Ten-Year Trend and Correlates of Reported Posttraumatic Stress Disorder among Young Male Veteran Suicide Decedents-Results from the National Violent Death Reporting System, 16 U.S. States, 2005-2014

Female military service members and veterans: Understanding treatment seeking behavior and previous suicide risk among suicide decedents

To examine the differences in treatment seeking behaviors, previous suicidal thoughts, previous suicide attempts, and disclosure of suicidal thoughts among female service members (SM)/Veteran suicide decedents who used a firearm and those who used another method. Data was acquired from the National Violent Death Reporting System which is maintained and monitored by the Center for Disease Control and Prevention. Data included in the present study were from suicide deaths that occurred between 2003-2018. Female SM/Veterans who died by firearm suicide had lower proportions of current mental health or substance use treatment, lifetime mental health or substance use treatment, and previous suicide attempts compared to those who used another method. Female SM/Veterans who die by firearm suicide are less likely to encounter mental health services than those who use another method. Conversations on secure firearm storage need to occur outside of the health care setting.

Research utility and limitations of textual data in the National Violent Death Reporting System: a scoping review and recommendations

BACKGROUND

Many studies of injury deaths rely on mortality data that contain limited contextual information about decedents. The National Violent Death Reporting System (NVDRS) is unique among such data systems in that each observation includes both quantitative variables and qualitative texts (called "narratives") abstracted from original source documents. These narratives provide rich data regarding salient circumstances that can be used to inform prevention efforts. This review provides a comprehensive summary of peer-reviewed research using NVDRS narratives over the past 20 years, including the limitations of these texts and provides recommendations on utilizing and improving narrative quality for researchers and practitioners.

MAIN BODY

Studies that used narratives to examine deaths related to suicide, homicide, undetermined intent, accidental firearm, or legal intervention were identified by a title/abstract screening, followed by a full-text review. The search was conducted on English-language, peer-reviewed literature and government reports published from 2002 to 2022 in PubMed, PsycInfo, Scopus, and Google Scholar. Abstracted elements focused on the methodologies used to analyze the narratives, including approaches to explore potential biases in these texts. Articles were abstracted independently by two reviewers, with disagreements resolved through consensus discussion. During the 20-year period, 111 articles used narratives. Two-thirds studied suicide (n = 48, 43%) and homicides (n = 25, 23%). Most studies analyzed the narratives using manual review (n = 81, 73%) and keyword searches (n = 9, 8%), with only 6 (5%) using machine learning tools. Narratives were mainly used for case finding (n = 49, 44%) and characterization of circumstances around deaths (n = 38, 34%). Common challenges included variability in the narratives and lack of relevant circumstantial details for case characterization.

CONCLUSION

Although the use of narratives has increased over time, these efforts would be enhanced by detailed abstraction of circumstances with greater salience to injury research and prevention. Moreover, researchers and practitioners would benefit from guidance on integrating narratives with quantitative variables and standardized approaches to address variability in the completeness and length of narratives. Such efforts will increase the reliability of findings and set the stage for more widespread applications of data science methods to these texts.

Framework for Accurate Classification of Self-Reported Stress From Multisession Functional MRI Data of Veterans With Posttraumatic Stress

Background: Posttraumatic stress disorder (PTSD) is a significant burden among combat Veterans returning from the wars in Iraq and Afghanistan. While empirically supported treatments have demonstrated reductions in PTSD symptomatology, there remains a need to improve treatment effectiveness. Functional magnetic resonance imaging (fMRI) neurofeedback has emerged as a possible treatment to ameliorate PTSD symptom severity. Virtual reality (VR) approaches have also shown promise in increasing treatment compliance and outcomes. To facilitate fMRI neurofeedback-associated therapies, it would be advantageous to accurately classify internal brain stress levels while Veterans are exposed to trauma-associated VR imagery. Methods: Across 2 sessions, we used fMRI to collect neural responses to trauma-associated VR-like stimuli among male combat Veterans with PTSD symptoms (N = 8). Veterans reported their self-perceived stress level on a scale from 1 to 8 every 15 s throughout the fMRI sessions. In our proposed framework, we precisely sample the fMRI data on cortical gray matter, blurring the data along the gray-matter manifold to reduce noise and dimensionality while preserving maximum neural information. Then, we independently applied 3 machine learning (ML) algorithms to this fMRI data collected across 2 sessions, separately for each Veteran, to build individualized ML models that predicted their internal brain states (self-reported stress responses). Results: We accurately classified the 8-class self-reported stress responses with a mean (± standard error) root mean square error of 0.6 (± 0.1) across all Veterans using the best ML approach. Conclusions: The findings demonstrate the predictive ability of ML algorithms applied to whole-brain cortical fMRI data collected during individual Veteran sessions. The framework we have developed to preprocess whole-brain cortical fMRI data and train ML models across sessions would provide a valuable tool to enable individualized real-time fMRI neurofeedback during VR-like exposure therapy for PTSD.

