Evidence map›Paper›PMID 30051462›Full record

SynthesisThe Cochrane database of systematic reviews2018

Activity monitors for increasing physical activity in adult stroke survivors.

Elizabeth A Lynch, Taryn M Jones, Dawn B Simpson, Natalie A Fini, Suzanne S Kuys, Karen Borschmann, Sharon Kramer, Liam Johnson, Michele L Callisaya, Niruthikha Mahendran and 3 more

3 registry-linked trialsOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 53 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 7 pooled it
5.8field-weighted citation impact, top 3% 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.

NCT04576598 narecruitingnot on this mapstarted 2020, after this paper: background citation

Assessment of the Level of Physical Activity and Sedentarism of Stroke Survivors in the Valencian Community and Development of a Specific Self-management Program

TypeinterventionalSponsorUniversity of ValenciaRan2020 to 2026Enrolled128ConditionsStroke SequelaeArmsSelf-management program to increase physical activity levels, Education information
NCT06068036 narecruitingnot on this mapstarted 2023, after this paper: background citation

Telehealth Intervention Involving the HEARTS Technical Package and the Use of an Activity Monitor to Increase Physical Activity Level Post-stroke: a Feasibility Randomized Controlled Trial

TypeinterventionalSponsorFederal University of Minas GeraisRan2023 to 2025Enrolled24ConditionsStrokeArmsTelehealth intervention: HEARTS technical package + activity monitor (Smartwatch Mi Band 7®), Telehealth intervention: HEARTS technical package
NCT07569497 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Co-design of a Physical Activity Maintenance Intervention for People With Stroke

TypeinterventionalSponsorUniversity of UlsterRan2024 to 2026Enrolled34ConditionsStrokeArmsPhysical activity maintenance
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 7 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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  5. Interventions for reducing sedentary behaviour in people with stroke.The Cochrane database of systematic reviews · 2021
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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

13 authors at 9 institutions in 1 country.

Elizabeth A LynchAdelaide Nursing School, The University of Adelaide, Adelaide, South Australia, Australia.
Taryn M Jones
Dawn B Simpson
Natalie A Fini
Suzanne S Kuys
Karen Borschmann
Sharon Kramer
Liam Johnson
Michele L Callisaya
Niruthikha Mahendran
Heidi Janssen
Coralie English
ACTIOnS Collaboration
University of Melbourne · AUAustralian Catholic University · AUFlorey Institute of Neuroscience and Mental Health · AUHunter Medical Research Institute · AUHunter New England Local Health District · AUMacquarie University · AUMenzies Institute for Medical ResearchUniversity of Canberra · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is the third leading cause of disability worldwide. Physical activity is important for secondary stroke prevention and for promoting functional recovery. However, people with stroke are more inactive than healthy age-matched controls. Therefore, interventions to increase activity after stroke are vital to reduce stroke-related disability.

objectivesTo summarise the available evidence regarding the effectiveness of commercially available, wearable activity monitors and smartphone applications for increasing physical activity levels in people with stroke. SEARCH

methodsWe searched the Cochrane Stroke Group Trials Register, CENTRAL, MEDLINE, Embase, CINAHL, SPORTDiscus, and the following clinical trial registers: WHO International Clinical Trials Registry Platform, Clinical Trials, EU Clinical Trial Register, ISRCTN Registry, Australian and New Zealand Clinical Trial Registry, and Stroke Trials Registry to 3 March 2018. We also searched reference lists, Web of Science forward tracking, and Google Scholar, and contacted trial authors to obtain further data if required. We did not restrict the search on language or publication status. SELECTION CRITERIA: We included all randomised controlled trials (RCTs) and randomised cross-over trials that included use of activity monitors versus no intervention, another type of intervention, or other activity monitor. Participants were aged 18 years or older with a diagnosis of stroke, in hospital or living in the community. Primary outcome measures were steps per day and time in moderate-to-vigorous intensity activity. Secondary outcomes were sedentary time, time spent in light intensity physical activity, walking duration, fatigue, mood, quality of life, community participation and adverse events. We excluded upper limb monitors that only measured upper limb activity. DATA COLLECTION AND ANALYSIS: We followed standard Cochrane methodology to analyse and interpret the data. At least two authors independently screened titles and abstracts for inclusion. We resolved disagreements by consulting a third review author. We extracted the following data from included studies into a standardised template: type of study, participant population, study setting, intervention and co-interventions, time-frame, and outcomes. We graded levels of bias as high, low, or unclear, and assessed the quality of evidence for each outcome using the GRADE approach. MAIN

resultsWe retrieved 28,098 references, from which we identified 29 potential articles. Four RCTs (in 11 reports) met the inclusion criteria.The sample sizes ranged from 27 to 135 (total 245 participants). Time poststroke varied from less than one week (n = 1), to one to three months (n = 2), or a median of 51 months (n = 1). Stroke severity ranged from a median of one to six on the National Institutes of Health Stroke Scale (NIHSS). Three studies were conducted in inpatient rehabilitation, and one was in a university laboratory. All studies compared use of activity monitor plus another intervention (e.g. a walking retraining programme or an inpatient rehabilitation programme) versus the other intervention alone. Three studies reported on the primary outcome of daily step counts.There was no clear effect for the use of activity monitors in conjunction with other interventions on step count in a community setting (mean difference (MD) -1930 steps, 95% confidence interval (CI) -4410 to 550; 1 RCT, 27 participants; very low-quality evidence), or in an inpatient rehabilitation setting (MD 1400 steps, 95% CI -40 to 2840; 2 RCTs, 83 participants; very low-quality evidence). No studies reported the primary outcome moderate-to-vigorous physical activity, but one did report time spent in moderate and vigorous intensity activity separately: this study reported that an activity monitor in addition to usual inpatient rehabilitation increased the time spent on moderate intensity physical activity by 4.4 minutes per day (95% CI 0.28 to 8.52; 1 RCT, 48 participants; low-quality evidence) compared with usual rehabilitation alone, but there was no clear effect for the use of an activity monitor plus usual rehabilitation for increasing time spent in vigorous intensity physical activity compared to usual rehabilitation (MD 2.6 minutes per day, 95% CI -0.8 to 6; 1 RCT, 48 participants; low-quality evidence). The overall risk of bias was low, apart from high-risk for blinding of participants and study personnel. None of the included studies reported any information relating to adverse effects. AUTHORS'

conclusionsOnly four small RCTs with 274 participants (three in inpatient rehabilitation and one in the community) have examined the efficacy of activity monitors for increasing physical activity after stroke. Although these studies showed activity monitors could be incorporated into practice, there is currently not enough evidence to support the use of activity monitors to increase physical activity after stroke.

Indexed as

ExerciseFitness TrackersSurvivorsAdultAgedAged, 80 and overHumansMiddle AgedRandomized Controlled Trials as TopicStroke RehabilitationTime FactorsYoung Adult

Identifiers

PMID30051462
PMCPMC6513611
OpenAlexW2586485396

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.