Literature DB >> 19939478

Electrocardiographic and other clinical correlates of walking ability in older women.

Sara Mutikainen1, Taina Rantanen, Markku Alén, Markku Kauppinen, Jouko Karjalainen, Alfredo Ortega-Alonso, Jaakko Kaprio, Urho M Kujala.   

Abstract

The purpose of this study was to examine how resting electrocardiographic (ECG) and other clinical variables, which can be included in a routine clinical examination, predict walking ability in older women. Three hundred and twenty women (63-75 years) without overt cardiac diseases and apparent mobility limitations were studied. Measurements performed were clinical examination (standard 12-lead resting ECG, assessment of physical activity level, presence of chronic diseases, use of beta-blockers, body mass index (BMI), ability to squat, resting blood pressure) and six-minute walking test. Participants walked 533+/-75 m in the six-minute walking test. The best electrocardiographic predictors of long walking distance were high TV(5) and TII, but their explanation rates were small (4.5% and 3.8%, respectively). In hypertensive participants (systolic blood pressure=SBP> or =160 mmHg), the respective values were 9.3% and 5.8%. The best predictors of long walking distance were ability to squat without limitations and low BMI (15.5% and 13.6%, respectively). Altogether the studied variables explained 36% of the variation in walking distance. The data gathered in clinical examination give useful information for the assessment of walking ability in relatively healthy older women. Resting ECG does not give clinically significant additional information for the assessment in subjects without overt cardiac disease. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19939478     DOI: 10.1016/j.archger.2009.10.011

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  1 in total

1.  A wavelet-based ECG delineation algorithm for 32-bit integer online processing.

Authors:  Luigi Y Di Marco; Lorenzo Chiari
Journal:  Biomed Eng Online       Date:  2011-04-03       Impact factor: 2.819

  1 in total

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