International Physical Activity Questionnaire Short Form and accelerometer-assessed physical activity: concurrent validity using six cut-points in HF patients
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články
Grantová podpora
2020-0333
Institute for Health and Biomedical Research of Alicante
DTS21/00171
Instituto de Salud Carlos III (ISCIII), co-funded by European Union. (ERDF, "A way to make Europe)
PubMed
37842962
PubMed Central
PMC10804186
DOI
10.1002/ehf2.14514
Knihovny.cz E-zdroje
- Klíčová slova
- Activity monitor, Agreement, Device-based measures, HF, MVPA, Self-reported measures,
- MeSH
- akcelerometrie MeSH
- cvičení * MeSH
- lidé MeSH
- průzkumy a dotazníky MeSH
- srdeční selhání * diagnóza MeSH
- zpráva o sobě MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
AIMS: Physical activity (PA) is an important target for improving clinical outcomes in heart failure (HF) patients. Nonetheless, assessing the daily PA profile in this population is a challenging task, traditionally performed using self-report questionnaires such as the International PA Questionnaire Short Form (IPAQ-SF). This study aimed to evaluate the concurrent validity of the IPAQ-SF and accelerometer-assessed PA using six published cut-points in patients with HF and reduced or mildly reduced ejection fraction. METHODS AND RESULTS: The concordance between the IPAQ-SF and a hip-worn accelerometer regarding daily time spent performing moderate to vigorous PA in bouts of at least 10 min was assessed in 53 participants for seven consecutive days using six different cut-points (Barnett, Dibben, Mark, Sanders, Troiano, and Vaha-Ypya). Spearman's correlation and Bland-Altman plots were used to evaluate concurrent validity between methods. Regressions were used to study the association between patient variables, wear protocol (waking hour or 24 h), and absolute bias. The kappa index was used to evaluate the concordance between IPAQ-SF and accelerometry for classifying patients as active or non-active. All analyses were re-run using non-bouted metrics to investigate the effect of bouted versus non-bouted analysis. The IPAQ-SF and accelerometry showed low to negligible correlation (ρ = 0.12 to 0.37), depending on the cut-point used. The regression analysis showed that the absolute bias was higher in participants following the waking-hour protocol at all cut-points except Dibben's (P ≤ 0.007). The concordance between the two methods to classify patients as active and non-active was low when using Mark (κ = 0.23) and Barnett (κ = 0.34) cut-points and poor for the remaining cut-points (κ = 0.03 to 0.18). The results of the sensitivity analysis showed negligible to low correlation using non-bouted metrics (ρ = 0.27 to 0.33). CONCLUSIONS: Moderate to vigorous PA measures using IPAQ-SF and accelerometers are not equivalent, and we do not encourage researchers to use IPAQ-SF alone when assessing PA in HF patients. Moreover, applying personalized collection and processing criteria is important when assessing PA in HF patients. We recommend following the 24 h protocol and selecting cut-points calibrated in patients with cardiovascular diseases. Finally, it is necessary to develop a new tailored questionnaire that considers walking intensity and is adjusted to the current World Health Organisation recommendations, which use non-bouted metrics.
Alicante Institute for Health and Biomedical Research Alicante Spain
Department of Cardiology Dr Balmis General University Hospital Alicante Spain
Department of Physical Education and Sport University of Valencia Valencia Spain
Department of Sport Sciences Sports Research Centre Miguel Hernández University of Elche Elche Spain
Faculty of Physical Education and Sport Charles University Prague Czech Republic
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Blasco‐Peris C, Fuertes‐Kenneally L, Vetrovsky T, Sarabia JM, Climent‐Paya V, Manresa‐Rocamora A. Effects of exergaming in patients with cardiovascular disease compared to conventional cardiac rehabilitation: A systematic review and meta‐analysis. Int J Environ Res Public Health 2022;19:3492. doi:10.3390/ijerph19063492 PubMed DOI PMC
