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Anne G Vinsnes1, Jorunn L Helbostad2, Signe Nyrønning3, Gene E Harkless1,4, Randi Granbo5, Arnfinn Seim61Faculty of Nursing, Sør-Trøndelag University College, 2Department of Neuroscience, Norwegian University of Science and Technology, 3Søbstad Community Hospital and Teaching Nursing Home, Trondheim, Norway; 4University of New Hampshire, College of Health and Social Services, Nursing Faculty, Durham, New Hampshire, USA; 5Department of Physiotherapy, Sør-Trøndelag University College, 6Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, NorwayBackground: Residents in nursing homes (NHs) are often frail older persons who have impaired physical activity. Urinary incontinence (UI) is a common complaint for residents in NHs. Reduced functional ability and residence in NHs are documented to be risk factors for UI.Objective: To investigate if an individualized training program designed to improve activity of daily living (ADL) and physical capacity among residents in nursing homes has any impact on UI.Materials and methods: This randomized controlled trial was a substudy of a Nordic multicenter study. Participants had to be >65 years, have stayed in the NH for more than 3 months and in need of assistance in at least one ADL. A total of 98 residents were randomly allocated to either a training group (n = 48) or a control group (n = 50) after baseline registrations. The training program lasted for 3 months and included accommodated physical activity and ADL training. Personal treatment goals were elicited for each subject. The control group received their usual care. The main outcome measure was UI as measured by a 24-hour pad-weighing test. There was no statistically significant difference between the groups on this measure at baseline (P = 0.15). Changes were calculated from baseline to 3 months after the end of the intervention.Results: Altogether, 68 participants were included in the analysis, 35 in the intervention group and 33 in the control group. The average age was 84.3 years. The 3 months' postintervention adjusted mean difference between groups according to amount of leakage was 191 g (P = 0.03). This result was statistically significant after adjusting for baseline level, age, sex, and functional status. The leakage increased in residents not receiving the experimental intervention, while UI in the training group showed improvement.Conclusion: The intervention group had significant better results compared with the control group after an individualized training program designed to improve ADL and physical capacity. Further studies are needed to evaluate the effect of a goal-oriented physical training program toward NH residents UI complaints.Keywords: effect study, nursing homes, residents, physical training program, urinary incontinence

Purpose: Physical activity (PA) is an important adjuvant component in all phases of the cancer disease and PA is important for better functioning, coping with the situation and overall quality of life (QoL). In order to achieve better scientific knowledge of the effect of PA in cancer survivors, it is of paramount importance to have validated and feasible assessment tools for PA.Methods: This validation study, which was part of an open intervention study, used a cross-sectional and a longitudinal design. The HUNT 1 physical activity questionnaire (HUNT 1 PA-Q) was compared to the International Physical Activity Questionnaire (IPAQ) and aerobic capacity. The participants were cancer survivors with different diagnoses attending an inpatient rehabilitation program partly focusing on physical training.Results: The correlations between HUNT 1 PA-Q and IPAQ were 0.41 at pre-test and 0.57 at post-test, and sensitivity to change (effect size) was 0.42 for both questionnaires. VO(2 max) demonstrated high sensitivity to change (0.68) and low correlations with HUNT 1 PA-Q (0.30 at pre-test and 0.21 at post-test). There were 13 incomplete HUNT 1 PA-Q forms and 48 incomplete IPAQ forms during the study period.Conclusions: HUNT 1 PA-Q is considered suitable for use in cancer survivors and should be preferred to IPAQ because it was easier to fill in and provided more complete data. Aerobic capacity measures other aspect of PA and should be used as a supplement to PA questionnaire when the aim is to capture health effects related to aerobic capacity. [ABSTRACT FROM AUTHOR]

Purpose: Mobility is an important aspect of physical functioning, but feasible and validated self-report assessment instruments for palliative patients are lacking. This study is a part of the European Palliative Research Network research programme, aiming to develop an internationally endorsed assessment tool for symptoms and functioning in palliative cancer care. The specific aim of the present study is to assess psychometric properties of a mobility item bank, with regards to uni-dimensionality, functional coverage, redundant items and gaps in the scale.Methods: A cross-sectional study with 604 responses from palliative cancer and 186 from chronic pain patients (mean age 59 ± 14 years, 55% female) was performed. A tablet computer with a touch- sensitive screen was used for data collection. An item pool of 21 mobility items, ranging from sitting without support to running were presented in random order, each scored on a four-category scale rating the difficulty in performing the activity. Psychometric properties were assessed by exploratory factor analysis, internal consistency and item response theory.Results: The mobility scale can be regarded as uni-dimensional and has good internal consistency (Cronbach's alpha  =  0.97). Items had a wide functional coverage from low to high functioning. Two items were with poor psychometric properties and two redundant items were removed. There were no obvious gaps in the scale.Conclusions: The psychometric properties of the scale are good and the next step is to make a pre-programmed version of the scale to be used in a pan-European study. [ABSTRACT FROM AUTHOR]

Background and aims: Nursing home residents constitute a frail, multi-diseased and heterogeneous group. As physical activity is essential for the preservation of function, personalized training and activities are of great importance. The main objective of this study was to describe the influence of an indiVidually tailored intervention program, in a nursing home setting, on physical capacity, degree of dependence in Activities of Daily LiVing (ADL), long-term participation in physical ancVor daily activities, and self-rated wellbeing. The aim of the present work is to describe the overall design of the study. Methods: Nursing homes in Sweden, Norway and Denmark were involved, and 322 residents were randomized to either Intervention or Control groups. The intervention lasted for three months and consisted of physical and daily activities, led by physiotherapists and occupational therapists, and was built on their evaluations and on the goals expressed by each resident. Tests of muscle strength, mobility, balance function and confidence, ADL, level of physical activity, wellbeing and cognitive function were performed at baseline, directly after the intervention period and three months later. Results: They will be presented in articles to follow. Conclusions: Although it isa great challenge to carry out an intervention study directed toward such a frail population, it is of great interest to find out whether individually tailored and enhanced activities can lead to decreased dependence in ADL and increased wellbeing. [ABSTRACT FROM AUTHOR]

Background: The main focus of rehabilitation following hip fracture is to regain mobility., Objectives: To estimate the progression of real-world mobility the first year after hip fracture using digital mobility outcomes., Design: An exploratory, prospective cohort study with pooled data from four previously conducted clinical trials., Setting and Subjects: We combined data from the Trondheim Hip Fracture Trial and Eva-Hip Trial in Trondheim, Norway, and the PROFinD 1 and PROFinD 2 trials in Stuttgart and Heidelberg, Germany, resulting in a sample of 717 hip fracture patients aged ≥65 years., Methods: Each of the trials assessed mobility using body-fixed sensors (activPAL) at three time points, collectively providing observations across the entire first year post-surgery. The following 24-h DMOs were calculated: total walking duration (minutes), maximum number of steps within a walking bout, and number of sit-to-stand-to-walk transfers. Continuous 1-year progression of the median, the 25th percentile, and the 75th percentile were estimated using quantile regression models with splines., Results: The dataset contained 5909 observation days. The median daily total walking duration increased until 36 weeks post-surgery reaching 40 min; daily maximum number of steps within a walking bout increased during the first eight weeks and then stabilized at less than 100 steps; daily sit-to-stand-to-walk transfers reached a plateau after 6 weeks with less than 40 transfers., Conclusions: The three DMOs progressed differently and attained plateau levels at varying times during the first year after hip fracture, indicating that these Digital Mobility Outcomes provide complementary information about different aspects of mobility recovery., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Introduction: Sex differences are commonly reported for hip fracture incidence rates and recovery. Current knowledge about mobility recovery after hip fracture involves clinical assessments of physical capacity or patient-reported outcomes. Information on mobility performance during daily life is missing but relevant to evaluate patients' recovery. Hence, it remains unclear whether sex differences exist in the longitudinal progression of mobility performance in hip fracture patients. To investigate this, we pooled data from four studies in Germany and Norway., Methods: In all studies, real-world mobility was assessed continuously over 1 to 7 days using a sensor fixed to the unaffected frontal thigh. All studies assessed mobility at different time points that were allocated to three distinct phases: Acute and post-acute phase (week 1-6), extended recovery (7-26), and long-term recovery (27-52). Sex-specific continuous trajectories of the median (50th percentile) as well as the 1st (25th percentile) and 3rd quartile (75th percentile) were estimated using quantile regression models with splines for daily walking and standing duration; number of sit-to-stand-to-walk transfers and walking bouts; mean walking bout duration; maximum number of steps per walking bout., Results: There were 5,900 valid observation days from n  = 717 participants (mean age = 83.4 years, SD 6.1). The majority was female (75.3%), with similar sex distribution across all studies. Demographics of both sexes were comparable, but a higher percentage of women was living alone (69.0% compared to 40.9% in men) and had experienced an indoor fall leading to the fracture (74.3% compared to 67.4% in men). There were clear sex differences in mobility recovery. Women improved their mobility faster than men, but men showed larger increases later in the year after surgery. At the end of the first year, both sexes reached comparable levels in almost all mobility parameters., Conclusion: We identified varying aspects of mobility recovery between men and women, i.e., timely development of mobility recovery shows different patterns. Our findings support the consideration of sex differences in planning and implementing rehabilitation measures for hip fracture patients and highlight the need to provide adapted support at different time points. The underlying mechanisms of these sex differences need further investigation., 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 © 2024 Jansen, Engdal, Peter, Helbostad, Taraldsen, Vereijken, Pfeiffer, Becker and Klenk.)

