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Background: Effective recruitment and retention of participants are prerequisites for high quality physical activity intervention programs and evaluation trials, but this is underreported in the literature making it difficult to identify the most promising strategies. Incorporating stakeholder feedback in the design of program components and recruitment materials can optimise recruitment reach and the engagement of participants throughout programs and trials., Methods: The Active Women over 50 randomised controlled trial is testing a program designed to support women aged 50 + to be more physically active. To optimise program design and recruitment flyers, we conducted one focus group and 17 interviews with diverse purposively sampled women aged 50 + living in New South Wales, Australia. Women were asked to review recruitment flyers and the four proposed program components: (1) health coaching, (2) dedicated website with resources, (3) private Facebook group and (4) motivational email and SMS messages. Data analysis incorporated framework methods, deductive analysis using the Adapted Mobile App Rating Scale for evaluating websites and abductive analysis to critique the underlying program theory., Results: Five themes were identified in relation to recruitment: I want to see (women like) myself, Keep it real, Readability is for everyone, Why should I do it? and Find us where we live. The four program components were strongly supported as a package, but were valued differently for their relative importance. Results were used to refine the health coaching scheduling; website appearance and content; promotion and moderation of the Facebook group; and the structure, appearance and content of messages. Not all suggestions were actionable due to technological and time constraints, and the desire to keep program costs low enough for delivery at scale during the study and beyond. The program theory was expanded to encompass two emergent concepts., Conclusions: This consultation resulted in substantial refinements to recruitment flyers and strategies, and all four program components. We anticipate that these refinements will increase the reach and appeal of the trial and optimise future scale-up. Consultation feedback, while specific to this program, may have wider transferability for recruitment and the design of programs with similar components targeting women aged 50+., (© 2024. The Author(s).)

Objective: To explore the relationship between long-term physical activity (PA) participation and falls., Methods: Participants in the Australian Longitudinal Study of Women's Health born 1946-1951 self-reported amounts of PA every 3 years since 1998 (mean age: 54 years, n=11 796). Latent class analysis described profiles of self-reported PA participation over 18 years. Associations between patterns of PA participation and self-reported falls measured in 2019 were examined using multinomial logistic regression adjusted for directed-acyclic graph-informed potential confounders, with the highly active group as the reference category., Results: Women were grouped into five PA participation profiles. Compared with consistently highly active patterns (maintaining ≥300 min/week, 22%), consistently lower levels of PA<100 min/week (18%), consistently some PA<150 min/week (18%) and decreasing PA but maintaining≥150 min/week (n=3540, 30%) had higher odds of non-injurious falls (odds Ratio lower level (OR): 1.59, 95% CI 1.29 to 1.97; OR some PA : 1.27, 95% CI 1.04 to 1.55; OR decreasing activity :1.29, 95% CI 1.02 to 1.63) and injurious falls (OR low level : 1.32, 95% CI 1.06 to 1.64; OR some PA : 1.27, 95% CI 1.04 to 1.54; OR decreasing activity : 1.47, 95% CI 1.18 to 1.83). No association was found between increasing PA (≥150 min/week, 11%) for non-injurious (OR 1.07, 95% CI 0.89 to 1.29) and injurious falls (OR 1.07, 95% CI 0.90 to 1.29). After adjusting for potential confounders, consistently lower levels of PA remained associated with increased non-injurious falls odds (OR 1998 survey : 1.40, 95% CI 1.11 to 1.77; OR 2016 survey : 1.35, 95% CI 1.07 to 1.71)., Conclusion: The increased odds of falls among women with consistently lower levels of PA over 18 years supports ongoing participation of 150+ min/week of PA., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)

Background: Behaviour change interventions can result in lasting improvements in physical activity (PA). A broad implementation of behaviour change interventions are likely to be associated with considerable additional costs, and the evidence is unclear whether they represent good value for money. The aim of this study was to investigate costs and cost-effectiveness of behaviour change interventions to increase PA in community-dwelling adults., Methods: A search for trial-based economic evaluations investigating behaviour change interventions versus usual care or alternative intervention for adults living in the community was conducted (September 2023). Studies that reported intervention costs and incremental cost-effectiveness ratios (ICERs) for PA or quality-adjusted life years (QALYs) were included. Methodological quality was assessed using the Consensus Health Economic Criteria (CHEC-list). A Grading of Recommendations Assessment, Development and Evaluation style approach was used to assess the certainty of evidence (low, moderate or high certainty)., Results: Sixteen studies were included using a variety of economic perspectives. The behaviour change interventions were heterogeneous with 62% of interventions being informed by a theoretical framework. The median CHEC-list score was 15 (range 11 to 19). Median intervention cost was US$313 per person (range US$83 to US$1,298). In 75% of studies the interventions were reported as cost-effective for changes in PA (moderate certainty of evidence). For cost per QALY/gained, 45% of the interventions were found to be cost-effective (moderate certainty of evidence). No specific type of behaviour change intervention was found to be more effective., Conclusions: There is moderate certainty that behaviour change interventions are cost-effective approaches for increasing PA. The heterogeneity in economic perspectives, intervention costs and measurement should be considered when interpreting results. There is a need for increased clarity when reporting the functional components of behaviour change interventions, as well as the costs to implement them., (© 2024. The Author(s).)

Background: Falls and physical inactivity increase with age. However, physical activity, falls and their associations in older people born at different times are unclear., Methods: Women born 1921-26 and 1946-51 who completed follow-up questionnaires in 1999 (n = 8 403, mean (SD) age: 75 (1) years) and 2019 (n = 7 555; 71 (1) years) in the Australian Longitudinal Study on Women's Health. Self-reported noninjurious and injurious falls in the previous 12 months and weekly amounts and types of physical activity (brisk walking, moderate- and vigorous-intensity) were compared between the cohorts using Chi-square tests. Associations between physical activity, and noninjurious and injurious falls were estimated using multinomial logistic regressions informed by a directed acyclic graph., Results: A greater proportion of the later (1946-51) cohort (59%) reached 150-300 minutes of weekly physical activity, as recommended by the World Health Organization, compared to the earlier (1921-26) cohort (43%, p < .001). A greater proportion of the later cohort reported noninjurious falls (14% vs 8%). Both cohorts reported similar proportions of injurious falls (1946-51:15%, 1921-26:14%). In both cohorts, participation in 150-300 minutes of physical activity was associated with lower odds of noninjurious falls (adjusted Odds Ratio, 95% CI: 1921-26: 0.66, 0.52-0.84; 1946-51: 0.78, 0.63-0.97) and injurious falls (1921-26: 0.72, 0.60-0.87; 1946-51: 0.78, 0.64-0.96)., Conclusions: Participation in recommended levels of physical activity was associated with reduced falls in both cohorts. However, generational differences were found with more falls and more physical activities in the women born later. Future studies could examine the reasons contributing to the generational differences., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America.)

Purpose: This study aimed to compare the responsiveness of patient-reported and device-based instruments within four physical activity trials., Methods: This was a secondary analysis of four randomized trials that used both a patient-reported outcome measure (the Incidental and Planned Exercise Questionnaire (IPEQ)) and a device-based instrument (ActiGraph or ActivPAL) to measure physical activity. The four trials included were (i) Activity and MObility UsiNg Technology (AMOUNT), digitally enabled exercises in those undertaking aged care and neurological rehabilitation; (ii) Balance Exercise Strength Training at Home, home-based balance and strength exercises in community-dwelling people 65 yr or older; (iii) Coaching for Healthy Ageing (CHAnGE), physical activity coaching and fall prevention intervention in community-dwelling people 60 yr or older; and (iv) Fitbit trial, fall prevention and physical activity promotion with health coaching and activity monitor in community-dwelling people 60 yr or older. We estimated treatment effects for all variables within each physical activity instrument using regression analyses and expressed results as effect sizes (ES)., Results: Overall, device-based instruments were more responsive among healthy older adults (ES range, 0.01 to 0.32), whereas the IPEQ was more responsive among adults requiring rehabilitation (ES range, -0.06 to 0.35). Both the IPEQ and device-based instruments were more responsive in trials that promoted walking via coaching participants to increase their daily steps (AMOUNT (ES range, -0.06 to 0.35), CHAnGE (ES range, -0.24 to 0.22), and Fitbit trial (ES range, -0.23 to 0.32)). Individual variables within the IPEQ and device-based instruments varied in their responsiveness (ES range, -0.13 to 0.20)., Conclusions: Both the IPEQ and device-based instruments are able to detect small changes in physical activity levels. However, responsiveness varies across different interventions and populations. Our findings provide guidance for researchers and clinicians in selecting an appropriate instrument to measure changes in physical activity., (Copyright © 2023 by the American College of Sports Medicine.)

Background: The Australian population is highly diverse in terms of cultural heritage, languages spoken, and geographical dispersion. Health outcomes are often worse among these culturally, linguistically, and geographically diverse populations, and this is reflected in rates of physical activity participation, with people from these groups often engaging in insufficient physical activity for health benefits. This research aimed to investigate if physical activity intervention studies conducted in Australia were (1) designed to recruit culturally, linguistically, and geographically diverse participants and (2) recruiting culturally, linguistically, and geographically diverse participants., Methods: We conducted a systematic review of physical activity intervention studies conducted in adults in Australia between 2015 and November 2022. Information relevant to inclusivity in study recruitment methods and diversity of recruited participants was extracted., Results: We identified and extracted data from 371 studies, of which 98 were protocol papers for which no follow-up data was available. Only 26 studies (7%) included methods to recruit culturally or linguistically diverse participants. Most studies (189, 51%) recruited participants from major city locations, with few studies recruiting from more remote locations. No studies included recruitment from very remote regions. Information on cultural, linguistic, or geographic diversity of participants recruited to physical activity studies was provided by 109 studies (40% of studies including results) with the majority recruiting White, English-speakers from major cities., Conclusions: Few Australian physical activity studies are designed to recruit culturally, linguistically, and geographically diverse participants. Due to limited reporting of the diversity of participants, comparisons with population-representative data are unreliable.

