Prognosis and risk of suicide after cancer diagnosis.

INTRODUCTION: Suicide rates are elevated after cancer diagnosis. Existential distress caused by awareness of one's impending death is well-described in patients with cancer. The authors hypothesized that suicide risk is associated with cancer prognosis, and the impact of prognosis on suicide risk is greatest for populations with higher baseline suicide risk. METHODS: The authors identified patients (≥16 years old) with newly diagnosed cancers from 2000 to 2019 in the Surveillance, Epidemiology, and End Results database, representing 27% of US cancers. Multiple primary-standardized mortality ratios (SMR) were used to estimate the relative risk of suicide within 6 months of diagnosis compared to the general US population, adjusted for age, sex, race, and year of follow-up. Suicide rates by 20 most common cancer sites were compared with respective 2-year overall survival rates (i.e., prognosis) using a weighted linear regression model. RESULTS: Among 6,754,704 persons diagnosed with cancer, there were 1610 suicide deaths within 6 months of diagnosis, three times higher than the general population (SMR = 3.1; 95% confidence interval, 3.0-3.3). Suicide risk by cancer site was closely associated with overall prognosis (9.5%/percent survival deficit, R2  = 0.88, p < .0001). The association of prognosis with suicide risk became attenuated over time. For men, the risk of suicide increased by 2.8 suicide deaths per 100,000 person-years (p < .0001) versus 0.3 in women (p < .0001). The risk was also higher for persons ≥60 old and for the White (vs. Black) race. CONCLUSIONS: Poorer prognosis was closely associated with suicide risk early after cancer diagnosis and had a greater effect on populations with higher baseline risks of suicide. This model highlights the need for enhanced psychiatric surveillance and continued research in this patient population.

Fatal Drug Overdose Risks of Health Care Workers in the United States : A Population-Based Cohort Study.

BACKGROUND: Despite an unprecedented increase in drug overdose deaths in the United States, the risks faced by U.S. health care workers, who often have access to controlled prescription drugs, are not known. OBJECTIVE: To estimate risks for drug overdose death among health care workers relative to non-health care workers. DESIGN: Prospective cohort study. SETTING: United States. PARTICIPANTS: Health care workers (n = 176 000) and non-health care workers (n = 1 662 000) aged 26 years or older surveyed in 2008 and followed for cause of death through 2019. MEASUREMENTS: Age- and sex-standardized drug overdose deaths were determined for 6 health care worker groups (physicians, registered nurses, other treating or diagnosing health care workers, health technicians, health care support workers, and social or behavioral health workers) and non-health care workers. Adjusted drug overdose death hazards (and 95% CIs) were also evaluated, with adjustment for age, sex, race/ethnicity, marital status, education, income, urban or rural residence, and region. RESULTS: Approximately 0.07% of our study sample died of a drug overdose during follow-up. Among health care workers, annual standardized rates of drug overdose death per 100 000 persons ranged from 2.3 (95% CI, 0 to 4.8) for physicians to 15.5 (CI, 9.8 to 21.2) for social or behavioral health workers. Compared with those for non-health care workers, the adjusted hazards of total drug overdose death were significantly increased for social or behavioral health workers (adjusted hazard ratio, 2.55 [CI, 1.74 to 3.73]), registered nurses (adjusted hazard ratio, 2.22 [CI, 1.57 to 3.13]), and health care support workers (adjusted hazard ratio, 1.60 [CI, 1.19 to 2.16]), but not for physicians (adjusted hazard ratio, 0.61 [CI, 0.19 to 1.93]), other treating or diagnosing health care workers (adjusted hazard ratio, 0.93 [CI, 0.44 to 1.95]), or health technicians (adjusted hazard ratio, 1.13 [CI, 0.75 to 1.68]). Results were generally similar for opioid-related overdose deaths and unintentional overdose deaths. LIMITATION: Unmeasured confounding, uncertain validity of cause of death, and one-time assessment of occupation. CONCLUSION: Registered nurses, social or behavioral health workers, and health care support workers were at increased risk for drug overdose death, suggesting the need to identify and intervene on those at high risk. PRIMARY FUNDING SOURCE: National Heart, Lung, and Blood Institute.

