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Evensen S, Taraldsen K, Aam S, Morandi A. Delirium is associated with low levels of upright activity in geriatric inpatients-results from a prospective observational study. Aging Clin Exp Res 2024; 36:41. [PMID: 38353776 PMCID: PMC10867047 DOI: 10.1007/s40520-024-02699-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Delirium is common in geriatric inpatients and associated with poor outcomes. Hospitalization is associated with low levels of physical activity. Motor symptoms are common in delirium, but how delirium affects physical activity remains unknown. AIMS To investigate differences in physical activity between geriatric inpatients with and without delirium. METHODS We included acutely admitted patients ≥ 75 years in a prospective observational study at a medical geriatric ward at a Norwegian University Hospital. Delirium was diagnosed according to the DSM-5 criteria. Physical activity was measured by an accelerometer-based device worn on the right thigh. The main outcome was time in upright position (upright time) per 24 h (00.00 to 23.59) on the first day of hospitalization with verified delirium status. Group differences were analysed using t test. RESULTS We included 237 patients, mean age 86.1 years (Standard Deviation (SD) 5.1), and 73 patients (30.8%) had delirium. Mean upright time day 1 for the entire group was 92.2 min (SD 84.3), with 50.9 min (SD 50.7) in the delirium group and 110.6 min (SD 89.7) in the no-delirium group, mean difference 59.7 minutes, 95% Confidence Interval 41.6 to 77.8, p value < 0.001. DISCUSSION Low levels of physical activity in patients with delirium raise the question if immobilization may contribute to poor outcomes in delirium. Future studies should investigate if mobilization interventions could improve outcomes of delirium. CONCLUSIONS In this sample of geriatric inpatients, the group with delirium had lower levels of physical activity than the group without delirium.
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Affiliation(s)
- Sigurd Evensen
- Department of Medicine, Diakonhjemmet Hospital, Oslo, Norway.
| | - Kristin Taraldsen
- Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University (OsloMet), Oslo, Norway
| | - Stina Aam
- Department of Geriatric Medicine, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Service, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Alessandro Morandi
- Intermediate Care and Rehabilitation, Azienda Speciale Di Cremona Solidale, Cremona Parc Sanitari Pere Virgili, Cremona, Italy
- Vall d'Hebrón Institute of Research, Barcelona, Spain
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Taraldsen K, Polhemus A, Engdal M, Jansen CP, Becker C, Brenner N, Blain H, Johnsen LG, Vereijken B. Evaluation of mobility recovery after hip fracture: a scoping review of randomized controlled studies. Osteoporos Int 2024; 35:203-215. [PMID: 37801082 PMCID: PMC10837269 DOI: 10.1007/s00198-023-06922-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 09/11/2023] [Indexed: 10/07/2023]
Abstract
Few older adults regain their pre-fracture mobility after a hip fracture. Intervention studies evaluating effects on gait typically use short clinical tests or in-lab parameters that are often limited to gait speed only. Measurements of mobility in daily life settings exist and should be considered to a greater extent than today. Less than half of hip fracture patients regain their pre-fracture mobility. Mobility recovery is closely linked to health status and quality of life, but there is no comprehensive overview of how gait has been evaluated in intervention studies on hip fracture patients. The purpose was to identify what gait parameters have been used in randomized controlled trials to assess intervention effects on older people's mobility recovery after hip fracture. This scoping review is a secondary paper that identified relevant peer-reviewed and grey literature from 11 databases. After abstract and full-text screening, 24 papers from the original review and 8 from an updated search and manual screening were included. Records were eligible if they included gait parameters in RCTs on hip fracture patients. We included 32 papers from 29 trials (2754 unique participants). Gait parameters were primary endpoint in six studies only. Gait was predominantly evaluated as short walking, with gait speed being most frequently studied. Only five studies reported gait parameters from wearable sensors. Evidence on mobility improvement after interventions in hip fracture patients is largely limited to gait speed as assessed in a controlled setting. The transition from traditional clinical and in-lab to out-of-lab gait assessment is needed to assess effects of interventions on mobility recovery after hip fracture at higher granularity in all aspects of patients' lives, so that optimal care pathways can be defined.
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Affiliation(s)
- K Taraldsen
- Department of Rehabilitation Science and Health Technology, OsloMet, Oslo, Norway.
| | - A Polhemus
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - M Engdal
- Department of Neuromedicine and Movement Science, NTNU, Trondheim, Norway
| | - C-P Jansen
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - C Becker
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - N Brenner
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - H Blain
- Department of Geriatrics, Montpellier University Hospital and Montpellier University MUSE, Montpellier, France
| | - L G Johnsen
- Department of Neuromedicine and Movement Science, NTNU, Trondheim, Norway
- Department of Orthopaedic Surgery, St. Olav's Hospital HF, Trondheim, Norway
| | - B Vereijken
- Department of Neuromedicine and Movement Science, NTNU, Trondheim, Norway
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Bjerk M, Flottorp SA, Pripp AH, Øien H, Hansen TM, Foy R, Close J, Linnerud S, Brovold T, Solli R, Olsen NR, Skelton DA, Rydwik E, Helbostad JL, Idland G, Kvæl L, Vieira E, Taraldsen K. Tailored implementation of national recommendations on fall prevention among older adults in municipalities in Norway (FALLPREVENT trial): a study protocol for a cluster-randomised trial. Implement Sci 2024; 19:5. [PMID: 38273325 PMCID: PMC10811923 DOI: 10.1186/s13012-024-01334-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/02/2024] [Indexed: 01/27/2024] Open
Abstract
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.
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Affiliation(s)
- Maria Bjerk
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University (OsloMet), Oslo, Norway.
- Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.
| | - Signe A Flottorp
- Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway
- Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Are Hugo Pripp
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University (OsloMet), Oslo, Norway
- Oslo Centre of Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Henning Øien
- Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway
| | - Tonya Moen Hansen
- Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Jacqueline Close
- Neuroscience Research Australia, Randwick, NSW, Australia
- Prince of Wales Hospital, SESLHD, Randwick, NSW, Australia
| | - Siv Linnerud
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University (OsloMet), Oslo, Norway
| | - Therese Brovold
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University (OsloMet), Oslo, Norway
| | - Rune Solli
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University (OsloMet), Oslo, Norway
| | - Nina Rydland Olsen
- Department of Health and Functioning, Faculty of Health and Social Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Dawn A Skelton
- Research Centre for Health (ReaCH), Department of Physiotherapy and Paramedicine, School of Health & Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Elisabeth Rydwik
- Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy and Physiotherapy, Karolinska University Hospital, Solna, Sweden
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health, NTNU, Trondheim, Norway
| | - Gro Idland
- Agency for Health, Municipality of Oslo, Oslo, Norway
| | - Linda Kvæl
- Department of Housing and Ageing Research, Norwegian Social Research - NOVA, Oslo Metropolitan University (OsloMet), Oslo, Norway
| | - Edgar Vieira
- Department of Physical Therapy, Florida International University, Miami, FL, USA
| | - Kristin Taraldsen
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University (OsloMet), Oslo, Norway
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Linnerud S, Kvael LAH, Graverholt B, Idland G, Taraldsen K, Brovold T. Stakeholder development of an implementation strategy for fall prevention in Norwegian home care - a qualitative co-creation approach. BMC Health Serv Res 2023; 23:1390. [PMID: 38082278 PMCID: PMC10714538 DOI: 10.1186/s12913-023-10394-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The uptake of fall prevention evidence has been slow and limited in home care services. Involving stakeholders in the implementation process is suggested as a method to successfully tailor implementation strategies. The aim of this study was to develop an implementation strategy for fall prevention, targeting healthcare providers working in home care services. METHODS This study used an explorative qualitative approach in a five-step co-creation process to involve researchers, service users, and healthcare providers. The first two steps consisted of workshops. This was followed by focus group interviews and individual interviews with key informants as steps three and four. Data from the first four steps were analyzed using reflexive thematic analysis. The fifth and final step was a workshop finalizing a strategy for implementing fall prevention evidence in home health services. RESULTS Overall, our findings, resulted in an implementation strategy for fall prevention with four components: (1) Empower leaders to facilitate implementation, operationalized through what managers pay attention to regularly, resource priorities, and time spent on fall prevention, (2) Establish implementation teams, consisting of multidisciplinary healthcare providers from different levels of the organization, with formalized responsibility for implementation, (3) Tailor dual competence improvement, reflecting the need for knowledge and skills for fall prevention and implementation among healthcare providers and users, and (4) Provide implementation support, representing guidance through the implementation process. CONCLUSIONS This study advances our understanding of implementation in home care services. Implementation of fall prevention requires an implementation strategy involving a blend of essential components targeting leaders, competent healthcare providers and users, and establishing structures enhancing the implementation process.
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Affiliation(s)
- Siv Linnerud
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, P.O. Box 4, St. Olavs plass, Oslo, N-0130, Norway.
| | - Linda Aimee Hartford Kvael
- Department of Housing and Ageing Research, Norwegian Social Science, OsloMet - Oslo Metropolitan University, P.O. Box 4, St. Olavs plass, Oslo, N-0130, Norway
| | - Birgitte Graverholt
- Department of Health and Functioning, Western Norway University of Applied Sciences, P.O. Box 7030, N-5020, Bergen, Norway
| | - Gro Idland
- Agency of Health, The municipality of Oslo, N-0130, Oslo, Norway
| | - Kristin Taraldsen
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, P.O. Box 4, St. Olavs plass, Oslo, N-0130, Norway
| | - Therese Brovold
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, P.O. Box 4, St. Olavs plass, Oslo, N-0130, Norway
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Runde HA, Taraldsen K, Follestad T, Saltvedt I, Johnsen LG. The impact of cognitive function on physical activity, physical function and quality of life in older adults following a hip fracture. Age Ageing 2023; 52:7143576. [PMID: 37104380 PMCID: PMC10137112 DOI: 10.1093/ageing/afad061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Indexed: 04/28/2023] Open
Abstract
OBJECTIVE To determine the impact of cognitive function on physical activity (PA), physical function and health-related quality of life (HRQoL) in older adults within the first year after hip fracture (HF) surgery. METHODS We included 397 home-dwelling individuals aged 70 years or older with the ability to walk 10 m before the fracture. Cognitive function was measured at 1 month and other outcomes were assessed at 1, 4 and 12 months postoperatively. Mini-Mental State Examination was used to assess cognitive function, accelerometer-based body-worn sensors to register PA, Short Physical Performance Battery to test physical function and EuroQol-5-dimension-3-level to estimate the HRQoL. Data were analysed by linear mixed-effects models with interactions and ordinal logistic regression models. RESULTS Cognitive function, adjusted for the pre-fracture ability to perform activities of daily living, comorbidity, age and gender, had an impact on PA [b = 3.64, 95% confidence interval (CI): 2.20-5.23, P < 0.001] and physical function (b = 0.08, 95% CI: 0.04-0.11, P < 0.001; b = 0.12, 95% CI: 0.09-0.15, P < 0.001; and b = 0.14, 95% CI: 0.10-0.18, P < 0.001 at 1, 4 and 12 months, respectively). The cognitive function did not have a considerable impact on HRQoL. CONCLUSIONS For older adults with HFs, cognitive function 1 month postoperatively had a significant impact on PA and physical function in the first postoperative year. For the HRQoL, little or no evidence of such an effect was found.
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Affiliation(s)
- Henrik A Runde
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Kristin Taraldsen
- Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway
| | - Turid Follestad
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Lars G Johnsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Orthopaedic Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Tangen GG, Sverdrup K, Taraldsen K, Persson K, Engedal K, Bekkhus-Wetterberg P, Knapskog AB. Mobility and associations with levels of cerebrospinal fluid amyloid β and tau in a memory clinic cohort. Front Aging Neurosci 2023; 15:1101306. [PMID: 36820757 PMCID: PMC9939466 DOI: 10.3389/fnagi.2023.1101306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/19/2023] [Indexed: 02/08/2023] Open
Abstract
Background Mobility impairments, in terms of gait and balance, are common in persons with dementia. To explore this relationship further, we examined the associations between mobility and cerebrospinal fluid (CSF) core biomarkers for Alzheimer's disease (AD). Methods In this cross-sectional study, we included 64 participants [two with subjective cognitive decline (SCD), 13 with mild cognitive impairment (MCI) and 49 with dementia] from a memory clinic. Mobility was examined using gait speed, Mini-Balance Evaluation Systems test (Mini-BESTest), Timed Up and Go (TUG), and TUG dual-task cost (TUG DTC). The CSF biomarkers included were amyloid-β 42 (Aβ42), total-tau (t-tau), and phospho tau (p-tau181). Associations between mobility and biomarkers were analyzed through correlations and multiple linear regression analyses adjusted for (1) age, sex, and comorbidity, and (2) SCD/MCI vs. dementia. Results Aβ42 was significantly correlated with each of the mobility outcomes. In the adjusted multiple regression analyses, Aβ42 was significantly associated with Mini-BESTest and TUG in the fully adjusted model and with TUG DTC in step 1 of the adjusted model (adjusting for age, sex, and comorbidity). T-tau was only associated with TUG DTC in step 1 of the adjusted model. P-tau181 was not associated with any of the mobility outcomes in any of the analyses. Conclusion Better performance on mobility outcomes were associated with higher levels of CSF Aβ42. The association was strongest between Aβ42 and Mini-BESTest, suggesting that dynamic balance might be closely related with AD-specific pathology.
