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Original article| Volume 96, ISSUE 3, P524-531, March 2015

Validity of Physical Activity Measures in Individuals After Total Knee Arthroplasty

Published:October 30, 2014DOI:https://doi.org/10.1016/j.apmr.2014.10.009

      Abstract

      Objective

      To determine the concurrent criterion-related validity of 2 activity monitors in comparison with the criterion method of indirect calorimetry in older adults after total knee arthroplasty (TKA).

      Design

      Validation study.

      Setting

      Subjects completed 9 increasingly demanding daily activities in a research laboratory; each activity was performed for 7 minutes, for a total of 80 minutes, while the activity monitors and criterion method were used concurrently.

      Participants

      Subjects (N=21, 67% women) had a mean age ± SD of 68±7 years and a body mass index of 29±4.

      Interventions

      Not applicable.

      Main Outcome Measures

      Energy expenditure (in kcal/min) measured by accelerometer-based and multisensor-based monitors and by a criterion method. Validity was assessed by the paired t test, intraclass correlation coefficient (ICC), and Bland-Altman plots comparing the measurements from the activity monitors with those of the criterion method.

      Results

      Measurements from the accelerometer-based monitor were significantly lower than those of the criterion method across all walking and nonwalking activities. The underestimations ranged from 40% to 100%. The accelerometer-based monitor demonstrated small to moderate agreement compared with the criterion method (ICCs from 0 to .38). Measurements from the multisensor-based monitor were significantly lower than those of the criterion method during several nonwalking activities; yet, the differences were minor (2%–19%). Measurements from the multisensor-based monitor during walking activities were not different compared with the criterion method. The multisensor-based monitor demonstrated moderate to excellent agreement with the criterion method (ICCs from .48 to .81).

      Conclusions

      The multisensor-based monitor showed better criterion-related validity than the accelerometer-based monitor and should be considered as a tool to measure physical activity in individuals after TKA.

      Keywords

      List of abbreviations:

      ACT (Actigraph), EE (energy expenditure), ICC (intraclass correlation coefficient), PA (physical activity), SWA (SenseWear Armband), TKA (total knee arthroplasty), WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index)
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      References

