Low and middle-income countries like India anticipate rapid population aging and increases in dementia burden. In India, dementia screening scales originally developed in other contexts need to be assessed for feasibility and validity, given the number of different languages and varying levels of literacy and education.

Using data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N = 4,028), we characterize the performance of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). We described patterns and correlates of missingness, evaluated the psychometric properties of the scale, and assessed criterion validity against the Hindi Mental State Examination (HMSE) using linear regression.

Several IQCODE items had high levels of missingness, which was associated with urbanicity, respondent’s gender, and informant’s generation (same vs. younger generation). Full IQCODE scores showed strong criterion validity against the HMSE; each 1-point increase in IQCODE score was associated with a 3.03-point lower score on the HMSE, controlling for age, gender, and urbanicity. The statistically significant association between IQCODE and HMSE was stronger in urban than rural settings (p-value for interaction = 0.04). Associations between IQCODE and HMSE remained unchanged after removing the three items with the highest levels of differential missingness (remembering addresses and telephone numbers, ability to work with familiar machines, ability to learn to use new gadget or machine).

Findings raise questions about the value of including items with high proportions of missingness, which may signal cultural irrelevance, while removing them did not affect criterion validity.

Identifying the correlates of mental health resilience (MHR)—defined as the discrepancy between one’s reported current mental health and one’s predicted mental health based on their physical performance—may lead to strategies to alleviate the burden of poor mental health in aging adults. Socioeconomic factors, such as income and education, may promote MHR via modifiable factors, such as physical activity and social networks.

A cross-sectional study was conducted. Multivariable generalized additive models characterized the associations between socioeconomic and modifiable factors with MHR.

Data were taken from the population-based Canadian Longitudinal Study on Aging (CLSA), which collected data at various data collection sites across Canada.

Approximately 31,000 women and men between the ages of 45 and 85 years from the comprehensive cohort of the CLSA.

Depressive symptoms were assessed by the Center for Epidemiological Studies Depression Scale. Physical performance was measured objectively using a composite of grip strength, sit-to-stand, and balance performance. Socioeconomic and modifiable factors were measured by self-report questionnaires.

Household income, and to a lesser extent, education were associated with greater MHR. Individuals reporting more physical activity and larger social networks had greater MHR. Physical activity accounted for 6% (95% CI: 4 to 11%) and social network accounted for 16% (95% CI: 11 to 23%) of the association between household income and MHR.

The burden of poor mental health in aging adults may be alleviated through targeted interventions involving physical activity and social connectedness for individuals with lower socioeconomic resources.

To evaluate and synthesize the evidence base on barriers and facilitators to accessing and using community-based social care in dementia.

Mixed-methods systematic review.

Community-based social care (such as day care, respite care, paid home care, and peer support groups).

People living with dementia and unpaid carers.

Seven databases were searched in March 2022, including English and German evidence published from 2000 focusing on inequalities in community-based social care for dementia across the globe. Titles and abstracts were screened by two reviewers, with all full texts screened by two reviewers also. Study quality was assessed using QualSyst.

From 3,904 screened records, 39 papers were included. The majority of studies were qualitative, with 23 countries represented. Barriers and facilitators could be categorized into the following five categories/themes: situational, psychological, interpersonal, structural, and cultural. Barriers were notably more prominent than facilitators and were multifaceted, with many factors hindering or facilitating access to social care linked together.

People with dementia and carers experience significant barriers in accessing care in the community, and a varied approach on multiple levels is required to address systemic and individual-level barriers to enable more equitable access to care for all.

Few studies have examined the impact of late-life depression trajectories on specific domains of cognitive function. This study aims to delineate how different depressive symptom trajectories specifically affect cognitive function in older adults.

Prospective longitudinal cohort study

Australia and the United States of America

In total, 11,035 community-dwelling older adults with a mean age of 75 years

Depressive trajectories were modelled from depressive symptoms according to annual Centre for Epidemiological Studies Depression Scale 10 (CES-D-10) surveys. Four trajectories of depressive symptoms were identified: low (“nondepressed”), consistently mild (“subthreshold depression”), consistently moderate (“persistent depression”), and initially low but increasing (“emerging depression”). Global cognition (Modified Mini-Mental State Examination [3MS]), verbal fluency (Controlled Oral Word Association Test [COWAT]), processing speed (Symbol Digit Modalities Test [SDMT]), episodic memory (Hopkins Verbal Learning Test – Revised [HVLT-R]), and a composite z-score were assessed over a subsequent median 2 years.

