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Background: Telehealth was widely adopted in health services during the COVID-19 pandemic. It is unknown what the attitudes and ongoing needs of healthcare staff are after a rapid implementation of telehealth., Aims: To evaluate staff attitudes to telehealth utilisation after a rapid implementation., Methods: A health service-wide bespoke survey was sent to all clinicians, managers and administration staff in June-July 2021. We evaluated attitudes to: (i) telehealth application in the model of care; and (ii) the barriers and enablers to use of telehealth. Descriptive statistics were used for quantitative data, and content analysis for the textual data., Results: One hundred and thirty-four respondents completed the survey (response rate = 22.5% of healthdirect users (71/315), and 3.2% of total healthcare staff population). Most commonly, telehealth was identified as being important (78%) and safe (79%) by clinicians, and important (100%) and encouraged (88%) by managers. In contrast, telehealth was identified as not the same as face to face (56%; 50%), but easy to add to usual work arrangements (43%; 44%) by clinicians and managers respectively. The most common enablers of telehealth were: (i) having others use the same telehealth platform (74.3%; 100%); and (ii) completing training (68.9%; 72.7%) by clinicians and managers respectively. The most common barriers were having: (i) reliable Internet connectivity (39.2%; 45.5%) by clinicians and managers, respectively; (ii) the right equipment (clinician 37.8%); and (iii) a private area (managers 36.3%)., Conclusions: Despite training and having support from colleagues to implement telehealth, ongoing needs were identified that may promote uptake in specific health settings., (© 2022 Royal Australasian College of Physicians.)

Home care clients with dementia/cognitive impairment are typically functionally dependent and physically inactive. We pilot-tested a co-designed physical exercise program for its feasibility, safety, adherence and potential for benefits on physical activity, physical function, healthcare use and falls. Trained community care support workers delivered a 12-week home exercise program to clients with dementia/cognitive impairment, once weekly for 15 min during care shifts, supplemented by carers' supervision of exercises for 30 min, three times weekly. A physiotherapist provided fortnightly phone support to ensure safety and exercise progression. Baseline and Week 12 assessments using validated scales for physical activity, physical function, daily living independence, falls efficacy, quality of life, self-reported healthcare use, falls and sleep quality were undertaken. Differences were examined with regression analyses. Care support workers ( n = 26) and client/carer dyads ( n = 26 and 80.8% culturally and linguistically diverse) participated. Participants recorded adverse events/falls and exercises in dairies. Fifteen dyads completed the program. No falls/adverse events occurred with the exercises. The adherence rates against targets for exercise time completed and days in which exercise were undertaken for support workers were 137%/79.6%, and for client/carer dyads were 82%/104.8%, respectively. Physical activity participation, physical function and falls efficacy significantly improved at Week 12 compared to baseline. The feasibility, safety and adherence of the co-designed physical exercise program were demonstrated. Strategies to minimise dropouts in future effectiveness studies are required.

Aims: Female sex is associated with an increased prevalence of dementia. Menopause may have a role to play in explaining sex differences in cognition, and possibly the risk of future dementia. We aimed to determine if the rate of cognitive decline differed between stages of the menopausal transition., Materials and Methods: Women with data on menopause and longitudinal cognitive function from the UK Biobank study were stratified into three groups: premenopausal, perimenopausal and postmenopausal. We studied associations of these menopause groups with rate of change in reaction time, verbal-numeric reasoning, prospective memory, visual memory and attention/working memory, adjusted for age, education, ethnicity and APOEε4 genotype. We also explored the effect of menopausal hormonal therapy (MHT) use and cross-sectional brain magnetic resonance imaging (MRI) volumes on these models., Results: We included 15,486 women (baseline mean age 52 years) over a mean duration of 8 years. An interaction between menopausal group status and time was found for reaction time ( p < 0.01). Compared with premenopausal women, the rate of increase (worsening) in reaction time was least in postmenopausal women (β = -1.07, p for interaction = 0.02). In general, compared with premenopausal women, perimenopausal and postmenopausal women had overall poorer performance in fluid intelligence and memory over the study duration, with no difference in rates of change. The models were unaffected by MHT use and brain volume measures., Conclusions: Perimenopause and post-menopause are associated with cognitive changes. Psychomotor speed appears to be most sensitive to the menopause transition, whereas other cognitive functions may be less susceptible. More sensitive structural or functional brain imaging may be required to understand the underlying neural basis for these findings., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Than, Moran, Beare, Vincent, Lane, Collyer, Callisaya and Srikanth.)