        • Paterson D.H.
        • Warburton D.E.
        Physical activity and functional limitations in older adults: a systematic review related to Canada’s Physical Activity Guidelines.
        Int J Behav Nutr Phys Act. 2010; 7: 38
        • Jones D.L.
        • Cauley J.A.
        • Kriska A.M.
        • et al.
        Physical activity and risk of revision total knee arthroplasty in individuals with knee osteoarthritis: a matched case-control study.
        J Rheumatol. 2004; 31: 1384-1390
        • Naal F.D.
        • Impellizzeri F.M.
        How active are patients undergoing total joint arthroplasty? A systematic review.
        Clin Orthop Relat Res. 2010; 468: 1891-1904
        • Harding P.
        • Holland A.E.
        • Delany C.
        • Hinman R.S.
        Do activity levels increase after total hip and knee arthroplasty?.
        Clin Orthop Relat Res. 2014; 472: 1502-1511
        • Carr L.J.
        • Mahar M.T.
        Accuracy of intensity and inclinometer output of three activity monitors for identification of sedentary behavior and light-intensity activity.
        J Obes. 2012; 2012: 1-9
        • Crouter S.E.
        • Churilla J.R.
        • Bassett Jr., D.R.
        Estimating energy expenditure using accelerometers.
        Eur J Appl Physiol. 2006; 98: 601-612
        • Crouter S.E.
        • Clowers K.G.
        • Bassett Jr., D.R.
        A novel method for using accelerometer data to predict energy expenditure.
        J Appl Physiol. 2006; 100: 1324-1331
        • Aadland E.
        • Anderssen S.A.
        Treadmill calibration of the Actigraph GT1M in young-to-middle-aged obese-to-severely obese subjects.
        J Obes. 2012; 2012: 1-8
        • Smith K.M.
        • Lanningham-Foster L.M.
        • Welk G.J.
        • Campbell C.G.
        Validity of the SenseWear® Armband to predict energy expenditure in pregnant women.
        Med Sci Sports Exerc. 2012; 44: 2001-2008
        • Tierney M.
        • Fraser A.
        • Purtill H.
        • Kennedy N.
        Study to determine the criterion validity of the SenseWear Armband as a measure of physical activity in people with rheumatoid arthritis.
        Arthritis Care Res. 2013; 65: 888-895
        • Hermann A.
        • Ried-Larsen M.
        • Jensen A.K.
        • et al.
        Low validity of the Sensewear Pro3 activity monitor compared to indirect calorimetry during simulated free living in patients with osteoarthritis of the hip.
        BMC Musculoskelet Disord. 2014; 15: 43
        • Machač S.
        • Procházka M.
        • Radvanský J.
        • Slabý K.
        Validation of physical activity monitors in individuals with diabetes: energy expenditure estimation by the multisensor SenseWear Armband Pro3 and the step counter Omron HJ-720 against indirect calorimetry during walking.
        Diabetes Technol Ther. 2013; 15: 413-418
        • Van Remoortel H.
        • Raste Y.
        • Louvaris Z.
        • et al.
        Validity of six activity monitors in chronic obstructive pulmonary disease: a comparison with indirect calorimetry.
        PLoS One. 2012; 7: e39198
        • Weikert M.
        • Dlugonski D.
        • Suh Y.
        • Fernhall B.
        • Motl R.W.
        The impact of gait disability on the calibration of accelerometer output in adults with multiple sclerosis.
        Int J MS Care. 2011; 13: 170-176
        • Staab W.
        • Hottowitz R.
        • Sohns C.
        • et al.
        Accelerometer and gyroscope based gait analysis using spectral analysis of patients with osteoarthritis of the knee.
        J Phys Ther Sci. 2014; 26: 997-1002
        • Bellamy N.
        • Buchanan W.W.
        • Goldsmith C.H.
        • Campbell J.
        • Stitt L.W.
        Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee.
        J Rheumatol. 1988; 15: 1833-1840
        • Bellamy N.
        • Kean W.F.
        • Buchanan W.W.
        • Gerecz-Simon E.
        • Campbell J.
        Double blind randomized controlled trial of sodium meclofenamate (Meclomen) and diclofenac sodium (Voltaren): post validation reapplication of the WOMAC Osteoarthritis Index.
        J Rheumatol. 1992; 19: 153-159
      1. Actigraph. Actisoft analysis software 4.0 user's manual. MTI Health Services, Fort Walton Beach2009: 53
        • Freedson P.S.
        • Melanson E.
        • Sirard J.
        Calibration of the Computer Science and Applications, Inc. accelerometer.
        Med Sci Sports Exerc. 1998; 30: 777-781
        • Sirard J.R.
        • Forsyth A.
        • Oakes J.M.
        • Schmitz K.H.
        Accelerometer test-retest reliability by data processing algorithms: results from the Twin Cities Walking Study.
        J Phys Act Health. 2011; 8: 668-674
        • Brazeau A.-S.
        • Karelis A.D.
        • Mignault D.
        • Lacroix M.-J.
        • Prud’homme D.
        • Rabasa-Lhoret R.
        Test-retest reliability of a portable monitor to assess energy expenditure.
        Appl Physiol Nutr Metab. 2011; 36: 339-343
        • Fenuta A.M.
        • Hicks A.L.
        Metabolic demand and muscle activation during different forms of bodyweight supported locomotion in men with incomplete SCI.
