Although early identification and management services for dementia have become more widespread, their efficacy and the clinical characteristics of service have yet to be fully evaluated. Therefore, the objective of this study is to clarify these issues.

The subjects were 164 Japanese users of an early identification and management program for dementia, known as the Initial-phase Intensive Support Team (IPIST), between 2013 and 2015. Nonhierarchical cluster analysis was used to derive subgroups based on cognitive status and ability in activities of daily living (ADL) and behavioral and psychological symptoms of dementia (BPSD). One-way analysis of variance was performed to evaluate differences among the groups derived by the cluster analysis. A paired t test was used to assess how the clinical status of the groups changed between baseline and follow-up.

Four groups were identified by cluster analysis, i.e. a mild group, a moderate group, a BPSD group with moderate cognitive impairment and severe BPSD, and a severe group with severe cognitive impairment and severe BPSD. Although there were no significant improvements in cognitive impairment or ADL in any group, significant improvements were found in BPSD in the BPSD and severe BPSD groups. Caregiver burden was significantly lessened in all groups. Clinical diagnosis and long-term care insurance service utilization rates were significantly improved overall.

The users of IPIST were classified into four subgroups based on their clinical characteristics. The IPIST program could improve the quality of life of people with dementia and their caregivers.

Brain health diplomacy aims to influence the global policy environment for brain health (i.e. dementia, depression, and other mind/brain disorders) and bridges the disciplines of global brain health, international affairs, management, law, and economics. Determinants of brain health include educational attainment, diet, access to health care, physical activity, social support, and environmental exposures, as well as chronic brain disorders and treatment. Global challenges associated with these determinants include large-scale conflicts and consequent mass migration, chemical contaminants, air quality, socioeconomic status, climate change, and global population aging. Given the rapidly advancing technological innovations impacting brain health, it is paramount to optimize the benefits and mitigate the drawbacks of such technologies.

We propose a working model of Brain health INnovation Diplomacy (BIND).

We prepared a selective review using literature searches of studies pertaining to brain health technological innovation and diplomacy.

BIND aims to improve global brain health outcomes by leveraging technological innovation, entrepreneurship, and innovation diplomacy. It acknowledges the key role that technology, entrepreneurship, and digitization play and will increasingly play in the future of brain health for individuals and societies alike. It strengthens the positive role of novel solutions, recognizes and works to manage both real and potential risks of digital platforms. It is recognition of the political, ethical, cultural, and economic influences that brain health technological innovation and entrepreneurship can have.

By creating a framework for BIND, we can use this to ensure a systematic model for the use of technology to optimize brain health.

Although it is known that certain emotion regulation processes produce a buffering effect on the relationship between life events and well-being, this issue has been poorly studied in the elderly population. Thus, the aim of the present study is to test and confirm a comprehensive model of the impact that past life events have on older adults’ psychological distress, exploring the possible mediating roles of emotion regulation processes. These include rumination, experiential avoidance, and personal growth.

In this cross-sectional study, 387 people over 60 years old residing in the community were assessed on life events, physical functioning, emotion regulation variables, psychological well-being, as well as symptoms of anxiety and depression.

The structural model tested achieved a satisfactory fit to the data, explaining 73% of the variance of older adults’ psychological distress. In addition, the main results suggest possible mediation effects of both the physical functioning and the emotional variables: rumination, experiential avoidance, and personal growth in the face of hardship.

These findings confirm the importance of emotion regulation processes in the final stages of life. They reveal the various adaptive and maladaptive mechanisms that underlie the relationship between life events and psychological distress. The findings suggest – both in the explanatory models of psychological well-being and in psychotherapeutic interventions – the importance of emotion regulation in the elderly population’s health.

Gender is an important social determinant of health, but gender has played only a marginal role in the geriatric and gerontology research and practice. The aim of this study was to examine the relevance of gender to the psychological well-being of older adults.

A cross-sectional study was conducted.

The study was carried out in Spain.

A total of 1,201 people aged between 65 and 94.

The participants completed sociodemographic data and four questionnaires: The Bem sex role inventory, the Ryff’s psychological well-being scale, the York self-esteem inventory, and the Social support scale.

Men scored higher than women in self-acceptance, autonomy, purpose in life, and environmental mastery. Hierarchical multiple regression analyses showed that, although the most important predictors of psychological well-being in both women and men were self-esteem and social support, both masculine/instrumental and feminine/expressive traits were associated with higher psychological well-being, although the effect size was higher for the masculine/instrumental trait. Furthermore, education was associated with psychological well-being in the case of females.