Prevalence of post-traumatic stress disorder in the United States: a systematic literature review

OBJECTIVE

This study synthesized evidence regarding the prevalence of post-traumatic stress disorder (PTSD) in the United States (US).

METHODS

A systematic literature review (SLR) identified recently published (2015-2019) observational studies of PTSD prevalence in the US via the MEDLINE, EMBASE, and PsycINFO databases. Eligible studies' most recent data were collected no earlier than 2013. Data elements extracted included study design, sample size, location, data source/year(s), study population(s), traumatic event type, prevalance estimates with corresponding look-back periods, and clinical metrics.

RESULTS

Data from 38 identified articles were categorized by population, diagnostic criteria, and lookback period. Among civilians, point prevalence ranged from 8.0% to 56.7%, 1-year prevalence from 2.3% to 9.1%, and lifetime prevalence from 3.4% to 26.9%. In military populations, point prevalence ranged from 1.2% to 87.5%, 1-year prevalence from 6.7% to 50.2%, and lifetime prevalence from 7.7% to 17.0%. Within these ranges, several estimates were derived from relatively high quality data; these articles are highlighted in the review. Prevalence was elevated in subpopulations including emergency responders, refugees, American Indian/Alaska Natives, individuals with heavy substance use, individuals with a past suicide attempt, trans-masculine individuals, and women with prior military sexual trauma. Female sex, lower income, younger age, and behavioral health conditions were identified as risk factors for PTSD.

CONCLUSIONS

PTSD prevalence estimates varied widely, partly due to different study designs, populations, and methodologies, and recent nationally representative estimates were lacking. Efforts to increase PTSD screening and improve disease awareness may allow for a better detection and management of PTSD.

The occurrence of post-traumatic stress disorder (PTSD), job burnout and its influencing factors among ICU nurses

OBJECTIVE

This study was designed to explore the occurrence of post-traumatic stress disorder (PTSD) symptoms, job burnout and its influencing factors among nurses in intensive care units (ICU).

METHODS

A total of 150 ICU nurses were selected for questionnaire survey by systematic sampling and 143 questionnaires were returned. The questionnaires included a PTSD Checklist-Civilian Version (PCL-C), Maslach Burnout Inventory (MBI), Connor-Davidson Resilience Scale (CD-RISC) and the Social Support Rating Scale (SSRS). ICU nurses were divided into positive and negative groups according to PCL-C scores, the differences between the groups were compared, and the influencing factors for the occurrence of PTSD were analyzed.

RESULTS

ICU nurses had PCL-C scores ranging from 11 to 55 and were divided into the positive group (PCL-C ≥ 38, N=32) and the negative group (PCL-C < 38, N=111) according to the presence of PTSD, with a positive rate of 22.38%. The total MBI scores and scores in emotional exhaustion, depersonalization, and personal accomplishment in the positive group were significantly higher than those in the negative group, (P < 0.05). Health status, years of experience, age, CD-RISC scores, and SSRS scores showed significant difference between the two groups (P < 0.05). Multivariate logistic regression showed that MBI score was an independent risk factor for the development of PTSD symptoms among ICU nurses (OR > 1, P < 0.05), while CD-RISC score was a protective factor (OR < 1, P < 0.05).