Objectives: To evaluate the effects of sport or physical recreation on participation, mobility and quality of life for adults living with disabilities., Design: Systematic review with meta-analysis., Data Sources: Six databases searched from inception to May 2022., Eligibility Criteria: Randomised controlled trials including adults living with a physical or intellectual disability, comparing sport or physical recreation to non-active control., Results: Seventy-four trials (n=2954; mean age 55 years) were included. Most (70) trials included people with physical disabilities, none evaluated sport and the most common physical recreation activities tested were traditional Chinese exercise (35%), yoga (27%) and dance (18%). Mean frequency and duration was 65 min/session, two times per week for 13 weeks. Most (86%) interventions were led by people with experience and/or training in the recreation activity, and only 37% reported leader experience and/or training working with people with disabilities. Participation was measured as attendance (mean 81%, 30 intervention groups). Physical recreation improved mobility (standardised mean difference (SMD) 0.38, 95% CI 0.07 to 0.69, n=469) and walking endurance (mean difference (MD) 40.3 m, 95% CI 19.5 to 61.1, n=801) with low certainty evidence and balance (Berg Balance Scale, range 0-56 points; MD 3.4 points, 95% CI 2.3 to 4.4, n=906) and quality of life (physical health; SMD 0.37, 95% CI 0.02 to 0.72, n=468) with very low certainty evidence, but not walking speed (MD 0.03 m/s, 95% CI -0.05 to 0.11, n=486)., Conclusion: Physical recreation may confer multiple benefits for people living with disabilities regardless of the activity chosen, thus offering a potentially enjoyable and scalable strategy to increase physical activity., Prospero Registration Number: CRD42018104379., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Observing trends in research publications helps to identify the quantity and quality of research produced, as well as reveal evidence gaps. No comprehensive review of the quality and quantity of physical activity intervention trials has been conducted., Objective: We aimed to investigate i) the volume and quality (and changes in these over time) of randomized controlled trials evaluating physical activity interventions, and ii) the association between journal ranking and trial quality., Methods: We searched the Physiotherapy Evidence Database (PEDro) for trials investigating physical activity interventions (no restrictions for population, comparison, or language). Descriptive statistics were used to describe the volume and quality of trials. The association between journal ranking (Journal Impact Factor) and trial quality (PEDro Scale) was examined using Spearman's rho correlation., Results: We identified 1779 trials, of which 40% (n = 710) were published between 2016 and 2020. The mean (SD) total PEDro score was 5.3 (1.5) points out of 10, increasing over time from 2.5 (0.7) points in 1975-1980 to 5.6 (1.4) points in 2016-2020. Quality criteria that were least reported included blinding of intervention deliverers (therapists) (n = 3, 0.2%), participants (n = 21, 1.2%), or assessors (n = 541, 31%); concealed allocation to groups (n = 526, 30%); and intention to treat analysis (n = 764, 43%). There was a small correlation between trial quality and Journal Impact Factor (0.21, p < 0.001)., Conclusion: A large volume of trials has investigated physical activity interventions. The quality of these trial reports is suboptimal but improving over time. Journal ranking should not be used for selecting high quality trials., Competing Interests: Declaration of competing interest Cathie Sherrington is a member of the PEDro Steering Committee. Anne Moseley was a member of the PEDro Steering Committee until December 2021. Marina B Pinheiro is a member of the PEDro training and development sub-committee. The remaining authors confirm they have no conflicts of interest., (Copyright © 2024 The Author(s). Publicado por Elsevier España, S.L.U. All rights reserved.)

Background: Understanding behavior change techniques (BCTs) used in randomized controlled trials (RCTs) of physical activity programs/services for older adults can help us to guide their implementation in real-world settings., Purpose: This study aims to: (a) identify the number and type of BCTs used in physical activity programs/services for older adults evaluated in large, good quality RCTs and (b) explore the impact of different BCTs on different outcome domains., Methods: This is a secondary data analysis of a WHO-commissioned rapid review of physical activity programs/services for older adults. Fifty-six trials testing 70 interventions were coded for the type and number of BCTs present using a published BCT taxonomy. The proportion of positive effects found from physical activity interventions using the most common BCTs was calculated for the outcomes of physical activity, intrinsic capacity, functional ability, social domain, cognitive and emotional functioning, and well-being and quality of life., Results: Thirty-nine of the 93 possible BCTs were identified in the included trials and 529 BCTs in total (mean 7.6, range 2-17). The most common BCTs were "action planning" (68/70 interventions), "instructions on how to perform a behavior" (60/70), "graded tasks" (53/70), "demonstration of behavior" (44/70), and "behavioral practice/rehearsal" (43/70). Interventions that used any of the most common BCTs showed overwhelmingly positive impacts on physical activity and social domain outcomes., Conclusion: Consideration of which BCTs are included in interventions and their impact on outcomes can improve the effectiveness and implementation of future interventions. To enable this, providers can design, implement, and evaluate interventions using a BCT taxonomy., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.)

Importance: Falls and fall-related injuries are common among older adults. Older adults are recommended to undertake 150 to 300 minutes of physical activity per week for health benefits; however, the association between meeting the recommended level of physical activity and falls is unclear., Objectives: To examine whether associations exist between leisure-time physical activity and noninjurious and injurious falls in older women., Design, Setting, and Participants: This population-based cohort study used a retrospective analysis of the Australian Longitudinal Study on Women's Health (ALSWH). ALSWH participants born from 1946 to 1951 who completed follow-up questionnaires in 2016 (aged 65-70 years) and 2019 (aged 68-73 years) were included. Statistical analysis was performed from September 2022 to February 2023., Exposure: Self-reported weekly amounts (0, 1 to <150, 150 to <300, ≥300 minutes) and types of leisure-time physical activity, including brisk walking and moderate- and vigorous-intensity physical activity, in the 2016 survey., Main Outcome and Measures: Noninjurious and injurious falls in the previous 12 months reported in the 2019 survey. Associations between leisure-time physical activity and falls were quantified using directed acyclic graph-informed multinomial logistic regression and presented in odds ratios (ORs) and 95% CIs., Results: This study included 7139 women (mean [SD] age, 67.7 [1.5] years). Participation in leisure-time physical activity at or above the level recommended by the World Health Organization (150 to <300 min/wk) was associated with reduced odds of noninjurious falls (150 to <300 min/wk: OR, 0.74 [95% CI, 0.59-0.92]; ≥300 min/wk: OR, 0.66 [95% CI, 0.54-0.80]) and injurious falls (150 to <300 min/wk: OR, 0.70 [95% CI, 0.56-0.88]; ≥300 min/wk: OR, 0.77 [95% CI, 0.63-0.93]). Compared with women who reported no leisure-time physical activity, those who reported brisk walking (OR, 0.83 [95% CI, 0.70-0.97]), moderate leisure-time physical activity (OR, 0.81 [95% CI, 0.70-0.93]), or moderate-vigorous leisure-time physical activity (OR, 0.84 [95% CI, 0.70-0.99]) had reduced odds of noninjurious falls. No statistically significant associations were found between the types of leisure-time physical activity and injurious falls., Conclusions and Relevance: Participation in leisure-time physical activity at the recommended level or above was associated with lower odds of both noninjurious and injurious falls. Brisk walking and both moderate and moderate-vigorous leisure-time physical activity were associated with lower odds of noninjurious falls.

Issue Addressed: Despite strong evidence of physical and mental health benefits from physical activity, participation is low. Physical activity promotion by health professionals can effectively increase physical activity participation. This study aimed to explore the frequency of physical activity promotion by health professionals in public hospitals with a focus on community-based structured exercise; and facilitators and barriers to such promotion., Methods: We surveyed health professionals (n = 100) from physiotherapy, rheumatology and rehabilitation departments at six public hospitals in Sydney, Australia., Results: Most common respondent characteristics were physiotherapist (84%), female (68%), aged 25-34 years (45%) and treating older adults (45%). Almost all health professionals (94%) considered themselves physical activity role-models. Half (53%) reported promoting physical activity frequently/often to their clients. Those working with children with a physical disability (23%) were more likely to promote physical activity (Relative Risk 1.69, 95% CI 1.13-2.51, p = .03), than those working with adults or older adults. Half the physiotherapists (52%) reported providing tailored advice about increasing physical activity frequently/often, but only 20% provided advice about structured physical activity. Barriers reported by physiotherapists were lack of time (51%) and client's access to transport (61%)., Conclusion: Only half the health professionals surveyed offered tailored physical activity advice to clients, and advice on structured physical activity was less common. SO WHAT?: Some promotion of physical activity by health professionals is occurring in hospital settings but more work is needed to embed this within clinical care., (© 2023 The Authors. Health Promotion Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of Australian Health Promotion Association.)

Background: There is strong evidence that exercise reduces falls in older people living in the community, but its effectiveness in residential aged care is less clear. This systematic review examines the effectiveness of exercise for falls prevention in residential aged care, meta-analysing outcomes measured immediately after exercise or after post-intervention follow-up., Methods: Systematic review and meta-analysis, including randomised controlled trials from a Cochrane review and additional trials, published to December 2022. Trials of exercise as a single intervention compared to usual care, reporting data suitable for meta-analysis of rate or risk of falls, were included. Meta-analyses were conducted according to Cochrane Collaboration methods and quality of evidence rated using the Grading of Recommendations Assessment, Development and Evaluation approach., Results: 12 trials from the Cochrane review plus 7 new trials were included. At the end of the intervention period, exercise probably reduces the number of falls (13 trials, rate ratio [RaR] = 0.68, 95% confidence interval [CI] = 0.49-0.95), but after post-intervention follow-up exercise had little or no effect (8 trials, RaR = 1.01, 95% CI = 0.80-1.28). The effect on the risk of falling was similar (end of intervention risk ratio (RR) = 0.84, 95% CI = 0.72-0.98, 12 trials; post-intervention follow-up RR = 1.05, 95% CI = 0.92-1.20, 8 trials). There were no significant subgroup differences according to cognitive impairment., Conclusions: Exercise is recommended as a fall prevention strategy for older people living in aged care who are willing and able to participate (moderate certainty evidence), but exercise has little or no lasting effect on falls after the end of a programme (high certainty evidence)., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Vigorous Intermittent Lifestyle Physical Activity (VILPA) refers to brief bouts of vigorous intensity physical activity performed as part of daily living. VILPA has been proposed as a novel concept to expand physical activity options among the least active. As a nascent area of research, factors which impede or encourage VILPA in physically inactive adults are yet to be explored. Such information is pertinent in the design of future interventions. We examined the barriers and enablers of VILPA among physically inactive adults using the Capability, Opportunity, Motivation, Behavior (COM-B) model as a conceptual framework., Methods: We recruited a sample of self-identified physically inactive middle-aged and older adults (N = 78) based in Australia to take part in 19 online focus groups across three age groups: young-middle (age 35-44), middle (age 45-59) and old (age 60-76). We analyzed interviews using a critical realist approach to thematic analysis. Identified barriers and enablers were subsequently mapped onto the COM-B model components., Results: The data generated 6 barriers and 10 enablers of VILPA that corresponded to COM-B concepts. Barriers included physical limitations (physical capability), perceptions of aging, need for knowledge (psychological capability), environmental constraints (physical opportunity), perceptions of effort and energy, and fear (automatic motivation). Enablers included convenience, reframing physical activity as purposeful movement, use of prompts and reminders (physical opportunity), normalization of taking the active option, gamification (social opportunity), sense of achievement, health improvements, personally salient rewards (reflective motivation), identity fit, and changing from effortful deliberation to habitual action (automatic motivation)., Conclusion: The barriers and enablers of VILPA span capability, opportunity, and motivation beliefs. Promoting the time-efficient nature and simplicity of VILPA requiring no equipment or special gym sessions, the use of prompts and reminders at opportune times, and habit formation strategies could capitalize on the enablers. Addressing the suitability of the small bouts, the development of specific guidelines, addressing safety concerns, and explicating the potential benefits of, and opportunities to do, VILPA could ameliorate some of the barriers identified. Future VILPA interventions may require limited age customization, speaking to the potential for such interventions to be delivered at scale., (© 2023. The Author(s).)

