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Measurement of Physical Activity Among Older People

  • Nicolas Aguilar-Farias
  • Marijke Hopman-Rock
Chapter

Abstract

The benefits of physical activity (PA) for general well-being in older adults have been widely documented in the last decades, along with the independent detrimental effects of sedentary behaviour (SB) on health. PA measurement in older people is highly relevant for designing, promoting, and assessing intervention plans as well as implementing regular surveillance. However, it is a challenge to identify measurement tools that are suitable, feasible, reliable, and valid. The purpose of this chapter is to provide an overview of the different tools available for measuring PA in older adults. We review relative advantages and limitations of tools with a focus on fieldwork. Some innovative approaches and measurement challenges will be described to better understand how tools might be used and interpreted in different settings.

References

  1. Aguilar-Farias, N., Brown, W. J., Olds, T. S., & Peeters, G. M. (2015). Validity of self-report methods for measuring sedentary behaviour in older adults. Journal of Science & Medicine in Sports & Exercise, 18(6), 662–666. https://doi.org/10.1016/j.jsams.2014.08.004.CrossRefGoogle Scholar
  2. Ainslie, P., Reilly, T., & Westerterp, K. (2003). Estimating human energy expenditure: A review of techniques with particular reference to doubly labelled water. Sports Medicine, 33(9), 683–698.CrossRefGoogle Scholar
  3. Ainsworth, B. E., Haskell, W. L., Herrmann, S. D., Meckes, N., Bassett, D. R., Jr., Tudor-Locke, C., et al. (2011). 2011 compendium of physical activities: A second update of codes and MET values. Medicine & Science in Sports & Exercise, 43(8), 1575–1581. https://doi.org/10.1249/MSS.0b013e31821ece12.CrossRefGoogle Scholar
  4. Ainsworth, B., Cahalin, L., Buman, M., & Ross, R. (2015). The current state of physical activity assessment tools. Progress in Cardiovascular Diseases, 57(4), 387–395. https://doi.org/10.1016/j.pcad.2014.10.005.CrossRefGoogle Scholar
  5. American College of Sports Medicine. (2013). ACSM’s guidelines for exercise testing and prescription (9th ed.). Philadelphia: Lippincott Williams & Wilkins.Google Scholar
  6. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (1999). Standards for educational and psychological testing. Washington, DC: American Educational Research Association.Google Scholar
  7. Bauman, A., Ainsworth, B. E., Bull, F., Craig, C. L., Hagstromer, M., Sallis, J. F., et al. (2009). Progress and pitfalls in the use of the international physical activity questionnaire (IPAQ) for adult physical activity surveillance. Journal of Physical Activity and Health, 6(Suppl 1), S5–S8.CrossRefGoogle Scholar
  8. Bonnefoy, M., Normand, S., Pachiaudi, C., Lacour, J. R., Laville, M., & Kostka, T. (2001). Simultaneous validation of ten physical activity questionnaires in older men: A doubly labeled water study. Journal of the American Geriatrics Society, 49(1), 28–35.CrossRefGoogle Scholar
  9. Bouchard, C., Tremblay, A., Leblanc, C., Lortie, G., Savard, R., & Theriault, G. (1983). A method to assess energy expenditure in children and adults. American Journal of Clinical Nutrition, 37(3), 461–467.CrossRefGoogle Scholar
  10. Brage, S., Brage, N., Franks, P. W., Ekelund, U., & Wareham, N. J. (2005). Reliability and validity of the combined heart rate and movement sensor Actiheart. European Journal of Clinical Nutrition, 59(4), 561–570. https://doi.org/10.1038/sj.ejcn.1602118.CrossRefGoogle Scholar
  11. Brooks, K. A., Carter, J. G., & Dawes, J. J. (2013). A comparison of VO2 measurement obtained by a physiological monitoring device and the Cosmed quark CPET. Journal of Novel Physiotherapies, 3. https://doi.org/10.4172/2165-7025.1000126.
