The effect of ongoing feedback on physical activity levels following an exercise intervention in older adults: a randomised controlled trial protocol.

Katie-Jane Brickwood, Stuart T Smith, Greig Watson, Andrew D Williams

Abstract read

In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it

0cells of the map it votes in

9citing papers in PubMed, 1 pooled it

–field-weighted citation impact

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2019
Pooled it
The effect of the Smart Health Continuous Feedback For Elderly Exercise (SHe CoFFEE) program on mobility: a randomized controlled pilot study.Frontiers in public health · 2024
Trial
Effects of Activity Tracker Use With Health Professional Support or Telephone Counseling on Maintenance of Physical Activity and Health Outcomes in Older Adults: Randomized Controlled Trial.JMIR mHealth and uHealth · 2021
Trial
Capabilities for Using Telemonitoring in Physiotherapy Treatment: Exploratory Qualitative Study.JMIR rehabilitation and assistive technologies · 2024
Article
Effect of first and second German COVID-19 lockdown on physical activity in patients after pulmonary vein isolation.International journal of cardiology. Heart & vasculature · 2021
Article
Development of the Digital Assessment of Precise Physical Activity (DAPPA) Tool for Older Adults.International journal of environmental research and public health · 2020
Article
Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review.JMIR mHealth and uHealth · 2018
Review
Older adults' experiences of using a wearable activity tracker with health professional feedback over a 12-month randomised controlled trial.Digital health
Article
A Feasibility Study for Teaching Older Kidney Transplant Recipients How to Wear and Use an Activity Tracker to Promote Daily Physical Activity.Nephrology nursing journal : journal of the American Nephrology Nurses' Association
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

4 authors.

Katie-Jane BrickwoodSchool of Health Sciences, University of Tasmania, Locked Bag 1322, TAS 7250 Launceston, Australia ; Primary Health Tasmania, TAS 7250 Launceston, Australia.

Stuart T SmithCoffs Harbor Campus, Southern Cross University, NSW 2450 Coffs Harbour, Australia.

Greig WatsonSchool of Health Sciences, University of Tasmania, Locked Bag 1322, TAS 7250 Launceston, Australia.

Andrew D WilliamsSchool of Health Sciences, University of Tasmania, Locked Bag 1322, TAS 7250 Launceston, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical inactivity ranks as a major contributing factor in the development and progression of chronic disease. Lifestyle interventions reduce the progression of chronic disease, however, compliance decreases over time and health effects only persist as long as the new lifestyle is maintained. Telephone counselling (TC) is an effective way to provide individuals with ongoing support to maintain lifestyle changes. Remote physical activity monitoring and feedback (RAMF) via interactive technologies such as activity trackers and smartphones may be a cost-effective alternative to TC, however, this comparison has not been made. This study, therefore, aims to determine the effect of ongoing feedback (TC vs. RAMF) on the maintenance of physical activity following a 12-week individualised lifestyle program, and the effect of this on health risk factors and health services usage. METHODS AND

designA randomised controlled trial with a parallel groups design. A total of 150 adults (≥60 years) who participate in a 12-week face-to-face individualised lifestyle program will be randomised to twelve months of RAMF ( DISCUSSION: The results of this study will help to determine the efficacy of RAMF devices on compliance to prescribed physical activity compared to the current gold standard of TC. If the remote monitoring proves effective, it may provide a cost efficient alternative method of assisting maintenance of behaviour change from lifestyle interventions.

trial registrationACTRN12615001104549. Retrospectively Registered 20/10/2015.

Indexed as

Behaviour changePhysical activity maintenanceRemote feedback

Identifiers

PMID28078090

DOI10.1186/s13102-016-0066-5

PMCPMC5223294

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.