Evidence map›Paper›PMID 33075100›Full record

ArticlePloS one2020

Fitbit wear-time and patterns of activity in cancer survivors throughout a physical activity intervention and follow-up: Exploratory analysis from a randomised controlled trial.

Sarah J Hardcastle, Ruth Jiménez-Castuera, Chloé Maxwell-Smith, Max K Bulsara, Dana Hince

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 9% 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.

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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Sarah J HardcastleSchool of Health and Human Performance, Dublin City University, Dublin, Ireland.ORCID 0000-0001-8378-3781
Ruth Jiménez-CastueraFaculty of Sport Sciences, University of Extremadura, Cáceres, Spain.ORCID 0000-0002-1377-6495
Chloé Maxwell-SmithSchool of Psychology, Curtin University, Bentley, Perth, Western Australia, Australia.ORCID 0000-0003-1694-2732
Max K BulsaraInstitute for Health Research, University of Notre Dame, Fremantle, Western Australia, Australia.
Dana HinceInstitute for Health Research, University of Notre Dame, Fremantle, Western Australia, Australia.
The University of Notre Dame Australia · AUCurtin University · AUDublin City University · IEUniversidad de Extremadura · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere has been growing interest in the use of smart wearable technology to promote physical activity (PA) behaviour change. However, little is known concerning PA patterns throughout an intervention or engagement with trackers. The objective of the study was to explore patterns of Fitbit-measured PA and wear-time over 24-weeks and their relationship to changes in Actigraph-derived moderate-to-vigorous PA (MVPA).

methodsTwenty-nine intervention participants (88%) from the wearable activity technology and action-planning (WATAAP) trial in colorectal and endometrial cancer survivors accepted a Fitbit friend request from the research team to permit monitoring of Fitbit activity. Daily steps and active minutes were recorded for each participant over the 12-week intervention and throughout the follow-up period to 24-weeks. Accelerometer (GT9X) derived MVPA was assessed at end of intervention (12-weeks) and end of follow-up (24-weeks).

resultsFitbit wear-time over the 24-weeks of data was remarkably consistent, with median adherence score of 100% for all weeks. During the intervention, participants recorded a median 8006 steps/day. Daily step count was slightly increased through week-13 to week-24 with a median of 8191 steps/day (p = 0.039). Actigraph and Fitbit derived measures were highly correlated but demonstrated poor agreement overall. Fitbit measured activity was closest to MVPA measured using Freedson cut-points as no bias was observed.

conclusionsStep count was maintained throughout the trial displaying promise for the effectiveness of smart-wearable interventions to reduce sedentary behaviour beyond the intervention period. Further worthwhile work should compare more advanced smart-wearable technology with accelerometers in order to improve agreement and explore less resource-intensive methods to assess PA that could be scalable.

Indexed as

Cancer SurvivorsActigraphyAgedColorectal NeoplasmsEndometrial NeoplasmsFemaleFitness TrackersHumansMaleMiddle AgedRandomized Controlled Trials as TopicTreatment OutcomeWearable Electronic Devices

Identifiers

PMID33075100
PMCPMC7571692
OpenAlexW3092692245

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.