        Biomed Res Int. 2014; 2014: 632765
        • Milia R.
        • Roberto S.
        • Pinna M.
        • et al.
        Physiological responses and energy expenditure during competitive fencing.
        Appl Physiol Nutr Metab. 2014; 39: 324-328
        • Queiroga M.R.
        • Barbieri R.A.
        • Ferreira S.A.
        • et al.
        Glucose metabolism in discordant monozygotic twins for cardiorespiratory fitness.
        Rev Paul Pediatr. 2013; 31: 77-82
        • Danucalov M.A.
        • Simões R.S.
        • Kozasa E.H.
        • Leite J.R.
        Cardiorespiratory and metabolic changes during yoga sessions: the effects of respiratory exercises and meditation practices.
        Appl Psychophysiol Biofeedback. 2008; 33: 77-81
        • Melanson E.L.
        • Freedson P.S.
        • Hendelman D.
        • Debold E.
        Reliability and validity of a portable metabolic measurement system.
        Can J Appl Physiol. 1996; 21: 109-119
        • Wahrlich V.
        • Anjos L.A.
        • Going S.B.
        • Lohman T.G.
        Validation of the VO2000 calorimeter for measuring resting metabolic rate.
        Clin Nutr. 2006; 25: 687-692
        • Perera S.
        • Mody S.H.
        • Woodman R.C.
        • Studenski S.A.
        Meaningful change and responsiveness in common physical performance measures in older adults.
        J Am Geriatr Soc. 2006; 54: 743-749
        • King G.A.
        • Torres N.
        • Potter C.
        • Brooks T.J.
        • Coleman K.J.
        Comparison of activity monitors to estimate energy cost of treadmill exercise.
        Med Sci Sports Exerc. 2004; 36: 1244-1251
        • Jakicic J.M.
        • Marcus M.
        • Gallagher K.I.
        • et al.
        Evaluation of the SenseWear Pro Armband to assess energy expenditure during exercise.
        Med Sci Sports Exerc. 2004; 36: 897-904
        • Cole P.J.
        • LeMura L.M.
        • Klinger T.A.
        • Strohecker K.
        • McConnell T.R.
        Measuring energy expenditure in cardiac patients using the Body Media Armband versus indirect calorimetry. A validation study.
        J Sports Med Phys Fitness. 2004; 44: 262-271
        • Fruin M.L.
        • Rankin J.W.
        Validity of a multi-sensor armband in estimating rest and exercise energy expenditure.
        Med Sci Sports Exerc. 2004; 36: 1063-1069
        • Cereda E.
        • Turrini M.
        • Ciapanna D.
        • Marbello L.
        • Pietrobelli A.
        • Corradi E.
        Assessing energy expenditure in cancer patients: a pilot validation of a new wearable device.
        JPEN J Parenter Enteral Nutr. 2007; 31: 502-507
        • Cavalheri V.
        • Donária L.
        • Ferreira T.
        • et al.
        Energy expenditure during daily activities as measured by two motion sensors in patients with COPD.
        Respir Med. 2011; 105: 922-929
        • Dwyer T.J.
        • Alison J.A.
        • McKeough Z.J.
        • Elkins M.R.
        • Bye P.T.
        Evaluation of the SenseWear activity monitor during exercise in cystic fibrosis and in health.
        Respir Med. 2009; 103: 1511-1517
        • Papazoglou D.
        • Augello G.
        • Tagliaferri M.
        • et al.
        Evaluation of a multisensor armband in estimating energy expenditure in obese individuals.
        Obesity (Silver Spring). 2006; 14: 2217-2223
        • McClave S.A.
        • Spain D.A.
        • Skolnick J.L.
        • et al.
        Achievement of steady state optimizes results when performing indirect calorimetry.
        JPEN J Parenter Enteral Nutr. 2003; 27: 16-20
        • Rothney M.P.
        • Brychta R.J.
        • Meade N.N.
        • Chen K.Y.
        • Buchowski M.S.
        Validation of the ActiGraph two-regression model for predicting energy expenditure.
        Med Sci Sports Exerc. 2010; 42: 1785-1792
        • Welk G.J.
        • Blair S.N.
        • Wood K.
        • Jones S.
        • Thompson R.W.
        A comparative evaluation of three accelerometry-based physical activity monitors.
        Med Sci Sports Exerc. 2000; 32: S489-S497
        • Abel M.G.
        • Hannon J.C.
        • Sell K.
        • Lillie T.
        • Conlin G.
        • Anderson D.
        Validation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adults.
        Appl Physiol Nutr Metab. 2008; 33: 1155-1164
        • Tweedy S.M.
        • Trost S.G.
        Validity of accelerometry for measurement of activity in people with brain injury.
        Med Sci Sports Exerc. 2005; 37: 1474-1480
        • Berntsen S.
        • Hageberg R.
        • Aandstad A.
        • et al.
        Validity of physical activity monitors in adults participating in free-living activities.
        Br J Sports Med. 2010; 44: 657-664
        • Plasqui G.
        • Joosen A.M.
        • Kester A.D.
        • Goris A.H.
        • Westerterp K.R.
        Measuring free-living energy expenditure and physical activity with triaxial accelerometry.
        Obes Res. 2005; 13: 1363-1369
        • Midorikawa T.
        • Tanaka S.
        • Kaneko K.
        • et al.
        Evaluation of low-intensity physical activity by triaxial accelerometry.
        Obesity (Silver Spring). 2007; 15: 3031-3038