent of days that alcohol was consumed in the last 12 months multiplied by the number of drinks typically consumed during a drinking episode. Higher scores indicate greater drinking.
Hardiness.
The 15-item Dispositional Resiliency Scale (DRS-15) (Bartone, 1999; Bartone, 2007) assessed hardiness at baseline. The measure includes subscales for commitment, control, and challenge, and participant responses range from 0 (not true at all) to 3 (completely true), with scores ranging from 0 – 45. Example items include: “Most of my life gets spent doing things that are meaningful” (commitment); “By working hard you can nearly always achieve your goals” (control); “I enjoy the challenge when I have to do more than one thing at a time” (challenge). The measure has good internal consistency reliability (αmales = 0.79; αfemales = 0.78).
Combat Exposure.
The Combat Exposure subscale of the Deployment Risk and Resilience Inventory-2 (DRRI-2) assessed combat exposure from the most recent deployment prior to baseline (Eisen et al., 2012). It measures the frequency with which participants encountered 17 objective events or circumstances on their most recent deployment with responses ranging from 1 (never) to 6 (daily). Higher scores indicate greater combat exposure. Reliability for this scale was high in this sample (αmales = 0.94; αfemales = 0.90).
Sex.
Participants self-reported their sex at baseline.
Analytic Approach
Descriptive statistics were used to characterize the sample. Negative binomial regression models examined the relation between hardiness at baseline and problematic alcohol use (AUDIT) at one year follow-up. Because the association between combat exposure and substance use has been previously established (Bray & Hourani, 2007; Green et al., 2014; Seal et al., 2011), models controlled for baseline combat exposure (Gardner, Mulvey, & Shaw, 1995). Combat exposure was grand mean centered to enhance the interpretability of the model intercept, without changing the significance of the main effects. Additionally, models controlled for quantity and frequency of alcohol use at baseline. Adjusted risk ratios (ARR) and 95% confidence intervals (CI) are reported. To examine if the impact of hardiness differed by sex, adjusted models were run stratified by sex. Post-hoc analyses additionally explored the differences by sex in the impact of each of the three dimensions of hardiness (i.e., commitment, control, and challenge) on problematic alcohol use.
Results
Descriptive Results
On average, males had an AUDIT score of 5.1 (SD = 4.1) at baseline and 4.8 (SD = 4.1) at follow-up; females had a mean score of 3.4 (SD = 3.1) at baseline and 3.0 (SD = 2.8) at follow-up. Approximately 19% (n = 44) of men and 6% (n = 2) of women had alcohol use scores at follow-up that were at or above the cut-point of 8, indicative of problematic drinking (Babor, Higgins-Biddle, Saunders, & Monteiro, 2001). Whereas all soldiers had deployed at least once prior to baseline, almost half of males (44.1%; n = 101) and more than one-third of females (35.5%; n = 11) had deployed two or more times. One male soldier (0.4%) was deployed during baseline study collection. Baseline, uncentered combat exposure scores were 32.7 (SD = 16.6) for males and 23.1 (SD = 8.7) for females. Most soldiers (86.0% of males, 77.4% of females) reported some experience with combat-related, objective events or circumstances on their most recent deployment. Baseline mean hardiness scores were 31.5 (SD = 5.6; range 16 – 44) for males and 31.8 (SD = 4.4; range 23 – 41) for females. Hardiness scores for the sample ranged from 16 to 44, which is consistent with those of other military samples (Bartone et al., 2016).
Focal Analyses
Analyses examined the extent to which hardiness, at baseline, predicted problematic alcohol use at the 1 year follow-up. In the unadjusted model, greater levels of hardiness were associated with less problematic alcohol use for males (RR = 0.98; CI: 0.96, 0.99, p < 0.01), although not for females (RR = 1.04; CI: 0.98, 1.11, p = 0.16). In adjusted models, results also revealed differential significant main effects of hardiness by participant sex (Tables 1, 2). Adjusted models controlled for average levels of combat exposure and quantity and frequency of alcohol use at baseline. In adjusted models, greater hardiness was predictive of less problematic alcohol use for males (ARR = 0.98; 95% CI: 0.97, 0.99; p < 0.05; Table 1), but not for females (ARR: 0.1.01; 95% CI: 0.95, 1.06; p = 0.81; Table 2).
