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Background: Adults with bipolar disorder (BD) commonly present with cognitive deficits. Many also report subjective or perceived cognitive failures. For this study, we identified four distinct clusters of adults with BD on the basis of both BD symptoms (depression and hypo/mania) and perceived cognitive errors (i.e., forgetfulness, distractibility, false triggering). We hypothesized that participants reporting more BD symptoms and cognitive errors would report lower psychological well-being (i.e., self-efficacy, life scheme, life satisfaction). A second objective was to determine if and how clusters differed in terms of BD related factors (e.g., subtypes, sleep, medications) and sociodemographic differences such as age of participants. From the BADAS (Bipolar Affective Disorder and older Adults) Study, we identified 281adults with BD (M = 44.27 years of age, range 19–81), recruited via social media. Results: All clusters significantly differed across all grouping variables except symptoms of hypo/mania due to low frequency. Across clusters, perceived cognitive failures and BD symptoms increased in lockstep; that is, those reporting more cognitive errors also reported significantly higher symptoms of both depression and hypo/mania. As hypothesized, they also reported significantly lower psychological well-being. Conclusions: Age did not significantly differ across clusters in contrast to existing research in which cognitive loss is objectively measured. That is, perceived cognitive errors are significantly associated with lower psychological well-being for both young and older adults with BD. [ABSTRACT FROM AUTHOR]

Cognitive aging is a complex and dynamic process characterized by changes due to genetics and environmental factors, including lifestyle choices and environmental exposure, which contribute to the heterogeneity observed in cognitive outcomes. This heterogeneity is particularly pronounced among older adults, with some individuals maintaining stable cognitive function while others experience complex, non-linear changes, making it difficult to identify meaningful decline accurately. Current research methods range from population-level modeling to individual-specific assessments. In this work, we review these methodologies and propose that population subtyping should be considered as a viable alternative. This approach relies on early individual-specific detection methods that can lead to an improved understanding of changes in individual cognitive trajectories. The improved understanding of cognitive trajectories through population subtyping can lead to the identification of meaningful changes and the determination of timely, effective interventions. This approach can aid in informing policy decisions and in developing targeted interventions that promote cognitive health, ultimately contributing to a more personalized understanding of the aging process within society and reducing the burden on healthcare systems. [ABSTRACT FROM AUTHOR]

Objectives: The COVID-19 pandemic is having a major impact on the lives of everyone, but in particular on the health and well-being of older people. It has also disrupted the way that individuals access services and interact with one another, and physical distancing and "Stay at Home" orders have seen digital interaction become a necessity. While these restrictions have highlighted the importance of technology in everyday life, little is known about how older adults have responded to this change. Methods: Two surveys, one in 2019 and another in 2020 collected data on a combined total of 1923 older adults aged 65 years and older in Canada. These looked at how older adults think about and use technology, with the 2020 survey additionally questioning how COVID-19 has impacted their use and attitudes towards technology. Results: While older adults feel more isolated in 2020, many feel positive about the benefits of technology and have increased technology use during the pandemic to support their health, wellness, and communication needs. Discussion: The results highlight the potential of technology for supporting older adults in various aspects of healthy aging. While these results point to the opportunities afforded by technology, challenges remain, such as how social and economic factors influence technology uptake. [ABSTRACT FROM AUTHOR]

Objectives: Mobile technology and ambulatory research tools enable the study of human experience in vivo, when and where it occurs. This includes cognitive processes that cannot be directly measured or observed (e.g., emotion) but can be reported in the moment when prompted. Methods: For the Bipolar Affective Disorder and older Adults (BADAS) Study, 50 participants were randomly prompted twice daily to complete brief smartphone questionnaires. This included the Bipolar Disorder Symptom Scale which was developed to briefly measure symptoms of both depression (cognitive and somatic) and hypo/mania (affrontive symptoms and elation/loss of insight). Participants could also submit voluntary or unsolicited app responses anytime; all were time‐ and GPS‐stamped. Herein, we describe BADAS study methods that enabled effective recruitment, adherence and retention. Results: We collected 9600 app responses over 2 year, for an average response rate of 1.4×/day. Over an average of 145 consecutive days (range 2–435 days), BADAS participants reported depression and hypo/mania symptom levels (a.m. and p.m.), sleep quality (a.m.), medication adherence (a.m.) and any significant events of the day (p.m.). They received $1/day for the first 90 days after submitting both a.m. and p.m. questionnaires. Conclusion: BADAS study methods demonstrates the utility of ecological momentary assessment in longitudinal psychiatric research. [ABSTRACT FROM AUTHOR]