Objective: Postural control naturally declines with age, leading to an increased risk of falling. Within clinical settings, the deployment of balance assessments has become commonplace, facilitating the identification of postural instability and targeted interventions to forestall falls among older adults. Some studies have ventured beyond the controlled laboratory, leaving, however, a gap in our understanding of balance in real-world scenarios., Methods: Previously reported algorithms were used to build a finite-state machine (FSM) with four states: walking, turning, sitting, and standing. The FSM was validated against video annotations (gold standard) in an independent dataset with data collected on 20 older adults. Later, the FSM was applied to data from 168 community-dwelling older people in the InCHIANTI cohort who were evaluated both in the laboratory and then remotely in real-world conditions for a week. A 70/30 data split with recursive feature selection and resampling techniques was used to train and test four machine-learning models., Results: In identifying fallers, duration, distance, and mean frequency computed during standing in real-world settings revealed significant relationships with fall risk. Also, the best-performing model (Lasso Regression) built on real-world balance features had a higher area under the curve (AUC, 0.76) than one built on lab-based assessments (0.57)., Conclusion: Real-world balance features differ considerably from laboratory balance assessments (Romberg test) and have a higher predictive capacity for identifying patients at high risk of falling., Significance: These findings highlight the need to move beyond traditional laboratory-based balance measures and develop more sensitive and accurate methods for predicting falls.

Background: Despite substantial research evidence indicating the effectiveness of a range of interventions to prevent falls, uptake into routine clinical practice has been limited by several implementation challenges. The complexity of fall prevention in municipality health care underlines the importance of flexible implementation strategies tailored both to general determinants of fall prevention and to local contexts. This cluster-randomised trial (RCT) investigates the effectiveness of a tailored intervention to implement national recommendations on fall prevention among older home-dwelling adults compared to usual practice on adherence to the recommendations in health professionals., Methods: Twenty-five municipalities from four regions in Norway will be randomised to intervention or control arms. Each municipality cluster will recruit up to 30 health professionals to participate in the study as responders. The tailored implementation intervention comprises four components: (1) identifying local structures for implementation, (2) establishing a resource team from different professions and levels, (3) promoting knowledge on implementation and fall prevention and (4) supporting the implementation process. Each of these components includes several implementation activities. The Consolidated Framework for Implementation Research (CFIR) will be used to categorise determinants of the implementation process and the Expert Recommendations for Implementing Change (ERIC) will guide the matching of barriers to implementation strategies. The primary outcome measure for the study will be health professionals' adherence to the national recommendations on fall prevention measured by a questionnaire. Secondary outcomes include injurious falls, the feasibility of the intervention, the experiences of the implementation process and intervention costs. Measurements will be carried out at baseline in August 2023, post-intervention in May 2024 and at a follow-up in November 2024., Discussion: This study will provide evidence on the effectiveness, intervention costs and underlying processes of change of tailored implementation of evidence-based fall prevention recommendations., Trial Registration: The trial is registered in the Open Science Registry: https://doi.org/10.17605/OSF.IO/JQ9T5 . Registered: March 03, 2023., (© 2024. The Author(s).)

Background: There is limited evidence regarding predictors of functional trajectories after hip fracture. We aimed to identify groups with different trajectories of functional recovery the first year after hip fracture, and to determine predictors for belonging to such groups., Methods: This longitudinal study combined data from two large randomized controlled trials including patients with hip fracture. Participants were assessed at baseline, four and 12 months. We used the Nottingham Extended Activities of Daily Living (NEADL) as a measure of instrumental ADL (iADL) and Barthel Index for personal ADL (pADL). A growth mixture model was estimated to identify groups of patients following distinct trajectories of functioning. Baseline characteristics potentially predicting group-belonging were assessed by multiple nominal regression., Results: Among 726 participants (mean age 83.0; 74.7% women), we identified four groups of patients following distinct ADL trajectories. None of the groups regained their pre-fracture ADL. For one of the groups identified in both ADL outcomes, a steep decline in function was shown the first four months after surgery, and none of the groups showed functional recovery between four and 12 months after surgery., Conclusions: No groups regained their pre-fracture ADL. Some of the patients with relatively high pre-fracture function, had a steep ADL decline. For this group there is a potential for recovery, but more knowledge and research is needed in this group. These findings could be useful in uncovering groups of patients with different functioning after a hip fracture, and aid in discharge planning., Competing Interests: I. Saltvedt has performed Alzheimer a drug trial for Boehringer-Ingelheim 1346.0023. This trial was concluded in 2019. The remaining authors declare that they have no competing interests., (Copyright: © 2023 Dakhil et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: Falls have major implications for quality of life, independence, and cost of health services. Strength and balance training has been found to be effective in reducing the rate/risk of falls, as long as there is adequate fidelity to the evidence-based programme. The aims of this study were to (1) assess the feasibility of using the "Motivate Me" and "My Activity Programme" interventions to support falls rehabilitation when delivered in practice and (2) assess study design and trial procedures for the evaluation of the intervention., Methods: A two-arm pragmatic feasibility randomized controlled trial was conducted with five health service providers in the UK. Patients aged 50+ years eligible for a falls rehabilitation exercise programme from community services were recruited and received either (1) standard service with a smartphone for outcome measurement only or (2) standard service plus the "Motivate Me" and "My Activity Programme" apps. The primary outcome was feasibility of the intervention, study design, and procedures (including recruitment rate, adherence, and dropout). Outcome measures include balance, function, falls, strength, fear of falling, health-related quality of life, resource use, and adherence, measured at baseline, three-month, and six-month post-randomization. Blinded assessors collected the outcome measures., Results: Twenty four patients were randomized to control group and 26 to intervention group, with a mean age of 77.6 (range 62-92) years. We recruited 37.5% of eligible participants across the five clinical sites. 77% in the intervention group completed their full exercise programme (including the use of the app). Response rates for outcome measures at 6 months were 77-80% across outcome measures, but this was affected by the COVID-19 pandemic. There was a mean 2.6 ± 1.9 point difference between groups in change in Berg balance score from baseline to 3 months and mean 4.4 ± 2.7 point difference from baseline to 6 months in favour of the intervention group. Less falls (1.8 ± 2.8 vs. 9.1 ± 32.6) and less injurious falls (0.1 ± 0.5 vs. 0.4 ± 0.6) in the intervention group and higher adherence scores at three (17.7 ± 6.8 vs. 13.1 ± 6.5) and 6 months (15.2 ± 7.8 vs. 14.9 ± 6.1). There were no related adverse events. Health professionals and patients had few technical issues with the apps., Conclusions: The motivational apps and trial procedures were feasible for health professionals and patients. There are positive indications from outcome measures in the feasibility trial, and key criteria for progression to full trial were met., (© 2022 The Author(s). Published by S. Karger AG, Basel.)