Toward a generalized developmental model of psychopathological liabilities and psychiatric disorders.

BACKGROUND: Most psychiatric disorders are associated with several risk factors, but a few underlying psychopathological dimensions account for the common co-occurrence of disorders. If these underlying psychopathological dimensions mediate associations of the risk factors with psychiatric disorders, it would support a trans-diagnostic orientation to etiological research and treatment development. METHOD: An analysis was performed of the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions III (NESARC-III), a US nationally representative sample of non-institutionalized civilian adults, focusing on respondents who were aged ⩾21 (n = 34 712). Structural equation modeling was used to identify the psychopathological dimensions underlying psychiatric disorders; to examine associations between risk factors, psychopathological dimensions and individual disorders; and to test whether associations of risk factors occurring earlier in life were mediated by risk factors occurring later in life. RESULTS: A bifactor model of 13 axis I disorders provided a good fit (CFI = 0.987, TLI = 0.982, and RMSEA = 0.011) including an overall psychopathology factor as measured by all 13 disorders and 2 specific factors, one for externalizing disorders and one for fear-related disorders. A substantial proportion of the total effects of the risk factors occurring early in life were indirectly mediated through factors occurring later in life. All risk factors showed a significant total effect on the general psychopathology, externalizing and fear-related factors. Only 23 of 325 direct associations of risk factors with psychiatric disorders achieved statistical significance. CONCLUSION: Most risk factors for psychiatric disorders are mediated through broad psychopathological dimensions. The central role of these dimensions supports trans-diagnostic etiological and intervention research.

Data needs and models for the opioid epidemic.

The evolving nature of the opioid epidemic and continued increases in overdose deaths highlight a need for fundamental change in the collection and use of surveillance data to link them to implementation of effective service, treatment, and prevention approaches. Yet at present, the quality and timeliness of US surveillance data often limits data-driven approaches. We review current information needs, summarize limitations of existing data, propose complementary surveillance resources, and provide examples of promising approaches designed to meet the needs of data end-users. We conclude that there is a need for an approach that focuses on the needs of data end-users, such as public health systems leaders, policy makers, public, nonprofit and prepaid healthcare systems, and other systems, such as the justice system. Such an approach, which may require investments in new infrastructure, should prioritize improvements in data timeliness, sample representativeness, database linkage, and increased flexibility to adapt to shifts in the environment, while preserving the privacy of survey participants. Use of simulations, distributed research and data networks, alternative data sources, such as wastewater or digital data collection and use of blockchain technology, are some of promising avenues toward an improved and more user-centered surveillance system.

Investigating the Associations of Sexual Minority Stressors and Incident Hypertension in a Community Sample of Sexual Minority Adults.

BACKGROUND: Sexual minority adults are at higher risk of hypertension than their heterosexual counterparts. Sexual minority stressors (i.e., unique stressors attributed to sexual minority identity) are associated with a variety of poor mental and physical health outcomes. Previous research has not tested associations between sexual minority stressors and incident hypertension among sexual minority adults. PURPOSE: To examine the associations between sexual minority stressors and incident hypertension among sexual minority adults assigned female sex at birth. METHODS: Using data from a longitudinal study, we examined associations between three sexual minority stressors and self-reported hypertension. We ran multiple logistic regression models to estimate the associations between sexual minority stressors and hypertension. We conducted exploratory analyses to determine whether these associations differed by race/ethnicity and sexual identity (e.g., lesbian/gay vs. bisexual). RESULTS: The sample included 380 adults, mean age 38.4 (± 12.81) years. Approximately 54.5% were people of color and 93.9% were female-identified. Mean follow-up was 7.0 (± 0.6) years; during which 12.4% were diagnosed with hypertension. We found that a 1-standard deviation increase in internalized homophobia was associated with higher odds of developing hypertension (AOR 1.48, 95% Cl: 1.06-2.07). Stigma consciousness (AOR 0.85, 95% CI: 0.56-1.26) and experiences of discrimination (AOR 1.07, 95% CI: 0.72-1.52) were not associated with hypertension. The associations of sexual minority stressors with hypertension did not differ by race/ethnicity or sexual identity. CONCLUSIONS: This is the first study to examine the associations between sexual minority stressors and incident hypertension in sexual minority adults. Implications for future studies are highlighted.

