A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours.

The aim of this meta-meta-analysis was to systematically review randomised controlled trial (RCT) evidence examining the effectiveness of e- and m-Health interventions designed to improve physical activity, sedentary behaviour, healthy eating and sleep. Nine electronic databases were searched for eligible studies published from inception to 1 June 2023. Systematic reviews with meta-analyses of RCTs that evaluate e- and m-Health interventions designed to improve physical activity, sedentary behaviour, sleep and healthy eating in any adult population were included. Forty-seven meta-analyses were included, comprising of 507 RCTs and 206,873 participants. Interventions involved mobile apps, web-based and SMS interventions, with 14 focused on physical activity, 3 for diet, 4 for sleep and 26 evaluating multiple behaviours. Meta-meta-analyses showed that e- and m-Health interventions resulted in improvements in steps/day (mean difference, MD = 1329 [95% CI = 593.9, 2065.7] steps/day), moderate-to-vigorous physical activity (MD = 55.1 [95% CI = 13.8, 96.4] min/week), total physical activity (MD = 44.8 [95% CI = 21.6, 67.9] min/week), sedentary behaviour (MD = -426.3 [95% CI = -850.2, -2.3] min/week), fruit and vegetable consumption (MD = 0.57 [95% CI = 0.11, 1.02] servings/day), energy intake (MD = -102.9 kcals/day), saturated fat consumption (MD = -5.5 grams/day), and bodyweight (MD = -1.89 [95% CI = -2.42, -1.36] kg). Analyses based on standardised mean differences (SMD) showed improvements in sleep quality (SMD = 0.56, 95% CI = 0.40, 0.72) and insomnia severity (SMD = -0.90, 95% CI = -1.14, -0.65). Most subgroup analyses were not significant, suggesting that a variety of e- and m-Health interventions are effective across diverse age and health populations. These interventions offer scalable and accessible approaches to help individuals adopt and sustain healthier behaviours, with implications for broader public health and healthcare challenges.

Older adults' community participation, physical activity, and social interactions during and following COVID-19 restrictions in Australia: a mixed methods approach.

BACKGROUND: With the increasing age of the global population, key components of healthy ageing including community, physical, and social participation continue to gain traction. However, management of the COVID-19 pandemic aimed to protect older adults and reduce the spread of the virus, this restricted community participation and reduced the opportunities for social interaction. METHODS: This mixed methods study investigates community dwelling older adults' community participation; physical activity and social interaction prior to, during, and following the COVID-19 lockdown in Adelaide, Australia. Twenty-six community dwelling older adults were monitored over three time-points between November 2018 and October 2020, with Global Positioning Systems, accelerometry and self-reported diaries. In addition, nineteen participants completed semi-structured interviews. RESULTS: Community participation varied across the three time points, with significant reduction in the number of trips taken out-of-home (p = 0.021), social interactions (p = 0.001) and sleep quality (p = 0.008) during restrictions. Five themes were identified to explain personal experiences of community participation during restrictions: (1) Reframing of meaning, (2) Redefining to maintain activities, (3) Revision of risk, (4) Reflection and renewal and (5) Future planning. CONCLUSION: During COVID-19 the physical and social activities of community dwelling older adults changed. Services that support older adults to adapt their activities   , considering their capacities and preferences, to facilitate community participation are required.

Integrating community participation in the transition of older adults from hospital to home: a scoping review.

INTRODUCTION: Benefits of community participation and physical activity for the health and wellbeing of older adults are well documented. This review aims to answer the question; "How is community participation considered for older adults in the transition from hospital to home?" MATERIALS AND METHODS: This scoping review searched key databases using subject headings and keywords. Two independent reviewers selected studies based on a systematic procedure. Inclusion criteria were adults aged ≥60 years, transitioning from hospital to home, reporting on community participation, inclusive of leisure activities, social activities, and physical activity. RESULTS: Of 2206 initial unique articles, 19 met inclusion criteria. Articles covered a range of diagnoses, most frequently stroke, hip replacement, or fracture. Numerous measures of community participation were reported, identifying "low" and "reduced" community participation in ten studies. Measures of physical activity, health-related quality of life, sleep quality, and loneliness were variable. Five studies reported interventions and four reported improved components of community participation. Numerous barriers to community participation were identified, with recommendations for future transition care services considered. CONCLUSION: There are considerable barriers to promoting community participation in transition care services for older people. Older adults need information to prepare for returning home from hospital and to regain valued leisure and social activities for health-related quality of life.IMPLICATIONS FOR REHABILITATIONCommunity participation is an important component of healthy ageing which health professionals should consider beyond discharge.Levels of mobility and endurance should be considered in terms of facilitating community participation for older adults.Transition care services should provide adequate information to prepare individuals expectations of returning home following hospital stay, whilst attempting to maintain valued leisure and social activities.