Falls risk is often assessed without considering exposure to risk. We examined the risk factors associated with falls in those with greater and lower levels of daily step count. Falls were recorded over 12 months using bimonthly calendars in community-dwelling older people (mean age 72.0, SD 6.9). Daily step count was measured using a pedometer worn consecutively for 7 days. A cut score of <5,575.5 steps/day was used to identify people with lower step count. Negative binominal models were used to identify cognitive, medical, and sensorimotor factors associated with falls in those with higher versus lower levels of daily step count. In those with lower daily step count, poorer executive function, slower gait speed, and lower steps per day were associated with increased falls risk. In those with higher step count, only mood was associated with increased falls risk. Considering daily step count is important when assessing falls risk in older people.

Background and Objectives: It is unknown whether there are sex-related profiles of cardiometabolic health that contribute differently to age-related changes in brain health during midlife. We studied how latent classes of middle-aged individuals clustering by age, sex, menopause, and cardiometabolic health were associated with brain structure and cognitive performance., Methods: Health, brain, and abdominal MRI data from the UK Biobank cohort (men and women aged >40 years in the United Kingdom) were used. We applied latent class analysis to identify groups of individuals based on age, sex, menopausal status, and cardiometabolic health. We examined associations of class membership with brain volumes (total brain volume [TBV], gray matter volume [GMV], white matter volume [WMV], hippocampal volume, and white matter hyperintensity volume) and cognitive performance., Results: Data were available for 36,420 individuals (mean age 64.9 years, 48.5% women). Eight latent classes differing in age, sex, and cardiometabolic risk were identified. Class 1 (reference class) included individuals with the lowest probability of older age and cardiometabolic risk, and the healthiest levels of brain volumes and cognition. In those aged >60 years, but not in those aged 50-60 years, the negative associations of age with TBV, GMV, and WMV were greater in the class comprising healthier older women than classes comprising older men of varying cardiometabolic and vascular health. There were no age-class interactions for cognitive test performance., Discussion: Latent class analysis detected groups of middle-aged individuals clustering by cardiometabolic health. The relationship of age with brain volumes varies by sex, menopausal status, and cardiometabolic health profile., (© 2022 American Academy of Neurology.)

Introduction: To determine whether slowed gait and weakened grip strength independently, or together, better identify risk of cognitive decline or dementia., Methods: Time to walk 3 meters and grip strength were measured in a randomized placebo-controlled clinical trial involving community-dwelling, initially cognitively healthy older adults (N = 19,114)., Results: Over a median 4.7 years follow-up, slow gait and weak grip strength at baseline were independently associated with risk of incident dementia (hazard ratio [HR] = 1.44, 95% confidence interval [CI]: 1.19-1.73; and 1.24, 95% CI: 1.04-1.50, respectively) and cognitive decline (HR = 1.38, 95% CI: 1.26-1.51; and 1.04, 95% CI: 0.95-1.14, respectively) and when combined, were associated with 79% and 43% increase in risk of dementia and cognitive decline, respectively. Annual declines in gait and in grip over time showed similar results., Discussion: Gait speed and grip strength are low-cost markers that may be useful in the clinical setting to help identify and manage individuals at greater risk, or with early signs, of dementia, particularly when measured together., Highlights: Grip strength and gait speed are effective predictors and markers of dementia.Dementia risk is greater than cognitive decline risk with declines in gait or grip.Decline in gait speed, more so than in grip strength, predicts greater dementia risk.Greater risk prediction results from combining grip strength and gait speed., Competing Interests: Drs. Orchard, Polekhina, Ryan, Shah, Storey, Chong, Lockery, Wolfe, Reid, Newman, Espinoza, McNeil, Collyer, Callisaya, and Woods have nothing to disclose. Dr. Murray reports receiving consulting and travel fees from Bayer AG to present ASPREE primary results after their publication, and consulting fees from Alkahest, Inc. and reports grants from National Institute on Aging. Dr. Shah serves as a non‐compensated member of the Board of Directors of the Alzheimer's Association–Illinois Chapter. Dr. Shah's institution, Rush University Medical Center, receives research support for his role as a Site Principal Investigator or Site Sub‐Investigator for industry initiated clinical trials and research studies of Alzheimer's disease sponsored by Amylyx Pharmaceuticals, Inc., Athira Pharma, Eli Lilly & Co., Inc., Genentech, Inc., Merck & Co., Inc., Navidea Biopharmaceuticals, Novartis Pharmaceuticals, Inc., Roche Holdings AG, and Takeda Development Center Americas, Inc. Dr. Nelson has received consulting and travel fees from Bayer AG. Dr. Ward has received payment from Roche for participating in an advisory board meeting on Alzheimer's dementia. Author disclosures are available in the supporting information., (© 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.)

