Validation of the IPAQ Against Different Accelerometer Cut-Points in Older Cancer Survivors and Adults at Risk of Cancer

in Journal of Aging and Physical Activity
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The present study investigated the convergent validity of an interview-administered IPAQ long version (IPAQ-L) in an older population by comparison with objective accelerometry movement data. Data from 52 participants (mean age 67.9 years, 62% male) were included in the analysis. Treadmill derived (TM-ACC: 1,952–5,724 cpm) and free-living physical activity (PA) derived (FL-ACC: 760–5,724 cpm) accelerometer cut-points were used as criterion. IPAQ-L measures (total PA, leisure-time, walking-time, sedentary time) were significantly correlated with accelerometry (P ≤ .05). Differences in sex were observed. Bland-Altman Limits of Agreement analysis showed that the IPAQ-L overestimated PA in relation to accelerometry. Our results show that an interview-administered IPAQ-L shows low to moderate convergent validity with objective PA measures in this population but there may be differences between males and females which should be further investigated.

Lewis is with the Department of Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom. Hernon is with Norfolk and Norwich University Hospital, Norwich, United Kingdom. Clark is with the Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, United Kingdom. Saxton is with the Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.

Address author correspondence to Liane S. Lewis at liane.lewis@strath.ac.uk.
  • Bland, J.M., & Altman, D.G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet, 327(8476), 307–310. doi:10.1016/S0140-6736(86)90837-8

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Borg, G.A. (1982). Psychophysical bases of perceived exertion. Medicine & Science in Sports & Exercise, 14(5), 377–381. PubMed

  • Cerin, E., Barnett, A., Cheung, M., Sit, P., Cindy, H., Macfarlane, D.J., & Chan, W. (2012). Reliability and validity of the IPAQ-L in a sample of Hong Kong urban older adults: does neighborhood of residence matter? Journal of Aging & Physical Activity, 20(4), 402–420. PubMed doi:10.1123/japa.20.4.402

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Choi, L., Liu, Z., Matthews, C.E., & Buchowski, M.S. (2011). Validation of accelerometer wear and nonwear time classification algorithm. Medicine & Science in Sports & Exercise, 43(2), 357–364. PubMed doi:10.1249/MSS.0b013e3181ed61a3

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Copeland, J.L., & Esliger, D.W. (2009). Accelerometer assessment of physical activity in active, healthy older adults. Journal of Aging & Physical Activity, 17(1), 17–30. PubMed doi:10.1123/japa.17.1.17

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Craig, C.L., Marshall, A.L., Sjostrom, M., Bauman, A.E., Booth, M.L., Ainsworht, B.E., & Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise, 195(9131/03), 3508–1381.

    • Search Google Scholar
    • Export Citation
  • Department of Health. (2011). Start Active, Stay Active: a report on physical activity for health from the four home countries’. Retrieved from www.bhfactive.org.uk

    • Export Citation
  • Freedson, P.S., Melanson, E., & Sirard, J. (1998). Calibration of the Computer Science and Applications, Inc. accelerometer. Medicine & Science in Sports & Exercise, 30(5), 777–781. PubMed doi:10.1097/00005768-199805000-00021

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hagstromer, M., Ainsworth, B.E., Oja, P., & Sjostrom, M. (2010). Comparison of a subjective and an objective measure of physical activity in a population sample. Journal of Physical Activity & Health, 7(4), 541–550. PubMed doi:10.1123/jpah.7.4.541

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hagstromer, M., Oja, P., & Sjostrom, M. (2006). The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutrition, 9(6), 755–762. PubMed doi:10.1079/PHN2005898

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hall, K.S., Howe, C.A., Rana, S.R., Martin, C.L., & Morey, M.C. (2013). METs and accelerometry of walking in older adults: standard versus measured energy cost. Medicine & Science in Sports & Exercise, 45(3), 574–582. PubMed doi:10.1249/MSS.0b013e318276c73c

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hansen, B.H., Børtnes, I., Hildebrand, M., Holme, I., Kolle, E., & Anderssen, S.A. (2013). Validity of the ActiGraph GT1M during walking and cycling. Journal of Sports Sciences, 32(6), 510–516. doi:10.1080/02640414.2013.844347

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hendelman, D., Miller, K., Baggett, C., Debold, E., & Freedson, P. (2000). Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Medicine & Science in Sports & Exercise, 32(Suppl. 9), 442–449. PubMed doi:10.1097/00005768-200009001-00002

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hopkins, W. (2002). A new view of statistics: correlation coefficient. Retrieved from http://www.sportsci.org/resource/stats/index.html, accessed on October 2, 2016.

