A Semi-Quantitative Method to Denote Generic Physical Activity Phenotypes from Long-Term Accelerometer Data - The ATLAS Index

PLoS ONE

Volumn 8, Issue 5, 2013, Pages

  Marschollek, Michael ^a  

^a Hannover Medical School   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETER; ACTIVITY TYPES FROM LONG TERM ACCELEROMETRIC SENSOR INDEX; ANALYTICAL PARAMETERS; ARTICLE; COHORT ANALYSIS; CONCEPTUAL FRAMEWORK; DATA PROCESSING; DEVICES; MEASUREMENT; PHENOTYPE; PHYSICAL ACTIVITY; QUANTITATIVE ANALYSIS; SCORING SYSTEM; STATISTICAL ANALYSIS; VALIDATION PROCESS;

ACCELEROMETRY; COHORT STUDIES; HUMANS; MOTOR ACTIVITY; PHENOTYPE; TIME FACTORS;

EID: 84877281848     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0063522     Document Type: Article

References (17)

1. Woodcock J, Franco OH, Orsini N, Roberts I, (2011) Non-vigorous physical activity and all-cause mortality: systematic review and meta-analysis of cohort studies. Int J Epidemiol 40: 121-138.
2. Sattelmair J, Pertman J, Ding EL, Kohl HW 3rd, Haskell W, et al. (2011) Dose response between physical activity and risk of coronary heart disease: a meta-analysis. Circulation 124: 789-795.
3. Kwak L, Proper KI, Hagstromer M, Sjostrom M, (2011) The repeatability and validity of questionnaires assessing occupational physical activity-a systematic review. Scand J Work Environ Health 37: 6-29.
4. Mathie MJ, Coster AC, Lovell NH, Celler BG, (2004) Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol Meas 25: R1-20.
5. Marschollek M, Rehwald A, Wolf KH, Gietzelt M, Nemitz G, et al. (2011) Sensor-based fall risk assessment-an expert 'to go'. Methods Inf Med 50: 420-426.
6. Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, et al. (2007) Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation 116: 1081-1093.
7. Nelson ME, Rejeski WJ, Blair SN, Duncan PW, Judge JO, et al. (2007) Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc 39: 1435-1445.
8. Organization WH (2010) Global Recommendations on Physical Activity for Health. Geneva: WHO Press.
9. Lee IM, Sesso HD, Oguma Y, Paffenbarger RS Jr, (2004) The "weekend warrior" and risk of mortality. Am J Epidemiol 160: 636-641.
10. Kruger J, Ham SA, Kohl HW 3rd, (2007) Characteristics of a "weekend warrior": results from two national surveys. Med Sci Sports Exerc 39: 796-800.
11. Westerterp KR, (2001) Pattern and intensity of physical activity. Nature 410: 539.
12. Tudor-Locke C, Brashear MM, Johnson WD, Katzmarzyk PT, (2010) Accelerometer profiles of physical activity and inactivity in normal weight, overweight, and obese U.S. men and women. Int J Behav Nutr Phys Act 7: 60.
13. Metzger JS, Catellier DJ, Evenson KR, Treuth MS, Rosamond WD, et al. (2008) Patterns of objectively measured physical activity in the United States. Med Sci Sports Exerc 40: 630-638.
14. Patnode CD, Lytle LA, Erickson DJ, Sirard JR, Barr-Anderson DJ, et al. (2011) Physical activity and sedentary activity patterns among children and adolescents: a latent class analysis approach. J Phys Act Health 8: 457-467.
15. Mathie M (2003) Monitoring and Interpreting Human Movement Patterns Using a Triaxial Accelerometer. Sydney: The University of New South Wales. 511 p.
16. Bouten CV, Koekkoek KT, Verduin M, Kodde R, Janssen JD, (1997) A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Trans Biomed Eng 44: 136-147.
17. Marschollek M, Ludwig W, Schapiewski I, Schriever E, Schubert R, et al. (2007) Multimodal home monitoring of elderly people - first results from the LASS study; Niagara Falls, Canada (May 21-23). IEEE.