A data-driven examination of apathy and depressive symptoms in dementia with independent replication.

Apathy is one of the most common neuropsychiatric symptoms (NPS) and is associated with poor clinical outcomes. Research that helps define the apathy phenotype is urgently needed, particularly for clinical and biomarker studies. We used latent class analysis (LCA) with two independent cohorts to understand how apathy and depression symptoms co-occur statistically. We further explored the relationship between latent class membership, demographics, and the presence of other NPS. The LCA identified a four-class solution (no symptoms, apathy, depression, and combined apathy/depression), reproducible over both cohorts, providing robust support for an apathy syndrome distinct from depression and confirming that an apathy/depression syndrome exists, supported by the model fit test with the four-class solution scores evidencing better fitting (Bayesian information criterion adjusted and entropy R 2). Using a data-driven method, we show distinct and statistically meaningful co-occurrence of apathy and depressive symptoms. There was evidence that these classes have different clinical associations, which may help inform diagnostic categories for research studies and clinical practice. Highlights: We found four classes: no symptoms, apathy, depression and apathy/depression.Apathy conferred a higher probability for agitation.Apathy diagnostic criteria should include accompanying neuropsychiatric symptoms.

Healthcare utilisation and physical activities for older adults with comorbidities in the UK during COVID-19.

A major concern with COVID-19 was the impact it would have on individual health, the routine use of healthcare services, and physical activities, especially for older adults with comorbidities. To address this, we studied the association between these variables for older adults during the pandemic. To explore what policy instruments might be effective in mitigating the negative impacts, we investigated the effects of a shielding notice for those identified as vulnerable by the government and social media given it has been an important source for disseminating information of COVID-19. We employed a UK sample with 3,807 participants aged ≥50 from an online survey administered during May and June 2020. Based on numbers of comorbidities, we separated the sample into a higher comorbidity group with those in the upper quartile of the sample (n = 829) and a lower comorbidity group with the remainder (n = 2,978). Statistical methods include chi-squared analyses and cross-sectional regressions. We found that individuals with higher comorbidities were more likely to have poorer self-reported health and mental health and to receive a shielding notice from the government compared to those without (p < 0.05). Decreases in physical activities were associated with poorer self-reported health and the increases were associated with better self-reported health; on the other hand, the decreases were associated with poorer mental health, but the increases did not link to better mental health. Examination of the effects of policy instruments shows that a shielding notice was positively associated with primary care use. The notice generated greater reliance on telephone/video consultations compared to in-person consultations, but the impacts were less strong for people with higher comorbidities. Frequent use of social media raised the probability of increasing physical activities and reduced that of decreasing physical activities, implying social media being an effective tool in promoting physical activities during the lockdown and subsequent restrictions.

Loneliness, physical activity, and mental health during COVID-19: a longitudinal analysis of depression and anxiety in adults over the age of 50 between 2015 and 2020.

OBJECTIVE: Loneliness and physical activity are important targets for research into the impact of COVID-19 because they have established links with mental health, could be exacerbated by social distancing policies, and are potentially modifiable. In this study, we aimed to identify whether loneliness and physical activity were associated with worse mental health during a period of mandatory social distancing in the UK. DESIGN: Population-based observational cohort study. SETTING: Mental health data collected online during COVID-19 from an existing sample of adults aged 50 and over taking part in a longitudinal study of aging. All had comparable annual data collected between 2015 and 2019. PARTICIPANTS: Three-thousand two-hundred and eighty-one participants aged 50 and over. MEASUREMENTS: Trajectories of depression (measured by PHQ-9) and anxiety (measured by GAD-7) between 2015 and 2020 were analyzed with respect to loneliness, physical activity levels, and a number of socioeconomic and demographic characteristics using zero-inflated negative binomial regression. RESULTS: In 2020, PHQ-9 score for loneliness, adjusted for covariates, was 3.23 (95% CI: 3.01-3.44), an increase of around 1 point on all previous years in this group and 2 points higher than people not rated lonely, whose score did not change in 2020 (1.22, 95% CI: 1.12-1.32). PHQ-9 was 2.60 (95% CI: 2.43-2.78) in people with decreased physical activity, an increase of .5 on previous years. In contrast, PHQ-9 in 2020 for people whose physical activity had not decreased was 1.66, 95% CI: 1.56-1.75, similar to previous years. A similar relationship was observed for GAD-7 though the absolute burden of symptoms lower. CONCLUSION: After accounting for pre-COVID-19 trends, we show that experiencing loneliness and decreased physical activity are risk factors for worsening mental health during the pandemic. Our findings highlight the need to examine policies which target these potentially modifiable risk factors.

Collecting self-report research data with people with dementia within care home clinical trials: Benefits, challenges and best practice.

One-third of people with dementia live in care home settings and in order to deliver better evidence-based care, robust research including clinical trials is required. Concerns have been raised by researchers about the capacity of care home residents with dementia to participate in clinical trials. This includes self-report measures, completion of which researchers have suggested may be unreliable or impossible and may cause distress for residents. Many trials, therefore, utilise only proxy completed outcome measures. This is despite evidence that individuals with mild through to advanced dementia can reliably report on outcomes, if appropriate measures and approaches to data collection are used. However, little has been written about best practice in data collection with this group. This study aimed to explore the experiences of researchers working on dementia trials in care homes and identify best practices to assist design of future trials. Thirty-three researchers completed an online, qualitative questionnaire outlining their experiences and the perceived benefits and challenges of data collection with people with dementia. We identified five main benefits: (1) improving the delivery of person-centred care, (2) hearing the voice of people with dementia, (3) residents spending time with researchers, (4) improving researcher understanding, and (5) having an evidence base from multiple sources. We also identified five main challenges: (1) effective communication, (2) fluctuating capacity, (3) causing distress to residents, (4) time pressures, and (5) staff availability. Researchers also made suggestions about how these can be overcome. We recommend that the challenges identified could be overcome using appropriate methods for collecting data. Thorough training for researchers on data collection with people with dementia was identified as important for ensuring successful data collection.

Examining the association between genetic liability for schizophrenia and psychotic symptoms in Alzheimer's disease.

Psychosis (delusions or hallucinations) in Alzheimer's disease (AD + P) occurs in up to 50% of individuals and is associated with significantly worse clinical outcomes. Atypical antipsychotics, first developed for schizophrenia, are commonly used in AD + P, suggesting shared mechanisms. Despite this implication, little empirical research has been conducted to examine whether there are mechanistic similarities between AD + P and schizophrenia. In this study, we tested whether polygenic risk score (PRS) for schizophrenia was associated with AD + P. Schizophrenia PRS was calculated using Psychiatric Genomics Consortium data at ten GWAS p value thresholds (PT) in 3111 AD cases from 11 cohort studies characterized for psychosis using validated, standardized tools. Association between PRS and AD + P status was tested by logistic regression in each cohort individually and the results meta-analyzed. The schizophrenia PRS was associated with AD + P at an optimum PT of 0.01. The strongest association was for delusions where a one standard deviation increase in PRS was associated with a 1.18-fold increased risk (95% CI: 1.06-1.3; p = 0.001). These new findings point towards psychosis in AD-and particularly delusions-sharing some genetic liability with schizophrenia and support a transdiagnostic view of psychotic symptoms across the lifespan.