Psychometric Properties of the Turkish Adaptation of the Yale Physical Activity Survey

in Journal of Aging and Physical Activity

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Erhan SeçerDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Manisa Celal Bayar University, Mansia, Turkey

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İlknur NazDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, İzmir Katip Celebi University, İzmir, Turkey

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Hilal UzunlarDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, İzmir Katip Celebi University, İzmir, Turkey

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Gülşah ÇallioğluDepartment of Physiotherapy and Rehabilitation, Institute of Health Sciences, İzmir Katip Celebi University, İzmir, Turkey

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Yusuf EmükDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, İzmir Katip Celebi University, İzmir, Turkey

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Melda Başer Seçerİzmir Katip Celebi University Ataturk Education and Research Hospital, İzmir, Turkey

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Hasan ÖztinVocational School of Health Services, Manisa Celal Bayar University, Manisa, Turkey

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DOI:
https://doi.org/10.1123/japa.2022-0207
Keywords:
questionnaire; assessment; older adults
First Published Online:
21 Nov 2022
In Print:
Ahead of Print
Page Range:
1–8
Restricted access

This study aimed to examine the convergent validity and test–retest reliability of the Turkish version of the Yale Physical Activity Survey (YPAS-TR). Eighty-one volunteer older adults were included in the study. Test–retest reliability was evaluated using the intraclass correlation coefficient. Correlation coefficients between YPAS-TR and Physical Activity Scale for the Elderly (PASE), Short Form-36, and Short Physical Performance Battery were examined for convergent validity. Acceptable intraclass correlation coefficient values were reached for YPAS-TR energy expenditure, total physical activity time and summary, vigorous, leisurely walking, moving, standing, and sitting indices (intraclass correlation coefficient = .96–.99). There was a moderate correlation between energy expenditure and total physical activity time with PASE (leisure time activities), PASE (household activities), and PASE (total) (r = .478, r = .468, r = .570, r = .406, r = .490, r = .550, respectively, p < .001). Also, a weak correlation was found between summary and leisurely walking index with PASE (household activities), standing index with PASE (leisure time activities), and PASE (total) (r = .285, p = .010; r = .257, p = .021; r = .238, p = .033; r = .283, p = .010; respectively). The results of the study suggest that the YPAS-TR is a valid and reliable measurement tool that can be used to assess the physical activity patterns of Turkish older adults.

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  • Ayvat, E., Kilinc, M., & Kirdi, N. (2017). The Turkish version of the Physical Activity Scale for the Older adults (PASE): Its cultural adaptation, validation, and reliability. Turkish Journal of Medical Sciences, 47(3), 908–915. https://doi.org/10.3906/sag-1605-7

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Beaton, D.E., Bombardier, C., Guillemin, F., & Ferraz, M.B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Bonett, D.G. (2002). Sample size requirements for estimating intraclass correlations with desired precision. Statistics in Medicine, 21(9), 1331–1335. https://doi.org/10.1002/sim.1108

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Bujang, M.A., & Baharum, N. (2017). A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review. Archives of Orofacial Science, 12(1), 1–11.

    • Search Google Scholar
    • Export Citation

  • Chen, K.Y., Smith, S., Ravussin, E., Krakoff, J., Plasqui, G., Tanaka, S., … Melanson, E.L. (2020). Room Indirect Calorimetry Operating and Reporting Standards (RICORS 1.0): A guide to conducting and reporting human whole‐room calorimeter studies. Obesity, 28(9), 1613–1625. https://doi.org/10.1002/oby.22928

    • Crossref
    • Search Google Scholar
    • Export Citation

  • De Abajo, S., Larriba, R., & Marquez, S. (2001). Validity and reliability of the Yale physical activity survey in Spanish older adults. Journal of Sports Medicine and Physical Fitness, 41(4), 479–485.

    • Search Google Scholar
    • Export Citation

  • De Oliveira, L.D.S.S.C.B., Souza, E.C., Rodrigues, R.A.S., Fett, C.A., & Piva, A.B. (2019). The effects of physical activity on anxiety, depression, and quality of life in older adults people living in the community. Trends in Psychiatry and Psychotherapy, 41(1), 36–42. https://doi.org/10.1590/2237-6089-2017-0129

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Dipietro, L., Caspersen, C.J., Ostfeld, A.M., & Nadel, E.R. (1993). A survey for assessing physical activity among older adults. Medicine and Science in Sports and Exercise, 25(5), 628–642.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Faul, F., Erdfelder, E., Lang, A.G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Fisher, S., Ottenbacher, K.J., Goodwin, J.S., Graham, J.E., & Ostir, G.V. (2009). Short physical performance battery in hospitalized older adults. Aging Clinical and Experimental Research, 21(6), 445–452. https://doi.org/10.1007/BF03327444

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Forsén, L., Loland, N.W., Vuillemin, A., Chinapaw, M.J., van Poppel, M.N., Mokkink, L.B., … Terwee, C.B. (2010). Self-administered physical activity questionnaires for the older adults. Sports Medicine, 40(7), 601–623. https://doi.org/10.2165/11531350-000000000-00000

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Hair, J.J., Anderson, R., Tatham, R.X., & Black, W.C. (1995). Multivariate data analvsis. Prentice-Hall.

