Prospective associations between pain at multiple sites and falls among community-dwelling older Australians.

BACKGROUND: Pain at multiple sites is prevalent among older people. However, studies investigating the relationship between pain and falls focus largely on single-site pain. AIM: To examine the association between pain at multiple sites and falls among community-dwelling older Australians. METHODS: Participants aged >60 years were randomly selected from the electoral roll. Falls were recorded prospectively over 12 months. Pain at multiple sites was assessed using a questionnaire. The total number of painful sites was calculated. Widespread pain was defined as pain in the upper limb, lower limb and in the axial skeletal region, with moderate to severe pain in at least one region. Log multinomial regression, with adjustment for confounders, was used to estimate whether widespread pain or number of painful sites increased the risk of a single (one fall) and multiple falls (≥2 falls). RESULTS: There were 299 participants (43% women; mean age 72 ± 7.0 years). The mean (standard deviation) of falls was 0.8 ± 1.5. The frequencies of single and multiple falls were 23% (n = 68) and 16% (n = 49) respectively. A higher number of painful sites was associated with an elevated risk of a single fall (relative risk (RR) = 1.08; 95% confidence interval (CI): 0.96-1.27) and multiple falls (RR = 1.20; 95% CI: 1.02-1.41). However, the risk of multiple, but not single fall was substantial and statistically significant. Furthermore, compared with those without pain, individuals with widespread pain had an elevated risk of single (RR = 1.87; 95% CI: 0.80-5.09) and multiple falls (RR = 3.94; 95% CI: 1.15-13.51). However, the magnitude of effects of single fall was smaller and not statistically significant. CONCLUSIONS: Falls risk should be ascertained for older people with pain, irrespective of whether they present with a single or multiple sites pain. Nevertheless, older adults with multisite pain may require additional attention as they appear to have a significantly elevated risk of multiple falls.

Uncovering healthcare staff attitudes to the rapid deployment of telehealth in Victoria, 2020-2021: a 12-month telehealth experience.

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.

The Role of Daily Step Count in Determining Risk Factors for Falls.

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.

Longitudinal associations between falls and future risk of cognitive decline, the Motoric Cognitive Risk syndrome and dementia: the Einstein Ageing Study.

BACKGROUND: falls share risk factors with cognitive decline but whether falls predict cognitive decline, pre-dementia syndromes and dementia is poorly understood. OBJECTIVES: this study aimed to examine if falls are associated with cognitive decline in specific domains and the risk of Motoric Cognitive Risk (MCR) syndrome and dementia. DESIGN: cross-sectional study. METHODS: in older people (age 80.6 ± 5.3 years) free of dementia at baseline, the number of falls (none, one or multiple) during the year before enrolment and the first year of follow-up (exposure) were recorded. Decline in specific cognitive functions (global cognition, episodic verbal memory, verbal fluency, working memory, response inhibition and processing speed-attention), incident MCR and incident dementia were outcome measures. Linear mixed effects models were used to examine the associations between falls and cognitive decline, adjusting for confounders. Cox proportional hazards models were used to determine if falls predicted risk of incident MCR or dementia. RESULTS: of 522 eligible participants, 140 had a single fall and 70 had multiple falls. Multiple falls were associated with a greater decline in global cognition, episodic memory, verbal fluency and processing speed-attention compared to those with no falls (P < 0.05). Over a median follow-up of 1.0 years 36 participants developed MCR and 43 participants developed dementia. Those with multiple falls had a two-fold increased risk of MCR compared to those with no falls, but no increased risk of developing dementia. CONCLUSIONS: multiple falls may be an important marker to identify older people at greater risk of future cognitive decline and incident MCR.

Association between socioeconomic status and joint replacement of the hip and knee: a population-based cohort study of older adults in Tasmania.

BACKGROUND: A socioeconomic gradient exists in the utilisation of total hip replacements (THR) and total knee replacements (TKR) for osteoarthritis. However, the relations between socioeconomic status (SES) and time to THR or TKR is unknown. AIM: To describe the association between SES and time to THR and TKR. METHODS: One thousand and seventy-two older adults residing in Tasmania, Australia, were studied. Incident primary THR and TKR were determined by data linkage to the Australian Orthopaedic Association National Joint Replacement Registry. At baseline, each participant's area-level SES was determined using the Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) from the Australian Bureau of Statistics' 2001 census data. The IRSAD was analysed in two ways: (i) categorised into quartiles, whereby quartile 1 represented the most socioeconomically disadvantaged group; and (ii) the cohort dichotomised at the quartile 1 cut-point. RESULTS: The mean age was 63.0 (±7.5) years and 51% were women. Over the median follow up of 12.9 (interquartile range: 12.2-13.9) years, 56 (5%) participants had a THR and 79 (7%) had a TKR. Compared with the most disadvantaged quartile, less disadvantaged participants were less likely to have a THR (i.e. less disadvantaged participants had a longer time to THR; hazard ratio (HR): 0.56; 95% confidence interval (CI) 0.32, 1.00) but not TKR (HR: 0.90; 95% CI 0.53, 1.54). However, the former became non-significant after adjustment for pain and radiographic osteoarthritis, suggesting that the associations may be mediated by these factors. CONCLUSIONS: The present study suggests that time to joint replacement was determined according to the symptoms/need of the participants rather than their SES.

