Mortality among Veterans following Traumatic Brain Injury: A VA Traumatic Brain Injury Model Systems Study.

Few studies have examined long-term mortality following traumatic brain injury (TBI) in a military population. This is a secondary analysis of a prospective, longitudinal study that examines long-term mortality (up to 10 years) post-TBI, including analyses of life expectancy, causes of death and risk factors for death in service members and veterans (SM/V) who survived the acute TBI and inpatient rehabilitation. Among 922 participants in the study, the mortality rate was 8.3% following discharge from inpatient rehabilitation. The mean age of death was 54.5 years, with death occurring on average 3.2 years after injury, and with an average 7-year life expectancy reduction. SM/V with TBI were nearly 4 times more likely to die compared with the US general population. Leading causes of death were external causes of injury, circulatory disease, and respiratory disorders. Also notable were deaths due to late effects of TBI itself and suicide. Falls were a significant mechanism of injury for those who died. Those who died were also more likely to be older at injury, unemployed, non-active duty status, not currently married, and had longer post-traumatic amnesia, longer rehabilitation stays, worse independence and disability scores at rehabilitation discharge, and a history of mental health issues prior to injury. These findings indicate that higher disability and less social supportive infrastructure are associated with higher mortality. Our investigation into the vulnerabilities underlying premature mortality and into the major causes of death may help target future prevention, surveillance, and monitoring interventions.

Testosterone and neurobehavioral outcomes in special operations forces military with multiple mild traumatic brain injury.

BACKGROUND: U.S. Special Operations Forces (SOF) are at increased risk of multiple mild traumatic brain injury (mmTBI). Testosterone was prescribed for several participants in a VA program designed to address sequelae of mmTBI for SOF. OBJECTIVE: To determine testosterone prevalence in the Palo Alto VA Intensive Evaluation and Treatment Program (IETP) and observe for association between testosterone and neurobehavioral outcomes. METHODS: A retrospective cohort study included patients in the Palo Alto VA IETP. Sociodemographic data, testosterone blood levels, and neurobehavioral outcomes were collected from medical records. RESULTS: 55 IETP participants were included: six were testosterone users; the rest were classified as non-users. Testosterone use in this population is 11%, higher than reported national averages in the U.S. Of the 6 testosterone users, 2 (33%) had a formal diagnosis of hypogonadism prior to initiation of testosterone. Neurobehavioral outcome scores between testosterone users and non-users failed to show statistically significant differences, except for the PROMIS pain score, which was higher in the testosterone user population. CONCLUSION: The current study did not find an association between mmTBI, testosterone use, or testosterone level and neurobehavioral outcomes. This study highlights a need to further examine the relationship between hypogonadism, mmTBI, SOF culture around testosterone, and the effects of testosterone use in this population.

Effectiveness of a self-determination theory-based smoking cessation intervention plus instant messaging via mobile application for smokers with cancer: Protocol for a pragmatic randomized controlled trial.

BACKGROUND AND AIMS: Despite evidence that patients living with cancer who continue to smoke after diagnosis are at higher risk for all-cause mortality and reduced treatment efficacy, many cancer patients continue to smoke. This protocol is for a study to test the effectiveness of a self-determination theory-based intervention (quit immediately or progressively) plus instant messaging (WhatsApp or WeChat) to help smokers with cancer to quit smoking. DESIGN: This will be a multi-centre, two-arm (1:1), single-blind, pragmatic, individually randomized controlled trial. SETTING: Taking part will be specialist outpatient clinics in five major hospitals in different location-based clusters in Hong Kong. PARTICIPANTS: The sample will include 1448 Chinese smokers living with cancer attending medical follow-ups at outpatient clinics. INTERVENTIONS: The intervention group will receive brief advice (approximately 5-8 minutes) from research nurses in the outpatient clinics and then be invited to choose their own quit schedules (immediate or progressive). During the first 6-month follow-up period they will receive instant messaging with smoking cessation advice once per week for the first 3 months, and thereafter approximately once per month. They will also receive four videos, and those opting to quit progressively will receive a smoking reduction leaflet. The control group will also receive brief advice but be advised to quit immediately, and instant messaging with general health advice during the first 6-month follow-up period using the same schedule as the intervention group. Participants in both groups will receive smoking cessation leaflets. MEASUREMENTS: The primary outcome is biochemically validated smoking abstinence at 6 months, as confirmed by saliva cotinine level and carbon monoxide level in expired air. Secondary outcomes include biochemically validated smoking abstinence at 12 months, self-reported 7-day point prevalence of smoking abstinence at 6 and 12 months, self-reported ≥ 50% reduction of cigarette consumption at 6 and 12 months and quality of life at 6 and 12 months. All time-points for outcomes measures are set after randomization. COMMENTS: The results could inform research, policymaking and health-care professionals regarding smoking cessation for patients living with cancer, and therefore have important implications for clinical practice and health enhancement.

