Comparison of two different physical activity monitors

BMC Medical Research Methodology

Volumn 7, Issue , 2007, Pages

  Paul, David R ^a,b   Kramer, Matthew ^c   Moshfegh, Alanna J ^a   Baer, David J ^a   Rumpler, William V ^a  

^a BELTSVILLE HUMAN NUTRITION RESEARCH CENTER   (United States)

^b UNIVERSITY OF IDAHO   (United States)

^c AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; FEMALE; HIP; HUMAN; INFORMATION PROCESSING; MAJOR CLINICAL STUDY; MALE; MEDICAL INSTRUMENTATION; MONITOR; PHYSICAL ACTIVITY; STATISTICAL ANALYSIS; STUDENT T TEST; AMBULATORY MONITORING; BIOMEDICAL TECHNOLOGY ASSESSMENT; COMPARATIVE STUDY; DAILY LIFE ACTIVITY; INSTRUMENTATION; MATERIALS TESTING; MONITORING; MOTOR ACTIVITY; PHYSIOLOGY;

ACTIVITIES OF DAILY LIVING; ADULT; FEMALE; HUMANS; MALE; MATERIALS TESTING; MONITORING, AMBULATORY; MONITORING, PHYSIOLOGIC; MOTOR ACTIVITY; TECHNOLOGY ASSESSMENT, BIOMEDICAL;

EID: 34447629081     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-7-26     Document Type: Article

References (21)

1. Physical activity and health. A report of the Surgeon General (Executive Summary). US Department of Health and Human Services, Pittsburgh, PA 1996
2. Health benefits of physical activity: the evidence. DE Warburton CW Nicol SS Bredin, CMAJ 2006 174 6 801 809 16534088
3. Chronicle of the Institute of Medicine physical activity recommendation: how a physical activity recommendation came to be among dietary recommendations. GA Brooks NF Butte WM Rand JP Flatt B Caballero, Am J Clin Nutr 2004 79 5 921S 930S 15113740
4. Be physically active each day. How can we know? RP Troiano CA Macera R Ballard-Barbash, J Nutr 2001 131 2S-1 451S 460S 11160577
5. Accelerometer use in physical activity: best practices and research recommendations. DS Ward KR Evenson A Vaughn AB Rodgers RP Troiano, Med Sci Sports Exerc 2005 37 11 Suppl S582 8 10.1249/01.mss.0000185292.71933.91 16294121
6. Validation of a food frequency questionnaire by direct measurement of habitual ad libitum food intake. DR Paul DG Rhodes M Kramer DJ Baer WV Rumpler, Am J Epidemiol 2005 162 8 806 814 10.1093/aje/kwi279 16120695
7. Comparison of energy expenditure estimates from 4 physical activity questionnaires with doubly labeled water estimates in postmenopausal women. S Mahabir DJ Baer C Giffen BA Clevidence WS Campbell PR Taylor TJ Hartman, Am J Clin Nutr 2006 84 1 230 236 16825700
8. A timely meeting: objective measurement of physical activity. RP Troiano, Med Sci Sports Exerc 2005 37 11 Suppl S487 9 10.1249/01.mss.0000185473.32846.c3 16294111
9. Influence of body composition on physical activity validation studies using doubly labeled water. LC Masse JE Fulton KL Watson MT Mahar MC Meyers WW Wong, J Appl Physiol 2004 96 4 1357 1364 10.1152/japplphysiol.00901.2003 14660509
10. Accelerometer-determined physical activity of free-living college students. MK Dinger TK Behrens, Med Sci Sports Exerc 2006 38 4 774 779 10.1249/01.mss.0000210191.72081.43 16679996
11. Improving energy expenditure estimation by using a triaxial accelerometer. KY Chen M Sun, J Appl Physiol 1997 83 6 2112 2122 9390989
12. The technology of accelerometry-based activity monitors: current and future. KY Chen DR Bassett Jr., Med Sci Sports Exerc 2005 37 11 Suppl S490 500 10.1249/01.mss.0000185571.49104.82 16294112
13. Reliability of accelerometry-based activity monitors: a generalizability study. GJ Welk JA Schaben JR Morrow Jr., Med Sci Sports Exerc 2004 36 9 1637 1645 15354049
14. Technical reliability assessment of three accelerometer models in a mechanical setup. DW Esliger MS Tremblay, Med Sci Sports Exerc 2006 38 12 2173 2181 10.1249/01.mss.0000239394.55461.08 17146326
15. Principles of design and analyses for the calibration of accelerometry-based activity monitors. GJ Welk, Med Sci Sports Exerc 2005 37 11 Suppl S501 11 10.1249/01.mss.0000185660.38335.de 16294113
16. SAS Institute Inc, Cary, NC, USA Version 9.1
17. Physical activity self-report and accelerometry measures from the Girls health Enrichment Multi-site Studies. MS Treuth NE Sherwood T Baranowski NF Butte DR Jacobs Jr. B McClanahan S Gao J Rochon A Zhou TN Robinson L Pruitt W Haskell E Obarzanek, Prev Med 2004 38 Suppl S43 9 10.1016/j.ypmed.2003.01.001 15072858
18. Imputation of missing data when measuring physical activity by accelerometry. DJ Catellier PJ Hannan DM Murray CL Addy TL Conway S Yang JC Rice, Med Sci Sports Exerc 2005 37 11 Suppl S555 S562 10.1249/01.mss.0000185651. 59486.4e 16294118
19. A heteroskedastic-consistent covariance matrix estimator and a direct test of heteroskedasticity. H White, Econometrica 1980 48 817 838 10.2307/1912934
20. Statistical methods for assessing agreement between two methods of clinical measurement. JM Bland DG Altman, Lancet 1986 1 8476 307 310 2868172
21. Reducing transformation bias in curve fitting. DM Miller, American Statistician 1984 38 124 126 10.2307/2683247