Subthreshold depression predicted impaired performance on the SDMT (Cohen’s d −0.04) and composite score (−0.03); emerging depression predicted impaired performance on the SDMT (−0.13), HVLT-R (−0.09), 3 MS (−0.08) and composite score (−0.09); and persistent depression predicted impaired performance on the SDMT (−0.08), 3 MS (−0.11), and composite score (−0.09).

Depressive symptoms are associated with later impaired processing speed. These effects are small. Diverse depression trajectories have different impacts on cognitive function.

To develop an agitation reduction and prevention algorithm is intended to guide implementation of the definition of agitation developed by the International Psychogeriatric Association (IPA)

Review of literature on treatment guidelines and recommended algorithms; algorithm development through reiterative integration of research information and expert opinion

IPA Agitation Workgroup

IPA panel of international experts on agitation

Integration of available information into a comprehensive algorithm

None

The IPA Agitation Work Group recommends the Investigate, Plan, and Act (IPA) approach to agitation reduction and prevention. A thorough investigation of the behavior is followed by planning and acting with an emphasis on shared decision-making; the success of the plan is evaluated and adjusted as needed. The process is repeated until agitation is reduced to an acceptable level and prevention of recurrence is optimized. Psychosocial interventions are part of every plan and are continued throughout the process. Pharmacologic interventions are organized into panels of choices for nocturnal/circadian agitation; mild-moderate agitation or agitation with prominent mood features; moderate-severe agitation; and severe agitation with threatened harm to the patient or others. Therapeutic alternatives are presented for each panel. The occurrence of agitation in a variety of venues—home, nursing home, emergency department, hospice—and adjustments to the therapeutic approach are presented.

The IPA definition of agitation is operationalized into an agitation management algorithm that emphasizes the integration of psychosocial and pharmacologic interventions, reiterative assessment of response to treatment, adjustment of therapeutic approaches to reflect the clinical situation, and shared decision-making.

The coronavirus disease-2019 (COVID-19) pandemic and accompanying lockdown restrictions impacted social life significantly. We studied associations of sociodemographic factors, mental and social health markers, and brain structure with social health trajectories during the COVID-19 pandemic.

Prospective longitudinal population-based cohort study.

Community-dwelling inhabitants of Rotterdam, the Netherlands.

Repeated questionnaires including questions on social health were sent to Rotterdam Study participants from April 2020 onwards. Social health data at study baseline were available for 5017 participants (mean age: 68.7 ± 11.3; 56.9% women).

Determinants were assessed in routine Rotterdam Study follow-up (1990–2020), including global brain volumes in a subset of participants (N = 1720). We applied linear mixed models and generalized estimating equations to quantify associations between determinants and trajectories of loneliness, perceived social isolation and social connectedness over three time points from April 22nd to July 31st 2020.

Loneliness prevalence was 27.9% in April 2020 versus 12.6% prepandemic. Social isolation (baseline mean 4.7 ± 2.4) and loneliness scores (baseline mean 4.9 ± 1.5) decreased over time, whereas social connectedness trajectories remained stable. Depressive symptoms, female sex, prepandemic loneliness, living alone, and not owning a pet were independently associated with lower social connectedness and higher social isolation and loneliness at COVID-19 baseline, but recovery of social health was similar for all determinants. Larger intracranial volume was associated with higher social connectedness.

Despite baseline differences for specific determinants, older adults showed similar recovery of loneliness and social isolation alongside stable social connectedness over time during the pandemic. Social health is multidimensional, especially during a global health crisis.

Olfactory dysfunction and depression are common in later life, and both have been presented as risk factors for dementia. Our purpose was to investigate the associations between these two risk factors and determine if they had an additive effect on dementia risk.

Olfactory function was assessed using the Brief Smell Identification Test (BSIT), and depression was classified using a combination of the 15-item Geriatric Depression Scale (GDS) score and current antidepressant use. Cross-sectional associations between depression and olfactory function were examined using correlations. Cox regression analyses were conducted to examine the longitudinal relationship between olfaction and depression and incident dementia across 12-years of follow-up.