High blood pressure (HBP) is a major public health concern in the USA. Sexual minority adults (such as gay/lesbian or bisexual) are at greater risk of HBP than heterosexual adults. However, the reasons for this difference have not been studied. Sexual minority stressors are unique stressors specific to sexual minority individuals. Multiple studies have shown that sexual minority stressors, such as internalized homophobia (defined as someone's internalization of negative societal values towards sexual minority individuals), stigma consciousness (defined as the extent that someone expects to be stereotyped), and experiences of discrimination due to sexual identity, are associated with poor health outcomes. Yet, the relationship between these stressors and HBP has not been studied in this population. In our study, we examined the associations between sexual minority stressors and newly diagnosed HBP among sexual minority adults. Those who reported more internalized homophobia had a higher likelihood of developing HBP within 7 years. There were no significant associations between other sexual minority stressors and HBP. We also found no differences in the associations of sexual minority stressors and HBP by race/ethnicity or sexual identity. Findings highlight the importance of educating healthcare professionals about risk factors for hypertension in sexual minority adults.

Does It Matter What Screener We Use? A Comparison of Ultra-brief PHQ-4 and E-mwTool-3 Screeners for Anxiety and Depression Among People With and Without HIV.

The burden of depression and anxiety disorders is high in sub-Saharan Africa, especially for people with HIV (PWH). The Patient Health Questionnaire-4 (PHQ-4) and Electronic Mental Wellness Tool-3 (E-mwTool-3) are ultra-brief screening tools for these disorders. We compared the performance of PHQ-4 and E-mwTool-3 for screening MINI-International Neuropsychiatric Interview diagnoses of depression and anxiety among a sample of individuals with and without HIV in two primary care clinics and one general hospital in Maputo City, Mozambique. Areas-under-the-curve (AUC) were calculated along with sensitivities and specificities at a range of cutoffs. For PWH, at a sum score cutoff of ≥ 1, sensitivities were strong: PHQ-4:Depression = 0.843; PHQ-4:Anxiety = 0.786; E-mwTool-3:Depression = 0.843; E-mwTool-3:Anxiety = 0.929. E-mwTool-3 performance was comparable to PHQ-4 among people with and without HIV.

Suicide Risks of Health Care Workers in the US.

