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Although yoga shows some promise as an intervention for post-traumatic stress disorder (PTSD), little is known about how yoga reduces PTSD symptoms. The current study hypothesised that aspects of interoceptive awareness would mediate the effect of a yoga intervention on PTSD symptoms.
Methods:
We used data from our recently completed randomised controlled trial of a 16-week holistic yoga programme for veterans and civilians diagnosed with PTSD (n = 141) that offered weekly 90-minute sessions. We conducted a mediation analysis using interoceptive awareness and other variables that were associated with PTSD symptom reduction at mid-treatment and treatment end.
Results:
Although measures of anxiety, interoceptive awareness, and spirituality were identified in individual mediator models, they were no longer found to be significant mediators when examined jointly in multiple mediator models. When examining the multiple mediator models, the strongest mediator of the yoga intervention on PTSD symptoms was mental well-being at mid-treatment and stigma at the treatment end. The total effect of yoga on CAPS and PCL at the treatment end mediated by stigma was 37.1% (–1.81/–4.88) and 33.6% (–1.91/–5.68), respectively.
Conclusion:
Investigation of mental well-being and mental illness stigma as potential mediators is warranted in future studies of yoga as a treatment for PTSD as they may prove to be important foci for yoga interventions.
Cross-sectional data show that post-traumatic stress disorder (PTSD) patients often have increased levels of circulating inflammatory markers. There is, however, still a paucity of longitudinal studies with long follow-up times on levels of cytokines in such patients. The current study assesses patients with and without PTSD diagnosis 1 year after discharge from inpatient treatment.
Methods:
Patients in treatment for serious non-psychotic mental disorders were recruited at the beginning of their treatment stay at a psychiatric centre in Norway. Ninety patients submitted serum samples and filled out the Hopkins Symptom Checklist-90 Revised Global Severity Index (HSCL-90R GSI) questionnaire during their mainstay and at a follow-up stay 1 year after discharge. Of these patients, 33 were diagnosed with PTSD, 48 with anxiety, depression, or eating disorder, while 9 patients had missing data. The patients were diagnosed using the Mini-International Neuropsychiatric Interview (MINI).
Results:
At the follow-up stay (T3), PTSD patients had higher levels of GSI scores than non-PTSD patients (p = 0.048). These levels were unchanged from the year before (T2) in both groups. The levels of circulating cytokines/chemokine did not differ between the PTSD and non-PTSD patients at T3. At T2, however, the PTSD and non-PTSD groups exhibited different levels of interleukin 1β (IL-1β) (p = 0.053), IL-1RA (p = 0.042), and TNF-α (p = 0.037), with the PTSD patients having the higher levels.
Conclusion:
Despite exhibiting different mental distress scores, the PTSD and non-PTSD patients did not differ regarding levels of circulating inflammatory markers at 1-year follow-up.
To demonstrate a spatial epidemiologic approach that could be used in the aftermath of disasters to (1) detect spatial clusters and (2) explore geographic heterogeneity in predictors for mental health and general wellness.
Methods
We used a cohort study of Hurricane Ike survivors (n=508) to assess the spatial distribution of postdisaster mental health wellness (most likely resilience trajectory for posttraumatic stress symptoms [PTSS] and depression) and general wellness (most likely resilience trajectory for PTSS, depression, functional impairment, and days of poor health) in Galveston, Texas. We applied the spatial scan statistic (SaTScan) and geographically weighted regression.
Results
We found spatial clusters of high likelihood wellness in areas north of Texas City and spatial concentrations of low likelihood wellness in Galveston Island. Geographic variation was found in predictors of wellness, showing increasing associations with both forms of wellness the closer respondents were located to Galveston City in Galveston Island.
Conclusions
Predictors for postdisaster wellness may manifest differently across geographic space with concentrations of lower likelihood wellness and increased associations with predictors in areas of higher exposure. Our approach could be used to inform geographically targeted interventions to promote mental health and general wellness in disaster-affected communities. (Disaster Med Public Health Preparedness. 2016;10:261–273)
During a medical emergency, the American public often relies on the expertise of emergency medical technicians (EMTs). These professionals face a number of occupational hazards, and the literature suggests that EMTs are at a greater risk of developing physical and mental stress-related disorders. The purpose of this paper is to systematically examine gaps in the extant literature and to present a theoretically driven conceptual model to serve as a basis for future intervention and research efforts.
Methods:
A systematic review of the literature was conducted utilizing rele-vant databases (e.g., PsychInfo, Medline). All empirical articles regarding emergency medical responders were reviewed, but given the limited research available, relevant theoretical and conceptual literature on the constructs of interest in other, related populations also were included. Based on this extensive review, a modification of the stress process model is suggested to explain the relationships among occupational stress exposure, post-traumatic stress disorder (PTSD), and high-risk alcohol and other drug use.
Results:
Exposure to traumatic events was reported to be between 80% and 100% among EMTs, and rates of PTSD are >20%. High-risk alcohol and drug use rates among other emergency response professionals were reported to be as high as 40%. The proposed model suggests direct linkages between occupationally related stress exposure, including chronic and critical incident stress, PTSD, and high-risk alcohol and other drug use. Social support and personal resources (e.g., coping, locus of control) are proposed to have mediating and moderating influences on the three main constructs, and cohesion is introduced as an important, idiosyncratic influence in this population. The moderating influences of gender, age, ethnicity, marital status, and socioeconomic status, level of training, and years of service are included in the proposed model.
Conclusions:
High-risk alcohol and other drug use and post-traumatic symptomatology pose substantial risks for EMTs, and consequently, for the patients they serve. It is imperative that researchers develop and test a theoretically grounded model of risk and protective factors that will guide intervention development and future study. The model suggested in this paper, based on a comprehensive literature review and development of theory, represents a critical first step in the intervention research process.
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