Table 1.
Adjusted main effects model for problematic alcohol use at one year follow-up, among previously deployed current/former male USAR/NG soldiers
| Main effects | ARR | 95% Lower | 95% Upper |
|---|---|---|---|
| Hardiness (baseline) | 0.98* | 0.97 | 0.99 |
| Combat exposure (baseline) | 1.00 | 1.00 | 1.01 |
| Alcohol QFI (baseline) | 1.41*** | 1.27 | 1.56 |
Note: USAR/NG = U.S. Army Reserve and National Guard; ARR = Adjusted Risk Ratio; QFI = Quantity Frequency Index.
Boldface indicates statistical significance (*p < .05; ***p < .001)
Table 2.
Adjusted main effects model for problematic alcohol use at one year follow-up, among previously deployed current/former female USAR/NG soldiers
| Main effects | ARR | 95% Lower | 95% Upper |
|---|---|---|---|
| Hardiness (baseline) | 1.01 | 0.95 | 1.06 |
| Combat exposure (baseline) | 0.98 | 0.95 | 1.02 |
| Alcohol QFI (baseline) | 1.60** | 1.23 | 2.09 |
Note: USAR/NG = U.S. Army Reserve and National Guard; ARR = Adjusted Risk Ratio; QFI = Quantity Frequency Index.
Boldface indicates statistical significance (**p < .01)
Dimensions of hardiness
Looking at the hardiness facets, the results for the dimension of commitment was consistent with the findings for hardiness overall. Higher levels of commitment were associated with lower levels of problematic alcohol use among males (p < 0.01), but were unrelated to problematic alcohol use for females (p = 0.80; Table 3). The hardiness dimensions of control and challenge at baseline were not significantly related to problematic alcohol use for either males or females at follow up (see Table 3).
Table 3.
Adjusted risk ratio models for problematic alcohol use at one year follow-up, by dimension of hardiness, among previously deployed current/former USAR/NG soldiers
| Commitment | Control | Challenge | |
|---|---|---|---|
| Males | ARR (95% CI) | ARR (95% CI) | ARR (95% CI) |
| Hardiness dimension (baseline) | 0.95** (0.91, 0.98) | 0.98 (0.94, 1.01) | 0.98 (0.95, 1.01) |
| Combat exposure (baseline) | 1.00 (0.99, 1.01) | 1.00 (1.00, 1.01) | 1.00 (1.00, 1.01) |
| Alcohol QFI (baseline) | 1.40*** (1.27, 1.55) | 1.42*** (1.28, 1.57) | 1.42*** (1.28, 1.58) |
| Females | ARR (95% CI) | ARR (95% CI) | ARR (95% CI) |
| Hardiness dimension (baseline) | 1.02 (0.90, 1.15) | 1.03 (0.89, 1.19) | 1.00 (0.90, 1.10) |
| Combat exposure (baseline) | 0.98 (0.95, 1.02) | 0.98 (0.95, 1.02) | 0.98 (0.95, 1.02) |
| Alcohol QFI (baseline) | 1.60** (1.23, 2.09) | 1.60*** (1.25, 2.06) | 1.63** (1.27, 2.09) |
Note: USAR/NG = U.S. Army Reserve and National Guard; ARR = Adjusted Risk Ratio; 95% CI = 95% Confidence Interval; QFI = Quantity Frequency Index.
Boldface indicates statistical significance (**p < .01; ***p < .001)
Discussion
Given that over 1 million individuals are enlisted in a Reserve component (trained and qualified to be called to active duty) of the US military (Office of the Deputy Assistant Secretary of Defense, 2016), it is critical to develop a greater understanding of the factors that contribute to resiliency in this population. To date, there is no literature examining the role of hardiness on alcohol use exclusively among Reserve and National Guard service members, despite the promising role hardiness may play in buffering problematic alcohol use. Our findings, consistent with other evidence (Bartone et al., 2012; Bartone et al., 2016; Eisen et al., 2014), demonstrate a protective effect of baseline hardiness on problematic alcohol use among males at one year follow-up.
