Mental Health Identification Practices of Jails: The Unmet Needs of the “Silent” Population

The overrepresentation of individuals with mental illness in the criminal/legal system is well documented. While professional associations urge diversion towards treatment, little is known about the practices these institutions use to identify this population. One understudied space in the criminal/legal continuum is jails. This exploratory study compares two types of mental health identification at jail booking to assess jail‐ and community‐based service outcomes by identification type (N = 2956): (a) staff observation and (b) a standardized screening instrument. Individuals identified through staff observation were significantly more likely to receive jail‐ and community‐based services, even though current symptomology and substance misuse were both significantly higher for individuals identified only by the screening instrument. These findings point to the importance of jails in providing stabilizing services during incarceration, but further, show the impact that identification practices have on individuals as they transition to the community. Community context showed varied rates of jail staff observations of mental illness, showing greater risks for individuals in rural communities. Implications include a need for system‐level changes by instituting evidence‐based identification practices in jails, and improving professional collaboration practices between mental health and criminal/legal practitioners as individuals enter and exit jails.     

Identifying developmental stuttering and associated comorbidities in electronic health records and creating a phenome risk classifier

PurposeThis study aimed to identify cases of developmental stuttering and associated comorbidities in de-identified electronic health records (EHRs) at Vanderbilt University Medical Center, and, in turn, build and test a stuttering prediction model.MethodsA multi-step process including a keyword search of medical notes, a text-mining algorithm, and manual review was employed to identify stuttering cases in the EHR. Confirmed cases were compared to matched controls in a phenotype code (phecode) enrichment analysis to reveal conditions associated with stuttering (i.e., comorbidities). These associated phenotypes were used as proxy variables to phenotypically predict stuttering in subjects within the EHR that were not otherwise identifiable using the multi-step identification process described above.ResultsThe multi-step process resulted in the manually reviewed identification of 1,143 stuttering cases in the EHR. Highly enriched phecodes included codes related to childhood onset fluency disorder, adult-onset fluency disorder, hearing loss, sleep disorders, atopy, a multitude of codes for infections, neurological deficits, and body weight. These phecodes were used as variables to create a phenome risk classifier (PheRC) prediction model to identify additional high likelihood stuttering cases. The PheRC prediction model resulted in a positive predictive value of 83 %.ConclusionsThis study demonstrates the feasibility of using EHRs in the study of stuttering and found phenotypic associations. The creation of the PheRC has the potential to enable future studies of stuttering using existing EHR data, including investigations into the genetic etiology.     

情绪自旋及其心理健康功能

情绪自旋是度量核心情绪个体内可变性的一种非认知性的人格特质。其通常采用经验取样法或日间重构法来对个体核心情绪状态进行每日动态跟踪, 并根据测评周期内的核心情绪空间位置的矢量角度的跨时间标准差来反映个体核心情绪状态的时间波动特性。基于情绪事件理论, 日常负性事件经历及其评估导致了个体情绪自旋的产生, 而动态情绪模型进一步解释了情绪自旋对心理健康功能的阻碍作用。未来应在情绪自旋的心理健康作用机制方面进行深入研究。     

Does Natural Mentoring Matter? A Multilevel Meta‐analysis on the Association Between Natural Mentoring and Youth Outcomes

In this meta‐analytic review, we examined the relation between natural mentoring and youth outcomes in four domains: academic and vocational functioning, social‐emotional development, physical health, and psychosocial problems. Natural mentoring relationships are thought to foster positive youth development and buffer against the risks associated with the tumultuous years of adolescence. Two separate meta‐analyses were conducted on the presence of a natural mentor and the quality of the natural mentoring relationship, including thirty studies from 1992 to present. The findings indicated that the presence of a natural mentor was significantly associated with positive youth outcomes (r = .106). A larger effect size was found for the quality of the natural mentoring relationship in terms of relatedness, social support, and autonomy support (r = .208). The largest effect sizes were found for social‐emotional development and academic and vocational functioning. Risk‐status (e.g., teenage mothers, homeless youth, youth in foster care, and youth of alcoholic parents) did not moderate the relation between presence and quality of natural mentoring relationships and youth outcomes, which may indicate that natural mentors are generally beneficial for all youth regardless of risk‐status. Implications for theory and practice concerning the quality of the natural mentoring relationship are discussed.     

Identification Reduces Stigma of Mental Ill‐Health: A Community‐Based Study

The stigma surrounding mental ill‐health is an important issue that affects likelihood of diagnosis and uptake of services, as those affected may work to avoid exposure, judgment, or any perceived loss in status associated with their mental ill‐health. In this study, we drew upon social identity theory to examine how social group membership might influence the stigma surrounding mental ill‐health. Participants from two urban centers in Ireland (N = 626) completed a survey measuring stigma of mental health, perceived social support as well as identification with two different social groups (community and religion). Mediation analysis showed that subjective identification with religious and community groups led to greater perceived social support and consequently lower perceived stigma of mental ill‐health. Furthermore, findings indicated that high identification with more than one social group can lead to enhanced social resources, and that identification with a religious group was associated with greater community identification. This study thus extends the evidence base of group identification by demonstrating its relationship with stigma of mental ill‐health, while also reinforcing how multiple identities can interact to enhance social resources crucial for well‐being.     