Gender plays an important role in the psychological well-being of older adults. The results of this research are relevant for healthcare providers and policy-makers interested in promoting successful aging and increasing the well-being of older people.

This research addresses dementia and driving cessation, a major life event for affected individuals, and an immense challenge in primary care. In Australia, as with many other countries, it is primarily general practitioners (GPs) who identify changes in cognitive functioning and monitor driving issues with their patients with dementia. Qualitative evidence from studies with family members and other health professionals shows it is a complicated area of practice. However we still know little from GPs about how they manage the challenges with their patients and the strategies that they use to facilitate driving cessation.

Data were collected through five focus groups with 29 GPs at their primary care practices in metropolitan and regional Queensland, Australia. A semi-structured topic guide was used to direct questions addressing decision factors and management strategies. Discussions were audio recorded, transcribed verbatim and thematically analyzed.

Regarding the challenges of raising driving cessation, four key themes emerged. These included: (i) Considering the individual; (ii) GP-patient relationships may hinder or help; (iii) Resources to support raising driver retirement; and (iv) Ethical dilemmas and ethical considerations. The impact of discussing driving cessation on GPs is discussed.

The findings of this study contribute to further understanding the experiences and needs of primary care physicians related to managing driving retirement with their patients with dementia. Results support a need for programs regarding identification and assessment of fitness to drive, to upskill health professionals and particularly GPs to manage the complex issues around dementia and driving cessation, and explore cost-effective and timely delivery of such support to patients.

To investigate the effect of a social robot intervention on depression, loneliness, and quality of life of older adults in long-term care (LTC) and to explore participants’ experiences and perceptions after the intervention.

A mixed-methods approach consisting of a single group, before and after quasi-experimental design, and individual interview.

Twenty older adults with depression from four LTC facilities in Taiwan were recruited.

Each participant participated in 8 weeks of observation and 8 weeks of intervention. In the observation stage, participants received usual care or activities without any research intervention. In the intervention stage, each participant was given a Paro (Personal Assistive RobOt) to keep for 24 hours, 7 days a week.

The Geriatric Depression Scale, the UCLA Loneliness Scale Version 3, and the World Health Organization Quality of Life Questionnaire for older adults were administered at four time points. Individual qualitative interviews with thematic analysis followed.

A repeated multivariate analysis of variance and Friedmanʼs test showed no significant changes during the observation stage between T1 and T2 for depression and quality of life (p >.5). For the intervention stage, statistically significant changes in decreasing depression and loneliness and improving quality of life over time were identified. Three themes emerged from the interviews: (i) humanizing Paro through referring to personal experiences and engagement; (ii) increased social interaction with other people; and (iii) companionship resulting in improved mental well-being.

There were significant improvements in mental well-being in using Paro. Further research may help us to understand the advantages of using a Paro intervention as depression therapy.

Use of antipsychotic drugs in long-term aged care (LTC) is prevalent and commonly exceeds the recommended duration, but contributors to this problem are not well understood. The objective of this study is to provide a snapshot of the features of and contributors to prolonged use of antipsychotic medications (>12 weeks) among a sample of LTC residents.

We present retrospective and baseline data collected for the Australian Halting Antipsychotic Use in Long-Term Care (HALT) single-arm longitudinal deprescribing trial.

Twenty-four long-term care facilities in Sydney, Australia.

The HALT study included 146 older people living in 24 Sydney LTC homes who had been prescribed a regular antipsychotic medication for at least 3 months at baseline.

Detailed file audit was conducted to identify the date and indication recorded at initial prescription, consenting practices, longitudinal course of prescribing, and recommendations for review of antipsychotic medication. Behavioural and psychological symptoms of dementia (BPSD) and functional dependence at baseline were assessed via LTC staff interview. Cognition at baseline was assessed in a participant interview (where possible).

Antipsychotics were prescribed for 2.2 years on average despite recommendations by a doctor or pharmacist for review in 62% of cases. Consent for antipsychotic prescription was accessible for only one case and contraindications for use were common. Longer use of antipsychotics was independently associated with higher dose of the antipsychotic drug and greater apathy, but not with other BPSD.

Antipsychotic medications appeared to be prescribed in this sample as a maintenance treatment in the absence of active indicated symptoms and without informed consent. Standard interventions, including recommendations for review, had been insufficient to ensure evidence-based prescribing.

To examine factors that influence decision-making, preferences, and plans related to advance care planning (ACP) and end-of-life care among persons with dementia and their caregivers, and examine how these may differ by race.

