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• What is the primary question addressed by this study? The growing population of older people with schizophrenia has specific clinical needs related to aging and chronic psychopathology that have not been fully examined by prior research studies. • What is the main finding of this study? This review presents the state of the current research regarding middle-aged and older people with schizophrenia – ranging from phenomenology, clinical trajectories, underlying biological mechanisms, and treatments. There are critical gaps in knowledge regarding longitudinal changes due to aging versus chronic illness, key sex differences in this group, and mechanistically informed interventions. • What is the meaning of the finding? We present a consensus research roadmap with research gaps and future directions to guide the design of future studies focusing on the phenomenology, clinical needs, trajectories of symptoms and cognition with aging, and underlying biological mechanisms for this critical population. We present a review of the state of the research in the phenomenology, clinical trajectories, biological mechanisms, aging biomarkers, and treatments for middle-aged and older people with schizophrenia (PwS) discussed at the NIMH sponsored workshop "Non-affective Psychosis in Midlife and Beyond." The growing population of PwS has specific clinical needs that require tailored and mechanistically derived interventions. Differentiating between the effects of aging and disease progression is a key challenge of studying older PwS. This review of the workshop highlights the recent findings in this understudied clinical population and the critical gaps in knowledge and consensus for research priorities. This review showcases the major challenges and opportunities for research to advance clinical care for this growing and understudied population. [ABSTRACT FROM AUTHOR]

Objective: Older adults are vulnerable to perceived stress and loneliness, exacerbated by the COVID-19 pandemic. We previously reported inverse relationships between loneliness/perceived stress and wisdom/resilience. There are few evidence-based tele-health interventions for older adults. We tested a new remotely-administered manualized resilience- and wisdom-focused behavioral intervention to reduce perceived stress and loneliness in older adults.Methods: This pilot controlled clinical trial used a multiple-phase-change single-case experimental design, with three successive 6-week phases: control, intervention, and follow-up periods. The intervention included six once-a-week one-hour sessions. Participants were 20 adults >65 years, without dementia.Results: All 20 participants completed every session. The study indicated feasibility and acceptability of the intervention. While the sample was too small for demonstrating efficacy, there was a reduction (small-to-medium effect size) in perceived stress and loneliness, and increase in resilience, happiness, and components of wisdom and positive perceptions of aging.Conclusion: These preliminary data support feasibility, acceptability, and possible efficacy of a remotely-administered resilience- and wisdom-focused intervention in older adults to reduce stress and loneliness. [ABSTRACT FROM AUTHOR]

Objective: To establish whether positive affect (PA) is uniquely associated with loneliness and other social functioning variables beyond negative affect (NA) among older adults.Methods: Four hundred and twenty-eight participants (aged 60+ years old, 82% White, and 48% female) were recruited using random digit-dialing and completed scales for loneliness (UCLA Loneliness Scale), companionship (PROMIS scale), satisfaction with discretionary social activities (PROMIS scale), PA (Center for Epidemiologic Studies [CES] Happiness Scale), and NA (CES-Depression scale and Brief Symptom Inventory-Anxiety Subscale).Results: Multiple linear regression models found PA to be a significant predictor of lower loneliness where the effect of PA on loneliness is dependent on the level of NA; a large effect size at the mean level of NA, which becomes attenuated when NA increases. Although the direction of effect of PA on loneliness will change for NA > 5.10, which is 5 standard deviations away from 0, based on the model estimates, the percent of subjects with this large NA levels is practically 0. Thus, higher PA is associated with lower loneliness, however this effect is attenuated for larger NA. Similarly, multiple linear regression models found that companionship was associated with PA and NA where the effect of PA is dependent on the level of NA; a medium effect size at the mean level of NA, which becomes attenuated when NA increases. As in the case of loneliness, the direction of effect of PA on companionship will change for NA > 3.52, which is 3.5 standard deviation away from 0, based on the model estimates, but the percent of subjects with this large NA levels is practically 0. Thus, higher PA is associated with increased companionship, aand this effect is attenuated with greater NA. Satisfaction with social activities was associated with PA only (medium effect size).Conclusion: Results suggest PA appears to be uniquely associated with social functioning among older adults. These findings support the potential for treatments that target PA to decrease loneliness among older adults, or vice versa. [ABSTRACT FROM AUTHOR]

