Mental health treatment for first responders: An assessment of mental health provider needs.

First responders experience mental health conditions at a higher rate than the general population. To improve treatment and enhance quality of care, it is important to understand the needs of those who provide mental health treatment to this population. The purpose of this study was to explore the needs of mental health providers with experience working with first responders to better understand how first responders differ from community patients, and what training and supports providers need to enhance treatment. Semistructured qualitative interviews were conducted via videocalls with 12 mental health providers who provide mental health care to Australian first responders. The interviews were transcribed verbatim and interpretative phenomenological analysis was performed. The findings highlighted the importance of identity and culture among first responders, and the need for cultural awareness and understanding among mental health providers working with this population. Various training opportunities which could enhance treatment capacities were identified, including training in accurate assessment and differential diagnosis, evidence-based trauma-focused treatments, transdiagnostic treatments, and working with specific first responder treatment characteristics (e.g., emotional detachment, rigid cognitive styles, and preferences toward structure and order). Ways in which mental health providers can be supported included facilitating professional networks between providers and connection with first responder organizations. The insights gathered from this study provide a foundation from which to consider training and support development for mental health providers working with first responders. Service level implications and directions are outlined to assist future decision making on this topic. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Understanding the temporal dynamics of problem anger using sequence analysis.

Problem anger is a common, and potentially destructive mental health issue in trauma-affected populations, affecting up to 30% of veteran and military populations. Problem anger is associated with a range of psychosocial and functional difficulties and elevated risk of harm to self and others. Increasingly, ecological momentary assessment (EMA) is being used to understand the microlevel dynamics of emotions, and this information is valuable to inform treatment approaches. Using a data-driven approach, we used sequence analysis to determine whether heterogeneity exists amongst veterans with problem anger using EMA-recorded experiences of anger intensity. Veterans with problem anger (N = 60; Mage = 40.28) completed 10 days of EMA with four prompts per day. We identified four subtypes of veterans within the data, whose anger intensity dynamics differed significantly, and the subtypes mapped onto macrolevel indicators of anger and well-being. Taken together, these results highlight the importance of microlevel investigations of mood states in clinical populations, and in some instances, the novel use of sequence analysis may be appropriate. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Using an ecological momentary assessment protocol to understand problem anger in veterans.

BACKGROUND AND OBJECTIVES: Problem anger is highly destructive, and is one of the most commonly reported issues in military and veteran populations. The goal of this study was to use ecological momentary assessment (EMA) to explore and characterize moment-to-moment experiences of problem anger in a sample of Australian veterans. METHODS: Sixty veterans with problem anger (measured on the Dimensions of Anger Reactions Scale) completed measures of anger and anger rumination, before and after a 10-day EMA period which assessed the frequency, intensity, and expression of momentary anger experiences. RESULTS: Findings showed that 75% of respondents indicated some level of anger during EMA monitoring. In 25% of cases, anger was reported as severe. Moreover, anger was expressed verbally in 43% of cases, and expressed physically in 27% of cases. While anger fluctuated frequently during the day, more severe anger was more likely to be reported in the late afternoon/early evening. Problem anger symptoms decreased significantly over time, from pre-EMA to post EMA (p < .001). LIMITATIONS: The generalizability of findings is limited to a predominantly male sample, with low levels of risk of harm or violence. The study was also limited in the selection of outcome variables assessed and the lack of a control group; other momentary factors could influence experience of problem anger and provide further explanation of study results. CONCLUSIONS: EMA is a valuable assessment tool for individuals with problem anger, and the potential for EMA as an intervention needs to be explored further.

Modelling the relationship between poor sleep and problem anger in veterans: A dynamic structural equation modelling approach.

OBJECTIVE: Problem anger and poor sleep are common, particularly in military and veteran populations, but the nature of the relationship is poorly understood, and treatment approaches would benefit from improved understanding of how these constructs interact. Ecological momentary assessment (EMA) is suitable for monitoring day-to-day fluctuations in symptoms, and modelling dynamic relationships between variables. METHODS: This study aimed to examine these fluctuations and relationships involving sleep quality and anger experiences among veterans. A sample of n = 60 veterans with problem anger as assessed by the recommended cut off on the Dimensions of Anger Reactions 5 scale (DAR-5) completed daily assessments of sleep quality and four times daily assessments of anger frequency, over a 10-day period. RESULTS: A Dynamic Structural Equation Model (DESM) estimated and revealed a unidirectional relationship across daily measurements, in that previous night poor sleep quality was associated with more frequent anger on the next day (φASi Estimate -0.791, one-tailed p = .075), but not the reverse. CONCLUSIONS: These are the first longitudinal, naturalistic findings in relation to anger and sleep in a sample self-identifying with significant anger problems. The observed patterns point to the need for further research on mechanisms underpinning this relationship, and raises potential for early intervention for problem anger to include a focus on improving sleep quality.

Cross-Lagged Relationships Between Insomnia and Posttraumatic Stress Disorder in Treatment-Receiving Veterans.