Background: Most reviews investigating physical activity interventions for older people consider evidence primarily from high-income countries. This review examined physical activity interventions for older people from low- and middle-income countries., Methods: We searched 9 electronic databases to identify randomized controlled trials or quasi-randomized trials studies investigating physical activity interventions for people aged 60+ in low- and middle-income countries. Following study selection, one reviewer extracted relevant data. A second reviewer double-checked the data extraction of a randomly selected sample of interventions (20%). Data were summarized using descriptive statistics., Results: We included 234 studies from 19 countries, investigating 259 distinct physical activity interventions. Studies were mostly conducted in upper middle-income countries (89%), often assessing physical activity interventions through randomized controlled trials (82%). Most studies investigated a mixed population in terms of sex (68%), with a mean age between 65 and 70 years (36%), not selected on the basis of having a specific health condition (55%). The intervention most commonly investigated was structured exercise (63%) and "no intervention" was the most frequent comparator (47%). The outcomes measured more often were intrinsic capacity (59%) and functional ability (51%), whereas physical activity, falls, and social outcomes were rare. Only 2 studies targeted underserved populations., Conclusion: Although we identified a substantial number of randomized controlled trials, most evidence for physical activity interventions for older people in low- and middle-income countries is limited to upper middle-income countries. Gaps identified included interventions targeting populations with underserved backgrounds, using sport as an intervention, and assessing the impact of physical activity interventions on physical activity, falls, and social outcomes.

Background: Evidence supporting physical activity for older adults is strongly positive. Implementation and scale-up of these interventions need to consider the value for money. This scoping review aimed to assess the volume of (i) systematic review evidence regarding economic evaluations of physical activity interventions, and (ii) of cost utility analysis (CUA) studies (trial- or model-based) of physical activity interventions for older people., Methods: We searched five databases (January 2010 to February 2022) for systematic reviews of economic evaluations, and two databases (1976 to February 2022) for CUA studies of physical activity interventions for any population of people aged 60+ years., Results: We found 12 potential reviews, two of which were eligible for inclusion. The remaining 10 reviews included eligible individual studies that were included in this review. All individual studies from the 12 reviews (n = 37) investigated the cost-effectiveness of structured exercise and most showed the intervention was more costly but more effective than no intervention. We identified 27 CUA studies: two investigated a physical activity promotion program and the remainder investigated structured exercise. Most interventions (86%) were more costly but more effective, and the remaining were cost-saving compared to no intervention., Conclusions: There is a scarcity of reviews investigating the value for money of physical activity interventions for older adults. Most studies investigated structured exercise. Physical activity interventions were generally more effective than no intervention but more costly. As such an intervention could be cost-effective and therefore worthy of wider implementation, but there is a need for more frequent economic evaluation in this field., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objectives: To summarise evidence of benefits of sport for health among people aged 60+., Design: Systematic review with meta-analysis of randomised controlled trials (RCTs)., Data Sources: Medline, CINAHL, SPORTDiscus, the Physiotherapy Evidence Database from inception to April 2021., Study Selection: RCTs investigating the effect of sport on health-related outcomes in people aged 60+ compared with non-active control., Data Synthesis and Analysis: Pooled effect sizes were calculated using random-effect models. Standardised mean differences (SMD), and mean difference (MD) were calculated. The Grading of Recommendations Assessment, Development and Evaluation system was used to assess the certainty of the evidence for analyses with ≥3 studies., Results: Nine trials (628 participants) reported in 15 articles were included. Participation in sport improved cardiorespiratory fitness (n=5 trials; SMD=0.43, 95% CI 0.17 to 0.70; low certainty evidence), physical function (n=4; SMD=0.62, 95% CI 0.05 to 1.18; very low certainty evidence), and mental health (n=2; SMD=0.28, 95% CI 0.06 to 0.51) and reduced fat mass (n=6; MD=-0.99 kg, 95% CI -1.75kg to -0.23 kg; low certainty evidence) among older people. We found no significant effects of sport on overall physical activity participation, strength, balance, lean mass and bone mineral density (BMD). One study investigating quality of life reported a positive, but non-significant effect of sport., Conclusion: Sport may have a positive impact on health outcomes in people aged 60+. There was uncertainty on the effect of sport on strength, balance, lean mass and BMD. Further research is needed to investigate the optimal type and dose of sport to maximise the long-term benefits among older people., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: To investigate cost-effectiveness and costs of fall prevention exercise programmes for older adults., Design: Systematic review., Data Sources: Medline, Embase, Web of Science, Scopus, National Institute for Health Research Economic Evaluation Database, Health Technology Assessment database, Tufts Cost-Effectiveness Analysis Registry, Research Papers in Economics and EconLit (inception to May 2022)., Eligibility Criteria for Study Selection: Economic evaluations (trial-based or model-based) and costing studies investigating fall prevention exercise programmes versus no intervention or usual care for older adults living in the community or care facilities, and reporting incremental cost-effectiveness ratio (ICER) for fall-related outcomes or quality-adjusted life years (QALY, expressed as cost/QALY) and/or intervention costs., Results: 31 studies were included. For community-dwelling older adults (21 economic evaluations, 6 costing studies), results ranged from more effective and less costly (dominant) interventions up to an ICER of US$279 802/QALY gained and US$11 986/fall prevented (US$ in 2020). Assuming an arbitrary willingness-to-pay threshold (US$100 000/QALY), most results (17/24) were considered cost-effective (moderate certainty). The greatest value for money (lower ICER/QALY gained and fall prevented) appeared to accrue for older adults and those with high fall risk, but unsupervised exercise appeared to offer poor value for money (higher ICER/QALY). For care facilities (two economic evaluations, two costing studies), ICERs ranged from dominant (low certainty) to US$35/fall prevented (moderate certainty). Overall, intervention costs varied and were poorly reported., Conclusions: Most economic evaluations investigated fall prevention exercise programmes for older adults living in the community. There is moderate certainty evidence that fall prevention exercise programmes are likely to be cost-effective. The evidence for older adults living in care facilities is more limited but promising., Prospero Registration Number: PROSPERO 2020 CRD42020178023., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: The Active Women over 50 trial tested a scalable program for increasing physical activity among women aged 50+. The program included information, activity tracker and email support. This study sought to describe the participant perspectives of the Active Women over 50 program and considerations for designing physical activity interventions for this demographic., Methods: Women who completed the Active Women over 50 trial were purposively recruited for maximum variation in age, employment, carer responsibility, medical conditions and physical activity. Individual semi-structured interviews explored their perspectives on physical activity, Active Women over 50 program components and suggestions for future iterations. Data were thematically analysed., Results: Participants' capacity to be physically active was shaped by an interplay of factors. Our analysis generated four main themes relating to physical activity in general and to the program: Age and gender matters, Physical activity is social, Strategising for physical activity and the Self-responsibility discourse. At this midlife stage, physical activity participation was challenged by personal, life-stage and cultural factors, alongside a tension of the self-responsibility discourse which also impacted the program experience. Social factors and finding a suitable strategy for motivation were deemed integral aspects of being active. Future programs could consider facilitation of social networks and accountability, life-stage health information and positive framing to support self-responsibility., Conclusion: A range of strategies is key to supporting women over 50 to be more physically active due to the variety of circumstances and levels of agency experienced. We offer suggestions that do not need to be resource intensive but could be incorporated into a scaled program., (© 2022. The Author(s).)

Background: Physical activity mass media campaigns can deliver physical activity messages to many people, but it remains unclear whether they offer good value for money. We aimed to investigate the cost-effectiveness, cost-utility, and costs of physical activity mass media campaigns., Methods: A search for economic evaluations (trial- or model-based) and costing studies of physical activity mass media campaigns was performed in six electronic databases (June/2021). The authors reviewed studies independently. A GRADE style rating was used to assess the overall certainty of each modelled economic evaluation. Results were summarised via narrative synthesis., Results: Twenty-five studies (five model-based economic evaluations and 20 costing studies) were included, and all were conducted in high-income countries except for one costing study that was conducted in a middle-income country. The methods and assumptions used in the model-based analyses were highly heterogeneous and the results varied, ranging from the intervention being more effective and less costly (dominant) in two models to an incremental cost of US$130,740 (2020 base year) per QALY gained. The level of certainty of the models ranged from very low (n = 2) to low (n = 3). Overall, intervention costs were poorly reported., Conclusions: There are few economic evaluations of physical activity mass media campaigns available. The level of certainty of the models was judged to be very low to low, indicating that we have very little to little confidence that the results are reliable for decision making. Therefore, it remains unclear to what extent physical activity mass media campaigns offer good value for money. Future economic evaluations should consider selecting appropriate and comprehensive measures of campaign effectiveness, clearly report the assumptions of the models and fully explore the impact of assumptions in the results., Review Registration: https://bit.ly/3tKSBZ3., (© 2022. The Author(s).)

Background: Eccentric exercise is thought to improve joint flexibility, but the size of the effect is not known. We aimed to quantify the overall effect of eccentric exercise on joint flexibility in adults., Design: Systematic review, meta-analysis., Data Sources: AMED, CINAHL, MEDLINE, EMBASE, SportDiscus., Participants: Adults., Intervention: Eccentric exercise compared to no intervention or to a different intervention., Outcome Measures: Joint range of motion or muscle fascicle length., Data Extraction and Synthesis: Descriptive data of included trials and estimates of effect sizes were extracted. Standardised mean differences (SMD) of range of motion or fascicle length outcomes were meta-analysed using random effects models. Overall quality of evidence was assessed using the GRADE scale., Results: 32 trials (1122 participants, 108 lost to follow-up) were included in the systematic review. The mean (SD) PEDro score was 5.2 (1.3). Four trials reported insufficient data for meta-analysis. Data from 27 trials (911 participants, 82 lost to follow-up) were meta-analysed. Eccentric exercise improved joint flexibility in adults (pooled random effects Hedges' g SMD = 0.54, 95% CI 0.34 to 0.74). The true effect size is different across studies and 50% of the variance in observed effects is estimated to reflect variance in true effects rather than sampling error (I 2  = 50%, Q = 67.6, d.f. = 34, p = 0.001). Overall quality of evidence ranged from 'low' to 'high'., Conclusion: Eccentric exercise improves joint flexibility in adults. The overall standardised mean effect of eccentric exercise was moderately large, and the narrow width of the 95% confidence interval indicates the effect was estimated with good precision., Registration: Open Science Foundation (https://osf.io/mkdqr); PROSPERO registration CRD42020151303., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Background: Knowledge of which physical activity programs are most effective for older adults in different sub-populations and contexts is limited. The objectives of this rapid review were to: 1) Overview evidence evaluating physical activity programs/services for older adults; and 2) Describe impact on physical activity, falls, intrinsic capacity (physical domain), functional ability (physical, social, and cognitive/emotional domains), and quality of life., Methods: We conducted a rapid review of primary studies from 350 systematic reviews identified in a previous scoping review (March 2021: PEDro, MEDLINE, CINAHL, Cochrane Database). For Objective 1, we included intervention studies investigating physical activity programs/services in adults ≥ 60 years. Of these, we included good quality (≥ 6/10 PEDro scale) randomised controlled trials (RCTs) with ≥ 50 participants per group in Objective 2., Results: Objective 1: Of the 1421 intervention studies identified from 8267 records, 79% were RCTs, 87% were in high income countries and 39% were good quality. Objective 2: We identified 87 large, good quality RCTs (26,861 participants). Overall activity promotion, structured exercise and recreation/sport had positive impacts (≥ 50% between-group comparisons positive) across all outcome domains. For overall activity promotion (21 intervention groups), greatest impacts were on physical activity (100% positive) and social outcomes (83% positive). Structured exercise (61 intervention groups) had particularly strong impacts on falls (91% positive), intrinsic capacity (67% positive) and physical functioning (77% positive). Recreation/sport (24 intervention groups) had particularly strong impacts on cognitive/emotional functioning (88% positive). Multicomponent exercise (39 intervention groups) had strong impacts across all outcomes, particularly physical activity (95% positive), falls (90% positive) and physical functioning (81% positive). Results for different populations and settings are presented., Conclusion: Evidence supporting physical activity for older adults is positive. We outline which activity types are most effective in different populations and settings., (© 2022. The Author(s).)

