Physical Health Diagnoses Research Articles

Hypothyroidism in a Psychiatric Outpatient Population of People With Intellectual Disabilities.

Hypothyroidism is a chronic health condition which causes physical, cognitive and psychiatric symptoms. The prevalence of hypothyroidism in adults with intellectual disabilities is under researched. Hypothyroidism was examined among 463 patients within an outpatient intellectual disability psychiatric team. Clinic records were utilised for this study, including sociodemographic, psychiatric and physical health diagnoses. Among the 463 patients, 43 (9%) had hypothyroidism. Compared to those without hypothyroidism, the hypothyroid group were significantly older, more likely to be female, and had increased rates of high cholesterol, diabetes, Down's Syndrome and dementia. Rates of hypothyroidism within this cohort of patients with intellectual disabilities were high (9%). The results suggest hypothyroidism in intellectual disability should be the focus of prospective research, in larger, more representative samples. This study indicates a need for increased awareness of, and resources for hypothyroidism in health services.

Characterizing Veteran suicide decedents that were not classified as high-suicide-risk.

Although the Department of Veterans Affairs (VA) has made important suicide prevention advances, efforts primarily target high-risk patients with documented suicide risk, such as suicidal ideation, prior suicide attempts, and recent psychiatric hospitalization. Approximately 90% of VA patients that go on to die by suicide do not meet these high-risk criteria and therefore do not receive targeted suicide prevention services. In this study, we used national VA data to focus on patients that were not classified as high-risk, but died by suicide. Our sample included all VA patients who died by suicide in 2017 or 2018. We determined whether patients were classified as high-risk using the VA's machine learning risk prediction algorithm. After excluding these patients, we used principal component analysis to identify moderate-risk and low-risk patients and investigated demographics, service-usage, diagnoses, and social determinants of health differences across high-, moderate-, and low-risk subgroups. High-risk (n = 452) patients tended to be younger, White, unmarried, homeless, and have more mental health diagnoses compared to moderate- (n = 2149) and low-risk (n = 2209) patients. Moderate- and low-risk patients tended to be older, married, Black, and Native American or Pacific Islander, and have more physical health diagnoses compared to high-risk patients. Low-risk patients had more missing data than higher-risk patients. Study expands epidemiological understanding about non-high-risk suicide decedents, historically understudied and underserved populations. Findings raise concerns about reliance on machine learning risk prediction models that may be biased by relative underrepresentation of racial/ethnic minorities within health system.

Self-reported health profiles of trauma victims with and without psychiatric histories

BackgroundThis study examined associations between self-reported trauma exposure and physical health status after control of vari-ance associated with psychiatric disturbance. Physical and mental health diagnoses were examined among participants with and without histories of trauma and post-traumatic stress disorder (PTSD).Participants and procedureCollege (n = 2,320) and national (n = 663) respondents were surveyed to identify trauma histories defined using the primary DSM-5 diagnostic criterion for PTSD. Respondents also identified lifetime diagnoses for a range of medical and psychiatric conditions. They were also asked to provide a self-assessment of their own current physical health status using a ten-point scaling metric.ResultsSupport was found for all three hypotheses: (H1) Self-identified trauma was associated with higher prevalence rates for 16 of 18 medical diagnoses; (H2) PTSD diagnoses were associated with higher prevalence rates than trauma alone for 6 of 16 medical conditions; and (H3) Self-reported trauma was associated with higher prevalence rates for 7 of 18 medical condi-tions among respondents who denied psychiatric histories.ConclusionsTrauma exposure both with and without co-occurring psychiatric illness was associated with substantially higher rates of self-reported physical illness. Practitioners and researchers should recognize the potential significance of self-identified trauma and the range of potential biosocial implications that may warrant monitoring.

Absence of nonfatal suicidal behavior preceding suicide death reveals differences in clinical risks.