Cross-sectional survey.

13 geographically dispersed Alzheimer’s Disease Centers across the United States.

431 racially diverse caregivers of persons with dementia.

Survey on “Care Planning for Individuals with Dementia.”

The respondents were knowledgeable about dementia and hospice care, indicated the person with dementia would want comfort care at the end stage of illness, and reported high levels of both legal ACP (e.g., living will; 87%) and informal ACP discussions (79%) for the person with dementia. However, notable racial differences were present. Relative to white persons with dementia, African American persons with dementia were reported to have a lower preference for comfort care (81% vs. 58%) and lower rates of completion of legal ACP (89% vs. 73%). Racial differences in ACP and care preferences were also reflected in geographic differences. Additionally, African American study partners had a lower level of knowledge about dementia and reported a greater influence of religious/spiritual beliefs on the desired types of medical treatments. Notably, all respondents indicated that more information about the stages of dementia and end-of-life health care options would be helpful.

Educational programs may be useful in reducing racial differences in attitudes towards ACP. These programs could focus on the clinical course of dementia and issues related to end-of-life care, including the importance of ACP.

Current guidelines recommend highly specialized care for patients with severe personality disorders (PDs). However, there is little knowledge about how to detect older patients with severe PDs. The aim of the current study was to develop an age-specific tool to detect older adults with severe PDs for highly specialized mental health care.

In a Delphi study, a tool to detect adults with severe PDs for highly specialized mental health care was adjusted for older adults based on expert opinion. Subsequently, the psychometric properties of the age-specific tool were evaluated.

The psychometric part of the study was performed in two Dutch highly specialized centers for PDs in older adults.

Patients (N = 90) from two highly specialized centers on PDs in older adults were enrolled.

The age-specific tool was evaluated using clinical judgment as the gold standard.

The Delphi study resulted in an age-specific tool, consisting of seven items to detect older adults with severe PDs for highly specialized mental health care. Psychometric properties of this tool were evaluated. Receiver operating curve analysis showed that the questionnaire was characterized by sufficient diagnostic accuracy. Internal consistency of the tool was sufficient and inter-rater reliability was moderate.

An age-specific tool to detect older adults with severe PDs was developed based on expert opinion. Psychometric properties were evaluated showing sufficient diagnostic accuracy. The tool may preliminarily be used in mental health care to detect older adults with severe PDs to refer them to highly specialized care in an early phase.

Older adults, especially those above age 80, are the fastest growing segment of the population in the United States and at risk for age-related cognitive decline and dementia. There is growing evidence that cognitive activity and training may allow adults to maintain or improve cognitive functioning, but little is known about the potential benefit in the oldest old. In this randomized trial, the effectiveness of a computerized cognitive training program (CCT program) was compared to an active control games program to improve cognition in cognitively normal individuals aged 80 and older.

Sixty-nine older adults were randomized to a 24-session CCT program (n = 39) or an active control program (n = 30). Participants completed a pre- and post- training neuropsychological assessment. The primary outcome measure was a global cognitive composite, and the secondary outcomes were the scores on specific cognitive domains (of memory, executive function/attention, and language).

Using linear mixed models, there were no significant differences between the CCT and the active control program on the primary (p = 0.662) or any of the secondary outcomes (language functioning, p = .628; attention/executive functioning, p = .428; memory, p = .749).

This study suggests that short-term CCT had no specific benefit for cognitive functioning in non-demented individuals aged 80 and older.

Sleep disturbances negatively impact the quality of life of patients with Parkinson’s disease (PD). While persons living in regional areas are at higher risk of PD, PD is poorly managed in regional communities. This study examined factors associated with sleep problems in PD in a regional context.

A mixed-methods cross-sectional design was used.

Patients with PD were recruited from the Queensland Parkinson’s Project database.

Those who agreed to participate were sent a questionnaire assessing aspects of sleep, depression, anxiety, quality of life, and PD severity. Qualitative information was also gathered. Correlations between variables were examined; thematic analyses were performed for qualitative data.

All participants (n = 49) reported sleep disturbances, with 73% (n = 36) reporting sleep disturbance to be problematic. Global sleep dysfunction positively correlated with daytime napping (r = .34, p = .01), watching the clock when unable to sleep (r = .38, p = <.01), staying in bed when unable to sleep (r = .43, p = <.01), and going to bed hungry (r = .31, p = .03) and negatively correlated with daytime exercise (r = -.32, p = .02). Positive correlations were observed between global sleep dysfunction and depression (r = .55, p = <.01), anxiety (r = .31, p = .04), and dysfunctional sleep beliefs (r = .39, p = <.01).