Longitudinal Investigation of Alexithymia as a Predictor of Empathy, Emotional Functioning, Resilience, and Life Satisfaction 2 Years After Brain Injury.

OBJECTIVE: To examine the unique contribution of alexithymia at 1 year after traumatic brain injury (TBI) to the prospective prediction of emotional and social health outcomes at 2 years after injury. DESIGN: Multicenter, longitudinal cohort study. SETTING: Data were collected during year 1 and year 2 postinjury follow-up interviews across 4 TBI Model System centers. PARTICIPANTS: Persons with TBI (N=175; 134 men and 41 women) who had English fluency and were capable of providing self-reported data. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Primary independent variable was the Toronto Alexithymia Scale-20. Outcome measures included the Interpersonal Reactivity Index, National Institute of Health Toolbox Emotion Battery Anger, Difficulty with Emotion Regulation Scale, Connor-Davidson Resilience Scale, Posttraumatic Stress Disorder Checklist - Civilian, Satisfaction with Life Scale, General Anxiety Disorder-7, Patient Health Questionnaire 9, suicidal ideation, and problematic substance use. RESULTS: Simple adjusted models demonstrated that after controlling for the specific outcome at year 1, Toronto Alexithymia Scale-20 scores significantly predicted year 2 scores for perspective-taking, physical aggression, emotional dysregulation, resilience, anxiety, depression, and suicidal ideation. All of these predictive findings except for physical aggression were maintained in the fully adjusted models that also controlled for age, sex, education level, number of prior TBIs, and motor and cognitive functioning. CONCLUSIONS: Compared with those with lower alexithymia scores, persons with TBI who had higher alexithymia scores at 1 year after injury reported poorer emotional health at 2 years after TBI, even after controlling for year 1 outcome scores, sociodemographic characteristics, and injury-related factors. These results support the need to assess for elevated alexithymia and to provide interventions targeting alexithymia early in the TBI recovery process.

Group-based instrumental musical training to enhance resilience among school-aged children from low-income families: A pilot randomised waitlist controlled trial.

AIM: To evaluate the acceptability, feasibility and potential effectiveness of a group-based instrumental musical training programme in improving resilience, depressive symptoms, self-esteem and quality of life among school-aged children from low-income families. DESIGN: Assessor-blinded pilot randomised waitlist controlled trial with process evaluation. METHODS: This study was conducted in the community from January 2022 to July 2023. Sixty-four children from low-income families (aged 8-12 years) were randomised (1:1) to intervention and waitlist control groups. The intervention group (n = 32) received weekly 1-hour instrumental musical training for 6 months in groups of four to five from professionally qualified musicians at a music centre. The participants in the waitlist control group (n = 32) received the same intervention as the participants in the intervention group after the completion of all outcome assessments. The primary outcome was the children's levels of resilience, measured using the Resilience Scale for Children - 10. The secondary outcomes were depressive symptoms, self-esteem and quality of life. Assessments were conducted at baseline (T0) and immediately post-intervention (T1). An intention-to-treat analysis was performed. RESULTS: The 64 participants had a mean (SD) age of 9.5 (1.44) years, and 37 (57.8%) were boys. Compared with the waitlist control group, participants in the intervention group showed significantly greater improvements in resilience levels from baseline to T0 (group-by-time interaction coefficient ß = 4.41; 95% CI, 1.82-6.99; p = 0.001), depressive symptoms (ß = -6.42; 95% CI, -11.12 to -1.71; p = 0.008), self-esteem (ß = -2.60; 95% CI, 0.28-4.92; p = 0.028) and quality of life (ß = 6.69; 95% CI, 0.18-13.2; p = 0.044). CONCLUSION: The group-based instrumental musical training programme was feasible and acceptable for school-aged underprivileged children and showed the potential to improve the resilience and quality of life of this vulnerable population.