Inertial Sensor Reliability and Validity for Static and Dynamic Balance in Healthy Adults: A Systematic Review.

Compared to laboratory equipment inertial sensors are inexpensive and portable, permitting the measurement of postural sway and balance to be conducted in any setting. This systematic review investigated the inter-sensor and test-retest reliability, and concurrent and discriminant validity to measure static and dynamic balance in healthy adults. Medline, PubMed, Embase, Scopus, CINAHL, and Web of Science were searched to January 2021. Nineteen studies met the inclusion criteria. Meta-analysis was possible for reliability studies only and it was found that inertial sensors are reliable to measure static standing eyes open. A synthesis of the included studies shows moderate to good reliability for dynamic balance. Concurrent validity is moderate for both static and dynamic balance. Sensors discriminate old from young adults by amplitude of mediolateral sway, gait velocity, step length, and turn speed. Fallers are discriminated from non-fallers by sensor measures during walking, stepping, and sit to stand. The accuracy of discrimination is unable to be determined conclusively. Using inertial sensors to measure postural sway in healthy adults provides real-time data collected in the natural environment and enables discrimination between fallers and non-fallers. The ability of inertial sensors to identify differences in postural sway components related to altered performance in clinical tests can inform targeted interventions for the prevention of falls and near falls.

eHealth interventions targeting nutrition, physical activity, sedentary behavior, or obesity in adults: A scoping review of systematic reviews.

A vast body of evidence regarding eHealth interventions for nutrition, physical activity, sedentary behavior, and obesity exists. This scoping review of systematic reviews aimed to evaluate the current level of evidence in this growing field. Seven electronic databases were searched for systematic reviews published until October 27, 2019. The systematic reviews must have included adult participants only and have evaluated eHealth behavioral interventions with the primary aim of changing nutrition, physical activity, and sedentary behavior or treating or preventing overweight and obesity. One hundred and six systematic reviews, published from 2006 to 2019, were included. Almost all (n = 98) reviews evaluated the efficacy of interventions. Over half (n = 61) included interventions focused on physical activity, followed by treatment of obesity (n = 28), nutrition (n = 22), prevention of obesity (n = 18), and sedentary behavior (n = 6). Many reviews (n = 46) evaluated one type of eHealth intervention only, while 60 included two or more types. Most reviews (n = 67) were rated as being of critically low methodological quality. This scoping review identified an increasing volume of systematic reviews evaluating eHealth interventions. It highlights several evidence gaps (e.g., evaluation of other outcomes, such as reach, engagement, or cost effectiveness), guiding future research efforts in this area.

Community participation of community dwelling older adults: a cross-sectional study.

BACKGROUND: With the advancing age of the population, and increasing demands on healthcare services, community participation has become an important consideration for healthy ageing. Low levels of community participation have been linked to increased mortality and social isolation. The extent to which community participation has been measured objectively in older adults remains scarce. This study aims to describe where and how older adults participate in the community and determine the feasibility of measurement methods for community participation. METHODS: This observational cross-sectional study obtained data from 46 community dwelling older adults. A combination of Global Positioning Systems (GPS), accelerometry, and self-reported diaries were used over a 7-day monitoring period. Feasibility of methods were determined by calculating the loss of GPS data, questionnaires, and comparison of self-reported locations with GPS co-ordinates. Relationships between community participation, physical activity, social interactions, health related quality of life, sleep quality and loneliness were explored. RESULTS: Older adults took a median (IQR) of 15 (9.25-18.75) trips out of home over the 7-day monitoring period, most frequently visiting commercial and recreational locations. In-home activities were mainly sedentary in nature, with out of home activities dependent on location type. Self-reported and GPS measures of trips out of home and the locations visited were significantly correlated (self-report 15.7 (5.6) GPS 14.4 (5.8) (r = 0.94)). Significant correlations between both the number of trips taken from home, with social interactions (r = 0.62) and the minutes of moderate to vigorous physical activity (MVPA) (r = 0.43) were observed. Daily MVPA was higher in participants who visited local walk/greenspaces (r = 0.48). CONCLUSION: Participants performed more activities with social interactions out of home and visited commercial locations most frequently. The combination of GPS, accelerometry and self-report methods provided a detailed picture of community participation for older adults. Further research is required with older adults of varying health status to generalise the relationships between community participation, location and physical activity. TRIAL REGISTRATION: Ethical approval was gained from the Flinders University Social and Behavioural Research Ethics Committee (protocol no. 8176).

Location monitoring of physical activity and participation in community dwelling older people: a scoping review.

