Evidence map›Paper›PMID 32336245›Full record

ArticleTherapeutic advances in respiratory disease

Patterns and predictors of low physical activity in patients with stable COPD: a longitudinal study.

María Piedad Sánchez-Martínez, Roberto Bernabeu-Mora, Jose Antonio García-Vidal, Josep Benítez-Martínez, Silvana Loana de Oliveira-Sousa, Francesc Medina-Mirapeix

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Article in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

María Piedad Sánchez-MartínezDepartment of Physical Therapy, University of Murcia, Murcia, Spain.
Roberto Bernabeu-MoraDivision of Pneumology, Hospital Morales Meseguer, Department of Physical Therapy, University of Murcia, Avda Marqués de los Velez s/n, Murcia, 30008, Spain.ORCID 0000-0002-7426-2316
Jose Antonio García-VidalDepartment of Physical Therapy, University of Murcia, Murcia, Spain.
Josep Benítez-MartínezDepartment of Physical Therapy, University of Valencia, Valencia, Spain.
Silvana Loana de Oliveira-SousaDepartment of Physical Therapy, University of Murcia, Murcia, Spain.
Francesc Medina-MirapeixDepartment of Physical Therapy, University of Murcia, Murcia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the frequency and negative impact of low physical activity among patients with chronic obstructive pulmonary disease (COPD), little is known about how it persists and remits over time or the factors predicting new states of low physical activity. The aim of the study was to determine the probability of a transition between states of low and nonlow physical activity in a cohort of patients with stable COPD followed for 2 years. We also investigated different potentially modifiable factors to determine whether they can predict new states of low physical activity.

methodsWe prospectively included 137 patients with stable COPD (mean age 66.9 ± 8.3 years). Physical activity was measured at baseline and at 1 and 2 years of follow up. Low physical activity was defined according to energy expenditure by cut-off points from the Fried frailty model. The likelihood of annual transition towards new states and recovery was calculated. We evaluated demographic, frailty, nonrespiratory, and respiratory variables as potential predictors, using generalized estimating equations.

resultsAt baseline, 37 patients (27%) presented with low physical activity. During the study period, a total of 179 annual transitions were identified with nonlow physical activity at the beginning of the year; 17.5% transitioned to low physical activity. In contrast, 34.3% of the 67 transitions that started with low physical activity recovered. Predictors of transition to new states of low physical activity were dyspnea ⩾2 (odds ratio = 3.21; 95% confidence interval: 1.20-8.61) and poor performance on the five sit-to-stand test (odds ratio = 4.75; 95% confidence interval: 1.30-17.47).

conclusionsThe change between levels of low and nonlow physical activity is dynamic, especially for recovery. Annual transitions toward new states of low physical activity are likely among patients with dyspnea or poor performance on the five sit-to-stand test.

Indexed as

ExerciseSedentary BehaviorAgedDisease ProgressionDyspneaFemaleHealth StatusHumansLongitudinal StudiesLungMaleMiddle AgedPrognosisProspective StudiesPulmonary Disease, Chronic ObstructiveRisk Factors5STSCOPDdyspneaphysical activitytransition

Identifiers

PMID32336245
PMCPMC7225798

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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.