Importance: Historically elevated risks of suicide among physicians may have declined in recent decades. Yet there remains a paucity of information concerning suicide risks among other health care workers. Objective: To estimate risks of death by suicide among US health care workers. Design, Setting, and Participants: Cohort study of a nationally representative sample of workers from the 2008 American Community Survey (N = 1 842 000) linked to National Death Index records through December 31, 2019. Main Outcomes and Measures: Age- and sex-standardized suicide rates were estimated for 6 health care worker groups (physicians, registered nurses, other health care-diagnosing or treating practitioners, health technicians, health care support workers, social/behavioral health workers) and non-health care workers. Cox models estimated hazard ratios (HRs) of suicide for health care workers compared with non-health care workers using adjusted HRs for age, sex, race and ethnicity, marital status, education, and urban or rural residence. Results: Annual standardized suicide rates per 100 000 persons (median age, 44 [IQR, 35-53] years; 32.4% female [among physicians] to 91.1% [among registered nurses]) were 21.4 (95% CI, 15.4-27.4) for health care support workers, 16.0 (95% CI, 9.4-22.6) for registered nurses, 15.6 (95% CI, 10.9-20.4) for health technicians, 13.1 (95% CI, 7.9-18.2) for physicians, 10.1 (95% CI, 6.0-14.3) for social/behavioral health workers, 7.6 (95% CI, 3.7-11.5) for other health care-diagnosing or treating practitioners, and 12.6 (95% CI, 12.1-13.1) for non-health care workers. The adjusted hazards of suicide were increased for health care workers overall (adjusted HR, 1.32 [95% CI, 1.13-1.54]), health care support workers (adjusted HR, 1.81 [95% CI, 1.35-2.42]), registered nurses (adjusted HR, 1.64 [95% CI, 1.21-2.23]), and health technicians (adjusted HR, 1.39 [95% CI, 1.02-1.89]), but adjusted hazards of suicide were not increased for physicians (adjusted HR, 1.11 [95% CI, 0.71-1.72]), social/behavioral health workers (adjusted HR, 1.14 [95% CI, 0.75-1.72]), or other health care-diagnosing or treating practitioners (adjusted HR, 0.61 [95% CI, 0.36-1.03) compared with non-health care workers (reference). Conclusions: Relative to non-health care workers, registered nurses, health technicians, and health care support workers in the US were at increased risk of suicide. New programmatic efforts are needed to protect the mental health of these US health care workers.

Victimology of Mass Shootings and Mass Murders Not Involving Firearms.

Most research to date has focused on perpetrators of mass murder incidents. Hence, there is little information on victims. We examined 973 mass murders that occurred in the United States between 1900 and 2019 resulting in 5,273 total fatalities and 4,498 nonfatal injuries for a total of 9,771 victims (on average 10 victims per incident). Approximately 64% of victims of mass murder were White individuals, 13% were Black individuals, 6% were Asian individuals, and 14% were Latinx individuals. Given the higher number of nonfatal injuries per non-firearm mass murder event (11.0 vs. 2.8, p < .001), the total number of victims was only 50% higher for mass shootings (5,855 victims) vs. non-firearm mass murder events (3,916 victims). Among the 421 incidents of mass murder in the United States since 2000, Black, Asian, and Native American individuals were overrepresented among victims of mass shootings compared with their representation in the general U.S. population, and White individuals were underrepresented (all p ≤ .002). Findings of racial/ethnic differences were similar among victims of mass murder committed with means other than firearms for Black, Asian, and White individuals. These findings highlight different areas of victimology within the context of these incidents.

Psychiatric disorders and risk for multiple adverse outcomes: a national prospective study.

Most psychiatric disorders, when examined individually, are associated with a broad range of adverse outcomes. However, psychiatric disorders often co-occur and their co-occurrence is well explained by a limited number of transdiagnostic factors. Yet it remains unclear whether the risk of these adverse outcomes is due to specific psychiatric disorders, specific dimensions of psychopathology (i.e., internalizing and externalizing dimensions), a general psychopathology factor, or a combination of these explanations. In a large nationally representative prospective survey, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), we used structural equation modeling to examine the shared and specific effects of common Axis I and Axis II disorders on the risk of ten adverse outcomes (unemployment; financial crisis; low income; poorer general health; worse mental and physical health; legal problems; divorce; problems with a neighbor, friend, or relative; and violence) in the general adult population. Effects of psychiatric disorders were exerted mostly through a general psychopathology factor representing the shared effect across all disorders, independent of sociodemographic characteristics and the presence of the adverse outcomes at baseline. Violence and legal problems were further associated with the externalizing factor, but there were no independent associations of the internalizing factor or any individual psychiatric disorders with any of the adverse outcomes. Our findings reveal that associations between psychiatric disorders and adverse outcomes occur through broad psychological dimensions. Understanding the biological and psychological mechanisms underlying these dimensions should yield key intervention targets to decrease the individual suffering and societal burden associated with common psychiatric disorders.

Living Alone and Suicide Risk in the United States, 2008‒2019.