Objective: To explore older persons' perceptions of the impact of COVID-19 restrictions on participating in community activities after discharge from inpatient rehabilitation., Methods: Mixed-methods study design. Participants were older adults who were discharged home following inpatient rehabilitation. Interviews were conducted with 70 participants, with a variety of diagnoses, 8 weeks after discharge from inpatient rehabilitation. Frequency of participation in domestic, leisure/work and outdoor activities was measured using the Frenchay Activities Index (FAI). Qualitative analysis was completed using qualitative content analysis and triangulated with FAI scores., Results: In all, 70 older adults (mean age: 73.0 years, SD: 9.9; 59% female) participated in the study. The overarching theme was that participants felt socially isolated following discharge from rehabilitation, with COVID-19 restrictions increasing perceptions of social isolation and complicating their return to participating in community activities. The four categories informing the overarching theme were as follows: physical health was the primary limitation to participation in community activities; COVID-19 restrictions limited participation in social activities and centre-based physical rehabilitation; low uptake of videoconferencing to facilitate socialisation and rehabilitation; and reduced incidental physical activity. Mean FAI score was 21.2 (SD 7.8), indicating that participants were moderately active. Participants most commonly performed domestic activities (mean: 10.0, SD: 4.1), followed by outdoor activities (mean: 6.6, SD: 3.5) and leisure/work activities (mean: 4.5, SD: 2.5)., Conclusions: COVID-19 restrictions exacerbated perceptions of social isolation and the limitations already imposed by poor physical health after discharge from rehabilitation. The findings highlight the need for rehabilitation that addresses the psychological and social dimensions of community reintegration., (© 2022 The Authors. Australasian Journal on Ageing published by John Wiley & Sons Australia, Ltd on behalf of AJA Inc’.)

Objectives: Clusters of low fitness and high obesity in childhood are associated with poorer health outcomes in later life, however their relationship with cognition is unknown. Identifying such profiles may inform strategies to reduce risk of cognitive decline. This study examined whether specific profiles of childhood fitness and obesity were associated with midlife cognition., Design: Prospective study., Methods: In 1985, participants aged 7-15 years from the Australian Childhood Determinants of Adult Health study were assessed for fitness (cardiorespiratory, muscular power, muscular endurance) and anthropometry (waist-to-hip ratio). Participants were followed up between 2017 and 2019 (aged 39-50). Composites of psychomotor speed-attention, learning-working memory and global cognition were assessed using CogState computerised battery. Latent profile analysis was used to derive mutually exclusive profiles based on fitness and anthropometry. Linear regression analyses examined associations between childhood profile membership and midlife cognition adjusting for age, sex and education level., Results: 1244 participants were included [age: 44.4 ± 2.6 (mean ± SD) years, 53% female]. Compared to those with the highest levels of fitness and lowest waist-to-hip ratio, three different profiles characterised by combinations of poorer cardiorespiratory fitness, muscular endurance and power were associated with lower midlife psychomotor-attention [up to -1.09 (-1.92, -0.26) SD], and lower global cognition [up to -0.71 (-1.41, -0.01) SD]. No associations were detected with learning-working memory., Conclusions: Strategies that improve low fitness and decrease obesity levels in childhood could contribute to improvements in cognitive performance in midlife., (Copyright © 2022 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

