Effectiveness of Information and Communication Technology (ICT) Interventions in Elderly's Sleep Disturbances: A Systematic Review and Meta-Analysis

Effectiveness of Non-Pharmacological Interventions for Sleep Disorders in Enhancing Quality of Life, Cognitive Function, and Sleep Quality in Older Adults with Mild Cognitive Impairment: A Systematic Review and Meta-Analysis

Background and Objectives: This systematic review with meta-analysis aimed to evaluate and synthesize the scientific evidence of interventions for sleep disorders on sleep quality, cognitive function, and quality of life in older adults with mild cognitive impairment (MCI). Materials and Methods: A systematic literature search was conducted between April 2024 and January 2025 using the Core Collection of seven generic databases: PubMed, EBSCOhost, CINAHL Complete, Cochrane, Scopus, ProQuest, and Web of Science. The PRISMA, RoB 2.0, and GRADEpro tools assessed the evidence's methodological quality and certainty. The protocol was registered in PROSPERO (CRD42024558406). Results: A total of 2815 records were found in the databases, of which eight studies were analyzed using the PICOS format. There was a significant large effect (p = 0.005) in favor of the experimental group compared to the control group in the Sleep Quality Index (p = 0.005). No significant differences were reported for the other variables studied. Conclusions: Interventions for sleep disorders in older people with MCI aimed at improving sleep quality demonstrated significant effects assessed with PSQI. Individual results demonstrated limited effects on cognitive function and quality-of-life assessments.

The effectiveness of exercise interventions in the improvement of sleep in older adult people: a meta-analysis

Background

Sleep problems are prevalent among the older adult population, with a significant impact on their health and overall well-being. Several randomized controlled trials (RCTs) have yielded controversial results regarding the efficacy of exercise interventions in the improvement of sleep among older adult people. This systematic review and meta-analysis aim to assess the influence of exercise interventions on sleep quality within this demographic.

Methods

A search was conducted across four databases, namely Web of Science, PubMed, Embase, and SportDiscus, in order to identify randomized controlled trials investigating exercise interventions and sleep in the older adult. The quality of the studies included was evaluated by two researchers according to the PEDro scale. Meta-analysis and sensitivity analysis were performed utilizing RevMan 5.4 and Stata 17 software.

Result

A total of fifty studies encompassing 3,937 participants were included in the analysis. Regarding patient-reported sleep parameters, exercise interventions exhibited enhancements in sleep quality (WMD = -2.18, 95%CI: -2.83 to -1.53, p < 0.01) and reductions in insomnia severity (SMD = -0.52, 95%CI: -0.79 to -0.25, p < 0.01), albeit without significant improvements in daytime sleepiness (SMD = -0.66, 95%CI: -1.41 to 0.09, p = 0.09). In terms of clinician-reported sleep parameters, exercise interventions resulted in increased total sleep time (WMD = 8.98, 95%CI: 1.19 to 16.78, p < 0.05) and sleep efficiency (WMD = 3.66, 95%CI: 2.46 to 4.85, p < 0.01), and reduced wake time after sleep onset (WMD = -11.85, 95%CI: -15.58 to -8.11, p < 0.01), but did not decrease sleep onset latency (WMD = -3.05, 95%CI: -6.23 to 0.13, p = 0.06) or the number of awakenings during sleep (WMD = -0.73, 95%CI: -1.98 to 0.52, p = 0.25).

Conclusion

Exercise interventions have demonstrated positive effects on enhancing sleep quality among the older adult population. This study lends support to the utilization of exercise interventions as a safe, feasible, and effective non-pharmacological treatment approach for enhancing sleep among older individuals.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/view/CRD42024530227, Identifier CRD42024530227.

Navigating Through Innovation in Elderly's Health: A Scoping Review of Digital Health Interventions

Objectives

Comprehensively map and summarize digital health initiatives for the elderly and caregivers.

Methods

Scoping review between April and May 2022 based on Joanna Briggs methodology. Databases used included PubMed, Cochrane Library, CINAHL Plus, and Web of Science, along with grey literature and hand searches. Two reviewers independently conducted screening and eligibility phases, with a third resolving disagreements. Data were thematically analyzed.

Results

The review included 421 documents. Most documents were published between 2013 and 2022, with a recent increase. Most studies, originating from high-income countries, focused on home applications and were mainly in the testing and validation stages. Telephones and computers were the predominant devices. Health objectives included monitoring, prevention, and treatment, with interventions utilizing directed communication and personal health monitoring for individuals, and telemedicine and decision support for healthcare providers.

Conclusion

Increasing integration of technology in older adults' lives, along with their increasing proficiency, is driving a significant rise in digital health interventions. Despite this growth, further research in middle- and low-income countries, for caregivers and evaluating effectiveness and feasibility of these technological interventions is needed.

Relevance of sleep for wellness: New trends in using artificial intelligence and machine learning

Sleep and well-being have been intricately linked, and sleep hygiene is paramount for developing mental well-being and resilience. Although widespread, sleep disorders require elaborate polysomnography laboratory and patient-stay with sleep in unfamiliar environments. Current technologies have allowed various devices to diagnose sleep disorders at home. However, these devices are in various validation stages, with many already receiving approvals from competent authorities. This has captured vast patient-related physiologic data for advanced analytics using artificial intelligence through machine and deep learning applications. This is expected to be integrated with patients' Electronic Health Records and provide individualized prescriptive therapy for sleep disorders in the future.

Information and Communication Technology-Based Application for Cognitive Behavioral Therapy among Community-Dwelling Older Adults with Insomnia: Development and Validation Study

This study developed an information and communication technology-based mobile application to administer cognitive behavioral therapy to community-dwelling older adults with insomnia. First, the content of the application was determined through a systematic review and preference survey. Preference data on the perception, needs, and preference for non-face-to-face service content were collected from 15 July 2021 to 31 August 2021 from 100 community-dwelling older adults aged 65 years and older. In the design stage, the structure and function of the application were determined, and an interface was designed. The application was developed in conjunction with design experts and programmers using Android Studio software (Android 9). Usability tests were conducted during the implementation stage, followed by an evaluation stage. The evaluation revealed that the application's structure and functions should comprise sleep information, sleep-habit improvement, sleep assistance, video, real-time counseling, and exercise services. These elements were finalized after receiving the results of a preference analysis and advice from an advisory panel of experts in different fields. The developed application was rated with a score of four or higher in all areas. This study successfully developed, implemented, and evaluated a new mobile application called Smart Sleep for community-dwelling older adults with insomnia.