Social and Psychological Risk and Protective Factors for Veteran Well-Being: The Role of Veteran Identity and Its Implications for Intervention
In: Military behavioral health, Band 7, Heft 3, S. 304-314
ISSN: 2163-5803
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In: Military behavioral health, Band 7, Heft 3, S. 304-314
ISSN: 2163-5803
Social psychological theory hypothesizes that one's identity, self-definitions, and meanings used for a particular social role fosters individual purpose in life and affects behavior in specific social situations. As such, it can be protective against the onset of psychological disorders. We examined this hypothesis with data collected from 1,730 military veterans recruited to study the health effects of warzone deployments. The sample was primarily male, older, and White. Our key independent variable was a Likert scale rating the prominence of a respondent's veteran identity: how important it is to the person. Outcome variables included posttraumatic stress disorder (PTSD), suicide ideation, depression, alcohol misuse, and use of VA services. Bivariate analysis suggested that veterans with a prominent veteran identity are older, noncollege graduates, have less income, and had their first deployment to Vietnam. In multivariate analyses, study participants with a prominent veteran identity were less likely to exhibit suicide ideation, but more likely to misuse alcohol and use VA services. We found no differences for PTSD, self-rated health, or depression by veteran identity. Veterans who scored higher on the veteran identity scale appeared to be protected from suicidal thoughts, although they had an elevated risk for alcohol misuse.
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In: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613655/
Post-traumatic stress disorder (PTSD) is related to alteration in neuropsychological functioning, including visual and other cognitive processes. Grapheme-color synesthesia is a phenomenon in which a letter or number elicits response of a concurrent image or color perception. Since we earlier reported an association between grapheme-color synesthesia and PTSD, our objective in the current study was to validate this association among a new study group and assess risk factors. For this, we surveyed 1,730 military veterans who have been outpatients in the Geisinger Clinic, a multi-hospital system in Pennsylvania, USA. All the study veterans served in a warzone deployment. The association between PTSD and Grapheme-color synesthesia was evaluated. The average age of veterans was 59.6 years among whom 95.1% were male. Current PTSD prevalence rate was observed to be 7.6% (95% C.I. = 6.5–9.0) and in 3.4% of veterans (95% C.I. = 2.7–4.4) grapheme-color synesthesia was found to be positive. Initial bivariate analyses suggested that synesthesia was associated with current PTSD [odds ratio (OR) = 3.3, p<0.001]. Multivariable stepwise logistic regression evaluating the age, sex, education, trauma exposure, current psychological stress, psychotropic medication use, combat exposure, history of concussion, and current depression, confirmed this association (OR = 2.33, p = 0.019). The present study corroborated that Grapheme-color synesthesia was linked to PTSD among a second cohort of deployed military veterans. Further research is recommended in order to validate this observation and to determine whether synesthesia is a risk factor for PTSD.
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BACKGROUND: This study focuses on factors that may disproportionately affect female veterans' mental health, compared to men, and is part of a larger study assessing the prevalence of mental health disorders and treatment seeking among formerly deployed US military service members. METHODS: We surveyed a random sample of 1,730 veterans who were patients in a large non-VA hospital system in the US. Based on previous research, women were hypothesized to be at higher risk for psychological problems. We adjusted our results for confounding factors, including history of trauma, childhood abuse, combat exposure, deployments, stressful life events, alcohol misuse, psychological resources, and social support. RESULTS: Among the veterans studied, 5% were female (n = 85), 96% were White (n = 1,161), 22.9% were Iraq/Afghanistan veterans (n = 398), and the mean age was 59 years old (SD = 12). Compared to males, female veterans were younger, unmarried, college graduates, had less combat exposure, but were more likely to have lifetime PTSD (29% vs. 12%.), depression (46% vs. 21%), suicidal ideation (27% vs. 11%), and lifetime mental health service use (67% vs. 47%). Females were also more likely to have low psychological resilience and to have used psychotropic medications in the past year. Using multivariate logistic regression analyses that controlled for risk and protective factors, female veterans had greater risk for lifetime PTSD, depression, suicidal thoughts, and for lifetime use of psychological services, compared to males. Since 95% of the population in this study were male and these results may have been statistically biased, we reran our analyses using propensity score matching. Results were consistent across these analyses. CONCLUSION: Using a sample of post-deployment veterans receiving healthcare services from a large non-VA health system, we find that female veterans are at greater risk for lifetime psychological problems, compared to male veterans. We discuss these findings and their implications for service ...