Kondamudi N, Haykowsky M, Forman DE, Berry JD, Pandey A. Exercise training for prevention and treatment of heart failure. Prog Cardiovasc Dis 2017;60:115–120. doi:10.1016/j.pcad.2017.07.001 PubMed DOI
McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Bohm M, et al. 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J 2021;42:3599–3726. doi:10.1093/eurheartj/ehab368 PubMed DOI
Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12‐country reliability and validity. Med Sci Sports Exerc 2003;35:1381–1395. doi:10.1249/01.MSS.0000078924.61453.FB PubMed DOI
Sallis JF, Bowles HR, Bauman A, Ainsworth BE, Bull FC, Craig CL, et al. Neighborhood environments and physical activity among adults in 11 countries. Am J Prev Med 2009;36:484–490. doi:10.1016/j.amepre.2009.01.031 PubMed DOI
Sember V, Meh K, Soric M, Starc G, Rocha P, Jurak G. Validity and reliability of international physical activity questionnaires for adults across EU countries: systematic review and meta analysis. Int J Environ Res Public Health 2020;17:23. doi:10.3390/ijerph17197161 PubMed DOI PMC
Benitez‐Porres J, Delgado M, Ruiz JR. Comparison of physical activity estimates using international physical activity questionnaire (IPAQ) and accelerometry in fibromyalgia patients: The Al‐Andalus study. J Sports Sci 2013;31:1741–1752. doi:10.1080/02640414.2013.803594 PubMed DOI
Firth J, Stubbs B, Vancampfort D, Schuch FB, Rosenbaum S, Ward PB, et al. The validity and value of self‐reported physical activity and Accelerometry in people with schizophrenia: A population‐ scale study of the UK biobank. Schizophr Bull 2018;44:1293–1300. doi:10.1093/schbul/sbx149 PubMed DOI PMC
Joseph KL, Dagfinrud H, Christie A, Hagen KB, Tveter AT. Criterion validity of the international physical activity questionnaire‐short form (IPAQ‐SF) for use in clinical practice in patients with osteoarthritis. BMC Musculoskelet Disord 2021;22:9. doi:10.1186/s12891-021-04069-z PubMed DOI PMC
Krueger T, Behrens JR, Grobelny A, Otte K, Mansow‐Model S, Kayser B, et al. Subjective and objective assessment of physical activity in multiple sclerosis and their relation to health‐related quality of life. Bmc. Neurology 2017;17:10. doi:10.1186/s12883-016-0783-0 PubMed DOI PMC
Rosa CSD, Gracia‐Marco L, Barker AR, Freitas IF, Monteiro HL. Assessment of physical activity by accelerometer and IPAQ‐short version in patients with chronic kidney disease undergoing hemodialysis. Blood Purif 2015;40:250–255. doi:10.1159/000437040 PubMed DOI
Schmidt C, Santos M, Bohn L, Delgado BM, Moreira‐Goncalves D, Leite‐Moreira A, et al. Comparison of questionnaire and accelerometer‐based assessments of physical activity in patients with heart failure with preserved ejection fraction: Clinical and prognostic implications. Scand Cardiovasc J 2020;54:77–83. doi:10.1080/14017431.2019.1707863 PubMed DOI
Stavropoulos‐Kalinoglou A, Metsios GS, Smith JP, Panoulas VF, Douglas KMJ, Jamurtas AZ, et al. What predicts obesity in patients with rheumatoid arthritis? An investigation of the interactions between lifestyle and inflammation. Int J Obes (Lond) 2010;34:295–301. doi:10.1038/ijo.2009.220 PubMed DOI
Vassbakk‐Brovold K, Kersten C, Fegran L, Mjaland O, Mjaland S, Seiler S, et al. Cancer patients participating in a lifestyle intervention during chemotherapy greatly over‐report their physical activity level: A validation study. BMC Sports Sci Med Rehabil 2016;8:9. doi:10.1186/s13102-016-0035-z PubMed DOI PMC
Veitch WG, Climie RE, Gabbe BJ, Dunstan DW, Owen N, Ekegren CL. Agreement between the international physical activity questionnaire and accelerometry in adults with orthopaedic injury. Int J Environ Res Public Health 2020;17:13. doi:10.3390/ijerph17176139 PubMed DOI PMC
Klompstra L, Kyriakou M, Lambrinou E, Piepoli MF, Coats AJS, Cohen‐Solal A, et al. Measuring physical activity with activity monitors in patients with heart failure: From literature to practice. A position paper from the Committee on Exercise Physiology and Training of the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail 2021;23:83–91. doi:10.1002/ejhf.2035 PubMed DOI PMC