Insomnia is a risk factor for the development of posttraumatic stress disorder (PTSD) while it is also plausible that PTSD symptoms can maintain insomnia symptoms. The present study examined longitudinal bidirectional relationships between insomnia and PTSD symptoms in treatment-seeking veterans. Participants were 693 ex-serving members of the Australian Defence Force who participated in an accredited, hospital-based outpatient PTSD program. Participants completed self-reported assessments of PTSD and insomnia symptoms at four time points: intake, discharge, 3-month, and 9-months posttreatment follow-up. Cross-lagged pathway analyses indicated significant bi-directional pathways between insomnia symptoms and PTSD symptoms at most time points. A final cross-lagged model between insomnia symptoms and the PTSD symptom clusters indicated that the PTSD symptom paths on insomnia symptoms, between intake and discharge, were attributable to reexperiencing PTSD symptoms. In contrast, across posttreatment follow-up time points there were significant paths of insomnia symptoms on all PTSD symptom clusters except from insomnia at 3-months to avoidance symptom at 9-months. PTSD symptoms and insomnia symptoms have bidirectional associations over time that may lead to the mutual maintenance or exacerbation of each condition following PTSD treatment. Where residual insomnia symptoms are present post-treatment, a sleep-focussed intervention is indicated and a sequenced approach to treatment recommended.

Mental Health Consequences of Adversity in Australia: National Bushfires Associated With Increased Depressive Symptoms, While COVID-19 Pandemic Associated With Increased Symptoms of Anxiety.

High quality monitoring of mental health and well-being over an extended period is essential to understand how communities respond to the COVID-19 pandemic and how to best tailor interventions. Multiple community threats may also have cumulative impact on mental health, so examination across several contexts is important. The objective of this study is to report on changes in mental health and well-being in response to the Australian bushfires and COVID-19 pandemic. This study utilized an Experience-Sampling-Method (ESM), using the smartphone-based mood monitoring application, MoodPrism. Participants were prompted once a day to complete a brief survey inquiring about symptoms of depression and anxiety, and several well-being indices, including arousal, emotional valence, self-esteem, motivation, social connectedness, meaning and purpose, and control. Participants were N = 755 Australians (aged 13 years and above) who downloaded and used MoodPrism, between 2018 and 2020. Results showed that anxiety symptoms significantly increased during the COVID-19 pandemic, but not during the bushfires. This may be explained by concurrent feelings of social connectedness maintained during the bushfires but not during the pandemic. In contrast, depressive symptoms increased significantly during the bushfires, which maintained during the pandemic. Most indices of well-being decreased significantly during the bushfires, and further again during the pandemic. Study findings highlight the unique responses to the bushfire and COVID-19 crises, revealing specific areas of resilience and vulnerability. Such information can help inform the development of public health interventions or individual clinical treatment, to improve treatment approaches and preparedness for potential future community disasters.

Emotional Responses to Music: Shifts in Frontal Brain Asymmetry Mark Periods of Musical Change.

Recent studies have demonstrated increased activity in brain regions associated with emotion and reward when listening to pleasurable music. Unexpected change in musical features intensity and tempo - and thereby enhanced tension and anticipation - is proposed to be one of the primary mechanisms by which music induces a strong emotional response in listeners. Whether such musical features coincide with central measures of emotional response has not, however, been extensively examined. In this study, subjective and physiological measures of experienced emotion were obtained continuously from 18 participants (12 females, 6 males; 18-38 years) who listened to four stimuli-pleasant music, unpleasant music (dissonant manipulations of their own music), neutral music, and no music, in a counter-balanced order. Each stimulus was presented twice: electroencephalograph (EEG) data were collected during the first, while participants continuously subjectively rated the stimuli during the second presentation. Frontal asymmetry (FA) indices from frontal and temporal sites were calculated, and peak periods of bias toward the left (indicating a shift toward positive affect) were identified across the sample. The music pieces were also examined to define the temporal onset of key musical features. Subjective reports of emotional experience averaged across the condition confirmed participants rated their music selection as very positive, the scrambled music as negative, and the neutral music and silence as neither positive nor negative. Significant effects in FA were observed in the frontal electrode pair FC3-FC4, and the greatest increase in left bias from baseline was observed in response to pleasurable music. These results are consistent with findings from previous research. Peak FA responses at this site were also found to co-occur with key musical events relating to change, for instance, the introduction of a new motif, or an instrument change, or a change in low level acoustic factors such as pitch, dynamics or texture. These findings provide empirical support for the proposal that change in basic musical features is a fundamental trigger of emotional responses in listeners.

Development of a Mobile Phone App to Support Self-Monitoring of Emotional Well-Being: A Mental Health Digital Innovation.

BACKGROUND: Emotional well-being is a primary component of mental health and well-being. Monitoring changes in emotional state daily over extended periods is, however, difficult using traditional methodologies. Providing mental health support is also challenging when approximately only 1 in 2 people with mental health issues seek professional help. Mobile phone technology offers a sustainable means of enhancing self-management of emotional well-being. OBJECTIVE: This paper aims to describe the development of a mobile phone tool designed to monitor emotional changes in a natural everyday context and in real time. METHODS: This evidence-informed mobile phone app monitors emotional mental health and well-being, and it provides links to mental health organization websites and resources. The app obtains data via self-report psychological questionnaires, experience sampling methodology (ESM), and automated behavioral data collection. RESULTS: Feedback from 11 individuals (age range 16-52 years; 4 males, 7 females), who tested the app over 30 days, confirmed via survey and focus group methods that the app was functional and usable. CONCLUSIONS: Recommendations for future researchers and developers of mental health apps to be used for research are also presented. The methodology described in this paper offers a powerful tool for a range of potential mental health research studies and provides a valuable standard against which development of future mental health apps should be considered.