Importance: Dual decline in gait speed and cognition has been found to be associated with increased dementia risk in previous studies. However, it is unclear if risks are conferred by a decline in domain-specific cognition and gait., Objective: To examine associations between dual decline in gait speed and cognition (ie, global, memory, processing speed, and verbal fluency) with risk of dementia., Design, Setting, and Participants: This cohort study used data from older adults in Australia and the US who participated in a randomized clinical trial testing low-dose aspirin between 2010 and 2017. Eligible participants in the original trial were aged 70 years or older, or 65 years or older for US participants identifying as African American or Hispanic. Data analysis was performed between October 2020 and November 2021., Exposures: Gait speed, measured at 0, 2, 4, and 6 years and trial close-out in 2017. Cognitive measures included Modified Mini-Mental State examination (3MS) for global cognition, Hopkins Verbal Learning Test-Revised (HVLT-R) for memory, Symbol Digit Modalities (SDMT) for processing speed, and Controlled Oral Word Association Test (COWAT-F) for verbal fluency, assessed at years 0, 1, 3, 5, and close-out. Participants were classified into 4 groups: dual decline in gait and cognition, gait decline only, cognitive decline only, and nondecliners. Cognitive decline was defined as membership of the lowest tertile of annual change. Gait decline was defined as a decline in gait speed of 0.05 m/s or greater per year across the study., Main Outcomes and Measures: Dementia (using Diagnostic and Statistical Manual of Mental Disorders [Fourth Edition] criteria) was adjudicated by an expert panel using cognitive tests, functional status, and clinical records. Cox proportional hazard models were used to estimate risk of dementia adjusting for covariates, with death as competing risk., Results: Of 19 114 randomized participants, 16 855 (88.2%) had longitudinal gait and cognitive data for inclusion in this study (mean [SD] age, 75.0 [4.4] years; 9435 women [56.0%], 7558 participants [44.8%] with 12 or more years of education). Compared with nondecliners, risk of dementia was highest in the gait plus HVLT-R decliners (hazard ratio [HR], 24.7; 95% CI, 16.3-37.3), followed by the gait plus 3MS (HR, 22.2; 95% CI, 15.0-32.9), gait plus COWAT-F (HR, 4.7; 95% CI, 3.5-6.3), and gait plus SDMT (HR, 4.3; 95% CI, 3.2-5.8) groups. Dual decliners had a higher risk of dementia than those with either gait or cognitive decline alone for 3MS and HVLT-R., Conclusions and Relevance: Of domains examined, the combination of decline in gait speed with memory had the strongest association with dementia risk. These findings support the inclusion of gait speed in dementia risk screening assessments.

Background: There are few large population-based studies of outcomes after subarachnoid hemorrhage (SAH) than other stroke types., Methods: We pooled data from 13 population-based stroke incidence studies (10 studies from the INternational STRroke oUtComes sTudy (INSTRUCT) and 3 new studies; N=657). Primary outcomes were case-fatality and functional outcome (modified Rankin scale score 3-5 [poor] vs. 0-2 [good]). Harmonized patient-level factors included age, sex, health behaviours (e.g. current smoking at baseline), comorbidities (e.g.history of hypertension), baseline stroke severity (e.g. NIHSS >7) and year of stroke. We estimated predictors of case-fatality and functional outcome using Poisson regression and generalized estimating equations using log-binomial models respectively at multiple timepoints., Results: Case-fatality rate was 33% at 1 month, 43% at 1 year, and 47% at 5 years. Poor functional outcome was present in 27% of survivors at 1 month and 15% at 1 year. In multivariable analysis, predictors of death at 1-month were age (per decade increase MRR 1.14 [1.07-1.22]) and SAH severity (MRR 1.87 [1.50-2.33]); at 1 year were age (MRR 1.53 [1.34-1.56]), current smoking (MRR 1.82 [1.20-2.72]) and SAH severity (MRR 3.00 [2.06-4.33]) and; at 5 years were age (MRR 1.63 [1.45-1.84]), current smoking (MRR 2.29 [1.54-3.46]) and severity of SAH (MRR 2.10 [1.44-3.05]). Predictors of poor functional outcome at 1 month were age (per decade increase RR 1.32 [1.11-1.56]) and SAH severity (RR 1.85 [1.06-3.23]), and SAH severity (RR 7.09 [3.17-15.85]) at 1 year., Conclusion: Although age is a non-modifiable risk factor for poor outcomes after SAH, however, severity of SAH and smoking are potential targets to improve the outcomes., Competing Interests: Conflict of interest The Authors declare no conflict of interests., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Introduction: Guidelines for hip fracture care state that patients with hip fracture should be mobilised on the day after surgery and at least once a day thereafter. However, compliance with these guidelines is poor. One approach that would assist physiotherapists to meet mobility guidelines after hip fracture is to delegate the provision of daily mobilisation to allied health assistants under their supervision. Therefore, we plan to conduct a randomised controlled trial to determine the feasibility of an allied health assistant providing daily inpatient rehabilitation to patients with hip fracture., Methods and Analysis: Using a parallel group randomised controlled design with one-to-one allocation, participants will be randomly allocated to an experimental group (allied health assistant management) or a comparison group (physiotherapist management). Inclusion criteria are: adult with diagnosis of hip fracture; inpatient in acute hospital; walked independently pre-hip fracture and able to communicate in conversational English. The experimental group will receive routine physiotherapy rehabilitation, including daily mobilisation, from an allied health assistant following initial physiotherapist assessment. The comparison group will receive routine rehabilitation from a physiotherapist. The primary outcome will be the feasibility of allied health assistant management of patients with hip fracture. Feasibility will be determined using the following areas of focus in Bowen's feasibility framework: acceptability (patient satisfaction), demand (proportion of patients who participate), implementation (time allied health assistant/physiotherapist spends with participant, occasions of service) and practicality (cost, adverse events). Staff involved in the implementation of allied health assistant care will be interviewed to explore their perspectives on feasibility. Secondary outcomes include compliance with daily mobilisation guidelines, discharge destination, hospital readmission, falls, functional activity and length of stay. We aim to recruit 50 participants. Descriptive statistics will be used to describe feasibility and mobilisation rates will be calculated using Cox proportional hazards regression to compare compliance with mobilisation guidelines., Ethics and Dissemination: Ethics approval was obtained from the Peninsula Health human research ethics committee (HREC/63 005/PH-2020). The findings will be disseminated in peer-reviewed journals and conference presentations., Trail Registration Number: Australian and New Zealand Clinical Trial Registry; ACTRN12620000877987; Pre-results., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Greater gait variability predicts dementia. However, little is known about the neural correlates of gait variability. The aims of this study were to determine (1) grey matter volume covariance patterns associated with gait variability and (2) whether these patterns were associated with specific cognitive domains. Participants (n = 351; mean age 71.9 ± 7.1) were randomly selected from the Southern Tasmanian electoral roll. Step time, step length, step width and double support time were measured using an electronic walkway. Gait variability was calculated as the standard deviation of all steps for each gait measure. Voxel-based morphometry and multivariate covariance-based analyses were used to identify grey matter patterns associated with each gait variability measure. The individual expressions of grey matter patterns were correlated with processing speed, memory, executive and visuospatial functions. The grey matter covariance pattern of double support time variability included frontal, medial temporal, anterior cingulate, insula, cerebellar and striatal regions. Greater expression of this pattern was correlated with poorer performance in all cognitive functions (p < 0.001). The covariance pattern of step length variability included frontal, temporal, insula, occipital and cerebellar regions and was correlated with all cognitive functions (p < 0.05), except memory (p = 0.76). The covariance pattern of step width variability was limited to the cerebellum and correlated only with memory (p = 0.047). No significant pattern was identified for step time variability. In conclusion, different grey matter covariance patterns were associated with individual gait variability measures. These patterns were also correlated with specific cognitive functions, suggesting common neural networks may underlie both gait and cognition.