Objectives. To evaluate the association between living alone and suicide and how it varies across sociodemographic characteristics. Methods. A nationally representative sample of adults from the 2008 American Community Survey (n = 3 310 000) was followed through 2019 for mortality. Cox models estimated hazard ratios of suicide across living arrangements (living alone or with others) at the time of the survey. Total and sociodemographically stratified models compared hazards of suicide of people living alone to people living with others. Results. Annual suicide rates per 100 000 person-years were 23.0 among adults living alone and 13.2 among adults living with others. The age-, sex-, and race/ethnicity-adjusted hazard ratio of suicide for living alone was 1.75 (95% confidence interval = 1.64, 1.87). Adjusted hazards of suicide associated with living alone varied across sociodemographic groups and were highest for adults with 4-year college degrees and annual incomes greater than $125 000 and lowest for Black individuals. Conclusions. Living alone is a risk marker for suicide with the strongest associations for adults with the highest levels of income and education. Because these associations were not controlled for psychiatric disorders, they should be interpreted as noncausal. (Am J Public Health. 2022;112(12):1774-1782. https://doi.org/10.2105/AJPH.2022.307080).

Associations between severe food insecurity and disordered eating behaviors from adolescence to young adulthood: Findings from a 10-year longitudinal study.

Emerging evidence suggests a cross-sectional association between food insecurity (FI) and disordered eating among adults, while evidence among adolescents is limited. Longitudinal research is needed to elucidate the temporality of this relationship and clarify whether the association differs by age. Three waves of prospective data came from 1813 participants in the Project EAT (Eating and Activity in Teens and Young Adults) cohort study. Data were collected at five-year intervals, with the baseline survey in 1998-1999 (EAT-I; Mage = 14.9 years) and follow-up surveys in 2003-2004 (EAT-II; Mage = 19.5 years) and 2008-2009 (EAT-III; Mage = 24.9 years). Severe FI was assessed as any past-year hunger with one item from the U.S. Household Food Security Survey Module, and a range of disordered eating behaviors were self-reported. Associations adjusted for sociodemographic characteristics were examined with generalized estimating equations. Effect modification by age was also tested. Cross-sectionally, severe FI was significantly associated with greater prevalence of all disordered eating behaviors examined, with the strongest associations observed for extreme weight-control behaviors (prevalence ratio [PR] = 1.49, 95% confidence interval [CI]: 1.13-1.95) and binge eating (PR = 1.49, 95% CI: 1.04-2.12). Longitudinally, severe FI significantly predicted 1.41 (95% CI: 1.05-1.90) times greater prevalence of binge eating five years later after accounting for prior binge eating. Effect modification by age indicated a stronger cross-sectional association between severe FI and unhealthy weight-control behaviors among younger participants. Results support a cross-sectional link between severe FI and disordered eating and provide longitudinal evidence suggesting severe FI is a risk factor for binge eating.

Wage theft and life expectancy inequities in the United States: A simulation study.

Wage theft - employers not paying workers their legally entitled wages and benefits - costs workers billions of dollars annually. We tested whether preventing wage theft could increase U.S. life expectancy and decrease inequities therein. We obtained nationally representative estimates of the 2001-2014 association between income and expected age at death for 40-year-olds (40 plus life expectancy at age 40) compiled from tax and Social Security Administration records, and estimates of the burden of wage theft from several sources, including estimates regarding minimum-wage violations (not paying workers the minimum wage) developed from Current Population Survey data. After modeling the relationship between income and expected age at death, we simulated the effects of scenarios preventing wage theft on mean expected age at death, assuming a causal effect of income on expected age at death. We simulated several scenarios, including one using data suggesting minimum-wage violations constituted 38% of all wage theft and caused 58% of affected workers' losses. Among women in the lowest income decile, mean expected age at death was 0.17 years longer in the counterfactual scenario than observed (95% confidence interval [CI]: 0.11-0.22), corresponding to 528,685 (95% CI: 346,018-711,353) years extended in the total 2001-2014 age-40 population. Among men in the lowest decile, the estimates were 0.12 (95% CI: 0.07-0.17) and 380,502 (95% CI: 229,630-531,374). Moreover, among women, mean expected age at death in the counterfactual scenario increased 0.16 (95% CI: 0.06-0.27) years more among the lowest decile than among the highest decile; among men, the estimate was 0.12 (95% CI: 0.03-0.21).