Regular physical activity benefits health across the lifespan. Women in middle-age often juggle carer and work responsibilities, are often inactive, and may benefit from tailored support to increase physical activity. Establish the acceptability, feasibility, and impact on physical activity of a scalable program for women 50+ years. This pilot trial randomized participants to immediate program access, or to a wait-list control. [Active Women over 50 Online] program included: (1) study-specific website, (2) 8 emails or 24 SMS motivation-based messages, (3) one telephone health-coaching session. Outcomes, at 3 months, were acceptability (recommend study participation, intervention uptake), feasibility (recruitment, reach, completion), intervention impact (physical activity), intervention impressions. At baseline, 62 participants of mean (SD) age 59 (±7) years took 7459 (±2424) steps/day and most (92%) reported ≥2 medical conditions. At 3 months, acceptability and impact data were available for 52 (84%) and 57 (92%) participants, respectively. Study participation was recommended by 83% of participants. Participants mostly agreed to receive health coaching (81%) and messages (87%: email = 56%, SMS = 44%), opened 82% of emails and accessed the website 4.8 times on average. Respondents reported the intervention supported their physical activity. Intervention participants were more likely to increase steps from baseline by 2000+/day (OR: 6.31, 95% CI: 1.22 to 32.70, p = .028) than controls, and trended toward more light-intensity (p = .075) and moderate-vigorous intensity physical activity (p = .11). The [Active Women over 50 Online] program demonstrated acceptability and feasibility among the target population, and effectiveness in some domains in the short term. Results warrant further testing in a full-scale RCT., (© Society of Behavioral Medicine 2022. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: This study aims to test the effect of an information and support intervention on physical activity (PA) in women aged 50+ years., Design: Randomized wait-list controlled trial., Setting: Sydney, Australia., Sample: 126 female university and health service employees, aged 50+., Intervention: Information session, activity tracker, regular motivational emails., Measures: Proportion achieving ≥ 10,000 steps/day (primary outcome), daily step count, proportion meeting 150 mins/week of moderate to vigorous PA (MVPA), self-reported PA., Analysis: Odds-ratios and general linear regression models., Results: At 3 months, the intervention group reported significantly more vigorous PA (1.04 hours, 95% CI 0.24 to 1.85, P = .01, measured by IPAQ ), were more likely to achieve 300 mins/week of MVPA (OR = 1.98, 95% CI 0.89 to 4.36, P = .09, measured by Actigraph ) than the control wait-list group, and reported adopting PA promotion strategies (technology = 31/58% or goal-setting = 39/74%). No significant between-group differences in the primary outcome were detected (1.39, 95% CI 0.61 to 3.18, P = .44)., Conclusions: This low-dose intervention significantly increased self-reported vigorous PA time and non-significantly increased the proportion of people achieving 300 mins/week of MVPA but did not significantly increase the proportion of participants achieving 10,000 steps/day. Relatively small effects may be important at a population level given the minimal resources needed to deliver this intervention.

Background: There is currently little evidence of planning for real-world implementation of physical activity interventions. We are undertaking the ComeBACK (Coaching and Exercise for Better Walking) study, a 3-arm hybrid Type 1 randomised controlled trial evaluating a health coaching intervention and a text messaging intervention. We used an implementation planning framework, the PRACTical planning for Implementation and Scale-up (PRACTIS), to guide the process evaluation for the trial. The aim of this paper is to describe the protocol for the process evaluation of the ComeBACK trial using the framework of the PRACTIS guide., Methods: A mixed methods process evaluation protocol was developed informed by the Medical Research Council (MRC) guidance on process evaluations for complex interventions and the PRACTIS guide. Quantitative data, including participant questionnaires, health coach and administrative logbooks, and website and text message usage data, is being collected over the trial period. Semi-structured interviews and focus groups with trial participants, health coaches and health service stakeholders will explore expectations, factors influencing the delivery of the ComeBACK interventions and potential scalability within existing health services. These data will be mapped against the steps of the PRACTIS guide, with reporting at the level of the individual, provider, organisational and community/systems. Quantitative and qualitative data will elicit potential contextual barriers and facilitators to implementation and scale-up. Quantitative data will be reported descriptively, and qualitative data analysed thematically., Discussion: This process evaluation integrates an evaluation of prospective implementation and scale-up. It is envisaged this will inform barriers and enablers to future delivery, implementation and scale-up of physical activity interventions. To our knowledge, this is the first paper to describe the application of PRACTIS to guide the process evaluation of physical activity interventions., Trial Registration: Australian and New Zealand Clinical Trials Registry ( ANZCTR ) Registration date: 10/12/2018., (© 2022. The Author(s).)

Background: To inform implementation and future research, this scoping review investigates the volume of evidence for physical activity interventions among adults aged 60+. Our research questions are: (1) what is the evidence regarding interventions designed to increase total physical activity in adults aged 60+ years, in accordance with three of the four strategic objectives of GAPPA (active societies, active environments, active people); (2) what is the current evidence regarding the effectiveness of physical activity programmes and services designed for older adults?; and (3) What are the evidence gaps requiring further research?, Methods: We searched PEDro, MEDLINE, CINAHL and Cochrane from 1 January 2010 to 1 November 2020 for systematic reviews and meta-analyses of physical activity interventions in adults aged 60+. We identified interventions designed to: (1) increase physical activity; and (2) deliver physical activity programmes and services in home, community or outpatient settings. We extracted and coded data from eligible reviews according to our proposed framework informed by TIDieR, Prevention of Falls Network Europe (PROFANE), and WHO's International Classification of Functioning, Disability and Health (ICF). We classified the overall findings as positive, negative or inconclusive., Results: We identified 39 reviews of interventions to increase physical activity and 342 reviews of programmes/services for older adults. Interventions were predominantly structured exercise programmes, including balance strength/resistance training, and physical recreation, such as yoga and tai chi. There were few reviews of health promotion/coaching and health professional education/referral, and none of sport, workplace, sociocultural or environmental interventions. Fewer reported outcomes of total physical activity, social participation and quality of life/well-being. We noted insufficient coverage in diverse and disadvantaged samples and low-middle income countries., Conclusions: There is a modest but growing volume of evidence regarding interventions designed to increase total physical activity in older adults, although more interventional studies with long term follow-up are needed, particularly for GAPPA 1. Active Societies and GAPPA 2. Active Environments. By comparison, there is abundant evidence for GAPPA 3. specific programmes and services, but coverage of sport and workplace interventions, and diverse samples and settings is lacking. Comprehensive reviews of individual studies are now needed as well as research targeting neglected outcomes, populations and settings.

Physical activity counselling has demonstrated effectiveness at increasing physical activity when delivered in healthcare, but is not routinely practised. This study aimed to determine (1) current use of physical activity counselling by physiotherapists working within publicly funded hospitals; and (2) influences on this behaviour. A cross-sectional survey of physiotherapists was conducted across five hospitals within a local health district in Sydney, Australia. The survey investigated physiotherapists' frequency of incorporating 15 different elements of physical activity counselling into their usual healthcare interactions, and 53 potential influences on their behaviour framed by the COM-B (Capability, Opportunity, Motivation-Behaviour) model. The sample comprised 84 physiotherapists (79% female, 48% <5 years of experience). Physiotherapists reported using on average five (SD:3) elements of physical activity counselling with at least 50% of their patients who could be more active. A total of 70% of physiotherapists raised or discussed overall physical activity, but less than 10% measured physical activity or contacted community physical activity providers. Physiotherapists reported on average 25 (SD:9) barriers influencing their use of physical activity counselling. The most common barriers were related to "opportunity", with 57% indicating difficulty locating suitable community physical activity opportunities and >90% indicating their patients lacked financial and transport opportunities. These findings confirm that physical activity counselling is not routinely incorporated in physiotherapy practice and help to identify implementation strategies to build clinicians' opportunities and capabilities to deliver physical activity counselling.

Recently revised public health guidelines acknowledge the health benefits of regular intermittent bouts of vigorous intensity incidental physical activity done as part of daily living, such as carrying shopping bags, walking uphill, and stair climbing. Despite this recognition and the advantages such lifestyle physical activity has over continuous vigorous intensity structured exercise, a scoping review we conducted revealed that current research in this area is, at best, rudimentary. Key gaps include the absence of an empirically-derived dose specification (e.g., minimum duration of lifestyle physical activity required to achieve absolute or relative vigorous intensity), lack of acceptable measurement standards, limited understanding of acute and chronic (adaptive) effects of intermittent vigorous bouts on health, and paucity of essential information necessary to develop feasible and scalable interventions (e.g., acceptability of this kind of physical activity by the public). To encourage collaboration and research agenda alignment among groups interested in this field, we propose a research framework to further understanding of vigorous intermittent lifestyle physical activity (VILPA). This framework comprises four pillars aimed at the development of: (a) an empirical definition of VILPA, (b) methods to reliably and accurately measure VILPA, (c) approaches to examine the short and long-term dose-response effects of VILPA, and (d) scalable and acceptable behavioural VILPA-promoting interventions.