This research contributes to the literature by evaluating potential sex differences in the effects of hardiness. Findings revealed that greater hardiness was protective against problematic alcohol use among men, but was unrelated to women’s problematic alcohol use. Though previous research on the effects of hardiness by sex are mixed (Andrew et al., 2013; Klag & Bradley, 2004), seeing no effect for females was somewhat unexpected, given that females have shown more positive growth compared to males and exhibit protective factors following trauma, such as the ability to relate to others and/or experience increased appreciation for life (Britt et al., 2001; Tedeschi & Calhoun, 1996); our study, however, did not assess changes in resilience. Further, a study looking at hardiness and sex differences among law enforcement personnel found that the commitment dimension of hardiness had a stronger protective effect against psychological distress for women than men (Andrew et al., 2013). This was somewhat in opposition to our findings, where higher levels of commitment were protective against problematic alcohol use among males, but not females. The difference in findings may be attributable to differences between military and civilian occupational groups. Consistent with our findings, Klag and colleagues (2004) found that hardiness buffered the effects of stress on illness for males, but not for females. These authors suggest the difference between sexes may be due to the development of this measure among a sample of males (Klag & Bradley, 2004; Kobasa, 1979), and it may be unintentionally incorporating gender biases into the existing subscales (Klag & Bradley, 2004).
It is also possible that the protective effects of hardiness for females are being washed out by other constructs not examined here, such as the “healthy warrior effect.” According to this idea, military service members with poorer mental health are less likely to be deployed (Wilson et al., 2009); thus, these individuals would not be captured in this sample of previously deployed service members. This may leave a relatively homogenous sample of combat-exposed female service members with not enough variability among them to delineate the effects of hardiness on problematic alcohol use, though this is speculative. The “healthy warrior effect” may also be a factor effecting the males in our sample, although the women in this sample did have a more narrow range of hardiness scores compared to the men. For men, the sample may have been large enough (n = 229), and therefore more diverse, to examine these differential effects. Finally, the effect for men and women may be related to this specific sample, as there were a limited number of females who deployed (n = 31). Thus, the statistical power for female soldiers was low. Understanding the relation between hardiness and sex will be important to consider in future research efforts, as the number of service women taking on deployment and combat roles continues to increase. Further research is needed to thoroughly examine these relations and the conditions under which they may occur.
With emerging evidence of the protective role of resilience, the need for resilience training programs is being recognized (Eisen et al., 2014). For example, the Warrior Resilience and Thriving program, developed by the U.S. Army, utilizes rational emotive behavior therapy to increase soldier resiliency (Jarrett, 2013). While qualitative evidence supports the program’s effectiveness, it did not assess hardiness using any formal metrics (e.g., DRS-15) (Jarrett, 2013). Given the significant findings in relation to the commitment dimension of hardiness, wherein greater commitment was protective against problematic alcohol use for males, future resilience training programs may wish to focus on increasing the commitment component of hardiness, specifically. It is important for any future resiliency training programs to conduct formalized process, impact, and outcome evaluations to best determine the program’s success at increasing soldier resilience.
Widespread distribution of effective interventions could improve the health outcomes of service members (Eisen et al., 2014). Interventions that capitalize on the availability of advanced technology may be a promising avenue for the dissemination of resiliency training programs. A pilot study explored the use of a smart-phone based application (“app”) to deliver an intervention designed to promote resilience (Roy, Highland, & Costanzo, 2015); however, a measure of hardiness was not included in their project (Roy et al., 2015). Formalized measures of hardiness will be necessary to provide evidence of increasing this construct using smart-phone and other advanced technologies.
Limitations
This research has some limitations. The exclusive use of USAR/NG soldiers limits generalizability to other branches of the military. However, this population makes up 60% of the Ready Reserve (Office of the Deputy Assistant Secretary of Defense, 2016) and are at increased risk for substance use problems (Seal, Bertenthal, Miner, Sen, & Marmar, 2007; Seal et al., 2011) and they represent a high-risk, but understudied population. As previously mentioned, there was a small sample of female service members, resulting in reduced statistical power for female soldiers. Problematic alcohol use was not clinically verified, though the AUDIT is a well-validated tool for assessing problematic alcohol use. Despite these limitations, this study provides novel information on the protective effects of psychological hardiness on longitudinal problematic alcohol use among USAR/NG soldiers.
