Faculty Bibliography

BACKGROUND:Nonmedical prescription drug use is prevalent among young adults, yet little is known about modifiable determinants of use. We examined whether maternal-offspring attachment reported at mean age 21 was associated with nonmedical prescription opioid use at mean age 26, and investigated whether a history of depressive symptoms and substance use played a role in associations between maternal-offspring attachment and nonmedical prescription opioid use. METHODS:We used data from the Growing Up Today Study, a longitudinal cohort of United States adolescents followed into young adulthood. Maternal-offspring attachment was reported by young adults and their mothers, and defined as mutual low, mutual medium or high, and dissonant. Analyses were carried out in the full sample using generalized estimating equation models, and in a sibling subsample, using conditional fixed effects models to control for stable aspects of the family environment. RESULTS:Analyses with the full sample and the sibling subsample both showed that mutual medium/high maternal-offspring attachment at age 21 was associated with lower odds of nonmedical prescription opioid use at age 26 (RR=0.74; 95% CI=0.57-0.97 in full sample). The association was partly mediated by mean age 23 offspring smoking, heavy episodic drinking, and illicit drug use. CONCLUSIONS:Promoting reciprocal attachment in the maternal-offspring dyad should be investigated as a strategy to prevent nonmedical prescription opioid use by young adulthood. Even in young adulthood, programs that target both parents and offspring may have greater impact on offspring substance use than programs that target offspring alone.

IMPORTANCE/OBJECTIVE:Posttraumatic stress disorder (PTSD) indicates a chronic stress reaction in response to trauma. This prevalent condition has been identified as a possible risk factor for obesity. Whether PTSD symptoms alter the trajectory of weight gain or constitute a comorbid condition has not been established. OBJECTIVE:To determine whether women who develop PTSD symptoms are subsequently more likely to gain weight and become obese relative to trauma-exposed women who do not develop PTSD symptoms or women with no trauma exposure or PTSD symptoms and whether the effects are independent of depression. DESIGN, SETTING, AND PARTICIPANTS/METHODS:The Nurses' Health Study II, a prospective observational study initiated in 1989 with follow-up to 2005, using a PTSD screener to measure PTSD symptoms and time of onset. We included the subsample of the Nurses' Health Study II (54 224 participants; ages 24-44 years in 1989) in whom trauma and PTSD symptoms were measured. EXPOSURES/METHODS:Trauma and PTSD symptoms. MAIN OUTCOMES AND MEASURES/METHODS:Development of overweight and obesity using body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) cut points 25.0 and 30.0, respectively; change in BMI during follow-up among women reporting PTSD symptom onset before 1989; and BMI trajectory before and after PTSD symptom onset among women who developed PTSD symptoms in 1989 or during follow-up. RESULTS:Among women with at least 4 PTSD symptoms before 1989 (cohort initiation), BMI increased more steeply (b = 0.09 [SE = 0.01]; P < .001) during the follow-up. Among women who developed PTSD symptoms in 1989 or later, BMI trajectory did not differ by PTSD status before PTSD onset. After PTSD symptom onset, women with at least 4 symptoms had a faster rise in BMI (b = 0.08 [SE = 0.02]; P < .001). The onset of at least 4 PTSD symptoms in 1989 or later was also associated with an increased risk of becoming overweight or obese (odds ratio, 1.36 [95% CI, 1.19-1.56]) among women with a normal BMI in 1989. Effects were maintained after adjusting for depression. CONCLUSIONS AND RELEVANCE/CONCLUSIONS:Experience of PTSD symptoms is associated with an increased risk of becoming overweight or obese, and PTSD symptom onset alters BMI trajectories over time. The presence of PTSD symptoms should raise clinician concerns about physical health problems that may develop and prompt closer attention to weight status.

OBJECTIVE:Despite concerns about increased sexual harassment and assault after the 2013 legislation repealing the ban on women in combat, little research has examined military factors that could prevent sexual harassment and assault during deployment. This study examined whether unit support, which reflects the quality of service members' relationships within their unit, protects against sexual harassment and assault during deployment. METHODS:Participants were 1,674 Ohio Army National Guard service members who reported at least one deployment during a telephone survey conducted in 2008 and 2009. Participants completed measures of sexual harassment/assault, unit support, and psychosocial support. Logistic regression was used to model odds of sexual harassment/assault. RESULTS:Approximately 13.2% of men (n = 198) and 43.5% of women (n = 74) reported sexual harassment, and 1.1% of men (n = 17) and 18.8% of women (n = 32) reported sexual assault during their most recent deployment. Greater unit support was associated with decreased odds of sexual harassment and assault. CONCLUSIONS:A substantial proportion of men and women reported sexual harassment/assault. Greater unit support was associated with diminished odds of sexual harassment/assault during deployment. Programming designed to improve unit cohesion has the potential to reduce sexual harassment and assault.

