International Physical Activity Questionnaire Short Form and accelerometer-assessed physical activity: concurrent validity using six cut-points in HF patients

. 2024 Feb ; 11 (1) : 126-135. [epub] 20231016

Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid37842962

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)

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.

Zobrazit více v PubMed

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, PubMed DOI

Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, PubMed DOI

Sallis JF, Bowles HR, Bauman A, Ainsworth BE, Bull FC, Craig CL, 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, 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, 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, PubMed DOI

Stavropoulos‐Kalinoglou A, Metsios GS, Smith JP, Panoulas VF, Douglas KMJ, Jamurtas AZ, PubMed DOI

Vassbakk‐Brovold K, Kersten C, Fegran L, Mjaland O, Mjaland S, Seiler S, 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, 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, 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, PubMed DOI

Vetrovsky T, Clark CCT, Bisi MC, Siranec M, Linhart A, Tufano JJ, 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, PubMed DOI PMC

Santos‐Lozano A, Santin‐Medeiros F, Cardon G, Torres‐Luque G, Bailon R, Bergmeir C, 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, 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, PubMed DOI PMC

Sanders GJ, Boddy LM, Sparks SA, Curry WB, Roe B, Kaehne A, PubMed DOI

O'Donnell J, Smith‐Byrne K, Velardo C, Conrad N, Salimi‐Khorshidi G, Doherty A, PubMed DOI PMC

Lang RM, Badano LP, Mor‐Avi V, Afilalo J, Armstrong A, Ernande L, 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, PubMed DOI PMC

Tudor‐Locke C, Ducharme SW, Aguiar EJ, Schuna JM, Barreira TV, Moore CC, PubMed DOI PMC

Tudor‐Locke C, Han H, Aguiar EJ, Barreira TV, Schuna JM, Kang M, PubMed DOI PMC

Migueles JH, Cadenas‐Sanchez C, Ekelund U, Nystrom CD, Mora‐Gonzalez J, Lof M, 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, 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

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...