Evidence map›Paper›PMID 40217431›Full record

ArticleJournal of activity, sedentary and sleep behaviors2023

Working at the office or from home during the COVID-19 pandemic: a cross-sectional study of temporal patterns of sitting and non-sitting among normal-weight and overweight Brazilian office workers.

Luiz Augusto Brusaca, David M Hallman, Leticia Bergamin Januario, Nidhi Gupta, Ana Beatriz Oliveira, Svend Erik Mathiassen

Abstract read
In one paragraph

Article in Journal of activity, sedentary and sleep behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Trial
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.

Luiz Augusto BrusacaDepartment of Physical Therapy, Laboratory of Clinical and Occupational Kinesiology, Federal University of São Carlos, Washington Luiz Road, Km 235, SP310, São Carlos, São Paulo, 13565-905, Brazil.
David M HallmanDepartment of Occupational Health Science and Psychology, Centre for Musculoskeletal Research, University of Gävle, 801 76, Gävle, Sweden. David.Hallman@hig.se.
Leticia Bergamin JanuarioDepartment of Occupational Health Science and Psychology, Centre for Musculoskeletal Research, University of Gävle, 801 76, Gävle, Sweden.
Nidhi GuptaNational Research Centre for the Working Environment, Lersø Parkalle 105, 2100, Copenhagen, Denmark.
Ana Beatriz OliveiraDepartment of Physical Therapy, Laboratory of Clinical and Occupational Kinesiology, Federal University of São Carlos, Washington Luiz Road, Km 235, SP310, São Carlos, São Paulo, 13565-905, Brazil.
Svend Erik MathiassenDepartment of Occupational Health Science and Psychology, Centre for Musculoskeletal Research, University of Gävle, 801 76, Gävle, Sweden.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/02004-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/25140-6
6 · The paper itself

Abstract

backgroundThis study documents and compares temporal patterns of physical behaviours, assessed using accelerometry, on working and non-working days among normal-weight (body mass index [BMI] < 25 kg/m

methodsIn this cross-sectional study, behaviours were measured over 7 days using a thigh-worn accelerometer in 43 workers WAO (21 normal-weight and 22 overweight) and 73 workers WFH (33 normal-weight and 40 overweight). 24-h behaviours were completely described in terms of sitting in short (≤ 5 min), moderate (> 5 and ≤ 30 min) and long bouts (> 30 min), non-sitting in short (≤ 5 min) and long bouts (> 5 min), and time-in-bed. These behaviour compositions were transformed into five isometric log-ratios (ilr) coordinates according to compositional data analysis procedures. Differences between workplace (WAO vs. WFH) and BMI groups (normal-weight vs. overweight) were tested using ANCOVA with adjustment for age and gender.

resultsCompared to workers WAO, workers WFH spent more time-in-bed relative to time awake during working days, more time sitting relative to non-sitting, less time in short bouts of sitting relative to moderate and long bouts, less time in moderate bouts of sitting relative to long bouts, and more time non-sitting in short bouts relative to long bouts. Effect sizes [

conclusionsOur findings suggest that WFH and being overweight predispose to more time sitting and less temporal variation in behaviours, thus reinforcing that these workers could likely benefit from interventions to reduce prolonged sitting time and increase variation.

Indexed as

24-h movement behaviourAccelerometryCompositional data analysisObesityOccupational healthPublic health

Identifiers

PMID40217431
PMCPMC11960272

What Socratic holds

Textmetadata
LicenceCC BY
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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.