Nonfatal suicidality is the most robust predictor of suicide death. However, only ~10% of those who survive an attempt go on to die by suicide. Moreover, ~50% of suicide deaths occur in the absence of prior known attempts, suggesting risks other than nonfatal suicide attempt need to be identified. We studied data from 4,000 population-ascertained suicide deaths and 26,191 population controls to improve understanding of risks leading to suicide death. This study included 2,253 suicide deaths and 3,375 controls with evidence of nonfatal suicidality (SUI_SI/SB and CTL_SI/SB) from diagnostic codes and natural language processing of electronic health records notes. Characteristics of these groups were compared to 1,669 suicides with no prior nonfatal SI/SB (SUI_None) and 22,816 controls with no lifetime suicidality (CTL_None). The SUI_None and CTL_None groups had fewer diagnoses and were older than SUI_SI/SB and CTL_SI/SB. Mental health diagnoses were far less common in both the SUI_None and CTL_None groups; mental health problems were less associated with suicide death than with presence of SI/SB. Physical health diagnoses were conversely more often associated with risk of suicide death than with presence of SI/SB. Pending replication, results indicate highly significant clinical differences among suicide deaths with versus without prior nonfatal SI/SB.

Pediatric Health and System Impacts of Mass Incarceration, 2009–2020: A Matched Cohort Study

ObjectiveThe US has the highest incarceration rate in the world; incarceration’s direct and indirect toll on the health and health care use of youth is rarely investigated. We sought to compare the health of youth with known personal or family justice involvement and a matched cohort of youth without known personal/family justice involvement. MethodsA cross-sectional matched parallel cohort study was conducted. We queried electronic health records on youth (<21 years) with a visit in a large Midwestern pediatric hospital-based institution from January 2009 to December 2020. Youth were located by searching for justice-related (eg, prison, jail) keywords within all clinician notes. Health diagnostic profiles were measured using ICD 9/10 codes. Health care use included total admissions, inpatient days, emergent and urgent visits, and outpatient visits. ResultsAcross all youth at one institution over an 11-year period, 2.2% (N = 38,263) were identified as having probable personal or family justice-involvement. Youth with personal or familial justice involvement had 1.5–16.2 times the prevalence of mental health and physical health diagnoses across all domain groupings compared to a matched sample and the total population sample. From 2009–2020, approximately two-thirds of behavioral health care and nearly a quarter of all hospital inpatient days were attributed to the 2.2% of youth with probable personal or familial justice system involvement. ConclusionThe study illuminates the vast disparities between youth with indirect or direct contact with the criminal legal system and matched youth with no documented contact. Better investment in monitoring and prevention efforts are needed.

EXERCISE PHYSIOLOGY SERVICES FOR INPATIENTS IN AN ACUTE TRANSDIAGNOSTIC MENTAL HEALTH SERVICE

BACKGROUND &amp; AIMS Exercise interventions are increasingly utilised in mental health services to mitigate the poor physical health and elevated health risks seen in mental illness. To-date much of the research has focused on specific diagnostic classifications, rather than the commonly occurring transdiagnostic presentation. We sought to determine the feasibility of exercise physiology services for inpatients in an acute, transdiagnostic mental health service and whether general affect changed following exercise sessions. METHODS Data was collected from service records over a period spanning January 2020 – August 2022, and patient demographics and service information were explored. Additionally, a subset of inpatients (n= 108), reported perceptions of exercise and associations between variables were assessed between- and within-person. RESULTS During the 32-month audit 371 inpatients engaged, mean age 36 years (SD=12.33, range = 18-69) and mean length of stay was 36 days (SD=45, range = 3-445). The most frequent principal diagnosis was Schizophrenia or other psychotic disorder (38.4%), with 72% of inpatients had multiple psychiatric diagnoses. Physical health comorbidity was common, with 56% of patients having physical health diagnoses, predominantly cardiometabolic diseases (n= 94). There were 1386 exercise service engagements, with patient engagement ranging from 1-36 exercise session during their stay, of which 98.7% were in the hospital gym. There was a significant positive change in affect, with exertion was not related to changes in affect, however those who exercised for greater than 30min saw larger positive changes in affect. CONCLUSION Embedding Clinical Exercise Physiology services within mental healthcare settings can provide tailored exercise interventions for people with transdiagnostic presentations to address both physical and mental health outcomes. Participation in—and importantly, enjoyment of—exercise was linked to changes in general affect and may present a novel and important component of acute mood support for those in inpatient services.