Introduction: Falls have a multifactorial aetiology, which may limit the effectiveness of the common approach of exercise as the sole intervention strategy. Multifactorial interventions could be more effective in people at high risk of falling; however, the focus of such interventions has traditionally been quite narrow. This paper describes the design of a randomised controlled trial that will evaluate the effectiveness of an eHealth programme, which addresses cumulative effects of key fall-risk factors across the triad of physical, affective and cognitive functions on falls in older people., Methods and Analysis: 518 older people aged 65 years and over with high fall risk, defined as having a history of falls in the past 6 months, self-reported fear of falling or being aged 80 years or over, will be recruited via local advertisements, newsletters and presentations, and randomised to an intervention or health education control group. The intervention comprises balance exercise, cognitive-motor exercise and cognitive-behavioural therapy, with their dosage based on participant's baseline balance, executive function and mood. The primary outcome is the rate of falls in the 12 months after randomisation. Secondary outcomes at 6 and 12 months comprise programme adherence, healthcare use, physical activity, balance and mobility, cognitive function, psychological well-being, quality of life, health literacy and user experience and attitudes towards the programme. Data will be analysed following intention to treat to gauge real-world effectiveness. We will further determine complier averaged causal effects to correct for varying adherence and conduct economic analyses to gain insight into cost-effectiveness and cost-utility., Ethics and Dissemination: Ethical approval was obtained from the University of New South Wales (UNSW) Human Research Ethics Committee in December 2017. Outcomes will be disseminated via peer-reviewed articles, conference presentations, community events and media releases., Trial Registration Number: ACTRN12619000540112., Competing Interests: Competing interests: The physiological profile assessment is commercially available from Neuroscience Research Australia., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose of Review: Type 2 diabetes (T2D) is a well-established risk factor for the development of dementia. Dementia and T2D share some underlying pathophysiology that has led to interest in the potential to repurpose drugs used in the management of T2D to benefit brain health. This review describes the scientific data available on the use of T2D medications for the risk reduction or management of dementia, in people with and without T2D., Recent Findings: Results from basic laboratory research support the potential for commonly-used medications for T2D, including those with direct glucose-lowering properties, to have a beneficial effect on brain health. However, human studies have been mostly observational in nature and report conflicting results. Preliminary data suggest that intranasal insulin, metformin, and GLP-1 agonists show promise for dementia, but confirmatory evidence for their benefit in dementia is still lacking. Current evidence does not support the repurposing of T2D medications for dementia risk reduction or management. Research in the field of T2D and dementia is active, and further data are required before definitive conclusions can be drawn.

