Evidence map›Paper›PMID 40229981›Full record

ArticleJournal of activity, sedentary and sleep behaviors2022

A 12-week consumer wearable activity tracker-based intervention reduces sedentary behaviour and improves cardiometabolic health in free-living sedentary adults: a randomised controlled trial.

Wouter M A Franssen, Ine Nieste, Frank Vandereyt, Hans H C M Savelberg, Bert O Eijnde

Registry-linked trialAbstract read
In one paragraph

Article in Journal of activity, sedentary and sleep behaviors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03853018 (The Effectiveness of Consumer Wearable Activity Trackers to Reduce Sedentary Behaviour and Improve Health-related Outcomes in Sedentary Adults), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.

NCT03853018 nacompletednot on this map

The Effectiveness of Consumer Wearable Activity Trackers to Reduce Sedentary Behaviour and Improve Health-related Outcomes in Sedentary Adults

TypeinterventionalSponsorHasselt UniversityRan2018 to 2021Enrolled60ConditionsSedentary LifestyleArmsCWAT intervention, CWAT + motivation intervention group
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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.

Wouter M A FranssenREVAL-Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium. w.franssen@maastrichtuniversity.nl.
Ine NiesteSMRC-Sports Medicine Research Center, BIOMED-Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Frank VandereytDepartment of Cardiology, Virga Jessa Hospital, Heart Centre Hasselt, Hasselt, Belgium.
Hans H C M SavelbergDepartment of Nutrition and Movement Sciences, NUTRIM, School for Nutrition and Translation Research Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
Bert O EijndeSMRC-Sports Medicine Research Center, BIOMED-Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing sedentary behaviour significantly improves cardiometabolic health and plays an important role in the prevention and management of cardiometabolic diseases. However, limited effective strategies have been proposed to combat the negative effects of sedentary lifestyles. Although consumer wearable activity trackers (CWATs) can effectively improve physical activity, they were only included as part of a multiple behaviour change technique. In addition, it is not known whether these devices are also effective to reduce sedentary behaviour. Therefore, we aim to investigate the efficacy of a single component CWAT-only intervention and the added value of a multicomponent (CWATs + motivational interviewing) behaviour change intervention to reduce sedentary behaviour and increase physical activity within sedentary adults.

methodsIn a three-armed randomised controlled trial, 59 (male/female: 21/38) sedentary adults were randomly allocated to a control group (n = 20), a CWAT-only group (n = 20) or the CWAT + group (CWAT + motivational interviewing; n = 19) for 12 weeks. Physical activity and sedentary behaviour were assessed using the activPAL3™ accelerometer. In addition, anthropometrics, blood pressure, plasma lipids and insulin sensitivity using an oral glucose tolerance test were assessed at baseline and after the 12-week intervention period.

resultsAs compared with the control group, the CWAT + group significantly reduced time spent in sedentary behaviour (- 81 min/day, confidence interval [95%]: [- 151, - 12] min/day) and significantly increased step count (+ 3117 [827, 5406] steps/day), standing time (+ 62 [14, 110] min/day), light intensity PA (+ 28 [5, 50] min/day) and moderate-to-vigorous PA (+ 22 [4, 40] min/day). Body fat mass (- 1.67 [- 3.21, - 0.14] kg), percentage body fat (- 1.5 [- 2.9, - 0.1] %), triglyceride concentration (- 0.31 [- 0.62, - 0.01] mmol/l), the 2 h insulin concentration (- 181 [- 409, - 46] pmol/l), the quantitative insulin sensitivity check index (- 0.022 [- 0.043, - 0.008]) and total area under the curve of insulin (- 6464 [- 26837, - 2735] mmol/l min) were significantly reduced in the CWAT + group, compared to the control group. No significant differences within the CWAT-only group were found.

conclusionA 12-week multicomponent CWAT-based intervention (CWAT + motivational interviewing) reduces sedentary time, increases physical activity levels and improves various cardiometabolic health variables in sedentary adults, whereas self-monitoring on itself (CWAT-only group) has no beneficial effects on sedentary time. Trial registration The present study was registered (2018) at clinicaltrials.gov as NCT03853018.

Indexed as

Activity trackerCardiometabolic healthChronic diseaseSedentary behaviourWearables

Identifiers

PMID40229981
PMCPMC11960220

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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.