Sleep,resilience, and psychological distress in United States military Veterans

Sleep problems are prevalent among Veterans. Left untreated, such problems may elevate psychological distress and increase risk of subsequent mental health disorders. Psychological resilience may buffer against negative psychological outcomes, yet the relationship between sleep and resilience has not been studied. This study explored poor sleep, resilience, and psychological distress using questionnaires collected as part of the Study of Post-Deployment Mental Health. Participants (N = 1,118) had served in the US military since September 11, 2001, had one or more overseas deployments, and were free from a past-month DSM-defined mental health disorder. Hierarchical linear regression was used to examine the association between poor sleep quality (Pittsburgh Sleep Quality Index total score) and psychological distress (Global Symptom Index; Symptom Checklist-90-R), controlling for demographic and health characteristics. Moderation analyses tested for a potential buffering effect of resilience (Connor-Davidson Resilience Scale). Poor sleeping Veterans had worse physical and psychological health, lower resilience, and endorsed more lifetime traumatic events. Poor sleep was associated with greater psychological distress controlling for health and demographic characteristics. Both resilience factors—adaptability and self-efficacy—had significant buffering effects on the relationship between poor sleep and psychological distress, suggesting that resilience may protect against negative outcomes in poor sleepers. Additional research is warranted to better understand the relationships between sleep, resilience, and psychological distress. Such research may inform pertinent prevention efforts, including interventions that improve sleep, enhance resilience, and protect against incident mental health diagnoses.     

Vigor predicting health outcomes in a high risk occupational context

Feelings of vigor are associated with positive consequences in the work place but these relationships have not yet been assessed in a high-risk occupational context. The current study assessed the relationships between feelings of vigor on physical health symptoms, functional impairment, and depression symptoms among U.S. service members who recently returned from a combat deployment. U.S. service members were asked to complete questionnaires at 2 time points. Significant positive correlations were found between combat experiences and the 3 outcomes. Significant negative correlations were found for feelings of vigor and each outcome. Regression analyses indicated a significant effect for feelings of vigor such that higher feelings of vigor at Time 1 predicted better physical health and fewer depression symptoms at Time 2. There was no significant effect for functional impairment. Results demonstrate the potential importance of maintaining or improving feelings of vigor throughout the work day, especially for those with high risk occupations.     

The common sense of counseling psychology: introducing the Common-Sense Model of self-regulation

Abstract

The goal of therapy is typically to improve clients’ self-management of their problems, not only during the course of therapy but also after therapy ends. Although it seems obvious that therapists are interested in improving clients’ self-management, the psychotherapy literature has little to say on the topic. This article introduces Leventhal’s Common-Sense Model of Self-Regulation, a theoretical model of the self-management of health, and applies the model to the therapeutic process. The Common-Sense Model proposes that people develop illness representations of health threats and these illness representations guide self-management. The model has primarily been used to understand how people self-manage physical health problems, we suggest it may also be useful to understand self-management of mental health problems. The Common-Sense Model’s strengths-based perspective is a natural fit for the work of counseling psychologists. The model has important practical implications for addressing how clients understand mental health problems over the course of treatment and self-manage these problems during and after treatment.     

The interplay between feelings and beliefs about condoms as predictors of their use

Objective: Negative feelings about condoms are a key barrier to their use. Using the behavioural affective associations model, we examined the joint effects of affective associations and cognitive beliefs about condoms on condom use.

Design: In Study 1 (N = 97), students completed measures of their affective associations and cognitive beliefs about sex and condoms, sexual activity and condom use. In Study 2 (N = 171), a measure of behavioural intentions and condom selection task were added.

Main outcome measures: Condom use measured in Study 1 as (1) current condom use, and (2) willingness to use condoms; in Study 2 as: (1) behavioural intentions, (2) number of condoms selected.

Results: Affective associations with sex and condoms were behaviour-specific, were directly associated with the respective behaviour, and mediated the relations of cognitive beliefs to behaviour, ps < .05. In Study 2, affective associations were associated with behavioural intentions and the number of condoms selected, ps < .05; cognitive beliefs were indirectly associated with these outcomes through affective associations, indirect effects: ps < .05.

Conclusions: Affective associations are a behaviour-specific and proximal predictor of condom use, mediating the effect of cognitive beliefs, suggesting they may be a particularly viable intervention target.