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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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Reijnierse EM, Buljan A, Tuttle CSL, van Ancum J, Verlaan S, Meskers CGM, Maier AB. Prevalence of sarcopenia in inpatients 70 years and older using different diagnostic criteria. Nurs Open 2019; 6:377-383. [PMID: 30918687 PMCID: PMC6419296 DOI: 10.1002/nop2.219] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [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] [Received: 07/17/2018] [Revised: 10/20/2018] [Accepted: 10/22/2018] [Indexed: 12/23/2022] Open
Abstract
AIM To compare prevalence rates of sarcopenia applying multiple diagnostic criteria in hospitalized older patients. DESIGN Observational, longitudinal EMPOWER study. METHODS A total of 378 hospitalized inpatients aged 70 years and older were recruited. Muscle mass and strength were measured using bioelectrical impedance analysis and handheld dynamometer respectively. Nine commonly used diagnostic criteria for sarcopenia were applied. Analyses were stratified for sex. RESULTS Mean age was 79.7 years (SD 6.43) and 50.8% were males. Depending on the applied criterion, prevalence of sarcopenia ranged between 12.0-75.9% in males and 3.1-75.3% in females. Males had a higher prevalence of sarcopenia compared with females in all but one of the applied diagnostic criteria. In males, highest prevalence of sarcopenia was found using muscle mass as diagnostic criterion while in females this was observed when using muscle strength. Five male and one female hospitalized older patients were sarcopenic according to all applied diagnostic criteria.
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Affiliation(s)
- Esmee M. Reijnierse
- Department of Medicine and Aged Care, @AgeMelbourneThe Royal Melbourne Hospital, The University of MelbourneMelbourneVictoriaAustralia
| | - Angela Buljan
- Department of Medicine and Aged Care, @AgeMelbourneThe Royal Melbourne Hospital, The University of MelbourneMelbourneVictoriaAustralia
| | - Camilla S. L. Tuttle
- Department of Medicine and Aged Care, @AgeMelbourneThe Royal Melbourne Hospital, The University of MelbourneMelbourneVictoriaAustralia
| | - Jeanine van Ancum
- Faculty of Behavioural and Movement Sciences, Department of Human Movement Sciences, @AgeAmsterdamVrije Universiteit Amsterdam, Amsterdam Movement SciencesAmsterdamThe Netherlands
| | - Sjors Verlaan
- Department of Internal Medicine, Section of Gerontology and GeriatricsVU University Medical CenterAmsterdamThe Netherlands
| | - Carel G. M. Meskers
- Faculty of Behavioural and Movement Sciences, Department of Human Movement Sciences, @AgeAmsterdamVrije Universiteit Amsterdam, Amsterdam Movement SciencesAmsterdamThe Netherlands
- Department of Rehabilitation MedicineVU University Medical CenterAmsterdamThe Netherlands
| | - Andrea B. Maier
- Department of Medicine and Aged Care, @AgeMelbourneThe Royal Melbourne Hospital, The University of MelbourneMelbourneVictoriaAustralia
- Faculty of Behavioural and Movement Sciences, Department of Human Movement Sciences, @AgeAmsterdamVrije Universiteit Amsterdam, Amsterdam Movement SciencesAmsterdamThe Netherlands
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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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