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Need for Increased Promotion of Physical Activity Among Adults at Risk for Alzheimer’s Disease: A Brief Report

Paul D. Loprinzi


We have a limited understanding of the physical activity (PA) and sedentary levels among individuals at risk and not at risk for developing Alzheimer’s disease (AD), which was the purpose of this study.


Data from the 2003–2004 NHANES were used, from which 3015 participants were evaluated with 416 indicating a family history of AD. Physical activity and sedentary behavior were assessed via accelerometry with individuals at risk for AD self-reporting a family history of AD.


For the entire sample, those at risk for AD engaged in more sedentary behavior than those not at risk (494.9 vs. 477.9 min/day, P = .03, respectively). Similarly, those at risk for AD engaged in less total MVPA than those not at risk (22.4 vs. 24.3 min/day, P = .05, respectively). Results were also significant for various subgroups at risk for AD.


Despite the beneficial effects of PA in preventing AD and prolonging the survival of AD, adults at risk for AD tend to engage in more sedentary behavior and less PA than those not at risk for AD. This finding even persisted among minorities (Hispanics and non-Hispanic blacks) who are already at an increased risk of developing AD.

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The Quantification of Hop Landing Balance Using Trunk-Mounted Accelerometry

Jonathan M. Williams, Michael Gara, and Carol Clark

accelerometry offers a valid measurement method for balance. Furthermore, the reliability of such methods is high across a range of tasks from double-leg, single-leg to tandem stance. 6 Despite this, highly dynamic balance tasks such as hop landing have yet to be investigated. Testing single-leg hop landing is

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RADVis: A Software Tool for the Visual Investigation of Raw Accelerometry Data

Marcin Straczkiewicz, Jacek Urbanek, and Jaroslaw Harezlak

Objective monitoring of physical activity relies frequently on movement data captured by the tri-axial, body-worn accelerometers representing accelerations sampled between 10 and 160 observations per second ( John, Sasaki, Staudenmayer, Mavilia, & Freedson, 2013 ). Such raw accelerometry data is

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Processing of Accelerometry Data with GGIR in Motor Activity Research Consortium for Health

Wei Guo, Andrew Leroux, Haochang Shou, Lihong Cui, Sun Jung Kang, Marie-Pierre Françoise Strippoli, Martin Preisig, Vadim Zipunnikov, and Kathleen Ries Merikangas

health behaviors in children, adolescents, and adults. To collect objective measures of PA/SL/CR, mMARCH employs wrist-worn accelerometers. Multiple accelerometry-derived PA/SL/CR measures have been shown to be associated with a number of important health outcomes including mood disorders ( Merikangas et

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Triaxial Accelerometry-Based Moderate to Vigorous Physical Activity in Older Adults Using Four Different Methods

Anna Hall, Madisen Hillebrant-Openshaw, Sierra Baca-Zeff, and Irene van Woerden

guide lifestyle interventions that may improve health and wellness in older adulthood. Objective data, such as accelerometry devices that capture body movement intensity and moderate to vigorous PA (MVPA) levels offer significant improvements over self-report measures of PA, such as continuous and

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Wrist-Worn Accelerometry, Aging, and Gait Speed in the Baltimore Longitudinal Study of Aging

Amal A. Wanigatunga, Fangyu Liu, Jacek K. Urbanek, Hang Wang, Junrui Di, Vadim Zipunnikov, Yurun Cai, Ryan J. Dougherty, Eleanor M. Simonsick, Luigi Ferrucci, and Jennifer A. Schrack

throughout the day is lifestyle-based activity ( Buman et al., 2010 ). To objectively measure these lifestyle behaviors, accelerometry is emerging as a preferred method to collect detailed movement characteristics over longer periods of time (e.g., 1 week) to better understand physical activity/movement at

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Measurement of Physical Activity Using Accelerometry in Persons With Multiple Sclerosis

Robert W. Motl

Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM), June 2022, and provides an overview of studies applying motion sensors, particularly body-worn accelerometers, for the measurement of physical activity behavior in MS. The paper reviews research on the first application of accelerometry in MS

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Considerations in Processing Accelerometry Data to Explore Physical Activity and Sedentary Time in Older Adults

Claire L. Cleland, Sara Ferguson, Paul McCrorie, Jasper Schipperijn, Geraint Ellis, and Ruth F. Hunter

Accelerometry as a device-based measure overcomes many of the challenges that self-reported measurement relies on, such as survey completion and accurate memory recall. This is particularly the case for older adults aged ≥60 years ( United Nations Population Fund, 2012 ) who may have difficulties

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Diurnal Profiles of Physical Activity and Postures Derived From Wrist-Worn Accelerometry in UK Adults

Ignacio Perez-Pozuelo, Thomas White, Kate Westgate, Katrien Wijndaele, Nicholas J. Wareham, and Soren Brage

Wrist-worn accelerometry has become a feasible option for the objective measurement of physical activity in large-scale epidemiological studies, such as Pelotas birth cohorts, the UK Biobank, and Whitehall II ( da Silva et al., 2014 ; Doherty et al., 2017 ; Menai et al., 2017 ). Additionally

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Accelerometry Measured Movement Behaviors in Middle-Aged and Older Adults: Cross-Sectional Analysis of the ELSA-Brasil Study

Danilo de Paula, Inácio Crochemore-Silva, Rosane Harter Griep, Bruce Bartholow Duncan, and Maria Inês Schmidt

previous studies using accelerometry found that women engaged in less MVPA for all ages. 27 – 30 Additionally, as age progresses individuals tend to engage in less MVPA and more SB. However, the available studies share limitations such as small, single-centered, or geographically restricted samples, and