Background: The spread of the coronavirus in spring 2020 led to a lockdown of physical activity (PA) offers. The aim of this study was to investigate how PA, as well as general and mental health, in community-dwelling older adults were affected by the COVID-19 restrictions in Norway., Methods: Invitation to participate in the study was sent via Facebook and the Norwegian Pensioners' Association. Inclusion criteria were being ≥ 65 years old and living at home. Participants completed a questionnaire either digitally or on paper in June-August 2020. The questionnaire included questions on PA, general health, and mental health both before (13th of March) and during lockdown., Results: We included 565 participants (mean age 74 ± 5.3 years, 60.4% female); almost 60% had a university degree, 84% reported performing PA more than once per week, and 20% reported a fall in the previous 12 months. The Wilcoxon signed-rank test indicated that the corona lockdown significantly reduced activity level (Z = -4.918, p < 0.001), general health (Z = -6,910, p < 0.001) and mental health (Z = -12.114, p < 0.001). Those who were less active during lockdown had higher odds of experiencing worse health than those who maintained their activity level, odds ratio: 9.36 (95% CI = 4.71-18.58, p < 0.001) for general health and 2.41 (95% CI = 1.52-3.83, p < 0.001) for mental health. Those who attended organized exercise offers before lockdown had higher odds of being less active during lockdown compared to those who did not exercise in an organized setting, odds ratio: 3.21 (95% CI = 2.17-5.76, p < 0.001)., Conclusions: In a relatively highly educated and active group of older participants, COVID-19 restrictions still negatively affected level of activity as well as general and mental health. These short-term decreases in activity level and health suggest that preventive actions and increased focus on measures to support older adults in maintaining an active lifestyle are needed., (© 2022. The Author(s).)

Background: The development of optimal strategies to treat impaired mobility related to ageing and chronic disease requires better ways to detect and measure it. Digital health technology, including body worn sensors, has the potential to directly and accurately capture real-world mobility. Mobilise-D consists of 34 partners from 13 countries who are working together to jointly develop and implement a digital mobility assessment solution to demonstrate that real-world digital mobility outcomes have the potential to provide a better, safer, and quicker way to assess, monitor, and predict the efficacy of new interventions on impaired mobility. The overarching objective of the study is to establish the clinical validity of digital outcomes in patient populations impacted by mobility challenges, and to support engagement with regulatory and health technology agencies towards acceptance of digital mobility assessment in regulatory and health technology assessment decisions., Methods/design: The Mobilise-D clinical validation study is a longitudinal observational cohort study that will recruit 2400 participants from four clinical cohorts. The populations of the Innovative Medicine Initiative-Joint Undertaking represent neurodegenerative conditions (Parkinson's Disease), respiratory disease (Chronic Obstructive Pulmonary Disease), neuro-inflammatory disorder (Multiple Sclerosis), fall-related injuries, osteoporosis, sarcopenia, and frailty (Proximal Femoral Fracture). In total, 17 clinical sites in ten countries will recruit participants who will be evaluated every six months over a period of two years. A wide range of core and cohort specific outcome measures will be collected, spanning patient-reported, observer-reported, and clinician-reported outcomes as well as performance-based outcomes (physical measures and cognitive/mental measures). Daily-living mobility and physical capacity will be assessed directly using a wearable device. These four clinical cohorts were chosen to obtain generalizable clinical findings, including diverse clinical, cultural, geographical, and age representation. The disease cohorts include a broad and heterogeneous range of subject characteristics with varying chronic care needs, and represent different trajectories of mobility disability., Discussion: The results of Mobilise-D will provide longitudinal data on the use of digital mobility outcomes to identify, stratify, and monitor disability. This will support the development of widespread, cost-effective access to optimal clinical mobility management through personalised healthcare. Further, Mobilise-D will provide evidence-based, direct measures which can be endorsed by regulatory agencies and health technology assessment bodies to quantify the impact of disease-modifying interventions on mobility., Trial Registration: ISRCTN12051706., Competing Interests: McRoberts is the manufacturer of the DynaPort. JE is employee of McRoberts. CB has done consultation work for Philipps Healthcare, Bosch Healthcare, Eli Lilly and Gait-up; he has received speaker honoraria from Amgen, Pfizer and Nutricia. LS is working as the Chief Technical Officer for Rölke Pharma. JMH reports having submitted a patent for assessment of mobility using wearable sensors in 400 Parkinson’s disease; the intellectual property rights 401 are held by the Tel Aviv Medical Center. GC has received consulting and speaking fees from Novartis, Sanofi Genzyme, Genzyme Corporation, Merck KGgA, Merck Serono SpA, Celgene Group, F. Hoffman-La Roche, Almirall SpA, Janssen. MFG is a full-time employee of Teva Pharmaceuticals. RRM is a full-time employee of The Novartis Institutes for BioMedical Research. All other authors declare that they have no competing interests.

Context: Long-term adherence to physical activity (PA) interventions is challenging. The Lifestyle-integrated Functional Exercise programmes were adapted Lifestyle-integrated Functional Exercise (aLiFE) to include more challenging activities and a behavioural change framework, and then enhanced Lifestyle-integrated Functional Exercise (eLiFE) to be delivered using smartphones and smartwatches., Objectives: To (1) compare adherence measures, (2) identify determinants of adherence and (3) assess the impact on outcome measures of a lifestyle-integrated programme., Design, Setting and Participants: A multicentre, feasibility randomised controlled trial including participants aged 61-70 years conducted in three European cities., Interventions: Six-month trainer-supported aLiFE or eLiFE compared with a control group, which received written PA advice., Outcome Measures: Self-reporting adherence per month using a single question and after 6-month intervention using the Exercise Adherence Rating Scale (EARS, score range 6-24). Treatment outcomes included function and disability scores (measured using the Late-Life Function and Disability Index) and sensor-derived physical behaviour complexity measure. Determinants of adherence (EARS score) were identified using linear multivariate analysis. Linear regression estimated the association of adherence on treatment outcome., Results: We included 120 participants randomised to the intervention groups (aLiFE/eLiFE) (66.3±2.3 years, 53% women). The 106 participants reassessed after 6 months had a mean EARS score of 16.0±5.1. Better adherence was associated with lower number of medications taken, lower depression and lower risk of functional decline. We estimated adherence to significantly increase basic lower extremity function by 1.3 points (p<0.0001), advanced lower extremity function by 1.0 point (p<0.0001) and behavioural complexity by 0.008 per 1.0 point higher EARS score (F(3,91)=3.55, p=0.017) regardless of group allocation., Conclusion: PA adherence was associated with better lower extremity function and physical behavioural complexity. Barriers to adherence should be addressed preintervention to enhance intervention efficacy. Further research is needed to unravel the impact of behaviour change techniques embedded into technology-delivered activity interventions on adherence., Trial Registration Number: NCT03065088., Competing Interests: Competing interests: SM and LC own a share in the spin-off company of the University of Bologna, mHealth Technologies s.r.l. The remaining 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., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.)

