IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i24p9364-d461937.html
   My bibliography  Save this article

Development and Evaluation of a Classified and Tailored Community-Based Exercise Program According to the Mobility Level of People with Stroke Using the Knowledge to Action Framework

Author

Listed:
  • Minyoung Lee

    (Department of Healthcare and Public Health Research, National Rehabilitation Research Institute, Seoul 01022, Korea)

  • Seon-Deok Eun

    (Department of Clinical Research for Rehabilitation, National Rehabilitation Research Institute, Seoul 01022, Korea)

  • Tae Hyun Cho

    (Department of Healthcare and Public Health Research, National Rehabilitation Research Institute, Seoul 01022, Korea)

  • Young-Il Shin

    (Department of Prosthetics and Orthotics, Korea National College of Welfare, Pyeongtaek 17738, Korea)

  • Jiyeon Song

    (Seoul Junggu Community Health Center, Seoul 04611, Korea)

  • Seung Hee Ho

    (Department of Healthcare and Public Health Research, National Rehabilitation Research Institute, Seoul 01022, Korea)

Abstract

Attempts to classify the mobility levels of people with stroke (PWS) for a tailored exercise program in community settings have been few. We developed and evaluated a classified and tailored community-based (CTC) exercise program according to the mobility level of PWS. Forty-two PWS were classified into the Supine and Sitting, Sitting and Standing, and Standing and Gait groups, based on a newly developed classification model and participated in a group-based CTC exercise program for 1 h/day twice/week for 10 weeks. The health outcome measures were blood pressure, lipid profile, glucose control, body composition, ventilatory capacity, and physical and psychological function. The rate of agreement on classification results among the physiotherapists was analysed. For all participants, significant improvements were noted in the blood pressure, lipid profile, body composition, ventilatory capacity, and physical and psychological function. The lower mobility groups showed significant improvements in a greater number of health outcomes than the higher mobility group. The physiotherapists’ agreement regarding the classification results was 91.16 ± 5.14%, verifying the model’s possible high relevance to the community. The effective improvement in participant health implied that the CTC exercise program was well tailored to the participants’ mobility levels, particularly the lower mobility groups.

Suggested Citation

  • Minyoung Lee & Seon-Deok Eun & Tae Hyun Cho & Young-Il Shin & Jiyeon Song & Seung Hee Ho, 2020. "Development and Evaluation of a Classified and Tailored Community-Based Exercise Program According to the Mobility Level of People with Stroke Using the Knowledge to Action Framework," IJERPH, MDPI, vol. 17(24), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9364-:d:461937
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/24/9364/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/24/9364/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hardesty, David M. & Bearden, William O., 2004. "The use of expert judges in scale development: Implications for improving face validity of measures of unobservable constructs," Journal of Business Research, Elsevier, vol. 57(2), pages 98-107, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alexandria M. Gain & Leonard V. Coote & André Bonfrer, 2024. "Conceptualising and measuring consumer perceptions of brand wastefulness," Journal of Brand Management, Palgrave Macmillan, vol. 31(6), pages 557-575, November.
    2. Saud S. Alghazi & Amirrudin Kamsin & Mohammed Amin Almaiah & Seng Yue Wong & Liyana Shuib, 2021. "For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    3. Chandra Mahapatra, Subas & Bellamkonda, Raja Shekhar, 2023. "Higher expectations of passengers do really sense: Development and validation a multiple scale-FliQual for air transport service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    4. Rodriguez, Virginie & Sangle-Ferriere, Marion, 2023. "Do supermarkets’ emails have any value for their customers? The effect of emails’ content and interestingness on customers’ attitude and engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    5. Chathurika Sewwandi Kannangara & Rosie Elizabeth Allen & Jerome Francis Carson & Samia Zahraa Noor Khan & Gill Waugh & Kondal Reddy Kandadi, 2020. "Onwards and upwards: The development, piloting and validation of a new measure of academic tenacity- The Bolton Uni-Stride Scale (BUSS)," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-26, July.
    6. Erhan Boğan & Bekir Bora Dedeoğlu, 2020. "Hotel employees' corporate social responsibility perception and organizational citizenship behavior: Perceived external prestige and pride in organization as serial mediators," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2342-2353, September.
    7. Verhagen, Tibert & Meents, Selmar, 2007. "A Framework for Developing Semantic Differentials in IS research: Assessing the Meaning of Electronic Marketplace Quality (EMQ)," Serie Research Memoranda 0016, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    8. Rudkowski, Janice, 2024. "Measuring employee-consumer integrated retailer brand equity," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    9. James J. Zboja & Ronald A. Clark & Diana L. Haytko, 2016. "An offer you can’t refuse: consumer perceptions of sales pressure," Journal of the Academy of Marketing Science, Springer, vol. 44(6), pages 806-821, November.
    10. Massicotte, Steeve & Henri, Jean-François, 2021. "The use of management accounting information by boards of directors to oversee strategy implementation," The British Accounting Review, Elsevier, vol. 53(3).
    11. Sayeed Salih & Samah Abdelsalam & Mosab Hamdan & Ashraf Osman Ibrahim & Anas W. Abulfaraj & Faisal Binzagr & Omayma Husain & Abdallah Elhigazi Abdallah, 2022. "The CSFs from the Perspective of Users in Achieving ERP System Implementation and Post-Implementation Success: A Case of Saudi Arabian Food Industry," Sustainability, MDPI, vol. 14(23), pages 1-24, November.
    12. Yi Xie & Siqing Peng & Daniel P. Hampson, 0. "Brand user imagery clarity (BUIC): conceptualization, measurement, and consequences," Journal of Brand Management, Palgrave Macmillan, vol. 0, pages 1-17.
    13. Fernandes, Semila & Venkatesh, V.G. & Panda, Rajesh & Shi, Yangyan, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    14. Brocato, E. Deanne & Voorhees, Clay M. & Baker, Julie, 2012. "Understanding the Influence of Cues from Other Customers in the Service Experience: A Scale Development and Validation," Journal of Retailing, Elsevier, vol. 88(3), pages 384-398.
    15. Conejo Francisco J. & Young Clifford E. & Wooliscroft Ben & Parthasarathy Madhavan, 2021. "Addressing Construct Intensity in Entrepreneurship: Log-Transformed Guttman Scaling with Need for Achievement as Exemplar," Entrepreneurship Research Journal, De Gruyter, vol. 11(1), pages 1-15, January.
    16. Jeremy S. Wolter & Dora E. Bock & Christopher D. Hopkins & Michael Giebelhausen, 2022. "Not the relationship type? Loyalty propensity as a reason to maintain marketing relationships," Journal of the Academy of Marketing Science, Springer, vol. 50(5), pages 1052-1070, September.
    17. Semila Fernandes & V.G. Venkatesh & Rajesh Panda & Yangyan Shi, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Post-Print hal-04455597, HAL.
    18. Johnson, Jennifer Wiggins & Rapp, Adam, 2010. "A more comprehensive understanding and measure of customer helping behavior," Journal of Business Research, Elsevier, vol. 63(8), pages 787-792, August.
    19. Wang, Tao & Gao, Jie & Jia, Yu & Wang, Cheng Lu, 2022. "The double-edged sword effect of adaptation strategy on performance: The mediation of legitimacy and synergy," Journal of Business Research, Elsevier, vol. 139(C), pages 448-456.
    20. Mohamed Amr Sultan & Tomaž Kramberger & Mahmoud Barakat & Ahmed Hussein Ali, 2023. "Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model," Sustainability, MDPI, vol. 15(17), pages 1-25, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9364-:d:461937. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.