Sylvia LG, Bernstein EE, Hubbard JL, Keating L, Anderson EJ. Practical guide to measuring physical activity. J Acad Nutr Diet 2014;114:199–208. doi:10.1016/j.jand.2013.09.018 PubMed DOI PMC
Limb ES, Ahmad S, Cook DG, Kerry SM, Ekelund U, Whincup PH, et al. Measuring change in trials of physical activity interventions: A comparison of self‐report questionnaire and accelerometry within the PACE‐UP trial. Int J Behav Nutr Phys Act 2019;16:10. doi:10.1186/s12966-018-0762-5 PubMed DOI PMC
Shoemaker MJ, Mattern M, Scholten H, Zeitler J, Gore S. Subjective daily physical activity measures in heart disease: A systematic review. J Phys Act Health 2021;18:450–460. doi:10.1123/jpah.2020-0661 PubMed DOI
Stelmach M. Physical activity assessment tools in monitoring physical activity: The global physical activity questionnaire (GPAQ), the international physical activity questionnaire (IPAQ) or accelerometers ‐ choosing the best tools. Health Problems Civilization 2018;12:57–63. doi:10.5114/hpc.2018.74189 DOI
Migueles JH, Cadenas‐Sanchez C, Tudor‐Locke C, Lof M, Esteban‐Cornejo I, Molina‐Garcia P, et al. Comparability of published cut‐points for the assessment of physical activity: Implications for data harmonization. Scand J Med Sci Sports 2019;29:566–574. doi:10.1111/sms.13356 PubMed DOI
Vetrovsky T, Clark CCT, Bisi MC, Siranec M, Linhart A, Tufano JJ, et al. Advances in accelerometry for cardiovascular patients: A systematic review with practical recommendations. Esc Heart Failure 2020;7:2021–2031. doi:10.1002/ehf2.12781 PubMed DOI PMC
Kim Y, Beets MW, Welk GJ. Everything you wanted to know about selecting the "right" Actigraph accelerometer cut‐points for youth, but …: A systematic review. J Sci Med Sport 2012;15:311–321. doi:10.1016/j.jsams.2011.12.001 PubMed DOI
Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, Inc accelerometer. Med Sci Sports Exerc 1998;30:777–781. doi:10.1097/00005768-199805000-00021 PubMed DOI
Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008;40:181–188. doi:10.1249/mss.0b013e31815a51b3 PubMed DOI
Dibben GO, Hillsdon M, Dalal HM, Tang LH, Doherty PJ, Taylor R. Home‐based cardiac rehabilitation and physical activity in people with heart failure: A secondary analysis of the REACH‐HF randomised controlled trials. BMJ Open 2023;13:e063284. doi:10.1136/bmjopen-2022-063284 PubMed DOI PMC
Dibben GO, Gandhi MM, Taylor R, Dalal HM, Metcalf B, Doherty P, et al. Physical activity assessment by accelerometry in people with heart failure. BMC Sports Sci Med Rehabil 2020;12:47. doi:10.1186/s13102-020-00196-7 PubMed DOI PMC
Santos‐Lozano A, Santin‐Medeiros F, Cardon G, Torres‐Luque G, Bailon R, Bergmeir C, et al. Actigraph GT3X: Validation and determination of physical activity intensity cut points. Int J Sports Med 2013;34:975–982. doi:10.1055/s-0033-1337945 PubMed DOI
Prince SA, Reed JL, Mark AE, Blanchard CM, Grace SL, Reid RD. A comparison of accelerometer cut‐points among individuals with coronary artery disease. PLoS ONE 2015;10:12. doi:10.1371/journal.pone.0137759 PubMed DOI PMC
Mark AE, Prince SA, Reed JL, Reid RD. Actigraph GT3X+ cut points in coronary artery disease patients: A pilot study. Health Fitness J Can 2015;8:13–21. doi:10.14288/hfjc.v8i2.187 DOI
Barker J, Byrne KS, Doherty A, Foster C, Rahimi K, Ramakrishnan R, et al. Physical activity of UK adults with chronic disease: Cross‐sectional analysis of accelerometer‐measured physical activity in 96 706 UK biobank participants. Int J Epidemiol 2019;48:1167–1174. doi:10.1093/ije/dyy294 PubMed DOI PMC
Hildebrand M, Van Hees VT, Hansen BH, Ekelund U. Age group comparability of raw accelerometer output from wrist‐ and hip‐worn monitors. Med Sci Sports Exerc 2014;46:1816–1824. doi:10.1249/MSS.0000000000000289 PubMed DOI
Jonsson M, Westerdahl E, Ahlsson A, Hurtig‐Wennlof A. Validation of two self‐reported physical activity instruments against accelerometer data in patients undergoing lung cancer surgery. Physiother Theory Pract 2022;38:3119–3125. doi:10.1080/09593985.2021.1994071 PubMed DOI