Objective: The growing pandemic of loneliness has great relevance to aging populations, though assessments are limited by self-report approaches. This paper explores the use of artificial intelligence (AI) technology to evaluate interviews on loneliness, notably, employing natural language processing (NLP) to quantify sentiment and features that indicate loneliness in transcribed speech text of older adults.Design: Participants completed semi-structured qualitative interviews regarding the experience of loneliness and a quantitative self-report scale (University of California Los Angeles or UCLA Loneliness scale) to assess loneliness. Lonely and non-lonely participants (based on qualitative and quantitative assessments) were compared.Setting: Independent living sector of a senior housing community in San Diego County.Participants: Eighty English-speaking older adults with age range 66-94 (mean 83 years).Measurements: Interviews were audiotaped and manually transcribed. Transcripts were examined using NLP approaches to quantify sentiment and expressed emotions.Results: Lonely individuals (by qualitative assessments) had longer responses with greater expression of sadness to direct questions about loneliness. Women were more likely to endorse feeling lonely during the qualitative interview. Men used more fearful and joyful words in their responses. Using linguistic features, machine learning models could predict qualitative loneliness with 94% precision (sensitivity = 0.90, specificity = 1.00) and quantitative loneliness with 76% precision (sensitivity = 0.57, specificity = 0.89).Conclusions: AI (e.g., NLP and machine learning approaches) can provide unique insights into how linguistic features of transcribed speech data may reflect loneliness. Eventually linguistic features could be used to assess loneliness of individuals, despite limitations of commercially developed natural language understanding programs. [ABSTRACT FROM AUTHOR]

The authors discuss the opportunities and challenges in using digital technology to care for dementia patients.

Importance: Wisdom is a neurobiological personality trait made up of specific components, including prosocial behaviors, emotional regulation, and spirituality. It is associated with greater well-being and happiness.Objective: To evaluate the effectiveness of interventions to enhance individual components of wisdom.Data Sources: MEDLINE and PsycINFO databases were searched for articles published through December 31, 2018.Study Eligibility Criteria: Randomized clinical trials that sought to enhance a component of wisdom, used published measures to assess that component, were published in English, had a minimum sample size of 40 participants, and presented data that enabled computation of effect sizes were included in this meta-analysis.Data Extraction and Synthesis: Random-effect models were used to calculate pooled standardized mean differences (SMDs) for each wisdom component and random-effects meta-regression to assess heterogeneity of studies.Main Outcomes and Measures: Improvement in wisdom component using published measures.Results: Fifty-seven studies (N = 7096 participants) met review criteria: 29 for prosocial behaviors, 13 for emotional regulation, and 15 for spirituality. Study samples included people with psychiatric or physical illnesses and from the community. Of the studies, 27 (47%) reported significant improvement with medium to large effect sizes. Meta-analysis revealed significant pooled SMDs for prosocial behaviors (23 studies; pooled SMD, 0.43 [95% CI, 0.22-0.3]; P = .02), emotional regulation (12 studies; pooled SMD, 0.67 [95% CI, 0.21-1.12]; P = .004), and spirituality (12 studies; pooled SMD, 1.00 [95% CI, 0.41-1.60]; P = .001). Heterogeneity of studies was considerable for all wisdom components. Publication bias was present for prosocial behavior and emotional regulation studies; after adjusting for it, the pooled SMD for prosocial behavior remained significant (SMD, 0.4 [95% CI, 0.16-0.78]; P = .003). Meta-regression analysis found that effect sizes did not vary by wisdom component, although for trials on prosocial behaviors, large effect sizes were associated with older mean participant age (β, 0.08 [SE, 0.04]), and the reverse was true for spirituality trials (β, -0.13 [SE, 0.04]). For spirituality interventions, higher-quality trials had larger effect sizes (β, 4.17 [SE, 1.07]), although the reverse was true for prosocial behavior trials (β, -0.91 [SE 0.44]).Conclusions and Relevance: Interventions to enhance spirituality, emotional regulation, and prosocial behaviors are effective in a proportion of people with mental or physical illnesses and from the community. The modern behavioral epidemics of loneliness, suicide, and opioid abuse point to a growing need for wisdom-enhancing interventions to promote individual and societal well-being. [ABSTRACT FROM AUTHOR]

Objective: To examine associations of sociodemographic and clinical factors with cognitive, physical, and mental health among independent living older adults in a continuing care senior housing community (CCSHC).Methods: This was a cross-sectional study at the independent living sector of a CCSHC in San Diego County, California. Participants included English-speaking adults aged 65-95 years, of which two-thirds were women. Of the 112 subjects recruited, 104 completed basic study assessments. The authors computed composite measures of cognitive, physical, and mental health. The authors also assessed relevant clinical correlates including psychosocial factors such as resilience, loneliness, wisdom, and social support.Results: The CCSHC residents were similar to a randomly selected community-based sample of older adults on most standardized clinical measures. In the CCSHC, physical health correlated with both cognitive function and mental health, but there was no significant correlation between cognitive and mental health. Cognitive function was significantly associated with physical mobility, satisfaction with life, and wisdom, whereas physical health was associated with age, self-rated physical functioning, mental well-being, and resilience. Mental health was significantly associated with income, optimism, self-compassion, loneliness, and sleep disturbances.Conclusion: Different psychosocial factors are significantly associated with cognitive, physical, and mental health. Longitudinal studies of diverse samples of older adults are necessary to determine risk factors and protective factors for specific domains of health. With rapidly growing numbers of older adults who require healthcare as well as supportive housing, CCSHCs will become increasingly important sites for studying and promoting the health of older adults. [ABSTRACT FROM AUTHOR]