Pandemic-Related Post-traumatic Stress Symptomatology in COVID-19 Patients with and without Post-COVID Conditions.

Trauma and stressor-related symptoms have been frequently reported during the COVID-19 pandemic. Few studies compare post-traumatic stress symptoms (PTSS) between patients and non-infected controls. Using data from an ongoing natural history study of COVID-19, this study compared PTSS between patients infected with SARS-CoV-2 during the first year of the pandemic and controls. Within the COVID-19 patient cohort, we also compared PTSS between patients with and without post-COVID conditions, also known as post-acute sequelae of SARS-CoV-2 infection (PASC). This study also examined the association of PTSS with trait resilience and prior trauma exposure. PTSS were assessed using the Impact of Event Scaled-Revised (IES-R), which has a validated probable PTSD cutoff (score ≥33). The results showed that patients (n=131) reported significantly higher IES-R scores than controls (n=82) and had significantly higher odds of having scores indicative of PTSD [AOR: 4.17 p: 0.029]. IES-R scores among PASC patients (n=68) were significantly elevated compared to patients without PASC (n=63) and PASC patients did not have higher odds for probable PTSD [AOR: 2.60; p: 0.14]. Trait resilience was associated with lower PTSS. These findings help characterize the mental health impact of the COVID-19 illness experience and highlight elevated PTSS in patients with persistent post-COVID conditions.

Changes in Serum Concentration of Antidepressants After Bariatric Surgery and Recommendations for Postbariatric Surgery Antidepressant Therapy.

BACKGROUND: Bariatric surgery affects the absorption of medications including antidepressants, but data regarding these effects are limited. OBJECTIVES: Our objectives were to review publicly available data regarding changes in antidepressant serum concentration following bariatric surgery in order to develop medication dosing recommendations in this patient population. METHODS: A comprehensive literature review was performed utilizing key search terms in Pubmed. Additional data were retrieved from the Food and Drug Administration and DrugBank Online resources. RESULTS: A total of twelve published articles were included in addition to the publicly available data from the Food and Drug Administration and DrugBank. The serum concentration of antidepressants following bariatric surgery demonstrated considerable variability between and within drug classes due to unique pharmacokinetic features, drug preparation, and formulation. Recommendations were developed from published data regarding changes in serum concentration and drug-specific pharmacokinetic data. CONCLUSIONS: To our knowledge, this is the first study to propose medication dose-adjustment recommendations for patients on antidepressants undergoing bariatric surgery. We were limited by the relatively small amount of data available and recommend monitoring patients and use of clinical judgment along with this guidance.

A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data.

BACKGROUND: Health care providers and health-related researchers face significant challenges when applying sentiment analysis tools to health-related free-text survey data. Most state-of-the-art applications were developed in domains such as social media, and their performance in the health care context remains relatively unknown. Moreover, existing studies indicate that these tools often lack accuracy and produce inconsistent results. OBJECTIVE: This study aims to address the lack of comparative analysis on sentiment analysis tools applied to health-related free-text survey data in the context of COVID-19. The objective was to automatically predict sentence sentiment for 2 independent COVID-19 survey data sets from the National Institutes of Health and Stanford University. METHODS: Gold standard labels were created for a subset of each data set using a panel of human raters. We compared 8 state-of-the-art sentiment analysis tools on both data sets to evaluate variability and disagreement across tools. In addition, few-shot learning was explored by fine-tuning Open Pre-Trained Transformers (OPT; a large language model [LLM] with publicly available weights) using a small annotated subset and zero-shot learning using ChatGPT (an LLM without available weights). RESULTS: The comparison of sentiment analysis tools revealed high variability and disagreement across the evaluated tools when applied to health-related survey data. OPT and ChatGPT demonstrated superior performance, outperforming all other sentiment analysis tools. Moreover, ChatGPT outperformed OPT, exhibited higher accuracy by 6% and higher F-measure by 4% to 7%. CONCLUSIONS: This study demonstrates the effectiveness of LLMs, particularly the few-shot learning and zero-shot learning approaches, in the sentiment analysis of health-related survey data. These results have implications for saving human labor and improving efficiency in sentiment analysis tasks, contributing to advancements in the field of automated sentiment analysis.

