Perhimpunan Dokter Paru Indonesia - Predicting change in physical activity following a physical activity intervention
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Predicting change in physical activity following a physical activity intervention

Katy Mitchell1, Louise Sewell1, Sally Singh1 and Sally Singh2
Centre for Exercise and Rehabilitation Science, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom, 2Faculty of Health and Life Sciences, Coventry University, Coventry, United Kingdom

In order to target treatment most effectively, it would be interesting to learn who is most or least likely to improve their physical activity (PA) in response to an intervention aimed at improving PA.

A sample of 39 people with COPD [male n=24; mean (SD) age 66(8) years; FEV1 1.45(0.62) litres; BMI 27.60(5.56)] underwent a six-week home-based self-management programme (SPACE FOR COPD) which aimed to improve PA. A range of measures were taken at baseline and 6 weeks, including age, FEV1, BMI, the Incremental Shuttle Walk Test(ISWT), Endurance Shuttle Walk Test (ESWT), Bristol COPD Knowledge Questionnaire (BCKQ), Hospital Anxiety and Depression Scale(HADS), the Pulmonary Rehabilitation Index of Self-Efficacy (PRAISE), the Chronic Respiratory Questionnaire(CRQ) and Medical Research Council (MRC) dyspnoea grade. The SenseWear Armband (SAB) was worn for 7 days at both time points and time in moderate-vigorous activity (MVPA) in bouts of at least 10 minutes was the primary measure collected.

Time in MVPA in 10 minute bouts increased from median (IQR) 45(10-155) minutes at baseline to 96(28-246) minutes at 6 weeks. Backward stepwise linear regression was performed, entering baseline and change from baseline-6weeks on all measures, to predict change in time spent in MPVA accumulated in bouts. Only baseline MRC dyspnoea grade was significant, and accounted for 10% of the variance.

It was not possible to use baseline or change parameters to adequately predict response in PA levels after a PA intervention. It is likely that PA is influenced by a wider range of factors, including environmental and social, that cannot be accounted for in this kind of modelling.

PDPI Sumatera Utara. 15/04/17.

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