Case-Fatality and Functional Outcome after Subarachnoid Hemorrhage (SAH) in INternational STRoke oUtComes sTudy (INSTRUCT).

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.

The Associations Between Grey Matter Volume Covariance Patterns and Gait Variability-The Tasmanian Study of Cognition and Gait.

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.

An Exploration of Sedentary Behavior Patterns in Community-Dwelling People With Stroke: A Cluster-Based Analysis.

BACKGROUND AND PURPOSE: Long periods of daily sedentary time, particularly accumulated in long uninterrupted bouts, are a risk factor for cardiovascular disease. People with stroke are at high risk of recurrent events and prolonged sedentary time may increase this risk. We aimed to explore how people with stroke distribute their periods of sedentary behavior, which factors influence this distribution, and whether sedentary behavior clusters can be distinguished? METHODS: This was a secondary analysis of original accelerometry data from adults with stroke living in the community. We conducted data-driven clustering analyses to identify unique accumulation patterns of sedentary time across participants, followed by multinomial logistical regression to determine the association between the clusters, and the total amount of sedentary time, age, gender, body mass index (BMI), walking speed, and wake time. RESULTS: Participants in the highest quartile of total sedentary time accumulated a significantly higher proportion of their sedentary time in prolonged bouts (P < 0.001). Six unique accumulation patterns were identified, all of which were characterized by high sedentary time. Total sedentary time, age, gender, BMI, and walking speed were significantly associated with the probability of a person being in a specific accumulation pattern cluster, P < 0.001 - P = 0.002. DISCUSSION AND CONCLUSIONS: Although unique accumulation patterns were identified, there is not just one accumulation pattern for high sedentary time. This suggests that interventions to reduce sedentary time must be individually tailored.Video Abstract available for more insight from the authors (see the Video Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A343).

Rapid implementation of telehealth in geriatric outpatient clinics due to COVID-19.

The COVID-19 pandemic has resulted in the rapid implementation of telehealth. However, little is known about its suitability for the older population. We evaluated the use of telehealth in geriatric outpatient clinics. Half of the appointments needed to be re-scheduled due to language barrier, poor connection, hard of hearing and inability to perform assessments. Advantages included time efficiency and ability to visualise the home. Preference for the future was initial appointments as face-face, but reviews as either telehealth or face-face.

Adherence to the Australian Dietary Guidelines Is Not Associated with Brain Structure or Cognitive Function in Older Adults.

BACKGROUND: Cognitive dysfunction is common in older adults, particularly in those with type 2 diabetes (T2D). Higher adherence to the Dietary Guidelines for Americans is associated with better brain health. However, it is unclear if adherence to the Australian Dietary Guidelines (ADG) is associated with cognition or brain structure in older adults. OBJECTIVE: The aims of this study were to 1) examine the relation between adherence to the ADG, cognition, and brain MRI and 2) determine whether T2D modifies any associations. METHODS: The Cognition and Diabetes in Older Tasmanians Study is a cross-sectional study in 688 people (n = 343 with T2D) aged 55-90 y. A validated 80-item food-frequency questionnaire was used to assess dietary intake. Adherence to the 2013 ADG was estimated using the Dietary Guidelines Index (DGI). Cognitive function in multiple domains was assessed with a comprehensive battery of neuropsychological tests and brain structure with MRI. Multivariable linear models were used to assess the associations between DGI, cognitive z scores, and brain structure. Effect modification for T2D was examined with a DGI × T2D product term. RESULTS: The mean age of the sample was 69.9 y (SD: 7.4 y), with 57.1% men. The mean DGI was 54.8 (SD: 10.7; range: 24.1-84.6). No associations were observed between the Australian DGI and cognition or brain MRI measures. T2D did not modify any associations (P > 0.05). CONCLUSIONS: This is the first study to investigate associations between adherence to the ADG and brain health in the older adults with and without T2D. Future prospective studies are required to clarify if there are long-term associations.