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Affiliation(s)
- Gro Gujord Tangen
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway,*Correspondence: Gro Gujord Tangen,
| | - Karen Sverdrup
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristin Taraldsen
- Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway
| | - Karin Persson
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Knut Engedal
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
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Dakhil S, Saltvedt I, Benth JŠ, Thingstad P, Watne LO, Bruun Wyller T, Helbostad JL, Frihagen F, Johnsen LG, Taraldsen K. Longitudinal trajectories of functional recovery after hip fracture. PLoS One 2023; 18:e0283551. [PMID: 36989248 PMCID: PMC10057789 DOI: 10.1371/journal.pone.0283551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 03/01/2023] [Indexed: 03/30/2023] Open
Abstract
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.
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Affiliation(s)
- Shams Dakhil
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingvild Saltvedt
- Department of Geriatric Medicine, St. Olav University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Jūratė Šaltytė Benth
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
- Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway
| | - Pernille Thingstad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Torgeir Bruun Wyller
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Frede Frihagen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Orthopaedic Surgery, Østfold Hospital Trust, Grålum, Norway
| | - Lars Gunnar Johnsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Orthopedic Trauma Unit, Department of Orthopedic Surgery, St. Olav University Hospital, Trondheim, Norway
| | - Kristin Taraldsen
- Department of Rehabilitation Science and Health Technology, OsloMet, Oslo Metropolitan University, Oslo, Norway
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Nygård AJ, Taraldsen K, Granbo R, Selbæk G, Helbostad JL. Impacts of COVID-19 restrictions on level of physical activity and health in home-dwelling older adults in Norway. Eur Rev Aging Phys Act 2022; 19:30. [PMID: 36494614 PMCID: PMC9733310 DOI: 10.1186/s11556-022-00309-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/11/2022] [Indexed: 12/13/2022] Open
Abstract
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.
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Affiliation(s)
- Arnhild J. Nygård
- grid.5947.f0000 0001 1516 2393Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kristin Taraldsen
- grid.412414.60000 0000 9151 4445Department of Physiotherapy, Oslo Metropolitan University (OsloMet), Oslo, Norway
| | - Randi Granbo
- grid.5947.f0000 0001 1516 2393Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Geir Selbæk
- grid.55325.340000 0004 0389 8485Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway ,grid.417292.b0000 0004 0627 3659Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway ,grid.5510.10000 0004 1936 8921Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Jorunn L. Helbostad
- grid.5947.f0000 0001 1516 2393Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Hara S, Andresen H, Solheim O, Carlsen SM, Sundstrøm T, Lønne G, Lønne VV, Taraldsen K, Tronvik EA, Øie LR, Gulati AM, Sagberg LM, Jakola AS, Solberg TK, Nygaard ØP, Salvesen ØO, Gulati S. Effect of Spinal Cord Burst Stimulation vs Placebo Stimulation on Disability in Patients With Chronic Radicular Pain After Lumbar Spine Surgery: A Randomized Clinical Trial. JAMA 2022; 328:1506-1514. [PMID: 36255427 PMCID: PMC9579901 DOI: 10.1001/jama.2022.18231] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE The use of spinal cord stimulation for chronic pain after lumbar spine surgery is increasing, yet rigorous evidence of its efficacy is lacking. OBJECTIVE To investigate the efficacy of spinal cord burst stimulation, which involves the placement of an implantable pulse generator connected to electrodes with leads that travel into the epidural space posterior to the spinal cord dorsal columns, in patients with chronic radiculopathy after surgery for degenerative lumbar spine disorders. DESIGN, SETTING, AND PARTICIPANTS This placebo-controlled, crossover, randomized clinical trial in 50 patients was conducted at St Olavs University Hospital in Norway, with study enrollment from September 5, 2018, through April 28, 2021. The date of final follow-up was May 20, 2022. INTERVENTIONS Patients underwent two 3-month periods with spinal cord burst stimulation and two 3-month periods with placebo stimulation in a randomized order. Burst stimulation consisted of closely spaced, high-frequency electrical stimuli delivered to the spinal cord. The stimulus consisted of a 40-Hz burst mode of constant-current stimuli with 4 spikes per burst and an amplitude corresponding to 50% to 70% of the paresthesia perception threshold. MAIN OUTCOMES AND MEASURES The primary outcome was difference in change from baseline in the self-reported Oswestry Disability Index (ODI; range, 0 points [no disability] to 100 points [maximum disability]; the minimal clinically important difference was 10 points) score between periods with burst stimulation and placebo stimulation. The secondary outcomes were leg and back pain, quality of life, physical activity levels, and adverse events. RESULTS Among 50 patients who were randomized (mean age, 52.2 [SD, 9.9] years; 27 [54%] were women), 47 (94%) had at least 1 follow-up ODI score and 42 (84%) completed all stimulation randomization periods and ODI measurements. The mean ODI score at baseline was 44.7 points and the mean changes in ODI score were -10.6 points for the burst stimulation periods and -9.3 points for the placebo stimulation periods, resulting in a mean between-group difference of -1.3 points (95% CI, -3.9 to 1.3 points; P = .32). None of the prespecified secondary outcomes showed a significant difference. Nine patients (18%) experienced adverse events, including 4 (8%) who required surgical revision of the implanted system. CONCLUSIONS AND RELEVANCE Among patients with chronic radicular pain after lumbar spine surgery, spinal cord burst stimulation, compared with placebo stimulation, after placement of a spinal cord stimulator resulted in no significant difference in the change from baseline in self-reported back pain-related disability. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03546738.
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Affiliation(s)
- Sozaburo Hara
- Department of Neurosurgery, St Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Hege Andresen
- Department of Neurosurgery, St Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- National Advisory Unit on Spinal Surgery, St Olavs University Hospital, Trondheim, Norway
| | - Ole Solheim
- Department of Neurosurgery, St Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sven M. Carlsen
- Department of Endocrinology, St Olavs University Hospital, Trondheim, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Terje Sundstrøm
- Department of Neurosurgery, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Greger Lønne
- National Advisory Unit on Spinal Surgery, St Olavs University Hospital, Trondheim, Norway
- Department of Orthopedics, Innlandet Hospital Trust, Lillehammer, Norway
| | - Vetle V. Lønne
- Department of Neurosurgery, St Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | | | - Erling A. Tronvik
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, St Olavs University Hospital, Trondheim, Norway
| | - Lise R. Øie
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, St Olavs University Hospital, Trondheim, Norway
| | - Agnete M. Gulati
- Department of Rheumatology, St Olavs University Hospital, Trondheim, Norway
- Office of Medical Education, Norwegian University of Science and Technology, Trondheim, Norway
| | - Lisa M. Sagberg
- Department of Neurosurgery, St Olavs University Hospital, Trondheim, Norway
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Asgeir S. Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Tore K. Solberg
- Department of Neurosurgery, University Hospital of North Norway, Tromsø
- Department of Clinical Medicine, University of Tromsø, Tromsø, Norway
| | - Øystein P. Nygaard
- Department of Neurosurgery, St Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- National Advisory Unit on Spinal Surgery, St Olavs University Hospital, Trondheim, Norway
| | - Øyvind O. Salvesen
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sasha Gulati
- Department of Neurosurgery, St Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- National Advisory Unit on Spinal Surgery, St Olavs University Hospital, Trondheim, Norway
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Mikolaizak AS, Taraldsen K, Boulton E, Gordt K, Maier AB, Mellone S, Hawley-Hague H, Aminian K, Chiari L, Paraschiv-Ionescu A, Pijnappels M, Todd C, Vereijken B, Helbostad JL, Becker C. Impact of adherence to a lifestyle-integrated programme on physical function and behavioural complexity in young older adults at risk of functional decline: a multicentre RCT secondary analysis. BMJ Open 2022; 12:e054229. [PMID: 36198449 PMCID: PMC9535207 DOI: 10.1136/bmjopen-2021-054229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
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.
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Affiliation(s)
- A Stefanie Mikolaizak
- Department of Clinical Gerontology, Robert-Bosch-Krankenhaus GmbH, Stuttgart, Germany
| | - Kristin Taraldsen
- Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Elisabeth Boulton
- School of Health Sciences, The University of Manchester, Manchester, UK
- Health & Care Policy, Age UK, London, UK
- Manchester Academic Health Science Centre, Manchester, UK
| | - Katharina Gordt
- Department of Clinical Gerontology, Robert-Bosch-Krankenhaus GmbH, Stuttgart, Germany
| | - Andrea Britta Maier
- Department of Human Movement Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sabato Mellone
- Department of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy
| | - Helen Hawley-Hague
- School of Health Sciences, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Manchester, UK
| | - Kamiar Aminian
- Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Lorenzo Chiari
- Department of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy
| | | | - Mirjam Pijnappels
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Chris Todd
- School of Health Sciences, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Manchester, UK
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Clemens Becker
- Department of Clinical Gerontology, Robert-Bosch-Krankenhaus GmbH, Stuttgart, Germany
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11
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Jansen CP, Taraldsen K, Blain H, Becker C. Digital Mobility Assessment for Regulatory and Clinical Endorsement in Hip Fracture Patients. Innov Aging 2021. [PMCID: PMC8969699 DOI: 10.1093/geroni/igab046.3179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Hip fracture is the most frequent non-intentional injury of older persons leading to hospital admission in Europe and North America. Until recently, in regulatory submissions no attention was given to patients’ mobility after sustaining/recovering from a hip fracture. To better evaluate efficacy and effectiveness of new drugs and treatments, it is necessary to develop mobility biomarkers since failure to recover and regain pre-fracture mobility is considered the single most important disability symptom experienced by hip fracture patients, often leading to care home admission. However, regularly used measures of mobility capacity are not representative of individuals’ performance in real life, intermittent in nature, and require visiting study centers. Digital technology has the potential to revolutionize mobility assessment in a real-life setting. With this presentation we build a case for a valid solution for real-world digital mobility assessment in hip fracture patients as carried out in the “Mobilise-D” clinical validation study.
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Affiliation(s)
| | - Kristin Taraldsen
- Norwegian University of Science and Technology, Trondheim, Sor-Trondelag, Norway
| | - Hubert Blain
- Centre Hospitalier Universitaire de Montpellier, Montpellier, Aquitaine, France
| | - Clemens Becker
- Robert-Bosch-Hospital, Stuttgart, Baden-Wurttemberg, Germany
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12
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Mazzà C, Alcock L, Aminian K, Becker C, Bertuletti S, Bonci T, Brown P, Brozgol M, Buckley E, Carsin AE, Caruso M, Caulfield B, Cereatti A, Chiari L, Chynkiamis N, Ciravegna F, Del Din S, Eskofier B, Evers J, Garcia Aymerich J, Gazit E, Hansen C, Hausdorff JM, Helbostad JL, Hiden H, Hume E, Paraschiv-Ionescu A, Ireson N, Keogh A, Kirk C, Kluge F, Koch S, Küderle A, Lanfranchi V, Maetzler W, Micó-Amigo ME, Mueller A, Neatrour I, Niessen M, Palmerini L, Pluimgraaff L, Reggi L, Salis F, Schwickert L, Scott K, Sharrack B, Sillen H, Singleton D, Soltani A, Taraldsen K, Ullrich M, Van Gelder L, Vereijken B, Vogiatzis I, Warmerdam E, Yarnall A, Rochester L. Technical validation of real-world monitoring of gait: a multicentric observational study. BMJ Open 2021; 11:e050785. [PMID: 34857567 PMCID: PMC8640671 DOI: 10.1136/bmjopen-2021-050785] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
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).
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Affiliation(s)
- Claudia Mazzà
- INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, UK
| | - Lisa Alcock
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Kamiar Aminian
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Clemens Becker
- Robert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany
| | - Stefano Bertuletti
- Department of Biomedical Sciences, University of Sassari, Sassari, Sardegna, Italy
| | - Tecla Bonci
- INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, UK
| | - Philip Brown
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Marina Brozgol
- Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Ellen Buckley
- INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, UK
| | - Anne-Elie Carsin
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Marco Caruso
- Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy
- PolitoBIOMed Lab - Biomedical Engineering Lab, Politecnico di Torino, Torino, Italy
| | - Brian Caulfield
- Insight Centre for Data Analytics, O'Brien Science Centre, University College Dublin, Dublin, Ireland
- UCD School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Andrea Cereatti
- Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy
| | - Lorenzo Chiari
- Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy
- Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy
| | - Nikolaos Chynkiamis
- Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK
| | - Fabio Ciravegna
- INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
- Department of Computer Science, The University of Sheffield, Sheffield, UK
| | - Silvia Del Din
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Björn Eskofier
- Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jordi Evers
- McRoberts BV, Den Haag, Zuid-Holland, Netherlands
| | - Judith Garcia Aymerich
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Eran Gazit
- Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Clint Hansen
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
| | - Jeffrey M Hausdorff
- Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Department of Physical Therapy, Sackler Faculty of Medicine & Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Hugo Hiden
- School of Computing, Newcastle University, Newcastle upon Tyne, UK
| | - Emily Hume
- Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK
| | - Anisoara Paraschiv-Ionescu
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Neil Ireson
- INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
- Department of Computer Science, The University of Sheffield, Sheffield, UK
| | - Alison Keogh
- Insight Centre for Data Analytics, O'Brien Science Centre, University College Dublin, Dublin, Ireland
- UCD School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Cameron Kirk
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Felix Kluge
- Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Sarah Koch
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Arne Küderle
- Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Vitaveska Lanfranchi
- INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
- Department of Computer Science, The University of Sheffield, Sheffield, UK
| | - Walter Maetzler
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
| | - M Encarna Micó-Amigo
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Arne Mueller
- Novartis Institutes of Biomedical Research, Novartis Pharma AG, Basel, Switzerland
| | - Isabel Neatrour
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | | | - Luca Palmerini
- Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy
- Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy
| | | | - Luca Reggi
- Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy
| | - Francesca Salis
- Department of Biomedical Sciences, University of Sassari, Sassari, Sardegna, Italy
| | - Lars Schwickert
- Robert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany
| | - Kirsty Scott
- INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, UK
| | - Basil Sharrack
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Henrik Sillen
- Digital Health R&D, AstraZeneca Sweden, Sodertalje, Sweden
| | - David Singleton
- Insight Centre for Data Analytics, O'Brien Science Centre, University College Dublin, Dublin, Ireland
- UCD School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Abolfazi Soltani
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Martin Ullrich
- Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Linda Van Gelder
- INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, UK
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ioannis Vogiatzis
- Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK
| | - Elke Warmerdam
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
| | - Alison Yarnall
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Lynn Rochester
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
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Taraldsen K, Helbostad JL, Follestad T, Bergh S, Selbæk G, Saltvedt I. Gait, physical function, and physical activity in three groups of home-dwelling older adults with different severity of cognitive impairment - a cross-sectional study. BMC Geriatr 2021; 21:670. [PMID: 34852786 PMCID: PMC8638089 DOI: 10.1186/s12877-021-02598-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 10/30/2021] [Indexed: 11/10/2022] Open
Abstract
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.
