Relationship between consistent subjective cognitive decline and occurrence of falls six months later

Characteristics of Community-Dwelling Older People Who Are Less Likely to Respond to Mail Surveys Under Infection Countermeasures for New Strains of Coronavirus: The Takasaki Study

This study aimed to identify the characteristics of community-dwelling older people who are difficult to reach by mail survey in anticipation of a future infectious disease crisis. A baseline survey of 1808 community-dwelling older people was conducted in May 2021, and a follow-up survey of 935 respondents was conducted in May 2023. Factors predictive of responding to the follow-up survey included age at baseline, sex, comorbidities, living with family, long-term care insurance, a history of falls, the Simple Frailty Index, and a Questionnaire on Changes in Lifestyle in the Past Month (QCL). Participants were divided into the responding (n = 330) and non-responding (n = 605) groups. Binomial logistic regression analysis was used to analyze items that showed significant differences in the between-group comparison: odds ratios (ORs) of 2.36, 1.84, 1.69, 1.57, and 1.20 for living alone, having comorbidities, having long-term care insurance, fatigue, and reduced ability to communicate, respectively. If social distancing is required in the future, we believe that face-to-face support should be prioritized for people who live alone, have comorbidities, use long-term care insurance, or are aware of fatigue and limited communication, as it is highly unlikely that they will be able to continue exchanging written information.

A Scoping Review of Fall-Risk Screening Tools in the Emergency Department for Future Falls in Older Adults

BACKGROUND

Approximately one-third of adults over the age of 65 experience falls annually, with half resulting in injury. Peak bodies have recommended the use of fall-risk screening tools in the emergency department (ED) to identify patients requiring in-depth assessment and potential fall-prevention intervention. This study aimed to examine the scope of published studies on fall-risk screening tools used in the ED and evidence of associations between screening and future falls.

SUMMARY

PubMed, Embase and CINAHL were searched for peer-reviewed journal articles published since 2012 that examined one or more screening tools to identify patient-level fall risk. Eligible studies described fall-risk tools applied in the ED. Data extracted included sample information, variables measured, and statistical analysis. Sixteen studies published since 2012 were included after full-text review. Fourteen unique screening tools were found. Eight tools were fall-risk screening tools, one tool was a functional screening tool, one tool was a frailty-screening tool, two tools were rapid physical tests, one tool was a trauma triage tool, and one tool was a component of a health-related quality-of-life measure. Studies that evaluated prognostic performance (n = 11) generally reported sensitivity higher than specificity. Previous falls (n = 10) and high-risk medications (n = 6) were consistently associated with future falls. Augmentation with additional variables from the electronic medical record (EMR) improved screening tool prognostic performance in one study.

KEY MESSAGES

Current evidence on the association between the use of fall-risk screening tools in the ED for future falls consistently identifies previous falls and high-risk medications as associated with future falls. Comparison between tools is difficult due to different evaluation methods and different covariates measured. Augmentation of fall-risk screening using the EMR in the ED requires further investigation.

Biopsychosocial risk factors for subjective cognitive decline among older adults during the COVID-19 pandemic: a population-based study

OBJECTIVES

There have been concerns that the COVID-19 pandemic and the measures used to contain it impacted the cognitive health of older adults. We therefore examined the prevalence of subjective cognitive decline, and its associated risk factors and health consequencs, among dementia-free older adults 2 years into the pandemic in Switzerland.

STUDY DESIGN

Population-based cohort study.

METHODS

Prevalence of SCD was estimated using the cognitive complaint questionnaire administered to adults aged ≥65 years in June-September 2022 (Specchio-COVID19 cohort, N = 1414), and compared to prepandemic values from 2014 to 2018 (CoLaus|PsyCoLaus cohort, N = 1181). Associated risk factors and health consequences were assessed using logistic and/or linear regression.

RESULTS

Prevalence of SCD in 2022 (18.9% [95% CI, 16.2-21.9]) was comparable to prepandemic levels in 2014-2018 (19.5% [17.2-22.1]). Risk factors included established risks for dementia-namely health issues, health behaviours, and depressive symptoms. Self-reported post-COVID, perceived worsening of mental health since the start of the pandemic, less frequent social club attendance, and increased loneliness were also risk factors for SCD. In turn, SCD was associated with poorer objective cognitive performance, difficulty performing instrumental activities of daily living, greater risk of falls, and lower well-being at one-year follow-up.

