Models of Trauma Exposure, Depression, and Suicidality in Safety-Net Primary Care.

Suicidality is a major public health concern, particularly for low-income, trauma-exposed patients with limited access to mental health providers. However, limited research has modeled pathways of suicidality in safety-net primary care samples. Patients (N = 207) in a safety-net primary care clinic completed measures of childhood and adult trauma exposure, depression, and suicidality. Participants (M age = 44.8 years, SD = 11.6), were 60.4% male, 63.8% Black/African American, and predominantly low-income (i.e., 69.1% reported an annual income less than $5,000 USD). Half of the sample reported at least four childhood traumatic events (M = 3.9 events, SD = 3.0) and approximately three adult traumatic events (M = 3.0 events, SD = 2.1). Most participants (82.1%) reported significant depressive symptoms, and 43.5% endorsed recent suicidality. Models showing the mediational effect of depression on the association between trauma exposure and suicidality, ß = .20, B = 0.23, SE = 0.05, 95% CI [0.16, 0.32], and the moderational effect of trauma exposure on the association between depression and suicidality, ß = .16, B = 0.20, SE = 0.08, p = .007, were both supported. These results underscore the high prevalence of trauma exposure, depression, and suicidality in a safety-net primary care sample. They also highlight the pervasiveness and complexity of suicidality in low-income primary care patients, emphasize the importance of trauma-informed suicide assessment, and identify trauma sequelae and depression as potential treatment targets to reduce suicidality.

Sleep Disturbance Mediates the Association Between Loneliness and Health in Older Americans.

BACKGROUND: As the research documenting loneliness as a risk factor for morbidity and mortality continues to grow, it becomes increasingly critical to understand the mechanics of this relationship. This study assessed whether sleep disturbance mediates the relationship between loneliness and health. METHOD: Data came from the 2006, 2010, and 2014 waves of the Health and Retirement Study, a longitudinal study of older Americans; participants ≥ 65 who completed the Psychosocial and Lifestyle Questionnaire in 2006 were included (n = 5067). Measures include the Hughes loneliness scales, a modified version of the Jenkins sleep scale, and self-reported health. Cross-lagged mediation models (i.e., path analysis) were used to model the relationships between loneliness, sleep disturbance, and self-reported health over the 8-year span. RESULTS: Loneliness predicted subsequent sleep disturbance, which in turn predicted subsequent self-reported health. Moreover, there was evidence of both direct and indirect effects (via sleep disturbance) of loneliness on self-reported health. These effects remained after controlling for demographics, isolation, and depression. CONCLUSION: Sleep disturbance partially mediates the relationship between loneliness and self-reported health over 8 years. These findings are not attributable to isolation or depression. Further research is necessary to develop and assess a more comprehensive model of how loneliness shapes health. This study indicates that targeting sleep disturbance may mitigate the health risks of loneliness in older Americans.

Maintenance of Effects and Correlates of Changes Following Mindfulness for Interdisciplinary Health Care Professional Students.

Objectives: To evaluate long-term outcomes after an 8-week mindfulness intervention, Mindfulness for Interdisciplinary Health Care Professionals (MIHP), and investigate relationships between outcomes overtime. Design/Methods: In this single-arm study, 35 participants received MIHP and completed measures of burnout, perceived stress, activity impairment, and dispositional mindfulness at baseline, post-MIHP, and a 3-month follow-up. Changes over time were evaluated using repeated-measures analysis of variance (ANOVA) and reliable change indices (RCIs). Then, correlations between dispositional mindfulness and distress/impairment outcomes were evaluated. Results: At follow-up, aspects of burnout and several mindfulness skills demonstrated maintained improvements. RCIs showed that a higher percentage of participants improved on all outcomes at each time period than declined-all outcomes showed little to no deterioration. However, most participants did not reliably change, and this was more pronounced at the follow-up. Changes in two mindfulness skills (acting with awareness and nonjudging of inner experience) were consistently negatively correlated with distress and impairment outcomes. Conclusions: Acquired mindfulness skills during MIHP were maintained at the follow-up. RCI analyses demonstrated that MIHP may protect against worsening stress and burnout during training. Two mindfulness skills, acting with awareness and nonjudging of inner experience, showed potential mechanistic effects on work-relevant outcomes. Booster sessions to encourage maintained mindfulness practices and skills should be investigated in future trials. This study was registered on clinicaltrials.gov (#NCT03403335) on January 11, 2018.

Introducing FCR6-Brain: Measuring fear of cancer recurrence in brain tumor patients and their caregivers.

Background: Fear of cancer recurrence (FCR) is a psychological consequence of cancer diagnosis that impacts quality of life in neuro-oncology. However, the instruments used to assess FCR have not been tested for validity in patients with brain tumors. The present study explored the psychometric properties of a brief FCR scale in patients with primary brain tumor (PBT) and their caregivers. Methods: Adult patients with PBT (n = 165) and their caregivers (n = 117) completed the FCR-7-item scale (FCR7) and measures of psychological functioning. Exploratory factor analyses (EFA) were conducted for both patient and caregiver FCR7. Convergent validity, prevalence, the difference between FCR in patients and caregivers, and relationships with relevant medical and demographic variables were explored. Results: EFAs revealed a single factor with one item demonstrating poor loading for both patients and caregivers. Removal of the item measuring hypervigilance symptoms (checking for physical signs of tumor) greatly improved the single factor metrics. The amended scale (FCR6-Brain) demonstrated good convergent validity. Caregiver FCR was significantly higher than patient. Clinical guidance to identify clinically significant FCR was introduced. Age, gender, and time since diagnosis were related to FCR, with higher FCR in younger women more recently diagnosed. Conclusions: The FCR6-Brain is the first validated instrument to assess FCR in this population and should be used to identify individuals at risk for FCR and guide development of future psychotherapeutic interventions. This study highlights the distinct characteristics of FCR in neuro-oncology. Symptoms of hypervigilance in PBT patients need further investigation.

Loneliness and sleep: A systematic review and meta-analysis.

Despite the mounting evidence linking loneliness with health, the mechanisms underlying this relationship remain obscure. This systematic review and meta-analysis on the association between loneliness and one potential mechanism-sleep-identified 27 relevant articles. Loneliness correlated with self-reported sleep disturbance (r = .28, 95% confidence interval (.24, .33)) but not duration, across a diverse set of samples and measures. There was no evidence supporting age or gender as moderators or suggesting publication bias. The longitudinal relationship between loneliness and sleep remains unclear. Loneliness is related to sleep disturbance, but research is necessary to determine directionality, examine the influence of other factors, and speak to causality.

Reciprocal Effects Between Loneliness and Sleep Disturbance in Older Americans.

Objectives: To model the relationship between loneliness and sleep disturbance over time. Method: Data came from the Health and Retirement Study (2006, 2010, 2014 waves; age ≥ 65 years; n = 5,067). Loneliness was measured via the Hughes Loneliness Scale and sleep disturbance via a four-item scale assessing sleep and restedness. Cross-lagged panel modeling (path analysis) was used to jointly examine reciprocal effects between loneliness and sleep disturbance. Results: Higher loneliness correlated with higher sleep disturbance at baseline. There was evidence of reciprocal effects between loneliness and sleep across timepoints. These associations overall remained when accounting for demographics, objective isolation, and depression. Discussion: Although causality cannot be established, the findings indicate that the relationship between loneliness and sleep disturbance is bidirectional. This requires revision to the current theory on sleep disturbance as a mechanism for the relationship between loneliness and health and indicates that effective treatment of sleep disturbance may reduce loneliness.