Introduction: Postoperative delirium is common in older cardiac surgery patients and associated with negative short-term and long-term outcomes. The alpha-2-adrenergic receptor agonist dexmedetomidine shows promise as prophylaxis and treatment for delirium in intensive care units (ICU) and postoperative settings. Clonidine has similar pharmacological properties and can be administered both parenterally and orally. We aim to study whether repurposing of clonidine can represent a novel treatment option for delirium, and the possible effects of dexmedetomidine and clonidine on long-term cognitive trajectories, motor activity patterns and biomarkers of neuronal injury, and whether these effects are associated with frailty status., Methods and Analysis: This five-centre, double-blind randomised controlled trial will include 900 cardiac surgery patients aged 70+ years. Participants will be randomised 1:1:1 to dexmedetomidine or clonidine or placebo. The study drug will be given as a continuous intravenous infusion from the start of cardiopulmonary bypass, at a rate of 0.4 µg/kg/hour. The infusion rate will be decreased to 0.2 µg/kg/hour postoperatively and be continued until discharge from the ICU or 24 hours postoperatively, whichever happens first.Primary end point is the 7-day cumulative incidence of postoperative delirium (Diagnostic and Statistical Manual of Mental Disorders, fifth edition). Secondary end points include the composite end point of coma, delirium or death, in addition to delirium severity and motor activity patterns, levels of circulating biomarkers of neuronal injury, cognitive function and frailty status 1 and 6 months after surgery., Ethics and Dissemination: This trial is approved by the Regional Committee for Ethics in Medical Research in Norway (South-East Norway) and by the Norwegian Medicines Agency. Dissemination plans include publication in peer-reviewed medical journals and presentation at scientific meetings., Trial Registration Number: NCT05029050., Competing Interests: Competing interests: HZ has served at scientific advisory boards and/or as a consultant for Alector, Eisai, Denali, Roche Diagnostics, Wave, Samumed, Siemens Healthineers, Pinteon Therapeutics, Nervgen, AZTherapies, CogRx and Red Abbey Labs, has given lectures in symposia sponsored by Cellectricon, Fujirebio, Alzecure and Biogen and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Programme (outside submitted work). AJCS is advisor for Prolira, a start-up company that develops an EEG-based delirium monitor. Any (future) profits from EEG-based delirium monitoring will be used for future scientific research only. GS has participated in one advisory meeting for Biogen. HMN has received lecture fees from Vifor Pharma and Orion Pharma. The other authors declare that they have no competing interests., (© 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.)

Aims: The aim of this study was to compare the effects of 5 years of supervised exercise training (ExComb), and the differential effects of subgroups of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT), with control on the cardiovascular risk profile in older adults., Methods and Results: Older adults aged 70-77 years from Trondheim, Norway (n = 1567, 50% women), able to safely perform exercise training were randomized to 5 years of two weekly sessions of HIIT [∼90% of peak heart rate (HR), n = 400] or MICT (∼70% of peak HR, n = 387), together forming ExComb (n = 787), or control (instructed to follow physical activity recommendations, n = 780). The main outcome was a continuous cardiovascular risk score (CCR), individual cardiovascular risk factors, and peak oxygen uptake (VO2peak). CCR was not significantly lower [-0.19, 99% confidence interval (CI) -0.46 to 0.07] and VO2peak was not significantly higher (0.39 mL/kg/min, 99% CI -0.22 to 1.00) for ExComb vs. control. HIIT showed higher VO2peak (0.76 mL/kg/min, 99% CI 0.02-1.51), but not lower CCR (-0.32, 99% CI -0.64 to 0.01) vs. control. MICT did not show significant differences compared to control or HIIT. Individual risk factors mostly did not show significant between-group differences, with some exceptions for HIIT being better than control. There was no significant effect modification by sex. The number of cardiovascular events was similar across groups. The healthy and fit study sample, and contamination and cross-over between intervention groups, challenged the possibility of detecting between-group differences., Conclusions: Five years of supervised exercise training in older adults had little effect on cardiovascular risk profile and did not reduce cardiovascular events., Registration: ClinicalTrials.gov: NCT01666340., (© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Introduction: Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitations by quantifying digital mobility outcomes (DMOs) both during supervised structured assessments and in real-world conditions. The validity of IMU-based methods in the real-world, however, is still limited in patient populations. Rigorous validation procedures should cover the device metrological verification, the validation of the algorithms for the DMOs computation specifically for the population of interest and in daily life situations, and the users' perspective on the device., Methods and Analysis: This protocol was designed to establish the technical validity and patient acceptability of the approach used to quantify digital mobility in the real world by Mobilise-D, a consortium funded by the European Union (EU) as part of the Innovative Medicine Initiative, aiming at fostering regulatory approval and clinical adoption of DMOs.After defining the procedures for the metrological verification of an IMU-based device, the experimental procedures for the validation of algorithms used to calculate the DMOs are presented. These include laboratory and real-world assessment in 120 participants from five groups: healthy older adults; chronic obstructive pulmonary disease, Parkinson's disease, multiple sclerosis, proximal femoral fracture and congestive heart failure. DMOs extracted from the monitoring device will be compared with those from different reference systems, chosen according to the contexts of observation. Questionnaires and interviews will evaluate the users' perspective on the deployed technology and relevance of the mobility assessment., Ethics and Dissemination: The study has been granted ethics approval by the centre's committees (London-Bloomsbury Research Ethics committee; Helsinki Committee, Tel Aviv Sourasky Medical Centre; Medical Faculties of The University of Tübingen and of the University of Kiel). Data and algorithms will be made publicly available., Trial Registration Number: ISRCTN (12246987)., Competing Interests: Competing interests: FC is CEO and shareholder of Aeqora Ltd, of which VL is director and shareholder. HS is an employee of AstraZeneca. BE is co-founder and owns shares of Portabiles HealthCare Technologies GmbH. McRoberts is the manufacturer of the DynaPort. MN, JE, and LPl are employees of McRoberts. AM is an employee of Novartis and holds stock in Novartis. LS and CB are consultants of Philipps Healthcare, Bosch Healthcare, Eli Lilly, Gait-up. JMH reports having submitted a patent for assessment of mobility using wearable sensors in 400 Parkinson’s disease; the intellectual property rights 401 are held by the Tel Aviv Medical Center. LPa and LC are co-founders and own shares of mHealth Technologies., (© 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.)

Background: The research on associations between gait, physical function, physical activity (PA), and cognitive function is growing. Still, clinical assessments of cognitive function and motor function is often kept separate. In this study, we aimed to look at a broad range of measures of gait, physical function, and PA in three groups of home-dwelling older adults with no or questionable dementia, mild dementia, and moderate/severe dementia., Methods: This cross-sectional study included 100 home-dwelling older adults, recruited from an outpatient geriatric memory clinic. Severity of dementia was categorised using the clinical dementia rating scale (CDR), with no or questionable dementia (CDR score 0 and 0.5), mild dementia (CDR score 1) and moderate/severe dementia (CDR score 2 and 3). We used thigh worn accelerometers to measure daily PA, the Short Physical Performance Battery (SPPB) to measure physical function, and an electronic gait mat to evaluate gait characteristics. Associations between severity of dementia and measures of PA, physical function, and gait characteristics were assessed by linear regression., Results: Participants' (mean age 78.9 (SD 6.7) years, 57% women) average gait speed was 0.93 m/sec, and average upright time was 301 min/day. Statistically significant associations were found for the severity of dementia and gait speed (p=0.002), step time (p=0.001), physical function (SPPB, p=0.007), and PA (upright time, p=0.031), after adjusting for age. Overall, having no or questionable dementia was associated with faster gait speed (mean difference 0.163 (95% CI: 0.053 to 0.273)), shorter step time (-0.043 (-0.082 to -0.005)), better SPPB score (1.7 (0.5 to 2.8)), and longer upright time (78.9 (18.9 to 139.0)), compared to those with mild dementia. Furthermore, having no or questionable dementia was also associated with faster gait speed and better SPPB scores, as compared to those with moderate to severe dementia. No evidence of any differences was found between the participants with the mild dementia versus the moderate to severe dementia., Conclusions: After adjusting for age, we found that the no or questionable dementia group to be associated with better gait and physical function, and more PA, as compared with the two groups with mild or moderate/severe dementia. Evaluation of gait, physical function, and PA can add clinically important information of everyday functioning in memory clinics meeting geriatric patients, but investigations on how to use these results to guide interventions are still needed., (© 2021. The Author(s).)

