Showing posts with label Military. Show all posts
Showing posts with label Military. Show all posts

Sunday, April 3, 2016

Depression, Posttraumatic Stress & Alcohol Misuse in Young Adult Veterans: The Transdiagnostic Role of Distress Tolerance

BACKGROUND:
Alcohol misuse is common among young adult veterans, and is commonly associated with depression and posttraumatic stress disorder (PTSD). In fact, rates of comorbid depression, PTSD, and problem drinking are high in this population. Although distress tolerance, the capacity to experience and withstand negative psychological states, has been examined as a potential transdiagnostic factor that accounts for the development of mental health disorders, problem drinking, and the comorbidity between these presenting concerns, its role has not been evaluated in a veteran population.

METHODS:
Young adult veterans were recruited for an online survey related to alcohol use. Participants (n=783) completed self-report measures of alcohol use, depression and PTSD symptoms, and distress tolerance. Mediation models were conducted to examine whether distress tolerance mediated the relationship between (1) probable PTSD, (2) probable depression, and (3) comorbid probable PTSD and depression with alcohol misuse. Moderated mediation models were conducted to examine gender as a moderator.

RESULTS:
Significant bivariate associations were observed among mental health symptoms, distress tolerance, and alcohol misuse. Distress tolerance significantly mediated the relationship between probable depression and PTSD (both alone and in combination) and alcohol misuse. Evidence of moderated mediation was present for probable PTSD and probable comorbid PTSD and depression, such that the indirect effect was stronger among males.

CONCLUSIONS:
These results suggest that distress tolerance may be a transdiagnostic factor explaining the comorbidity of depression and PTSD with alcohol misuse in young adult veterans. These findings may inform screening and intervention efforts with this high-risk population.

Purchase full article at:   http://goo.gl/n2o104

  • 1RAND Corporation, 1776 Main Street, Santa Monica, CA 90407, United States. Electronic address: holliday@rand.org.
  • 2RAND Corporation, 1776 Main Street, Santa Monica, CA 90407, United States.
  • 3University of Southern California, Los Angeles, CA 90089, United States. 
  •  2016 Apr 1;161:348-55. doi: 10.1016/j.drugalcdep.2016.02.030. Epub 2016 Feb 27.



Saturday, March 19, 2016

Nature & Determinants of Suicidal Ideation among U.S. Veterans: Results from the National Health & Resilience in Veterans Study

BACKGROUND:
Suicidal thoughts and behaviors among U.S. military veterans are a major public health concern. To date, however, scarce data are available regarding the nature and correlates of suicidal ideation (SI) among U.S. veterans. This study evaluated the prevalence and correlates of suicidal ideation in a contemporary, nationally representative, 2-year prospective cohort study.

METHOD:
Data were analysed from a total of 2157 U.S. veterans who participated in the National Health and Resilience Veterans Study (NHRVS; Wave 1 conducted in 2011; Wave 2 in 2013). Veterans completed measures assessing SI, sociodemographic characteristics, and potential risk and protective correlates.

RESULTS:
The majority of veterans (86.3%) denied SI at either time point, 5.0% had SI onset (no SI at Wave 1, SI at Wave 2), 4.9% chronic SI (SI at Waves 1 and 2), and 3.8% had remitted SI (SI at Wave 1, no SI Wave 2). 

Greater Wave 1 psychiatric distress was associated with increased likelihood of chronic SI (relative risk ratio [RRR]=3.72), remitted SI (RRR=3.38), SI onset (RRR=1.48); greater Wave 1 physical health difficulties were additionally associated with chronic SI (RRR=1.64) and SI onset (RRR=1.47); and Wave 1 substance abuse history was associated with chronic SI (RRR 1.57). 

Greater protective psychosocial characteristics (e.g., resilience, gratitude) at Wave 1 were negatively related to SI onset (RRR=0.57); and greater social connectedness at Wave 1, specifically perceived social support and secure attachment style, was negatively associated with SI onset (RRR=0.75) and remitted SI (RRR=0.44), respectively.

