Evidence map›Paper›PMID 39219565›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2024

Processing of Sedentary Time and Its Reference Equation in Patients with COPD.

Yoshiaki Minakata, Seigo Sasaki, Yusuke Murakami, Kazumi Kawabe, Hideya Ono

Abstract readValidation Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Yoshiaki MinakataDepartment of Respiratory Medicine, NHO Wakayama Hospital, Hidaka-gun, Wakayama, Japan.ORCID 0000-0001-6993-0917
Seigo SasakiDepartment of Respiratory Medicine, NHO Wakayama Hospital, Hidaka-gun, Wakayama, Japan.
Yusuke MurakamiDepartment of Respiratory Medicine, NHO Wakayama Hospital, Hidaka-gun, Wakayama, Japan.
Kazumi KawabeDepartment of Respiratory Medicine, NHO Wakayama Hospital, Hidaka-gun, Wakayama, Japan.
Hideya OnoDepartment of Respiratory Medicine, NHO Wakayama Hospital, Hidaka-gun, Wakayama, Japan.

Funding

Environmental Restoration and Conservation Agency, JapanNHO-Evidence-based Medicine (EBM) study group, Japan
6 · The paper itself

Abstract

Purpose: Sedentary time (ST) is associated with mortality independent of moderate-to-vigorous physical activity in patients with COPD. The proper processing methods for the measurement data and factors related to ST are still unknown. We investigated several conditions for determining the proper processing of ST accelerometric data and created a reference equation for ST using ST-related factors. Patients and Methods: In Study 1, we evaluated the minimum required number of days to obtain repeatability at different measurement times and assessed the effects of rainy days or weekend days on ST in patients with COPD. In Study 2, we detected the ST-related factors among 28 parameters and created a reference equation for ST using the detected factors. Results: In Study 1, 38 patients with stable COPD were analyzed. The minimum number of days required for repeatability was 3 for 8-h wearing and 2 for 10-h wearing. The ST was significantly prolonged on rainy days, but not on weekends. In Study 2, 216 patients with stable COPD were analyzed. BMI, FEV1%pred, 6MWD, and mMRC were detected as ST-related factors, and a reference equation could be created using these four factors. The equation was validated for patients whose ST was ≥ 6 h. Conclusion: By using properly processed measurement data of ST, we created a reference equation for assessing ST that is expected to be useful for providing individual guidance on the shortening of ST to patients with COPD.

Indexed as

LungPredictive Value of TestsPulmonary Disease, Chronic ObstructiveSedentary BehaviorActigraphyAgedBody Mass IndexExerciseFemaleFitness TrackersForced Expiratory VolumeHumansMaleMiddle AgedReproducibility of ResultsTime Factorsaccelerometerchronic obstructive pulmonary diseasephysical activitysedentary behavior

Identifiers

PMID39219565
PMCPMC11365531

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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.