Older adults' gait disorders present challenges for accurate activity monitoring. The current study compared the accuracy of accelerometer-detected to hand-tallied steps in 50 residential care/assisted living residents. Participants completed two walking trials wearing a Fitbit® Tracker and waist-, wrist-, and ankle-mounted Actigraph GT1M. Agreement between accelerometer and observed counts was calculated using concordance correlation coefficients (CCC), accelerometer to observed count ratios, accelerometer and observed count differences, and Bland-Altman plots. Classification and Regression Tree analysis identified minimum gait speed thresholds to achieve accelerometer accuracy ≥0.80. Participants' mean age was 84.2 and gait speed was 0.64 m/s. All accelerometers underestimated true steps. Only the ankle-mounted GT1M demonstrated positive agreement with observed counts (CCC = 0.205). Thresholds for 0.80 accuracy were gait speeds ≥0.56 m/s for the Fitbit and gait speeds ≥0.71 m/s for the ankle-mounted GT1M. Gait speed and accelerometer placement affected activity monitor accuracy in older adults.
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http://dx.doi.org/10.3928/19404921-20150429-03 | DOI Listing |
Mult Scler Relat Disord
December 2024
Exercise Biology, Department of Public Health, Aarhus University, Aarhus, Denmark; The Danish MS Hospitals, Ry and Haslev, Denmark.
Introduction: Multiple sclerosis has a substantial negative impact on physical activity (PA). However, limited knowledge exists on objectively measured PA levels and types across disability status along with its influence on walking capacity.
Objectives: To (1) determine PA levels/types in persons with MS (pwMS) (overall and across disability status) and in healthy controls (HC), and (2) investigate the association between PA levels/types and walking capacity.
Sleep
December 2024
School of Health and Society, University of Wollongong, Australia.
Study Objectives: To examine 1) multidimensional sleep profiles in pre-schoolers (3-6 years) across geocultural regions and 2) differences in sleep characteristics and family practices between Majority World regions (Pacific Islands, Sub-Saharan Africa, Eastern Europe, Northeast Asia, Southeast Asia, South Asia, the Middle East and North Africa, Latin America) and the Minority World (the Western world).
Methods: Participants were 3507 pre-schoolers from 37 countries. Nighttime sleep characteristics and nap duration (accelerometer: n=1950) and family practices (parental questionnaire) were measured.
J Aging Phys Act
December 2024
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.
Background: Research suggests associations between physical activity, sedentary behavior, sleep, and metabolic syndrome, but most has focused on healthy populations and individual behaviors. We investigated associations of 24-hr movement behavior compositions with cardiometabolic risk factors and metabolic syndrome in adults receiving rehabilitation for other health conditions.
Method: This cross-sectional study assessed 24-hr movement behaviors using thigh-worn accelerometers and metabolic outcomes via blood analyses in 145 adults attending outpatient rehabilitation.
Sports Med
December 2024
Australian Catholic University, North Sydney, NSW, Australia.
Geroscience
December 2024
Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka City, Kyoto, 621-8555, Japan.
The differences in the association of objectively measured physical activity with disability between frail and non-frail older adults remain unclear. We (1) evaluated the dose-dependent relationship between daily steps and disability in older adults with and without frailty and (2) examined the interaction between steps and frailty status in relation to the risk of disability. This prospective study used data from 4065 adults aged ≥ 65 years from the Kyoto-Kameoka Study, Japan.
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