OBJECTIVES/OBJECTIVE:As a case study of the impact of universal versus targeted interventions on population health and health inequalities, we used simulations to examine (1) whether universal or targeted manipulations of collective efficacy better reduced population-level rates and racial/ethnic inequalities in violent victimization; and (2) whether experiments reduced disparities without addressing fundamental causes. METHODS:We applied agent-based simulation techniques to the specific example of an intervention on neighborhood collective efficacy to reduce population-level rates and racial/ethnic inequalities in violent victimization. The agent population consisted of 4000 individuals aged 18 years and older with sociodemographic characteristics assigned to match distributions of the adult population in New York City according to the 2000 U.S. Census. RESULTS:Universal experiments reduced rates of victimization more than targeted experiments. However, neither experiment reduced inequalities. To reduce inequalities, it was necessary to eliminate racial/ethnic residential segregation. CONCLUSIONS:These simulations support the use of universal intervention but suggest that it is not possible to address inequalities in health without first addressing fundamental causes.

In the past 10 years, the literature on disasters and mental health has shifted from a focus on psychopathology, to an interest in documenting manifestations of resilience in the face of mass trauma. The Jin et al. study, published in this issue of the Journal, examines gender differences in the relationship between posttraumatic stress disorder (PTSD) and posttraumatic growth (PTG) in the aftermath of the Wenchuan Earthquake in China. The study suggests that the coping response to PTSD may differ between males and females, and raises interesting questions about the types of factors that contribute to the manifestation of high versus low PTG given high levels of PTSD. At the same time, this type of study highlights the need to investigate the long-term impact and meaning of PTG, and to examine whether it reflects an adaptive process with long-term benefits in the face of traumatic exposures, or an illusory type of posttraumatic response.

BACKGROUND:Alcohol use disorders are a serious public health concern among soldiers. Although deployment-related exposures have been linked with alcohol use disorders in soldiers, less is understood about the link between modifiable, civilian stressors and post-deployment alcohol use disorders. PURPOSE/OBJECTIVE:To (1) compare the influence of civilian stressors and deployment-related traumatic events and stressors on post-deployment alcohol use disorders among Army National Guardsmen primarily deployed to Afghanistan and Iraq; and (2) evaluate whether civilian stressors influence a different set of alcohol use disorder phenotypes than deployment-related traumatic events and stressors. METHODS:A cohort of Ohio National Guard soldiers was recruited in 2008-2009 and interviewed three times over 3 years. The analytic sample included Ohio National Guard soldiers who had been deployed by 2008-2009, had participated in at least one follow-up wave, had reported consuming at least one alcoholic drink in their lifetime, and had non-missing data on alcohol use disorders (n=1,095). Analyses were conducted in 2013. RESULTS:In a model including measures of civilian stressors and deployment-related traumatic events, only civilian stressors (OR=2.07, 95% CI=1.46, 2.94) were associated with subsequent alcohol use disorder. The effects of civilian stressors were only present among people with no history of alcohol use disorder. CONCLUSIONS:Independent of deployment-related exposures, post-deployment civilian stressors are associated with the onset of alcohol use disorder among reserve-component soldiers. Concerted investment to address daily civilian difficulties associated with reintegration into civilian life may be needed to prevent new cases of alcohol use disorders among returning military personnel.

Nonmedical prescription opioid misuse remains a growing public problem in need of action and is concentrated in areas of US states with large rural populations such as Kentucky, West Virginia, Alaska, and Oklahoma. We developed hypotheses regarding the influence of 4 factors: (1) greater opioid prescription in rural areas, creating availability from which illegal markets can arise; (2) an out-migration of young adults; (3) greater rural social and kinship network connections, which may facilitate drug diversion and distribution; and (4) economic stressors that may create vulnerability to drug use more generally. A systematic consideration of the contexts that create differences in availability, access, and preferences is critical to understanding how drug use context varies across geography.