Conclusions
It is important to identify resilience factors that protect against stress and negative health outcomes commonly experienced by military service members. Our findings indicate that male USAR/NG soldiers may benefit from a protective effect of psychological hardiness against problematic alcohol use. Hardiness measures may complement existing screening tools to identify high-risk populations, but additional research is needed to better understand the relation between hardiness and problematic alcohol use, especially among female USAR/NG soldiers.
Funding details:
This work was supported by the National Institute on Drug Abuse of the National Institutes of Health under award number R01DA034072 (G. Homish); National Center for Advancing Translational Sciences of the National Institutes of Health under award number UL1TR001412 to the University at Buffalo; Health Resources and Services Administration award number T32HP30035 (PI: L. Kahn) in support of JAK; National Institute on Alcohol Abuse and Alcoholism award number T32AA007583 (PI: K. Leonard) and K01AA027547 (PI: J. Fillo) in support of JF. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
Financial disclosure: The authors have no conflicts of interest to disclose.
Contributor Information
Jessica A. Kulak, Buffalo State College.
COL (retired) Paul T. Bartone, Institute for National Strategic Studies, National Defense University.
Gregory G. Homish, University at Buffalo.
REFERENCES
- Andrew ME, Mnatsakanova A, Howsare JL, Hartley TA, Charles LE, Burchfiel CM, … Violanti JM (2013). Associations between protective factors and psychological distress vary by gender: the Buffalo Cardio-Metabolic Occupational Police Stress Study. International Journal of Emergency Mental Health, 15(4), 277–288. [PMC free article] [PubMed] [Google Scholar]
- Babor TF, Higgins-Biddle JC, Saunders JB, & Monteiro MG (2001). AUDIT: The alcohol use disorders identification test: Guidelines for use in primary care: Department of mental health and substance dependence. World Health Organization. [Google Scholar]
- Bartone PT (1999). Hardiness protects against war-related stress in Army Reserve forces. Consulting Psychology Journal: Practice and Research, 51(2), 72. [Google Scholar]
- Bartone PT (2007). Test-retest reliability of the dispositional resilience scale-15, a brief hardiness scale. Psychological Reports, 101(3 Pt 1), 943–944. doi: 10.2466/pr0.101.3.943-944 [DOI] [PubMed] [Google Scholar]
- Bartone PT, Hystad SW, Eid J, & Brevik JI (2012). Psychological hardiness and coping style as risk/resilience factors for alcohol abuse. Military Medicine, 177(5), 517–524. [DOI] [PubMed] [Google Scholar]
- Bartone PT, Johnsen BH, Eid J, Hystad SW, & Laberg JC (2016). Hardiness, avoidance coping, and alcohol consumption in war veterans: A moderated-mediation study. Stress and Health, 33(5): 498–507. doi: 10.1002/smi.2734. Epub 2016 Nov 24. [DOI] [PubMed] [Google Scholar]
- Bartone PT, Ursano RJ, Wright KM, & Ingraham LH (1989). The impact of a military air disaster on the health of assistance workers. A prospective study. The Journal of Nervous and Mental Disease, 177(6), 317–328. [DOI] [PubMed] [Google Scholar]
- Brailey K, Vasterling JJ, Proctor SP, Constans JI, & Friedman MJ (2007). PTSD symptoms, life events, and unit cohesion in US soldiers: baseline findings from the neurocognition deployment health study. Journal of Traumatic Stress, 20(4), 495–503. [DOI] [PubMed] [Google Scholar]
- Bray RM, & Hourani LL (2007). Substance use trends among active duty military personnel: findings from the United States Department of Defense Health Related Behavior Surveys, 1980–2005. Addiction, 102(7), 1092–1101. doi: 10.1111/j.1360-0443.2007.01841.x [DOI] [PubMed] [Google Scholar]