Risk and protective factors for self-harm and suicide behaviours among serving and ex-serving personnel of the UK Armed Forces, Canadian Armed Forces, Australian Defence Force and New Zealand Defence Force: A systematic review.

Self-harm and suicide behaviours are a major public health concern. Several factors are associated with these behaviours among military communities. Identifying these factors may have important implications for policy and clinical services. The aim of this review was to identify the risk and protective factors associated with self-harm and suicide behaviours among serving and ex-serving personnel of the United Kingdom Armed Forces, Canadian Armed Forces, Australian Defence Force and New Zealand Defence Force. A systematic search of seven online databases (PubMed, Web of Science, Embase, Global Health, PsycINFO, PTSDpubs and CINAHL) was conducted alongside cross-referencing, in October 2022. Following an a priori PROSPERO approved protocol (CRD42022348867), papers were independently screened and assessed for quality. Data were synthesised using a narrative approach. Overall, 28 papers were included: 13 from Canada, 10 from the United Kingdom, five from Australia and none from New Zealand. Identified risk factors included being single/ex-relationship, early service leavers, shorter length of service (but not necessarily early service leavers), junior ranks, exposure to deployment-related traumatic events, physical and mental health diagnoses, and experience of childhood adversity. Protective factors included being married/in a relationship, higher educational attainment, employment, senior ranks, and higher levels of perceived social support. Adequate care and support are a necessity for the military community. Prevention and intervention strategies for self-harm and suicide behaviours may be introduced early and may promote social networks as a key source of support. This review found a paucity of peer-reviewed research within some populations. More peer-reviewed research is needed, particularly among these populations where current work is limited, and regarding modifiable risk and protective factors.

The nature and impact of antidepressant withdrawal symptoms and proposal of the Discriminatory Antidepressant Withdrawal Symptoms Scale (DAWSS)

BackgroundWe sought to understand more about the nature and possible consequences of antidepressant withdrawal. MethodsWe surveyed members of 20 peer-led, online groups, assessing 31 commonly reported antidepressant withdrawal symptoms. ResultsThere were 1148 respondents, who were mostly white, female and educated. For 40 % of respondents, withdrawal symptoms had lasted more than 2 years and 80 % were moderately or severely impacted by them. One in four were unable to stop their antidepressant. Reported consequences of withdrawal included impaired work function (56 %), losing jobs (20 %), taking sick leave (27 %), and relationship breakdown (25 %). Both emotional and physical symptoms newly occurred or increased in severity following antidepressant withdrawal compared to before starting antidepressants. There was no difference in the nature of symptoms, severity or duration between people with physical or mental health diagnoses. We have proposed a potential Discriminatory Antidepressant Withdrawal Symptoms Scale (DAWSS), comprising the 15 symptoms most specific to withdrawal (including electric shock sensations, dizziness, akathisia or restlessness, vertigo, and vomiting), which requires further validation. LimitationsThe sample was derived from peer support groups and is not representative of everyone who undergoes antidepressant withdrawal. The cross-sectional design precludes establishing causal relationships between variables. ConclusionsOur findings suggest there is a distinctive antidepressant withdrawal syndrome characterised by a range of emotional and physical symptoms, which can be severe, prolonged and have profound impact. The DAWSS may be helpful in distinguishing withdrawal from underlying conditions. Health services need to provide evidence-based clinical advice and support to people on long-term antidepressants.