Objective: To examine sensitivity to change and responsiveness of the Community Balance and Mobility Scale (CBM) and shortened CBM (s-CBM)., Design: Secondary analysis using data of a randomized controlled trial., Setting: General community., Participants: Young community-dwelling seniors aged 61-70 years (N=134; mean age, 66.2±2.5y)., Interventions: Participants underwent 12 months of exercise intervention., Main Outcome Measures: CBM and s-CBM. Sensitivity to change was assessed using standardized response mean (SRM) and paired t tests as appropriate. Responsiveness was assessed using 2 minimal important difference (MID) estimates. Analyses were conducted for the full sample and for the subgroups "high-balance" and "low-balance," divided by median split., Results: Inferential statistics revealed a significant CBM (P<.001) and s-CBM (P<.001) improvement within the full sample and the subgroups (high-balance: P=.001, P=.019; low-balance: P<.001, P<.001). CBM and s-CBM were moderately sensitive to change (SRM, 0.48 vs 0.38) within the full sample. In the high-balance subgroup, moderate SRM values (0.70) were found for the CBM and small values for the s-CBM (0.29). In the low-balance subgroup, moderate SRM values were found for the CBM (0.67) and high values for the s-CBM (0.80). For the full sample, CBM and s-CBM exceeded the lower but not the higher MID value. In the high-balance subgroup, the CBM exceeded both MID values, but the s-CBM exceeded only the lower. In the low-balance subgroup, CBM and s-CBM exceeded both MID values., Conclusions: The CBM is a suitable tool to detect intervention-related changes of balance and mobility in young, high-performing seniors. Both versions of the CBM scale show good sensitivity to change and responsiveness, particularly in young seniors with low balance., (Copyright © 2021 The American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Digital mobility assessment using wearable sensor systems has the potential to capture walking performance in a patient's natural environment. It enables monitoring of health status and disease progression and evaluation of interventions in real-world situations. In contrast to laboratory settings, real-world walking occurs in non-conventional environments and under unconstrained and uncontrolled conditions. Despite the general understanding, there is a lack of agreed definitions about what constitutes real-world walking, impeding the comparison and interpretation of the acquired data across systems and studies. The goal of this study was to obtain expert-based consensus on specific aspects of real-world walking and to provide respective definitions in a common terminological framework. An adapted Delphi method was used to obtain agreed definitions related to real-world walking. In an online survey, 162 participants from a panel of academic, clinical and industrial experts with experience in the field of gait analysis were asked for agreement on previously specified definitions. Descriptive statistics was used to evaluate whether consent (> 75% agreement as defined a priori) was reached. Of 162 experts invited to participate, 51 completed all rounds (31.5% response rate). We obtained consensus on all definitions ("Walking" > 90%, "Purposeful" > 75%, "Real-world" > 90%, "Walking bout" > 80%, "Walking speed" > 75%, "Turning" > 90% agreement) after two rounds. The identification of a consented set of real-world walking definitions has important implications for the development of assessment and analysis protocols, as well as for the reporting and comparison of digital mobility outcomes across studies and systems. The definitions will serve as a common framework for implementing digital and mobile technologies for gait assessment and are an important link for the transition from supervised to unsupervised gait assessment., Competing Interests: The authors have declared that no competing interests exist. The funders did not have any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The commercial affiliation does not alter our adherence to PLOS ONE policies on sharing data and materials.

Physical activity has a strong influence on mental and physical health and is essential in healthy ageing and wellbeing for the ever-growing elderly population. Wearable sensors can provide a reliable and economical measure of activities of daily living (ADLs) by capturing movements through, e.g., accelerometers and gyroscopes. This study explores the potential of using classical machine learning and deep learning approaches to classify the most common ADLs: walking, sitting, standing, and lying. We validate the results on the ADAPT dataset, the most detailed dataset to date of inertial sensor data, synchronised with high frame-rate video labelled data recorded in a free-living environment from older adults living independently. The findings suggest that both approaches can accurately classify ADLs, showing high potential in profiling ADL patterns of the elderly population in free-living conditions. In particular, both long short-term memory (LSTM) networks and Support Vector Machines combined with ReliefF feature selection performed equally well, achieving around 97% F-score in profiling ADLs.

Background: Older adults are the most sedentary segment of society, often spending in excess of 8.5 hours a day sitting. Large amounts of time spent sedentary, defined as time spend sitting or in a reclining posture without spending energy, has been linked to an increased risk of chronic diseases, frailty, loss of function, disablement, social isolation, and premature death., Objectives: To evaluate the effectiveness of interventions aimed at reducing sedentary behaviour amongst older adults living independently in the community compared to control conditions involving either no intervention or interventions that do not target sedentary behaviour., Search Methods: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, PsycINFO, PEDro, EPPI-Centre databases (Trials Register of Promoting Health Interventions (TRoPHI) and the Obesity and Sedentary behaviour Database), WHO ICTRP, and ClinicalTrials.gov up to 18 January 2021. We also screened the reference lists of included articles and contacted authors to identify additional studies., Selection Criteria: We included randomised controlled trials (RCTs) and cluster-RCTs. We included interventions purposefully designed to reduce sedentary time in older adults (aged 60 or over) living independently in the community. We included studies if some of the participants had multiple comorbidities, but excluded interventions that recruited clinical populations specifically (e.g. stroke survivors)., Data Collection and Analysis: Two review authors independently screened titles and abstracts and full-text articles to determine study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. Any disagreements in study screening or data extraction were settled by a third review author., Main Results: We included seven studies in the review, six RCTs and one cluster-RCT, with a total of 397 participants. The majority of participants were female (n = 284), white, and highly educated. All trials were conducted in high-income countries. All studies evaluated individually based behaviour change interventions using a combination of behaviour change techniques such as goal setting, education, and behaviour monitoring or feedback. Four of the seven studies also measured secondary outcomes. The main sources of bias were related to selection bias (N = 2), performance bias (N = 6), blinding of outcome assessment (N = 2), and incomplete outcome data (N = 2) and selective reporting (N=1). The overall risk of bias was judged as unclear. Primary outcomes The evidence suggests that interventions to change sedentary behaviour in community-dwelling older adults may reduce sedentary time (mean difference (MD) -44.91 min/day, 95% confidence interval (CI) -93.13 to 3.32; 397 participants; 7 studies; I 2 = 73%; low-certainty evidence). We could not pool evidence on the effect of interventions on breaks in sedentary behaviour or time spent in specific domains such as TV time, as data from only one study were available for these outcomes. Secondary outcomes We are uncertain whether interventions to reduce sedentary behaviour have any impact on the physical or mental health outcomes of community-dwelling older adults. We were able to pool change data for the following outcomes. • Physical function (MD 0.14 Short Physical Performance Battery (SPPB) score, 95% CI -0.38 to 0.66; higher score is favourable; 98 participants; 2 studies; I 2 = 26%; low-certainty evidence). • Waist circumference (MD 1.14 cm, 95% CI -1.64 to 3.93; 100 participants; 2 studies; I 2 = 0%; low-certainty evidence). • Fitness (MD -5.16 m in the 6-minute walk test, 95% CI -36.49 to 26.17; higher score is favourable; 80 participants; 2 studies; I 2 = 29%; low-certainty evidence). • Blood pressure: systolic (MD -3.91 mmHg, 95% CI -10.95 to 3.13; 138 participants; 3 studies; I 2 = 73%; very low-certainty evidence) and diastolic (MD -0.06 mmHg, 95% CI -5.72 to 5.60; 138 participants; 3 studies; I 2 = 97%; very low-certainty evidence). • Glucose blood levels (MD 2.20 mg/dL, 95% CI -6.46 to 10.86; 100 participants; 2 studies; I 2 = 0%; low-certainty evidence). No data were available on cognitive function, cost-effectiveness or adverse effects., Authors' Conclusions: It is not clear whether interventions to reduce sedentary behaviour are effective at reducing sedentary time in community-dwelling older adults. We are uncertain if these interventions have any impact on the physical or mental health of community-dwelling older adults. There were few studies, and the certainty of the evidence is very low to low, mainly due to inconsistency in findings and imprecision. Future studies should consider interventions aimed at modifying the environment, policy, and social and cultural norms. Future studies should also use device-based measures of sedentary time, recruit larger samples, and gather information about quality of life, cost-effectiveness, and adverse event data., (Copyright © 2021 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.)