Using the Whole School, Whole Community, Whole Child Model to Support Mental Health in Schools.

The COVID-19 pandemic increased already high rates of student mental health concerns and further underscored inequities and disparities in access to services and care. As schools continue to address the effects of the pandemic, they must prioritize student mental health and well-being. In this commentary, using feedback from the Maryland School Health Council, we present the connection between mental health in school and the Whole School, Whole Community, Whole Child (WSCC) model, a school health model commonly employed by schools and school districts. In doing so, we aim to highlight how school districts can use this model to address child mental health needs across a multi-tiered system of support.

A gap in the data: Defining, identifying, and tracking children with medical complexity in the child welfare system.

BACKGROUND: Among nearly 400,000 children in US foster care, an estimated 10 % are medically complex. Yet, population-level data about children with medical complexity (CMC) served by the child welfare system, both for prevention and foster care services, are largely unavailable. OBJECTIVE: To understand how US child welfare agencies define, identify, and track CMC. PARTICIPANTS AND SETTING: Child welfare agencies across the US. METHODS: Agencies were recruited to complete a survey as part of a larger study exploring how CMC are served by the child welfare system. Survey responses related to defining, identifying, and tracking CMC were included in analysis. Descriptive statistical analysis was conducted with Stata. Qualitative content and thematic analysis were applied to free text responses. RESULTS: Surveys were completed by agencies from 28 states and 2 major cities. Nearly half of the agencies did not have a clear definition to identify CMC; those that did have a definition often lacked standardization. The majority of agencies could not easily identify CMC or access CMC-related data within data systems. Agencies described lack of a clear definition as a barrier to collecting population level data. CONCLUSIONS: Many US child welfare agencies lack a clear definition to identify and track CMC, impacting the ability to tailor care and service delivery to meet their unique needs. To address this, a clear definition for CMC should be developed and consistently applied within child welfare data systems. Once CMC are identifiable, future research can collect population-level data and provide recommendations for best practices and policies.

Patients', families' and healthcare providers' perspectives on end-of-life communication in Chinese hospital settings: A qualitative study protocol.

BACKGROUND: Perspectives of key stakeholders should be fully considered to enhance culturally appropriate strategies in end-of-life communication and strengthen healthcare service delivery. So far, little research evidence is available on Chinese patients', families', and healthcare professionals' experiences with and perspectives of end-of-life communication in hospital settings. AIM: The current study aims to explore experiences, perceptions and suggestions of end-of-life communication among Chinese terminally ill patients, their families and healthcare providers. METHODS: The phenomenology qualitative approach will be adopted. Semi-structured in-depth interviews and focus group discussions will be used to collect relevant data. Eligible terminally ill patients, family caregivers and healthcare providers will be recruited in two hospitals in Mainland China via purposive sampling. Thematic analysis will be performed to analyse data. The Standards for Reporting Qualitative Research (SRQR) checklist will be followed for reporting. This study has been registered at ClinicalTrials.gov (NCT05734781). DISCUSSION: This qualitative study is, as far as we are aware, the first to specifically address patient/family-provider end-of-life communication in the Chinese social-cultural context. The results hold the potential to enrich current knowledge of end-of-life communication, navigate culturally appropriate communication strategies, and inform the development of related training programs for healthcare providers in hospital settings.

The Association of Resilience with Way of Coping, Psychological Well-Being and Quality of Life in Parents of Children with Cancer.

Evidence shows that resilience is crucial to maintain psychological well-being and quality of life in the face of stress and adversity. However, the relationships between resilience and psychological well-being and factors associated with quality of life in Hong Kong Chinese parents of children with cancer are underexplored. This study aimed to examine the interrelationships among resilience, ways of coping, psychological well-being, and quality of life among Chinese parents of children with cancer, and identify factors associated with their quality of life. A cross-sectional study was conducted with 119 Chinese parents of children with cancer at the Hong Kong Children's Hospital between January 2020 and March 2022. Parents' resilience level, ways of coping, depressive symptoms, state anxiety scores, perceived social support, and quality of life were assessed. Participating parents (n = 119) included 98 mothers (82.4%) and 11 parents were from single-parent families (9.2%). Almost half (47.9%) of the parents were potentially at risk for depression. The results showed that participants from single-parent families reported statistically significantly lower levels of resilience (p < 0.001), more depressive symptoms (p < 0.001), and poorer quality of life (p < 0.001) than those who lived with their partners (married). In addition, parents who adopted problem-focused coping strategies reported statistically significantly higher levels of resilience (p < 0.001), fewer depressive symptoms (p < 0.001), and better quality of life (p < 0.001) than those who adopted emotion-focused coping strategies. A multiple regression analysis revealed that resilience (p < 0.001) was associated with quality of life among parents of children with cancer. This study provides further support that resilience is an important factor associated with quality of life in parents of children with cancer. Assessing resilience in parents is an important prerequisite for designing appropriate interventions to increase their resilience and enhance their quality of life.