LIMITATIONS:
Suicidal ideation was assessed using a past two-week timeframe, and the limited duration of follow-up precludes conclusions regarding more dynamic changes in SI over time.

CONCLUSIONS:
These results indicate that a significant minority (13.7%) of U.S. veterans has chronic, onset, or remitted SI. Prevention and treatment efforts designed to mitigate psychiatric and physical health difficulties, and bolster social connectedness and protective psychosocial characteristics may help mitigate risk for SI.

Purchase full article at:   http://goo.gl/u4D8Z6

  • 1U.S. Department of Veterans Affairs National Center for PTSD , VA Connecticut Healthcare System, West Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA. Electronic address: Noelle.smith2@va.gov.
  • 2U.S. Department of Veterans Affairs National Center for PTSD , VA Connecticut Healthcare System, West Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
  • 3Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; New England Mental Illness, Research, Education, and Clinical Center, VA Connecticut Healthcare System, West Haven, CT, USA.
  • 4Denver VA Medical Center, Rocky Mountain MIRECC, Denver, CO, USA; Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • 5U.S. Department of Veterans Affairs National Center for PTSD , VA Connecticut Healthcare System, West Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; VA Northeast Program Evaluation Center, West Haven, CT, USA. 
  •  2016 Mar 2;197:66-73. doi: 10.1016/j.jad.2016.02.069.



Wednesday, February 3, 2016

Self-Reported Sexually Transmitted Infections & Sexual Risk Behaviors in the U.S. Military: How Sex Influences Risk

BACKGROUND:
Sexually transmitted infections (STIs) are prevalent in the U.S. military. However, there are limited data on risk-factor differences between sexes.

METHODS:
We used data from the 2008 Department of Defense Survey of Health Related Behaviors among active duty military personnel to identify risk factors for self-reported STIs within the past 12 months and multiple sexual partners among sexually active unmarried service members.

RESULTS:
There were 10,250 active duty personnel, mostly white (59.3%) aged 21 to 25 years (42.6%). The prevalence of any reported STI in the past 12 months was 4.2% for men and 6.9% for women. One-fourth of men and 9.3% of women reported 5 or more sexual partners in the past 12 months. Binge drinking, illicit substance use, and unwanted sexual contact were associated with increased report of sexual partners among both sexes. Family/personal-life stress and psychological distress influenced number of partnerships more strongly for women than for men (Adjusted Odds Ratio [AOR]=1.58, 95% Confidence Interval [CI]=1.18-2.12 and AOR=1.41, 95% CI=1.14-1.76, respectively). After adjusting for potential confounders, we found that the report of multiple sexual partners was significantly associated with the report of an STI among men (AOR, 5.87 [95% CI, 3.70-9.31], for ≥5 partners; AOR, 2.35 [95% CI, 1.59-3.49], for 2-4 partners) and women (AOR, 4.78 [95% CI, 2.12-10.80], for ≥5 partners; AOR, 2.35 [95% CI, 1.30-4.25], for 2-4 partners).

CONCLUSIONS:
Factors associated with the report of increasing sexual partnerships and report of an STI differed by sex. Sex-specific intervention strategies may be most effective in mitigating the factors that influence risky sexual behaviors among military personnel.