Aims/hypothesis: The aims of the study were to examine whether type 2 diabetes mellitus is associated with greater brain atrophy and cognitive decline, and whether brain atrophy mediates associations between type 2 diabetes and cognitive decline., Methods: Participants without dementia aged 55-90 years from the Cognition and Diabetes in Older Tasmanians (CDOT) study underwent brain MRI (ventricular and total brain volume) and neuropsychological measures (global function and seven cognitive domains) at three time points over 4.6 years. Mixed models were used to examine longitudinal associations of type 2 diabetes with cognitive and MRI measures, adjusting for covariates. A test of mediation was used to determine whether brain atrophy explained associations between type 2 diabetes and cognitive decline., Results: A total of 705 participants (diabetes: n = 348, mean age 68.2 years [SD 7.0]; no diabetes: n = 357, mean age 72.5 years [SD 7.1]) were available at baseline. Adjusting for age, sex, education and vascular risk factors, there were significant diabetes × time interactions for verbal memory (β -0.06; 95% CI -0.09, -0.02) and verbal fluency (β -0.03; 95% CI -0.06, -0.00). Although people with diabetes had lower brain (β -14.273; 95% CI -21.197, -6.580) and greater ventricular (β 2.672; 95% CI 0.152, 5.193) volumes at baseline, there were no significant diabetes × time interactions (p > 0.05) or evidence of mediation of the diabetes-cognition relationship by brain atrophy., Conclusions/interpretation: In older community-dwelling people, type 2 diabetes is associated with decline in verbal memory and fluency over ~5 years. The effect of diabetes on brain atrophy may begin earlier (midlife).

Aims: To estimate the size of regression to the mean with ambulatory blood pressure (ABP) measurement., Methods: Participants from five studies who had repeated blood pressure (BP) measurements using office and ambulatory devices were included. Regression to the mean was calculated following participants being grouped by baseline BP categories. Regression dilution ratio was calculated for groups defined by each baseline BP variable., Results: High baseline ABP readings were substantially lower on long-term follow-up, and low baseline readings tended to be higher. Regression to the mean was observed for all ABP parameters; for systolic and diastolic measures; and for intervention and control groups. For example, among those with baseline 24-h SBP of at least 150 mmHg, mean baseline and follow-up BP was 156 and 141 mmHg, respectively; whereas those with baseline 24-h SBP of less than 120 mmHg, mean baseline and follow-up BP was 113 and 119 mmHg, respectively. Regression to the mean was the greatest for night-time ABP. Regression dilution ratios calculated from control groups were 0.52, 0.53, 0.38 and 0.60 for 24-h, daytime, night-time and office SBP, respectively. Similar results were seen for diastolic measures., Conclusion: ABP is subject to considerable regression to the mean, which has implications for diagnosis and practise; for example, after initiating treatment for hypertension some of the fall in ABP will be because of regression to the mean. Furthermore, associations of ABP with cardiovascular disease will be substantially underestimated if analyses are not adjusted for regression to the mean, especially for night-time ABP. Replication studies are needed to confirm these findings.