Behavioral weight management use in the Veterans Health Administration: Sociodemographic and health correlates

IntroductionOver 40 % of United States Veterans Health Administration (VHA) primary care patients have obesity. Few patients use VHA's flagship weight management program, MOVE! and there is little information on other behavioral weight management program use. MethodsThe national United States cohort included over 1.5 million primary care patients with obesity, age 18–79, based on VHA administrative data. Gender stratified multivariable logistic regression identified correlates of weight management use in the year after a patient's first primary care appointment (alpha of 0.05). Weight management use was defined as MOVE! or nutrition clinic visits. ResultsThe cohort included 121,235 women and 1,521,547 men with 13 % and 7 % using weight management, respectively. Point estimates for specific correlates of use were similar between women and men, and across programs. Black patients were more likely to use weight management than White patients. Several physical and mental health diagnoses were also associated with increased use, such as sleep apnea and eating disorders. Age and distance from VHA were negatively associated with weight management use. ConclusionsWhen assessing multiple types of weight management visits, weight management care in VHA appears to be used more often by some populations at higher risk for obesity. Other groups may need additional outreach, such as those living far from VHA. Future work should focus on outreach and prevention efforts to increase overall use rates. This work could also examine the benefits of tailoring care for populations in greatest need.

Artificial Intelligence: A Game-Changer for Mental Health Care.

Starting from the escalating global burden of mental health disorders, exacerbated by the COVID-19 pandemic, the article examines the potential of artificial intelligence (AI) to revolutionize mental health care. With nearly one in five adults facing mental health issues and suicide ranking as a leading cause of death among the young, the strained mental health system seeks innovative solutions. The text discusses the rapid evolution of AI, particularly in image analysis for early physical health diagnoses, and its promising applications in mental health, including predictive analytics for various disorders. AI's ability to analyze written language, speech characteristics, and physiological signals from wearables offers avenues for remote monitoring and early prognosis. Despite the need to address ethical considerations, particularly biases in data sets and concerns about potential patient detachment, the article advocates for AI as a complementary tool rather than a replacement for human involvement in mental health services. Overall, the article emphasizes the transformative potential of AI in enhancing diagnostics, monitoring, and treatment strategies for mental health disorders.

Initiation and Receipt of Medication for Opioid Use Disorder Among Adolescents and Young Adults in 4 State Medicaid Programs in 2018: Improving Medicaid Quality Metrics.

Medications for opioid use disorder (MOUD) in youth can reduce harms but many youths do not receive MOUD. Improving quality metrics of MOUD among youth can advance interventions for youth with opioid use disorder (OUD). We relied on 2018 Medicaid claims data from California, Colorado, Massachusetts, and New Mexico. We calculated the percentage of youth with OUD included in the quality metric for initiation, and the percentage who initiated by state. We also calculated the percentage excluded from the quality metric for initiation because they have an existing episode of OUD care and their MOUD receipt. We compared the characteristics of those who initiated/received MOUD to those who did not and compared state estimates after adjusting for age and health conditions. Estimates of initiation exclude about half of the youth with OUD because they were in an existing episode of OUD care and could not be observed initiating. Among youth in a new episode of OUD care, only about 1 in 4 initiated and state estimates varied from 18.9% to 40.1%. Among youth with an existing episode of OUD care, more than half received MOUD and state estimates ranged from 35.2% to 71.3%. Youth who initiated MOUD or received MOUD with an existing OUD had more severe OUD but fewer co-occurring substance use disorders or mental or physical health diagnoses. After adjusting for age and health conditions, MOUD still varied substantially across states. Most youth with a new OUD diagnosis do not initiate MOUD but more than half of the youth in an existing OUD diagnosis receive MOUD. MOUD quality metrics that are disaggregated, adjusted, and inclusive of youth in an existing episode of care provide additional insight into opportunities to better support youth who might choose MOUD. State differences should be further studied for insight into policies that may affect MOUD.