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Affiliation(s)
- Kristin Taraldsen
- Department of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University (OsloMet), Oslo, Norway. .,Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. .,Clinic of Clinical Service, St Olav University Hospital, Trondheim, Norway.
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Turid Follestad
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Sverre Bergh
- Research Centre for Age-related Functional Decline and Disease, Innlandet Hospital Trust, Ottestad, Norway.,Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Geriatrics, St Olav University Hospital, Trondheim, Norway
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Polhemus A, Delgado-Ortiz L, Brittain G, Chynkiamis N, Salis F, Gaßner H, Gross M, Kirk C, Rossanigo R, Taraldsen K, Balta D, Breuls S, Buttery S, Cardenas G, Endress C, Gugenhan J, Keogh A, Kluge F, Koch S, Micó-Amigo ME, Nerz C, Sieber C, Williams P, Bergquist R, Bosch de Basea M, Buckley E, Hansen C, Mikolaizak AS, Schwickert L, Scott K, Stallforth S, van Uem J, Vereijken B, Cereatti A, Demeyer H, Hopkinson N, Maetzler W, Troosters T, Vogiatzis I, Yarnall A, Becker C, Garcia-Aymerich J, Leocani L, Mazzà C, Rochester L, Sharrack B, Frei A, Puhan M. Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes. NPJ Digit Med 2021; 4:149. [PMID: 34650191 PMCID: PMC8516969 DOI: 10.1038/s41746-021-00513-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/09/2021] [Indexed: 02/08/2023] Open
Abstract
Physical mobility is essential to health, and patients often rate it as a high-priority clinical outcome. Digital mobility outcomes (DMOs), such as real-world gait speed or step count, show promise as clinical measures in many medical conditions. However, current research is nascent and fragmented by discipline. This scoping review maps existing evidence on the clinical utility of DMOs, identifying commonalities across traditional disciplinary divides. In November 2019, 11 databases were searched for records investigating the validity and responsiveness of 34 DMOs in four diverse medical conditions (Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, hip fracture). Searches yielded 19,672 unique records. After screening, 855 records representing 775 studies were included and charted in systematic maps. Studies frequently investigated gait speed (70.4% of studies), step length (30.7%), cadence (21.4%), and daily step count (20.7%). They studied differences between healthy and pathological gait (36.4%), associations between DMOs and clinical measures (48.8%) or outcomes (4.3%), and responsiveness to interventions (26.8%). Gait speed, step length, cadence, step time and step count exhibited consistent evidence of validity and responsiveness in multiple conditions, although the evidence was inconsistent or lacking for other DMOs. If DMOs are to be adopted as mainstream tools, further work is needed to establish their predictive validity, responsiveness, and ecological validity. Cross-disciplinary efforts to align methodology and validate DMOs may facilitate their adoption into clinical practice.
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Affiliation(s)
- Ashley Polhemus
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
| | - Laura Delgado-Ortiz
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Gavin Brittain
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield, Sheffield, England
| | - Nikolaos Chynkiamis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University Newcastle, Newcastle, UK
| | - Francesca Salis
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Heiko Gaßner
- Department of Molecular Neurology, University Hospital Erlangen, Erlangen, Germany
| | - Michaela Gross
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Cameron Kirk
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Rachele Rossanigo
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Diletta Balta
- Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
| | - Sofie Breuls
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
- Department of Respiratory Diseases, University hospitals Leuven, Leuven, Belgium
| | - Sara Buttery
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Gabriela Cardenas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Christoph Endress
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Julia Gugenhan
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Alison Keogh
- Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
| | - Felix Kluge
- Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Sarah Koch
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - M Encarna Micó-Amigo
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Corinna Nerz
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Chloé Sieber
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Parris Williams
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Magda Bosch de Basea
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Ellen Buckley
- Insigneo Institute, Department of Mechanical Engineering, University of Sheffield, Sheffield, UK
| | - Clint Hansen
- Department of Neurology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | | | - Lars Schwickert
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Kirsty Scott
- Insigneo Institute, Department of Mechanical Engineering, University of Sheffield, Sheffield, UK
| | - Sabine Stallforth
- Department of Molecular Neurology, University Hospital Erlangen, Erlangen, Germany
| | - Janet van Uem
- Department of Neurology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Andrea Cereatti
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
| | - Heleen Demeyer
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
- Department of Respiratory Diseases, University hospitals Leuven, Leuven, Belgium
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | | | - Walter Maetzler
- Department of Neurology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Thierry Troosters
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
- Department of Respiratory Diseases, University hospitals Leuven, Leuven, Belgium
| | - Ioannis Vogiatzis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University Newcastle, Newcastle, UK
| | - Alison Yarnall
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Clemens Becker
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Judith Garcia-Aymerich
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Letizia Leocani
- Department of Neurology, San Raffaele University, Milan, Italy
| | - Claudia Mazzà
- Insigneo Institute, Department of Mechanical Engineering, University of Sheffield, Sheffield, UK
| | - Lynn Rochester
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Basil Sharrack
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield, Sheffield, England
| | - Anja Frei
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Milo Puhan
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
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15
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Meisingset I, Bjerke J, Taraldsen K, Gunnes M, Sand S, Hansen AE, Myhre G, Evensen KAI. Patient characteristics and outcome in three different working models of home-based rehabilitation: a longitudinal observational study in primary health care in Norway. BMC Health Serv Res 2021; 21:887. [PMID: 34454475 PMCID: PMC8403406 DOI: 10.1186/s12913-021-06914-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 08/17/2021] [Indexed: 11/21/2022] Open
Abstract
Background The organisation of health care services for older adults varies within and between countries. In Norway, primary care physiotherapy services offer home-based rehabilitation to older adults. The aim of this study was to compare patients’ characteristics and treatment outcomes in three working models of home-based rehabilitation. Methods Patients referred to home-based rehabilitation in a large municipality in Norway were invited to participate in this prospective observational study. The three working models, early intervention, reablement and regular physiotherapy, were organised according to the patients’ function and degree of independence. The older adults (≥ 65 years) were allocated to the different models by either a multidisciplinary group of health care personnel or by direct referral. Patients’ demographic and clinical characteristics, including physical function (Patient-specific functional scale, PSFS), physical performance (Short Physical Performance Battery, SPPB) and health-related quality of life (EQ-5D) were registered at baseline and follow-up (maximum 6 months after baseline). One-way ANOVA was used to analyse group differences in clinical characteristics and paired t-tests to analyse changes from baseline to follow-up. Results In total, 603 and 402 patients (median (interquartile range) age: 84 (77–88) years) completed baseline and follow-up assessments, respectively. Patients in all three working models had an increased risk for functional decline. Patients receiving early intervention (n = 62) had significantly (p < 0.001) better physical performance and health-related quality of life (SPPB mean 7.9, SD 2.7; EQ-5D:mean 0.59, SD 0.19), than patients receiving reablement (n = 132) (SPPB: mean 5.5, SD 2.6; EQ-5D: mean 0.50, SD 0.15) and regular physiotherapy (n = 409) (SPPB: mean 5.6, SD 2.8; EQ-5D: mean 0.41, SD 0.22). At follow-up, the three working models showed significantly improvements in physical function (PSFS: mean change (95 % CI): 2.5 (1.9 to 3.2); 1.8 (0.5 to 3.1); 1.7 (0.8 to 2.6), for regular physiotherapy, reablement, and early intervention, respectively). Patients receiving regular physiotherapy and reablement also significantly improved physical performance and health-related quality of life. Conclusions While older adults receiving reablement and regular physiotherapy showed similar patient characteristics and treatment outcomes, early intervention identified older patients at risk of functional decline at an earlier stage. These results are relevant for policy makers when designing and improving prevention and rehabilitation strategies in primary health care.
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Affiliation(s)
- Ingebrigt Meisingset
- Department of Public Health and Nursing, NTNU, Trondheim, Norway. .,Unit for Physiotherapy Services, Trondheim Municipality, Trondheim, Norway.
| | - Joakim Bjerke
- Unit for Physiotherapy Services, Trondheim Municipality, Trondheim, Norway.,Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Mari Gunnes
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Sylvi Sand
- Unit for Physiotherapy Services, Trondheim Municipality, Trondheim, Norway
| | - Anne E Hansen
- Unit for Physiotherapy Services, Trondheim Municipality, Trondheim, Norway
| | - Gard Myhre
- Unit for Physiotherapy Services, Trondheim Municipality, Trondheim, Norway
| | - Kari Anne I Evensen
- Department of Public Health and Nursing, NTNU, Trondheim, Norway.,Unit for Physiotherapy Services, Trondheim Municipality, Trondheim, Norway.,Department of Clinical and Molecular Medicine, NTNU, Trondheim, Norway.,Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway
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16
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Goodall G, Taraldsen K, Granbo R, Serrano JA. Towards personalized dementia care through meaningful activities supported by technology: A multisite qualitative study with care professionals. BMC Geriatr 2021; 21:468. [PMID: 34418973 PMCID: PMC8380345 DOI: 10.1186/s12877-021-02408-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 08/07/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Person-centred care is widely recognised as important for helping people with dementia maintain a sense of self and purpose in life - especially for those living in care facilities. Despite this, most care practices still adopt a medical approach in which physical needs are prioritized over psychosocial well-being. Addressing the need to find ways of promoting person-centred approaches in care, this study explored care professionals' reflections on a novel, technological intervention (SENSE-GARDEN) that combines multisensory stimuli and digital media to create personalized environments for people with dementia. The aim of this study was to explore the experiences of care professionals who had used SENSE-GARDEN for approximately 1 year. METHODS Three care homes in Norway, Belgium, and Portugal and 1 hospital in Romania used the SENSE-GARDEN with residents/patients with moderate to severe dementia over the course of 1 year. Qualitative data - including observations and interviews with 2 care professionals - were collected at the beginning of the study period from the Norwegian care home to explore initial impressions of the new SENSE-GARDEN room. At the end of the study period, 8 care professionals across the 4 facilities were interviewed for an in-depth exploration of their experiences. The two sets of data were analysed separately through reflexive thematic analysis. RESULTS At the beginning of the study period, the staffs' focus was mainly on the novelty of the new SENSE-GARDEN room and how it provided opportunities for meaningful experiences. Post-intervention, the care professionals provided reflective accounts on how care could be delivered in alternative ways to standard practice. The themes generated from the post-intervention interviews were: "shifting focus onto personalized care", "building and fostering relationships", and "continuous discoveries". Through delivering person-centred care, the professionals reported a sense of purpose and achievement in their work. CONCLUSIONS Professionals from care facilities across 4 different countries highlighted the value of interventions such as SENSE-GARDEN as a way of creating opportunities to better know people with dementia. Thus, they experienced improved relationships and greater job satisfaction. However, delivering person-centred interventions is time-consuming, and future research should evaluate the feasibility of sustaining them on a long-term basis.
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Affiliation(s)
- Gemma Goodall
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Randi Granbo
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - J Artur Serrano
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
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17
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Kampe K, Pfeiffer K, Lindemann U, Schoene D, Taraldsen K, Rapp K, Becker C, Klenk J. Change of physical activity parameters of hip and pelvic fracture patients during inpatient rehabilitation and after discharge: analysis of global and in-depth parameters. Eur Rev Aging Phys Act 2021; 18:9. [PMID: 34118878 PMCID: PMC8199557 DOI: 10.1186/s11556-021-00261-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 05/12/2021] [Indexed: 11/16/2022] Open
Abstract
Background A growing number of older adults suffer hip and pelvic fractures leading to hospital admission. They often result in reduced physical activity (PA) and impaired mobility. PA can be objectively measured with body-worn sensors. Usually, global cumulative PA parameters are analysed, such as walking duration, upright-time and number of steps. These traditional parameters mix different domains of PA, such as physical capacity (PC), behaviour and living environment. We examined the change of global cumulative PA measures during rehabilitation and after discharge in patients with hip or pelvic fracture and whether more ‘in-depth’ PA parameters, such as walking interval length, variability of interval length and sit-to-stand transitions and their changes during rehabilitation and 3 months after discharge might better reflect the above mentioned three clinically relevant domains of PA. Methods This study is a secondary data analysis of a randomised controlled trial to improve PA and fall-related self-efficacy in hip or pelvic fracture patients (≥60 years) with concerns about falling. Changes of accelerometer-measured global cumulative and in-depth PA parameters (activPAL3) were analysed in an observational design before and after discharge combining both groups. For comparison, the same analyses were applied to the traditional PC measures gait speed and 5-chair-rise. Results Seventy-five percent of the 111 study participants were female (mean age: 82.5 (SD = 6.76) years. Daily walking duration, upright time and number of steps as aspects of global PA increased during inpatient rehabilitation as well as afterwards. The in-depth PA parameters showed differing patterns. While the total number of walking bouts increased similarly, the number of longer walking bouts decreased by 50% after discharge. This pattern was also seen for the average walking interval length, which increased by 2.34 s (95% confidence interval (CI): 0.68; 4.00) during inpatient rehabilitation and decreased afterwards below baseline level (− 4.19 s (95% CI: − 5.56; − 2.82)). The traditional PC measures showed similar patterns to the in-depth PA parameters with improvements during rehabilitation, but not at home. Conclusion Our findings suggest that the in-depth PA parameters add further information to the global cumulative PA parameters. Whereas global cumulative PA parameters improved significantly during inpatient rehabilitation and after discharge, in-depth PA parameters as well as PC did not continuously improve at home. In contrast to global cumulative PA parameters the in-depth parameters seem to reflect contextual factors such as the build environment and aspects of PC, which are traditionally assessed by clinical PC measures. These in combination with digital mobility measures can help clinicians to assess the health status of fragility fracture patients, individually tailor therapy measures and monitor the rehabilitation process.