Background: Stroke is the third leading cause of disability worldwide. Physical activity is important for secondary stroke prevention and for promoting functional recovery. However, people with stroke are more inactive than healthy age-matched controls. Therefore, interventions to increase activity after stroke are vital to reduce stroke-related disability., Objectives: To summarise the available evidence regarding the effectiveness of commercially available, wearable activity monitors and smartphone applications for increasing physical activity levels in people with stroke., Search Methods: We searched the Cochrane Stroke Group Trials Register, CENTRAL, MEDLINE, Embase, CINAHL, SPORTDiscus, and the following clinical trial registers: WHO International Clinical Trials Registry Platform, Clinical Trials, EU Clinical Trial Register, ISRCTN Registry, Australian and New Zealand Clinical Trial Registry, and Stroke Trials Registry to 3 March 2018. We also searched reference lists, Web of Science forward tracking, and Google Scholar, and contacted trial authors to obtain further data if required. We did not restrict the search on language or publication status., Selection Criteria: We included all randomised controlled trials (RCTs) and randomised cross-over trials that included use of activity monitors versus no intervention, another type of intervention, or other activity monitor. Participants were aged 18 years or older with a diagnosis of stroke, in hospital or living in the community. Primary outcome measures were steps per day and time in moderate-to-vigorous intensity activity. Secondary outcomes were sedentary time, time spent in light intensity physical activity, walking duration, fatigue, mood, quality of life, community participation and adverse events. We excluded upper limb monitors that only measured upper limb activity., Data Collection and Analysis: We followed standard Cochrane methodology to analyse and interpret the data. At least two authors independently screened titles and abstracts for inclusion. We resolved disagreements by consulting a third review author. We extracted the following data from included studies into a standardised template: type of study, participant population, study setting, intervention and co-interventions, time-frame, and outcomes. We graded levels of bias as high, low, or unclear, and assessed the quality of evidence for each outcome using the GRADE approach., Main Results: We retrieved 28,098 references, from which we identified 29 potential articles. Four RCTs (in 11 reports) met the inclusion criteria.The sample sizes ranged from 27 to 135 (total 245 participants). Time poststroke varied from less than one week (n = 1), to one to three months (n = 2), or a median of 51 months (n = 1). Stroke severity ranged from a median of one to six on the National Institutes of Health Stroke Scale (NIHSS). Three studies were conducted in inpatient rehabilitation, and one was in a university laboratory. All studies compared use of activity monitor plus another intervention (e.g. a walking retraining programme or an inpatient rehabilitation programme) versus the other intervention alone. Three studies reported on the primary outcome of daily step counts.There was no clear effect for the use of activity monitors in conjunction with other interventions on step count in a community setting (mean difference (MD) -1930 steps, 95% confidence interval (CI) -4410 to 550; 1 RCT, 27 participants; very low-quality evidence), or in an inpatient rehabilitation setting (MD 1400 steps, 95% CI -40 to 2840; 2 RCTs, 83 participants; very low-quality evidence). No studies reported the primary outcome moderate-to-vigorous physical activity, but one did report time spent in moderate and vigorous intensity activity separately: this study reported that an activity monitor in addition to usual inpatient rehabilitation increased the time spent on moderate intensity physical activity by 4.4 minutes per day (95% CI 0.28 to 8.52; 1 RCT, 48 participants; low-quality evidence) compared with usual rehabilitation alone, but there was no clear effect for the use of an activity monitor plus usual rehabilitation for increasing time spent in vigorous intensity physical activity compared to usual rehabilitation (MD 2.6 minutes per day, 95% CI -0.8 to 6; 1 RCT, 48 participants; low-quality evidence). The overall risk of bias was low, apart from high-risk for blinding of participants and study personnel. None of the included studies reported any information relating to adverse effects., Authors' Conclusions: Only four small RCTs with 274 participants (three in inpatient rehabilitation and one in the community) have examined the efficacy of activity monitors for increasing physical activity after stroke. Although these studies showed activity monitors could be incorporated into practice, there is currently not enough evidence to support the use of activity monitors to increase physical activity after stroke.

Introduction: Gait speed is recognized as an important predictor of adverse outcomes in older people. However, it is unknown whether other more complex mobility tasks are better predictors of such outcomes., Objective: To examine a range of clinic-based mobility tests and determine which were most strongly associated with measures of community performance and risk (CP&R)., Design: Cross-sectional study., Setting: Central Control Mobility and Aging Study, Westchester County, New York., Participants: Aged ≥65 years (n = 424)., Methods: Clinic-based mobility measures included gait speed measured during normal and dual-task conditions, the Floor Maze Immediate and Delay tasks, and stair ascending and descending. CP&R measures were self-reported by the use of standardized questionnaires and classified into measures of performance (distance walked, travel outside one's home [life space], activities of daily living, and participation in cognitive leisure activities) or risk (balance confidence, fear of falling, and past falls). Linear and logistic regression were used to examine associations between the clinic-based mobility measures and CP&R measures adjusting for covariates., Results: The mean age of the sample was 77.8 (SD 6.4) years, and 55.2% (n = 234) were female. In final models, faster normal walking speed was most strongly associated with 5 of the 7 community measures (greater distance walked, greater life space, better activities of daily living function, higher balance confidence, and less fear of falling; all P < .05). More complex tasks (walking while talking and maze immediate) were associated with cognitive leisure activity (P < .05), and ascending stairs was the only measure associated with a history of falls (P < .05)., Conclusion: Normal walking speed is a simple and inexpensive clinic-based mobility test that is associated with a wide range of CP&R measures. In addition, poorer performance ascending stairs may assist in identifying those at risk of falls. Poorer performance in more complex mobility tasks (walking while talking and maze immediate) may suggest inability to participate in cognitive leisure activities., Level of Evidence: III., (Copyright © 2018 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.)