노인의 자살 충동과 삶의 질 사이에서 비활동 시간의 매개 효과와 조절 효과

Objective : This study aims to analyze the impact of suicidal ideation on individuals’ quality of life, and to understand the role of sedentary time in this relationship, with a focus on the elderly population in preparation for the era of super-aging. Methods : Utilizing raw data from the Korea Centers for Disease Control and Prevention's Korea National Health &amp; Nutrition Examination Survey for the years 2019 and 2020, a total of 1,833 records were analyzed. Variables included gender, age, quality of life, perceived stress levels, suicidal ideation, physical activity status, subjective health, sedentary time, and depression diagnosis&#x0D; status. Regression analysis was conducted to analyze the relationship between suicidal ideation and quality of life, and the Process Macro was employed to analyze the mediating and moderating effects of sedentary time. Results : Among the group with suicidal ideation, there were higher levels of stress, presence of suicide plans, lower levels of physical activity, and an overall decrease in quality of life. Subjective health status, sedentary time, and age were identified as factors influencing quality of life. Moreover, sedentary time was found to play a mediating role as well as a moderating role in the relationship between suicidal ideation and quality of life. Conclusion : The study confirms the negative impact of suicidal ideation on quality of life and elucidates the moderating role of sedentary behavior in this relationship. These findings provide critical insights for the development of strategies aimed at suicide prevention and improving quality of life. Recommendations include providing appropriate support to those experiencing suicidal ideation and promoting lifestyle modifications to reduce sedentary time, thereby maintaining and enhancing quality of life.

Specific domains of positive childhood experiences (PCEs) associated with improved adult health: A nationally representative study

BackgroundPositive childhood experiences (PCEs) are supportive relationships and environments associated with improved health when aggregated into composite scores. Adverse childhood experiences (ACEs), a reciprocal measure to PCEs, are associated with worse health in aggregate scores and when disaggregated into measures of specific ACE types (hereafter domains). Understanding the associations between specific PCE domains and health, while accounting for ACEs, may direct investigations and intervention planning to foster PCE exposure. MethodsWe analyzed data from the nationally representative United States longitudinal Panel Study of Income Dynamics. Five PCE domains were examined: (i) peer support and healthy school climate, (ii) neighborhood safety, (iii) neighborhood support, and nurturing relationships with (iv) maternal and (v) paternal figures. Survey weighted logistic regression models tested associations between each PCE domain measure and adult general health rating, controlling for demographic covariates and nine ACE exposures: physical, emotional, or sexual abuse/assault; emotional neglect; witnessing intimate partner violence or household substance use; having a parent with mental illness; any parental separation or divorce; and/or having a deceased or estranged parent. Secondary outcomes included adult functional status and mental and physical health diagnoses. We also tested for statistical interactions between PCE domain and ACE score measures. ResultsThe sample included 7105 adults. Higher scores for the “peer support and healthy school climate” and “neighborhood safety” domain measures showed the most protective relationships with the adverse health conditions tested, most notably for mental illness. The relationship between PCE domain measures and health outcomes was attenuated, but not statistically moderated by ACE exposure. ConclusionExperiencing childhood peer support, a healthy school climate, and neighborhood safety were especially protective against multiple adult health conditions, including for ACE exposed individuals. Interventions that promote PCEs may yield population health gains.

Hospital admissions for physical health and psychosocial adversity among people experiencing homelessness in England: a population-based retrospective cross-sectional study

BackgroundHomeless health care is often characterised by physical health, mental health, and substance use problems, resulting in high use of emergency care, poor outcomes, and extreme social inequities. We assessed health needs as prevention opportunities for hospitalised people experiencing homelessness (PEH) in England. MethodsThis population-based retrospective cross-sectional study used anonymised national Hospital Episodes Statistics Admitted Patient Care data. PEH were identified as having at least one homeless code (“no fixed abode”, “registered with a homeless-exclusive GP practice”, “clinical diagnosis of homelessness”) from April 1, 2017, to March 31, 2018. We analysed admissions for PEH and for housed people. We estimated the prevalence of demographic and admission characteristics and diagnoses by 10th International Classification of Disease (ICD-10) chapter. We developed novel diagnostic phenotypes for physical health (internal disease processes) and psychosocial adversity (mental health, substance use, violence, and social factors). We compared admissions between PEH and housed people using sex-stratified logistic regression adjusted for age and ethnicity. FindingsThere were 15 566 010 admissions (51 643 PEH and 15 514 367 housed people). Compared with housed people, proportionately more PEH were younger (PEH aged 26–45 years, n=24 224 [46·9%], housed people n=3 323 951 [21·4%]), male (PEH n=37 662 [72·9%], housed people n=6 819 157 [44·0%]), and not White British (PEH n=14 605 [28·3%], housed people n=3 447 183 [22·2%]). Emergency admissions were more common among PEH (PEH male n=30 958 [82·2%], housed people male n=5 321 428 [34·3%], adjusted odds ratio [aOR] 8·76, 95% CI 8·53–9·00). The most common primary diagnoses by ICD-10 chapter for PEH were mental and behavioural conditions (PEH male n=7118 admissions [18·9%], housed people male n=155 144 [1·0%], 12·97, 12·61–13·34). Admissions for the psychosocial adversity phenotype were higher in PEH, particularly for women (PEH female n=3922 [28·1%], housed people female n=155 644 [1·79%], 18·18, 17·50–18·88). Physical health phenotype admissions were less common in PEH (PEH male n=7510 [19·9%], housed people male n=1 821 397 [26·7%], 0·91, 0·89–0·94), but specific infections, cancers, respiratory, and cardiovascular diseases were more common among PEH for both men and women. InterpretationThese results support targeting of preventative interventions for PEH before, during and after admission to hospital, highlighting psychosocial needs. Future research should aim to produce reliable estimates of the size of the national homeless population to enable calculation of admission rates for psychosocial and physical health diagnoses. FundingNational Institute for Health and Care Research (NIHR).