  12. Celis-Morales, C. A., Perez-Bravo, F., Ibanez, L., Salas, C., Bailey, M. E., & Gill, J. M. (2012). Objective vs. self-reported physical activity and sedentary time: Effects of measurement method on relationships with risk biomarkers. PLoS One, 7(5), e36345. https://doi.org/10.1371/journal.pone.0036345.CrossRefGoogle Scholar
  13. Chen, K. Y., Janz, K. F., Zhu, W., & Brychta, R. J. (2012). Redefining the roles of sensors in objective physical activity monitoring. Medicine & Science in Sports & Exercise, 44(1 Suppl 1), S13–S23. https://doi.org/10.1249/MSS.0b013e3182399bc8.CrossRefGoogle Scholar
  14. Colbert, L. H., Matthews, C. E., Havighurst, T. C., Kim, K., & Schoeller, D. A. (2011). Comparative validity of physical activity measures in older adults. Medicine & Science in Sports & Exercise, 43(5), 867–876. https://doi.org/10.1249/MSS.0b013e3181fc7162.CrossRefGoogle Scholar
  15. Craig, C. L., Marshall, A. L., Sjostrom, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., et al. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise, 35(8), 1381–1395. https://doi.org/10.1249/01.MSS.0000078924.61453.FB.CrossRefGoogle Scholar
  16. Crouter, S. E., Schneider, P. L., Karabulut, M., & Bassett, D. R., Jr. (2003). Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Medicine & Science in Sports & Exercise, 35(8), 1455–1460. https://doi.org/10.1249/01.MSS.0000078932.61440.A2.CrossRefGoogle Scholar
  17. Cyarto, E. V., Myers, A., & Tudor-Locke, C. (2004). Pedometer accuracy in nursing home and community-dwelling older adults. Medicine & Science in Sports & Exercise, 36(2), 205–209. https://doi.org/10.1249/01.MSS.0000113476.62469.98.CrossRefGoogle Scholar
  18. Davis, H. S., MacPherson, K., Merry, H. R., Wentzel, C., & Rockwood, K. (2001). Reliability and validity of questions about exercise in the Canadian Study of Health and Aging. International Psychogeriatrics, 13(S1), 177–182.CrossRefGoogle Scholar
  19. Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015). Systematic review of the validity and reliability of consumer-wearable activity trackers. International Journal of Behavioral Nutrition and Physical Activity, 12, 159. https://doi.org/10.1186/s12966-015-0314-1.CrossRefGoogle Scholar
  20. Evenson, K. R., Jones, S. A., Holliday, K. M., Cohen, D. A., & McKenzie, T. L. (2016). Park characteristics, use, and physical activity: A review of studies using SOPARC (system for observing play and recreation in communities). Preventive Medicine, 86, 153–166. https://doi.org/10.1016/j.ypmed.2016.02.029.CrossRefGoogle Scholar
  21. Floegel, T. A., Florez-Pregonero, A., Hekler, E. B., & Buman, M. P. (2016). Validation of consumer-based hip and wrist activity monitors in older adults with varied ambulatory abilities. The Journals of Gerontology. Series A Biological Sciences and Medical Sciences. https://doi.org/10.1093/gerona/glw098.
  22. Forsen, L., Loland, N. W., Vuillemin, A., Chinapaw, M. J., van Poppel, M. N., Mokkink, L. B., et al. (2010). Self-administered physical activity questionnaires for the elderly: A systematic review of measurement properties. Sports Medicine, 40(7), 601–623. https://doi.org/10.2165/11531350-000000000-00000.CrossRefGoogle Scholar
  23. Gabriel, K. K. P., Jr., Morrow, J. R., & Woolsey, A.-L. T. (2012). Framework for physical activity as a complex and multidimensional behavior. Journal of Physical Activity and Health, 9(s1), S11–S18. https://doi.org/10.1123/jpah.9.s1.s11.CrossRefGoogle Scholar
  24. Grimm, E. K., Swartz, A. M., Hart, T., Miller, N. E., & Strath, S. J. (2012). Comparison of the IPAQ-short form and accelerometry predictions of physical activity in older adults. Journal of Aging and Physical Activity, 20(1), 64–79.CrossRefGoogle Scholar
  25. Hall, K. S., Morey, M. C., Dutta, C., Manini, T. M., Weltman, A. L., Nelson, M. E., et al. (2014). Activity-related energy expenditure in older adults: A call for more research. Medicine & Science in Sports & Exercise. https://doi.org/10.1249/MSS.0000000000000356.
