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Investigating the role of social inhibition in enduring involvement in online synchronous exercise classes: A use and gratification perspective.

ABSTRACT: With the advancement of communication technology, online synchronous exercise courses become more common in recent years due to their ability to transcend time and space. Based on uses and gratifications theory (U&G), this study proposes a conceptual model for online synchronized exercise classes and examines the relationships among social inhibition, motivation, satisfaction, and continued involvement. After 322 valid questionnaires were collected and analyzed by partial least squares (PLS), this study confirmed the significant positive effects of hedonic, identified, and integrative motivation on online synchronous exercise satisfaction and the significant negative effect of social inhibition on online synchronous exercise satisfaction. Moreover, online synchronous exercise satisfaction has a positive effect on enduring involvement. This study not only contributes by extending the application of U&G theory to dynamic online synchronized exercise and addressing the interaction and pressure of online users in cyberspace but also provides novel marketing strategies for fitness and sports organizations.

SUBMITTER: Cheng KH

PROVIDER: S-EPMC11328078 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Investigating the role of social inhibition in enduring involvement in online synchronous exercise classes: A use and gratification perspective.

Cheng Kuo-Hung KH Chiang Chang-Tang CT Cheng Ya-Yun YY Lee Bruce C Y BCY

Heliyon 20240723 15

With the advancement of communication technology, online synchronous exercise courses become more common in recent years due to their ability to transcend time and space. Based on uses and gratifications theory (U&G), this study proposes a conceptual model for online synchronized exercise classes and examines the relationships among social inhibition, motivation, satisfaction, and continued involvement. After 322 valid questionnaires were collected and analyzed by partial least squares (PLS), th ...[more]

PMID: 39157408

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Project description:PurposeThe primary objective was to investigate the feasibility of a synchronous, online-delivered, group-based, supervised, exercise oncology maintenance program supported with health coaching.MethodsParticipants had previously completed a 12-week group-based exercise program. All participants received synchronous online delivered exercise maintenance classes, and half were block randomized to receive additional weekly health coaching calls. A class attendance rate of ≥ 70%, a health coaching completion rate of ≥ 80%, and an assessment completion rate of ≥ 70% were set as markers of feasibility. Additionally, recruitment rate, safety, and fidelity of the classes and health coaching calls were reported. Post-intervention interviews were performed to further understand the quantitative feasibility data. Two waves were conducted - as a result of initial COVID-19 delays, the first wave was 8 weeks long, and the second wave was 12 weeks long, as intended.ResultsForty participants (n8WK = 25; n12WK = 15) enrolled in the study with 19 randomized to the health coaching group and 21 to the exercise only group. The recruitment rate (42.6%), attrition (2.5%), safety (no adverse events), and feasibility were confirmed for health coaching attendance (97%), health coaching fidelity (96.7%), class attendance (91.2%), class fidelity (92.6%), and assessment completion (questionnaire = 98.8%; physical functioning = 97.5%; Garmin wear-time = 83.4%). Interviews highlighted that convenience contributed to participant attendance, while the diminished ability to connect with other participants was voiced as a drawback compared to in-person delivery.ConclusionThe synchronous online delivery and assessment of an exercise oncology maintenance class with health coaching support was feasible for individuals living with and beyond cancer. Providing feasible, safe, and effective exercise online to individuals living with cancer may support increased accessibility. For example, online may provide an accessible alternative for those living in rural/remote locations as well as for those who may be immunocompromised and cannot attend in-person classes. Health coaching may additionally support individuals' behavior change to a healthier lifestyle.Trial registrationThe trial was retrospectively registered (NCT04751305) due to the rapidly evolving COVID-19 situation that precipitated the rapid switch to online programming.

Project description:BackgroundOnline health communities (OHCs) have become a major source of social support for people with health problems. Members of OHCs interact online with similar peers to seek, receive, and provide different types of social support, such as informational support, emotional support, and companionship. As active participations in an OHC are beneficial to both the OHC and its users, it is important to understand factors related to users' participations and predict user churn for user retention efforts.ObjectiveThis study aimed to analyze OHC users' Web-based interactions, reveal which types of social support activities are related to users' participation, and predict whether and when a user will churn from the OHC.MethodsWe collected a large-scale dataset from a popular OHC for cancer survivors. We used text mining techniques to decide what kinds of social support each post contained. We illustrated how we built text classifiers for 5 different social support categories: seeking informational support (SIS), providing informational support (PIS), seeking emotional support (SES), providing emotional support (PES), and companionship (COM). We conducted survival analysis to identify types of social support related to users' continued participation. Using supervised machine learning methods, we developed a predictive model for user churn.ResultsUsers' behaviors to PIS, SES, and COM had hazard ratios significantly lower than 1 (0.948, 0.972, and 0.919, respectively) and were indicative of continued participations in the OHC. The churn prediction model based on social support activities offers accurate predictions on whether and when a user will leave the OHC.ConclusionsDetecting different types of social support activities via text mining contributes to better understanding and prediction of users' participations in an OHC. The outcome of this study can help the management and design of a sustainable OHC via more proactive and effective user retention strategies.

Dataset Information

Investigating the role of social inhibition in enduring involvement in online synchronous exercise classes: A use and gratification perspective.

Publications

Investigating the role of social inhibition in enduring involvement in online synchronous exercise classes: A use and gratification perspective.

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