Non-pharmacological interventions targeting sleep quality in older adults: a systematic review and meta-analysis

Mechanisms, Consequences and Role of Interventions for Sleep Deprivation: Focus on Mild Cognitive Impairment and Alzheimer's Disease in Elderly

Sleep is established as an essential physiological need that impacts physical, emotional, and cognitive functions profoundly. Physiologically, inadequate sleep weakens immune function, heightening susceptibility to infections and chronic illnesses such as obesity, diabetes, and cardiovascular diseases. Hormonal disruptions due to sleep loss further exacerbate metabolic dysregulation, contributing to weight gain and other health complications. Emotionally, sleep deprivation leads to mood disturbances, including increased irritability, heightened stress responses, and a greater likelihood of mood disorders like depression and anxiety. These effects are compounded by cognitive impairments such as reduced alertness, impaired memory consolidation, and compromised decision-making abilities, akin to the impairments caused by alcohol consumption. Motor skills and coordination also suffer, elevating the risk of accidents, particularly in high-stress environments. For older adults, sleep quality is closely linked to cognitive function and overall longevity. Optimal sleep patterns are associated with slower brain aging and improved health outcomes. However, sleep disorders exacerbate existing conditions such as epilepsy and asthma, necessitating interventions like cognitive behavioral therapy (CBT) and medications such as melatonin to mitigate their impact. Education emerges as a crucial tool in promoting healthier sleep habits across all age groups. Addressing misconceptions about sleep and integrating sleep health into public health policies are essential steps toward improving overall well-being. Additionally, lifestyle factors such as diet and physical activity play significant roles in regulating sleep patterns, further emphasizing the interconnectedness of sleep with broader health outcomes. In summary, the articles underscore the intricate mechanisms through which sleep influences physiological functions and advocate for comprehensive approaches to enhance sleep hygiene and mitigate the adverse effects of sleep deprivation on human health.

Feeling Younger on Active Summer Days? On the Interplay of Behavioral and Environmental Factors With Day-to-Day Variability in Subjective Age

Background and Objectives

Subjective age, that is, how old people feel in relation to their chronological age, has mostly been investigated from a macro-longitudinal, lifespan point of view and in relation to major developmental outcomes. Recent evidence also shows considerable intraindividual variations in micro-longitudinal studies as well as relations to everyday psychological correlates such as stress or affect, but findings on the interplay with physical activity or sleep as behavioral factors and environmental factors such as weather conditions are scarce.

Research Design and Methods

We examined data from 80 recently retired individuals aged 59-76 years (M = 67.03 years, 59% women) observed across 21 days. Daily diary-based assessments of subjective age, stress, affect, and sleep quality alongside physical activity measurement via Fitbit (steps, moderate-to-vigorous physical activity) and daily hours of sunshine were collected and analyzed using multilevel modeling.

Results

Forty-four percent of the overall variance in subjective age was due to intraindividual variation, demonstrating considerable fluctuation. Affect explained the largest share in day-to-day fluctuations of subjective age, followed by stress and steps, whereas sunshine duration explained the largest share of variance in interindividual differences.

Discussion and Implications

In our daily diary design, subjective age was most strongly related to self-reported affect as a psychological correlate. We, however, also found clear associations with objective data on daily steps and weather. Hence, our study contributes to contextualizing and understanding variations in subjective age in everyday life.

Mixed reality technology for older adults: Evaluating the impact of a novel virtual humanoid coach in a community-based physical exercise program in the Philippines

Physical inactivity among older adults remains a global burden, leading to a variety of health challenges and even mortality. This study evaluated the impact of a novel virtual humanoid coach-driven physical exercise program among older adults. A non-randomized (quasi) experimental research was conducted in two community senior centers. The recruited participants (n = 130) were primarily female older adults with a mean age of 66.40 and agreed to be purposively assigned either experimental or control groups. Trained healthcare providers performed health assessments in three time points using valid and reliable tools. Descriptive statistics, t-tests, and RM-ANOVA were used to quantitatively analyze the data using SPSS version 22. There are significant mean differences between the groups across all functional capacity assessments and Time 2-3 assessment of sleep quality. RM-ANOVA revealed significant differences in physical assessment over time between the two groups. The analyses of time and group interaction revealed significant improvement in health assessments among the members of the mixed reality group compared to the traditional groups. The impact of virtual coaches in community-based enhancing physical activity programs is comparable to the traditional mode and introduces a novel approach to promoting physical activity among older adults.

