Calibrating physical activity intensity for hip-worn accelerometry in women age 60 to 91years: The Women's Health Initiative OPACH Calibration Study

Preventive Medicine Reports

Volumn 2, Issue , 2015, Pages 750-756

  Evenson, Kelly R ^a   Wen, Fang ^a   Herring, Amy H ^a,g   Di, Chongzhi ^b   LaMonte, Michael J ^c   Tinker, Lesley Fels ^b   Lee, I Min ^d   Rillamas Sun, Eileen ^b   LaCroix, Andrea Z ^e   Buchner, David M ^f  

^a IL   (United States)

^b UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL   (United States)

^c Fred Hutchinson Cancer Research Center   (United States)

^d UNIVERSITY AT BUFFALO   (United States)

^e BRIGHAM AND WOMEN S HOSPITAL   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Calibration; Indirect calorimetry; Low frequency extension filter; Oxygen uptake; Physical activity; Sedentary behavior; Validity

Indexed keywords

ACCELEROMETER; ACCELEROMETRY; ACTIMETRY; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; CALIBRATION; CALORIMETER; COMMUNITY CARE; COMPARATIVE STUDY; CONTROLLED STUDY; FEMALE; HIP WORN ACCELEROMETRY; HUMAN; LABORATORY TEST; OXYGEN CONSUMPTION; PHYSICAL ACTIVITY; PHYSICAL PERFORMANCE; RECEIVER OPERATING CHARACTERISTIC; SEDENTARY LIFESTYLE;

EID: 84942258963     PISSN: None     EISSN: 22113355     Source Type: Journal    
DOI: 10.1016/j.pmedr.2015.08.021     Document Type: Article

References (37)