Participants were 780 older adults (aged 70–90 years; 56.5% female) from the Sydney Memory and Ageing Study (MAS) without a diagnosis of dementia at baseline.

Partial correlation revealed a nonsignificant association between baseline depression and olfactory function after accounting for covariates (r = −.051, p = .173). Cox regression showed that depression at baseline (hazard ratio = 1.706, 95% CI 1.185–2.456, p = .004) and lower BSIT scores (HR = .845, 95%CI .789–.905, p < .001) were independently associated with a higher risk of incident dementia across 12 years. Entering both predictors together improved the overall predictive power of the model.

Lower olfactory identification scores and depressive symptoms predict incident dementia over 12 years. The use of BSIT scores and depression in conjunction provides a greater ability to predict dementia than either used alone. Assessment of olfactory function and depression screening may provide clinical utility in the early detection of dementia.

There is a high prevalence of sleep disturbances among people living with dementia (PLWD) in nursing homes. Reliable and valid measurements are needed to assess these disturbances. The aim of this systematic review was to identify, analyze and synthesize studies of sleep-related measurements to assess sleep disturbances in PLWD.

The databases PubMed, CINAHL, and PsycINFO were systematically searched in 2019; the search was updated in March 2024. The inclusion criteria were as follows: participants with dementia or probable dementia in any care setting; and studies that reported at least one of the following aspects: (I) theoretical and conceptual frameworks, (II) user or patient involvement by type of users in measurement development, (III) feasibility and practicability of measurements, and (IV) results of psychometric analyses. The quality of the included studies was evaluated using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) criteria and the quality appraisal tool for studies of diagnostic reliability (QAREL) tool.

A total of 5169 studies were identified; ultimately, 15 studies describing three self-administered measurements, three proxy-administered measurements and two technological measurements were included. No sleep-related measurement showed acceptable psychometric properties in any of the COSMIN domains.

No measurement without adaptation can be recommended for PLWD in nursing homes. If existing measurements are used in clinical practice, the self-perspective of PLWD should be taken into account. If this is no longer fully possible, proxy-rating perspectives in combination could be an option. Future research on sleep-related measurements should be strictly based on international consensus-based psychometric quality criteria.

Research suggests that religious/spiritual (R/S) matters take on increasing importance in later life and tend to be favorably associated with mental health, but religious doubt or uncertainty can undermine this salubrious relationship. Few studies assess whether social relationships, and the support contained within them, can mitigate these negative mental health consequences. The current study focuses on an important yet understudied social relationship in the context of spiritual struggles in later life: informal support from a religious pastor. Members of the clergy occupy a highly prestigious position in the church and are often a trusted resource for older adults as they confront problems.

We use two waves of longitudinal data of Christian older adults in the Religion, Health, and Aging Study (2001–2004) from the United States (N = 639) to test whether support from a pastor attenuates any detrimental mental health effects of carrying religious doubt in later life.

Results from lagged dependent variable models suggest that increases in religious doubt are associated with increases in depression over time, and that greater pastoral support attenuates the relationship between increases in religious doubt and depression, but only for men.

We highlight the need for future research to explore this important social relationship with religious clergy for older adults in confronting both spiritual and secular challenges and the importance of considering gender differences in the process. We also suggest several practical implications for religious clergy, family members, and older adults in dealing with or helping others confront spiritual struggles.

This systematic review identified key components of risk assessment for people with dementia, examined attitudes toward risk identification and risk assessment, and appraised existing risk assessment tools.

Systematic searches of five databases on two platforms (EBSCO, OVID) and gray literature databases (Open Grey, Base) were conducted. Studies were screened for inclusion based on predetermined eligibility criteria and quality assessed using the Mixed Methods Appraisal Tool. Findings were tabulated and synthesized using thematic synthesis.

Our review found people with dementia, their family carers, and healthcare professionals differed in how risk is conceptualized, with views being shaped by media perceptions, personal experiences, socio-cultural influences, dementia knowledge, and dementia severity. We found that mobilization (causing falls inside and getting lost outside) is the most frequently identified risk factor. Our findings show people with dementia are generally risk-tolerant, while healthcare professionals may adopt risk-averse approaches because of organizational requirements. We found factors that disrupt daily routines, living and caring arrangements, medication management, and unclear care pathways contribute toward adverse risk events. We discovered that most studies about risk and risk assessment scales did not consider insight of the person with dementia into risks although this is important for the impact of a risk. No risk instrument identified had sufficient evidence that it was useful.