The feasibility of identifying health inequalities in social prescribing referrals and declines using primary care patient records.

Social prescribing (SP) is part of universal personalised care and available to everyone in the UK National Health Service. However, emerging evidence suggests access disparities in social prescribing. This study aimed to investigate the feasibility of using primary care records to access and analyse data on social prescribing. Our secondary aim was to compare characteristics of patients who are offered referral, referred to or decline referral for social prescribing to explore possible inequalities in access to social prescribing. Patient records (n=3086) were extracted from 11 GP practices across Northwest England for accepted, offered and declined social prescribing referrals. Patient demographics collected included sex, age, ethnicity, mental and physical health diagnoses. Patient characteristics in social prescribing referrals were compared to the overall practice population (practice information from Public Health England). Referral and decline rates were compared by group (e.g. male/female decline rates). GP referral data showed inconsistent recording of wider determinants of health. Patient age, sex and mental and physical health conditions were consistently recorded. Other variables (marital status, interpreter need, education, disability, sexual orientation, non-English language, nationality) were recorded only sporadically and could not be used for analysis. Practices varied in referral patterns. Our preliminary findings identified under-referring of younger age groups and Asians, and higher declined referrals among individuals with physical health diagnoses. Recording discrepancies meant that many patient factors could not be used to identify trends in social prescribing referrals and declines and assess equity. Primary care data recording must be consistent to understand SP referral trends and inequalities relating to the wider determinants of health. Preliminary results suggest some patient groups may be underrepresented in SP referrals, however this requires further investigation.

Healthcare utilization and readiness outcomes among soldiers with post-deployment at-risk drinking, by multimorbidity class

Although alcohol use disorder (AUD) regularly co-occurs with other conditions, there has not been investigation of specific multimorbidity classes among military members with at-risk alcohol use. We used latent class analysis (LCA) to cluster 138,929 soldiers with post-deployment at-risk drinking based on their co-occurring psychological and physical health conditions and indicators of alcohol severity. We examined the association of these multimorbidity classes with healthcare utilization and military readiness outcomes. Latent class analysis was conducted on 31 dichotomous indicators capturing alcohol use severity, mental health screens, psychological and physical health diagnoses, and tobacco use. Longitudinal survival analysis was used to examine the relative hazards of class membership regarding healthcare utilization (e.g., emergency department visit, inpatient stay) and readiness outcomes (e.g., early separation for misconduct). Latent class analysis identified five classes: Class 1 –Relatively Healthy (51.6 %); Class 2 – Pain/Tobacco (17.3 %); Class 3 – Heavy Drinking/Pain/Tobacco (13.1 %); Class 4 – Mental Health/Pain/Tobacco (12.7 %); and Class 5 – Heavy Drinking/Mental Health/Pain/Tobacco (5.4 %). Musculoskeletal pain and tobacco use were prevalent in all classes, though highest in Classes 2, 4, and 5. Classes 4 and 5 had the highest hazards of all outcomes. Class 5 generally exhibited slightly higher hazards of all outcomes than Class 4, demonstrating the exacerbation of risk among those with heavy drinking/AUD in combination with mental health conditions and other multimorbidity. This study provides new information about the most common multimorbidity presentations of at-risk drinkers in the military so that targeted, individualized care may be employed. Future research is needed to determine whether tailored prevention and treatment approaches for soldiers in different multimorbidity classes is associated with improved outcomes.