1. ActiGraph Low frequency extension explained Accessed July 28, 2015 at. https://help.theactigraph.com/entries/21767838-Low-Frequency-Extension-Explained.
2. Bailey R., Olson J., Pepper S., Porszasz J., Barstow T., Cooper D. The level and tempo of children's physical activities: an observational study. Med. Sci. Sports Exerc. 1995, 27:1033-1041.
3. Benka-Wallén M., Nero H., Franzen E., Hagstromer M. Comparison of two accelerometer filter settings in individuals with Parkinson's disease. Physiol. Meas. 2014, 35:2287. 10.1088/0967-3334/35/11/2287.
4. Borg G., Linderholm H. Perceived exertion and pulse rate during graded exercise in various age groups. Acta Med. Scand. 1974, 472:194-206.
5. Cain K.L., Conway T.L., Adams M.A., Husak L.E., Sallis J.F. Comparison of older and newer generations of ActiGraph accelerometers with the normal filter and the low frequency extension. Int. J. Behav. Nutr. Phys. Act. 2013, 10:51. (Available at http://www.ijbnpa.org/content/10/1/51).
6. Choi L., Ward S.C., Schnelle J.F., Buchowski M.S. Assessment of wear/nonwear time classification algorithms for triaxial accelerometer. Med. Sci. Sports Exerc. 2012, 44:2009-2016.
7. Copeland J., Esliger D. Accelerometer assessment of physical activity in active, healthy older adults. J. Phys. Act. Health 2009, 17:17-30.
8. Esterman M., Tamber-Rosenau B.J., Chiu Y.C., Yantis S. Avoiding non-independence in fMRI data analysis: leave one subject out. NeuroImage 2010, 50:572-576.
9. Evenson K.R., Catellier D., Gill K., Ondrak K., McMurray R. Calibration of two objective measures of physical activity for children. J. Sport Sci. 2008, 26:1557-1565.
10. Evenson K., Buchner D., Morland K. Objective measurement of physical activity and sedentary behavior among United States adults 60years and older. Prev. Chronic Dis. 2012, 9:1-10. (Available at http://www.cdc.gov/pcd/issues/2012/2011_0109.htm).
11. Fleg J.L., Morrell C.H., Bos A.G., et al. Accelerated longitudinal decline of aerobic capacity in healthy older adults. Circulation 2005, 112:674-682.
12. Guidetti L., Sgadari A., Buzzachera C.F., et al. Validation of the OMNI-cycle scale of perceived exertion in the elderly. J. Aging Phys. Act. 2011, 19:214-224.
13. Guralnik J., Simonsick E., Ferrucci L., et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J. Gerontol. 1994, 49:M85-M94.
14. Hall K.S., Howe C.A., Rana S.R., Martin C.L., Morey M.C. METs and accelerometry of walking in older adults: standard versus measured energy cost. Med. Sci. Sports Exerc. 2013, 45:574-582.
15. Hanggi J.M., Phillips L.R., Rowlands A.V. Validation of the GT3X ActiGraph in children and comparison with the GT1M ActiGraph. J. Sci. Med. Sport 2013, 16:40-44.
16. Hooker S.P., Feeney A., Hutto B., et al. Validation of the actical activity monitor in middle-aged and older adults. J. Phys. Act. Health 2011, 8:372-381.
17. Jago R., Zakeri I., Baranowski T., Watson K. Decision boundaries and receiver operating characteristic curves: new methods for determining accelerometer cutpoints. J. Sports Sci. 2007, 25:937-944.
18. Jefferis B.J., Sartini C., Lee I.M., et al. Adherence to physical activity guidelines in older adults, using objectively measured physical activity in a population-based study. BMC Public Health 2014, 14:382. (Available at http://www.biomedcentral.com/1471-2458/14/382).
19. Knaggs J.D., Larkin K.A., Manini T.M. Metabolic cost of daily activities and effect of mobility impairment in older adults. J. Am. Geriatr. Soc. 2011, 59:2118-2123.
20. -1 as the baseline oxygen consumption. J. Phys. Act. Health 2010, 7:508-516.
21. Kozey S.L., Lyden K., Howe C.A., Staudenmayer J.W., Freedson P.S. Accelerometer output and MET values of common physical activities. Med. Sci. Sports Exerc. 2010, 42:1776-1784.
22. Liang K., Zeger S. Longitudinal data analysis using generalized linear models. Biometrika 1986, 73:13-22.
23. Lyden K., Kozey S.L., Staudenmeyer J.W., Freedson P.S. A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations. Eur. J. Appl. Physiol. 2011, 111:187-201.
24. Martin K.R., Koster A., Murphy R.A., et al. Changes in daily activity patterns with age in U.S. men and women: National Health and Nutrition Examination Survey 2003-04 and 2005-06. J. Am. Geriatr. Soc. 2014, 62:1263-1271.
25. Matthews C.E., Keadle S.K., Sampson J., et al. Validation of a previous-day recall measure of active and sedentary behaviors. Med. Sci. Sports Exerc. 2013, 45:1629-1638.
26. National Institutes of Health, National Heart Lung and Blood Institute Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the evidence report. Obes. Res. 1998, 6:S51-S209.
27. Nelson M., Rejeski W., Blair S., et al. Physical activity and public health in older adults. Recommendation from the American College of Sports Medicine and the American Heart Association. Circulation 2007, 116:1094-1105.
28. 2 during submaximal exercise in the elderly. J. Gerontol. Med. Sci. 1996, 51A:M165-M171.
29. Pettee Gabriel K.K., McClain J.J., Schmid K.K., et al. Issues in accelerometer methodology: the role of epoch length on estimates of physical activity and relationships with health outcomes in overweight, post menopausal women. Int. J. Behav. Nutr. Phys. Act. 2010, 7:53. (Available at http://www.ijbnpa.org/content/7/1/53).
30. Pettee Gabriel K.K., Rankin R.L., Lee C., Charlton M.E., Swan P.D., Ainsworth B.E. Test-retest reliability and validity of the 400-meter walk test in healthy, middle-aged women. J. Phys. Act. Health 2010, 7:649-657.
31. Pruitt L.A., Glynn N.W., King A.C., et al. Use of accelerometry to measure physical activity in older adults at risk for mobility disability. J. Aging Phys. Act. 2008, 16:416-434.
32. Simonsick E.M., Gardner A.W., Poehlman E.T. Assessment of physical function and exercise tolerance in older adults: reproducibility and comparability of five measures. Aging 2000, 12:274-280.
33. Staudenmayer J., Pober D., Crouter S., Bassett D., Freedson P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. J. Appl. Physiol. 2009, 107:1300-1307.
34. Troiano R., Berrigan D., Dodd K., Masse L., Tilert T., McDowell M. Physical activity in the United States measured by accelerometer. Med. Sci. Sports Exerc. 2008, 40:181-188.
35. U.S.Department of Health and Human Services 2008 Physical Activity Guidelines for Americans. ODPHP Publication No. U0036. Washington, D.C. 2008, 1-61. (Available at http://www.health.gov/paguidelines/).
36. Wanner M., Martin B.W., Meier F., Probst-Hensch N., Kriemler S. Effects of filter choice in GT3X accelerometer assessments of free-living activity. Med. Sci. Sports Exerc. 2013, 45:170-177.
37. Zeger S., Liang K. Longitudinal data analysis for discrete and continuous outcomes. Biometrics 1986, 42:121-130.