    • Export Citation
  • Janz, K.F. (2006). Physical activity in epidemiology: moving from questionnaire to objective measurement. British Journal of Sports Medicine, 40(3), 191–192. PubMed doi:10.1136/bjsm.2005.023036

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, Y., Beets, M., & Welk, G. (2012). Everything you wanted to know about selecting the “right” Actigraph accelerometer cut-points for youth, but ... : A systematic review. Journal of Science and Medicine in Sport, 15(4), 311–321.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, D.Y., Jung, Y., Park, R., & Joo, N. (2014). Different location of triaxial accelerometer and different energy expenditures. Yonsei Medical Journal, 55(4), 1145–1151 PubMed doi:10.3349/ymj.2014.55.4.1145

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kozey, S.L., Lyden, K., Howe, C.A., Staudenmayer, J.W., & Freedson, P.S. (2010). Accelerometer output and MET values of common physical activities. Medicine & Science in Sports & Exercise, 42(9), 1776–1784. PubMed doi:10.1249/MSS.0b013e3181d479f2

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Macfarlane, D., Chan, A., & Cerin, E. (2011). Examining the validity and reliability of the Chinese version of the International Physical Activity Questionnaire, long form (IPAQ-LC). Public Health Nutrition, 14(03), 443–450. doi:10.1017/S1368980010002806

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Matthews, C.E. (2005). Calibration of accelerometer output for adults. Medicine & Science in Sports & Exercise, 37(11), S512–S522. doi:10.1249/01.mss.0000185659.11982.3d

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Matthews, C.E., Ainsworth, B.E., Hanby, C., Pate, R.R., Addy, C., Freedson, P.S., & Macera, C.A. (2005). Development and testing of a short physical activity recall questionnaire. Medicine & Science in Sports & Exercise, 37(6), 986–994. PubMed

    • Search Google Scholar
    • Export Citation
  • Matthews, C.E., Chen, K., Freedson, P.S., Buchowski, M.S., Beech, B.M., Pate, R.R., & Troiano, R.P. (2008). Amount of time spent in sedentary behaviors in the United States, 2003-2004. American Journal of Epidemiology, 167(7), 875–881 PubMed doi:10.1093/aje/kwm390

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Miller, N.E., Strath, S.J., Swartz, A.M., & Cashin, S.E. (2010). Estimating absolute and relative physical activity intensity across age via accelerometry in adults. Journal of Aging and Physical Activity, 18(2), 158–170. PubMed doi:10.1123/japa.18.2.158

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nelson, M.E., Rejeski, W., Blair, S.N., Duncan, P.W., Judge, J.O., King, A.C., & Castaneda-Sceppa, C. (2007). Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Medicine & Science in Sports & Exercise, 39(8), 1435–1445. PubMed doi:10.1249/mss.0b013e3180616aa2

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pollock, M.L., Gaesser, G.A., Butcher, J.D., Després, J.-P., Dishman, R.K., Franklin, B.A., & Garber, C.E.. (1998). ACSM position stand: the recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness, and flexibility in healthy adults. Medicine & Science in Sports & Exercise, 30(6), 975–991.

    • Search Google Scholar
    • Export Citation
  • Prince, S.A., Adamo, K.B., Hamel, M.E., Hardt, J., Connor Gorber, S., & Tremblay, M. (2008). A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 5, 56. PubMed doi:10.1186/1479-5868-5-56

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Prince, S.A., Reed, J.L., Mark, A.E., Blanchard, C.M., Grace, S.L., & Reid, R.D. (2015). A comparison of accelerometer cut-points among individuals with coronary artery disease. PLoS One [Electronic Resource], 10(9), e0137759. doi:10.1371/journal.pone.0137759

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Swartz, A.M., Strath, S.J., Bassett, D.R., O Brien, W.L., King, G.A., & Ainsworth, B.E. (2000). Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. Medicine & Science in Sports & Exercise, 32(Suppl. 9), S450–S456. PubMed doi:10.1097/00005768-200009001-00003

    • Crossref
    • Search Google Scholar
    • Export Citation
  • The IPAQ Group. (2004). IPAQ scoring protocol. Retrieved from www.ipaq.ki.se, accessed on January 8, 2014.

    • Export Citation
  • Van Holle, V., De Bourdeaudhuij, I., Deforche, B., Van Cauwenberg, J., & Van Dyck, D. (2015). Assessment of physical activity in older Belgian adults: validity and reliability of an adapted interview version of the long International Physical Activity Questionnaire (IPAQ-L). BMC Public Health, 15(1), 433–447. doi:10.1186/s12889-015-1785-3

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Winchester, R., Turner, L.A., Thomas, K., Ansley, L., Thompson, K.G., Micklewright, D., & St Clair Gibson, A. (2012). Observer effects on the rating of perceived exertion and affect during exercise in recreationally active males. Perceptual & Motor Skills, 115(1), 213–227. PubMed doi:10.2466/25.07.05.PMS.115.4.213-227

    • Crossref
    • Search Google Scholar
    • Export Citation
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