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Yirui Hu,1 Xin Chu,2 Thomas G Urosevich,3 Stuart N Hoffman,4 H Lester Kirchner,1 Richard E Adams,5 Ryan J Dugan,6 Joseph J Boscarino,7 Weixing Shi,2 Carrie A Withey,6 Charles R Figley,8 Joseph A Boscarino6 1Biomedical and Translational Informatics, Geisinger Clinic, Danville, PA, USA; 2Obesity Institute, Geisinger Clinic, Danville, PA, USA; 3Ophthalmology Service, Geisinger Clinic, Mount Pocono, PA, USA; 4Sleep Disorders Center, Geisinger Clinic, Danville, PA, USA; 5Department of Sociology, Kent State University, Kent, OH, USA; 6Department of Population Health Sciences, Geisinger Clinic, Danville, PA, USA; 7Department of Clinical Psychology, William James College, Newton, MA, USA; 8Department of Social Work, Tulane University, New Orleans, LA, USACorrespondence: Joseph A BoscarinoGeisinger Clinic, 100 N. Academy Avenue, 44-00, Danville, PA 17822, USATel +1570-214-9622Email jaboscarino@geisinger.eduBackground: Previously we reported a genetic risk score significantly improved PTSD prediction among a trauma-exposed civilian population. In the current study, we sought to assess this prediction among a trauma-exposed military population.Methods: We examined current PTSD diagnosis and PTSD symptom severity among a random sample of 1042 community-based US military veterans. Main effects and interaction effects were assessed for PTSD genetic risk by trauma exposure using cross-product terms for PTSD x trauma exposures, including combat, lifetime trauma, and adverse childhood exposures. The PTSD risk variants studied were within genetic loci previously associated with PTSD, including CRHR1, CHRNA5, RORA, and FKBP5 genetic variants, which were used to calculate a total PTSD genetic risk score (range=0–8, mean=3.6, SD=1.4).Results: Based on DSM-5 PTSD criteria, 7.1% of veterans (95% CI=5.6–8.8) met criteria for current PTSD. The PTSD genetic risk count was significantly higher among PTSD cases vs non-cases (3.92 vs 3.55, p=0.027). Since the PTSD genetic risk score was not significant in the PTSD diagnosis model, we assessed this association using PTSD symptom severity. Because these symptom data were skewed (mean=9.54, SD=12.71, range=0–76), we used negative binomial regression to assess this outcome. This symptom model included a PTSD genetic risk score, demographic factors, trauma exposures, current insomnia, current depression, concussion history, and attention-deficit disorder, expressed as incident rate ratios (IRR), which is an estimate of one-unit increase in PTSD severity, given other variables are held constant. Variables in the final model included age and sex (both p<0.001), PTSD genetic risk (IRR=1.02, p=0.028), warzone tours (IRR=0.94, p=0.003), childhood abuse (IRR=1.50, p<0.0001), current depression (IRR=1.89, p<0.0001), current insomnia (IRR=2.58, p<0.0001), low social support (IRR=1.19, p<0.0001), attention-deficit disorder (IRR=1.51, p<0.0001), agreeable personality (IRR=0.77, p<0.0001), and concussion (IRR=1.38, p<0.0001). Significant interactions were detected for combat and lifetime trauma exposure by PTSD genetic risk (both p<0.0001), suggesting that the impact of trauma exposures on PTSD severity was lower when the PTSD genetic risk was higher.Conclusion: Both warzone and non-warzone factors predicted current PTSD symptoms among veterans, including a PTSD genetic risk score. Interaction effects were detected for combat exposure and lifetime trauma by genetic risk score for PTSD symptoms, suggesting that PTSD symptom manifestation was more dependent on PTSD risk variants than the level of trauma or combat exposure. This suggests that controlling for other factors, the absence of genetic risk variants may confer PTSD resilience. Further research is planned.Keywords: posttraumatic stress disorder, veterans, combat exposure, trauma, warzone deployment, genetic risk, resilience
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BACKGROUND: Previously we reported a genetic risk score significantly improved PTSD prediction among a trauma-exposed civilian population. In the current study, we sought to assess this prediction among a trauma-exposed military population. METHODS: We examined current PTSD diagnosis and PTSD symptom severity among a random sample of 1042 community-based US military veterans. Main effects and interaction effects were assessed for PTSD genetic risk by trauma exposure using cross-product terms for PTSD x trauma exposures, including combat, lifetime trauma, and adverse childhood exposures. The PTSD risk variants studied were within genetic loci previously associated with PTSD, including CRHR1, CHRNA5, RORA, and FKBP5 genetic variants, which were used to calculate a total PTSD genetic risk score (range=0–8, mean=3.6, SD=1.4). RESULTS: Based on DSM-5 PTSD criteria, 7.1% of veterans (95% CI=5.6–8.8) met criteria for current PTSD. The PTSD genetic risk count was significantly higher among PTSD cases vs non-cases (3.92 vs 3.55, p=0.027). Since the PTSD genetic risk score was not significant in the PTSD diagnosis model, we assessed this association using PTSD symptom severity. Because these symptom data were skewed (mean=9.54, SD=12.71, range=0–76), we used negative binomial regression to assess this outcome. This symptom model included a PTSD genetic risk score, demographic factors, trauma exposures, current insomnia, current depression, concussion history, and attention-deficit disorder, expressed as incident rate ratios (IRR), which is an estimate of one-unit increase in PTSD severity, given other variables are held constant. Variables in the final model included age and sex (both p<0.001), PTSD genetic risk (IRR=1.02, p=0.028), warzone tours (IRR=0.94, p=0.003), childhood abuse (IRR=1.50, p<0.0001), current depression (IRR=1.89, p<0.0001), current insomnia (IRR=2.58, p<0.0001), low social support (IRR=1.19, p<0.0001), attention-deficit disorder (IRR=1.51, p<0.0001), agreeable personality (IRR=0.77, ...
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