Physical activity and quality of life: assessing the influence of activity frequency, intensity, volume, and motives.

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Title: Physical activity and quality of life: assessing the influence of activity frequency, intensity, volume, and motives.
Authors: Lustyk MKB (AUTHOR), Widman L (AUTHOR), Paschane AAE (AUTHOR), Olson KC (AUTHOR)
Source: Behavioral Medicine. Fall2004, Vol. 30 Issue 3, p124-131. 8p.
Abstract: In the present study, the authors investigated the impact of exercise frequency, intensity, and volume along with exercise motives on quality of life (QOL) reports. The authors assessed exercise habits with the Godin Leisure Time Activity Scale and measured exercise motives with the Reasons for Exercise Inventory. The Quality of Life Inventory assessed satisfaction in 16 domains including health, work, and recreation. High-frequency exercisers reported significantly higher health, helping, and community-related QOL than those who exercised less frequently. The authors noted significantly higher health-related QOL in the heavy volume group compared with the other volume groups. Multiple regression tests revealed that activity intensity and exercise motives significantly predicted QOL reports. The strongest bivariate correlations with QOL existed for mild activity and exercising for fitness and health reasons. Thus, high-frequency activity of mild intensity that produces high kcal utilization and is performed to improve health and fitness has the strongest influence on QOL reports. [ABSTRACT FROM AUTHOR]
Copyright of Behavioral Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Physical activity and quality of life: assessing the influence of activity frequency, intensity, volume, and motives.
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  Data: <searchLink fieldCode="AR" term="%22Lustyk+MKB%22">Lustyk MKB</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Widman+L%22">Widman L</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Paschane+AAE%22">Paschane AAE</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Olson+KC%22">Olson KC</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Behavioral+Medicine%22">Behavioral Medicine</searchLink>. Fall2004, Vol. 30 Issue 3, p124-131. 8p.
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  Data: In the present study, the authors investigated the impact of exercise frequency, intensity, and volume along with exercise motives on quality of life (QOL) reports. The authors assessed exercise habits with the Godin Leisure Time Activity Scale and measured exercise motives with the Reasons for Exercise Inventory. The Quality of Life Inventory assessed satisfaction in 16 domains including health, work, and recreation. High-frequency exercisers reported significantly higher health, helping, and community-related QOL than those who exercised less frequently. The authors noted significantly higher health-related QOL in the heavy volume group compared with the other volume groups. Multiple regression tests revealed that activity intensity and exercise motives significantly predicted QOL reports. The strongest bivariate correlations with QOL existed for mild activity and exercising for fitness and health reasons. Thus, high-frequency activity of mild intensity that produces high kcal utilization and is performed to improve health and fitness has the strongest influence on QOL reports. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Behavioral Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3200/bmed.30.3.124-132
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        Text: English
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              Text: Fall2004
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