- Britt TW, Adler AB, & Bartone PT (2001). Deriving benefits from stressful events: the role of engagement in meaningful work and hardiness. Journal of Occupational Health Psychology, 6(1), 53–63. [DOI] [PubMed] [Google Scholar]
- Cohen GH, Fink DS, Sampson L, & Galea S (2015). Mental health among reserve component military service members and veterans. Epidemiological Reviews, 37, 7–22. doi: 10.1093/epirev/mxu007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Connor KM, & Davidson JR (2003). Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18(2), 76–82. doi: 10.1002/da.10113 [DOI] [PubMed] [Google Scholar]
- Defense Manpower Data Center. (2017). Counts of Active Duty and Reserve Service Members and APF Civilians. Retrieved from https://www.dmdc.osd.mil/appj/dwp/rest/download?fileName=DMDC_Website_Location_Report_1612.xlsx&groupName=milRegionCountry
- Devonish JA, Homish DL, Vest BM, Daws RC, Hoopsick RA, & Homish GG (2017). The impact of military service and traumatic brain injury on the substance use norms of Army Reserve and National Guard Soldiers and their spouses. Addictive Behaviors, 72, 51–56. doi: 10.1016/j.addbeh.2017.03.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duckworth AL, & Quinn PD (2009). Development and validation of the short grit scale (grit-s). Journal of Personality Assessment, 91(2), 166–174. doi: 10.1080/00223890802634290 [DOI] [PubMed] [Google Scholar]
- Eisen SV, Schultz MR, Glickman ME, Vogt D, Martin JA, Osei-Bonsu PE, … Elwy AR (2014). Postdeployment resilience as a predictor of mental health in Operation Enduring Freedom/Operation Iraqi Freedom returnees. American Journal of Preventive Medicine, 47(6), 754–761. doi: 10.1016/j.amepre.2014.07.049 [DOI] [PubMed] [Google Scholar]
- Eisen SV, Schultz MR, Vogt D, Glickman ME, Elwy AR, Drainoni M-L, … Martin J (2012). Mental and physical health status and alcohol and drug use following return from deployment to Iraq or Afghanistan. American Journal of Public Health, 102(Suppl 1), S66–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eskreis-Winkler L, Shulman EP, Beal SA, & Duckworth AL (2014). The grit effect: predicting retention in the military, the workplace, school and marriage. Frontiers in Psychology, 5, 36. doi: 10.3389/fpsyg.2014.00036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fillo J, Cercone Heavey S, Homish DL, & Homish GG (2018). Deployment-Related Military Sexual Trauma Predicts Heavy Drinking and Alcohol Problems among Male Reserve and National Guard Soldiers. Alcoholism: Clinical & Experimental Research, 42(1), 111–119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gardner W, Mulvey EP, & Shaw EC (1995). Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. Psychological Bulletin, 118(3), 392–404. [DOI] [PubMed] [Google Scholar]
- Goldmann E, Calabrese JR, Prescott MR, Tamburrino M, Liberzon I, Slembarski R, … Galea S (2012). Potentially modifiable pre-, peri-, and postdeployment characteristics associated with deployment-related posttraumatic stress disorder among ohio army national guard soldiers. Annals of Epidemiology, 22(2), 71–78. doi: 10.1016/j.annepidem.2011.11.003 [DOI] [PubMed] [Google Scholar]
- Green KT, Beckham JC, Youssef N, & Elbogen EB (2014). Alcohol misuse and psychological resilience among U.S. Iraq and Afghanistan era veterans. Addictive Behaviors, 39(2), 406–413. doi: 10.1016/j.addbeh.2013.08.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Griffith J (2010). Citizens Coping as Soldiers: A Review of Deployment Stress Symptoms Among Reservists. Military Psychology, 22(2), 176–206. doi: 10.1080/08995601003638967 [DOI] [Google Scholar]
- Heavey SC, Homish DL, Devonish J, Goodell EMA, & Homish GG (2017). Peer networks, marital satisfaction and nonmedical use of prescription drugs among reserve soldiers and partners. Drug & Alcohol Dependence, 171, e37. doi: 10.1016/j.drugalcdep.2016.08.114 [DOI] [Google Scholar]