PROTOCOL: Factors influencing the implementation of non-pharmacological interventions for behaviours and psychological symptoms of dementia in residential aged care homes: A systematic review and qualitative evidence synthesis

This is a protocol for a Cochrane Review. The objectives are as follows. This paper aims to describe a protocol for a systematic review that will synthesise the qualitative evidence regarding factors influencing the implementation of non-pharmacological interventions (NPIs) for behavioural and psychological symptoms of dementia (BPSD) management in residential aged care homes (RACHs). The planned systematic review aims to answer the research question: 'What are the factors influencing the implementation of NPIs in the management of BPSD at RACHs?'. Additionally, the planned systematic review also aims to generate recommendations to guide stakeholders (e.g., clinicians and aged care staff) and policymakers in the implementation of NPIs for managing BPSD at RACHs.

Non-pharmacological interventions for improving sleep outcomes among patients with a diagnosis of coronary artery disease: a systematic review and meta-analysis

AIMS

To determine the effectiveness of non-pharmacological interventions on sleep outcomes among patients with coronary artery disease and recognize pertinent characteristics that potentially affect the effectiveness of such interventions.

METHODS AND RESULTS

Relevant studies conducted before 27 April 2022 were identified through four core electronic databases using terms related to coronary artery disease, sleep outcomes, and randomized controlled trials. Two authors independently conducted study selection, data extraction, and risk-of-bias assessment. Meta-analysis, sub-group analysis, publication bias analysis, and sensitivity analysis were conducted using R version 4.2.2. Of the 4755 retrieved articles, 42 studies were selected for systematic review and 30 studies were included in the meta-analysis. The findings of this study revealed that non-pharmacological interventions significantly improved self-reported sleep quality (standardized mean difference = -0.85, 95% confidence interval -1.08, -0.63), but had no effects on objectively measured sleep efficiency and duration. Regarding the types of interventions involved, environmental control was the most effective in improving self-reported sleep quality, followed by relaxation, self-care behaviour management, and relaxation and cognitive/psychological complex interventions. Through subgroup analysis, we did not find any covariates that were significantly related to self-reported sleep quality.

CONCLUSION

Non-pharmacological interventions have been shown to play beneficial roles in improving self-reported sleep quality among patients with coronary artery disease. Additional studies are required to elucidate the effect of non-pharmacological interventions on objectively measured sleep outcomes and to characterize their optimal frequencies and durations.

REGISTRATION

PROSPERO CRD42022366851.

Sleep Biomarkers for Predicting Cognitive Decline and Alzheimer's Disease: A Systematic Review of Longitudinal Studies

BACKGROUND

Sleep disturbances are considered a hallmark of dementia, and strong evidence supports the association between alterations in sleep parameters and cognitive decline in patients with mild cognitive impairment and Alzheimer's disease (AD).

OBJECTIVE

This systematic review aims to summarize the existing evidence on the longitudinal association between sleep parameters and cognitive decline, with the goal of identifying potential sleep biomarkers of AD-related neurodegeneration.

METHODS

Literature search was conducted in PubMed, Web of Science, and Scopus databases from inception to 28 March 2023. Longitudinal studies investigating the association between baseline objectively-measured sleep parameters and cognitive decline were assessed for eligibility.

RESULTS

Seventeen studies were included in the qualitative synthesis. Sleep fragmentation, reduced sleep efficiency, reduced REM sleep, increased light sleep, and sleep-disordered breathing were identified as predictors of cognitive decline. Sleep duration exhibited a U-shaped relation with subsequent neurodegeneration. Additionally, several sleep microstructural parameters were associated with cognitive decline, although inconsistencies were observed across studies.

CONCLUSIONS

These findings suggest that sleep alterations hold promise as early biomarker of cognitive decline, but the current evidence is limited due to substantial methodological heterogeneity among studies. Further research is necessary to identify the most reliable sleep parameters for predicting cognitive impairment and AD, and to investigate interventions targeting sleep that can assist clinicians in the early recognition and treatment of cognitive decline. Standardized procedures for longitudinal studies evaluating sleep and cognition should be developed and the use of continuous sleep monitoring techniques, such as actigraphy or EEG headband, might be encouraged.