Background: Various physical activity interventions for prevention and treatment of osteoporosis have been designed and evaluated, but the effect of such interventions on the prevention of osteoporosis in older people is unclear. The aim of this review was to investigate the association between physical activity and osteoporosis prevention in people aged 65 years and above., Methods: A systematic review was conducted and searches for individual studies were conducted in PubMed (January 2010 to March 2020) and for systematic reviews were conducted in PubMed, Embase, CINAHL and SPORTDiscus (January 2008 to July 2020). Records were screened according to the following eligibility criteria: i) population: adults aged 65 years and older; ii) exposure: greater volume, duration, frequency, or intensity of physical activity; iii) comparison: no physical activity or lesser volume, duration, frequency, or intensity of physical activity; iv) outcome: osteoporosis related measures (e.g., bone mineral density). The methodological quality of included studies was assessed and meta-analysis summarised study effects. The GRADE approach was used to rate certainty of evidence., Results: We included a total of 59 studies, including 12 observational studies and 47 trials. Within the included trials, 40 compared physical activity with no intervention controls, 11 compared two physical activity programs, and six investigated different doses of physical activity. Included studies suggest that physical activity interventions probably improve bone health among older adults and thus prevent osteoporosis (standardised effect size 0.15, 95% CI 0.05 to 0.25, 20 trials, moderate-certainty evidence, main or most relevant outcome selected for each of the included studies). Physical activity interventions probably improve lumbar spine bone mineral density (standardised effect size 0.17, 95% CI 0.04 to 0.30, 11 trials, moderate-certainty evidence) and may improve hip (femoral neck) bone mineral density (standardised effect size 0.09, 95% CI - 0.03 to 0.21, 14 trials, low-certainty evidence). Higher doses of physical activity and programs involving multiple exercise types or resistance exercise appear to be most effective. Typical programs for which significant intervention impacts were detected in trials were undertaken for 60+ mins, 2-3 times/week for 7+ months. Observational studies suggested a positive association between long-term total and planned physical activity on bone health., Conclusions: Physical activity probably plays a role in the prevention of osteoporosis. The level of evidence is higher for effects of physical activity on lumbar spine bone mineral density than for hip. Higher dose programs and those involving multiple exercises and resistance exercises appear to be more effective.

Background and Objectives: Frequent participation in physical activity (PA) has benefits across the lifespan but is particularly important for older adults. PA levels are either measured by objective or self-reported survey methods. Objective PA measurement is used to increase accuracy. This systematic review investigated the effect of physical activity-based interventions on objectively measured PA levels among community-dwelling adults aged 60 years and older., Research Design and Methods: Literature searches were conducted in five electronic databases and four clinical trial registries. Randomized controlled trials investigating the effect of physical activity-based interventions on objectively measured PA levels (e.g., accelerometers or pedometers) in community-dwelling adults aged 60 years and older compared with no/minimal intervention were considered eligible. Data were pooled using the most conservative estimates reported from each study using the standardized mean difference (SMD). Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to evaluate the overall quality of the evidence., Results: Fourteen published trials and 3 ongoing trials were identified. There were significant effects favoring physical activity-based interventions compared with minimal intervention at short-term (less than or equal to 3 months) (SMD: 0.30, 95% CI: 0.17 to 0.43) and intermediate-term (more than 3 months and less than 12 months; SMD: 0.27, 95% CI: 0.06 to 0.49) follow-ups. The quality of evidence was moderate according to GRADE (downgraded for risk of bias)., Discussion and Implications: Our findings suggest that physical activity-based interventions may increase objectively measured PA levels in community-dwelling older adults. Further studies are still needed to identify the optimal dose, intensity, and mode of delivery of physical activity-based interventions., (© The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Mobility limitation is common and often results from neurological and musculoskeletal health conditions, ageing and/or physical inactivity. In consultation with consumers, clinicians and policymakers, we have developed two affordable and scalable intervention packages designed to enhance physical activity for adults with self-reported mobility limitations. Both are based on behaviour change theories and involve tailored advice from physiotherapists., Methods and Analysis: This pragmatic hybrid effectiveness-implementation type 1 randomised control trial (n=600) will be undertaken among adults with self-reported mobility limitations. It aims to estimate the effects on physical activity of: (1) an enhanced 6-month intervention package (one face-to-face physiotherapy assessment, tailored physical activity plan, physical activity phone coaching from a physiotherapist, informational/motivational resources and activity monitors) compared with a less intensive 6-month intervention package (single session of tailored phone advice from a physiotherapist, tailored physical activity plan, unidirectional text messages, informational/motivational resources); (2) the enhanced intervention package compared with no intervention (6-month waiting list control group); and (3) the less intensive intervention package compared with no intervention (waiting list control group). The primary outcome will be average steps per day, measured with the StepWatch Activity Monitor over a 1-week period, 6 months after randomisation. Secondary outcomes include other physical activity measures, measures of health and functioning, individualised mobility goal attainment, mental well-being, quality of life, rate of falls, health utilisation and intervention evaluation. The hybrid effectiveness-implementation design (type 1) will be used to enable the collection of secondary implementation outcomes at the same time as the primary effectiveness outcome. An economic analysis will estimate the cost-effectiveness and cost-utility of the interventions compared with no intervention and to each other., Ethics and Dissemination: Ethical approval has been obtained by Sydney Local Health District, Royal Prince Alfred Zone. Dissemination will be via publications, conferences, newsletters, talks and meetings with health managers., Trial Registration Number: ACTRN12618001983291., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Older people are at high risk of physical inactivity. Activity trackers can facilitate physical activity. We aimed to investigate the effect of interventions using activity trackers on physical activity, mobility, quality of life and mental health among people aged 60+ years., Methods: For this systematic review, we searched eight databases, including MEDLINE, Embase and CENTRAL from inception to April 2018. Randomised controlled trials of interventions that used activity trackers to promote physical activity among people aged 60+ years were included in the analyses. The study protocol was registered with PROSPERO, number CRD42017065250., Results: We identified 23 eligible trials. Interventions using activity trackers had a moderate effect on physical activity (23 studies; standardised mean difference (SMD)=0.55; 95% CI 0.40 to 0.70; I 2 =86%) and increased steps/day by 1558 (95% CI 1099 to 2018 steps/day; I 2 =92%) compared with usual care, no intervention and wait-list control. Longer duration activity tracker-based interventions were more effective than short duration interventions (18 studies, SMD=0.70; 95% CI 0.47 to 0.93 vs 5 studies, SMD=0.14; 95% CI -0.26 to 0.54, p for comparison=0.02). Interventions that used activity trackers improved mobility (three studies; SMD=0.61; 95% CI 0.31 to 0.90; I 2 =10%), but not quality of life (nine studies; SMD=0.09; 95% CI -0.07 to 0.25; I 2 =45%). Only one trial included mental health outcomes and it reported similar effects of the activity tracker intervention compared with control., Conclusions: Interventions using activity trackers improve physical activity levels and mobility among older people compared with control. However, the impact of activity tracker interventions on quality of life, and mental health is unknown., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: To assess the effects of exercise interventions for preventing falls in older people living in the community., Selection Criteria: We included randomised controlled trials evaluating the effects of any form of exercise as a single intervention on falls in people aged 60+years living in the community., Results: Exercise reduces the rate of falls by 23% (rate ratio (RaR) 0.77, 95% CI 0.71 to 0.83; 12 981 participants, 59 studies; high-certainty evidence). Subgroup analyses showed no evidence of a difference in effect on falls on the basis of risk of falling as a trial inclusion criterion, participant age 75 years+ or group versus individual exercise but revealed a larger effect of exercise in trials where interventions were delivered by a health professional (usually a physiotherapist). Different forms of exercise had different impacts on falls. Compared with control, balance and functional exercises reduce the rate of falls by 24% (RaR 0.76, 95% CI 0.70 to 0.81; 7920 participants, 39 studies; high-certainty evidence). Multiple types of exercise (commonly balance and functional exercises plus resistance exercises) probably reduce the rate of falls by 34% (RaR 0.66, 95% CI 0.50 to 0.88; 1374 participants, 11 studies; moderate-certainty evidence). Tai Chi may reduce the rate of falls by 19% (RaR 0.81, 95% CI 0.67 to 0.99; 2655 participants, 7 studies; low-certainty evidence). We are uncertain of the effects of programmes that primarily involve resistance training, dance or walking., Conclusions and Implications: Given the certainty of evidence, effective programmes should now be implemented., Competing Interests: Competing interests: Several authors (CS, AT, SH, KH and SL) are currently running trials of fall prevention interventions; including the following ongoing trials in this review (ACTRN 12615000138583; ACTRN 12615000865516; ISRCTN71002650). These trials are all funded by national grant agencies. No review author was involved in study selection or processing of any trials in which they were or are involved. CS is an author of several trials considered in this review, including four included trials.21 22 23 24 25 NF has no known conflicts of interest. GW has no known conflicts of interest. AT has no known conflicts of interest. ZAM has no known conflicts of interest. KH is an author of several trials considered in this review, including one included trial.22 LC is an author of several trials considered in this review, including two included trials.26 27 SH has no known conflicts of interest. SL is lead author of the ProFaNE consensus for falls guidance and is an author of one of the trials considered in this review., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Digitally enabled rehabilitation may lead to better outcomes but has not been tested in large pragmatic trials. We aimed to evaluate a tailored prescription of affordable digital devices in addition to usual care for people with mobility limitations admitted to aged care and neurological rehabilitation., Methods and Findings: We conducted a pragmatic, outcome-assessor-blinded, parallel-group randomised trial in 3 Australian hospitals in Sydney and Adelaide recruiting adults 18 to 101 years old with mobility limitations undertaking aged care and neurological inpatient rehabilitation. Both the intervention and control groups received usual multidisciplinary inpatient and post-hospital rehabilitation care as determined by the treating rehabilitation clinicians. In addition to usual care, the intervention group used devices to target mobility and physical activity problems, individually prescribed by a physiotherapist according to an intervention protocol, including virtual reality video games, activity monitors, and handheld computer devices for 6 months in hospital and at home. Co-primary outcomes were mobility (performance-based Short Physical Performance Battery [SPPB]; continuous version; range 0 to 3; higher score indicates better mobility) and upright time as a proxy measure of physical activity (proportion of the day upright measured with activPAL) at 6 months. The dataset was analysed using intention-to-treat principles. The trial was prospectively registered with the Australian New Zealand Clinical Trials Registry (ACTRN12614000936628). Between 22 September 2014 and 10 November 2016, 300 patients (mean age 74 years, SD 14; 50% female; 54% neurological condition causing activity limitation) were randomly assigned to intervention (n = 149) or control (n = 151) using a secure online database (REDCap) to achieve allocation concealment. Six-month assessments were completed by 258 participants (129 intervention, 129 control). Intervention participants received on average 12 (SD 11) supervised inpatient sessions using 4 (SD 1) different devices and 15 (SD 5) physiotherapy contacts supporting device use after hospital discharge. Changes in mobility scores were higher in the intervention group compared to the control group from baseline (SPPB [continuous, 0-3] mean [SD]: intervention group, 1.5 [0.7]; control group, 1.5 [0.8]) to 6 months (SPPB [continuous, 0-3] mean [SD]: intervention group, 2.3 [0.6]; control group, 2.1 [0.8]; mean between-group difference 0.2 points, 95% CI 0.1 to 0.3; p = 0.006). However, there was no evidence of a difference between groups for upright time at 6 months (mean [SD] proportion of the day spent upright at 6 months: intervention group, 18.2 [9.8]; control group, 18.4 [10.2]; mean between-group difference -0.2, 95% CI -2.7 to 2.3; p = 0.87). Scores were higher in the intervention group compared to the control group across most secondary mobility outcomes, but there was no evidence of a difference between groups for most other secondary outcomes including self-reported balance confidence and quality of life. No adverse events were reported in the intervention group. Thirteen participants died while in the trial (intervention group: 9; control group: 4) due to unrelated causes, and there was no evidence of a difference between groups in fall rates (unadjusted incidence rate ratio 1.19, 95% CI 0.78 to 1.83; p = 0.43). Study limitations include 15%-19% loss to follow-up at 6 months on the co-primary outcomes, as anticipated; the number of secondary outcome measures in our trial, which may increase the risk of a type I error; and potential low statistical power to demonstrate significant between-group differences on important secondary patient-reported outcomes., Conclusions: In this study, we observed improved mobility in people with a wide range of health conditions making use of digitally enabled rehabilitation, whereas time spent upright was not impacted., Trial Registration: The trial was prospectively registered with the Australian New Zealand Clinical Trials Register; ACTRN12614000936628., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: MH is in receipt of a National Health and Medical Research Council of Australia Career Development Fellowship Level 2, APP1141328.