Sociodemographic Characteristics and Mental and Physical Health Diagnoses of Yazidi Refugees Who Survived the Daesh Genocide and Resettled in Canada

ImportanceThe health status of Yazidi refugees, a group of ethnoreligious minority individuals from northern Iraq who resettled in Canada between 2017 and 2018 after experiencing genocide, displacement, and enslavement by the Islamic State (Daesh), is unknown but important to guide health care and future resettlement planning for Yazidi refugees and other genocide victims. In addition, resettled Yazidi refugees requested documentation of the health impacts of the Daesh genocide.ObjectiveTo characterize sociodemographic characteristics, mental and physical health conditions, and family separations among Yazidi refugees who resettled in Canada.Design, Setting, and ParticipantsThis retrospective clinician- and community-engaged cross-sectional study included 242 Yazidi refugees seen at a Canadian refugee clinic between February 24, 2017, and August 24, 2018. Sociodemographic and clinical diagnoses were extracted through review of electronic medical records. Two reviewers independently categorized patients’ diagnoses by International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes and ICD-10-CM chapter groups. Diagnosis frequencies were calculated and stratified by age group and sex. Five expert refugee clinicians used a modified Delphi approach to identify diagnoses likely to be associated with Daesh exposure, then corroborated these findings with Yazidi leader coinvestigators. A total of 12 patients without identified diagnoses during the study period were excluded from the analysis of health conditions. Data were analyzed from September 1, 2019, to November 30, 2022.Main Outcomes and MeasuresSociodemographic characteristics; exposure to Daesh captivity, torture, or violence (hereinafter, Daesh exposure); mental and physical health diagnoses; and family separations.ResultsAmong 242 Yazidi refugees, the median (IQR) age was 19.5 (10.0-30.0) years, and 141 (58.3%) were female. A total of 124 refugees (51.2%) had direct Daesh exposure, and 60 of 63 families (95.2%) experienced family separations after resettlement. Among 230 refugees included in the health conditions analysis, the most common clinical diagnoses were abdominal and pelvic pain (47 patients [20.4%]), iron deficiency (43 patients [18.7%]), anemia (36 patients [15.7%]), and posttraumatic stress disorder (33 patients [14.3%]). Frequently identified ICD-10-CM chapters were symptoms and signs (113 patients [49.1%]), nutritional diseases (86 patients [37.4%]), mental and behavioral disorders (77 patients [33.5%]), and infectious and parasitic diseases (72 patients [31.3%]). Clinicians identified mental health conditions (74 patients [32.2%]), suspected somatoform disorders (111 patients [48.3%]), and sexual and physical violence (26 patients [11.3%]) as likely to be associated with Daesh exposure.Conclusions and RelevanceIn this cross-sectional study, Yazidi refugees who resettled in Canada after surviving the Daesh genocide experienced substantial trauma, complex mental and physical health conditions, and nearly universal family separations. These findings highlight the need for comprehensive health care, community engagement, and family reunification and may inform care for other refugees and genocide victims.

Predictors of individual mental health and psychological resilience after Australia's 2019-2020 bushfires.