Objectives: Persons with schizophrenia, and women in particular, are at high risk for sleep disturbances and inflammatory activation. The sleep-inflammation link has been reported to be stronger in women within the general population. This study sought to examine the sleep-inflammation link in persons with schizophrenia and its relationship with demographic, clinical and cognitive variables.Design: Cross-sectional case-control study.Participants: Community-dwelling outpatients with schizophrenia (N=144, 46% women) and non-psychiatric comparison (NC) participants (N=134, 52% women), age 26-65 years.Measurements: Reported sleep disturbances (sleep quality and duration), and mental and physical health were assessed. Cognitive assessments included executive functioning (Delis-Kaplan Executive Function System) and global cognitive functioning (Telephone Interview for Cognitive Status - modified.) Inflammatory biomarkers included pro-inflammatory cytokines [high sensitivity C-Reactive Protein (hs-CRP), Interleukin (IL)-6, Tumor Necrosis Factor-α (TNF-α)] and an anti-inflammatory cytokine (IL-10).Results: The schizophrenia group had longer sleep duration, worse sleep quality, and increased levels of hs-CRP, IL-6, and TNF-α compared to NCs. Women with schizophrenia were less likely to have good sleep quality and had elevated levels of hs-CRP and IL-6 compared to men with schizophrenia. In the schizophrenia group, worse sleep quality and global cognitive functioning were associated with higher hs-CRP and IL-6 levels. Female sex and younger age were also associated with higher hs-CRP levels.Conclusions: Sleep disturbances and increased inflammation, which were common in schizophrenia, were associated in persons with schizophrenia. Moreover, women with schizophrenia had worse sleep quality and inflammation than men. Further examination of the sleep-inflammation links, their contribution to clinical outcomes, and sex-specific factors is warranted. [ABSTRACT FROM AUTHOR]

In the article, the author discusses the issue of the expected worsening of social isolation and loneliness (SI/L) among older people around the world, particularly in Great Britain, amidst the COVID-19 pandemic, and how to properly approach the situation.

In the article, the authors discuss the results of the longitudinal studies linking loneliness to higher risk of dementia, particularly in older people, as well as the effects of factors like functional ability, self-rated health, and depressive symptoms.

Because of the rapidly growing older population and increases in longevity, rates of dementia have been rising. Clinical challenges of treating dementia include limited resources and lack of curative therapies. Palliative care approaches improve quality of life and alleviate suffering for dementia patients at the end of life, although implementation may be limited by societal acceptance and feasibility. This review examines the published literature on pain assessments, pain and behavior interventions, tools for advanced care planning, and clinical concerns in dementia patients. Ultimately, modification of the traditional palliative care model may improve outcomes and functioning for dementia patients at all stages of their illness. [ABSTRACT FROM AUTHOR]

Objective: Inflammation may play a role in the accelerated physical aging reported in schizophrenia, though biomarker findings and associations with demographic and clinical factors are inconsistent.Methods: In a cross-sectional, case-control design, 95 outpatients with schizophrenia (mean age ± SD: 48.1 ± 10.2 years) and 95 demographically comparable healthy comparison subjects (HCs) (mean age ± SD: 48.1 ± 12.1 years) were studied. Sociodemographic and clinical data were collected, and plasma levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and interferon-γ (IFN-γ) were assayed. The authors compared cytokine levels, examined demographic and clinical associations, and adjusted for relevant variables with linear models.Results: Individuals with schizophrenia had higher levels of TNF-α and IL-6 but not IFN-γ than HCs. Age was not related to cytokine levels, and age relationships did not differ between diagnostic groups. Women had higher levels of IL-6. TNF-α and IL-6 levels were significantly correlated with depressive symptoms, and adjustment for depression reduced the group effect for both. Within the HCs, TNF-α levels were associated with physical comorbidity and body mass index. IL-6 levels were significantly correlated with body mass index and within schizophrenia patients, with worse mental and physical well-being. Accounting for physical morbidity and mental well-being reduced group differences in TNF-α and IL-6 levels, respectively. Worse positive symptoms were associated with higher IL-6 levels.Conclusion: Higher TNF-α and IL-6 levels in schizophrenia patients were associated with depression, physical comorbidity, and mental well-being. Further longitudinal studies are warranted to assess inflammation as a potential treatment target for a subgroup of schizophrenia. [ABSTRACT FROM AUTHOR]

The article discusses a study which examined depression and cognition and their longitudinal inter-relationship among couples in a sample of over 1,000 community-dwelling adults over age 65.

In this article, the author explores and aims to explain the placebo effect, focusing upon how it impacts the experiences of geriatric patients. Particular focus is given to a meta-analysis of the placebo effect and why it might increase over time. Additional topics discussed include outcome assessment for advanced dementia patients, antipsychotic use in nursing homes and a look into the personality traits of placebo responders and research participants.

This Viewpoint explores loneliness as a behavioral epidemic. [ABSTRACT FROM AUTHOR]

The article discusses a study by R. M. Vlasova and colleagues on the relationship of self-reported psychological resilience and white matter microstructure in older adults with geriatric depression.