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Record W1525601133

Fatigue, functional status, health and pulmonary rehabilitation in patients with chronic obstructive pulmonary disease

2007· article· en· W1525601133 on OpenAlexaboutno aff
Kersti Theander

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2007
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsPulmonary diseaseMedicinePulmonary rehabilitationCOPDPhysical therapyRehabilitationPulmonary function testingDiseaseIntensive care medicinePhysical medicine and rehabilitationInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

The aim of this thesis was to describe fatigue, functional limitations due to fatigue and health in patients with chronic obstructive pulmonary disease (COPD), as well as to compare patients with individuals from the general population and to test if pulmonary rehabilitation can reduce fatigue and functional limitations, and thus improve health. A further aim was to test the Fatigue Impact Scale (FIS) among patients with COPD. Two studies (I, II) had a descriptive comparative design with data from 36 and 151 patients with COPD respectively, and 37 and 95 individuals respectively, randomly selected from the general population. One study (III) was a randomised pre-test post-test study with 12 patients with COPD randomised to 12 weeks’ pulmonary rehabilitation and 14 patients in a control group. In a further study (IV), the FIS was tested for validity and reliability among 296 patients with COPD who reported fatigue. Assessments: Structured questions frequency, duration and severity of fatigue, functional limitations due to fatigue with FIS, six minutes’ walking distance, hand grip strength, functional performance and satisfaction with Canadian Occupational Performance Measure and health with St George’s Hospital Respiratory Questionnaire and Short Form-36. Almost half of the patients with COPD had a problem with fatigue every day and experienced fatigue as a severe symptom. More than 44% reported that fatigue was one of the worst symptoms. The experience of fatigue was related to the patients’ functional performance and health perceptions. Patients with COPD experienced a higher frequency, longer daily duration and greater severity of fatigue than individuals from the general population. After a 12 week pulmonary rehabilitation programme, there were no statistically significant differences between the patients randomised to the rehabilitation group and those in the control group. The patients in the rehabilitation group improved walking distances, performance and satisfaction with regard to their own selected activities compared with baseline. Confirmatory factor analysis on the three-factor model proposed for FIS showed that the fit of the model was not acceptable. Further validation of the FIS resulted in a removal of 15 items (FIS-25) and support for Pipers´ theoretical framework of subjective manifestations of fatigue including physical, emotional and cognitive dimensions and a general behavioural factor. The internal consistency, sensitivity and stability correlations of FIS-25 were satisfactory. In conclusion, fatigue is a major concern among patients with COPD, impacting on functioning and health. Interventions with 12 weeks’ pulmonary rehabilitation might not be effective enough to reduce fatigue and the functional limitations due to fatigue. More research is needed to solve the symptom burden of fatigue and its impact on functioning and health in patients with COPD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.285
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

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