Sex differences in aneurysmal subarachnoid haemorrhage (aSAH): aneurysm characteristics, neurological complications, and outcome.

BACKGROUND: Women are over-represented in aSAH cohorts, but whether their outcomes differ to men remains unclear. We examined if sex differences in neurological complications and aneurysm characteristics contributed to aSAH outcomes. METHODS: In a retrospective cohort (2010-2016) of all aSAH cases across two hospital networks in Australia, information on severity, aneurysm characteristics and neurological complications (rebleed before/after treatment, postoperative stroke < 48 h, neurological infections, hydrocephalus, seizures, delayed cerebral ischemia [DCI], cerebral infarction) were extracted. We estimated sex differences in (1) complications and aneurysm characteristics using chi square/t-tests and (2) outcome at discharge (home, rehabilitation or death) using multinomial regression with and without propensity score matching on prestroke confounders. RESULTS: Among 577 cases (69% women, 84% treated) aneurysm size was greater in men than women and DCI more common in women than men. In unadjusted log multinomial regression, women had marginally greater discharge to rehabilitation (RRR 1.15 95% CI 0.90-1.48) and similar likelihood of in-hospital death (RRR 1.02 95% CI 0.76-1.36) versus discharge home. Prestroke confounders (age, hypertension, smoking status) explained greater risk of death in women (rehabilitation RRR 1.13 95% CI 0.87-1.48; death RRR 0.75 95% CI 0.51-1.10). Neurological complications (DCI and hydrocephalus) were covariates explaining some of the greater risk for poor outcomes in women (rehabilitation RRR 0.87 95% CI 0.69-1.11; death RRR 0.80 95% CI 0.52-1.23). Results were consistent in propensity score matched models. CONCLUSION: The marginally poorer outcome in women at discharge was partially attributable to prestroke confounders and complications. Improvements in managing complications could improve outcomes.

Type 2 diabetes mellitus, brain atrophy and cognitive decline in older people: a longitudinal study.

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 (ß -0.06; 95% CI -0.09, -0.02) and verbal fluency (ß -0.03; 95% CI -0.06, -0.00). Although people with diabetes had lower brain (ß -14.273; 95% CI -21.197, -6.580) and greater ventricular (ß 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).

Dietary Patterns Are Not Associated with Brain Atrophy or Cerebral Small Vessel Disease in Older Adults with and without Type 2 Diabetes.

BACKGROUND: Unhealthy dietary patterns (DPs) are associated with poorer cognition, but few studies have investigated the underlying brain structural mechanisms. OBJECTIVE: We aimed to examine the relations between DPs, brain structure, and cognition in older people with and without type 2 diabetes. METHODS: This cross-sectional study consisted of a sample of people with (n = 343) and without type 2 diabetes (n = 346) aged 55-90 y. The 80-item Cancer Council of Victoria FFQ was used to assess dietary intake. Two DPs (prudent and traditional) for people with type 2 diabetes and 3 DPs (prudent, traditional, and Western) for those without type 2 diabetes were derived using principal component analysis. Neuropsychological tests assessed 6 cognitive domains. Brain MRI was performed to obtain gray, white matter, and hippocampal volumes and markers of small vessel disease (microbleeds, infarcts, and white matter hyperintensities). Multivariable linear regression was used to assess the cross-sectional associations between DPs, brain MRI, and cognitive variables. RESULTS: For those without type 2 diabetes, higher adherence to the Western DP was associated with lower gray matter volume (ß = -3.03 95% CI: -5.67, -0.38; P = 0.03). The addition of a cardiovascular risk score, mood, and physical activity weakened associations such that they were no longer significant (ß = -1.97 (95% CI: -4.68, 0.74) P = 0.15) for the Western DP. There were no significant associations for the other DPs in people with and without type 2 diabetes. CONCLUSIONS: In this cross-sectional study, DPs were not independently associated with brain structure in people with or without type 2 diabetes. Future prospective studies are needed to clarify the role of vascular risk factors on associations between DPs and brain health.

Diabetes Therapies for Dementia.

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.

Activity monitors for increasing physical activity in adult stroke survivors.

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.

Go Home, Sit Less: The Impact of Home Versus Hospital Rehabilitation Environment on Activity Levels of Stroke Survivors.