Difference in behaviors of sexually active unmarried service members by gender, 2008 HRBS dataset (n=10,250)
CharacteristicsMen (n=6,822)

Women (n=3,428)

p-value

n%95% CIn%95% CI
Alcohol and Drug Use
Binge drinking410161.1(57.1, 65.2)^129038.1(35.1, 41.2)<.001***
Any illicit substance use, past
12 mo.
58810.3(8.5, 12.1)2156.6(4.2, 9.1)<.001***
 Marijuana4668.3(6.4, 10.1)1785.5(3.1, 7.9)0.007**
 Cocaine2103.6(2.6, 4.6)662.0(1.0, 3.0)0.014*
 Ecstasy1783.2(2.5, 3.9)662.3(1.3, 3.3)0.055
 Methamphetamine1021.7(1.2, 2.2)300.9(0.5, 1.2)<.001***
 Heroin891.4(1.0, 1.8)^200.5(0.1, 0.9)0.004**
 Other illicit substance2975.1(4.3, 5.8)^702.3(1.3, 3.3)<.001***
Any prescription drug use for
non-medical purpose, past 12
mo.
129120.4(18.7, 22.1)77123.8(21.2, 26.3)0.006**
 Stimulants1883.3(2.7, 3.9)1083.3(2.4, 4.1)0.993
 Tranquilizers4166.8(6.0, 7.7)2758.4(6.9, 10.0)0.032*
 Sedatives2193.7(3.0, 4.4)1424.4(3.1, 5.7)0.346
 Painkillers119918.9(17.2, 20.5)71722.2(19.6, 24.9)0.009**
 Steroids1562.6(2.1, 3.0)552.0(1.3, 2.8)0.248
Sexual Risks
Condom use at last sex268543.0(40.9, 45.1)^100532.1(28.8, 35.4)<.001***
Main partner at last sex440462.9(61.1, 64.6)283982.5(80.2, 84.8)^<.001***
No. of sex partners, past 12
mo.
<.001***
 5+165425.2(23.5, 26.8)^3399.3(7.8, 10.8)
 2-4270539.8(38.4, 41.2)127838.4(35.2, 41.6)
 1246335.0(34.0, 36.1)181152.3(48.5, 56.0)^
No. of NEW sex partners, past
12 mo.
<.001***
 2+340351.3(50.2, 52.3)^106930.7(27.3, 34.1)
 1157423.4(22.5, 24.3)96531.3(29.4, 33.3)^
 None179925.3(24.3, 26.4)138337.9(35.2, 40.7)^
Unwanted sexual contact1962.9(2.3, 3.6)51514.2(12.0, 16.4)^<.001***
STI, past 12 mo.2734.2(3.5, 4.8)2176.9(5.7, 8.1)^<.001***
Mental Health Indicators
Depression156724.8(23.2, 26.4)97728.4(26.6, 30.2)^0.002**
Anxiety87113.9(12.2, 15.5)67820.3(17.6, 22.9)^<.001***
PTSD76212.2(10.7, 13.7)46713.9(12.4, 15.4)0.097
Overall stress<.001***
 Low337048.9(46.1, 51.6)^142140.9(37.7, 44.1)
 Moderate182127.0(25.6, 28.4)107931.6(29.5, 33.7)^
 High157124.1(21.7, 26.5)90427.5(25.1, 29.8)
High military-related stress176527.1(25.1, 29.1)106831.4(28.6, 34.2)<.001***
High family or personal-life
stress
125619.2(17.7, 20.6)81522.9(20.9, 25.0)^<.001***
Any gender-Related stress------288786.0(83.9, 88.1)--
Psychological distress105316.6(15.1, 18.1)78222.2(19.3, 25.1)^<.001***
Suicide ideation3415.7(4.9, 6.4)1935.4(3.9, 7.0)0.797
Suicide attempt851.4(1.0, 1.8)792.2(1.4, 3.0)0.048*
^95% confidence intervals of the prevalence estimate do not overlap
*p<0.05;
**p<0.01;
***p<0.001; P-values derived by Rao-Scott Chi-Square Test Percentages shown are weighted; n’s are unweighted

Full article at:  http://goo.gl/O7oZ0n

  • 1From the *Department of Epidemiology, Fielding School of Public Health, †Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, and ‡Department of Family Medicine, University of California, Los Angeles, Los Angeles, CA. 
  •  2014 Jun;41(6):359-64. doi: 10.1097/OLQ.0000000000000133.