Background: Community participation and physical activity are important for the health of older adults. This review aimed to identify studies which have measured physical activity and community participation in older adults using Global positioning systems.Materials and methods: This scoping review searched key databases using predetermined subject headings and keywords. Two independent reviewers selected studies based on a systematic procedure following current guidelines. Inclusion criteria for studies were: participants aged over 50 years living independently in the community that reported on physical activity and/or participation inclusive of physical and social activity, and including a quantitative measure of location. All searches were limited to English. The primary review question was; "What studies have monitored the location of physical activity in an older population?" with secondary enquiries investigating the types of global positioning system devices, barriers and facilitators for activity and community participation.Results: The search returned 3723 articles (following duplicate removal) and 45 met the inclusion criteria. Studies from 12 countries published over a 12-year period were included. Participants were mainly healthy (n = 23) followed by having a cognitive impairment (n = 10). There were 14 different global positioning system devices used, assessing a variety of outcomes (n = 24). Seventeen studies identified facilitators and barriers to participation and physical activity in an older population. The most common facilitators were safety, weather and access to multi-purpose facilities. The most common barriers were weather, safety, low income/high deprivation areas and use of motor vehicles.Conclusion: This scoping review identified a variety of locational monitoring of older people using global positioning devices. Global positioning systems are a valuable tool to obtain accurate activity locations of older people. There is a need for clear guidelines regarding the use of global positioning system devices and specified outcomes in primary research to enable comparison across studies.Implications for rehabilitationPhysical activity and community participation are vital for healthy ageing.The environment can act as a facilitator or barrier to physical activity and community participation for older adults.Interventions need to target facilitators (weather, safety, facility access and social components) to maximize physical activity and community participation in older people.Interventions should be designed to reduce the barriers (weather, safety, low income and motor vehicle dependency) that prevent older adults from actively participating in their community.

How Commercially Available Virtual Reality-Based Interventions Are Delivered and Reported in Gait, Posture, and Balance Rehabilitation: A Systematic Review.

OBJECTIVE: Virtual reality (VR) technologies are increasingly used in physical rehabilitation; however, it is unclear how VR interventions are being delivered, and, in particular, the role of the therapist remains unknown. The purpose of this study was to systematically evaluate how commercially available VR technologies are being implemented in gait, posture, and balance rehabilitation, including justification, content, procedures, and dosage of the intervention and details of the therapist role. METHODS: Five databases were searched between 2008 and 2018. Supervised interventional trials with >10 adult participants using commercially available VR technologies to address mobility limitations were independently selected by 2 authors. One author extracted reported intervention characteristics into a predesigned table and assessed methodological quality, which was independently verified by a second author. A total of 29 studies were included. RESULTS: Generally, minimal clinical reasoning was provided to justify technology or activity selection, with recreational systems and games used most commonly (n = 25). All but 1 study used a single interventional technology. When explicitly described, the intervention was delivered by a physical therapist (n = 14), a therapist assistant (n = 2), both (n = 1), or an occupational therapist (n = 1). Most studies reported supervision (n = 12) and safeguarding (n = 8) as key therapist roles, with detail of therapist feedback less frequently reported (n = 4). Therapist involvement in program selection, tailoring, and progression was poorly described. CONCLUSION: Intervention protocols of VR rehabilitation studies are incompletely described and generally lack detail on clinical rationale for technology and activity selection and on the therapist role in intervention design and delivery, hindering replication and translation of research into clinical practice. Future studies utilizing commercially available VR technologies should report all aspects of intervention design and delivery and consider protocols that allow therapists to exercise clinical autonomy in intervention delivery. IMPACT STATEMENT: The findings of this systematic review have highlighted that VR rehabilitation interventions targeting gait, posture, and balance are primarily delivered by physical therapists, whose most reported role was supervision and safeguarding. There was an absence of detail regarding complex clinical skills, such as tailoring of the intervention and reasoning for the choice of technology and activity. This uncertainty around the role of the therapist as an active ingredient in VR-based rehabilitation hinders the development of implementation guidelines. To inform the optimal involvement of therapists in VR rehabilitation, it is essential that future studies report on all aspects of VR intervention design and delivery.

Classification of Balance Assessment Technology: A Scoping Review of Systematic Reviews.

Accurate assessment of postural balance is necessary to identify and measure falls risk, inform clinical practice, determine efficacy of treatment and ultimately falls prevention. The aim of this scoping review was to identify gaps and inform practice, research and policy. There are a multitude of technologies available for assessing balance and no one that meets the requirements of every situation. Force plates had provided the gold standard technology for measuring centre of pressure variables as the cornerstone of balance assessment. Inertial measurements units are now considered as valid and reliable, however inertial sensors in smartphone require further refinement to measure with the same degree of accuracy. Fusion systems combine wearable and non-wearable technology in formal gait labs but also gaming. The flexibility provided choice of wearable, non-wearable and fusion systems meets most clinical and research requirements.