Exploring racial/ethnic disparities in rehabilitation outcomes after TBI: A Veterans Affairs Model Systems study.

BACKGROUND: Almost one-third of the U.S. military population is comprised of service members and veterans (SMVs) of color. Research suggests poorer functional and psychosocial outcomes among Black and Hispanic/Latine vs. White civilians following traumatic brain injury (TBI). OBJECTIVE: This study examined racial/ethnic differences in 5-year functional independence and life satisfaction trajectories among SMVs who had undergone acute rehabilitation at one of five Veterans Affairs (VA) TBI Model Systems (TBIMS) Polytrauma Rehabilitation Centers (PRCs). METHODS: Differences in demographic and injury-related factors were assessed during acute rehabilitation among White (n = 663), Black (n = 89), and Hispanic/Latine (n = 124) groups. Functional Independence Measure (FIM) Motor, FIM Cognitive, and Satisfaction with Life Scale (SWLS) scores were collected at 1, 2, and 5 years after injury. Racial/ethnic comparisons in these outcome trajectories were made using hierarchical linear modeling. RESULTS: Black SMVs were less likely than White and Hispanic/Latine SMVs to have been deployed to a combat zone; there were no other racial/ethnic differences in any demographic or injury-related variable assessed. In terms of outcomes, no racial/ethnic differences emerged in FIM Motor, FIM cognitive, or SWLS trajectories. CONCLUSION: The absence of observable racial/ethnic differences in 5-year outcome trajectories after TBI among SMVs from VA TBIMS PRCs contrasts sharply with previous research identifying disparities in these same outcomes and throughout the larger VA health care system. Individuals enrolled in VA PRCs are likely homogenized on key social determinants of health that would otherwise contribute to racial/ethnic disparities in outcome trajectories.

A Network Analysis of the PART-O at 1 and 2 Years After TBI: A Veterans Affairs Model Systems Study.

OBJECTIVE: The construct of participation after traumatic brain injury (TBI) can be difficult to operationalize. Psychometric network analysis offers an empirical approach to visualizing and quantifying the associations between activities that comprise participation, elucidating the relations among the construct's components without assuming the presence of a latent common cause and generating a model to inform future measurement methods. The current research applied psychometric network analysis to the Participation Assessment with Recombined Tools-Objective (PART-O) within a sample of service members and veterans (SM/Vs) with a history of TBI at 1 and 2 years ( T1 and T2 ) postinjury. PARTICIPANTS: Participants ( N = 663) were SM/Vs with a history of TBI who completed comprehensive inpatient rehabilitation services at a Department of Veterans Affairs (VA) Polytrauma Rehabilitation Center (PRC). SETTING: Five VA PRCs. DESIGN: Cross-sectional, retrospective analysis of data from the VA TBI Model Systems study. MAIN MEASURES: PART-O. RESULTS: Network analysis demonstrated that the PART-O structure was generally consistent over time, but some differences emerged. The greatest difference observed was the association between "spending time with friends" and "giving emotional support" to others. This association was more than twice as strong at T2 as at T1 . The "out of the house" item was most central, as demonstrated by dense connections within its own subscale (Out and About) and items in other subscales (ie, Social Relations and Productivity). When examining items connecting the 3 subscales, the items related to giving emotional support, internet use, and getting out of the house emerged as the strongest connectors at T1 , and the internet was the strongest connector at T2 . CONCLUSION: Providing emotional support to others is associated with greater participation across multiple domains and is an important indicator of recovery. Being out and about, internet use, and engagement in productive activities such as school and work shared strong associations with Social Relations. Network analysis permits visual conceptualization of the dynamic constructs that comprise participation and has the potential to inform approaches to measurement and treatment.