There is a clear need for identifying factors related to sleep disturbances in PD for effective management.

Aboriginal Australians experience higher rates of non-communicable chronic disease, injury, dementia, and mortality than non-Aboriginal Australians. Self-reported health is a holistic measure and may fit well with Aboriginal views of health and well-being. This study aimed to identify predictors of self-reported health in older Aboriginal Australians and determine acceptable research methodologies for future aging research.

Longitudinal, population-based study.

Five communities across New South Wales, Australia (two urban and three regional sites).

Aboriginal and Torres Strait Islander people (n = 227; 60–88 years, M = 66.06, SD = 5.85; 145 female).

Participants completed baseline (demographic, medical, cognitive, mental health, and social factors) and follow-up assessments (self-reported health quantified with 5-point scale; sharing thoughts on areas important for future research). Predictors of self-reported health were examined using logistic regression analyses.

Self-reported health was associated with sex, activities of daily living, social activity participation, resilience, alcohol use, kidney problems, arthritis, falls, and recent hospitalization. Arthritis, kidney problems, and resilience remained significant in multiple logistic regression models.

Perceived resilience and the absence of certain chronic age-related conditions predict older Aboriginal peoples’ self-reported health. Understanding these factors could inform interventions to improve well-being. Findings on acceptable research methodologies suggest that many older Aboriginal people would embrace a range of methodologies within long-standing research partnerships, which is an important consideration for Indigenous population research internationally.

In medical practice, a patient’s loss of competency is a major obstacle when choosing a treatment and a starting treatment program smoothly. A large number of studies have revealed the lack of medical competency in patients with dementia. However, there have been only a few reports focusing on the capacity of patients with mild cognitive impairment (MCI) to make a medical choice.

In this study, we evaluated the competency of 40 patients with amnestic MCI (aMCI) and 33 normal subjects to make a medical choice using the MacArthur Competence Assessment Tool-Treatment (MacCAT-T). We compared the judgement of a team conference using the recorded semi-structured interview with the clinical judgement of a chief clinician.

A team conference concluded that 12 aMCI patients had no competency, and the clinical judgement, without any special interview, judged that five aMCI patients had no competency. All subjects in the control groups were judged to be competent to consent to treatment by both clinicians and the team conference.

Without supplementary tools such as explanatory documents, not a few patients with aMCI were judged by a team conference to have no competency to consent to therapy even in a relatively simple and easy case. In contrast, clinical physicians tended to evaluate the competency of aMCI patients in a generous manner.

In this large population study, we set out to examine the profile of mild behavioral impairment (MBI) by using the Mild Behavioral Impairment Checklist (MBI-C) and to explore its factor structure when employed as a self-reported and informant-rated tool.

This was a population-based cohort study.

Participants were recruited from the Platform for Research Online to Investigate Genetics and Cognition in Aging study (https://www.protect-exeter.org.uk).

A total of 5,742 participant-informant dyads participated in the study.

Both participants and informants completed the MBI-C. The factor structure of the MBI-C was evaluated by exploratory factor analysis.

The most common MBI-C items, as rated by self-reported and informants, related to affective dysregulation (mood/anxiety symptoms), being present in 34% and 38% of the sample, respectively. The least common items were those relating to abnormal thoughts and perception (psychotic symptoms) (present in 3% and 6% of the sample, respectively). Only weak correlations were observed between self-reported and informant-reported MBI-C responses. Exploratory factor analysis for both sets of respondent answers indicated that a five-factor solution for the MBI-C was appropriate, reflecting the hypothesized structure of the MBI-C.

This is the largest and most detailed report on the frequency of MBI symptoms in a nondementia sample. The full spectrum of MBI symptoms was present in our sample, whether rated by self-reported or informant report. However, we show that the MBI-C performs differently in self-reported versus informant-reported situations, which may have important implications for the use of the questionnaire in clinic and research.

The goal of this study was to evaluate the ability of semantic (animal naming) and phonemic (FAS) fluency in their ability to discriminate between normal aging, amnestic-Mild Cognitive Impairment (a-MCI), and Alzheimer’s disease (AD).

We used binary logistic regressions, multinomial regressions, and discriminant analysis to evaluate the predictive value of semantic and phonemic fluency in regards to specific diagnostic classifications.

Outpatient geriatric neuropsychology clinic.