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Affiliation(s)
- Karin Kampe
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany
| | - Klaus Pfeiffer
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany
| | - Ulrich Lindemann
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany
| | - Daniel Schoene
- Institute of Medical Physics, Friedrich-Alexander-University Erlangen-Nürnberg, Henkestr. 91, 91052, Erlangen, Germany
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, N-7491, Trondheim, Norway
| | - Kilian Rapp
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.,Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany
| | - Clemens Becker
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany
| | - Jochen Klenk
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany. .,Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany. .,IB University for Health and Social Sciences, Study Center Stuttgart, Paulinenstraße 45, 70178, Stuttgart, Germany.
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18
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Keogh A, Taraldsen K, Caulfield B, Vereijken B. It's not about the capture, it's about what we can learn": a qualitative study of experts' opinions and experiences regarding the use of wearable sensors to measure gait and physical activity. J Neuroeng Rehabil 2021; 18:78. [PMID: 33975600 PMCID: PMC8111746 DOI: 10.1186/s12984-021-00874-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 04/28/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND The use of wearable sensor technology to collect patient health data, such as gait and physical activity, offers the potential to transform healthcare research. To maximise the use of wearable devices in practice, it is important that they are usable by, and offer value to, all stakeholders. Although previous research has explored participants' opinions of devices, to date, limited studies have explored the experiences and opinions of the researchers who use and implement them. Researchers offer a unique insight into wearable devices as they may have access to multiple devices and cohorts, and thus gain a thorough understanding as to how and where this area needs to progress. Therefore, the aim of this study was to explore the experiences and opinions of researchers from academic, industry and clinical contexts, in the use of wearable devices to measure gait and physical activity. METHODS Twenty professionals with experience using wearable devices in research were recruited from academic, industry and clinical backgrounds. Independent, semi-structured interviews were conducted, audio-recorded and transcribed. Transcribed texts were analysed using inductive thematic analysis. RESULTS Five themes were identified: (1) The positives and negatives of using wearable devices in research, (2) The routine implementation of wearable devices into research and clinical practice, (3) The importance of compromise in protocols, (4) Securing good quality data, and (5) A paradigm shift. Researchers overwhelmingly supported the use of wearable sensor technology due to the insights that they may provide. Though barriers remain, researchers were pragmatic towards these, believing that there is a paradigm shift happening in this area of research that ultimately requires mistakes and significant volumes of further research to allow it to progress. CONCLUSIONS Multiple barriers to the use of wearable devices in research and clinical practice remain, including data management and clear clinical utility. However, researchers strongly believe that the potential benefit of these devices to support and create new clinical insights for patient care, is greater than any current barrier. Multi-disciplinary research integrating the expertise of both academia, industry and clinicians is a fundamental necessity to further develop wearable devices and protocols that match the varied needs of all stakeholders.
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Affiliation(s)
- Alison Keogh
- UCD School of Public Health, Physiotherapy and Sports Science, UCD, Dublin, Ireland.
- Insight Centre for Data Analytics, UCD, 3rd Floor, O'Brien Science Centre East, Belfield, Dublin, Ireland.
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, NTNU, Trondheim, Norway
| | - Brian Caulfield
- UCD School of Public Health, Physiotherapy and Sports Science, UCD, Dublin, Ireland
- Insight Centre for Data Analytics, UCD, 3rd Floor, O'Brien Science Centre East, Belfield, Dublin, Ireland
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, NTNU, Trondheim, Norway
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19
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Goodall G, André L, Taraldsen K, Serrano JA. Supporting identity and relationships amongst people with dementia through the use of technology: a qualitative interview study. Int J Qual Stud Health Well-being 2021; 16:1920349. [PMID: 33955324 PMCID: PMC8118425 DOI: 10.1080/17482631.2021.1920349] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Meaningful activities in dementia care can promote the co-construction of narrative identity in caregiving relationships, helping to preserve the sense of self in people with dementia. Purpose: Informed by symbolic interactionism and Deweyan transactionalism, the aim of this study was to develop a transactional model of how narrative identity and relationships are promoted through the use of a new technological solution, SENSE-GARDEN, that uses digital technologies and multisensory stimuli to facilitate individualized, meaningful activities. Method: We conducted a qualitative interview study to explore the experiences of people with moderate to advanced dementia and their caregivers in Norway and Portugal. After using SENSE-GARDEN for 12–16 weeks, 20 participants (7 persons with dementia and 13 caregivers) were interviewed. The interviews were analysed using reflexive thematic analysis. Results: Three themes were generated: openness, learning, and connection. Findings suggest that SENSE-GARDEN can stimulate emotional experiences, preserve narrative identity, and foster interpersonal relationships. These findings are illustrated through a transactional model. Conclusion: This study highlights the complex multitude of factors affecting person-environment interactions in which narrative identity and relationships are constructed. To better understand these factors, future work should adopt a holistic approach to studying new methods of creating meaningful activities in dementia care.
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Affiliation(s)
- Gemma Goodall
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
| | - Lara André
- Departamento de Ação Social e Saúde (Department of Social Action and Health), Santa Casa Da Misericórdia De Lisboa (SCML), Lisbon, Portugal
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
| | - J Artur Serrano
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, NTNU, Trondheim, Norway.,Norwegian Centre for eHealth Research, University Hospital of North Norway, Tromsø, Norway
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20
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Gordt K, Nerz C, Mikolaizak AS, Taraldsen K, Pijnappels M, Helbostad JL, Vereijken B, Becker C, Schwenk M. Sensitivity to Change and Responsiveness of the Original and the Shortened Version of the Community Balance & Mobility Scale for Young Seniors. Arch Phys Med Rehabil 2021; 102:2102-2108. [PMID: 33932360 DOI: 10.1016/j.apmr.2021.03.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 03/04/2021] [Accepted: 03/29/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To examine sensitivity to change and responsiveness of the Community Balance & Mobility Scale (CBM) and shortened CBM (s-CBM) DESIGN: Secondary analysis using data of a randomized controlled trial SETTING: General community PARTICIPANTS: Community-dwelling seniors aged 61-70 years INTERVENTION: 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 two 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 Young community-dwelling seniors (n=155, 66.2±2.5) were recruited. Inferential statistics revealed a significant CBM (p<0.001) and s-CBM (p<0.001) improvement within the full sample and the subgroups (high-balance: p=0.001, p=0.019; low-balance: p<0.001, p<0.001). 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, small values for the s-CBM (0.29). In the low-balance subgroup, moderate SRM values were found for the CBM (0.67), 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, the s-CBM 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.
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Affiliation(s)
- Katharina Gordt
- Institute of Sports and Sports Sciences, Heidelberg University, Heidelberg, Germany
| | - Corinna Nerz
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - A Stefanie Mikolaizak
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, Australia
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology Trondheim, Trondheim, Norway
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, The Netherlands
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology Trondheim, Trondheim, Norway
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology Trondheim, Trondheim, Norway
| | - Clemens Becker
- Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Michael Schwenk
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany.
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21
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Rojer AGM, Coni A, Mellone S, Van Ancum JM, Vereijken B, Helbostad JL, Taraldsen K, Mikolaizak S, Becker C, Aminian K, Trappenburg MC, Meskers CGM, Maier AB, Pijnappels M. Robustness of In-Laboratory and Daily-Life Gait Speed Measures over One Year in High Functioning 61- to 70-Year-Old Adults. Gerontology 2021; 67:650-659. [PMID: 33752214 DOI: 10.1159/000514150] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 12/13/2020] [Indexed: 11/19/2022] Open
Abstract
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.
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Affiliation(s)
- Anna G M Rojer
- Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Alice Coni
- Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Bologna, Italy
| | - Sabato Mellone
- Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Bologna, Italy
| | - Jeanine M Van Ancum
- Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Stefanie Mikolaizak
- Department of Clinical Gerontology, Robert-Bosch Hospital, Stuttgart, Germany
| | - Clemens Becker
- Department of Clinical Gerontology, Robert-Bosch Hospital, Stuttgart, Germany
| | - Kamiar Aminian
- Metrology Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Marijke C Trappenburg
- Department of Internal Medicine, Amstelland Hospital, Amstelveen, The Netherlands.,Department of Internal Medicine, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands
| | - Carel G M Meskers
- Department of Rehabilitation Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Andrea B Maier
- Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.,Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands,
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22
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Bergquist R, Nerz C, Taraldsen K, Mellone S, Ihlen EA, Vereijken B, Helbostad JL, Becker C, Mikolaizak AS. Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test. Sensors (Basel) 2020; 20:s20174987. [PMID: 32899143 PMCID: PMC7506906 DOI: 10.3390/s20174987] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 08/27/2020] [Accepted: 08/31/2020] [Indexed: 01/14/2023]
Abstract
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.
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Affiliation(s)
- Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway; (K.T.); (E.A.F.I.); (B.V.); (J.L.H.)
- Correspondence:
| | - Corinna Nerz
- Department for Clinical Gerontology, Robert-Bosch-Hospital, 70376 Stuttgart, Germany; (C.N.); (C.B.); (A.S.M.)
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway; (K.T.); (E.A.F.I.); (B.V.); (J.L.H.)
| | - Sabato Mellone
- Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, 40136 Bologna, Italy;
| | - Espen A.F. Ihlen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway; (K.T.); (E.A.F.I.); (B.V.); (J.L.H.)
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway; (K.T.); (E.A.F.I.); (B.V.); (J.L.H.)
| | - Jorunn L. Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway; (K.T.); (E.A.F.I.); (B.V.); (J.L.H.)
| | - Clemens Becker
- Department for Clinical Gerontology, Robert-Bosch-Hospital, 70376 Stuttgart, Germany; (C.N.); (C.B.); (A.S.M.)
| | - A. Stefanie Mikolaizak
- Department for Clinical Gerontology, Robert-Bosch-Hospital, 70376 Stuttgart, Germany; (C.N.); (C.B.); (A.S.M.)
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23
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Pfeiffer K, Kampe K, Klenk J, Rapp K, Kohler M, Albrecht D, Büchele G, Hautzinger M, Taraldsen K, Becker C. Effects of an intervention to reduce fear of falling and increase physical activity during hip and pelvic fracture rehabilitation. Age Ageing 2020; 49:771-778. [PMID: 32832985 DOI: 10.1093/ageing/afaa050] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 12/08/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND fear of falling and reduced fall-related self-efficacy are frequent consequences of falls and associated with poorer rehabilitation outcomes. To address these psychological consequences, geriatric inpatient rehabilitation was augmented with a cognitive behavioural intervention ("Step by Step") and evaluated in a RCT. METHODS one hundred fifteen hip and pelvic fracture patients (age = 82.5 years, 70% female) admitted to geriatric inpatient rehabilitation were randomly allocated to the intervention or control group. The intervention consisted of eight additional individual sessions during inpatient rehabilitation, one home visit and four telephone calls delivered over 2 months after discharge. Both groups received geriatric inpatient rehabilitation. Primary outcomes were fall-related self-efficacy (short falls efficacy scale-international) and physical activity as measured by daily walking duration (activPAL3™ sensor) after admission to rehabilitation, before discharge and 1-month post-intervention. RESULTS in covariance analyses, patients in the intervention group showed a significant improvement in fall-related self-efficacy (P = 0.025, d = -0.42), but no difference in total daily walking duration (P = 0.688, d = 0.07) 1-month post-intervention compared to the control condition. Further significant effects in favour of the intervention group were found in the secondary outcomes "perceived ability to manage falls" (P = 0.031, d = 0.41), "physical performance" (short physical performance battery) (P = 0.002, d = 0.58) and a lower "number of falls" (P = 0.029, d = -0.45). CONCLUSIONS the intervention improved psychological and physical performance measures but did not increase daily walking duration. For the inpatient part of the intervention further research on the required minimum intensity needed to be effective is of interest. Duration and components used to improve physical activity after discharge should be reconsidered.
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Affiliation(s)
- Klaus Pfeiffer
- Department of Clinical Gerontology and Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Karin Kampe
- Department of Clinical Gerontology and Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany
- Institute for Biomedicine of Aging, Friedrich-Alexander-University Erlangen-Nuremberg, Nuremberg, Germany
| | - Jochen Klenk
- Department of Clinical Gerontology and Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
- IB Hochschule Berlin, Studienzentrum Stuttgart, Stuttgart, Germany
| | - Kilian Rapp
- Department of Clinical Gerontology and Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Michaela Kohler
- Department of Clinical Gerontology and Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Diana Albrecht
- Department of Clinical Gerontology and Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Gisela Büchele
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Martin Hautzinger
- Department of Psychology, Eberhard Karls University, Tubingen, Germany
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Clemens Becker
- Department of Clinical Gerontology and Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany
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24
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Taraldsen K, Mikolaizak AS, Maier AB, Mellone S, Boulton E, Aminian K, Becker C, Chiari L, Follestad T, Gannon B, Paraschiv-Ionescu A, Pijnappels M, Saltvedt I, Schwenk M, Todd C, Yang FB, Zacchi A, van Ancum J, Vereijken B, Helbostad JL. Digital Technology to Deliver a Lifestyle-Integrated Exercise Intervention in Young Seniors-The PreventIT Feasibility Randomized Controlled Trial. Front Digit Health 2020; 2:10. [PMID: 34713023 PMCID: PMC8521904 DOI: 10.3389/fdgth.2020.00010] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 06/29/2020] [Indexed: 12/11/2022] Open
Abstract
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.