Background: The Cochrane risk of bias (CROB) tool and Physiotherapy Evidence Database (PEDro) scale are used to evaluate risk of bias of randomized controlled trials. We assessed the level of agreement between the instruments., Methods: We searched the Cochrane Library to identify trials included in systematic reviews evaluating physical therapy interventions. For trials that met our inclusion criteria (primary reference in Cochrane review, review used CROB (2008 version), indexed in PEDro), CROB items were extracted from the reviews and PEDro items and total score were downloaded from PEDro. Kappa statistics were used to determine the agreement between CROB and PEDro scale items that evaluate similar constructs (e.g., randomization). The total PEDro score was compared to the CROB summary score (% of items met) using an Intraclass Correlation Coefficient. Sensitivity analyses explored the impact of the CROB "unclear" category and variants of CROB blinding items. Kappa statistics were used to determine agreement between different thresholds for "acceptable" risk of bias between CROB and PEDro scale summary scores., Results: We included 1442 trials from 108 Cochrane reviews. Agreement was "moderate" for three of the six CROB and PEDro scale items that evaluate similar constructs (allocation concealment, participant blinding, assessor blinding; Kappa = 0.479-0.582). Agreement between the summary scores was "poor" (Intraclass Correlation Coefficient = 0.285). Agreement was highest when the CROB "unclear" category was collapsed with "high" and when participant, personnel and assessor blinding were evaluated separately in CROB. Agreement for different thresholds for "acceptable" risk of bias between CROB and PEDro summary scores was, at best, "fair"., Conclusion: There was moderate agreement for half of the PEDro and CROB items that evaluate similar constructs. Interpretation of the CROB "unclear" category and variants of the CROB blinding items substantially influenced agreement. Either instrument can be used to quantify risk of bias, but they can't be used interchangeably., Competing Interests: Two authors (AMM and CS) are developers of the Physiotherapy Evidence Database. Six authors (AMM, PR, GAW, CS, LB, KT-A) have contributed to nearly 50 Cochrane reviews. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Background: There is compelling evidence that physical activity has many physical and mental health benefits and can delay the development of disability in older age. However, uptake of this health behaviour is sub-optimal in working women in their middle age. This trial aims to establish the impact of a low-dose information program, incorporating follow-up support using behaviour change techniques, compared with a wait-list control group, on physical activity among women aged 50+ years., Methods: 100 female university or health service employees aged 50 years and over who are not sufficiently active according to national guidelines will be recruited and randomised to: [1] attend one information session at the worksite with follow-up email support and provision of resources including use of an activity tracker (Fitbit) for 3 months and free trial class at the university sports facility, or [2] a wait-list control to receive the intervention after the 3-month follow-up period. The primary outcome will be the proportion of people achieving 10,000 steps/day at 3 months post randomisation. Secondary outcomes will include the proportion of people achieving national guideline-recommended physical activity levels, the average self-reported hours of physical activity per week, perceived benefits of and barriers to exercise participation, physical functioning, and mood. Analyses will be planned, conducted while masked to group allocation and will use an intention-to-treat approach., Discussion: This randomised controlled trial will evaluate the impact of a simple intervention using behaviour change techniques to increase physical activity participation in insufficiently active working women over the age of 50., Trial Registration: ACTRN12617000485336 , prospectively registered, approved 04/04/2017.

To document the characteristics of participants aged 50 years and older in a local government group exercise program ( Strong Seniors ), to investigate the motivators and barriers to ongoing exercise, and to identify factors associated with more frequent exercise class attendance. Ninety-three participants completed a survey about exercise class attendance, motivators and barriers to participation, and exercise perceptions and self-reported exercise. The authors conducted a mixed-methods study involving both quantitative and qualitative analyses. Personal benefits of exercise and social influences were the most common motivators for regular exercise. Barriers to participation included health problems and lack of time (competing priorities). A higher score on the perceived exercise benefits scale is the only factor associated with a higher frequency of attendance at Strong Seniors classes. Exercise programs for people aged 50 years and older that emphasize associated health benefits and promote social support may be more likely to facilitate long-term attendance.

Background: At least one-third of community-dwelling people over 65 years of age fall each year. Exercises that target balance, gait and muscle strength have been found to prevent falls in these people. An up-to-date synthesis of the evidence is important given the major long-term consequences associated with falls and fall-related injuries OBJECTIVES: To assess the effects (benefits and harms) of exercise interventions for preventing falls in older people living in the community., Search Methods: We searched CENTRAL, MEDLINE, Embase, three other databases and two trial registers up to 2 May 2018, together with reference checking and contact with study authors to identify additional studies., Selection Criteria: We included randomised controlled trials (RCTs) evaluating the effects of any form of exercise as a single intervention on falls in people aged 60+ years living in the community. We excluded trials focused on particular conditions, such as stroke., Data Collection and Analysis: We used standard methodological procedures expected by Cochrane. Our primary outcome was rate of falls., Main Results: We included 108 RCTs with 23,407 participants living in the community in 25 countries. There were nine cluster-RCTs. On average, participants were 76 years old and 77% were women. Most trials had unclear or high risk of bias for one or more items. Results from four trials focusing on people who had been recently discharged from hospital and from comparisons of different exercises are not described here.Exercise (all types) versus control Eighty-one trials (19,684 participants) compared exercise (all types) with control intervention (one not thought to reduce falls). Exercise reduces the rate of falls by 23% (rate ratio (RaR) 0.77, 95% confidence interval (CI) 0.71 to 0.83; 12,981 participants, 59 studies; high-certainty evidence). Based on an illustrative risk of 850 falls in 1000 people followed over one year (data based on control group risk data from the 59 studies), this equates to 195 (95% CI 144 to 246) fewer falls in the exercise group. Exercise also reduces the number of people experiencing one or more falls by 15% (risk ratio (RR) 0.85, 95% CI 0.81 to 0.89; 13,518 participants, 63 studies; high-certainty evidence). Based on an illustrative risk of 480 fallers in 1000 people followed over one year (data based on control group risk data from the 63 studies), this equates to 72 (95% CI 52 to 91) fewer fallers in the exercise group. Subgroup analyses showed no evidence of a difference in effect on both falls outcomes according to whether trials selected participants at increased risk of falling or not.The findings for other outcomes are less certain, reflecting in part the relatively low number of studies and participants. Exercise may reduce the number of people experiencing one or more fall-related fractures (RR 0.73, 95% CI 0.56 to 0.95; 4047 participants, 10 studies; low-certainty evidence) and the number of people experiencing one or more falls requiring medical attention (RR 0.61, 95% CI 0.47 to 0.79; 1019 participants, 5 studies; low-certainty evidence). The effect of exercise on the number of people who experience one or more falls requiring hospital admission is unclear (RR 0.78, 95% CI 0.51 to 1.18; 1705 participants, 2 studies, very low-certainty evidence). Exercise may make little important difference to health-related quality of life: conversion of the pooled result (standardised mean difference (SMD) -0.03, 95% CI -0.10 to 0.04; 3172 participants, 15 studies; low-certainty evidence) to the EQ-5D and SF-36 scores showed the respective 95% CIs were much smaller than minimally important differences for both scales.Adverse events were reported to some degree in 27 trials (6019 participants) but were monitored closely in both exercise and control groups in only one trial. Fourteen trials reported no adverse events. Aside from two serious adverse events (one pelvic stress fracture and one inguinal hernia surgery) reported in one trial, the remainder were non-serious adverse events, primarily of a musculoskeletal nature. There was a median of three events (range 1 to 26) in the exercise groups.Different exercise types versus controlDifferent forms of exercise had different impacts on falls (test for subgroup differences, rate of falls: P = 0.004, I² = 71%). Compared with control, balance and functional exercises reduce the rate of falls by 24% (RaR 0.76, 95% CI 0.70 to 0.81; 7920 participants, 39 studies; high-certainty evidence) and the number of people experiencing one or more falls by 13% (RR 0.87, 95% CI 0.82 to 0.91; 8288 participants, 37 studies; high-certainty evidence). Multiple types of exercise (most commonly balance and functional exercises plus resistance exercises) probably reduce the rate of falls by 34% (RaR 0.66, 95% CI 0.50 to 0.88; 1374 participants, 11 studies; moderate-certainty evidence) and the number of people experiencing one or more falls by 22% (RR 0.78, 95% CI 0.64 to 0.96; 1623 participants, 17 studies; moderate-certainty evidence). Tai Chi may reduce the rate of falls by 19% (RaR 0.81, 95% CI 0.67 to 0.99; 2655 participants, 7 studies; low-certainty evidence) as well as reducing the number of people who experience falls by 20% (RR 0.80, 95% CI 0.70 to 0.91; 2677 participants, 8 studies; high-certainty evidence). We are uncertain of the effects of programmes that are primarily resistance training, or dance or walking programmes on the rate of falls and the number of people who experience falls. No trials compared flexibility or endurance exercise versus control., Authors' Conclusions: Exercise programmes reduce the rate of falls and the number of people experiencing falls in older people living in the community (high-certainty evidence). The effects of such exercise programmes are uncertain for other non-falls outcomes. Where reported, adverse events were predominantly non-serious.Exercise programmes that reduce falls primarily involve balance and functional exercises, while programmes that probably reduce falls include multiple exercise categories (typically balance and functional exercises plus resistance exercises). Tai Chi may also prevent falls but we are uncertain of the effect of resistance exercise (without balance and functional exercises), dance, or walking on the rate of falls.