  26. Hardy, S. E., Allore, H., & Studenski, S. A. (2009). Missing data: A special challenge in aging research. Journal of the American Geriatric Society, 57(4), 722–729. https://doi.org/10.1111/j.1532-5415.2008.02168.x.CrossRefGoogle Scholar
  27. Harris, T. J., Owen, C. G., Victor, C. R., Adams, R., Ekelund, U., & Cook, D. G. (2009). A comparison of questionnaire, accelerometer, and pedometer: Measures in older people. Medicine & Science in Sports & Exercise, 41(7), 1392–1402. https://doi.org/10.1249/MSS.0b013e31819b3533.CrossRefGoogle Scholar
  28. Haskell, W. L. (2012). Physical activity by self-report: A brief history and future issues. Journal of Physical Activity and Health, 9(Suppl 1), S5–10.CrossRefGoogle Scholar
  29. Heesch, K. C., van Uffelen, J. G., Hill, R. L., & Brown, W. J. (2010). What do IPAQ questions mean to older adults? Lessons from cognitive interviews. International Journal of Behavioral Nutrition and Physical Activity, 7, 35. https://doi.org/10.1186/1479-5868-7-35.CrossRefGoogle Scholar
  30. Hortobagyi, T., Mizelle, C., Beam, S., & DeVita, P. (2003). Old adults perform activities of daily living near their maximal capabilities. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 58(5), M453–M460.CrossRefGoogle Scholar
  31. Kamada, M., Shiroma, E. J., Harris, T. B., & Lee, I. M. (2016). Comparison of physical activity assessed using hip- and wrist-worn accelerometers. Gait & Posture, 44, 23–28. https://doi.org/10.1016/j.gaitpost.2015.11.005.CrossRefGoogle Scholar
  32. Katch, V. L., McArdle, W. D., & Katch, F. I. (2011). Energy expenditure during rest and physical activity. In W. D. McArdle, F. I. Katch, & V. L. Katch (Eds.), Essentials of exercise physiology (4th ed.). Baltimore: Lippincott Williams & Wilkins.Google Scholar
  33. Kozey, S., Lyden, K., Staudenmayer, J., & Freedson, P. (2010). Errors in MET estimates of physical activities using 3.5 ml × kg(−1) × min(−1) as the baseline oxygen consumption. Journal of Physical Activity and Health, 7(4), 508–516.CrossRefGoogle Scholar
  34. Lee, J. M., Kim, Y., & Welk, G. J. (2014). Validity of consumer-based physical activity monitors. Medicine & Science in Sports & Exercise, 46(9), 1840–1848. https://doi.org/10.1249/MSS.0000000000000287.CrossRefGoogle Scholar
  35. Lyden, K., Keadle, S. K., Staudenmayer, J., & Freedson, P. S. (2014). A method to estimate free-living active and sedentary behavior from an accelerometer. Medicine & Science in Sports & Exercise, 46(2), 386–397. https://doi.org/10.1249/MSS.0b013e3182a42a2d.CrossRefGoogle Scholar
  36. Lynn Snow, A., Cook, K. F., Lin, P. S., Morgan, R. O., & Magaziner, J. (2005). Proxies and other external raters: Methodological considerations. Health Services Research, 40(5 Pt 2), 1676–1693. https://doi.org/10.1111/j.1475-6773.2005.00447.x.CrossRefGoogle Scholar
  37. Mace, C. J., Maddison, R., Olds, T., & Kerse, N. (2014). Validation of a computerized use of time recall for activity measurement in advanced-aged adults. Journal of Aging and Physical Activity, 22(2), 245–254. https://doi.org/10.1123/japa.2012-0280.CrossRefGoogle Scholar
  38. Magaziner, J. (1997). Use of proxies to measure health and functional outcomes in effectiveness research in persons with Alzheimer disease and related disorders. Alzheimer Disease & Associated Disorders, 11(Suppl 6), 168–174.Google Scholar
  39. Magaziner, J., Bassett, S. S., Hebel, J. R., & Gruber-Baldini, A. (1996). Use of proxies to measure health and functional status in epidemiologic studies of community-dwelling women aged 65 years and older. American Journal of Epidemiology, 143(3), 283–292.CrossRefGoogle Scholar
  40. Martien, S., Delecluse, C., Seghers, J., & Boen, F. (2015). Counting steps in institutionalized older adults during daily life activities: The validation of two motion sensors. Journal of Aging and Physical Activity, 23(3), 383–390. https://doi.org/10.1123/japa.2013-0223.CrossRefGoogle Scholar