Increased levels of light, moderate and vigorous physical activity (PA) are positively associated with health benefits. Therefore, sensor-based human activity recognition can identify different types and levels of PA. In this paper, we propose a two-layer locomotion recognition method using dynamic time warping applied to inertial sensor data. Based on a video-validated dataset (ADAPT), which included inertial sensor data recorded at the lower back (L5 position) during an unsupervised task-based free-living protocol, the recognition algorithm was developed, validated and tested. As a first step, we focused on the identification of locomotion activities walking, ascending and descending stairs. These activities are difficult to differentiate due to a high similarity. The results showed that walking could be recognized with a sensitivity of 88% and a specificity of 89%. Specificity for stair climbing was higher compared to walking, but sensitivity was noticeably decreased. In most cases of misclassification, stair climbing was falsely detected as walking, with only 0.2-5% not assigned to any of the chosen types of locomotion. Our results demonstrate a promising approach to recognize and differentiate human locomotion within a variety of daily activities.

Objectives: To explore factors from the acute phase, and after three and 12 months, associated with level of self-reported physical activity 12 months after a minor ischemic stroke with National Institutes of Health Stroke Scale (NIHSS) score ≤ 3 in persons 70 years or younger., Materials and Method: In this longitudinal cohort study patients were recruited consecutively from two stroke units. Activity level were measured with three sets of questions addressing the average number of frequency (times exercising each week), the average intensity, and duration (the average time), and a sum score was constructed. The association between physical activity 12 months after stroke and sociodemographic factors, NIHSS, body mass index, balance, and neuropsychiatric symptoms were explored using multiple linear regression., Results: This study included 101 patients, with mean age (SD) 55.5 (11.4) years, NIHSS median (Q 1 , Q 3 ) 0.0 (0.0, 1.0), and 20 % were female. Multiple linear regression analyses showed sick leave status at stroke onset, balance at three and 12 months, and anxiety, depression, apathy, and fatigue at 12 months to be factors associated with physical activity at 12 months after stroke., Conclusion: We found that pre-stroke sick leave, post-stroke balance, and neuropsychiatric symptoms were associated with the level of physical activity one year after minor stroke. This might be of importance when giving information about physical activity and deciding about post-stroke follow-up., Competing Interests: Declaration of Competing Interest The authors have no competing interests to declare., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Introduction: Gait speed is a simple and safe measure with strong predictive value for negative health outcomes in clinical practice, yet in-laboratory gait speed seems not representative for daily-life gait speed. This study aimed to investigate the interrelation between and robustness of in-laboratory and daily-life gait speed measures over 12 months in 61- to 70-year-old adults., Methods: Gait speed was assessed in laboratory through standardized stopwatch tests and in daily life by 7 days of trunk accelerometry in the PreventIT cohort, at baseline, and after 6 and 12 months. The interrelation was investigated using Pearson's correlations between gait speed measures at each time point. For robustness, changes over time and variance components were assessed by ANOVA and measurement agreement over time by Bland-Altman analyses., Results: Included were 189 participants (median age 67 years [interquartile range: 64-68], 52.2% females). In-laboratory and daily-life gait speed measures showed low correlations (Pearson's r = 0.045-0.455) at each time point. Moreover, both in-laboratory and daily-life gait speed measures appeared robust over time, with comparable and smaller within-subject than between-subject variance (range 0.001-0.095 m/s and 0.032-0.397 m/s, respectively) and minimal differences between measurements over time (Bland-Altman) with wide limits of agreement (standard deviation of mean difference range: 0.12-0.34 m/s)., Discussion/conclusion: In-laboratory and daily-life gait speed measures show robust assessments of gait speed over 12 months and are distinct constructs in this population of high-functioning adults. This suggests that (a combination of) both measures may have added value in predicting health outcomes., (© 2021 The Author(s). Published by S. Karger AG, Basel.)

Background : Spatial navigation, the ability to determine and maintain a route from one place to another, is needed for independence in everyday life. Knowledge about impairments in spatial navigation in people with mild stroke is scarce. Objectives : To explore impairments in spatial navigation in patients ≤70 years after first-ever mild ischemic stroke (NIHSS≤3) and to explore which variables are associated with these impairments 12 months later. Methods : Patients were examined in the acute phase, and after 3 and 12 months. To assess impairments in spatial navigation, we used the Floor Maze Test (FMT), with time and FMT-errors as outcomes. Patients' perceived navigational skills were collected using self-report. Logistic regression was used to explore which variables (sociodemographic data, stroke characteristics, cognition, and mobility) were associated with impaired navigation ability. Results : Ninety-seven patients (20 females) were included. The mean (SD) age was 55.5 (11.4) years. Timed FMT improved significantly from the acute phase to 12 months ( p = <.001). At 12 months, 24 (24.7%) of the participants walked through the maze with errors, and 22 (22.7%) reported spatial navigational problems. The Trail Making Test (TMT)-B was the only variable from the acute phase associated with FMT-errors at 12 months, and being female was the only variable associated with self-reported navigational problems at 12 months. Conclusion : Nearly one in four patients experienced spatial navigation problems 12 months after a mild stroke. Executive function (TMT-B), measured in the acute phase, was associated with navigational impairments (FMT-errors) at 12 months, and being female was associated with self-reported navigational problems.

Introduction: Since it is well documented that spatiotemporal gait parameters are affected by body size, it is of limited clinical value to compare individual scores against reference values without taking body size into consideration. For older adults, reference values have been presented in recent reports, but unfortunately the effect of body size on gait characteristics was not taken into account and neither prediction intervals nor percentile ranks were included. It is the aim of this study to present and assess a model where individual spatiotemporal gait parameter values for older adults can be compared to reference values adjusted for gender, age, and body height., Methods: Reference gait data were collected from l464 older adults aged 69-80 years with no impairments believed to affect gait, stratified by gender, intermediately adjusted to a common body height using a pendulum model and entered into a simple regression model for each parameter with age as predictor. From the regression coefficients predicted gait parameter values could be back transformed to the individual body height of a new subject. Calculations were done using spreadsheet formulae and equations., Results: A spreadsheet based graphical user interface (GUI) has been developed in Microsoft Excel® where individual spatiotemporal gait data is entered for comparison with reference data taking gender, age and body height into account, and returning predicted point estimates with confidence intervals, prediction intervals, and percentile ranks., Significance: A GUI solution where individual spatiotemporal gait data is compared to reference data is feasible to researchers and for clinical use. To the best of our knowledge, this is the first model presented for comparison of basic gait parameters between individuals and reference data from older adults where gender, age, and body height are taken into account., (Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.)

Extensive test batteries are often needed to obtain a comprehensive picture of a person's functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of space, time, and training. The Community Balance and Mobility Scale (CBMS) is considered a gold standard for this population, but the test is complex, as well as time- and resource intensive. There is a strong need for a faster, yet sensitive and robust test of physical function in seniors. We sought to investigate whether an instrumented Timed Up and Go (iTUG) could predict the CBMS score in 60 outpatients and healthy community-dwelling seniors, where features of the iTUG were predictive, and how the prediction of CBMS with the iTUG compared to standard clinical tests. A partial least squares regression analysis was used to identify latent components explaining variation in CBMS total score. The model with iTUG features was able to predict the CBMS total score with an accuracy of 85.2% (84.9-85.5%), while standard clinical tests predicted 82.5% (82.2-82.8%) of the score. These findings suggest that a fast and easily administered iTUG could be used to predict CBMS score, providing a valuable tool for research and clinical care.