Questions: In people aged ≥ 60 years, does a combined physical activity and fall prevention intervention affect physical activity and mobility-related goal attainment? Does the combined intervention also improve fall rates, daily steps, the proportion of people meeting the physical activity guidelines, quality of life, mood, fear of falling, and mobility limitation?, Design: Randomised trial with concealed allocation, intention-to-treat analysis and assessor blinding., Participants: One hundred and thirty-one people living in the community and aged ≥ 60 years., Interventions: The experimental group received one physiotherapist visit, fortnightly telephone-based health coaching, a pedometer, tailored fall prevention advice, and a fall prevention brochure. The control group received the same fall prevention brochure., Outcome Measures: Primary outcomes were mobility goal attainment (Goal Attainment Scale) and objectively measured physical activity (accelerometer counts per minute) at 6 and 12 months. Secondary outcomes were falls, other physical activity measures, quality of life, fear of falling, mood, and mobility., Results: Participants had a mean age of 71 years (SD 6.5) and 31 (24%) had fallen in the past year. The experimental group reported significantly better mobility goal attainment at 6 months compared to controls (OR 2.0, 95% CI 1.1 to 3.7) but this was not maintained at 12 months (OR 1.1, 95% CI 0.6 to 2.1). Physical activity counts were not significantly different between groups at 6 months (MD 13 counts/minute, 95% CI -98 to 124) or 12 months (MD 56 counts/minute, 95% CI -14 to 125). There were no significant between-group differences in the secondary outcomes., Conclusion: A combined physical activity and fall prevention intervention was associated with significantly higher mobility goal attainment at 6 months. There was no significant impact on physical activity but future investigation in a larger trial is warranted., Trial Registration: ACTRN12614000016639., (Copyright © 2018. Published by Elsevier B.V.)

Background: Falls and fall-related injuries are common, particularly in those aged over 65, with around one-third of older people living in the community falling at least once a year. Falls prevention interventions may comprise single component interventions (e.g. exercise), or involve combinations of two or more different types of intervention (e.g. exercise and medication review). Their delivery can broadly be divided into two main groups: 1) multifactorial interventions where component interventions differ based on individual assessment of risk; or 2) multiple component interventions where the same component interventions are provided to all people., Objectives: To assess the effects (benefits and harms) of multifactorial interventions and multiple component interventions for preventing falls in older people living in the community., Search Methods: We searched the Cochrane Bone, Joint and Muscle Trauma Group Specialised Register, the Cochrane Central Register of Controlled Trials, MEDLINE, Embase, the Cumulative Index to Nursing and Allied Health Literature, trial registers and reference lists. Date of search: 12 June 2017., Selection Criteria: Randomised controlled trials, individual or cluster, that evaluated the effects of multifactorial and multiple component interventions on falls in older people living in the community, compared with control (i.e. usual care (no change in usual activities) or attention control (social visits)) or exercise as a single intervention., Data Collection and Analysis: Two review authors independently selected studies, assessed risks of bias and extracted data. We calculated the rate ratio (RaR) with 95% confidence intervals (CIs) for rate of falls. For dichotomous outcomes we used risk ratios (RRs) and 95% CIs. For continuous outcomes, we used the standardised mean difference (SMD) with 95% CIs. We pooled data using the random-effects model. We used the GRADE approach to assess the quality of the evidence., Main Results: We included 62 trials involving 19,935 older people living in the community. The median trial size was 248 participants. Most trials included more women than men. The mean ages in trials ranged from 62 to 85 years (median 77 years). Most trials (43 trials) reported follow-up of 12 months or over. We assessed most trials at unclear or high risk of bias in one or more domains.Forty-four trials assessed multifactorial interventions and 18 assessed multiple component interventions. (I 2 not reported if = 0%).Multifactorial interventions versus usual care or attention controlThis comparison was made in 43 trials. Commonly-applied or recommended interventions after assessment of each participant's risk profile were exercise, environment or assistive technologies, medication review and psychological interventions. Multifactorial interventions may reduce the rate of falls compared with control: rate ratio (RaR) 0.77, 95% CI 0.67 to 0.87; 19 trials; 5853 participants; I 2 = 88%; low-quality evidence. Thus if 1000 people were followed over one year, the number of falls may be 1784 (95% CI 1553 to 2016) after multifactorial intervention versus 2317 after usual care or attention control. There was low-quality evidence of little or no difference in the risks of: falling (i.e. people sustaining one or more fall) (RR 0.96, 95% CI 0.90 to 1.03; 29 trials; 9637 participants; I 2 = 60%); recurrent falls (RR 0.87, 95% CI 0.74 to 1.03; 12 trials; 3368 participants; I 2 = 53%); fall-related hospital admission (RR 1.00, 95% CI 0.92 to 1.07; 15 trials; 5227 participants); requiring medical attention (RR 0.91, 95% CI 0.75 to 1.10; 8 trials; 3078 participants). There is low-quality evidence that multifactorial interventions may reduce the risk of fall-related fractures (RR 0.73, 95% CI 0.53 to 1.01; 9 trials; 2850 participants) and may slightly improve health-related quality of life but not noticeably (SMD 0.19, 95% CI 0.03 to 0.35; 9 trials; 2373 participants; I 2 = 70%). Of three trials reporting on adverse events, one found none, and two reported 12 participants with self-limiting musculoskeletal symptoms in total.Multifactorial interventions versus exerciseVery low-quality evidence from one small trial of 51 recently-discharged orthopaedic patients means that we are uncertain of the effects on rate of falls or risk of falling of multifactorial interventions versus exercise alone. Other fall-related outcomes were not assessed.Multiple component interventions versus usual care or attention controlThe 17 trials that make this comparison usually included exercise and another component, commonly education or home-hazard assessment. There is moderate-quality evidence that multiple interventions probably reduce the rate of falls (RaR 0.74, 95% CI 0.60 to 0.91; 6 trials; 1085 participants; I 2 = 45%) and risk of falls (RR 0.82, 95% CI 0.74 to 0.90; 11 trials; 1980 participants). There is low-quality evidence that multiple interventions may reduce the risk of recurrent falls, although a small increase cannot be ruled out (RR 0.81, 95% CI 0.63 to 1.05; 4 trials; 662 participants). Very low-quality evidence means that we are uncertain of the effects of multiple component interventions on the risk of fall-related fractures (2 trials) or fall-related hospital admission (1 trial). There is low-quality evidence that multiple interventions may have little or no effect on the risk of requiring medical attention (RR 0.95, 95% CI 0.67 to 1.35; 1 trial; 291 participants); conversely they may slightly improve health-related quality of life (SMD 0.77, 95% CI 0.16 to 1.39; 4 trials; 391 participants; I 2 = 88%). Of seven trials reporting on adverse events, five found none, and six minor adverse events were reported in two.Multiple component interventions versus exerciseThis comparison was tested in five trials. There is low-quality evidence of little or no difference between the two interventions in rate of falls (1 trial) and risk of falling (RR 0.93, 95% CI 0.78 to 1.10; 3 trials; 863 participants) and very low-quality evidence, meaning we are uncertain of the effects on hospital admission (1 trial). One trial reported two cases of minor joint pain. Other falls outcomes were not reported., Authors' Conclusions: Multifactorial interventions may reduce the rate of falls compared with usual care or attention control. However, there may be little or no effect on other fall-related outcomes. Multiple component interventions, usually including exercise, may reduce the rate of falls and risk of falling compared with usual care or attention control.

Objectives and importance of study: Yoga improves balance and mobility, and therefore has potential as a fall prevention strategy, yet its validity for preventing falls has not been established. The Otago Exercise Programme (OEP) and tai chi are proven to prevent falls. This study aimed to evaluate the perceptions and preferences of older people towards a yoga-based program with potential to decrease falls, to compare these perceptions to the views expressed about the OEP and tai chi, and to identify participant characteristics associated with a preference for the yoga program., Study Type: Survey., Methods: Participants were 235 community-dwellers aged 60 years or older who were not participating or had not previously participated (within the past 10 years) in yoga-based exercise. Participants completed a self-report survey measuring demographics, physical activity level and attitude. They then viewed explanations of the yoga-based program, the OEP and tai chi. Participants completed the Attitudes to Falls-Related Interventions Scale (AFRIS) to measure program acceptability and identified their preferred program. Acceptability scores and preference were compared between the programs, and factors associated with yoga preference were identified with analysis of variance., Results: The mean age of participants (69% female) was 69.4 years (standard deviation 7.4). All programs were rated as equally acceptable (p = 0.17), with AFRIS scores ranging from 28.1 to 29.4. Eighty-two people (35%) preferred yoga, 32% chose the OEP and 33% chose tai chi. Overall, people who preferred yoga were significantly younger, healthier, less fearful of falling, and perceived exercise more positively than people who preferred the OEP (p values ranged from 0.03 to <0.001). The characteristics of people who preferred yoga and those who preferred tai chi did not vary significantly., Conclusions: Yoga was perceived to be appropriate and was as popular as two validated fall prevention programs. Yoga warrants further investigation as a fall prevention strategy, particularly for 'younger' and healthier people aged 60 years or older., Competing Interests: None declared

Objective: Previous meta-analyses have found that exercise prevents falls in older people. This study aimed to test whether this effect is still present when new trials are added, and it explores whether characteristics of the trial design, sample or intervention are associated with greater fall prevention effects., Design: Update of a systematic review with random effects meta-analysis and meta-regression., Data Sources: Cochrane Library, CINAHL, MEDLINE, EMBASE, PubMed, PEDro and SafetyLit were searched from January 2010 to January 2016., Study Eligibility Criteria: We included randomised controlled trials that compared fall rates in older people randomised to receive exercise as a single intervention with fall rates in those randomised to a control group., Results: 99 comparisons from 88 trials with 19 478 participants were available for meta-analysis. Overall, exercise reduced the rate of falls in community-dwelling older people by 21% (pooled rate ratio 0.79, 95% CI 0.73 to 0.85, p<0.001, I 2 47%, 69 comparisons) with greater effects seen from exercise programmes that challenged balance and involved more than 3 hours/week of exercise. These variables explained 76% of the between-trial heterogeneity and in combination led to a 39% reduction in falls (incident rate ratio 0.61, 95% CI 0.53 to 0.72, p<0.001). Exercise also had a fall prevention effect in community-dwelling people with Parkinson's disease (pooled rate ratio 0.47, 95% CI 0.30 to 0.73, p=0.001, I 2 65%, 6 comparisons) or cognitive impairment (pooled rate ratio 0.55, 95% CI 0.37 to 0.83, p=0.004, I 2 21%, 3 comparisons). There was no evidence of a fall prevention effect of exercise in residential care settings or among stroke survivors or people recently discharged from hospital., Summary/conclusions: Exercise as a single intervention can prevent falls in community-dwelling older people. Exercise programmes that challenge balance and are of a higher dose have larger effects. The impact of exercise as a single intervention in clinical groups and aged care facility residents requires further investigation, but promising results are evident for people with Parkinson's disease and cognitive impairment., Competing Interests: Competing interests: None declared., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