Introduction: Rates of dementia are projected to increase over the coming years as global populations age. Without a treatment to slow the progression of dementia, many health policies are focusing on preventing dementia by slowing the rate of cognitive decline with age. However, it is unclear which lifestyle changes in old age meaningfully reduce the rate of cognitive decline associated with aging. Objectives: Use existing, multi-year longitudinal health data to determine if engagement in a variety of different lifestyle activities can slow the rate of cognitive decline as older adults age. Method: Data from the English Longitudinal Study of Aging was analyzed using a quasi-experimental, efficient matched-pair design inspired by the clinical trial methodology. Changes in short-term memory scores were assessed over a multi-year interval for groups who undertook one of 11 different lifestyle activities, compared to control groups matched across confounding socioeconomic and lifestyle factors. Results: Two factors, moderate-intensity physical activity and learning activities, resulted in significant positive impact on cognitive function. Conclusion: Our analysis brings cognitive benefit arguments in favor of two lifestyle activities, moderate-intensity physical activity and learning activities, while rejecting other factors advanced by the literature such as vigorous-intensity physical activity. Those findings justify and encourage the development of new lifestyle health programs by health authorities and bring forward the new health system solution, social prescribing. [ABSTRACT FROM AUTHOR]

Background: Older adults with bipolar disorder (BD) commonly present with cognitive deficits (e.g., attention, memory, verbal fluency). Concomitantly, older adults with BD commonly report subjective or perceived cognitive failures. For this study, we confirmed a 3-factor model of cognitive failures first validated with older adults free of mental illness (i.e., forgetfulness, distractibility, false triggering). We then computed a structural equation model (SEM) demonstrating the construct validity of perceived cognitive errors in relation to quality of life with BD. Use of SEM enabled us to measure quality of life broadly and germane to BD (i.e., well-being, life satisfaction, alcohol misuse, sleep quality).Methods: We obtained responses from an international sample of 350 older adults with BD (M = 61.26 years of age, range 50-87), recruited via micro-targeted social media advertising. Most lived in Canada, the U.S., U.K., Ireland, Australia and South Africa.Results: As hypothesized, perceived cognitive failures were predicted by BD symptoms (depression and hypo/mania). And cognitive failures directly and indirectly predicted quality of life.Limitations: Future research is needed to replicate this QoL model over time with younger patients and those recruited using more traditional methods.Conclusions: Perceived cognitive failures may not be strongly correlated with objective indices of cognitive deficits; nonetheless perceived cognitive failures are significantly associated with quality of life for older adults with BD. For both cognitive errors and BD symptoms, their indirect effect on quality of life (via suicide ideation) is greater than the direct effect. [ABSTRACT FROM AUTHOR]

The article discusses a user-led research into the quality of life of people with dementia. The user research outlines priorities for research and development the technologies to enhance the independence and well-being of people with dementia. It describes the development of a music-playing device on the basis of the input from previous user research.

One of the most at-risk groups during the COVID-19 crisis is older adults, especially those who live in congregate living settings and seniors' care facilities, are immune-compromised, and/or have other underlying illnesses. Measures undertaken to contain the spread of the virus are far-reaching, and older adults were among the first groups to experience restrictions on face-to-face contact. Although reducing viral transmission is critical, physical distancing is associated with negative psychosocial implications, such as increased rates of depression and anxiety. Promising evidence suggests that participatory digital co-design, defined as the combination of user-centered design and community engagement models, is associated with increased levels of engagement with mobile technologies among individuals with mental health conditions. The COVID-19 pandemic has highlighted shortcomings of existing technologies and challenges in their uptake and usage; however, strategies such as co-design may be leveraged to address these challenges both in the adaptation of existing technologies and the development of new technologies. By incorporating these strategies, it is hoped that we can offset some of the negative mental health implications for older adults in the context of physical distancing both during and beyond the current pandemic. [ABSTRACT FROM AUTHOR]

Abstract: This study explored how elderly people living in the community perceive issues around death, dying, and the end of life using a qualitative grounded theory approach. Forty individuals aged between 80 and 89 years who were living alone in the community were interviewed and were identified through purposive and random sampling. The results revealed that issues associated with end of life included fear of how they would die, fear of becoming a burden to others, wanting to prepare for and have a choice with regard to where and when they die, and issues relating to assisted dying. The study demonstrated that issues relating to the end of life are a major concern for older people, but are seldom addressed by professionals. Listening to and understanding the views and experiences of the older age group regarding end-of-life care is needed if adequate person-centered care is to be delivered to this ever-growing population group. [Copyright &y& Elsevier]