Background: The trans-contextual model (TCM) is an integrated model of motivation that aims to explain the processes by which agentic support for autonomous motivation in physical education promotes autonomous motivation and physical activity in a leisure-time context. It is proposed that perceived support for autonomous motivation in physical education is related to autonomous motivation in physical education and leisure-time contexts. Furthermore, relations between autonomous motivation and the immediate antecedents of intentions to engage in physical activity behaviour and actual behaviour are hypothesized.
Aims: The purpose of the present study was to incorporate the constructs of basic psychological need satisfaction in the TCM to provide a more comprehensive explanation of motivation and demonstrate the robustness of the findings of previous tests of the model that have not incorporated these constructs.
Sample: Students (N=274) from Greek secondary schools.
Method: Participants completed self-report measures of perceived autonomy support, autonomous motivation, and basic psychological need satisfaction in physical education. Follow-up measures of these variables were taken in a leisure-time context along with measures of attitudes, subjective norms, perceived behavioural control (PBC), and intentions from the theory of planned behaviour 1 week later. Self-reported physical activity behaviour was measured 4 weeks later.
Results: Results supported TCM hypotheses. Basic psychological need satisfaction variables uniquely predicted autonomous motivation in physical education and leisure time as well as the antecedents of intention, namely, attitudes, and PBC. The basic psychological need satisfaction variables also mediated the effects of perceived autonomy support on autonomous motivation in physical education.
Conclusions: Findings support the TCM and provide further information of the mechanisms in the model and integrated theories of motivation in physical education and leisure time.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1348/000709910X487023 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring motivation, goals, facilitators, and barriers to adopt health behaviors at retirement age: a focus group study.
BMC Public Health
January 2025
Department of Psychology, Comillas Pontifical University, Comillas, 3-5, Madrid, 28049, Spain.
Background: This study qualitatively investigates retirement-age adults' perspectives on engaging in health behaviors such as physical activity or a healthy diet, distinguishing facilitators, barriers, goals, and motivations (the two later in line with Self-Determination Theory).
Methods: Two clinical psychologists conducted four focus groups with Spanish adults around retirement age. We conducted inductive and deductive content analysis.
Multi-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child-Robot Interactions.
Biomimetics (Basel)
January 2025
School of Engineering and Physical Sciences, Lincoln Centre for Autonomous Systems, College of Health and Science, University of Lincoln, Lincoln LN6 7TS, UK.
With the increasing application of robots in human-centred environments, there is increasing motivation for incorporating some degree of human-like social competences. Fields such as psychology and cognitive science not only provide guidance on the types of behaviour that could and should be exhibited by the robots, they may also indicate the manner in which these behaviours can be achieved. The domain of social child-robot interaction (sCRI) provides a number of challenges and opportunities in this regard; the application to an educational context allows child-learning outcomes to be characterised as a result of robot social behaviours.
View Article and Find Full Text PDFSelf-Management Behaviours in Rheumatoid Arthritis Patients: What Role Do Health Beliefs Play?
Int J Nurs Pract
February 2025
School of Nursing, Peking University, Beijing, People's Republic of China.
Purpose: Self-management is the intrinsically controlled ability of an active, responsible, informed and autonomous individual to live with the medical, role and emotional consequences of his chronic conditions in partnership with his social network and the healthcare providers. This study evaluated the self-management behaviours of patients with rheumatoid arthritis and assess the association between health beliefs and self-management behaviours.
Methods: This cross-sectional study investigated 269 rheumatoid arthritis patients' self-management behaviours using the Self-Care Behaviours Scale with a score of 0-4 for each item and a total score of 0-100 points, and health beliefs using the Arthritis Health Belief Inventory with a score of 1-5 for each item and a total score of 0-165 points.
Development of an eHealth Intervention Including Self-Management for Reducing Sedentary Time in the Transition to Retirement: Participatory Design Study.
JMIR Form Res
January 2025
Division of Psychology, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.
Background: Having a great amount of sedentary time is common among older adults and increases with age. There is a strong need for tools to reduce sedentary time and promote adherence to reduced sedentary time, for which eHealth interventions have the potential to be useful. Interventions for reducing sedentary time in older adults have been found to be more effective when elements of self-management are included.
View Article and Find Full Text PDFExplainable machine learning framework for cataracts recognition using visual features.
Vis Comput Ind Biomed Art
January 2025
Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
Cataract is the leading ocular disease of blindness and visual impairment globally. Deep neural networks (DNNs) have achieved promising cataracts recognition performance based on anterior segment optical coherence tomography (AS-OCT) images; however, they have poor explanations, limiting their clinical applications. In contrast, visual features extracted from original AS-OCT images and their transform forms (e.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!