CONCLUSIONS

While the overall prevalence of SCD in 2022 was comparable to prepandemic levels, we identified several pandemic-related risk factors for SCD, including perceived worsening of mental health and increased isolation since the start of the pandemic. These findings highlight the importance of mental health promotion strategies in reducing cognitive complaints and preventing cognitive decline.

Impact of tobacco smoking on disease-specific outcomes in common neurological disorders: A scoping review

Although the association of smoking with the risk of incident neurological disorders is well established, less is known about the impact of smoking and smoking cessation on outcomes of these conditions. The objective of this scoping review was to synthesize what is known about the impact of smoking and smoking cessation on disease-specific outcomes for seven common neurological disorders. We included 67 studies on the association of smoking and smoking cessation on disease-specific outcomes. For multiple sclerosis, smoking was associated with greater clinical and radiological disease progression, relapses, risk for disease-related death, cognitive decline, and mood symptoms, in addition to reduced treatment effectiveness. For stroke and transient ischemic attack, smoking was associated with greater rates of stroke recurrence, post-stroke cardiovascular outcomes, post-stroke mortality, post-stroke cognitive impairment, and functional impairment. In patients with cognitive impairment and dementia, smoking was associated with faster cognitive decline, and smoking was also associated with greater cognitive decline in Parkinson's disease, but not motor symptom worsening. Patients with amyotrophic lateral sclerosis who smoked faced increased mortality. Last, in patients with cluster headache, smoking was associated with more frequent and longer cluster attack periods. Conversely, for multiple sclerosis and stroke, smoking cessation was associated with improved disease-specific outcomes. In summary, whereas smoking is detrimentally associated with disease-specific outcomes in common neurological conditions, there is growing evidence that smoking cessation may improve outcomes. Effective smoking cessation interventions should be leveraged in the management of common neurological disorders to improve patient outcomes.

Fall Risk Prediction for Community-Dwelling Older Adults: Analysis of Assessment Scale and Evaluation Items without Actual Measurement

The frequency of falls increases with age. In Japan, the population is aging rapidly, and fall prevention measures are an urgent issue. However, assessing fall risk during the coronavirus disease pandemic was complicated by the social distancing measures implemented to prevent the disease, while traditional assessments that involve actual measurements are complicated. This prospective cohort study predicted the risk of falls in community-dwelling older adults using an assessment method that does not require actual measurements. A survey was conducted among 434 community-dwelling older adults to obtain data regarding baseline attributes (age, sex, living with family, use of long-term care insurance, and multimorbidity), Frailty Screening Index (FSI) score, and Questionnaire for Medical Checkup of Old-Old (QMCOO) score. The participants were categorized into fall (n = 78) and non-fall (n = 356) groups. The binomial logistic regression analysis showed that it is better to focus on the QMCOO sub-item score, which focuses on multiple factors. The items significantly associated with falls were Q5 (odds ratio [OR] 1.95), Q8 (OR 2.33), and Q10 (OR 3.68). Our results were similar to common risk factors for falls in normal times. During the pandemic, being able to gauge the risk factors for falls without actually measuring them was important.

Association between social capital and quality of life in older adults with subjective cognitive decline: A cross-sectional study

BACKGROUND

Subjective cognitive decline (SCD) is increasingly recognized as a clinical and medical risk factor for mild cognitive impairment (MCI) and dementia. Currently, there is little evidence regarding the quality of life (QoL) in older adults with SCD and the impact of social capital on their QoL.

AIMS

To examine the perceptions of social capital and QoL among older adults with SCD.

METHODS

A total of 325 participants (92.9 % response rate) with a self-reported diagnosis of SCD completed the Chinese version of the 36-item Short-Form Health Survey, the Chinese Shortened Social Capital Scale and the Generalized Anxiety Disorder Scale. A t-test was used to compare the QoL score of our sample with the Chinese norm. Pearson correlation analysis and multivariate linear regression analysis were used to assess the association of social capital with QoL.

RESULTS

Social capital were strongly correlated with the total QoL, as well as its physical component summary and mental component summary. The QoL score of older adults with SCD was significantly lower than the Chinese norm (P < 0.001). Multivariate analysis showed that social capital, physical activity, nutrition and anxiety symptoms were factors associated with QoL among older SCD population (P < 0.05).

CONCLUSION

The findings of the current study suggest that older adults with SCD may experience lower QoL. Social capital is associated with the QoL in older adults with SCD. These findings have implications for clinicians who work with older adults with SCD.