IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i18p3387-d266868.html
   My bibliography  Save this article

Leisure Participation Behavior and Psychological Well-Being of Elderly Adults: An Empirical Study of Tai Chi Chuan in China

Author

Listed:
  • Jing Li

    (Program in Management, Dayeh University, Changhua 51591, Taiwan
    College of Music and Movie, Tianjin Normal University, Tianjin 300387, China)

  • Chia-Chien Hsu

    (Department of Tourism, Shih Hsin University, Taipei 116, Taiwan)

  • Ching-Torng Lin

    (Department of Information Management, Dayeh University, Changhua 51591, Taiwan)

Abstract

Theoretical explanation concerning the psychological well-being of elderly adults as they participate in a particular leisure activity has been rare. Based on the theory of planned behavior and the technology acceptance model, this study sought to understand the Tai Chi Chuan (TCC) participation influence factors, process, and psychological well-being of Chinese people. A self-developed questionnaire was developed to test the hypotheses of this study. Applying structural equation models, a survey of 769 TCC participations were used to test the theoretical model. The results indicated that perceived usefulness significantly and positively affect respondent attitude, family members’ influences significantly and positively affect participants’ subjective norm, and resource facilitating conditions significantly and positively affect perceived behavioral control. Perceived behavioral control, attitude, and subjective norm significantly and positively affect TCC participants. The study lends support to the notion that leisure activity participation is vital for elderly adults and their well-being, and it develops a theoretical reference model for better understanding the leisure participation perceptual reasoning processes of elderly adults. Furthermore, the results offer important implications for health policy makers, clinical prevention, and interventions using participation behavior relationships to develop well-constructed leisure programs to attract and inspire participation and, hence, improve the psychological well-being of elderly adults.

Suggested Citation

  • Jing Li & Chia-Chien Hsu & Ching-Torng Lin, 2019. "Leisure Participation Behavior and Psychological Well-Being of Elderly Adults: An Empirical Study of Tai Chi Chuan in China," IJERPH, MDPI, vol. 16(18), pages 1-19, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3387-:d:266868
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/18/3387/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/18/3387/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Neda Agahi & Kozma Ahacic & Marti G. Parker, 2006. "Continuity of Leisure Participation From Middle Age to Old Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(6), pages 340-346.
    3. Hanna Weimann & Jonas Björk & Carita Håkansson, 2019. "Experiences of the Urban Green Local Environment as a Factor for Well-Being among Adults: An Exploratory Qualitative Study in Southern Sweden," IJERPH, MDPI, vol. 16(14), pages 1-14, July.
    4. Cunningham, George B. & Kwon, Hyungil, 2003. "The Theory of Planned Behaviour and Intentions to Attend a Sport Event," Sport Management Review, Elsevier, vol. 6(2), pages 127-145, November.
    5. Han, Heesup & Hsu, Li-Tzang (Jane) & Sheu, Chwen, 2010. "Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities," Tourism Management, Elsevier, vol. 31(3), pages 325-334.
    6. Han, Heesup, 2015. "Travelers' pro-environmental behavior in a green lodging context: Converging value-belief-norm theory and the theory of planned behavior," Tourism Management, Elsevier, vol. 47(C), pages 164-177.
    7. George B. Cunningham & Hyungil Kwon, 2003. "The Theory of Planned Behaviour and Intentions to Attend a Sport Event," Sport Management Review, Taylor & Francis Journals, vol. 6(2), pages 127-145, July.
    8. Maria Vozikaki & Manolis Linardakis & Katerina Micheli & Anastas Philalithis, 2017. "Activity Participation and Well-Being Among European Adults Aged 65 years and Older," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 769-795, March.
    9. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    10. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    11. Po-Wen Ku & Kenneth R. Fox & Li-Jung Chen, 2016. "Leisure-Time Physical Activity, Sedentary Behaviors and Subjective Well-Being in Older Adults: An Eight-Year Longitudinal Research," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1349-1361, July.
    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. Yuanzheng Lin & Bin Zhao & Xiujie Ma, 2022. "The Influence of Guozhuang Dance on the Subjective Well-Being of Older Adults: The Chain Mediating Effect of Group Identity and Self-Efficacy," IJERPH, MDPI, vol. 19(21), pages 1-15, November.
    2. Homoud Mohammed Nawi Alanazi, 2024. "The role of leisure activities in enhancing well-being in Saudi’s retired community: a mixed methods study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    3. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    4. Monika Boguszewicz-Kreft & Sylwia Kuczamer-Kłopotowska & Arkadiusz Kozłowski & Ali Ayci & Mohammd Abuhashesh, 2020. "The Theory of Planned Behaviour in Medical Tourism: International Comparison in the Young Consumer Segment," IJERPH, MDPI, vol. 17(5), pages 1-17, March.

    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. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    2. Song, Jaeki & Kim, Junghwan & Cho, Kwangmin, 2018. "Understanding users’ continuance intentions to use smart-connected sports products," Sport Management Review, Elsevier, vol. 21(5), pages 477-490.
    3. Saeed Pahlevan Sharif & Paolo Mura, 2019. "Narratives on Facebook: the impact of user-generated content on visiting attitudes, visiting intention and perceptions of destination risk," Information Technology & Tourism, Springer, vol. 21(2), pages 139-163, June.
    4. Ruey-Chyn Tsaur & Yi-Hsuan Lin, 2018. "Exploring the Consumer Attitude of Building-Attached Photovoltaic Equipment Using Revised Technology Acceptance Model," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    5. Xu, Zeshui & Ge, Zijing & Wang, Xinxin & Skare, Marinko, 2021. "Bibliometric analysis of technology adoption literature published from 1997 to 2020," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. Pei Ling Sung & Teng Yuan Hsiao & Leo Huang & Alastair M. Morrison, 2021. "The influence of green trust on travel agency intentions to promote low‐carbon tours for the purpose of sustainable development," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(4), pages 1185-1199, July.
    7. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    8. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    9. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    10. Han, Heesup & Hyun, Sunghyup Sean, 2018. "What influences water conservation and towel reuse practices of hotel guests?," Tourism Management, Elsevier, vol. 64(C), pages 87-97.
    11. Winitra Leelapattana & Shih-Yun Hsu & Weerapon Thongma & Chun Chen & Fu-Mei Chiang, 2019. "Understanding the Impact of Environmental Education on Tourists’ Future Visit Intentions to Leisure Farms in Mountain Regions," Sustainability, MDPI, vol. 11(6), pages 1-13, March.
    12. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    13. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    14. Bireswar Dutta & Hsin-Ginn Hwang, 2021. "Consumers Purchase Intentions of Green Electric Vehicles: The Influence of Consumers Technological and Environmental Considerations," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
    15. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    16. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    17. Yiming Shao & Zhugen Wang & Zhiwei Zhou & Haojing Chen & Yuanlong Cui & Zhenghuan Zhou, 2022. "Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    18. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    19. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    20. Scarpi, Daniele & Pizzi, Gabriele & Raggiotto, Francesco & Mason, Michela, 2018. "A qualitative comparative analysis (QCA) of satisfaction toward extreme sporting Events," Australasian marketing journal, Elsevier, vol. 26(4), pages 358-368.

    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:16:y:2019:i:18:p:3387-:d:266868. 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.