  41. Masse, L. C., & de Niet, J. E. (2012). Sources of validity evidence needed with self-report measures of physical activity. Journal of Physical Activity and Health, 9(Suppl 1), S44–S55.CrossRefGoogle Scholar
  42. McKenzie, T. L., Cohen, D. A., Sehgal, A., Williamson, S., & Golinelli, D. (2006). System for observing play and recreation in communities (SOPARC): Reliability and feasibility measures. Journal of Physical Activity and Health, 3(Suppl 1), S208–S222.CrossRefGoogle Scholar
  43. Middleton, L. E., Kirkland, S. A., Mitnitski, A., & Rockwood, K. (2010). Proxy reports of physical activity were valid in older people with and without cognitive impairment. Journal of Clinical Epidemiology, 63(4), 435–440. https://doi.org/10.1016/j.jclinepi.2009.06.009.CrossRefGoogle Scholar
  44. Nelson, M. B., Kaminsky, L. A., Dickin, D. C., & Montoye, A. H. (2016). Validity of consumer-based physical activity monitors for specific activity types. Medicine & Science in Sports & Exercise, 48(8), 1619–1628. https://doi.org/10.1249/MSS.0000000000000933.CrossRefGoogle Scholar
  45. Neumann, P. J., Araki, S. S., & Gutterman, E. M. (2000). The use of proxy respondents in studies of older adults: Lessons, challenges, and opportunities. Journal of the American Geriatrics Society, 48(12), 1646–1654. https://doi.org/10.1111/j.1532-5415.2000.tb03877.x.CrossRefGoogle Scholar
  46. Parra, D. C., McKenzie, T. L., Ribeiro, I. C., Ferreira Hino, A. A., Dreisinger, M., Coniglio, K., et al. (2010). Assessing physical activity in public parks in Brazil using systematic observation. American Journal of Public Health, 100(8), 1420–1426. https://doi.org/10.2105/AJPH.2009.181230.CrossRefGoogle Scholar
  47. Pettee Gabriel, K., McClain, J. J., Lee, C. D., Swan, P. D., Alvar, B. A., Mitros, M. R., & Ainsworth, B. E. (2009). Evaluation of physical activity measures used in middle-aged women. Medicine & Science in Sports & Exercise, 41(7), 1403–1412. https://doi.org/10.1249/MSS.0b013e31819b2482.CrossRefGoogle Scholar
  48. Pleson, E., Nieuwendyk, L. M., Lee, K. K., Chaddah, A., Nykiforuk, C. I., & Schopflocher, D. (2014). Understanding older adults’ usage of community green spaces in Taipei, Taiwan. International Journal of Environmental Research and Public Health, 11(2), 1444–1464. https://doi.org/10.3390/ijerph110201444.CrossRefGoogle Scholar
  49. Sabia, S., Cogranne, P., van Hees, V. T., Bell, J. A., Elbaz, A., Kivimaki, M., & Singh-Manoux, A. (2015). Physical activity and adiposity markers at older ages: Accelerometer vs questionnaire data. Journal of the American Medical Directors Association, 16(5), 438 e437–438 e413. https://doi.org/10.1016/j.jamda.2015.01.086.CrossRefGoogle Scholar
  50. Schrack, J. A., Simonsick, E. M., Chaves, P. H., & Ferrucci, L. (2012). The role of energetic cost in the age-related slowing of gait speed. Journal of the American Geriatrics Society, 60(10), 1811–1816. https://doi.org/10.1111/j.1532-5415.2012.04153.x.CrossRefGoogle Scholar
  51. Schrack, J. A., Zipunnikov, V., Goldsmith, J., Bandeen-Roche, K., Crainiceanu, C. M., & Ferrucci, L. (2014). Estimating energy expenditure from heart rate in older adults: A case for calibration. PLoS One, 9(4), e93520. https://doi.org/10.1371/journal.pone.0093520.CrossRefGoogle Scholar
  52. Schrack, J. A., Cooper, R., Koster, A., Shiroma, E. J., Murabito, J. M., Rejeski, W. J., et al. (2016). Assessing daily physical activity in older adults: Unraveling the complexity of monitors, measures, and methods. Journals of Gerontology. Series A Biological Sciences and Medical Sciences, 71(8), 1039–1048. https://doi.org/10.1093/gerona/glw026.CrossRefGoogle Scholar
  53. Sternfeld, B., Jiang, S. F., Picchi, T., Chasan-Taber, L., Ainsworth, B., & Quesenberry, C. P., Jr. (2012). Evaluation of a cell phone-based physical activity diary. Medicine & Science in Sports & Exercise, 44(3), 487–495. https://doi.org/10.1249/MSS.0b013e3182325f45.CrossRefGoogle Scholar