Background: Exercise has established benefits following stroke. We aimed to describe self-reported exercise 5 and 10 years after stroke, change in exercise over time, and to identify factors associated with long-term exercise., Methods: Data on exercise (defined as 20 minutes' duration, causing sweating and increased heart rate) were obtained by questionnaire from a population-based stroke incidence study with 10-year follow-up. For change in exercise between 5 and 10 years (n = 276), we created 4 categories of exercise (no exercise, ceased exercising, commenced exercising, continued exercising). Multinomial regression determined associations between exercise categories and exercising before stroke, receiving exercise advice and functional ability and demographic factors., Results: The prevalence of exercise at 5 years (n = 520) was 18.5% (n = 96) (mean age 74.7 [standard deviation {SD} 14] years, 50.6% male) and 24% (n = 78) at 10 years. In those with data at both 5 and 10 years (mean age 69 [standard deviation 14] years, 52.9% male), 15% (n = 42) continued exercising, 10% (n = 27) commenced exercising, 14% (n = 38) ceased exercising, and 61% (n = 169) reported no exercise. Continued exercise was associated with younger age (relative risk [RR] .47 95% confidence interval [CI] .25-0.89), greater Barthel score (RR 2.97 95% CI 1.00-8.86), independent walking (RR 2.32 95% CI 1.16-4.68), better quality of life (RR 10.9 95% CI 2.26-52.8), exercising before stroke (RR 16.0 95%CI 4.98-51.5), and receiving advice to exercise (RR 2.99 95% CI 1.73-5.16)., Conclusions: Few people exercise after stroke and fewer commence exercise long term. Innovative interventions to promote and maintain exercise are required after stroke., (Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.)

The aims of this study were to (1) determine if older people at their fast walking speed (FWS) are able to reach the speed required at pedestrian crossings (>1.2 m/s) and (2) determine the role of cognitive impairment on the ability to alter speed and walk quickly. Participants were recruited from the Angers Memory Clinic, France. Gait speed was assessed at preferred and FWS using a GAITRite walkway. Walking speed reserve (WSR) was calculated as the difference between FWS and preferred speeds. Participants were classified into cognitive stages (cognitively healthy, mild cognitive impairment, mild and moderate dementia) based on neuropsychological evaluations. The proportion of participants with a FWS of <1.2 m/s was reported. The association between cognitive stage and preferred, fast and walking speed reserve was assessed using multivariable regression, adjusting for covariates. The mean age of the sample (n = 681) was 73.3 (SD 5.8) years. At preferred speed 73.7%, and at FWS 12.8%, of participants had speeds less than 1.2 m/s. Poorer cognitive stage was associated with slower preferred speed (β -0.08, 95% CI -0.10, -0.06), FWS (β -0.13, 95% CI -0.16, -0.10) and also with smaller WSR (m/s) (β -0.05, 95% CI -0.07, -0.03), but not WSR (%) (β -1.73, 95% CI -4.38, 0.93). In older people, worse stages of cognitive impairment were associated with poorer ability to increase speed and walk quickly. Such limitations may result in reduced ability to access the community.

Background: Greater volume of cerebral white matter hyperintensities (WMH) of presumed vascular origin may affect postural control and gait. WMH measured at one time point predicts an increased risk of incident multiple falls. However, it is unknown whether WMH progression increases falls risk. We hypothesized that the progression of WMH would be associated with a greater risk of multiple falls., Methods: A population-based sample aged more than 60 years was randomly selected from the electoral roll and followed up 2.5 years apart with two phases of measurement. Magnetic resonance imaging scans from both time points were subjected to automated segmentation to derive WMH volumes. Falls were recorded prospectively over 12 months after the second magnetic resonance imaging measurement. A generalized linear model was used to estimate the relative risk of multiple falls associated with WMH progression adjusted for confounders., Results: There were 187 people (mean age 70.4, SD 6.5) with a mean follow-up of 2.5 (SD 0.4) years. Over 12 months, 35 (18.7%) participants reported multiple falls. A greater progression of WMH was associated with an increased risk of multiple falls (adjusted relative risk 1.30, 95% confidence interval 1.00-1.70, p = .05) independent of baseline WMH volume, duration of follow-up, age, sex, and total intracranial volume. This association was unchanged when adjusted for medical history, peripheral sensorimotor factors, gait speed, cognition, medications, mood, and magnetic resonance imaging infarcts., Conclusion: Greater WMH progression independently increased the risk of multiple falls. Interventions to slow the progression of WMH may be successful in reducing this risk., (© The Author 2014. 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.)