Acculturation and clinical symptoms of schizophrenia among Latine adults in the United States.

BACKGROUND: Research on acculturation and schizophrenia spectrum disorders has yielded inconsistent findings. This study aimed to clarify the influence of acculturation on symptomatology in Latine individuals with schizophrenia in the United States. METHODS: The analysis involved cross-sectional data from Latine (n = 120) and non-Latine White (n = 60) adults with schizophrenia in San Diego, California. Participants completed the Short Acculturation Scale for Hispanics (SASH), Positive and Negative Symptom Scale, and Hamilton Depression Rating Scale in their preferred language. Univariate linear regressions were implemented to identify proxy measures as predictors of acculturation scores. Analyses of variance were conducted to analyze the relationship of SASH scores and proxy measures of acculturation to symptom severity. RESULTS: Latine participants presented more symptom severity than non-Latine Whites. When categorized by acculturation status (Spanish-preferring, bicultural, and English-preferring), Spanish-preferring participants presented similar psychiatric symptoms to the non-Latine group and less severe symptoms than both other Latine groups. Analyses identified study language as the strongest proxy measure for the SASH. Latine participants assessed in English had significantly worse positive and depressive symptoms than those assessed in Spanish. Nativity status moderated the relationship between study language and symptomatology. CONCLUSIONS: Findings support an association between acculturation and symptom severity among Latine individuals with schizophrenia. The use of proxy measures of acculturation may be useful in settings where time is constrained. Future research should continue to explore acculturation and symptomatology in Latine communities.

Remotely-administered resilience and self-compassion intervention targeting loneliness and stress in older adults: a single-case experimental design.

OBJECTIVES: Loneliness and chronic stress are prevalent issues for older adults that have been linked to adverse health outcomes. We conducted a remote resilience and self-compassion intervention targeting loneliness and chronic stress. METHODS: This study utilized a multiple-phase-change single-case experimental design with three consecutive 6-week phases: control, intervention, follow-up. Assessments and biomarker collection (blood pressure, inflammation, sleep actigraphy) were conducted at each phase. Participants completed a 6-week remotely-administered resilience and self-compassion intervention using techniques from cognitive behavioral therapy and resilience training. Repeated measures ANOVAs were conducted over the 12-week period from control (week 0) to intervention completion (week 12) and over the 18-week period from control (week 0) to follow-up (week 18) in supplemental analyses. RESULTS: Participants reported a reduction in stress (p < 0.001; ηp2 = 0.15), depression (p = 0.02; ηp2 = 0.08), and loneliness (p = 0.003; ηp2 = 0.18), and an increase in self-compassion (p = 0.01; ηp2 = 0.13) from control to intervention completion (weeks 0-12). Post-hoc tests revealed that stress reduced significantly during the intervention phase (weeks 6-12) and loneliness reduced significantly during the control phase (weeks 0-6). Some improvements in blood pressure, inflammation, and sleep quality were noted in a subsample of participants. CONCLUSION: Findings indicate that our remote resilience and self-compassion intervention for older adults targeting loneliness and chronic stress was efficacious.

Temporal relationships of ecological momentary mood and actigraphy-based sleep measures in bipolar disorder.

Sleep disturbances are a key feature of bipolar disorder (BD), and poor sleep has been linked to mood symptoms. Recent use of ecological momentary assessment (EMA) has allowed for nuanced exploration of the sleep-mood link; though, the scale and directionality of this relationship is still unclear. Using EMA, actigraphy, and self-reported sleep measures, this study examines the concurrent and predictive relationships between sleep and mood. Participants with BD (n = 56) wore actigraphy devices for up to 14 days and completed validated scales and daily EMA surveys about mood and sleep quality. Linear mixed models were used to examine overall and time-lagged relationships between sleep and mood variables. EMA mood ratings were correlated with validated rating scales for depression, mania, anxiety, and impulsivity. Poor self-reported sleep quality was associated with worse overall ratings of sadness and anger. Worse self-reported sleep quality was associated with greater sadness the following day. Higher daytime impulsivity was associated with worse sleep quality the following night. Exploratory analyses found relationships between worse and more variable mood (sadness, anger, and impulsivity) with worse and more variable sleep that evening (efficiency, WASO, and sleep onset time). The sample size was modest, fairly homogenous, and included mainly euthymic persons with BD. EMA-based assessments of mood and sleep are correlated with validated scale scores and provide novel insight into intra-individual variability. Further work on the complex two-way interactions between sleep and mood is needed to better understand how to improve outcomes in BD.