Validity of four motion sensors in measuring moderate intensity physical activity.
By David Bassett, B. Ainsworth, A. Swartz, S. Strath, W. L. O'brien, George A. King. Medicine & Science in Sports & Exercise, 2000
595 citations recorded by the source corpus.
Subfields: Complementary and alternative medicine, Physical Therapy, Sports Therapy and Rehabilitation, Physiology
View Paper: https://www.semanticscholar.org/paper/918142460db7580eee11349ba5cf83de3f03c43f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Complementary and alternative medicine
- Ulf Ekelund
- S. Crouter
- Søren Brage
- Patty S. Freedson
- David Bassett
- Kong Y. Chen
- C. Matthews
- Justin J. Kavanagh
In Physical Therapy, Sports Therapy and Rehabilitation
In Physiology
- Ulf Ekelund
- Søren Brage
- David Bassett
- C. Matthews
- S. Crouter
- Patty S. Freedson
- Nick Wareham
- Kong Y. Chen
Citations in the corpus
- Compendium of physical activities: an update of activity codes and MET intensities. (2000, background): “Thus, in 1997–1998, a series of studies were funded by the International Life Sciences Institute Research Foundation to measure the energy cost of selected household, lawn and garden, walking, recreational, and occupational activities using indirect calorimetry methods in laboratory and field settin”
- Reliability and validity of the combined heart rate and movement sensor Actiheart (2005, background): “…highly variable relationships to PAI in different activities (Montoye et al, 1983; Sekioka et al, 1998; Jakicic et al, 1999; Nichols et al, 1999; Bassett et al, 2000; Hendelman et al, 2000; Brage et al, 2003b, c; Ekelund et al, 2003; Strath et al, 2003; King et al, 2004; Treuth et al, 2004)…”
- Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial. (2008, background): “Food frequency questionnaires tend to underestimate caloric intake(49) while accelerometers may underestimate or overestimate energy expenditure, depending on the kind of physical activity.(50) More accurate measurements are necessary to determine the relative contribution of changes in energy intak”
- The technology of accelerometry-based activity monitors: current and future. (2005, background): “(1) reflected on data from an earlier study.”
- Determining Measurement Error in Digital Pedometers (2003, unknown): “ature, has advantages and disadvantages (Bassett, 2000; Bassett et al., 2000; Eston, Rowlands, & Ingledew, 1998; Freedson & Miller, 2000; Kilanowski, Consalvi, & Epstein, 1999; Melanson & Freedson, 1995; Strand & Reeder, 1993).”
- The effect of social desirability and social approval on self-reports of physical activity. (2005, background): “05g to 2g while rejecting other forms of movement such as vibration (14).”
- A novel method for using accelerometer data to predict energy expenditure. (2006, background): “The lifestyle regression equations provide a closer estimate of EE for moderate-intensity activities, but they greatly overestimate the energy cost of sedentary and light activities and underestimate the energy cost of vigorous activities (2).”
- An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. (2009, background): “While these approaches have been well received by the scientific community and often result in relatively small or nonsignificant mean differences between estimated and actual PAEE when applied to a large group of subjects, the individual estimation errors are often substantial (2, 16).”