Evidence map›Paper›PMID 33856352›Full record

Observational studyJMIR mHealth and uHealth2021

Associations of Physical Activity Level and Variability With 6-Month Weight Change Among 26,935 Users of Connected Devices: Observational Real-Life Study.

Douae El Fatouhi, Lidia Delrieu, Catherine Goetzinger, Laurent Malisoux, Aurélie Affret, David Campo, Guy Fagherazzi

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2021. 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
1.0field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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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

7 authors at 3 institutions in 2 countries.

Douae El FatouhiCenter of Research in Epidemiology and Population Health, UMR 1018 INSERM, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France.ORCID 0000-0002-8494-6535
Lidia DelrieuResidual Tumor & Response to Treatment Laboratory (RT2Lab), U932 Immunity and Cancer, INSERM, Institut Curie, Paris, France.ORCID 0000-0003-1240-5390
Catherine GoetzingerDepartment of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID 0000-0002-6377-1078
Laurent MalisouxDepartment of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID 0000-0002-6601-5630
Aurélie AffretCenter of Research in Epidemiology and Population Health, UMR 1018 INSERM, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France.ORCID 0000-0002-6070-1197
David CampoWithings, Issy-les-Moulineaux, France.ORCID 0000-0001-8650-8953
Guy FagherazziCenter of Research in Epidemiology and Population Health, UMR 1018 INSERM, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France.ORCID 0000-0001-5033-5966
Inserm · FRLuxembourg Institute of Health · LUUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity (PA) is a modifiable lifestyle factor that can be targeted to increase energy expenditure and promote weight loss. However, the amount of PA required for weight loss remains inconsistent. Wearable activity trackers constitute a valuable opportunity to obtain objective measurements of PA and study large populations in real-life settings.

objectiveWe aim to study the associations of initial device-assessed PA characteristics (average step counts and step count variability) and their evolution with 6-month weight change.

methodsWe analyzed data from 26,935 Withings-connected device users (wearable activity trackers and digital scales). To assess the initial PA characteristics and their 6-month changes, we used data recorded during the first and sixth 30-day periods of activity tracker use. For each of these periods, we used the monthly mean of daily step values as a proxy for PA level and derived the monthly coefficient of variation (CV) of daily step values to estimate PA level variability. Associations between initial PA characteristics and 6-month weight change were assessed using multivariable linear regression analyses controlled for age, sex, blood pressure, heart rate, and the predominant season. Restricted cubic spline regression was performed to better characterize the continuous shape of the associations between PA characteristics and weight change. Secondary analyses were performed by analyzing the 6-month evolution of PA characteristics in relation to weight change.

resultsOur results revealed that both a greater PA level and lower PA level variability were associated with weight loss. Compared with individuals who were initially in the sedentary category (<5000 steps/day), individuals who were low active (5000-7499 steps/day), somewhat active (7500-9999 steps/day), and active (≥10,000 steps/day) had a 0.21-kg, a 0.52-kg, and a 1.17-kg greater decrease in weight, respectively (95% CI -0.36 to -0.06, -0.70 to -0.33, and -1.42 to -0.93, respectively). Compared with users whose PA level CV was >63%, users whose PA level CV ranged from 51% to 63%, 40% to 51%, and was ≤40%, had a 0.19-kg, a 0.23-kg, and a 0.33-kg greater decrease in weight, respectively (95% CI -0.38 to -0.01, -0.41 to -0.04, and -0.53 to -0.13, respectively). We also observed that each 1000 steps/day increase in PA level over the 6-month follow-up was associated with a 0.26-kg (95% CI -0.29 to -0.23) decrease in weight. No association was found between the 6-month changes in PA level variability and weight change.

conclusionsOur results add to the current body of knowledge that health benefits can be observed below the 10,000 steps/day threshold and suggest that not only increased mean PA level but also greater regularity of the PA level may play important roles in short-term weight loss.

Indexed as

ExerciseFitness TrackersHumansWeight Lossconnected devicesdigital healthdigital scalefree-livingmobile phonephysical activitystep countwearable activity trackersweight lossWithings

Identifiers

PMID33856352
PMCPMC8085744
OpenAlexW3134849185

What Socratic 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 Socratic graph.