CONCLUSION

The incidence rate of PTSD among ICU nurses was 22.38%, and MBI score and CD-RISC score were independent influencing factors for the occurrence of PTSD symptoms.

Longitudinal mental health outcomes of combat-injured service members

BACKGROUND

The relationship between traumatic injury and subsequent mental health diagnoses is not well understood and may have significant implications for patient screening and clinical intervention. We sought to determine the adjusted association between traumatic injury and the subsequent development of post-traumatic stress disorder (PTSD), depression, and anxiety.

METHODS

Using Department of Defense and Veterans Affairs datasets between February 2002 and June 2016, we conducted a retrospective cohort study of 7,787 combat-injured United States service members matched 1:1 to combat-deployed, uninjured service members. The primary exposure was combat injury versus no combat injury. Outcomes were diagnoses of PTSD, depression, and anxiety, defined by International Classification of Diseases 9th and 10th Revision Clinical Modification codes.

RESULTS

Compared to noninjured service members, injured service members had higher observed incidence rates per 100 person-years for PTSD (17.1 vs. 5.8), depression (10.4 vs. 5.7), and anxiety (9.1 vs. 4.9). After adjustment, combat-injured patients were at increased risk of development of PTSD (HR 2.92, 95%CI 2.68-3.17), depression (HR 1.47, 95%CI 1.36-1.58), and anxiety (HR 1.34, 95%CI 1.24-1.45).

CONCLUSIONS

Traumatic injury is associated with subsequent development of PTSD, depression, and anxiety. These findings highlight the importance of increased screening, prevention, and intervention in patients with exposure to physical trauma.

A systematic review of suicidal behaviour in men: A narrative synthesis of risk factors

RATIONALE

Suicides by men outnumber those by women in every country of the world. To date, there has not been a comprehensive systematic review of risk factors for suicidal behaviour in men to better understand the excess deaths by suicide in men.

OBJECTIVE

The present systematic review seeks to determine the nature and extent of the risk factors to predict suicidal behaviour in men over time.

METHODS

A range of databases (CINAHL, PsycINFO, Web of Science Core Collection, Pubmed, Embase, and Psychology and Behavioural Sciences Collection) were searched from inception to January 2020 for eligible articles. The findings were collated through a narrative synthesis of the evidence.

RESULTS

An initial 601 studies were identified. Following the inclusion and exclusion criteria, there were 105 eligible studies (62 prospective and 43 retrospective) identified. Overall, the risk factors with the strongest evidence predicting suicidal behaviour in men were alcohol and/or drug use/dependence; being unmarried, single, divorced, or widowed; and having a diagnosis of depression. In the prospective studies, the most consistent evidence was for sociodemographic factors (19 risk factors), mental health/psychiatric illness (16 risk factors), physical health/illness (13 risk factors), and negative life events/trauma (11 risk factors). There were a small number of psychological factors (6 factors) and characteristics of suicidal behaviour (3 factors) identified. The findings from the retrospective studies provided further evidence for the risk factors identified in the prospective studies.

CONCLUSIONS

This systematic review has highlighted the wide range of risk factors for suicidal behaviour in men, in this review alone 68 different risk factors were identified. Many factors can interact and change in relevance throughout an individual's life. This review has identified extensive gaps in our knowledge as well as suggestions for future research.

Increases of suicide rates in Kansas: results from 2009-2018

Purpose

The purpose of this study is to evaluate the increase in suicide rates for Kansas residents, as well as quantify the difference in suicide rates between men and women across the State of Kansas.

Design/methodology/approach

To evaluate increases in suicide rates, a joinpoint regression analysis was conducted to calculate the annual percentage change in suicide rates. To evaluate differences between sex characteristics, a one-way analysis of variance was conducted.

Findings

Results of a joinpoint regression analysis found that the annual percentage change in the suicide rates of Kansas did increase significantly between 2009 and 2018. Furthermore, the rate of suicide increase among women was greater than the suicide rate increases of men.

Originality/value

The value of this study provides context to the suicide literature that could allow for better local and statewide policy decisions.