Anxiety,depression, and the suicidal spectrum: a latent class analysis of overlapping and distinctive features

ABSTRACT

Anxiety and depression diagnoses are associated with suicidal thoughts and behaviours. However, a categorical understanding of these associations limits insight into identifying dimensional mechanisms of suicide risk. This study investigated anxious and depressive features through a lens of suicide risk, independent of diagnosis. Latent class analysis of 97 depression, anxiety, and suicidality-related items among 616 psychiatric outpatients indicated a 3-class solution, specifically: (1) a higher suicide-risk class uniquely differentiated from both other classes by high reported levels of depression and anxious arousal; (2) a lower suicide-risk class that reported levels of anxiety sensitivity and generalised worry comparable to Class 1, but lower levels of depression and anxious arousal; and (3) a low to non-suicidal class that reported relatively low levels across all depression and anxiety measures. Discriminants of the higher suicide-risk class included borderline personality disorder; report of worthlessness, crying, and sadness; higher levels of anxious arousal and negative affect; and lower levels of positive affect. Depression and anxiety diagnoses were not discriminant between higher and lower suicide risk classes. This transdiagnostic and dimensional approach to understanding the suicidal spectrum contrasts with treating it as a depressive symptom, and illustrates the advantages of a tripartite model for conceptualising suicide risk.     

Movement of Genetic Counselors from Clinical to Non-clinical Positions: Identifying Driving Forces

A previous study of genetic counselors (GCs) in the state of Indiana identified movement out of clinical positions within the past 2 years. The aims of this study were to determine if this trend is nationwide and identify reasons why GCs are leaving their positions and factors that might help employers attract and retain GCs. An email was sent to members of the American Board of Genetic Counseling with a link to an online confidential survey. There were 939 responses (23.5% response rate). Overall, 52% of GCs report being highly satisfied in their current position, although almost two thirds think about leaving and one third had changed jobs within the past 2 years. Of those who had changed jobs (n =?295), 74.9% had been working in a hospital/clinic setting but only 46.3% currently do, demonstrating a major shift out of the clinic (p <?0.001). The top three reasons cited for leaving a position were work environment/institutional climate, salary/benefits, and a lack of feeling valued/recognized as a professional. These results confirm that GCs are moving out of clinical positions and document elements of job satisfaction. We suggest points for employers to consider when trying to recruit or retain GCs.     

Review and Comparison of Electronic Patient-Facing Family Health History Tools

Family health history (FHx) is one of the most important pieces of information available to help genetic counselors and other clinicians identify risk and prevent disease. Unfortunately, the collection of FHx from patients is often too time consuming to be done during a clinical visit. Fortunately, there are many electronic FHx tools designed to help patients gather and organize their own FHx information prior to a clinic visit. We conducted a review and analysis of electronic FHx tools to better understand what tools are available, to compare and contrast to each other, to highlight features of various tools, and to provide a foundation for future evaluation and comparisons across FHx tools. Through our analysis, we included and abstracted 17 patient-facing electronic FHx tools and explored these tools around four axes: organization information, family history collection and display, clinical data collected, and clinical workflow integration. We found a large number of differences among FHx tools, with no two the same. This paper provides a useful review for health care providers, researchers, and patient advocates interested in understanding the differences among the available patient-facing electronic FHx tools.     

Behavioral contrast: Research and areas for investigation

Behavioral contrast occurs when a change in reinforcement rate in one context results in a change in behavior in the opposite direction in an unchanged context. Despite decades of study by basic researchers, behavioral contrast has remained largely an unstudied phenomenon among applied researchers. The purpose of this paper is to occasion translational and applied research on behavioral contrast with the aim of predicting and controlling socially significant behavior in unchanged contexts. We present a brief history of contrast and related definitions, review research with human and nonhuman subjects, and suggest future directions for applied and translational researchers.     

COVID-19 Impact Battery: Development and Validation

In addition to impacting the physical health of millions of Americans, the novel-coronavirus (COVID-19) pandemic is a significant psychological stressor due to both the threat of the illness itself and the mitigation strategies used to contain the spread. To facilitate understanding of the impact of COVID-19, validated measures are needed. Using a stepwise procedure in line with best-practice measurement procedures, the current report summarizes the procedures employed to create the COVID-19 Impact Battery (CIB). Two independent samples recruited via Amazon Mechanical Turk (N?=?175, N?=?642) and a third community sample (N?=?259) were used for reliability and validity testing. Validation procedures yielded a battery consisting of three scales assessing COVID-19 related behaviors, worry, and disability. The behaviors scale contains three subscales assessing stockpiling, cleaning, and avoidance. The worry subscale also contains three subscales assessing health, financial and catastrophic concerns. In addition, we created a short version of the battery (CIB-S) to allow for more flexibility in data collection. In summary, we have provided reliability and validity information for the CIB and CIB-S, demonstrating that these measures can facilitate evaluation of the broad impact of COVID-19 on mental health functioning.

     

Relationship of Mental Health and Illness in Substance Abuse Patients

This study examined the latent structure of a number of measures of mental health (MH) and mental illness (MI) in substance use disorder outpatients to determine whether they represent two independent dimensions, as Keyes (2005) found in a community sample. Seven aspects of MI assessed were assessed - optimism, personal meaning, spirituality/religiosity, social support, positive mood, hope, and vitality. MI was assessed with two measures of negative psychological moods/states, a measure of antisociality, and the Addiction Severity Index's recent psychiatric and family-social problem scores. Correlational and exploratory factor analyses revealed that MH and MI appear to reflect two independent, but correlated, constructs. However, optimism and social support had relatively high loadings on both factors. Antisociality and the family-social problem score failed to load significantly on the MI factor. Confirmatory factor analysis supported the existence of two obliquely related, negatively correlated dimensions. Study findings, although generally supporting the independence of MH and MI, suggest that the specific answers to this question may be influenced by the constructs and assessments used to measure them.     

More Than Attendance: The Importance of After-School Program Quality

A central theme of the articles featured in this issue is the need to improve the quality of after-school programs. In this commentary, we discuss why student engagement, program characteristics and implementation, staff training, and citywide policy are key considerations in the effort to define and achieve high quality programs for youth.