Background: Understanding the association between motor capacity (MC) (what people can do in a standardized environment), mobility performance (MP) (what people actually do in real-life) and falls is important for early detection of and counteracting on functional decline, particularly in the rapidly growing population of young seniors. Therefore, this study aims to 1) explore the association between MC and MP, and between MC and falls, and 2) investigate whether challenging MC measures are better associated with MP and falls than basic MC measures., Methods: Basic (habitual gait speed, Timed Up-and-Go) and challenging (fast gait speed, Community Balance & Mobility Scale) MC measures were performed in 169 young seniors (61-70 years). MP was assessed using one-week sensor-monitoring including time being sedentary, light active, and at least moderately active. Falls in the previous six months were reported. Associations and discriminative ability were calculated using correlation, regression and receiver operating curve analysis., Results: Mean age was 66.4 (SD 2.4) years (50.6 % women). Small to moderate associations (r = 0.06-0.31; p < .001-.461) were found between MC, MP and falls. Challenging MC measures showed closer associations with MP and falls (r = 0.10-0.31; p < .001-.461) compared to basic (r = 0.06-0.22; p = .012-.181), remained significant in three out of four regression models explaining 2.5-8.6 % of the variance, and showed highest discriminative ability (area under the curve = 0.59-0.70) in all analyses., Conclusions: Challenging MC measures are closer associated with mobility performance and falls as compared to basic MC measures in young seniors. This indicates the importance of applying challenging motor capacity assessments in young seniors. On the same note, small to moderate associations imply a need for an assessment of both MC and MP in order to capture the best possible MC and the actual daily-life MP in young seniors., Competing Interests: Declaration of Competing Interest None., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Behavioral change is the key to alter individuals' lifestyle from sedentary to active. The aim was to assess the feasibility of delivering a Lifestyle-integrated Functional Exercise programme and evaluate the delivery of the intervention by use of digital technology (eLiFE) to prevent functional decline in 61-70 year-old adults. Methods: This multicentre, feasibility randomized controlled trial was run in three countries (Norway, Germany, and the Netherlands). Out of 7,500 potential participants, 926 seniors (12%) were screened and 180 participants randomized to eLiFE ( n = 61), aLiFE ( n = 59), and control group ( n = 60). eLiFE participants used an application on smartphones and smartwatches while aLiFE participants used traditional paper-based versions of the same lifestyle-integrated exercise intervention. Participants were followed for 12 months, with assessments at baseline, after a 6 month active trainer-supported intervention, and after a further 6 months of unsupervised continuation of the programme. Results: At 6 months, 87% of participants completed post-test , and 77% completed the final assessment at 12 months. Participants were willing to be part of the programme, with compliance and reported adherence relatively high. Despite small errors during start-up in the technological component, intervention delivery by use of technology appeared acceptable. No serious adverse events were related to the interventions. All groups improved regarding clinical outcomes over time, and complexity metrics show potential as outcome measure in young seniors. Conclusion: This feasibility RCT provides evidence that an ICT-based lifestyle-integrated exercise intervention, focusing on behavioral change, is feasible and safe for young seniors. Clinical Trial Registration: ClinicalTrials.gov, identifier: NCT03065088. Registered on 14 February 2017., (Copyright © 2020 Taraldsen, Mikolaizak, Maier, Mellone, Boulton, Aminian, Becker, Chiari, Follestad, Gannon, Paraschiv-Ionescu, Pijnappels, Saltvedt, Schwenk, Todd, Yang, Zacchi, van Ancum, Vereijken and Helbostad.)

Background: Existing group exercise programmes, or other services offered to maintain physical activity levels, are typically not developed specifically for older adults with dementia. The aim of this study was to gain knowledge about perceptions of a newly developed volunteer supported group exercise programme for older adults with dementia, and any barriers that may have affected participation and compliance., Methods: Seven (six face-to-face and one by email) interviews were conducted with (i) older adults and volunteers participating in a pilot 12-week group exercise programme, (ii) caregivers, and (iii) therapists leading the group sessions. Interview transcriptions were systemised by use of NVivo 8 and analysed by use of Systematic Text Condensation method., Results: The theme "building relationships" represents the reason why attending this group was important for the participants. The findings suggest that how we organize exercise groups is important, with some sort of extra support, to ensure that persons will begin and continue to participate in new activities outside their homes., Conclusions: This study showed that it is possible to involve home-dwelling persons with cognitive decline and dementia in group exercise sessions. The role of building relationships was the major factor for successful participation. Providing support and ensuring motivation for persons attending the group outside their homes was essential, both for them and their caregivers. Service providers should not underestimate the importance of building relationships between persons involved in service offers.

Background: Two-thirds of patients with stroke experience only mild impairments in the acute phase, and the proportion of patients <70 years is increasing. Knowledge about balance and gait and predictive factors are scarce for this group., Objective: The objective of this study was to explore balance and gait in the acute phase and after 3 and 12 months in patients ≤70 years with minor ischemic stroke (National Institutes of Health Stroke Scale score ≤3). This study also explored factors predicting impaired balance after 12 months., Design: This study was designed as an explorative longitudinal cohort study., Methods: Patients were recruited consecutively from 2 stroke units. Balance and gait were assessed with the Mini-Balance Evaluation Systems Test (Mini-BESTest), Timed Up and Go, and preferred gait speed. Predictors for impaired balance were explored using logistic regression., Results: This study included 101 patients. Mean (SD) age was 55.5 (11.4) years, 20% were female, and mean (SD) National Institutes of Health Stroke Scale score was 0.6 (0.9) points. The Mini-BESTest, gait speed, and Timed Up and Go improved significantly from the acute phase to 3 months, and gait speed also improved from 3 to 12 months. At 12 months, 26% had balance impairments and 33% walked slower than 1.0 m/s. Poor balance in the acute phase (odds ratio = 0.92, 95% confidence interval = 0.85-0.95) was the only predictor of balance impairments (Mini-BESTest score ≤22) at 12 months poststroke., Limitations: Limitations include lack of information about pre-stroke balance and gait impairment and poststroke exercise. Few women limited the generalizability., Conclusion: This study observed improvements in both balance and gait during the follow-up; still, about one-third had balance or gait impairments at 12 months poststroke. Balance in the acute phase predicted impaired balance at 12 months., (© 2020 American Physical Therapy Association.)

Background: Objective measures of physical function in older adults are widely used to predict health outcomes such as disability, institutionalization, and mortality. App-based clinical tests allow users to assess their own physical function and have objective tracking of changes over time by use of their smartphones. Such tests can potentially guide interventions remotely and provide more detailed prognostic information about the participant's physical performance for the users, therapists, and other health care personnel. We developed 3 smartphone apps with instrumented versions of the Timed Up and Go (Self-TUG), tandem stance (Self-Tandem), and Five Times Sit-to-Stand (Self-STS) tests., Objective: This study aimed to test the usability of 3 smartphone app-based self-tests of physical function using an iterative design., Methods: The apps were tested in 3 iterations: the first (n=189) and second (n=134) in a lab setting and the third (n=20) in a separate home-based study. Participants were healthy adults between 60 and 80 years of age. Assessors observed while participants self-administered the tests without any guidance. Errors were recorded, and usability problems were defined. Problems were addressed in each subsequent iteration. Perceived usability in the home-based setting was assessed by use of the System Usability Scale, the User Experience Questionnaire, and semi-structured interviews., Results: In the first iteration, 7 usability problems were identified; 42 (42/189, 22.0%) and 127 (127/189, 67.2%) participants were able to correctly perform the Self-TUG and Self-Tandem, respectively. In the second iteration, errors caused by the problems identified in the first iteration were drastically reduced, and 108 (108/134, 83.1%) and 106 (106/134, 79.1%) of the participants correctly performed the Self-TUG and Self-Tandem, respectively. The first version of the Self-STS was also tested in this iteration, and 40 (40/134, 30.1%) of the participants performed it correctly. For the third usability test, the 7 usability problems initially identified were further improved. Testing the apps in a home setting gave rise to some new usability problems, and for Self-TUG and Self-STS, the rates of correctly performed trials were slightly reduced from the second version, while for Self-Tandem, the rate increased. The mean System Usability Scale score was 77.63 points (SD 16.1 points), and 80-95% of the participants reported the highest or second highest positive rating on all items in the User Experience Questionnaire., Conclusions: The study results suggest that the apps have the potential to be used to self-test physical function in seniors in a nonsupervised home-based setting. The participants reported a high degree of ease of use. Evaluating the usability in a home setting allowed us to identify new usability problems that could affect the validity of the tests. These usability problems are not easily found in the lab setting, indicating that, if possible, app usability should be evaluated in both settings. Before being made available to end users, the apps require further improvements and validation., (©Ronny Bergquist, Beatrix Vereijken, Sabato Mellone, Mattia Corzani, Jorunn L. Helbostad, Kristin Taraldsen. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 27.04.2020.)

