2017
DOI: 10.1249/mss.0000000000001340
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Effects of a Long-Term Physical Activity Program on Activity Patterns in Older Adults

Abstract: Purpose To examine the effect of a long-term structured physical activity intervention on accelerometer-derived metrics of activity pattern changes in mobility-impaired older adults. Methods Participants were randomized to either a physical activity (PA) or health education (HE) program. The PA intervention included a walking regimen with strength, flexibility, and balance training. The HE program featured health-related discussions and a brief upper body stretching routine. Participants (n = 1,341) wore a h… Show more

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Cited by 30 publications
(29 citation statements)
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References 33 publications
(57 reference statements)
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“…For sedentary time, we extracted time spent in bout lengths of 1 minute or more (total sedentary time), 10 minutes or more, 30 minutes or more, and 60 minutes or more. For active time, bout lengths of 1 minute or more (total activity time), 2 minutes or more, 5 minutes or more, and 10 minutes or more were used because significantly less time was spent being active than sedentary …”
Section: Methodsmentioning
confidence: 99%
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“…For sedentary time, we extracted time spent in bout lengths of 1 minute or more (total sedentary time), 10 minutes or more, 30 minutes or more, and 60 minutes or more. For active time, bout lengths of 1 minute or more (total activity time), 2 minutes or more, 5 minutes or more, and 10 minutes or more were used because significantly less time was spent being active than sedentary …”
Section: Methodsmentioning
confidence: 99%
“…PA participants had less sedentary time in bouts of less than 30 minutes than HE participants (−8 to −10 min/d) and more total activity (+3 to +6 min/d), although hospital-related changes were similar between the intervention groups (interaction effect p >. 26). CONCLUSION: Participating in a PA intervention before hospitalization had expected benefits, but participants remained susceptible to hospitalization's detrimental effects on their daily activity levels.…”
mentioning
confidence: 88%
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“…30 Cut-points to estimate time spent in different behaviors were chosen in accordance with previous population-based studies: SB (0-99 counts/min), LIPA (100-2019 counts/min), and MVPA (≥2020 counts/min). 31,32 The daily time spent in SB, LIPA, and MVPA were normalized to the total wear time in each day and averaged over the number of valid days. The software ActiLife 6 (ActiGraph) was used to extract and process the accelerometer data.…”
Section: Data Collectionmentioning
confidence: 99%
“…Providing activity counts as a composite vector magnitude of three orthogonal axes, the GT3X accelerometer has been shown to be a valid and reliable measure for PA when examined against a previous accelerometer model as well as whole‐body indirect calorimetry . Analyses were restricted to participants with at least three valid monitoring days (ie, worn at least 10 hr/day) . Using modified Freedson vector magnitude counts per minute, light intensity PA cut‐points are 200‐2689, and MV intensity PA cut‐points are 2690 or greater.…”
Section: Methodsmentioning
confidence: 99%