Evidence map›Paper›PMID 36198449›Full record

Trial reportBMJ open2022

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.

A Stefanie Mikolaizak, Kristin Taraldsen, Elisabeth Boulton, Katharina Gordt, Andrea Britta Maier, Sabato Mellone, Helen Hawley-Hague, Kamiar Aminian, Lorenzo Chiari, Anisoara Paraschiv-Ionescu and 5 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03065088 (The PreventIT Feasibility Randomised Controlled Trial in Young Older Adults, Comparing Two Lifestyle-integrated Exercise Interventions Delivered by Use of ICT or an Instructor, With a Control Group), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03065088 nacompletednot on this map

The PreventIT Feasibility Randomised Controlled Trial in Young Older Adults, Comparing Two Lifestyle-integrated Exercise Interventions Delivered by Use of ICT or an Instructor, With a Control Group

TypeinterventionalSponsorNorwegian University of Science and TechnologyRan2017 to 2018Enrolled180ConditionsYoung Older AdultsArmsaLIFE, eLIFE, control
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The work Lifestyle-integrated Functional Exercise program for preventing functional decline in employees aged 55 years and older: development and initial evaluation.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
    Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 7 countries.

A Stefanie MikolaizakDepartment of Clinical Gerontology, Robert-Bosch-Krankenhaus GmbH, Stuttgart, Germany Stefanie.Mikolaizak@rbk.de.ORCID 0000-0002-3732-3052
Kristin TaraldsenDepartment of Physiotherapy, Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0002-8466-5450
Elisabeth BoultonSchool of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0003-2791-8295
Katharina GordtDepartment of Clinical Gerontology, Robert-Bosch-Krankenhaus GmbH, Stuttgart, Germany.ORCID 0000-0002-2709-1147
Andrea Britta MaierDepartment of Human Movement Sciences, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0001-7206-1724
Sabato MelloneDepartment of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy.ORCID 0000-0001-7688-0188
Helen Hawley-HagueSchool of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-2451-4482
Kamiar AminianEcole Polytechnique Federale de Lausanne, Lausanne, Switzerland.ORCID 0000-0002-6582-5375
Lorenzo ChiariDepartment of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy.ORCID 0000-0002-2318-4370
Anisoara Paraschiv-IonescuEcole Polytechnique Federale de Lausanne, Lausanne, Switzerland.ORCID 0000-0002-2341-4383
Mirjam PijnappelsDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-8416-2602
Chris ToddSchool of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0001-6645-4505
Beatrix VereijkenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-2231-8138
Jorunn L HelbostadDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-0214-9290
Clemens BeckerDepartment of Clinical Gerontology, Robert-Bosch-Krankenhaus GmbH, Stuttgart, Germany.ORCID 0000-0003-1624-8353
Manchester Academic Health Science Centre · GBRobert Bosch Hospital · DEÉcole Polytechnique Fédérale de Lausanne · CHNorwegian University of Science and Technology · NOUniversity of Bologna · ITOsloMet – Oslo Metropolitan University · NOThe University of Melbourne · AUVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextLong-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.

objectivesTo (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

participantsA multicentre, feasibility randomised controlled trial including participants aged 61-70 years conducted in three European cities.

interventionsSix-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.

resultsWe 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.

conclusionPA 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.

Indexed as

ExerciseLife StyleAgedBehavior TherapyCost-Benefit AnalysisFemaleHumansMaleQuality of LifeTreatment Outcomegeriatric medicinepublic healthsports medicinetelemedicine

Identifiers

PMID36198449
PMCPMC9535207
OpenAlexW4302011007

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.