Accurate risk assessment and effective communication strategies that include the perspectives of people with dementia are needed to enable risk-tolerant practice. No risk instrument to date was shown to be widely acceptable and useful in practice.

The number of older adults suffering from schizophrenia is increasing. Despite this, less than 1% of published studies about schizophrenia focus on those older than 65 years. Research indicates these individuals may age differently from the general population due to lifestyle, medication factors, and effects of the disease itself. We aimed to analyze whether schizophrenia was associated with a younger age at first assessment for social care as a proxy measure for accelerated aging.

We analyzed the effect of schizophrenia diagnosis, demographics, mood, comorbidities, falls, cognition, and substance use on age at first assessment for social care using linear regression.

We used data from 168,780 interRAI Home Care and Long-Term Care Facility (HC; LTCF) assessments completed from July 2013 to June 2020.

When corrected for confounding factors, schizophrenia contributed to age at first assessment being 5.5 years younger (p = 0.0001 Cohen’s D = 1.0) than in people free from schizophrenia. Its effect on age at first assessment was second only to smoking. People suffering from schizophrenia also required a higher level of care (long-term care facility rather than home care). People suffering from schizophrenia had significantly higher rates of diabetes mellitus and chronic obstructive pulmonary disease but otherwise had lower rates of comorbidity than people free from schizophrenia who required care.

Aging with schizophrenia is associated with needing increased social care at a younger age. This has implications for social spending and developing policies to decrease frailty in this population.

To identify the patterns of errors in facial emotion recognition in frontotemporal dementia (FTD) subtypes compared with Alzheimer’s disease (AD) and healthy controls.

Retrospective analysis.

Participants were recruited from FRONTIER, the frontotemporal dementia research group at the University of Sydney, Australia.

A total of 356 participants (behavioral-variant FTD (bvFTD): 62, semantic dementia (SD)-left: 29, SD-right: 14, progressive non-fluent aphasia (PNFA): 21, AD: 76, controls: 90) were included.

Facial emotion recognition was assessed using the Facial Affect Selection Task, a word-face matching task measuring recognition of the six basic emotions (anger, disgust, fear, happiness, sadness, and surprise), as well as neutral emotion, portrayed by black and white faces.

Overall, all clinical groups performed significantly worse than controls with the exception of the PNFA subgroup (p = .051). The SD-right group scored worse than all other clinical groups (all p values < .027) and the bvFTD subgroup performed worse than the PNFA group (p < .001). The most frequent errors were in response to the facial emotions disgust (26.1%) and fear (22.9%). The primary error response to each target emotion was identified; patterns of errors were similar across all clinical groups.

Facial emotion recognition is impaired in FTD and AD compared to healthy controls. Within FTD, bvFTD and SD-right are particularly impaired. Dementia groups cannot be distinguished based on error responses alone. Implications for future clinical diagnosis and research are discussed.

We aimed to examine associations between neuropsychiatric symptoms (NPS) and white matter hyperintensities (WMH) status in older adults without dementia under the hypothesis that WMH increased the odds of having NPS.

Longitudinal analysis of data acquired from the National Alzheimer’s Coordinating Center Uniform Data Set.

Data were derived from 46 National Institute on Aging – funded Alzheimer’s Disease Research Centers.

NACC participants aged ≥50 years with available data on WMH severity with a diagnosis of mild cognitive impairment (MCI) or who were cognitively unimpaired (CU) were studied. Among 4617 CU participants, 376 had moderate and 54 extensive WMH. Among 3170 participants with MCI, 471 had moderate and 88 had extensive WMH.

Using Cardiovascular Health Study (CHS) scores, WMH were coded as no to mild (CHS score: 0–4), moderate (score: 5–6) or extensive (score: 7–8). NPS were quantified on the Neuropsychiatric Inventory Questionnaire. Binary logistic regression models estimated the odds of reporting each of 12 NPS by WMH status separately for individuals with MCI or who were CU.

Compared to CU individuals with no to mild WMH, the odds of having elation [9.87, (2.63–37.10)], disinhibition [4.42, (1.28–15.32)], agitation [3.51, (1.29–9.54)] or anxiety [2.74, (1.28–5.88)] were higher for the extensive WMH group, whereas the odds of having disinhibition were higher for the moderate WMH group [1.94, (1.05–3.61)]. In the MCI group, he odds of NPS did not vary by WMH status.

