Amount of time spent in sedentary behaviors in the United States, 2003-2004.

By C. Matthews, Kong Y. Chen, Patty S. Freedson, Macie S. Buchowski, B. Beech, R. Pate, R. Troiano. American Journal of Epidemiology, 2008

2,666 citations recorded by the source corpus.

Subfields: Physiology, Public Health, Environmental and Occupational Health, Transportation

View Paper: https://www.semanticscholar.org/paper/10d10263e9b9e62d23e250e0343cee45e4c6f70f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Physiology

1. N. Owen
2. G. Healy
3. Mark S. Tremblay
4. Adrian Bauman
5. David W. Dunstan
6. C. Matthews
7. P. Katzmarzyk
8. R. Colley

In Public Health, Environmental and Occupational Health

1. N. Owen
2. G. Healy
3. David W. Dunstan
4. Adrian Bauman
5. C. Matthews
6. D. Alter
7. Mark S. Tremblay
8. J. Rey-López

In Transportation

1. Adrian Bauman
2. N. Owen

Citations in the corpus

• Daily Sitting Time and All-Cause Mortality: A Meta-Analysis (2013, background): “On average, adults in Western countries spend between 55% and 70% of their day sedentary, according to objective monitoring[4-6].”
• Sedentary behavior and health outcomes among older adults: a systematic review (2014, background): “Epidemiological studies on different age groups show that a considerable amount of a human’s waking hours are spent in sedentary activities, creating a new public health challenge that must be tackled [11,12].”
• BEST PRACTICES FOR USING PHYSICAL ACTIVITY MONITORS IN POPULATION-BASED RESEARCH (2012, neutral): “Among NHANES participants who wore the devices for at least 10 h on at least 1 d, 79% provided 3 d or more of valid data (21), although compliance varied by age group (32).”
• Physiological and health implications of a sedentary lifestyle. (2010, background): “Overall, females were more sedentary than males before age 30 years, with this pattern reversed after age 60 years (Matthews et al. 2008).”
• Validation of Accelerometer Wear and Nonwear Time Classification Algorithm (2011, methodology): “We validated the current algorithm using the programming language R (23) and compared it with the SAS program available from the NHANES (20) website using the same data sets.”
• Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. (2011, background): “4 kg) instrument that records integrated acceleration information as an activity count, which provides an objective estimate of the intensity of bodily movement (particularly ambulatory movement).(8) As these activity counts are time and date stamped, detailed data on the time, volume, and intensity”