- Hoge CW, Auchterlonie JL, & Milliken CS (2006). Mental Health Problems, Use of Mental Health Services, and Attrition From Military Service After Returning From Deployment to Iraq or Afghanistan. JAMA: Journal of the American Medical Association, 295(9), 1023–1032. doi: 10.1001/jama.295.9.1023 [DOI] [PubMed] [Google Scholar]
- Hoopsick RA, Fillo J, Vest BM, Homish DL, & Homish GG (2017). Substance use and dependence among current reserve and former military members: Cross-sectional findings from the National Survey on Drug Use and Health, 2010–2014. Journal of Addictive Diseases, 36(4), 243–251. doi: 10.1080/10550887.2017.1366735 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoopsick RA, Vest BM, Homish DL, & Homish GG (2018). Combat exposure, emotional and physical role limitations, and substance use among male United States Army Reserve and National Guard soldiers. Quality of Life Research, 27(1), 137–147. doi: 10.1007/s11136-017-1706-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jacobson IG, Ryan MA, Hooper TI, Smith TC, Amoroso PJ, Boyko EJ, … Bell NS (2008). Alcohol use and alcohol-related problems before and after military combat deployment. JAMA: Journal of the American Medical Association, 300(6), 663–675. doi: 10.1001/jama.300.6.663 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jarrett TA (2013). Warrior Resilience and Thriving (WRT): Rational Emotive Behavior Therapy (REBT) as a resiliency and thriving foundation to prepare warriors and their families for combat deployment and posttraumatic growth in Operation Iraqi Freedom, 2005–2009. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 31, 93–107. doi: 10.1007/s10942-013-0163-2 [DOI] [Google Scholar]
- Kaufmann CN, Rutkow L, Spira AP, & Mojtabai R (2013). Mental health of protective services workers: results from the national epidemiologic survey on alcohol and related conditions. Disaster Medicine and Public Health Preparedness, 7(1), 36–45. doi: 10.1001/dmp.2012.55 [DOI] [PubMed] [Google Scholar]
- Klag S, & Bradley G (2004). The role of hardiness in stress and illness: An exploration of the effect of negative affectivity and gender. British Journal of Health Psycholology, 9(Pt 2), 137–161. doi: 10.1348/135910704773891014 [DOI] [PubMed] [Google Scholar]
- Kobasa SC (1979). Stressful life events, personality, and health: an inquiry into hardiness. Journal of Personality and Social Psychology, 37(1), 1–11. [DOI] [PubMed] [Google Scholar]
- Milliken CS, Auchterlonie JL, & Hoge CW (2007). Longitudinal Assessment of Mental Health Problems Among Active and Reserve Component Soldiers Returning From the Iraq War. JAMA: Journal of the American Medical Association, 298(18), 2141–2148. doi: 10.1001/jama.298.18.2141 [DOI] [PubMed] [Google Scholar]
- Morgan JK, Brown J, & Bray RM (2018). Resilience as a moderating factor between stress and alcohol-related consequences in the Army National Guard. Addictive Behaviors, 80, 22–27. doi: 10.1016/j.addbeh.2018.01.002 [DOI] [PubMed] [Google Scholar]
- Office of the Deputy Assistant Secretary of Defense. (2016). 2016 Demographics Profile of the Military Community. Department of Defense. Retrieved from: https://download.militaryonesource.mil/12038/MOS/Reports/2016-Demographics-Report.pdf [Google Scholar]
- Polusny MA, Erbes CR, Murdoch M, Arbisi PA, Thuras P, & Rath MB (2011). Prospective risk factors for new-onset post-traumatic stress disorder in National Guard soldiers deployed to Iraq. Psychological Medicine, 41(4), 687–698. doi: 10.1017/S0033291710002047 [DOI] [PubMed] [Google Scholar]
- Richardson GE (2002). The metatheory of resilience and resiliency. Journal of Clinical Psychology, 58(3), 307–321. [DOI] [PubMed] [Google Scholar]
