Evaluation of Activity Monitors in Controlled and Free-Living Environments

Feito, Yuri; Bassett, David R.; Thompson, Dixie L.

doi:10.1249/mss.0b013e3182351913

Cited by 131 publications

(130 citation statements)

References 37 publications

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“…However, the findings are equivocal, with studies finding good agreement between these two methods [27][28][29] and others showing weak concordance, specifically because GT3X output of count thresholds is less sensitive to detect sitting/standing transitions compared to ActivPAL [6,30]. These controversial results can be partially explained by the variability in studies' conditions (laboratory or free-living), and the fact that previous studies have used different cutoffs to define sedentary time when using accelerometry.…”

Section: Discussionmentioning

confidence: 99%

Validity of GT3X and Actiheart to estimate sedentary time and breaks using ActivPAL as the reference in free-living conditions

et al. 2015

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Section: Discussionmentioning

confidence: 99%

Validity of GT3X and Actiheart to estimate sedentary time and breaks using ActivPAL as the reference in free-living conditions

et al. 2015

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“…During Furlanetto et al's study subjects walked on a treadmill and gait and energy requirements differ from those required during free walking on the ground perhaps not providing a true reflection of domestic physical activity. 19,20 Importantly, standardized walking speeds were not applied and subjects were only monitored for one min meaning a constant pace of walking could not have been reached. 18 These considerations made it difficult to conclude if the SWM could distinguish between walking speeds.…”

Section: Discussionmentioning

confidence: 99%

“…14,19 Furthermore, it has been demonstrated that the reliability of activity monitoring depends on disease severity and the number of days used for analysis. Future research needs to focus on the development of accurate guidelines regarding activity monitoring in order to standardize research protocols so comparisons between different populations can be made more easily.…”

Section: Future Researchmentioning

confidence: 99%

Physical activity monitoring: Addressing the difficulties of accurately detecting slow walking speeds

et al. 2013

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“…The SAM has been validated for use in patients with COPD 32 and is highly accurate in measuring steps across a range of speeds compared with other accelerometers on the market. [33][34][35] Participants were asked to wear the SAM during waking hours for 7 days. The SAM was programmed to record in 1-min epochs; a valid day was defi ned as having Ն 10 h (600 min) of monitor wear.…”

Section: Multivariate Regression Modelsmentioning

confidence: 99%

Patients With COPD With Higher Levels of Anxiety Are More Physically Active

Nguyen

Fan

Herting

et al. 2013

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Epidemiologic studies based on self-reported physical activity (PA) show that higher levels of activ ity are associated with lower risk of incident COPD in smokers and in patients who already have COPD, and with lower risk of acute exacerbations, hospital admissions, and mortality. 1-3 A recent, 4-year, prospective study of patients with COPD showed that objectively measured PA was the best predictor of all-cause mortality compared with a broad range of other prognostic factors, including airfl ow obstruction, exercise performance, cardiovascular status, nutritional and muscular status, systemic infl ammation, health status, depressive symptoms, and dyspnea. Each increase of 1,845 steps per day was associated with a 51% lower risk of death. 4 Objective measures of PA capture what patients actually do vs what they report doing or are capable of doing during a laboratory test. 5 Findings from these studies underscore the critical importance of PA in COPD and the need to better understand how modifi able factors such as psychologic well-being infl uence PA.The prevalence of major depression in patients with moderate to severe COPD is approximately 40%. 6 Nearly 20% of patients had episodes of moderate to severe depression prior to their COPD diagnosis. 7 Anxiety disorders, which have considerable overlap Background: Physical activity (PA) has been found to be an excellent predictor of mortality beyond traditional measures in COPD. We aimed to determine the association between depression and anxiety with accelerometry-based PA in patients with COPD. Methods: We performed a cross-sectional analysis of baseline data from 148 stable patients with COPD enrolled in an ongoing, longitudinal, observational study. We measured PA (total daily step count) with a Stepwatch Activity Monitor over 7 days, depression and anxiety with the Hospital Anxiety and Depression Scales (HADSs), dyspnea with the Shortness of Breath Questionnaire, and functional capacity with the 6-min walk test. Results: Increased anxiety was associated with higher levels of PA such that for every one-point increase in the HADS-Anxiety score there was a corresponding increase of 288 step counts per day ( b 5 288 steps, P , .001), after adjusting for all other variables. Higher levels of depressive symptoms were associated with lower PA ( b 5 2 176 steps, P 5 .02) only when anxiety was in the model. The interaction term for anxiety and depression approached signifi cance ( b 5 26, P 5 .10), suggesting that higher levels of anxiety mitigate the negative effects of depression on PA. Conclusions:The increased PA associated with anxiety in COPD is, to our knowledge, a novel fi nding. However, it is unclear whether anxious patients with COPD are more restless, and use increased psychomotor activity as a coping mechanism, or whether those with COPD who push themselves to be more physically active experience more anxiety symptoms. Future studies should evaluate for anxiety and PA to better inform how to improve clinical outcomes.

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Evaluation of Activity Monitors in Controlled and Free-Living Environments

Cited by 131 publications

References 37 publications

Validity of GT3X and Actiheart to estimate sedentary time and breaks using ActivPAL as the reference in free-living conditions

Validity of GT3X and Actiheart to estimate sedentary time and breaks using ActivPAL as the reference in free-living conditions

Physical activity monitoring: Addressing the difficulties of accurately detecting slow walking speeds

Patients With COPD With Higher Levels of Anxiety Are More Physically Active

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