Extensive WMH were associated with higher odds of NPS in CU older adults but not in those with MCI.

The restrictions put in place in 2020 to mitigate the spread of the coronavirus disease 2019 limited or eliminated social connections that are vital for psychosocial well-being. The objectives of this research were to examine the impact of early pandemic-related restrictions on feelings of loneliness, depression, and anxiety as well as social activity disruption and their concomitant associations in a sample of community-dwelling older adults residing in a small-town region in the USA.

Cross-sectional data collected from an ongoing population-based cohort study in Southwestern, Pennsylvania.

Analyses included 360 adults aged 65 years and older whose annual study assessment occurred during the first 120 days of pandemic-related restrictions.

Self-reported feelings of loneliness, depression, and anxiety due to the pandemic-related restrictions were each measured using a single question. Depressive symptoms and anxiety were also assessed with the modified Center for Epidemiologic Studies-Depression and Generalized Anxiety Disorder-7 item tools. Disruption in a variety of common social activities was also assessed.

Feeling lonely affected 36% of participants who were more likely to be female, not currently married, and living alone. Giving up in-person visits with family was associated with significantly higher odds of feeling lonely, and feeling lonely was associated with significantly higher odds of feelings of anxiety and depression.

Loneliness is a serious outcome of pandemic-related restrictions among older adults, potentially linked to loss of connection with family, and may be associated with increased feelings of depression and anxiety.

Despite three decades of research, gaps remain in meeting the needs of people with dementia and their family/friend carers as they navigate the often-tumultuous process of driving cessation. This paper describes the process of using a knowledge-to-action (KTA) approach to develop an educational web-based resource (i.e. toolkit), called the Driving and Dementia Roadmap (DDR), aimed at addressing some of these gaps.

Aligned with the KTA framework, knowledge creation and action cycle activities informed the development of the DDR. These activities included systematic reviews; meta-synthesis of qualitative studies; interviews and focus groups with key stakeholders; development of a Driving and Dementia Intervention Framework (DD-IF); and a review and curation of publicly available resources and tools. An Advisory Group comprised of people with dementia and family carers provided ongoing feedback on the DDR’s content and design.

The DDR is a multi-component online toolkit that contains separate portals for current and former drivers with dementia and their family/friend carers. Based on the DD-IF, various topics of driving cessation are presented to accommodate users’ diverse stages and needs in their experiences of decision-making and transitioning to non-driving.

Guided by the KTA framework that involved a systematic and iterative process of knowledge creation and translation, the resulting person-centered, individualized and flexible DDR can bring much-needed support to help people with dementia and their families maintain their mobility, community access, and social and emotional wellbeing during and post-driving cessation.

To investigate the frequency of exceptional cognition (cognitive super-aging) in Australian older adults using different published definitions, agreement between definitions, and the relationship of super-aging status with function, brain imaging markers, and incident dementia.

Three longitudinal cohort studies.

Participants recruited from the electoral roll, Australian Twins Registry, and community advertisements.

Older adults (aged 65–106) without dementia from the Sydney Memory and Ageing Study (n = 1037; median age 78), Older Australian Twins Study (n = 361; median age 68), and Sydney Centenarian Study (n = 217; median age 97).

Frequency of super-aging was assessed using nine super-aging definitions based on performance on neuropsychological testing. Levels of agreement between definitions were calculated, and associations between super-aging status for each definition and functioning (Bayer ADL score), structural brain imaging measures, and incident dementia were explored.

Frequency of super-aging varied between 2.9 and 43.4 percent with more stringent definitions associated with lower frequency. Agreement between different criteria varied from poor (K = 0.04, AC1 = .24) to very good (K = 0.83, AC1 = .91) with better agreement between definitions using similar tests and cutoffs. Super-aging was associated with better functional performance (4.7–11%) and lower rates of incident dementia (hazard ratios 0.08–0.48) for most definitions. Super-aging status was associated with a lower burden of white matter hyperintensities (3.8–33.2%) for all definitions.

The frequency of super-aging is strongly affected by the demographic and neuropsychological testing parameters used. Greater consistency in defining super-aging would enable better characterization of this exceptional minority.