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Affiliation(s)
- Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | | | - Andrea B Maier
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Medicine and Aged Care, @AgeMelbourne, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Sabato Mellone
- Department of Electrical, Electronic and Information Engineering ≪Guglielmo Marconi≫, University of Bologna, Bologna, Italy
| | - Elisabeth Boulton
- School of Health Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
| | - Kamiar Aminian
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Clemens Becker
- Department of Clinical Gerontology, Robert Bosch Krankenhaus, Stuttgart, Germany
| | - Lorenzo Chiari
- Department of Electrical, Electronic and Information Engineering ≪Guglielmo Marconi≫, University of Bologna, Bologna, Italy
| | - Turid Follestad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Brenda Gannon
- Centre for Business and Economics of Health, The University of Queensland, Brisbane, QLD, Australia
| | - Aniosora Paraschiv-Ionescu
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Geriatrics, Clinic of Medicine, St Olavs hospital, University Hospital of Trondheim, Trondheim, Norway
| | - Michael Schwenk
- Department of Clinical Gerontology, Robert Bosch Krankenhaus, Stuttgart, Germany
| | - Chris Todd
- School of Health Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.,Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Fan B Yang
- Centre for Health Economics, University of York, York, United Kingdom
| | - Anna Zacchi
- Doxee s.p.a., Modena, Italy.,CINECA, Bologna, Italy
| | - Jeanine van Ancum
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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25
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Polhemus AM, Bergquist R, Bosch de Basea M, Brittain G, Buttery SC, Chynkiamis N, Dalla Costa G, Delgado Ortiz L, Demeyer H, Emmert K, Garcia Aymerich J, Gassner H, Hansen C, Hopkinson N, Klucken J, Kluge F, Koch S, Leocani L, Maetzler W, Micó-Amigo ME, Mikolaizak AS, Piraino P, Salis F, Schlenstedt C, Schwickert L, Scott K, Sharrack B, Taraldsen K, Troosters T, Vereijken B, Vogiatzis I, Yarnall A, Mazza C, Becker C, Rochester L, Puhan MA, Frei A. Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review. BMJ Open 2020; 10:e038704. [PMID: 32690539 PMCID: PMC7371223 DOI: 10.1136/bmjopen-2020-038704] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 05/14/2020] [Accepted: 05/18/2020] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Advances in wearable sensor technology now enable frequent, objective monitoring of real-world walking. Walking-related digital mobility outcomes (DMOs), such as real-world walking speed, have the potential to be more sensitive to mobility changes than traditional clinical assessments. However, it is not yet clear which DMOs are most suitable for formal validation. In this review, we will explore the evidence on discriminant ability, construct validity, prognostic value and responsiveness of walking-related DMOs in four disease areas: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease and proximal femoral fracture. METHODS AND ANALYSIS Arksey and O'Malley's methodological framework for scoping reviews will guide study conduct. We will search seven databases (Medline, CINAHL, Scopus, Web of Science, EMBASE, IEEE Digital Library and Cochrane Library) and grey literature for studies which (1) measure differences in DMOs between healthy and pathological walking, (2) assess relationships between DMOs and traditional clinical measures, (3) assess the prognostic value of DMOs and (4) use DMOs as endpoints in interventional clinical trials. Two reviewers will screen each abstract and full-text manuscript according to predefined eligibility criteria. We will then chart extracted data, map the literature, perform a narrative synthesis and identify gaps. ETHICS AND DISSEMINATION As this review is limited to publicly available materials, it does not require ethical approval. This work is part of Mobilise-D, an Innovative Medicines Initiative Joint Undertaking which aims to deliver, validate and obtain regulatory approval for DMOs. Results will be shared with the scientific community and general public in cooperation with the Mobilise-D communication team. REGISTRATION Study materials and updates will be made available through the Center for Open Science's OSFRegistry (https://osf.io/k7395).
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Affiliation(s)
- Ashley Marie Polhemus
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zürich, Switzerland
| | - Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Magda Bosch de Basea
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Gavin Brittain
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield, Sheffield, UK
| | | | - Nikolaos Chynkiamis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, Tyne and Wear, UK
| | | | - Laura Delgado Ortiz
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Heleen Demeyer
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | - Kirsten Emmert
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | - Judith Garcia Aymerich
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Heiko Gassner
- Department of Molecular Neurology, Erlangen University Hospital, Erlangen, Bayern, Germany
| | - Clint Hansen
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | | | - Jochen Klucken
- Department of Molecular Neurology, Erlangen University Hospital, Erlangen, Bayern, Germany
| | - Felix Kluge
- Machine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - Sarah Koch
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Letizia Leocani
- Department of Neurology, San Raffaele Hospital, Milan, Italy
| | - Walter Maetzler
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | - M Encarna Micó-Amigo
- Translational and Clinical Research Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, Newcastle upon Tyne, UK
| | - A Stefanie Mikolaizak
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - Paolo Piraino
- Department of Research & Early Development Statistics, Bayer AG, Berlin, Germany
| | - Francesca Salis
- Department of Biomedical Sciences, University of Sassari, Sassari, Sardegna, Italy
| | - Christian Schlenstedt
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | - Lars Schwickert
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - Kirsty Scott
- INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, Sheffield, UK
| | - Basil Sharrack
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield, Sheffield, UK
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Thierry Troosters
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Flanders, Belgium
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Ioannis Vogiatzis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, Tyne and Wear, UK
| | - Alison Yarnall
- Translational and Clinical Research Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, Newcastle upon Tyne, UK
| | - Claudia Mazza
- INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, Sheffield, UK
| | - Clemens Becker
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - Lynn Rochester
- Translational and Clinical Research Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, Newcastle upon Tyne, UK
| | - Milo Alan Puhan
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zürich, Switzerland
| | - Anja Frei
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zürich, Switzerland
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26
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Taraldsen K, Boulton E, Helbostad JL, Saltvedt I, Granbo R. Client, caregiver, volunteer, and therapist views on a voluntary supported group exercise programme for older adults with dementia. BMC Geriatr 2020; 20:235. [PMID: 32641000 PMCID: PMC7346355 DOI: 10.1186/s12877-020-01632-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 06/25/2020] [Indexed: 02/08/2023] Open
Abstract
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.
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Affiliation(s)
- Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway. .,Clinic of Clinical Service, St Olav University Hospital, Trondheim, Norway.
| | - Elisabeth Boulton
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.,Department of geriatrics, St Olav University Hospital, Trondheim, Norway
| | - Randi Granbo
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway
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27
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Gordt K, Paraschiv-Ionescu A, Mikolaizak AS, Taraldsen K, Mellone S, Bergquist R, Van Ancum JM, Nerz C, Pijnappels M, Maier AB, Helbostad JL, Vereijken B, Becker C, Aminian K, Schwenk M. The association of basic and challenging motor capacity with mobility performance and falls in young seniors. Arch Gerontol Geriatr 2020; 90:104134. [PMID: 32575015 DOI: 10.1016/j.archger.2020.104134] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 05/15/2020] [Accepted: 05/30/2020] [Indexed: 01/21/2023]
Abstract
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.
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Affiliation(s)
- Katharina Gordt
- Network Aging Research, Heidelberg University, Bergheimer Str. 20, 69115, Heidelberg, Germany.
| | - Anisoara Paraschiv-Ionescu
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015, Lausanne, Switzerland.
| | - A Stefanie Mikolaizak
- Department of Clinical Gerontology and Rehabilitation, Robert Bosch Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany.
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway.
| | - Sabato Mellone
- Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Viale del Risorgimento 2, 40136, Bologna, Italy.
| | - Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway.
| | - Jeanine M Van Ancum
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Corinna Nerz
- Department of Clinical Gerontology and Rehabilitation, Robert Bosch Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany.
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Andrea B Maier
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands; Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Centre for Medical Research Building, Victoria, 3010, Melbourne, Australia.
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway.
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway.
| | - Clemens Becker
- Department of Clinical Gerontology and Rehabilitation, Robert Bosch Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany.
| | - Kamiar Aminian
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015, Lausanne, Switzerland.
| | - Michael Schwenk
- Network Aging Research, Heidelberg University, Bergheimer Str. 20, 69115, Heidelberg, Germany; Department of Clinical Gerontology and Rehabilitation, Robert Bosch Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany; Institute of Sports and Sports Sciences, Heidelberg University, Im Neuenheimer Feld 700, 69120, Heidelberg, Germany.
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Goodall G, Taraldsen K, Serrano JA. The use of technology in creating individualized, meaningful activities for people living with dementia: A systematic review. Dementia (London) 2020; 20:1442-1469. [PMID: 32475166 PMCID: PMC8132010 DOI: 10.1177/1471301220928168] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
There is a growing interest in using technology to provide meaningful activities for people living with dementia. The aim of this systematic review was to identify and explore the different types of digital technologies used in creating individualized, meaningful activities for people living with dementia. From 1414 articles identified from searches in four databases, 29 articles were included in the review. The inclusion criteria were the study used digital technology to deliver an individually tailored activity to participants with dementia, the process of individualization was described, and findings relating to the mental, physical, social, and/or emotional well-being of the participant were reported. Data extracted from the included studies included participant demographics, aims, methods, and outcomes. The following information on the technology was also extracted: purpose, type, training, facilitation, and the individualization process. A narrative synthesis of the results grouped the various technologies into four main purposes: reminiscence/memory support, behavior management, stimulating engagement, and conversation/communication support. A broad range of technologies were studied, with varying methods of evaluation implemented to assess their effect. Overall, the use of technology in creating individualized, meaningful activities seems to be promising in terms of improving behavior and promoting relationships with others. Furthermore, most studies in this review involved the person with dementia in the individualization process of the technology, indicating that research in this area is adopting a more co-creative and inclusive approach. However, sample sizes of the included studies were small, and there was a lack of standardized outcome measures. Future studies should aim to build a more concrete evidence base by improving the methodological quality of research in this area. Findings from the review indicate that there is also a need for more evidence concerning the feasibility of implementing these technologies into care environments.
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Affiliation(s)
| | | | - J Artur Serrano
- Norwegian University of Science and Technology, Trondheim, Norway; Norwegian Centre for eHealth Research, University Hospital of North Norway, Tromsø, Norway
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Bergquist R, Vereijken B, Mellone S, Corzani M, Helbostad JL, Taraldsen K. App-based Self-administrable Clinical Tests of Physical Function: Development and Usability Study. JMIR Mhealth Uhealth 2020; 8:e16507. [PMID: 32338616 PMCID: PMC7215517 DOI: 10.2196/16507] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/07/2020] [Accepted: 02/21/2020] [Indexed: 01/30/2023] Open
Abstract
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.
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Affiliation(s)
- Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sabato Mellone
- Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Bologna, Italy
| | - Mattia Corzani
- Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Bologna, Italy
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
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Gordt K, Mikolaizak AS, Taraldsen K, Bergquist R, Van Ancum JM, Nerz C, Pijnappels M, Maier AB, Helbostad JL, Vereijken B, Becker C, Schwenk M. Creating and Validating a Shortened Version of the Community Balance and Mobility Scale for Application in People Who Are 61 to 70 Years of Age. Phys Ther 2020; 100:180-191. [PMID: 31581286 DOI: 10.1093/ptj/pzz132] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 04/30/2019] [Accepted: 06/14/2019] [Indexed: 11/14/2022]
Abstract
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.
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Affiliation(s)
- Katharina Gordt
- Network Aging Research, Heidelberg University, Bergheimer Str 20, 69115 Heidelberg, Germany
| | | | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology
| | - Jeanine M Van Ancum
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, the Netherlands
| | - Corinna Nerz
- Department of Clinical Gerontology, Robert Bosch Hospital
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences
| | - Andrea B Maier
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, and Department of Medicine and Aged Care, @AgeMelbourne, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology
| | - Clemens Becker
- Department of Clinical Gerontology, Robert Bosch Hospital
| | - Michael Schwenk
- Network Aging Research, and Institute of Sports and Sports Sciences, Heidelberg University
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Norvang OP, Hokstad A, Taraldsen K, Tan X, Lydersen S, Indredavik B, Askim T. Correction to: Time spent lying, sitting, and upright during hospitalization after stroke: a prospective observation study. BMC Neurol 2019; 19:8. [PMID: 30634934 PMCID: PMC6329179 DOI: 10.1186/s12883-018-1226-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Taraldsen K, Thingstad P, Døhl Ø, Follestad T, Helbostad JL, Lamb SE, Saltvedt I, Sletvold O, Halsteinli V. Short and long-term clinical effectiveness and cost-effectiveness of a late-phase community-based balance and gait exercise program following hip fracture. The EVA-Hip Randomised Controlled Trial. PLoS One 2019; 14:e0224971. [PMID: 31738792 PMCID: PMC6860934 DOI: 10.1371/journal.pone.0224971] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 10/15/2019] [Indexed: 11/26/2022] Open
Abstract
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.