We assessed the mental health effects of Australia's 2019-2020 bushfires 12-18 months later, predicting psychological distress and positive psychological outcomes from bushfire exposure and a range of demographic variables, and seeking insights to enhance disaster preparedness and resilience planning for different profiles of people. We surveyed 3083 bushfire-affected and non-affected Australian residents about their experiences of bushfire, COVID-19, psychological distress (depression, anxiety, stress, post-traumatic stress disorder) and positive psychological outcomes (resilient coping, wellbeing). We found high rates of distress across all participants, exacerbated by severity of bushfire exposure. For people who were bushfire-affected, being older, having less financial stress, and having no or fewer pre-existing mental disorders predicted both lower distress and higher positive outcomes. Being male or having less income loss also predicted positive outcomes. Severity of exposure, higher education and higher COVID-19-related stressors predicted both higher distress and higher positive outcomes. Pre-existing physical health diagnosis and previous bushfire experience did not significantly predict distress or positive outcomes. To promote disaster resilience, we recommend investment in mental health, particularly for younger adults and for those in rural and remote areas. We also recommend investment in mechanisms to protect against financial distress and the development of a broader definition of bushfire-related impacts than is currently used to capture brushfires' far-reaching effects.

Mortality and cause of death during inpatient psychiatric care in New South Wales, Australia: A retrospective linked data study

BackgroundPremature mortality in people with mental illness is well-documented, yet deaths during inpatient psychiatric care have received little research attention. This study investigates mortality rates and causes of death during inpatient psychiatric care in New South Wales (NSW), Australia. Risk factors for inpatient death were also explored. MethodsA retrospective cohort study using linked administrative datasets with complete capture of psychiatric admissions in NSW from 2002 to 2012 (n = 421,580) was conducted. Univariate and multivariate random-effects logistic regression analyses were used to explore risk factors for inpatient death. ResultsThe mortality rate during inpatient psychiatric care was 1.12 deaths per 1000 episodes of care and appeared to decline over the study period. Suicide accounted for 17% of inpatient deaths, while physical health causes accounted for 75% of all deaths. Thirty percent of these deaths were considered potentially avoidable. In the multivariate model, male sex, unknown address and several physical health diagnoses were associated with increased deaths. ConclusionsThe mortality rate and number of avoidable deaths during inpatient psychiatric care were substantial and warrant further systemic investigation. This was driven by a dual burden of physical health conditions and suicide. Strategies to improve access to physical health care on psychiatric inpatient wards and prevent inpatient suicide are necessary. A coordinated approach to monitoring psychiatric inpatient deaths in Australia is not currently available and much needed.

Sociodemographic circumstances, health, and life experience shape posttraumatic distress trajectories among individuals exposed to smoke during a large-scale coal mine fire.

The 2014 Hazelwood coal mine fire in the Latrobe Valley, Australia, distributed toxic smoke into surrounding communities over 45 days. This study investigated risk and protective factors associated with four trajectories of posttraumatic distress (resilient, recovery, delayed-onset, chronic) among exposed adults. Participants (N = 709) completed surveys in 2016-2017 and 2019-2020 assessing mine fire-related particulate matter (PM2.5 ) exposure; sociodemographic, physical, and mental health variables; and exposure to other traumatic and recent stressful events. Mine fire-related posttraumatic distress was measured using the IES-R; trajectories were determined according to established clinical significance thresholds. Relative risk ratios (RRRs) were generated from multivariate multinomial regressions. The resilient trajectory was most common (77.0%). The chronic trajectory (8.5%) was associated with loneliness, RRR = 2.59, 95% CI [1.30, 5.16], and physical health diagnoses, RRR = 2.31, 95% CI [1.32, 4.02]. The delayed-onset trajectory (9.1%) was associated with multiple recent stressful events, RRR = 2.51, 95% CI [1.37, 4.59]; mental health diagnoses, RRR = 2.30, 95% CI [1.25, 4.24]; loneliness, RRR = 2.05, 95% CI [1.09, 3.88]; and male gender, RRR = 2.01, 95% CI [1.18, 3.44]. Socioeconomic advantage protected against chronic, RRR = 0.68, 95% CI [0.53, 0.86], and delayed-onset trajectory membership, RRR = 0.68, 95% CI [0.50, 0.94]; social support protected against chronic trajectory membership, RRR = 0.67, 95% CI [0.49, 0.92]. PM2.5 exposure did not determine trajectory. These findings enhance understanding of longer-term posttraumatic responses to large-scale smoke events and can inform mental health initiatives within at-risk communities.