Patient-, Hospital-, and System-Level Factors Associated With 30-Day Readmission After a Psychiatric Hospitalization.

ABSTRACT: Readmission after inpatient care for a psychiatric condition is associated with a range of adverse events including suicide and all-cause mortality. This study estimated 30-day readmission rates in a large cohort of inpatient psychiatric admissions in New York State and examined how these rates varied by patient, hospital, and service system characteristics. Data were obtained from Medicaid claims records, and clinician, hospital, and region data, for individuals with a diagnosis of any mental disorder admitted to psychiatric inpatient units in New York State from 2012 to 2013. Psychiatric readmission was defined as any unplanned inpatient stay with a mental health diagnosis with an admission date within 30 days of being discharged. Unadjusted and adjusted odds ratios of being readmitted within 30 days were estimated using logistic regression analyses. Over 15% of individuals discharged from inpatient units between 2012 and 2013 were readmitted within 30 days. Patients who were readmitted were more likely to be homeless, have a schizoaffective disorder or schizophrenia, and have medical comorbidity. Readmission rates varied in this cohort mainly because of individual-level characteristics. Homeless patients were at the highest risk of being readmitted after discharge.

Feasibility and Utility of Different Approaches to Violence Risk Assessment for Young Adults Receiving Treatment for Early Psychosis.

This pilot study examined violence risk assessment among a sample of young adults receiving treatment for early psychosis. In this study, thirty participants were assessed for violence risk at baseline. Participants completed follow-up assessments at 3, 6, 9 and 12 months to ascertain prevalence of violent behavior. Individuals were on average 24.1 years old (SD = 3.3 years) and predominantly male (n = 24, 80%). In this sample, six people (20%) reported engaging in violence during the study period. Individuals who engaged in violence had higher levels of negative urgency (t(28) = 2.21, p = 0.035) This study sought to establish the feasibility, acceptability, and clinical utility of violence risk assessment for clients in treatment for early psychosis. Overall, this study found that most individuals with early psychosis in this study (who are in treatment) were not at risk of violence. Findings suggest that violent behavior among young adults with early psychosis is associated with increased negative urgency.

Recency and intensification of positive symptoms enhance prediction of conversion to syndromal psychosis in clinical high-risk patients.

BACKGROUND: Early detection and intervention strategies in patients at clinical high-risk (CHR) for syndromal psychosis have the potential to contain the morbidity of schizophrenia and similar conditions. However, research criteria that have relied on severity and number of positive symptoms are limited in their specificity and risk high false-positive rates. Our objective was to examine the degree to which measures of recency of onset or intensification of positive symptoms [a.k.a., new or worsening (NOW) symptoms] contribute to predictive capacity. METHODS: We recruited 109 help-seeking individuals whose symptoms met criteria for the Progression Subtype of the Attenuated Positive Symptom Psychosis-Risk Syndrome defined by the Structured Interview for Psychosis-Risk Syndromes and followed every three months for two years or onset of syndromal psychosis. RESULTS: Forty-one (40.6%) of 101 participants meeting CHR criteria developed a syndromal psychotic disorder [mostly (80.5%) schizophrenia] with half converting within 142 days (interquartile range: 69-410 days). Patients with more NOW symptoms were more likely to convert (converters: 3.63 ± 0.89; non-converters: 2.90 ± 1.27; p = 0.001). Patients with stable attenuated positive symptoms were less likely to convert than those with NOW symptoms. New, but not worsening, symptoms, in isolation, also predicted conversion. CONCLUSIONS: Results suggest that the severity and number of attenuated positive symptoms are less predictive of conversion to syndromal psychosis than the timing of their emergence and intensification. These findings also suggest that the earliest phase of psychotic illness involves a rapid, dynamic process, beginning before the syndromal first episode, with potentially substantial implications for CHR research and understanding the neurobiology of psychosis.

