Pain intensity,depressive symptoms,and functional limitations among older adults with serious mental illness

Objective: To examine pain-related activity interference as a mediator for the relationship between pain intensity and depressive symptoms among older adults with serious mental illness (SMI).

Method: Ordinary least-squares regressions were used to investigate the mediation analysis among older adults with SMI (n = 183) from community mental health centers. Analyses used secondary data from the HOPES intervention study.

Results: Higher pain intensity was associated with greater pain-related activity interference. Higher pain intensity and pain-related activity interference were also associated with elevated depressive symptoms. Finally, greater pain-related activity interference significantly mediated the association between higher pain intensity and elevated depressive symptoms.

Conclusions: These findings demonstrate that pain and depressive symptoms may be linked to functional limitations. Clinicians and researchers in the mental health field should better address pain-related activity interference among older adults with SMI, especially among those with higher pain intensity and elevated depressive symptoms.     

Identification of Distinct Latent Classes Related to Sleep,PTSD, Depression,and Anxiety in Individuals Diagnosed With Severe Alcohol Use Disorder

Objective/Background: Alcohol use disorders (AUDs) are often accompanied by comorbid physiologic and psychosocial conditions, including sleep disturbances. Sleep disturbances in these individuals may be associated with increased risk of relapse to drinking following detoxification and rehabilitation. Participants: The sample of inpatient treatment-seeking individuals with AUDs (N = 164) was 70.1% male and 47.6% African American with a mean age of 45.6 years (±9.5 years). Methods: Latent class analysis (LCA) was used to identify unmeasured class membership based on seven indicators: maximum Clinical Institute Withdrawal Assessment (CIWA) scores; sleep efficiency (actigraphy); sleep disturbances (Pittsburgh Sleep Quality Index-PSQI); anxiety or depression (Comprehensive Psychopathological Rating Scale [CPRS]); and current and lifetime posttraumatic stress disorder (PTSD). Results: The average number of drinking days in the 90 days preceding admission was 72.0 (±22.0 days), with an average of 13.16 drinks per day (±5.70 drinks). Nearly one quarter (24.4%) of respondents reported lifetime PTSD. Three latent classes were identified: Sleep Disturbance (SD); Sleep Disturbance, Anxiety and Depression (SD/AD); and Sleep Disturbance, Anxiety and Depression, and PTSD (SD/AD/PTSD). Members of the SD/AD/PTSD group were more likely to be female and had the highest withdrawal and sleep disturbance scores of all three groups. Conclusion: Findings support the use of LCA to identify subgroups of individuals with AUDs and accompanying sleep disturbances. Class identification may provide clinicians with insight into the integrative tailoring of interventions that meet the varied needs of individuals with AUDs, accompanying comorbidities, and sleep disturbances.     

Mapping trauma support onto the shifting landscape of seeking refuge in Sweden: insights from an ongoing programme of research on refugee minors’ mental health

European Child & Adolescent Psychiatry -     

Formative Research for an Innovative Smartphone Application to Improve Distribution of Healthy Foods to Corner Stores in Baltimore City

We sought to collect information about the operations of wholesalers and store owner perceptions of smartphones to plan for and create a smartphone application that will facilitate the distribution of healthy foods to corner stores. In-depth interviews were conducted with wholesalers, corner store owners, distributors, and food environment experts in Baltimore City, Maryland, which included providing feedback for a mockup of the app. Store owners that were comfortable with smartphones liked the idea of the app because it was economically practical, culturally suitable, simple and easy to use, and provided a large variety of items at a fair or low price. We found that barriers to uptake among corner store owners would be high delivery costs, no foreign language capability, and a complicated user interface. This work will inform future projects that will utilize mHealth technology to improve distribution of healthier foods in food deserts.