Evidence map›Paper›PMID 29566746›Full record

Trial reportBMC research notes2018

The influence of a consumer-wearable activity tracker on sedentary time and prolonged sedentary bouts: secondary analysis of a randomized controlled trial.

Robert A Sloan, Youngdeok Kim, Aarti Sahasranaman, Falk Müller-Riemenschneider, Stuart J H Biddle, Eric A Finkelstein

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

Trial report in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01855776 (A Randomized Trial of Economic Incentives to Promote Walking Among Full Time Employees), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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.

NCT01855776 nacompletednot on this map

A Randomized Trial of Economic Incentives to Promote Walking Among Full Time Employees

TypeinterventionalSponsorDuke-NUS Graduate Medical SchoolRan2013 to 2015Enrolled800ConditionsPhysical ActivityArmsFitbit, Cash Incentives, Charitable Incentives, Usual Care
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  6. Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Trial
  7. Article
  8. mHealth Technology and CVD Risk Reduction.Current atherosclerosis reports · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

6 authors at 5 institutions in 4 countries.

Robert A SloanDepartment of Psychosomatic Internal Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan. Robert.Alan.Sloan@gmail.com.
Youngdeok KimTexas Tech University, Lubbock, USA.
Aarti SahasranamanDuke-NUS Medical School, Singapore, Singapore.
Falk Müller-RiemenschneiderNational University of Singapore, Singapore, Singapore.
Stuart J H BiddleUniversity of Southern Queensland, Springfield Central, Australia.
Eric A FinkelsteinDuke-NUS Medical School, Singapore, Singapore.
Duke-NUS Medical School · SGKagoshima University · JPNational University of Singapore · SGTexas Tech University · USUniversity of Southern Queensland · AU

Funding

Ministry of Health -Singapore NCT01855776
6 · The paper itself

Abstract

objectiveA recent meta-analysis surmised pedometers were a useful panacea to independently reduce sedentary time (ST). To further test and expand on this deduction, we analyzed the ability of a consumer-wearable activity tracker to reduce ST and prolonged sedentary bouts (PSB). We originally conducted a 12-month randomized control trial where 800 employees from 13 organizations were assigned to control, activity tracker, or one of two activity tracker plus incentive groups designed to increase step count. The primary outcome was accelerometer measured moderate-to-vigorous physical activity.

resultsWe conducted a secondary analysis on accelerometer measured daily ST and PSB bouts. A general linear mixed model was used to examine changes in ST and prolonged sedentary bouts, followed by between-group pairwise comparisons. Regression analyses were conducted to examine the association of changes in step counts with ST and PSB. The changes in ST and PSB were not statistically significant and not different between the groups (P < 0.05). Increases in step counts were concomitantly associated with decreases in ST and PSB, regardless of intervention (P < 0.05). Caution should be taken when considering consumer-wearable activity trackers as a means to reduce sedentary behavior. Trial registration NCT01855776 Registered: August 8, 2012.

Indexed as

Fitness TrackersSedentary BehaviorAccelerometryAdultAgedExerciseFemaleHealth PromotionHumansMaleMiddle AgedOutcome Assessment, Health CareTime FactorsYoung AdultConsumer-wearable activity trackerFitbitProlonged sedentary boutsSecondary analysis of an RCTSedentary behaviorSedentary time

Identifiers

PMID29566746
PMCPMC5863802
OpenAlexW2794786280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.