- Roy MJ, Highland KB, & Costanzo MA (2015). GETSmart: Guided Education and Training via Smart Phones to Promote Resilience. Studies in Health Technology and Informatics, 219, 123–128. [PubMed] [Google Scholar]
- Rudzinski K, McDonough P, Gartner R, Strike C (2017). Is there room for resilience? A scoping review and critique of substance use literature and its utilization of the concept of resilience. Substance Abuse Treatment, Prevention, and Policy, 12(1): 41. doi: 10.1186/s13011-017-0125-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Saunders J, Aasland O, Babor T, de la Fuente J, & Grant M (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II. Addiction, 88(6), 791–804. [DOI] [PubMed] [Google Scholar]
- Seal KH, Bertenthal D, Miner CR, Sen S, & Marmar C (2007). Bringing the war back home: mental health disorders among 103,788 US veterans returning from Iraq and Afghanistan seen at Department of Veterans Affairs facilities. Archives of Internal Medicine, 167(5), 476–482. doi: 10.1001/archinte.167.5.476 [DOI] [PubMed] [Google Scholar]
- Seal KH, Cohen G, Waldrop A, Cohen BE, Maguen S, & Ren L (2011). Substance use disorders in Iraq and Afghanistan veterans in VA healthcare, 2001–2010: Implications for screening, diagnosis and treatment. Drug & Alcohol Dependence, 116(1–3), 93–101. [DOI] [PubMed] [Google Scholar]
- Straus R & Bacon SD (1953). Drinking in College. New Haven, CT: Yale University Press. [Google Scholar]
- Tedeschi RG, & Calhoun LG (1996). The Posttraumatic Growth Inventory: measuring the positive legacy of trauma. Journal of Traumatic Stress, 9(3), 455–471. [DOI] [PubMed] [Google Scholar]
- Thomas JL, Wilk JE, Riviere LA, McGurk D, Castro CA, & Hoge CW (2010). Prevalence of Mental Health Problems and Functional Impairment Among Active Component and National Guard Soldiers 3 and 12 Months Following Combat in Iraq. Archives of General Psychiatry, 67(6), 614–623. [DOI] [PubMed] [Google Scholar]
- Thomassen AG, Hystad SW, Johnsen BH, Johnsen GE, & Bartone PT (2018). The effect of hardiness on PTSD symptoms: A prospective mediational approach. Military Psychology. doi: 10.1080/08995605.2018.1425065 [DOI] [Google Scholar]
- Vest BM, Homish DL, Hoopsick RA, & Homish GG (2018). What drives the relationship between combat and alcohol problems in soldiers? The roles of perception and marriage. Social Psychiatry and Psychiatric Epidemiology, 53(4), 413–420. doi: 10.1007/s00127-017-1477-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilson J, Jones M, Fear NT, Hull L, Hotopf M, Wessely S, & Rona RJ (2009). Is previous psychological health associated with the likelihood of Iraq War deployment? An investigation of the “healthy warrior effect”. American Journal of Epidemiology, 169(11), 1362–1369. doi: 10.1093/aje/kwp044 [DOI] [PubMed] [Google Scholar]
- Wooten NR (2012). Deployment Cycle Stressors and Post-Traumatic Stress Symptoms in Army National Guard Women: The Mediating Effect of Resilience. Social Work in Health Care, 51(9), 828–849. doi: 10.1080/00981389.2012.692353 [DOI] [PubMed] [Google Scholar]
- Wooten NR (2013). A Bioecological Model of Deployment Risk and Resilience. Journal of Human Behavior in the Social Environment, 23(6), 699–717. doi: 10.1080/10911359.2013.795049 [DOI] [Google Scholar]
- Wright KM, Foran HM, Wood MD, Eckford RD, & McGurk D (2012). Alcohol problems, aggression, and other externalizing behaviors after return from deployment: understanding the role of combat exposure, internalizing symptoms, and social environment. Journal of Clinical Psychology, 68(7), 782–800. doi: 10.1002/jclp.21864 [DOI] [PubMed] [Google Scholar]
- Zimmerman MA (2013). Resiliency theory: A strengths-based approach to research and practice for adolescent health. Health Education and Behavior, 40(4), 381–383. doi: 10.1177/1090198113493782 [DOI] [PMC free article] [PubMed] [Google Scholar]