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Affiliation(s)
- Kristin Taraldsen
- Department of Neuromedicine and Movement Science, NTNU, Faculty of Medicine and Health Sciences, Trondheim, Norway
- * E-mail:
| | - Pernille Thingstad
- Department of Neuromedicine and Movement Science, NTNU, Faculty of Medicine and Health Sciences, Trondheim, Norway
| | - Øystein Døhl
- Trondheim Municipality, Trondheim, Norway
- Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Trondheim, Norway
| | - Turid Follestad
- Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Trondheim, Norway
| | - Jorunn L. Helbostad
- Department of Neuromedicine and Movement Science, NTNU, Faculty of Medicine and Health Sciences, Trondheim, Norway
| | | | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, NTNU, Faculty of Medicine and Health Sciences, Trondheim, Norway
- Department of Geriatrics, St.Olavs University Hospital, Trondheim, Norway
| | - Olav Sletvold
- Department of Neuromedicine and Movement Science, NTNU, Faculty of Medicine and Health Sciences, Trondheim, Norway
| | - Vidar Halsteinli
- Department of Public Health and Nursing, Faculty of Medicine and Health Science, NTNU, Trondheim, Norway
- Regional Center for Health Care Improvement, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Goodall G, Ciobanu I, Taraldsen K, Sørgaard J, Marin A, Draghici R, Zamfir MV, Berteanu M, Maetzler W, Serrano JA. The Use of Virtual and Immersive Technology in Creating Personalized Multisensory Spaces for People Living With Dementia (SENSE-GARDEN): Protocol for a Multisite Before-After Trial. JMIR Res Protoc 2019; 8:e14096. [PMID: 31538942 PMCID: PMC6786690 DOI: 10.2196/14096] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 07/05/2019] [Accepted: 07/07/2019] [Indexed: 11/25/2022] Open
Abstract
Background The number of people living with dementia is rapidly increasing. With dementia’s impact on memory, communication, and self-identity, it is important to identify ways of meeting individual needs of diagnosed individuals and their caregivers. This study will test a new intervention, SENSE-GARDEN, that integrates autobiographical music, films, pictures, and scents with innovative technology to create an immersive environment tailored specifically for the individual. Objective The SENSE-GARDEN study is an Active Assisted Living Program–funded multicenter project. The primary objective of the study is to assess whether a personalized, innovative technology-based intervention can improve the well-being of older adults living with moderate to severe dementia. The study will also assess whether the intervention can improve coping and reduce burden in caregivers. Methods A controlled before-after study design will be used. There will be 3 sites in 3 trial countries: Belgium, Norway, and Portugal. A total of 55 people with dementia (PWDs) will be recruited. All eligible participants for the study will be randomized into the intervention or control group. For the first three months of the study, all participants will receive the SENSE-GARDEN intervention. For the final month of the study, the intervention group will continue visits to the SENSE-GARDEN, and the control group will discontinue visits. A mixed-methods approach will be used, including the use of standardized outcome measures, quantitative physiological data, and qualitative interview data. Results The trials commenced recruitment in August 2019, and all data are expected to be collected by the end of May 2020. A user-centered design process is underway, with results from the first phase of user interviews indicating that people with mild cognitive impairment, family caregivers, and professional caregivers consider the SENSE-GARDEN to be a potentially valuable tool in providing numerous benefits to dementia care. Feasibility testing of the SENSE-GARDEN has been completed and results are expected to be published in October 2019. Conclusions Findings from the SENSE-GARDEN trials will provide insights into the use of technology for personalizing interventions to the PWD. This will have potential implications on not only dementia research, but it may also have influences on care practice. International Registered Report Identifier (IRRID) DERR1-10.2196/14096
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Affiliation(s)
- Gemma Goodall
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ileana Ciobanu
- University of Medicine and Pharmacy Carol Davlia, Bucharest, Romania.,ELIAS University Hospital, Bucharest, Romania
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jon Sørgaard
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Andreea Marin
- University of Medicine and Pharmacy Carol Davlia, Bucharest, Romania.,ELIAS University Hospital, Bucharest, Romania
| | - Rozeta Draghici
- University of Medicine and Pharmacy Carol Davlia, Bucharest, Romania.,ELIAS University Hospital, Bucharest, Romania
| | - Mihai-Viorel Zamfir
- University of Medicine and Pharmacy Carol Davlia, Bucharest, Romania.,ELIAS University Hospital, Bucharest, Romania
| | - Mihai Berteanu
- University of Medicine and Pharmacy Carol Davlia, Bucharest, Romania.,ELIAS University Hospital, Bucharest, Romania
| | - Walter Maetzler
- Department of Neurology, Christian-Albrechts-University, Kiel, Germany
| | - J Artur Serrano
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.,Norwegian Centre for eHealth Research, University Hospital of North Norway, Tromsø, Norway
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Evensen S, Saltvedt I, Lydersen S, Wyller TB, Taraldsen K, Sletvold O. Delirium motor subtypes and prognosis in hospitalized geriatric patients - A prospective observational study. J Psychosom Res 2019; 122:24-28. [PMID: 31126407 DOI: 10.1016/j.jpsychores.2019.04.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 04/30/2019] [Accepted: 04/30/2019] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Delirium is common and associated with poor outcomes. Hypoactive motor subtype may predict worse outcome than no-subtype, hyperactive and mixed delirium, but uncertainty remains due to heterogeneity of results and subtyping tools. Other prognostic aspects across delirium motor subtypes are understudied. We investigated differences in one-year mortality, length of stay and institutionalization at discharge and after one year, across delirium motor subtypes in geriatric patients. METHODS We conducted a prospective observational study, included 311 patients ≥75 years acutely admitted to a geriatric ward, diagnosed delirium using Diagnostic and Statistical Manual of Mental Disorder (5th ed.) criteria and used the Delirium Motor Subtype Scale for subtyping. Differences in mortality across subtypes were investigated using Cox proportional-hazard regression analyses, unadjusted and adjusted for age, comorbidity and delirium severity. We investigated differences in length of stay and institutionalization using the Kruskal-Wallis test and Pearson's chi-squared test with subsequent Hommel-adjusted pairwise comparisons. RESULTS Ninety-three patients (30%) had delirium; 12 (13%) had no-subtype, 27 (29%) hyperactive, 30 (32%) hypoactive and 24 (26%) mixed delirium. There were no group differences regarding mortality (p = .61) or length of stay (p = .32). Analyses indicated group differences regarding discharge to an institution (p = .028), but pairwise comparisons showed no differences (smallest p = .071, no-subtype 45% vs hypoactive 85%). There were no group differences in institutionalization after one year (p = .26). CONCLUSION There were no significant differences in one-year mortality, length of stay or institutionalization across delirium motor subtypes in geriatric patients, although the study may indicate better prognosis in the no-subtype group.
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Affiliation(s)
- Sigurd Evensen
- Department of Geriatrics, St. Olavs Hospital, Trondheim University Hospital, Norway; Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway.
| | - Ingvild Saltvedt
- Department of Geriatrics, St. Olavs Hospital, Trondheim University Hospital, Norway; Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway.
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
| | - Torgeir Bruun Wyller
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway.
| | - Olav Sletvold
- Department of Geriatrics, St. Olavs Hospital, Trondheim University Hospital, Norway; Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway.
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Boulton E, Weber M, Hawley-Hague H, Bergquist R, Van Ancum J, Jonkman NH, Taraldsen K, Helbostad JL, Maier AB, Becker C, Todd C, Clemson L, Schwenk M. Attitudes Towards Adapted Lifestyle-Integrated Functional Exercise Developed for 60-70-Year-Olds: Perceptions of Participants and Trainers. Gerontology 2019; 65:599-609. [PMID: 31216533 DOI: 10.1159/000500778] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 05/06/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Time commitments, limited access, or unwillingness to join a group are some of the many reasons for low adherence to structured exercise in older adults. A promising alternative approach is integrating exercise into daily routines. OBJECTIVE This study tested whether an adapted Lifestyle-integrated Functional Exercise (aLiFE) programme is suitable for adults aged 60-70 years. METHODS The aLiFE approach was evaluated by interviews and focus-groups with participants and trainers following 4-week pre-post intervention pilot study. For data analyses, Framework Approach was used. Coding was managed using NVivo, and subsequently organised into overarching themes. RESULTS Twenty women and 11 men (mean age 66.4 ± 2.7 years) and 6 trainers (30.0 ± 6.2 years; 5 women) participated. Both participants and trainers were positive about the programme. Participants understood the concept of integrating balance, strength and physical activities into daily lives and valued the individual tailoring in the programme, the preventive approach, and the support of trainers. Trainers valued the flexible approach and peer support between trainers. However, both participants and trainers disliked the extensive study paperwork and reported some challenges to integrate activities into daily routines during the compressed intervention: busy and varied lifestyles, embarrassment performing activities in public, pain, difficulty of specific activities. Participants noted habitualisation of some activities within the short intervention period, even without continuous self-monitoring. CONCLUSIONS aLiFE is a highly acceptable intervention amongst adults aged 60-70 years. Trainers are especially relevant as motivators and support providers. The effectiveness of the aLiFE approach should be tested in a randomised controlled trial.
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Affiliation(s)
- Elisabeth Boulton
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre, Manchester, United Kingdom,
| | - Michaela Weber
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Helen Hawley-Hague
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jeanine Van Ancum
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Nini H Jonkman
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Andrea B Maier
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.,Department of Medicine and Aged Care, @AgeMelbourne, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Clemens Becker
- Department of Clinical Gerontology and Geriatric Rehabilitation, Robert-Bosch Hospital, Stuttgart, Germany
| | - Chris Todd
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre, Manchester, United Kingdom.,Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Lindy Clemson
- Faculty of Health Sciences, and Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, New South Wales, Australia
| | - Michael Schwenk
- Network Aging Research, Heidelberg University, Heidelberg, Germany.,Department of Clinical Gerontology and Geriatric Rehabilitation, Robert-Bosch Hospital, Stuttgart, Germany
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Schwenk M, Bergquist R, Boulton E, Van Ancum JM, Nerz C, Weber M, Barz C, Jonkman NH, Taraldsen K, Helbostad J, Vereijken B, Pijnappels M, Maier A, Zhang W, Becker C, Todd C, Clemson L, Hawley-Hague H. The Adapted Lifestyle-Integrated Functional Exercise Program for Preventing Functional Decline in Young Seniors: Development and Initial Evaluation. Gerontology 2019; 65:362-374. [DOI: 10.1159/000499962] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 03/28/2019] [Indexed: 11/19/2022] Open
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Taraldsen K, Mikolaizak AS, Maier AB, Boulton E, Aminian K, van Ancum J, Bandinelli S, Becker C, Bergquist R, Chiari L, Clemson L, French DP, Gannon B, Hawley-Hague H, Jonkman NH, Mellone S, Paraschiv-Ionescu A, Pijnappels M, Schwenk M, Todd C, Yang FB, Zacchi A, Helbostad JL, Vereijken B. Protocol for the PreventIT feasibility randomised controlled trial of a lifestyle-integrated exercise intervention in young older adults. BMJ Open 2019; 9:e023526. [PMID: 30898801 PMCID: PMC6527989 DOI: 10.1136/bmjopen-2018-023526] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION The European population is rapidly ageing. In order to handle substantial future challenges in the healthcare system, we need to shift focus from treatment towards health promotion. The PreventIT project has adapted the Lifestyle-integrated Exercise (LiFE) programme and developed an intervention for healthy young older adults at risk of accelerated functional decline. The intervention targets balance, muscle strength and physical activity, and is delivered either via a smartphone application (enhanced LiFE, eLiFE) or by use of paper manuals (adapted LiFE, aLiFE). METHODS AND ANALYSIS The PreventIT study is a multicentre, three-armed feasibility randomised controlled trial, comparing eLiFE and aLiFE against a control group that receives international guidelines of physical activity. It is performed in three European cities in Norway, Germany, and The Netherlands. The primary objective is to assess the feasibility and usability of the interventions, and to assess changes in daily life function as measured by the Late-Life Function and Disability Instrument scale and a physical behaviour complexity metric. Participants are assessed at baseline, after the 6 months intervention period and at 1 year after randomisation. Men and women between 61 and 70 years of age are randomly drawn from regional registries and respondents screened for risk of functional decline to recruit and randomise 180 participants (60 participants per study arm). ETHICS AND DISSEMINATION Ethical approval was received at all three trial sites. Baseline results are intended to be published by late 2018, with final study findings expected in early 2019. Subgroup and further in-depth analyses will subsequently be published. TRIAL REGISTRATION NUMBER NCT03065088; Pre-results.
