IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i12p7519-d842830.html
   My bibliography  Save this article

The Effects of a Dance and Music-Based Intervention on Parkinson’s Patients’ Well-Being: An Interview Study

Author

Listed:
  • Barbara Colombo

    (Behavioral Neuroscience Lab, Champlain College, Burlington, VT 05401, USA)

  • Alison Rigby

    (Behavioral Neuroscience Lab, Champlain College, Burlington, VT 05401, USA)

  • Martina Gnerre

    (Università Cattolica del Sacro Cuore, 20123 Milano, Italy)

  • Federica Biassoni

    (Università Cattolica del Sacro Cuore, 20123 Milano, Italy)

Abstract

Previous research has shown the positive effects of music and dance-based interventions on the physical and psychosocial symptoms of Parkinson’s disease (PD). The aims of this study were: (1) to investigate how PD patients subjectively perceive the emotional, cognitive, and social benefits of a music- and dance-based intervention; (2) to apply an innovative methodology for an interview analysis combining findings from a linguistic text with an analytic approach and conducted with the software LIWC and from the content analysis performed by human coders. Extensive, open-ended interviews were conducted with 13 patients with PD who had participated in a dance and music program. The interviews were analyzed using both human coders and the computer-based approach. The results show that emotional and social aspects are considered the most frequent perceived benefits of the dance program. The data confirm the positive impact of dance- and music-based programs on promoting participants’ emotional and social well-being. A combined approach to text analysis appears to be a promising way to achieve more in-depth insights into patients’ subjective perceptions.

Suggested Citation

  • Barbara Colombo & Alison Rigby & Martina Gnerre & Federica Biassoni, 2022. "The Effects of a Dance and Music-Based Intervention on Parkinson’s Patients’ Well-Being: An Interview Study," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7519-:d:842830
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/12/7519/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/12/7519/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carl Roberts, 2000. "A Conceptual Framework for Quantitative Text Analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(3), pages 259-274, August.
    2. Lyn M. Van Swol & Paul Hangsan Ahn & Andrew Prahl & Zhenxing Gong, 2021. "Language Use in Group Discourse and Its Relationship to Group Processes," SAGE Open, , vol. 11(1), pages 21582440211, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martina Gnerre & Eleonora Malaspina & Sonia Di Tella & Isabella Anzuino & Francesca Baglio & Maria Caterina Silveri & Federica Biassoni, 2023. "Vocal Emotional Expression in Parkinson’s Disease: Roles of Sex and Emotions," Societies, MDPI, vol. 13(7), pages 1-19, July.

    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. Hoffmann, Christin & Thommes, Kirsten, 2024. "Can leaders motivate employees’ energy-efficient behavior with thoughtful communication?," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    2. Dalibor Stanimirovic & Eva Murko & Tadej Battelino & Urh Groselj & Mojca Zerjav Tansek, 2021. "Towards a Comprehensive Strategy for the Management of Rare Diseases in Slovenia: Outlining an IT-Enabled Ecosystemic Approach," IJERPH, MDPI, vol. 18(23), pages 1-17, November.
    3. Ocelík, Petr & Osička, Jan & Zapletalová, Veronika & Černoch, Filip & Dančák, Břetislav, 2017. "Local opposition and acceptance of a deep geological repository of radioactive waste in the Czech Republic: A frame analysis," Energy Policy, Elsevier, vol. 105(C), pages 458-466.
    4. Filosa Gita Sukmono & Fajar Junaed & Qholiva Yuni Fadilla & Mohammad Jafar Loilatu & Dani Fadillah, 2023. "News about the Sunda Strait Tsunami Disaster: From the Selection of News Sources to the Production Process," Studies in Media and Communication, Redfame publishing, vol. 11(4), pages 10-18, June.
    5. Anton Oleinik, 2011. "Mixing quantitative and qualitative content analysis: triangulation at work," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 859-873, June.
    6. Carla Cruz & Maria João Cunha & Célia Belim, 2024. "Silenced Voices in Portuguese Public TV News: An Intersectional Analysis of the Representation of Women with Disabilities in RTP’s Telejornal," Societies, MDPI, vol. 14(7), pages 1-20, July.
    7. Adriana Bunea & Raimondas Ibenskas, 2015. "Quantitative text analysis and the study of EU lobbying and interest groups," European Union Politics, , vol. 16(3), pages 429-455, September.
    8. Mohammed Jabreel & Assumpció Huertas & Antonio Moreno, 2018. "Semantic analysis and the evolution towards participative branding: Do locals communicate the same destination brand values as DMOs?," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-29, November.
    9. Andrei Kirilenko & Svetlana Stepchenkova & Rebecca Romsdahl & Kristine Mattis, 2012. "Computer-assisted analysis of public discourse: a case study of the precautionary principle in the US and UK press," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 501-522, February.
    10. Kupiec-Teahan, Beata & Leat, Philip M.K. & Revoredo-Giha, Cesar, 2009. "Food production, distribution and culture: public views, interests and concerns," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51061, Agricultural Economics Society.
    11. Animesh Ghosh & Prabha Bhola & Uthayasankar Sivarajah, 2022. "Emerging Associates of the Circular Economy: Analysing Interactions and Trends by a Mixed Methods Systematic Review," Sustainability, MDPI, vol. 14(16), pages 1-41, August.
    12. Michael Scharkow, 2013. "Thematic content analysis using supervised machine learning: An empirical evaluation using German online news," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 761-773, February.
    13. Salaheldin Hamad & Muhammad Umar Draz & Fong-Woon Lai, 2020. "The Impact of Corporate Governance and Sustainability Reporting on Integrated Reporting: A Conceptual Framework," SAGE Open, , vol. 10(2), pages 21582440209, June.
    14. Paul Pennings & Hans Keman, 2002. "Towards a New Methodology of Estimating Party Policy Positions," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(1), pages 55-79, February.
    15. Zoltán Csedő & Máté Zavarkó & Balázs Vaszkun & Sára Koczkás, 2021. "Hydrogen Economy Development Opportunities by Inter-Organizational Digital Knowledge Networks," Sustainability, MDPI, vol. 13(16), pages 1-26, August.
    16. Stefano Sbalchiero & Maria Stella Righettini, 2017. "Rhetorical manifestation of institutional transformation," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1279-1296, May.
    17. York, Qi Yan & Zhang, Hanqin Qiu, 2010. "The determinants of the 1999 and 2007 Chinese Golden Holiday System: A content analysis of official documentation," Tourism Management, Elsevier, vol. 31(6), pages 881-890.
    18. Rodney J. Scott & Robert Y. Cavana & Donald Cameron, 2016. "Mechanisms for Understanding Mental Model Change in Group Model Building," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(1), pages 100-118, January.
    19. Josie Zvelebilova & Saiph Savage & Christoph Riedl, 2024. "Collective Attention in Human-AI Teams," Papers 2407.17489, arXiv.org.
    20. Lacroix, Denis & Laurent, Louis & de Menthière, Nicolas & Schmitt, Bertrand & Béthinger, Audrey & David, Bernard & Didier, Christophe & Parent du Châtelet, Jacques, 2019. "Multiple visions of the future and major environmental scenarios," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 93-102.

    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:19:y:2022:i:12:p:7519-:d:842830. 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.