Evidence map›Paper›PMID 42033532›Full record

ArticleSleep & breathing = Schlaf & Atmung2026

Sleep phenotypes and clinical outcomes in individuals with chronic obstructive pulmonary disease: A cohort study.

Daniele Dala Pola, Thaiuana Maia Ferreira, Elis Moraes Martins, Leticia Yumi Ogochi, Ana Lívia Trindade, Giovanna Freitas, Maria Gabriela Fernandes, Arthur Eumann Mesas, Raquel Hirata, Fabio Pitta

Abstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Daniele Dala PolaLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil.ORCID http://orcid.org/0000-0003-0718-356X
Thaiuana Maia FerreiraLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil.ORCID http://orcid.org/0000-0003-1650-9867
Elis Moraes MartinsLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil.ORCID http://orcid.org/0009-0002-2841-3088
Leticia Yumi OgochiLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil.ORCID http://orcid.org/0000-0002-6787-5915
Ana Lívia TrindadeLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil.ORCID http://orcid.org/0009-0005-5666-3510
Giovanna FreitasLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil.ORCID http://orcid.org/0009-0008-7939-7384
Maria Gabriela FernandesLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil.ORCID http://orcid.org/0009-0000-4775-7308
Arthur Eumann MesasHealth and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain.ORCID http://orcid.org/0000-0002-0088-8607
Raquel HirataLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil.ORCID http://orcid.org/0000-0002-2515-3623
Fabio PittaLaboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina, Brazil. fabiopitta@uel.br.ORCID http://orcid.org/0000-0002-3369-6660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn COPD, most studies have examined sleep characteristics in isolation, and limited evidence exists regarding sleep phenotypes and their impact on clinical outcomes.

objectiveTo prospectively investigate the impact of sleep phenotypes on several relevant clinical outcomes in individuals with COPD.

methodsBased on sleep nighttime assessed at baseline by both objective and subjective methods, individuals were classified into different sleep phenotypes: ‘short sleep’ and ‘high propensity to sleep + average sleep’. Furthermore, in a prospective cohort, individuals were assessed at baseline and after 12 months for lung function, body composition, peripheral muscle strength, functional capacity, daily physical activity (PA) and symptoms of dyspnea, anxiety, and depression.

resultsTwenty-nine individuals with COPD were analyzed. In both subjective and objective assessments, the ‘short sleep’ phenotype showed worsening in more outcomes when compared to the other phenotype, with significant worsening in FEV1 (p = 0.038), dyspnea (p = 0.020), light-intensity PA as % of the day (p = 0.028), sedentary time as % of the day (p = 0.028) and peripheral muscle strength (p = 0.003). Repeated-measures ANOVA showed a significant main effect of time for light PA and sedentary time, with large effect sizes. There was no significant interaction between time and subjective sleep phenotypes, although sedentary time showed a borderline result.

conclusionIndividuals with COPD who present the ‘short sleep’ phenotype show significant worsening in lung function, daily PA and peripheral muscle strength over 12 months. Furthermore, the interaction between sleep duration and phenotype may influence physical activity and sedentary behavior.

Indexed as

PhenotypePulmonary Disease, Chronic ObstructiveSleep Wake DisordersAgedCohort StudiesFemaleHumansMaleMiddle AgedMuscle StrengthProspective StudiesSleep DurationChronic obstructive pulmonary diseaseExercise capacityMental disordersMuscle strengthPhysical activity in daily lifeSleep

Identifiers

PMID42033532
PMCPMC13110220

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LicenceCC BY
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Registered trials

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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.