those with a higher aerobic fitness level would be more likely to reach the World Health Organization physical activity targets with their habitual walking. One little studied potential determinant of free-living walking intensity is lower-extremity strength. Lower-extremity muscle strength is
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Aerobic Capacity Determines Habitual Walking Acceleration, Not Electromyography-Indicated Relative Effort
Arto J. Pesola, Timo Rantalainen, Ying Gao, and Taija Finni
Step-Counting Validity of Wrist-Worn Activity Monitors During Activities With Fixed Upper Extremities
Rebekah Lynn, Rebekah Pfitzer, Rebecca R. Rogers, Christopher G. Ballmann, Tyler D. Williams, and Mallory R. Marshall
. Data Analysis All data is reported as M ( SD ). Percentage error was calculated for all devices using the formula [(device steps-actual steps)/actual steps] × 100. Actual steps represent the steps counted by the experimenter from GoPro footage of the participants’ lower extremity and device steps
Calibrating Physical Activity and Sedentary Behavior for Hip-Worn Accelerometry in Older Women With Two Epoch Lengths: The Women’s Health Initiative Objective Physical Activity and Cardiovascular Health Calibration Study
Kelly R. Evenson, Fang Wen, Christopher C. Moore, Michael J. LaMonte, I-Min Lee, Andrea Z. LaCroix, and Chongzhi Di
performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission Journal of Gerontology, 49, M85 – M94 . https://doi.org/10.1093/geronj/49.2.m85 Hall , K.S. , Howe , C.A. , Rana , S.R. , Martin , C
Consequences of Choosing Different Settings When Processing Hip-Based Accelerometry Data From Older Adults: A Practical Approach Using Baseline Data From the SITLESS Study
Jason J. Wilson, Mathias Skjødt, Ilona McMullan, Nicole E. Blackburn, Maria Giné-Garriga, Oriol Sansano-Nadal, Marta Roqué i Figuls, Jochen Klenk, Dhayana Dallmeier, Emma McIntosh, Manuela Deidda, Mark A. Tully, Paolo Caserotti, and On behalf of the SITLESS Group*
, R.B. ( 1995 ). Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability . The New England Journal of Medicine, 332 ( 9 ), 556 – 562 . PubMed ID: 7838189 doi:10.1056/NEJM199503023320902 10.1056/NEJM199503023320902 Guralnik , J.M. , Simonsick , E
Daily Activity of Individuals With an Amputation Above the Knee as Recorded From the Nonamputated Limb and the Prosthetic Limb
Kerstin Hagberg, Roland Zügner, Peter Thomsen, and Roy Tranberg
mobility restrictions in the lower extremity ( n = 9; e.g., hip and/or knee arthrosis, replacement of the hip or knee joint and drop foot), impaired function of the upper extremity affecting the use of gait aids ( n = 5), Type 2 diabetes mellitus ( n = 4), and impaired function of the heart or lung ( n
Validation of a Clinically Feasible Activity Monitor Which Measures Body Postures and Movements in Adults With Lower-Limb Amputation Who Wear a Prosthesis
Willemijn M.J. van Rooij, H.J.G. van den Berg-Emons, Herwin L.D. Horemans, Malou H.J. Fanchamps, Fred A. de Laat, and Johannes B.J. Bussmann
:10.1016/S0035-1040(07)90213-5 10.1016/S0035-1040(07)90213-5 Christiansen , C. L. , Fields , T. , Lev , G. , Stephenson , R. O. , & Stevens-Lapsley , J. E. ( 2015 ). Functional outcomes after the prosthetic training phase of rehabilitation after dysvascular lower extremity amputation . PM
Impact of ActiGraph Sampling Rate and Intermonitor Comparability on Measures of Physical Activity in Adults
Kimberly A. Clevenger, Jan Christian Brønd, Daniel Arvidsson, Alexander H.K. Montoye, Kelly A. Mackintosh, Melitta A. McNarry, and Karin A. Pfeiffer
adults with lower‐extremity symptoms . Arthritis Care & Research, 69 ( 4 ), 475 – 483 . https://doi.org/10.1002/acr.23181 10.1002/acr.23181 Esliger , D.W. , & Tremblay , M.S. ( 2006 ). Technical reliability assessment of three accelerometer models in a mechanical setup . Medicine & Science in
Simultaneous Validation of Count-to-Activity Thresholds for Five Commonly Used Activity Monitors in Adolescent Research: A Step Toward Data Harmonization
Gráinne Hayes, Kieran Dowd, Ciaran MacDonncha, and Alan Donnely
this respect, accelerometers attached to the wrist or upper body may not have the sensitivity to detect or accurately account for activities that are lower-extremity dominant. Notwithstanding this, the excellent sensitivity and specificity values reported for the 3 MET intensity band highlight that the
Where to Place Which Sensor to Measure Sedentary Behavior? A Method Development and Comparison Among Various Sensor Placements and Signal Types
Roman P. Kuster, Daniel Baumgartner, Maria Hagströmer, and Wilhelmus J.A. Grooten
and shank accelerometers solved this classification significantly best, even when adding the gyroscope and/or magnetometer data to the other placements. This result demonstrates that posture is best measured with a sensor worn on the lower extremity, while the accelerometers attached to the upper
Evaluation of Within- and Between-Site Agreement for Direct Observation of Physical Behavior Across Four Research Groups
Sarah Kozey Keadle, Julian Martinez, Scott J. Strath, John Sirard, Dinesh John, Stephen Intille, Diego Arguello, Marcos Amalbert-Birriel, Rachel Barnett, Binod Thapa-Chhetry, Melanna Cox, John Chase, Erin Dooley, Rob Marcotte, Alexander Tolas, and John W. Staudemayer
/whole-body movement taxonomy was primarily focused on torso and lower-extremity positioning in space (example labels: “standing,” “sitting,” “walking,” and “ascending stairs”), and an individual’s posture, speed, and additional weight for determining (d) intensity categories (“sedentary,” “light,” and “moderate
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