Psychotic symptoms in mass shootings v. mass murders not involving firearms: findings from the Columbia mass murder database.

BACKGROUND: Mass shootings account for a small fraction of annual worldwide murders, yet disproportionately affect society and influence policy. Evidence suggesting a link between mass shootings and severe mental illness (i.e. involving psychosis) is often misrepresented, generating stigma. Thus, the actual prevalence constitutes a key public health concern. METHODS: We examined global personal-cause mass murders from 1900 to 2019, amassed by review of 14 785 murders publicly described in English in print or online, and collected information regarding perpetrator, demographics, legal history, drug use and alcohol misuse, and history of symptoms of psychiatric or neurologic illness using standardized methods. We distinguished whether firearms were or were not used, and, if so, the type (non-automatic v. semi- or fully-automatic). RESULTS: We identified 1315 mass murders, 65% of which involved firearms. Lifetime psychotic symptoms were noted among 11% of perpetrators, consistent with previous reports, including 18% of mass murderers who did not use firearms and 8% of those who did (χ2 = 28.0, p < 0.01). US-based mass shooters were more likely to have legal histories, use recreational drugs or misuse alcohol, or have histories of non-psychotic psychiatric or neurologic symptoms. US-based mass shooters with symptoms of any psychiatric or neurologic illness more frequently used semi-or fully-automatic firearms. CONCLUSIONS: These results suggest that policies aimed at preventing mass shootings by focusing on serious mental illness, characterized by psychotic symptoms, may have limited impact. Policies such as those targeting firearm access, recreational drug use and alcohol misuse, legal history, and non-psychotic psychopathology might yield more substantial results.

COVID-19 Case Rates After Surveillance and Vaccinations in a Statewide Psychiatric Hospital System.

Individuals with serious mental illness are particularly vulnerable to COVID-19. The New York State (NYS) Office of Mental Health implemented patient and staff rapid testing, quarantining, and vaccination to limit COVID-19 spread in 23 state-operated psychiatric hospitals between November 2020 and February 2021. COVID-19 infection rates in inpatients and staff decreased by 96% and 71%, respectively, and the NYS population case rate decreased by 6%. Repeated COVID-19 testing and vaccination should be priority interventions for state-operated psychiatric hospitals. (Am J Public Health. 2021;111(10):1780-1783. https://doi.org/10.2105/AJPH.2021.306444).

Slowed Processing Speed Disrupts Patient Expectancy in Late Life Depression.

OBJECTIVE: Slowed processing speed and executive dysfunction are associated with poor outcomes in Late Life Depression (LLD), though it is unclear why. We investigated whether these variables interfere with the development of positive treatment expectancies in an antidepressant trial. METHODS: Depressed older subjects were randomized to Open (intended to increase patient expectancy) or Placebo-controlled (termed 'Hidden,' intended to decrease expectancy) administration of antidepressant medication for 8 weeks. Analysis of covariance analyzed the between-group difference on expectancy (Credibility and Expectancy Scale [CES]) and depression (Hamilton Rating Scale for Depression [HRSD], Clinical Global Impressions [CGI] Severity). Moderator analyses examined whether these Open versus Hidden differences varied based on higher versus lower processing speed and executive function. RESULTS: Among the 108 participants, a significant between-group difference was observed on expectancy (effect size [ES, Cohen's d] = 0.51 on CES Item 2; ES = 0.64 on Item 4), indicating the manipulation was effective. Processing speed as measured by the Stroop Color-Word Test (number color-words named in congruent condition) was a significant moderator of the Open versus Hidden effect on expectancy. Depressive symptom improvement was greater on average for Open versus Hidden participants who received active drug (CGI-severity ES = 1.25, HRSD ES = 0.41), but no neurocognitive moderators of the between-group difference reached statistical significance. CONCLUSIONS: Slowed processing speed impairs the development of expectancies in antidepressant trials for LLD, which may help explain lower antidepressant response among older adults. Future studies may address whether interventions to optimize treatment expectancies are capable of improving treatment outcomes.