232 participants (normal aging = 99, a-MCI = 90, AD = 43; mean age = 65.75 years).

Mini-mental State Examination (MMSE), Controlled Oral Word Association Test

Results indicate that semantic and phonemic fluency were significant predictors of diagnostic classification, and semantic fluency explained a greater amount of the discriminant ability of the model.

These results suggest that verbal fluency, particularly semantic fluency, may be an accurate and efficient tool in screening for early dementia in time-limited medical settings.

Perceived financial strain is associated with various health conditions, but it is unknown whether it is associated with an increased risk for dementia. The goal is to examine the associations between midlife perceptions of financial situation and dementia risk later in life.

Participants were derived from the Cardiovascular Risk Factors, Aging, and Dementia population-based cohort study (n = 2000) (between 1972 and 1987, baseline mean age 50 years) in Finland. Participants returned for two re-examinations in late life (in 1998 and 2005–2008, mean age 71 and 78 years). In this study, 1442 subjects that participated in at least one re-examination (mean total follow-up 25 years) were included in analyses. Financial strain was measured using two questions in midlife on perceptions of financial situation and perceptions of changes in financial situation. For each question, participants were categorized into three groups reporting improvement, worsening, or stability, with the latter set as the reference group. Analyses were adjusted for potential confounding factors.

The group reporting better financial situation had a reduced risk for dementia (fully adjusted model: odds ratio (OR): 0.53, 95% confidence interval (CI): 0.33–0.86). In contrast, the group reporting worse financial situation did not have an increased risk for dementia (OR: 1.04, 95% CI: 0.53–2.02). Analyses on perceptions of current financial situation showed that the groups reporting satisfaction or dissatisfaction with financial situation did not differ in risk for dementia.

This study is the first to show that midlife improvements in financial situation are associated with a reduced dementia risk later in life. Potential pathways related to stress reduction, improved lifestyle, and potential biological mechanisms are discussed.

Rapid diagnosis of dementia is essential to ensure optimum patient care. This study used real-world data to quantify the dementia diagnostic pathway in Australia.

A real-world, cross-sectional survey of physicians and patients.

Clinical practice.

Primary care or specialist physicians managing patients with cognitive impairment (CI).

Descriptive analyses focused on key events in the diagnostic pathway. Regression modeling compared the duration between first consultation and formal diagnosis with various factors.

Data for 600 patients were provided by 60 physicians. Mean time from initial symptoms to first consultation was 6.1 ± 4.4 months; 20% of patients had moderate or severe CI at first consultation. Mean time from first consultation to formal diagnosis was 4.0 ± 7.4 months (1.2 ± 3.6 months if not referred to a secondary physician, and 5.3 ± 8.3 months if referred). Time from first consultation to diagnosis was significantly associated with CI severity at first consultation; time was shorter with more severe CI. There was no association of disease severity and referral to a secondary physician; 69.5% of patients were referred, the majority (57.1%) to a geriatrician. The highest proportion of patients were diagnosed by geriatricians (47.4%). Some form of test or scale was used to aid diagnosis in 98.8% of patients.

A substantial number of Australians experience cognitive decline and behavioral changes some time before consulting a physician or being diagnosed with dementia. Increasing public awareness of the importance of early diagnosis is essential to improve the proportion of patients receiving comprehensive support prior to disease progression.

To develop a representative full cost model for a UK version of the multi-component, non-pharmacological Namaste Care intervention for care home residents with advanced dementia.

The Namaste Care Intervention UK comprises multiple individual cost components, and a comprehensive list of all possible resources that could be expended in each cost component formed the initial stage of the cost model development. Resource use was divided into three key areas: staff, capital and consumables. Representative costs were identified for each of the possible resources, with a standard approach being used for all resources within each of the three key areas.

Assumptions were made regarding the number and duration of sessions, group size, involvement of different staff members, and additional activity before and after a session, as these all have an impact on resource use and hence cost. A comparable ‘usual care’ session for residents not receiving Namaste Care was also costed to enable the ‘additional’ cost of delivering Namaste Care to be calculated.

The full cost model indicates that Namaste Care Intervention UK costs approximately £8-£10 more per resident per 2-hour session than a comparable period of usual care. However, positive impacts on resident and staff well-being resulting from receiving Namaste Care will also have their own associated costs/benefits which may negate the ‘additional’ cost of the intervention.

The cost model provides the first opportunity to investigate the full costs associated with Namaste Care, and will be refined as additional information is captured during subsequent phases of the research.