  • Helmerhorst, H.H.J., Brage, S., Warren, J., Besson, H., & Ekelund, U. (2012). A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. International Journal of Behavioral Nutrition and Physical Activity, 9(1), 1–55. https://doi.org/10.1186/1479-5868-9-103

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Kline, P. (1979). Psychometrics and psychology. Academic Press Inc.

  • Kocyigit, H. (1999). Reliability and validity of the Turkish version of short form-36 (SF-36): A study in a group of patients will rheumatic diseases. Turkish Journal of Internal Medicine, 12, 102–106.

    • Search Google Scholar
    • Export Citation

  • Król-Zielińska, M., & Ciekot, M. (2015). Assessing physical activity in the older adults: A comparative study of most popular questionnaires. Trends in Sport Sciences, 3(22), 133–144.

    • Search Google Scholar
    • Export Citation

  • Król-Zielińska, M., Zieliński, J., Kantanista, A., Szeklicki, R., Osiński, W., & Ciekot-Sołtysiak, M. (2019). Polish adaptation of the Yale physical activity survey: Measurement properties. International Journal of Environmental Research and Public Health, 16(13), 2401. https://doi.org/10.3390/ijerph16132401

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Machado, M., Tavares, C., Moniz-Pereira, V., André, H., Ramalho, F., Veloso, A., & Carnide, F. (2016). Validation of YPAS-PT—The Yale physical activity survey for Portuguese older people. Science Journal of Public Health, 4(1), 72–80. https://doi.org/10.11648/j.sjph.20160401.20

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Matsuo, T., So, R., & Takahashi, M. (2020). Workers’ physical activity data contribute to estimating maximal oxygen consumption: A questionnaire study to concurrently assess workers’ sedentary behavior and cardiorespiratory fitness. BMC Public Health, 20(1), 1–10. https://doi.org/10.1186/s12889-019-8067-4

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Norman, G.R., Streiner, D.L. (2008). Biostatistics: The bare essentials (3rd ed., pp. 70–320). BC Decker Inc.

  • Sato, H., Nakamura, H., Nishida, Y., Shirahata, T., Yogi, S., Akagami, T., … Katsukawa, F. (2021). Energy expenditure and physical activity in COPD by doubly labelled water method and an accelerometer. ERJ Open Research, 7(2), 1–11.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Schober, P., Boer, C., & Schwarte, L.A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Schuler, P.B., Richardson, M.T., Ochoa, P., & Wang, M.Q. (2001). Accuracy and repeatability of the Yale physical activity survey in assessing physical activity of older adults. Perceptual and Motor Skills, 93(1), 163–177. https://doi.org/10.2466/pms.2001.93.1.163

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Strath, S.J., Kaminsky, L.A., Ainsworth, B.E., Ekelund, U., Freedson, P.S., Gary, R.A., … Swartz, A.M. (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

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Ware, J.E., Jr., & Sherbourne, C.D. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 30(6), 473–483. https://doi.org/10.1097/00005650-199206000-00002

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Washburn, R.A., Smith, K.W., Jette, A.M., & Janney, C.A. (1993). The Physical Activity Scale for the Older adults (PASE): Development and evaluation. Journal of Clinical Epidemiology, 46(2), 153–162. https://doi.org/10.1016/0895-4356(93)90053-4

    • Crossref
    • Search Google Scholar
    • Export Citation

  • World Health Organization. (2010). Global recommendations on physical activity for health. WHO Press.

  • World Health Organization. (2022a). Physical activity. https://www.who.int/news-room/fact-sheets/detail/physical-activity

  • World Health Organization. (2022b). Physical activity. https://www.who.int/health-topics/physical-activity#tab=tab_1

  • World Health Organization. (2022c). Physical activity. https://www.who.int/health-topics/physical-activity#tab=tab_2

  • Yazıcı, G., Volkan Y.M., Özkul, Ç., Varol, F., & Bayraktar, D. (2021). Reliability and validity of the Turkish Version of Baecke habitual physical activity questionnaire in healthy adults. Turkiye Klinikleri Journal of Health Sciences, 6(3), 476–482. https://doi.org/10.5336/healthsci.2020-76783

    • Crossref
    • Search Google Scholar
    • Export Citation
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