  54. Stewart, A. L., Mills, K. M., King, A. C., Haskell, W. L., Gillis, D., & Ritter, P. L. (2001). CHAMPS physical activity questionnaire for older adults: Outcomes for interventions. Medicine & Science in Sports & Exercise, 33(7), 1126–1141.CrossRefGoogle Scholar
  55. Strath, S. J., Pfeiffer, K. A., & Whitt-Glover, M. C. (2012). Accelerometer use with children, older adults, and adults with functional limitations. Medicine & Science in Sports & Exercise, 44(1 Suppl 1), S77–S85. https://doi.org/10.1249/MSS.0b013e3182399eb1.CrossRefGoogle Scholar
  56. Strath, S. J., Kaminsky, L. A., Ainsworth, B. E., Ekelund, U., Freedson, P. S., Gary, R. A., et al. (2013). Guide to the assessment of physical activity: Clinical and research applications: A scientific statement from the American Heart Association. Circulation, 128(20), 2259–2279. https://doi.org/10.1161/01.cir.0000435708.67487.da.CrossRefGoogle Scholar
  57. Swank, A. M. (2012). Chapter 13. Assessment of physical activity. In D. P. Swain, C. A. Brawner, & American College of Sports Medicine (Eds.), ACSM’s resource manual for guidelines for exercise testing and prescription. Philadelphia: Lippincott Williams & Wilkins.Google Scholar
  58. Sylvia, L. G., Bernstein, E. E., Hubbard, J. L., Keating, L., & Anderson, E. J. (2014). Practical guide to measuring physical activity. Journal of the Academy of Nutrition and Dietetics, 114(2), 199–208. https://doi.org/10.1016/j.jand.2013.09.018.CrossRefGoogle Scholar
  59. Taraldsen, K., Chastin, S. F., Riphagen, I. I., Vereijken, B., & Helbostad, J. L. (2012). Physical activity monitoring by use of accelerometer-based body-worn sensors in older adults: A systematic literature review of current knowledge and applications. Maturitas, 71(1), 13–19. https://doi.org/10.1016/j.maturitas.2011.11.003.CrossRefGoogle Scholar
  60. van der Ploeg, H. P., Merom, D., Chau, J. Y., Bittman, M., Trost, S. G., & Bauman, A. E. (2010). Advances in population surveillance for physical activity and sedentary behavior: Reliability and validity of time use surveys. American Journal of Epidemiology, 172(10), 1199–1206. https://doi.org/10.1093/aje/kwq265.CrossRefGoogle Scholar
  61. Van Domelen, D. R., Caserotti, P., Brychta, R. J., Harris, T. B., Patel, K. V., Chen, K. Y., et al. (2014). Is there a sex difference in accelerometer counts during walking in older adults? Journal of Physical Activity and Health, 11(3), 626–637. https://doi.org/10.1123/jpah.2012-0050.CrossRefGoogle Scholar
  62. van Uffelen, J. G., Heesch, K. C., Hill, R. L., & Brown, W. J. (2011). A qualitative study of older adults’ responses to sitting-time questions: Do we get the information we want? BMC Public Health, 11, 458.CrossRefGoogle Scholar
  63. Vanroy, C., Vanlandewijck, Y., Cras, P., Feys, H., Truijen, S., Michielsen, M., & Vissers, D. (2014). Is a coded physical activity diary valid for assessing physical activity level and energy expenditure in stroke patients? PLoS One, 9(6), e98735. https://doi.org/10.1371/journal.pone.0098735.CrossRefGoogle Scholar
  64. Westerterp, K. R. (2009). Assessment of physical activity: A critical appraisal. European Journal of Applied Physiology, 105(6), 823–828. https://doi.org/10.1007/s00421-009-1000-2.CrossRefGoogle Scholar
  65. Yates, T., Henson, J., Edwardson, C., Bodicoat, D. H., Davies, M. J., & Khunti, K. (2015). Differences in levels of physical activity between White and South Asian populations within a healthcare setting: Impact of measurement type in a cross-sectional study. BMJ Open, 5(7), e006181. https://doi.org/10.1136/bmjopen-2014-006181.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Nicolas Aguilar-Farias
    • 1
  • Marijke Hopman-Rock
    • 2
  1. 1.Departamento de Educación Física, Deportes y RecreaciónUniversidad de La FronteraTemucoChile
  2. 2.EMGO Institute Department of Public and Occupational HealthVUmcAmsterdamThe Netherlands

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