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Affiliation(s)
- Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | | | - Andrea B Maier
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Elisabeth Boulton
- School of Health Sciences, University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre and Manchester University NHS Foundation Trust, Manchester, UK
| | - Kamiar Aminian
- Laboratory of Movement Ananlysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Jeanine van Ancum
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Clemens Becker
- Geriatric Medicine, Robert Bosch Krankenhaus, Stuttgart, Germany
| | - Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Lorenzo Chiari
- Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy
| | - Lindy Clemson
- Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - David P French
- School of Psychological Sciences, University of Manchester, Manchester, UK
| | - Brenda Gannon
- Centre for Business and Economics of Health, The University of Queensland, Brisbane, Queensland, Australia
| | | | - Nini H Jonkman
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sabato Mellone
- Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy
| | - Anisoara Paraschiv-Ionescu
- Laboratory of Movement Ananlysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Michael Schwenk
- Department of Clinical Gerontology, Robert Bosch Krankenhaus, Stuttgart, Germany
| | - Chris Todd
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Fan Bella Yang
- Centre for Health Economics, University of York, York, UK
| | | | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Granbo R, Boulton E, Saltvedt I, Helbostad JL, Taraldsen K. My husband is not ill; he has memory loss - caregivers´ perspectives on health care services for persons with dementia. BMC Geriatr 2019; 19:75. [PMID: 30841861 PMCID: PMC6404266 DOI: 10.1186/s12877-019-1090-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 02/26/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To explore informal caregivers' perspectives and perceived needs related to health care services/activities for older adults with dementia, in order to understand barriers and facilitators to participation. The study represents a first step, and explores challenges to overcome, in order to design new activities and services adapted to older adults with dementia. METHODS We used a qualitative approach where eight caregivers of people with a dementia diagnosis were included. We recruited participants from a counselling service centre, for home dwelling people with dementia and their families, in a Norwegian municipality. We transcribed data from two focus group interviews and completed analyses by use of Systematic Text Condensation method. RESULTS The findings indicate that current health care services for people with dementia do not meet the needs of either the people with dementia or their caregivers. The few activities/services offered are characterised by passivity and lack of individual and personalised care. Existing health care services and new activities should consider each individual's resources, interests, and physical function to ensure that both people with dementia and their caregivers want to accept support. CONCLUSIONS To develop health care services and activities for people with dementia, participation and involvement from both people with dementia and their caregivers is necessary. People with dementia are more than their diagnosis. Future health care providers have to widen their focus and consider the individual person with dementia.
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Affiliation(s)
- Randi Granbo
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU, 7491, Trondheim, Norway
| | - Elisabeth Boulton
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU, 7491, Trondheim, Norway.,Department of Geriatrics, St Olav University Hospital, Medisinsk klinikk, Avdeling for geriatri, 7030, Trondheim, Norway
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU, 7491, Trondheim, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU, 7491, Trondheim, Norway.
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Evensen S, Bourke AK, Lydersen S, Sletvold O, Saltvedt I, Wyller TB, Taraldsen K. Motor activity across delirium motor subtypes in geriatric patients assessed using body-worn sensors: a Norwegian cross-sectional study. BMJ Open 2019; 9:e026401. [PMID: 30826800 PMCID: PMC6398701 DOI: 10.1136/bmjopen-2018-026401] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVES It remains unclear if geriatric patients with different delirium motor subtypes express different levels of motor activity. Thus, we used two accelerometer-based devices to simultaneously measure upright activity and wrist activity across delirium motor subtypes in geriatric patients. DESIGN Cross-sectional study. SETTINGS Geriatric ward in a university hospital in Norway. PARTICIPANTS Sixty acutely admitted patients, ≥75 years, with DSM-5-delirium. OUTCOME MEASURES Upright activity measured as upright time (minutes) and sit-to-stand transitions (numbers), total wrist activity (counts) and wrist activity in a sedentary position (WAS, per cent of the sedentary time) during 24 hours ongoing Delirium Motor Subtype Scalesubtyped delirium. RESULTS Mean age was 86.7 years. 15 had hyperactive, 20 hypoactive, 17 mixed and 8 had no-subtype delirium. We found more upright time in the no-subtype group than in the hypoactive group (119.3 vs 37.8 min, p=0.042), but no differences between the hyperactive, the hypoactive and the mixed groups (79.1 vs 37.8 vs 50.1 min, all p>0.28). The no-subtype group had a higher number of transitions than the hypoactive (54.3 vs 17.4, p=0.005) and the mixed groups (54.3 vs 17.5, p=0.013). The hyperactive group had more total wrist activity than the hypoactive group (1.238×104 vs 586×104 counts, p=0.009). The hyperactive and the mixed groups had more WAS than the hypoactive group (20% vs 11%, p=0.032 and 19% vs 11%, p=0.049). CONCLUSIONS Geriatric patients with delirium demonstrated a low level of upright activity, with no differences between the hyperactive, hypoactive and mixed groups, possibly due to poor gait function. The hyperactive and mixed groups had more WAS than the hypoactive group, indicating true differences in motor activity across delirium motor subtypes, also in geriatric patients. Wrist activity appears more suitable than an upright activity for both diagnostic purposes and activity monitoring in geriatric delirium.
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Affiliation(s)
- Sigurd Evensen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Geriatrics, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Alan Kevin Bourke
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Faculty of Medicine and Health Sciences, NTNU, Trondheim, Norway
| | - Olav Sletvold
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Geriatrics, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Torgeir Bruun Wyller
- Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
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Bergquist R, Weber M, Schwenk M, Ulseth S, Helbostad JL, Vereijken B, Taraldsen K. Performance-based clinical tests of balance and muscle strength used in young seniors: a systematic literature review. BMC Geriatr 2019; 19:9. [PMID: 30626340 PMCID: PMC6327480 DOI: 10.1186/s12877-018-1011-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 12/11/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Many balance and strength tests exist that have been designed for older seniors, often aged ≥70 years. To guide strategies for preventing functional decline, valid and reliable tests are needed to detect early signs of functional decline in young seniors. Currently, little is known about which tests are being used in young seniors and their methodological quality. This two-step review aims to 1) identify commonly used tests of balance and strength, and 2) evaluate their measurement properties in young seniors. METHODS First, a systematic literature search was conducted in MEDLINE to identify primary studies that employed performance-based tests of balance and muscle strength, and which aspects of balance and strength these tests assess in young seniors aged 60-70. Subsequently, for tests used in ≥3 studies, a second search was performed to identify method studies evaluating their measurement properties. The quality of included method studies was evaluated using the Consensus-based Standards for selection of health Measurement Instruments (COSMIN) checklist. RESULTS Of 3454 articles identified, 295 met the inclusion criteria. For the first objective, 69 balance and 51 muscle strength tests were identified, with variations in administration mode and outcome reporting. Twenty-six balance tests and 15 muscle strength tests were used in ≥3 studies, with proactive balance tests and functional muscle power tests used most often. For the second objective, the search revealed 1880 method studies, of which nine studies (using 5 balance tests and 1 strength test) were included for quality assessment. The Timed Up and Go test was evaluated the most (4 studies), while the Community Balance and Mobility (CBM) scale was the second most assessed test (3 studies). For strength, one study assessed the reliability of the Five times sit-to-stand. CONCLUSION Commonly used balance and muscle strength tests in young seniors vary greatly with regards to administration mode and outcome reporting. Few studies have evaluated measurement properties of these tests when used in young seniors. There is a need for standardisation of existing tests to improve their informative value and comparability. For measuring balance, the CBM is a new and promising tool to detect even small balance deficits in balance in young seniors.
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Affiliation(s)
- Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian Univerity of Science and Technology, Trondheim, Norway.
| | - Michaela Weber
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Michael Schwenk
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany.,Institute of Sports and Sports Sciences, Heidelberg University, Heidelberg, Germany
| | - Synnøve Ulseth
- Department of Neuromedicine and Movement Science, Norwegian Univerity of Science and Technology, Trondheim, Norway
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Norwegian Univerity of Science and Technology, Trondheim, Norway
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian Univerity of Science and Technology, Trondheim, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian Univerity of Science and Technology, Trondheim, Norway
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Evensen S, Saltvedt I, Lydersen S, Wyller TB, Taraldsen K, Sletvold O. Environmental factors and risk of delirium in geriatric patients: an observational study. BMC Geriatr 2018; 18:282. [PMID: 30442109 PMCID: PMC6238358 DOI: 10.1186/s12877-018-0977-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 11/06/2018] [Indexed: 11/22/2022] Open
Abstract
Background Patients with delirium have increased risk of death, dementia and institutionalization, and prognosis differs between delirium motor subtypes. A few studies have identified associations between environmental factors like room-transfers and time spent in the emergency department (ED) and delirium, but no studies have investigated if environmental factors may influence delirium motor subtypes. We wanted to explore if potentially stressful events like ward-transfers, arriving ED at nighttime, time spent in ED and nigthttime investigations were associated with development of delirium (incident delirium) and delirium motor subtypes. Methods We used the DSM-5 criteria to diagnose delirium and the Delirium Motor Subtype Scale for motor subtyping. We defined hyperactive and mixed delirium as delirium with hyperactive symptoms, and hypoactive and no-subtype delirium as delirium without hyperactive symptoms. We registered ward-transfers, time of arrival in ED, time spent in ED and nighttime investigations (8 p.m. to 8 a.m.), and calculated Global Deterioration Scale (GDS) and Cumulative Illness Rating Scale (CIRS) to adjust for cognitive impairment and comorbidity. We used logistic regression analyses with incident delirium and delirium with hyperactive symptoms as outcome variables, and ward-transfers, arriving ED at nighttime, time spent in ED and nighttime investigations as exposure variables, adjusting for age, GDS and CIRS in the analyses for incident delirium. Results We included 254 patients, mean age 86.1 years (SD 5.2), 49 (19.3%) had incident delirium, 22 with and 27 without hyperactive symptoms. There was a significant association between nighttime investigations and incident delirium in both the unadjusted (odds ratio (OR) 2.22, 95% confidence interval (CI) 1.17 to 4.22, p = 0.015) and the multiadjusted model (OR 2.61, CI 1.26 to 5.40, p = 0.010). There were no associations between any other exposure variables and incident delirium. No exposure variables were associated with delirium motor subtypes. Conclusions Nighttime investigations were associated with incident delirium, even after adjusting for age, cognitive impairment and comorbidity. We cannot out rule that the medical condition leading to nighttime investigations is the true delirium-trigger, so geriatric patients must still receive emergency investigations at nighttime. Hospital environment in broad sense may be a target for delirium prevention.
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Affiliation(s)
- Sigurd Evensen
- Department of Geriatrics, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway. .,Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), N-7491, Trondheim, Norway.
| | - Ingvild Saltvedt
- Department of Geriatrics, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.,Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), N-7491, Trondheim, Norway
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Torgeir Bruun Wyller
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), N-7491, Trondheim, Norway
| | - Olav Sletvold
- Department of Geriatrics, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.,Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), N-7491, Trondheim, Norway
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Norvang OP, Hokstad A, Taraldsen K, Tan X, Lydersen S, Indredavik B, Askim T. Time spent lying, sitting, and upright during hospitalization after stroke: a prospective observation study. BMC Neurol 2018; 18:138. [PMID: 30180819 PMCID: PMC6122609 DOI: 10.1186/s12883-018-1134-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 08/20/2018] [Indexed: 11/24/2022] Open
Abstract
Background Early mobilization has been an important part of acute stroke unit treatment. However, early and intense mobilization within the first 24 h post stroke may cause an unfavorable outcome. Recently, objective measurements using body-worn sensors have been applied, enabling continuous monitoring of physical activity in the hospital setting. This study aimed to use body-worn sensors to quantify the amount of physical activity and how activity levels changed over time during hospitalization in patients with acute stroke. We also wanted to investigate which factors were associated with upright and sitting activity. Methods This was a prospective study including patients admitted to hospital within seven days after onset of stroke. Physical activity was measured by two sensors (ActivPALs from PAL Technologies Ltd., Glasgow, UK), one attached on sternum and one on the thigh of the unaffected side, monitoring continuously from inclusion until discharge. Data were processed in Matlab R 2015B and provided information about daily time in lying, sitting, and upright positions, and daily average duration of sitting and upright bouts. A linear mixed model was used to analyze changes over time. Results 58 patients were included (31 women, mean (SD) age; 75.1 (12.0)). Patients were hospitalized for 12.1 (7.6) days and had a mean score on the National Institute of Health Stroke Scale of 6.2 (5.5) points. Time spent sitting and time spent upright increased per day during hospitalization by 22.10 min (95% Confidence interval (CI): 14.96, 29.24) and 3.75 min (95% CI: 1.70, 5.80) respectively. Increased time upright was associated with improved Modified Rankin Scale scores (− 38.09 min, 95% CI: -61.88, − 14.29) and higher Short Physical Performance Battery scores (6.97 min, 95% CI: 1.99, 11.95), while prolonged bouts of sitting were associated with more severe stroke (4.50 min, 95% CI: 0.80, 8.19), and older age (1.72 min, 95% CI: 0.20, 3.26). Conclusions Patients increased their daily time spent sitting and upright during the initial hospital stay after stroke. Prolonged bouts of sitting were associated with older age and more severe strokes. Hence future research should investigate the benefit of interventions aimed at breaking up sitting time after stroke.