Yoga practice among ethnically/racially diverse emerging adults: Associations with body image, mindful and disordered eating, and muscle-enhancing behaviors.

BACKGROUND: This study explores cross-sectional associations between yoga and body image, mindful eating, disordered eating, and muscle-enhancing behaviors among a population-based sample of ethnically/racially diverse emerging adults. METHOD: An ethnically/racially diverse population-based sample of 1,568 emerging adults (18-26 years) completed surveys as part of EAT 2010-2018 (Eating and Activity over Time). Models were adjusted for sociodemographic characteristics and body mass index (BMI). RESULTS: Practicing yoga at least 30 min/week was reported by 12.7% (n = 210) of the sample. Yoga practitioners had higher levels of mindful eating than those not practicing yoga. Although effect sizes were small, yoga practitioners were more likely than non-yoga practitioners to use steroids (3.8 vs. 0.7%, p < .001, h = 0.22) or protein powder/shakes (35.1 vs. 25.3%, p < .010, h = 0.21) to increase their muscle size/tone. Body satisfaction, unhealthy weight control behaviors, and binge eating tended to be similar among yoga practitioners and non-yoga practitioners. There was a significant interaction between BMI and yoga in predicting body satisfaction with a trend toward a positive impact among yoga practitioners at higher BMI values. Interactions between yoga practice and all body image attitudes and behaviors across gender and ethnicity/race were not statistically significant. DISCUSSION: Young people from diverse ethnic/racial backgrounds who practice yoga are more likely to engage in mindful eating but have equal or elevated levels of unhealthy body image attitudes and behaviors as compared to non-yoga practitioners. Further research should explore how yoga is best taught and practiced to ensure that it is beneficial for body image and related behaviors.

Interprofessional Collaboration Improves the Odds of Educating Patients About PrEP over Time.

BACKGROUND: Low levels of pre-exposure prophylaxis (PrEP) uptake continue among the most vulnerable (e.g., men who have sex with men) for HIV exposure in the USA. Providers of social and public health services ("psychosocial providers") can help improve this situation by educating patients about PrEP before linking them to primary care providers (PCPs). OBJECTIVE: To identify predictors of psychosocial providers offering PrEP education to patients vulnerable to HIV infection by determining the frequency with which psychosocial providers offer PrEP education to patients. DESIGN: Longitudinal overview of PrEP implementation in New York City. PARTICIPANTS: Psychosocial providers of HIV prevention and adjunct treatment services, such as medication adherence counseling in 34 community settings. MAIN MEASURES: Longitudinal survey data collected in 2014-2016 (baseline) and 2015-2017 (1-year follow-up) from a 5-year longitudinal repeated measures study. Logistic regression modeling tested associations between baseline psychosocial provider-level and organization-level characteristics and frequency of PrEP education at baseline and 1-year follow-up. KEY RESULTS: Out of 245 participants, the number of psychosocial providers offering PrEP education at least once in the past 6 months increased significantly from baseline (n = 127, 51.8%) to 1-year follow-up (n = 161, 65.7%). Participants with higher odds of offering PrEP education at baseline and at one1-year follow-up were more likely to have reported high levels of interprofessional collaboration (IPC) and were also more likely to have received formal HIV prevention training. CONCLUSIONS: Both IPC and HIV training are predictive of PrEP education, and this association was maintained over time. We recommend expanding educational outreach efforts to psychosocial providers to further improve PrEP education and also training in interprofessional collaboration. This is an important first step toward linking patients to PCPs who prescribe PrEP and may help improve PrEP uptake.