Barnett A, van den Hoek D, Barnett D, Cerin E. Measuring moderate‐intensity walking in older adults using the ActiGraph accelerometer. Bmc. Geriatrics 2016;16:211. doi:10.1186/s12877-016-0380-5 PubMed DOI PMC
Subias‐Perie J, Navarrete‐Villanueva D, Fernandez‐Garcia AI, Moradell A, Gesteiro E, Perez‐Gomez J, et al. Prevalence of metabolic syndrome and association with physical activity and frailty status in Spanish older adults with decreased functional capacity: a cross‐sectional study. Nutrients 2022;14:2302. doi:10.3390/nu14112302 PubMed DOI PMC
Sanders GJ, Boddy LM, Sparks SA, Curry WB, Roe B, Kaehne A, et al. Evaluation of wrist and hip sedentary behaviour and moderate‐to‐vigorous physical activity raw acceleration cutpoints in older adults. J Sports Sci 2019;37:1270–1279. doi:10.1080/02640414.2018.1555904 PubMed DOI
O'Donnell J, Smith‐Byrne K, Velardo C, Conrad N, Salimi‐Khorshidi G, Doherty A, et al. Self‐reported and objectively measured physical activity in people with and without chronic heart failure: UK biobank analysis. Open Heart 2020;7:7. doi:10.1136/openhrt-2019-001099 PubMed DOI PMC
Lang RM, Badano LP, Mor‐Avi V, Afilalo J, Armstrong A, Ernande L, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur Heart J‐Cardiovasc Imaging 2015;16:233–271. doi:10.1093/ehjci/jev014 PubMed DOI
WHO . World Health Organization. Guidelines on physical activity and sedentary behaviour. 2020. PubMed
Vaha‐Ypya H, Vasankari T, Husu P, Manttarl A, Vuorimaa T, Suni J, et al. Validation of cut‐points for evaluating the intensity of physical activity with Accelerometry‐based mean amplitude deviation (MAD). PLoS ONE 2015;10:e0134813. doi:10.1371/journal.pone.0134813 PubMed DOI PMC
Tudor‐Locke C, Ducharme SW, Aguiar EJ, Schuna JM, Barreira TV, Moore CC, et al. Walking cadence (steps/min) and intensity in 41 to 60‐year‐old adults: The CADENCE‐adults study. Int J Behav Nutr Phys Act 2020;17:137. doi:10.1186/s12966-020-01045-z PubMed DOI PMC
Tudor‐Locke C, Han H, Aguiar EJ, Barreira TV, Schuna JM, Kang M, et al. How fast is fast enough? Walking cadence (steps/min) as a practical estimate of intensity in adults: A narrative review. Br J Sports Med 2018;52:776–788. doi:10.1136/bjsports-2017-097628 PubMed DOI PMC
Migueles JH, Cadenas‐Sanchez C, Ekelund U, Nystrom CD, Mora‐Gonzalez J, Lof M, et al. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: A systematic review and practical considerations. Sports Med 2017;47:1821–1845. doi:10.1007/s40279-017-0716-0 PubMed DOI PMC
Choi L, Liu ZW, Matthews CE, Buchowski MS. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc 2011;43:357–364. doi:10.1249/MSS.0b013e3181ed61a3 PubMed DOI PMC
van Hees VT, Gorzelniak L, Leon ECD, Eder M, Pias M, Taherian S, et al. Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PLoS ONE 2013;8:e61691. doi:10.1371/journal.pone.0061691 PubMed DOI PMC
Wolff‐Hughes DL, Fitzhugh EC, Bassett DR, Churilla JR. Total activity counts and bouted minutes of moderate‐to‐vigorous physical activity: Relationships with cardiometabolic biomarkers using 2003‐2006 NHANES. J Phys Act Health 2015;12:694–700. doi:10.1123/jpah.2013-0463 PubMed DOI
Altman D. Practical statistics for medical research. London: Chapman and Hall; 1991:1–611.
Troiano RP, McClain JJ, Brychta RJ, Chen KY. Evolution of accelerometer methods for physical activity research. Br J Sports Med 2014;48:1019–1023. doi:10.1136/bjsports-2014-093546 PubMed DOI PMC
Prince SA, Adamo KB, Hamel ME, Hardt J, Gorber SC, Tremblay M. A comparison of direct versus self‐report measures for assessing physical activity in adults: A systematic review. Int J Behav Nutr Phys Act 2008;5:56. doi:10.1186/1479-5868-5-56 PubMed DOI PMC
Migueles JH, Rowlands AV, Huber H, Sabia S, van Hees VT. GGIR: A research community–driven open source R package for generating physical activity and sleep outcomes from multi‐day raw accelerometer data. J Meas Phys Behav 2019;2:188–196. doi:10.1123/jmpb.2018-0063 DOI