The Effects of Expectations and Worries on the Experience of COVID-19 Symptoms.

Introduction: The COVID-19 pandemic has been shown to have profound effects on both mental and physical health. Distress and widespread uncertainty about global events and personal risk are associated with increased worry and negative expectations that impact physical health. Thus, the current pandemic poses a possibility for the experience of nocebo effects. Objective: To evaluate the likelihood of nocebo-induced COVID-19 symptoms in a US sample. Methods: An online study on the mental health impact of COVID-19 asked participants to complete a set of biweekly surveys over a 6-month period between April 2020 and May 2021. We focus on responses from 3,027 individuals who reported never testing positive for COVID-19. We assessed the association between two types of worry and self-reported symptoms of COVID-19. We used multi-level models to examine variations across and within participants over time. We further investigated the effects of pre-existing health conditions and mental health status. Results: There was a positive association between symptoms and both general (b= 2.56, p<0.01) and personal worry (b=2.77, p<0.01). However, worry reported at one timepoint was not specifically associated with symptoms reported two weeks later (p = 0.63, p=0.56). We also found that a greater number of prior clinical comorbidities and greater mental health burden were significant predictors of symptom reporting. Conclusions: These results suggest that increased worries during the COVID-19 pandemic were associated with greater symptoms. Further studies investigating worry and symptoms in populations with confirmed negative COVID-19 tests or isolated populations will be needed to isolate the occurrence of true nocebo effects during the pandemic.

Health-Risk Behaviors among Chinese Adults during the COVID-19 Pandemic.

This study analyzed archived data from a previous large-scale survey study on multiple health-risk behaviors among Chinese adults in Hong Kong between 21 June and 31 August 2021. In addition, this study examined participants' perceptions of the risks associated with their behaviors, their attitudes toward adopting healthy behaviors, and the impact of COVID-19 on their health-risk behaviors. A total of 4605 participants who had at least one health-risk behavior were included in the analysis. The results showed that about half of the participants were unaware that non-communicable diseases (NCDs) can be caused by health-risk behaviors such as tobacco use, harmful use of alcohol, physical inactivity, and an unhealthy diet. More than half of the participants did not have regular body checkups or monitor their physical health at home. Many participants paid more attention to their health due to the COVID-19 pandemic, but few made changes to their unhealthy habits or adopted a healthier lifestyle. Of the 704 smokers, 60.9% did not realize that smoking increases the risk of transmitting COVID-19 to others. Only 32.2% and 11.9% smokers had the intention to quit smoking and reduced their cigarette consumption, respectively. Additionally, 13.6% reported that their daily cigarette consumption had increased, and 78.8% changed their smoking behavior during the pandemic. Healthcare professionals must educate the public about the association between health-risk behaviors and NCDs and between COVID-19 and NCDs. The government should formulate a long-term plan to strengthen the primary healthcare system and address the challenges posed by the rising prevalence of NCDs.

Perceived care partner burden at 1-year post-injury and associations with emotional awareness, functioning, and empathy after TBI: A TBI model systems study.

BACKGROUND: People with traumatic brain injury (TBI) can lack awareness of their own emotions and often have problems with emotion dysregulation, affective disorders, and empathy deficits. These impairments are known to impact psychosocial behaviors and may contribute to the burden experienced by care partners of individuals with TBI. OBJECTIVE: To examine the associations of emotional awareness, emotional functioning, and empathy among participants with TBI with care partner burden. METHOD: This multisite, cross-sectional, observational study used data from 90 dyads (participants with TBI and their care partner) 1-year post-injury. Participants with TBI completed the Difficulty with Emotional Regulation Scale (DERS; Awareness, Clarity, Goals, Impulse, Nonacceptance, and Strategies subscales); PTSD Checklist-Civilian Version; NIH Toolbox Anger-Affect, Hostility and Aggression Subdomains; PHQ-9; GAD-7; and the Interpersonal Reactivity Index (empathic concern and perspective taking subscales). Care partners completed the Zarit Burden Inventory (ZBI) and provided demographic information. RESULTS: Care partners were predominately female (77%), and most were either a spouse/partner (55.2%) or parent (34.4%). In an unadjusted model that included assessments of emotional awareness, emotional functioning, and empathy of the participant with TBI, the DERS-Awareness and NIH-Hostility subscales accounted for a significant amount of variance associated with care partner burden. These findings persisted after adjusting for care partner age, relationship, education, and the functional status of the participant with TBI (ß= 0.493 and ß= 0.328, respectively). CONCLUSION: These findings suggest that high levels of hostility and low emotional self-awareness can significantly affect the burden felt by TBI care partners.