OBJECTIVE: To examine whether change in rehabilitation environment (hospital or home) and other factors influence time spent sitting upright and walking after stroke. DESIGN: Observational study. SETTING: Two inpatient rehabilitation units and community residences following discharge. PARTICIPANTS: Participants (N=34) with stroke were recruited. MAIN OUTCOME MEASURE: An activity monitor was worn continuously for 7 days during the final week in the hospital and the first week at home. Other covariates included mood, fatigue, physical function, pain, and cognition. Linear mixed models were performed to examine the associations between the environment (exposure) and physical activity levels (outcome) in the hospital and at home. Interaction terms between the exposure and other covariates were added to the model to determine whether they modified activity with change in environment. RESULTS: The mean age of participants was 68±13 years and 53% were male. At home, participants spent 45 fewer minutes sitting (95% CI -84.8, -6.1; P=.02), 45 more minutes upright (95% CI 6.1, 84.8; P=.02), and 12 more minutes walking (95% CI 5, 19; P=.001), and completed 724 additional steps (95% CI 199, 1250; P=.01) each day compared to in the hospital. Depression at discharge predicted greater sitting time and less upright time (P=.03 respectively) at home. CONCLUSIONS: Environmental change from hospital to home was associated with reduced sitting time and increased the time spent physically active, though depression modified this change. The rehabilitation environment may be a target to reduce sitting and promote physical activity.

The efficacy of interactive, motion capture-based rehabilitation on functional outcomes in an inpatient stroke population: a randomized controlled trial.

OBJECTIVE: To compare the efficacy of novel interactive, motion capture-rehabilitation software to usual care stroke rehabilitation on physical function. DESIGN: Randomized controlled clinical trial. SETTING: Two subacute hospital rehabilitation units in Australia. PARTICIPANTS: In all, 73 people less than six months after stroke with reduced mobility and clinician determined capacity to improve. INTERVENTIONS: Both groups received functional retraining and individualized programs for up to an hour, on weekdays for 8-40 sessions (dose matched). For the intervention group, this individualized program used motivating virtual reality rehabilitation and novel gesture controlled interactive motion capture software. For usual care, the individualized program was delivered in a group class on one unit and by rehabilitation assistant 1:1 on the other. MAIN MEASURES: Primary outcome was standing balance (functional reach). Secondary outcomes were lateral reach, step test, sitting balance, arm function, and walking. RESULTS: Participants (mean 22 days post-stroke) attended mean 14 sessions. Both groups improved (mean (95% confidence interval)) on primary outcome functional reach (usual care 3.3 (0.6 to 5.9), intervention 4.1 (-3.0 to 5.0) cm) with no difference between groups ( P = 0.69) on this or any secondary measures. No differences between the rehabilitation units were seen except in lateral reach (less affected side) ( P = 0.04). No adverse events were recorded during therapy. CONCLUSION: Interactive, motion capture rehabilitation for inpatients post stroke produced functional improvements that were similar to those achieved by usual care stroke rehabilitation, safely delivered by either a physical therapist or a rehabilitation assistant.

Self-Reported Exercise Prevalence and Determinants in the Long Term After Stroke: The North East Melbourne Stroke Incidence Study.

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.

Program Evaluation and Refinement of the "Safe Functional Home Exercise" Program for Improving Physical Activity in Older People with Dementia Who Receive Home Care.

INTRODUCTION: People with dementia who receive home care have low levels of physical activity participation. OBJECTIVES: To evaluate and refine a co-designed exercise program for home care clients with dementia, led by trained care support workers. METHODS: An action research cycle whereby support workers, clients and carers (each n = 26) from the "Safe Functional Home Exercise" feasibility study were invited to complete an evaluation survey. Participants rated statements using Likert-style scales on (1) staff training, (2) staff confidence, (3) program support and (4) satisfaction. The participants could provide comments for situations that affected exercise performance, suggested improvements for staff training, program support and exercises. The co-design panel (original program designers) was reconvened to refine the exercise program. RESULTS: Support workers (n = 19), clients (n = 15) and carers (n = 13) returned their surveys. Support workers (74-90%), carers (77-92%) and clients (100%) rated program support positively and were overall satisfied. Support workers (>80%) agreed that the training course was relevant and were confident in delivering the exercises to clients. Situations included "Covid isolation", the client's "poor medical condition" and "mood fluctuations" that made exercising difficult. Improvements included "making a client video" and "providing tips to motivate clients". The co-design panel modified the exercise program. CONCLUSIONS: The "Safe Functional Home Exercise" program is the first exercise program co-designed for people with dementia. It is well accepted by support workers, people with dementia and carers. Utilising support workers to facilitate physical activity participation is potentially low-cost and scalable in home care. Future studies are needed to evaluate the refined program in home care.