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Affiliation(s)
- Ole Petter Norvang
- Department of Neuromedicine and Movement Science, Faculty of Medicine and health science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway. .,Clinical Services, Department of Physiotherapy, St Olavs Hospital, Trondheim University Hospital, NO-7006, Trondheim, Norway.
| | - Anne Hokstad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and health science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Medicine, Department of Stroke, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and health science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Xiangchun Tan
- Department of Neuromedicine and Movement Science, Faculty of Medicine and health science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Care, Department of Mental Health, Faculty of Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Bent Indredavik
- Department of Neuromedicine and Movement Science, Faculty of Medicine and health science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Medicine, Department of Stroke, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Torunn Askim
- Department of Neuromedicine and Movement Science, Faculty of Medicine and health science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Medicine, Department of Stroke, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Weber M, Van Ancum J, Bergquist R, Taraldsen K, Gordt K, Mikolaizak AS, Nerz C, Pijnappels M, Jonkman NH, Maier AB, Helbostad JL, Vereijken B, Becker C, Schwenk M. Concurrent validity and reliability of the Community Balance and Mobility scale in young-older adults. BMC Geriatr 2018; 18:156. [PMID: 29970010 PMCID: PMC6031142 DOI: 10.1186/s12877-018-0845-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 06/25/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND With the growing number of young-older adults (baby-boomers), there is an increasing demand for assessment tools specific for this population, which are able to detect subtle balance and mobility deficits. Various balance and mobility tests already exist, but suffer from ceiling effects in higher functioning older adults. A reliable and valid challenging balance and mobility test is critical to determine a young-older adult's balance and mobility performance and to timely initiate preventive interventions. The aim was to evaluate the concurrent validity, inter- and intrarater reliability, internal consistency, and ceiling effects of a challenging balance and mobility scale, the Community Balance and Mobility Scale (CBM), in young-older adults aged 60 to 70 years. METHODS Fifty-one participants aged 66.4 ± 2.7 years (range, 60-70 years) were assessed with the CBM. The Fullerton Advanced Balance scale (FAB), 3-Meter Tandem Walk (3MTW), 8-level balance scale, Timed-Up-and-Go (TUG), and 7-m habitual gait speed were used to estimate concurrent validity, examined by Spearman correlation coefficient (ρ). Inter- and intrarater reliability were calculated as Intra-class-correlations (ICC), and internal consistency by Cronbach alpha and item-total correlations (ρ). Ceiling effects were determined by obtaining the percentage of participants reaching the highest possible score. RESULTS The CBM significantly correlated with the FAB (ρ = 0.75; p < .001), 3MTW errors (ρ = - 0.61; p < .001), 3MTW time (ρ = - 0.35; p = .05), the 8-level balance scale (ρ = 0.35; p < .05), the TUG (ρ = - 0.42; p < .01), and 7-m habitual gait speed (ρ = 0.46, p < .001). Inter- (ICC2,k = 0.97), intrarater reliability (ICC3,k = 1.00) were excellent, and internal consistency (α = 0.88; ρ = 0.28-0.81) was good to satisfactory. The CBM did not show ceiling effects in contrast to other scales. CONCLUSIONS Concurrent validity of the CBM was good when compared to the FAB and moderate to good when compared to other measures of balance and mobility. Based on this study, the CBM can be recommended to measure balance and mobility performance in the specific population of young-older adults. TRIAL REGISTRATION Trial number: ISRCTN37750605 . (Registered on 21/04/2016).
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Affiliation(s)
- Michaela Weber
- Network Aging Research (NAR), Heidelberg University, Bergheimer Straße 20, DE-69115 Heidelberg, Germany
| | - Jeanine Van Ancum
- Department of Human Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Katharina Gordt
- Network Aging Research (NAR), Heidelberg University, Bergheimer Straße 20, DE-69115 Heidelberg, Germany
| | | | - Corinna Nerz
- Department of Clinical Gerontology, Robert-Bosch Hospital, Stuttgart, Germany
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Nini H. Jonkman
- Department of Human Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Andrea B. Maier
- Department of Human Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Medicine and Aged Care, @AgeMelbourne, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Jorunn L. Helbostad
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Clemens Becker
- Department of Clinical Gerontology, Robert-Bosch Hospital, Stuttgart, Germany
| | - Michael Schwenk
- Network Aging Research (NAR), Heidelberg University, Bergheimer Straße 20, DE-69115 Heidelberg, Germany
- Department of Clinical Gerontology, Robert-Bosch Hospital, Stuttgart, Germany
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44
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Bogen B, Aaslund MK, Ranhoff AH, Taraldsen K, Moe-Nilssen R. The Association between Daily Walking Behavior and Self-Reported Physical Function in Community-Dwelling Older Adults. J Frailty Aging 2018; 6:88-90. [PMID: 28555709 DOI: 10.14283/jfa.2017.12] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Many older people do not participate in organized exercise, and daily walking may be the most substantial contributor to physical activity. To investigate the association between daily walking behavior and self-reported health-related physical function, older community-dwelling volunteers wore activity-registering sensors for three days. Self-reported health-related physical functioning was measured using the SF36 10-item Physical Function subscale. Forty-six participants wore a sensor (mean age 77.6, SD 3.6, 61 % women). In a multiple regression model, steps per day (B=.005, p≤.001) and walks per day (B=-.174, p=.010) were associated with the SF36-PF subscale. The association between physical functioning and walks per day was negative: Those who took many walks per day may have been walking more indoors. Health professionals are likely justified in advising older people to incorporate walking into daily life for health purposes. The cross-sectional design does not allow for inferences about causality.
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Affiliation(s)
- B Bogen
- Bård Bogen, University of Bergen, Postbox 7804, N-5018 Bergen, Norway, E-mail: , Telephone: +4791157142
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45
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Becker C, Bula C, Taraldsen K. INSTRUMENTING GERIATRIC ASSESSMENT WITH BODY-WORN SENSORS—POTENTIAL AND LIMITATIONS. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.4531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
| | - C. Bula
- University of Lausanne Medical Center (CHUV)
| | - K. Taraldsen
- Norwegian University of Science and Technology, Trondheim, Norway
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46
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Weber M, van Ancum J, Bergquist R, Taraldsen K, Maier A, Helbostad J, Becker C, Schwenk M. MEASUREMENT PROPERTIES OF THE COMMUNITY BALANCE AND MOBILITY SCALE IN YOUNG-OLDER ADULTS. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.3251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- M. Weber
- Network Aging Research, Heidelberg University, Heidelberg, Baden-Württemberg, Germany,
| | | | - R. Bergquist
- Norwegian University of Science and Technology, Trondheim, Norway,
| | - K. Taraldsen
- Norwegian University of Science and Technology, Trondheim, Norway,
| | - A.B. Maier
- University of Melbourne, Melbourne, South Australia, Australia,
- VU University, Amsterdam, Netherlands,
| | - J. Helbostad
- Norwegian University of Science and Technology, Trondheim, Norway,
| | - C. Becker
- Robert-Bosch hospital, Stuttgart, Germany
| | - M. Schwenk
- Robert-Bosch hospital, Stuttgart, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Baden-Württemberg, Germany,
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47
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Taraldsen K, Thingstad P, Helbostad J. MEASURING DAILY LIFE PHYSICAL ACTIVITY USING SENSORS FOLLOWING HIP FRACTURE. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.4533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- K. Taraldsen
- Norwegian University of Science and Technology, Trondheim, Norway
| | - P. Thingstad
- Norwegian University of Science and Technology, Trondheim, Norway
| | - J. Helbostad
- Norwegian University of Science and Technology, Trondheim, Norway
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48
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Evensen S, Sletvold O, Lydersen S, Taraldsen K. Physical activity among hospitalized older adults - an observational study. BMC Geriatr 2017; 17:110. [PMID: 28511639 PMCID: PMC5434577 DOI: 10.1186/s12877-017-0499-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 05/05/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Low level of physical activity is common among hospitalized older adults and is associated with worse prognosis. The aim of this paper is to describe the pattern and level of physical activity in a group of hospitalized older adults and to identify factors associated with physical activity. METHODS We measured physical activity on day three after admission using accelerometer based activity monitors and time in upright position as outcome measure. We collected data of physical function (Short Physical Performance Battery, SPPB. 0-12), cognitive function (Mini Mental Status Examination, MMSE, 0-30 and diagnosis of cognitive impairment at discharge, yes/no), personal Activities of Daily Living (p-ADL, Barthel Index, BI, 0-20) and burden of disease (Cumulative Illness Rating Scale, CIRS, 0-56). We analyzed data using univariable and multivariable linear regression models, with time in upright position as dependent variable. RESULTS We recorded physical activity in a consecutive sample of thirty-eight geriatric patients. Their (mean age 82.9 years, SD 6.3) mean time in upright position one day early after admission was 117.1 min (SD 90.1, n = 38). Mean SPPB score was 4.3 (SD 3.3, n = 34). Mean MMSE score was 19.3 (SD 5.3, n = 30), 73% had a diagnosis of cognitive impairment (n = 38). Mean BI score was 16.4 (SD 4.4, n = 36). Mean CIRS score was 17.0 (SD 4.2, n = 38). There was a significant association between SPPB score and time in upright position (p = 0.048): For each one unit increase in SPPB, the expected increase in upright time was 11.7 min. There was no significant association between age (p = 0.608), diagnosis of cognitive impairment (p = 0.794), p-ADL status (p = 0.127), CIRS score (p = 0.218) and time in upright position. The overall model fit was R2 0.431. CONCLUSION Participants' mean time in upright position one day early after admission was almost two hours, indicating a high level of physical activity compared to results from similar studies. Physical function was the only variable significantly associated with physical activity indicating that SPPB could be a useful screening tool and that mobilization regimes should be delivered routinely for patients with reduced physical function.
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Affiliation(s)
- Sigurd Evensen
- Department of Geriatrics, St Olavs University Hospital, Trondheim, Norway. .,Department of Neuromedicine and Movement Science, NTNU, Faculty of Medicine and Health Sciences, Trondheim, Norway.
| | - Olav Sletvold
- Department of Geriatrics, St Olavs University Hospital, Trondheim, Norway.,Department of Neuromedicine and Movement Science, NTNU, Faculty of Medicine and Health Sciences, Trondheim, Norway
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, NTNU, Faculty of Medicine and Health Sciences, Trondheim, Norway
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49
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Helbostad JL, Vereijken B, Becker C, Todd C, Taraldsen K, Pijnappels M, Aminian K, Mellone S. Mobile Health Applications to Promote Active and Healthy Ageing. Sensors (Basel) 2017; 17:s17030622. [PMID: 28335475 PMCID: PMC5375908 DOI: 10.3390/s17030622] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 03/14/2017] [Accepted: 03/15/2017] [Indexed: 11/16/2022]
Abstract
The European population is ageing, and there is a need for health solutions that keep older adults independent longer. With increasing access to mobile technology, such as smartphones and smartwatches, the development and use of mobile health applications is rapidly growing. To meet the societal challenge of changing demography, mobile health solutions are warranted that support older adults to stay healthy and active and that can prevent or delay functional decline. This paper reviews the literature on mobile technology, in particular wearable technology, such as smartphones, smartwatches, and wristbands, presenting new ideas on how this technology can be used to encourage an active lifestyle, and discusses the way forward in order further to advance development and practice in the field of mobile technology for active, healthy ageing.
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Affiliation(s)
- Jorunn L Helbostad
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
| | - Beatrix Vereijken
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
| | - Clemens Becker
- Robert Bosch Foundation for Medical Research, 70184 Stuttgart, Germany.
| | - Chris Todd
- School of Health Sciences, University of Manchester, and South Manchester University Hospital NHS Trust, and Manchester Academic Health Sciences Centre, Manchester M13 9PL, UK.
| | - Kristin Taraldsen
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
| | - Mirjam Pijnappels
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081BT Amsterdam, The Netherlands.
| | - Kamiar Aminian
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland.
| | - Sabato Mellone
- Department of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy.
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50
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Thingstad P, Taraldsen K, Saltvedt I, Sletvold O, Vereijken B, Lamb SE, Helbostad JL. The long-term effect of comprehensive geriatric care on gait after hip fracture: the Trondheim Hip Fracture Trial--a randomised controlled trial. Osteoporos Int 2016; 27:933-942. [PMID: 26370827 DOI: 10.1007/s00198-015-3313-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2015] [Accepted: 09/01/2015] [Indexed: 10/23/2022]
Abstract
SUMMARY At present, most hip fracture patients are treated in orthopaedic wards. This study showed that a relatively short hospital intervention based on principles of comprehensive geriatric assessment resulted in safer and more efficient gait as long as 1 year following the fracture as compared to conventional orthopaedic treatment. INTRODUCTION Hip fracture patients are frail, and the fracture is usually followed by substantial decline in gait function. Few studies have assessed gait characteristics other than gait speed and knowledge about the effect of early intervention on long-term gait outcome is sparse. The purpose of this study was to evaluate the long-term effect of pre- and post-surgery Comprehensive Geriatric Care (CGC) on ability to walk, self-reported mobility and gait characteristics in hip fracture patients. METHODS Two armed, parallel group randomised controlled trial comparing CGC to conventional Orthopaedic Care (OC) in pre- and early post-surgery phase. Hip fracture patients (n = 397), community-dwelling, age >70 years and able to walk at time of the fracture were included. Spatial and temporal gait characteristics were collected using an instrumented walkway (GAITRite® system) 4 and 12 months post-surgery. RESULTS Participants who received CGC had significantly higher gait speed, less asymmetry, better gait control and more efficient gait patterns, more participants were able to walk and participants reported better mobility 4 and 12 months following the fracture as compared to participants receiving OC. CONCLUSIONS Pre- and post-surgery CGC showed an effect on gait as long as 1 year after hip fracture. These findings underscore the importance of targeting the vulnerability of these patients at an early stage to prevent gait decline in the long run. As presently, most hip fracture patients are treated in orthopaedic wards with larger focus on the fracture than on frailty, these results are important to inform new models for hip fracture care.
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Affiliation(s)
- P Thingstad
- Department of Neuroscience, Norwegian University of Science and Technology, PO Box 8905, 7491, Trondheim, Norway.
| | - K Taraldsen
- Department of Neuroscience, Norwegian University of Science and Technology, PO Box 8905, 7491, Trondheim, Norway
| | - I Saltvedt
- Department of Neuroscience, Norwegian University of Science and Technology, PO Box 8905, 7491, Trondheim, Norway
- Department of Geriatrics, St. Olav University Hospital, Trondheim, Norway
| | - O Sletvold
- Department of Neuroscience, Norwegian University of Science and Technology, PO Box 8905, 7491, Trondheim, Norway
- Department of Geriatrics, St. Olav University Hospital, Trondheim, Norway
| | - B Vereijken
- Department of Neuroscience, Norwegian University of Science and Technology, PO Box 8905, 7491, Trondheim, Norway
| | - S E Lamb
- Oxford Clinical Trials Research Unit, University of Oxford, Oxford, UK
| | - J L Helbostad
- Department of Neuroscience, Norwegian University of Science and Technology, PO Box 8905, 7491, Trondheim, Norway
- Department of Clinical Services, St. Olav University Hospital, Trondheim, Norway
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