Background: Physical inactivity is common in older age, yet increased activity benefits older people in terms of preventing chronic disease and maximising independence. Health coaching is a behaviour change intervention that has been shown to increase physical activity in clinical populations. This systematic review and meta-analysis investigated the effect of health coaching on physical activity, mobility, quality of life and mood in older people., Methods: MEDLINE, EMBASE, CENTRAL, PsycINFO, PEDro, SPORTDiscus, LILACS and CINAHL databases were used to identify randomised controlled trials which evaluated the effect of health coaching on physical activity (primary outcome) among people aged 60+. Secondary outcomes were mobility, quality of life and mood. We calculated standardised mean differences (SMDs, Hedges' g) with 95% CIs from random effects meta-analyses., Results: 27 eligible trials were included. Health coaching had a small, statistically significant effect on physical activity (27 studies; SMD = 0.27; 95% CI 0.18 to 0.37; p<0.001). There was no evidence of an effect of health coaching on mobility (eight studies; SMD = 0.10; 95% CI -0.03 to 0.23; p=0.13), quality of life (eight studies; SMD = 0.07; 95% CI -0.06 to 0.20; p<0.05) or mood (five studies; SMD = 0.02; 95% CI -0.12 to 0.16; p=0.83)., Conclusions: Health coaching significantly increased physical activity in people aged 60+. There was no evidence of an effect of health coaching on quality of life, mobility and mood, so different approaches may be required to impact on these outcomes., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Aim: The aim is to explore (i) the relationship between quality of life and physical parameters (muscle strength and mobility) among people undergoing maintenance haemodialysis; (ii) changes in strength and mobility over time and predictors of changes; and (iii) whether strength and mobility were associated with falls., Methods: We recruited 51 maintenance haemodialysis patients to a prospective longitudinal study. Baseline quality of life was assessed using the SF-36 physical component summary and mental component summary scores. Muscle strength (ankle dorsiflexion strength measured with a hand-held dynamometer), mobility (short physical performance battery) and falls history were assessed at baseline, 12 and 36 months. Associations between variables at baseline were assessed with linear regression models. Changes in physical parameters were evaluated with paired t-tests and prediction of falls assessed by negative binominal regression., Results: Fifty and 34 patients completed 12 and 36 month follow-ups, respectively. Baseline mobility but not muscle strength correlated with physical component summary (P = 0.01 and P = 0.23, respectively). Neither baseline mobility nor muscle strength correlated with mental component summary. At 12 months, muscle strength and mobility had significantly deteriorated (mean ankle dorsiflexion strength 11.0 lb (SD 1.5) from 14.0 lb (SD 2.2), P < 0.01; short physical performance battery 8.5 (SD 2.8) from 9.3 (SD 2.6), P < 0.01). Falls at 12 and 36 months were predicted by baseline mobility (P = 0.06 and P = 0.02, respectively) but not muscle strength., Conclusion: Physical parameters appear to be associated with meaningful patient outcomes and showed measurable deterioration over relatively short time frames. Interventions, with the potential to slow physical decline in people receiving maintenance dialysis, such as exercise programmes, warrant further investigation., (© 2016 Asian Pacific Society of Nephrology.)

Introduction: People with mobility limitations can benefit from rehabilitation programmes that provide a high dose of exercise. However, since providing a high dose of exercise is logistically challenging and resource-intensive, people in rehabilitation spend most of the day inactive. This trial aims to evaluate the effect of the addition of affordable technology to usual care on physical activity and mobility in people with mobility limitations admitted to inpatient aged and neurological rehabilitation units compared to usual care alone., Methods and Analysis: A pragmatic, assessor blinded, parallel-group randomised trial recruiting 300 consenting rehabilitation patients with reduced mobility will be conducted. Participants will be individually randomised to intervention or control groups. The intervention group will receive technology-based exercise to target mobility and physical activity problems for 6 months. The technology will include the use of video and computer games/exercises and tablet applications as well as activity monitors. The control group will not receive any additional intervention and both groups will receive usual inpatient and outpatient rehabilitation care over the 6-month study period. The coprimary outcomes will be objectively assessed physical activity (proportion of the day spent upright) and mobility (Short Physical Performance Battery) at 6 months after randomisation. Secondary outcomes will include: self-reported and objectively assessed physical activity, mobility, cognition, activity performance and participation, utility-based quality of life, balance confidence, technology self-efficacy, falls and service utilisation. Linear models will assess the effect of group allocation for each continuously scored outcome measure with baseline scores entered as a covariate. Fall rates between groups will be compared using negative binomial regression. Primary analyses will be preplanned, conducted while masked to group allocation and use an intention-to-treat approach., Ethics and Dissemination: The protocol has been approved by the relevant Human Research Ethics Committees and the results will be disseminated widely through peer-reviewed publication and conference presentations., Trial Registration Number: ACTRN12614000936628. Pre-results., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Introduction: Prevention of falls and promotion of physical activity are essential for maximising well-being in older age. However, there is evidence that promoting physical activity among older people without providing fall prevention advice may increase fall rates. This trial aims to establish the impact of a physical activity and fall prevention programme compared with a healthy eating programme on physical activity and falls among people aged 60+ years., Methods and Analysis: This cluster randomised controlled trial will involve 60 groups of community-dwelling people aged 60+ years. Participating groups will be randomised to: (1) a physical activity and fall prevention intervention (30 groups), involving written information, fall risk assessment and prevention advice, a pedometer-based physical activity tracker and telephone-based health coaching; or (2) a healthy eating intervention (30 groups) involving written information and telephone-based dietary coaching. Primary outcomes will be objectively measured physical activity at 12 months post-randomisation and self-reported falls throughout the 12-month trial period. Secondary outcomes include: the proportion of fallers, the proportion of people meeting the Australian physical activity guidelines, body mass index, eating habits, mobility goal attainment, mobility-related confidence, quality of life, fear of falling, risk-taking behaviour, mood, well-being, self-reported physical activity, disability, and health and community service use. The between-group difference in the number of falls per person-year will be analysed using negative binomial regression models. For the continuously scored primary and secondary outcome measures, linear regression adjusted for corresponding baseline scores will assess the effect of group allocation. Analyses will be preplanned, conducted while masked to group allocation, will take into account cluster randomisation, and will use an intention-to-treat approach., Ethics and Dissemination: Protocol has been approved by the Human Research Ethics Committee at The University of Sydney, Australia (number 2015/517). Results will be disseminated via peer-reviewed journal articles, international conference presentations and participants' newsletters., Trial Registration Number: ACTRN12615001190594., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Question: Does adding video/computer-based interactive exercises to inpatient geriatric and neurological rehabilitation improve mobility outcomes? Is it feasible and safe?, Design: Randomised trial., Participants: Fifty-eight rehabilitation inpatients., Intervention: Physiotherapist-prescribed, tailored, video/computer-based interactive exercises for 1 hour on weekdays, mainly involving stepping and weight-shifting exercises., Outcome Measures: The primary outcome was the Short Physical Performance Battery (0 to 3) at 2 weeks. Secondary outcomes were: Maximal Balance Range (mm); Step Test (step count); Rivermead Mobility Index (0 to 15); activity levels; Activity Measure for Post Acute Care Basic Mobility (18 to 72) and Daily Activity (15 to 60); Falls Efficacy Scale (10 to 40), ED5D utility score (0 to 1); Reintegration to Normal Living Index (0 to 100); System Usability Scale (0 to 100) and Physical Activity Enjoyment Scale (0 to 126). Safety was determined from adverse events during intervention., Results: At 2 weeks the between-group difference in the primary outcome (0.1, 95% CI -0.2 to 0.3) was not statistically significant. The intervention group performed significantly better than usual care for Maximal Balance Range (38mm difference after baseline adjustment, 95% CI 6 to 69). Other secondary outcomes were not statistically significant. Fifty-eight (55%) of the eligible patients agreed to participate, 25/29 (86%) completed the intervention and 10 (39%) attended > 70% of sessions, with a mean of 5.6 sessions (SD 3.3) attended and overall average duration of 4.5hours (SD 3.1). Average scores were 62 (SD 21) for the System Usability Scale and 62 (SD 8) for the Physical Activity Enjoyment Scale. There were no adverse events., Conclusion: The addition of video/computer-based interactive exercises to usual rehabilitation is a safe and feasible way to increase exercise dose, but is not suitable for all. Adding the exercises to usual rehabilitation resulted in task-specific improvements in balance but not overall mobility., Registration: ACTRN12613000610730., (Copyright © 2015. Published by Elsevier B.V.)

Background: Physical inactivity accounts for 9% of all deaths worldwide and is among the top 10 risk factors for global disease burden. Nearly half of people aged over 60 years are inactive. Efforts to identify which factors influence physical activity behaviour are needed., Objective: To identify and synthesise the range of barriers and facilitators to physical activity participation., Methods: Systematic review of qualitative studies on the perspectives of physical activity among people aged 60 years and over. MEDLINE, EMBASE, CINAHL, PsychINFO and AMED were searched. Independent raters assessed comprehensiveness of reporting of included studies. Thematic synthesis was used to analyse the data., Results: From 132 studies involving 5987 participants, we identified six major themes: social influences (valuing interaction with peers, social awkwardness, encouragement from others, dependence on professional instruction); physical limitations (pain or discomfort, concerns about falling, comorbidities); competing priorities; access difficulties (environmental barriers, affordability); personal benefits of physical activity (strength, balance and flexibility, self-confidence, independence, improved health and mental well-being); and motivation and beliefs (apathy, irrelevance and inefficacy, maintaining habits)., Conclusions: Some older people still believe that physical activity is unnecessary or even potentially harmful. Others recognise the benefits of physical activity, but report a range of barriers to physical activity participation. Strategies to enhance physical activity participation among older people should include (1) raising awareness of the benefits and minimise the perceived risks of physical activity and (2) improving the environmental and financial access to physical activity opportunities., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Objective: to evaluate the impact on balance (postural control) of six 1-h circuit classes that targeted balance in addition to usual therapy for rehabilitation inpatients., Design: a randomised controlled trial with 2-week and 3-month follow-up., Participants: one hundred and sixty-two general rehabilitation inpatients, Bankstown-Lidcombe Hospital, Australia., Intervention: intervention group participants received six 1-h circuit classes over a 2-week period in addition to usual therapy. Control group participants received usual therapy., Results: standing balance performance (primary outcome) was better in the intervention group than in the control group at 2 weeks (between-group difference after adjusting for baseline values 3.3 s; 95% confidence interval (CI) 0.84 to 5.7, P = 0.009), but the between-group difference was not statistically significant at 3 months (3.4 s; 95% CI -0.56 to 7.38, P = 0.092). Intervention group outcomes were significantly better than the control groups for mobility performance (Short Physical Performance Battery) at 2 weeks (1.19, 95% CI 0.52 to 1.87, P <0.01) and 3 months (1.00, 95% CI 0.00 to 2.00, P < 0.049) and self-reported functioning (AM-PAC) at 2 weeks (5.39, 95% CI 1.20 to 9.57, P = 0.012). The intervention group had a 4.1-day shorter rehabilitation unit stay (95% CI -8.3 to 0.16, P = 0.059) and a lower risk of readmission in the 3 months after randomisation (incidence rate ratio 0.70, 95% CI 0.42 to 1.18, P = 0.184), but these differences were not statistically significant., Conclusion: two weeks of standing balance circuit classes in addition to usual therapy improved balance in general rehabilitation inpatients at 2 weeks., (© The Author 2015. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)