Background: The Community Balance and Mobility Scale (CBM) has been shown to be reliable and valid for detecting subtle balance and mobility deficits in people who are 61 to 70 years of age. However, item redundancy and assessment time call for a shortened version., Objective: The objective was to create and validate a shortened version of the CBM (s-CBM) without detectable loss of psychometric properties., Design: This was a cross-sectional study., Methods: Exploratory factor analysis with data from 189 young seniors (aged 61-70 years; mean [SD] age = 66.3 [2.5] years) was used to create the s-CBM. Sixty-one young seniors (aged 61-70 years; mean [SD] age = 66.5 [2.6] years) were recruited to assess construct validity (Pearson correlation coefficient) by comparing the CBM versions with Fullerton Advance Balance Scale, Timed Up-and-Go, habitual and fast gait speed, 8 Level Balance Scale, 3-m tandem walk, and 30-second chair stand test. Internal consistency (Cronbach α), ceiling effects, and discriminant validity (area under the curve [AUC]) between fallers and nonfallers, and self-reported high and low function (Late-Life Function and Disability Index) and balance confidence (Activities-Specific Balance Confidence Scale), respectively, were calculated., Results: The s-CBM, consisting of 4 items, correlated excellently with the CBM (r = 0.97). Correlations between s-CBM and other assessments (r = 0.07-0.72), and CBM and other assessments (r = 0.06-0.80) were statistically comparable in 90% of the correlations. Cronbach α was .84 for the s-CBM, and .87 for the CBM. No CBM-version showed ceiling effects. Discriminative ability of the s-CBM was statistically comparable with the CBM (AUC = 0.66-0.75 vs AUC = 0.65-0.79)., Limitations: Longitudinal studies with larger samples should confirm the results and assess the responsiveness for detecting changes over time., Conclusions: The psychometric properties of the s-CBM were similar to those of the CBM. The s-CBM can be recommended as a valid and quick balance and mobility assessment in young seniors., (© 2019 American Physical Therapy Association.)

The aim of this trial was to evaluate the clinical effectiveness and cost-effectiveness of a home-based exercise program delivered four months following hip-fracture surgery. In the two-armed randomized, single blinded clinical trial we included persons who lived in the catchment area, were 70 years or older, and community-dwelling at time of the fracture. We excluded persons who were unable to walk ten meters prior to the fracture, and those who were bedridden or had medical contraindications for exercise at baseline (ie. four months after the fracture). All participants underwent routine treatment and rehabilitation. The intervention group received additional 20 sessions (10 weeks) structured, home exercise targeting gait and balance, delivered by physiotherapists in primary health care. Gait speed was the primary outcome. Secondary outcomes included physical activity, gait characteristics, cognitive function, activities of daily living, health-related quality of life, and health care costs extracted from hospital and municipality records. In total, 223 participants were included. Four months post surgery 143 were randomized for the exercise trial (70% women, mean age 83.4 (SD 6.1) years, mean gait speed 0.6 (SD 0.2) m/sec). Estimated between group difference in gait speed was 0.09 m/sec (95% CI: 0.04 to 0.14, p<0.001) at posttest and 0.07 m/sec (95% CI: 0.02 to 0.12, p = 0.009) 12 months post surgery. The mean between-group QALY difference was -0.009 (95% CI: -0.061 to 0.038). The mean between-group total cost difference was +242.9 EUR (95% CI: -8397 to 8584). Our findings suggest that gait recovery after hip fracture can be improved by introducing a home-based balance and gait exercise program four months post surgery, without increasing total health care costs. Future research should focus on how to implement gait and balance exercise in comprehensive interventions that increase adherence among the most vulnerable persons and have an effect on daily life activities and patient-centred outcomes. Trial registration: ClinicalTrials.gov NCT01379456., Competing Interests: The authors have declared that no competing interests exist.

Introduction: Falls have major implications for quality of life, independence and cost to the health service. Strength and balance training has been found to be effective in reducing the rate/risk of falls, as long as there is adequate fidelity to the evidence-based programme. Health services are often unable to deliver the evidence-based dose of exercise and older adults do not always sufficiently adhere to their programme to gain full outcomes. Smartphone technology based on behaviour-change theory has been used to support healthy lifestyles, but not falls prevention exercise. This feasibility trial will explore whether smartphone technology can support patients to better adhere to an evidence-based rehabilitation programme and test study procedures/outcome measures., Methods and Analysis: A two-arm, pragmatic feasibility randomised controlled trial will be conducted with health services in Manchester, UK. Seventy-two patients aged 50+years eligible for a falls rehabilitation exercise programme from two community services will receive: (1) standard service with a smartphone for outcome measurement only or (2) standard service plus a smartphone including the motivational smartphone app. The primary outcome is feasibility of the intervention, study design and procedures. The secondary outcome is to compare standard outcome measures for falls, function and adherence to instrumented versions collected using smartphone. Outcome measures collected include balance, function, falls, strength, fear of falling, health-related quality of life, resource use and adherence. Outcomes are measured at baseline, 3 and 6-month post-randomisation. Interviews/focus groups with health professionals and participants further explore feasibility of the technology and trial procedures. Primarily analyses will be descriptive., Ethics and Dissemination: The study protocol is approved by North West Greater Manchester East Research Ethics Committee (Rec ref:18/NW/0457, 9/07/2018). User groups and patient representatives were consulted to inform trial design, and are involved in study recruitment. Results will be reported at conferences and in peer-reviewed publications. A dissemination event will be held in Manchester to present the results of the trial. The protocol adheres to the recommended Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) checklist., Trial Registration Number: ISRCTN12830220; Pre-results., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.)

Introduction: Gait speed is slower in patients with mild cognitive impairment (MCI) compared to cognitively healthy individuals (CHI). We examined the patterns of brain gray matter (GM) volume association and covariance with gait speed in CHI and in patients with MCI., Methods: A total of 96 CHI and 99 patients with MCI were recruited in this cross-sectional study. Brain GM volumes measured with voxel-based morphometry and self-paced gait speed were used as outcomes., Results: The right middle frontal and precentral gyri volumes were positively associated with gait speed in CHI and covariated with frontal cortex. Striatum (i.e. left putamen and bilateral caudate nuclei) volumes were positively associated with gait speed in patients with MCI and covariated with striatal structures., Conclusions: Two different patterns of brain GM volume association and covariance with gait speed were found and involving frontal cortex in CHI and the striatum in patients with MCI., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Background: Identifying those people at increased risk of early functional decline in activities of daily living (ADL) is essential for initiating preventive interventions. The aim of this study is to develop and validate a clinical prediction model for onset of functional decline in ADL in three years of follow-up in older people of 65-75 years old., Methods: Four population-based cohort studies were pooled for the analysis: ActiFE-ULM (Germany), ELSA (United Kingdom), InCHIANTI (Italy), LASA (Netherlands). Included participants were 65-75 years old at baseline and reported no limitations in functional ability in ADL at baseline. Functional decline was assessed with two items on basic ADL and three items on instrumental ADL. Participants who reported at least some limitations at three-year follow-up on any of the five items were classified as experiencing functional decline. Multiple logistic regression analysis was used to develop a prediction model, with subsequent bootstrapping for optimism-correction. We applied internal-external cross-validation by alternating the data from the four cohort studies to assess the discrimination and calibration across the cohorts., Results: Two thousand five hundred sixty community-dwelling people were included in the analyses (mean age 69.7 ± 3.0 years old, 47.4% female) of whom 572 (22.3%) reported functional decline at three-year follow-up. The final prediction model included 10 out of 22 predictors: age, handgrip strength, gait speed, five-repeated chair stands time (non-linear association), body mass index, cardiovascular disease, diabetes, chronic obstructive pulmonary disease, arthritis, and depressive symptoms. The optimism-corrected model showed good discrimination with a C statistic of 0.72. The calibration intercept was 0.06 and the calibration slope was 1.05. Internal-external cross-validation showed consistent performance of the model across the four cohorts., Conclusions: Based on pooled cohort data analyses we were able to show that the onset of functional decline in ADL in three years in older people aged 65-75 years can be predicted by specific physical performance measures, age, body mass index, presence of depressive symptoms, and chronic conditions. The prediction model showed good discrimination and calibration, which remained stable across the four cohorts, supporting external validity of our findings.