Preliminary Study of Virtual-reality-guided Meditation for Veterans with Stress and Chronic Pain.

Context: Studies have found evidence for meditation's positive effects on health and well-being, but the difficulty of learning and engaging in meditation practice has been identified as a major barrier. Virtual reality (VR) technology may facilitate meditation practice by immersing users in a distraction-free and calming virtual environment, although this theory has yet to be rigorously tested. Objective: This study intended to examine the efficacy of VR-guided meditation in a population of US veterans as a tool to facilitate meditation and relaxation practice for reduction of stress and chronic pain as well as to elicit participants' feedback regarding their perceptions of VR-guided meditation. Design: The research team designed a preliminary study to identify the scope of future investigations. Setting: The study was conducted at an outpatient polytrauma clinic in a Veterans Affairs (VA) Palo Alto Health Care System, located in Palo Alto, California. Participants: Participants were a convenience sample of 31 veterans, with an average age of 55.2 years, who were patients at the polytrauma clinic and who had conditions with varying levels of stress and chronic pain. Intervention: All participants completed a 10-minute, VR-guided-meditation session based on the Zen form of meditation. Outcome Measures: At baseline immediately before and postintervention immediately after the VR meditation session, self-report ratings of pain and stress, physiological measures testing heart rate (HR) and blood pressure (BP), and participants' survey responses that assessed their experiences with, attitudes toward, and concerns about VR for clinical therapy were obtained. Results: Participants showed statistically significant reductions in self-reported pain and stress, HR, and systolic and diastolic BP. Participants reported high satisfaction with VR-guided meditation, and few reported negative side-effects. Conclusions: The study provided evidence for the usefulness of VR technology as a facilitator of meditation practice for reduction of stress and chronic pain. Future studies are needed to examine the long-term effects of repeated VR-guided-meditation sessions for patients with stress and chronic pain.

Trends in Language Use During the COVID-19 Pandemic and Relationship Between Language Use and Mental Health: Text Analysis Based on Free Responses From a Longitudinal Study.

BACKGROUND: The COVID-19 pandemic and its associated restrictions have been a major stressor that has exacerbated mental health worldwide. Qualitative data play a unique role in documenting mental states through both language features and content. Text analysis methods can provide insights into the associations between language use and mental health and reveal relevant themes that emerge organically in open-ended responses. OBJECTIVE: The aim of this web-based longitudinal study on mental health during the early COVID-19 pandemic was to use text analysis methods to analyze free responses to the question, "Is there anything else you would like to tell us that might be important that we did not ask about?" Our goals were to determine whether individuals who responded to the item differed from nonresponders, to determine whether there were associations between language use and psychological status, and to characterize the content of responses and how responses changed over time. METHODS: A total of 3655 individuals enrolled in the study were asked to complete self-reported measures of mental health and COVID-19 pandemic-related questions every 2 weeks for 6 months. Of these 3655 participants, 2497 (68.32%) provided at least 1 free response (9741 total responses). We used various text analysis methods to measure the links between language use and mental health and to characterize response themes over the first year of the pandemic. RESULTS: Response likelihood was influenced by demographic factors and health status: those who were male, Asian, Black, or Hispanic were less likely to respond, and the odds of responding increased with age and education as well as with a history of physical health conditions. Although mental health treatment history did not influence the overall likelihood of responding, it was associated with more negative sentiment, negative word use, and higher use of first-person singular pronouns. Responses were dynamically influenced by psychological status such that distress and loneliness were positively associated with an individual's likelihood to respond at a given time point and were associated with more negativity. Finally, the responses were negative in valence overall and exhibited fluctuations linked with external events. The responses covered a variety of topics, with the most common being mental health and emotion, social or physical distancing, and policy and government. CONCLUSIONS: Our results identify trends in language use during the first year of the pandemic and suggest that both the content of responses and overall sentiments are linked to mental health.