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Your search keyword '"Vandelanotte, Corneel"' showing total 15 results
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15 results on '"Vandelanotte, Corneel"'

3. Identifying opportunity, capability and motivation of Sri Lankan 5th grade schoolteachers to implement in-classroom physical activity breaks: A qualitative study.

Author

Peiris, D. L. I. H. K., Duan, Yanping, Vandelanotte, Corneel, Liang, Wei, and Baker, Julien Steven

Subjects
PHYSICAL activity, TEACHERS, A-level examinations, SEDENTARY behavior, MEDICAL masks, TEACHER training, MOTIVATION (Psychology)
Abstract

Background: Classroom-based physical activity interventions have demonstrated positive effects in reducing sedentary behaviour among school children. However, this is an understudied area, especially in low- and middle-income countries such as Sri Lanka. This study aims to explore teachers' opportunity, capability and motivation relating to the implementation of an in-classroom physical activity breaks programme. Methods: Twenty-seven teachers were recruited through snowball sampling and participated in semi-structured telephone interviews from early-January to the mid-June 2022. The Capability, Opportunity, and Motivation Behaviour (COM-B) model was used to guide and deductively thematic analyse the interviews. Results: 21 out of the recruited teachers responded to the full study. The mean age of respondents was 39.24 years old ranging from 27 years to 53 years. Teaching experience of the respondents ranged from three to 37 years, and 57% were female. Three teachers had a degree with a teacher training diploma, while others were having General Certificate of Education in Advanced Level with a teacher training diploma as the highest education qualification. Capability factors such as age, dress code, mask wearing, knowledge, skills and workload of the teachers were identified as important factors in implementing a physical activity breaks intervention in a Sri Lankan classroom setting. Classroom space, facilities, student backgrounds and safety were identified as opportunity factors. Obtaining policy level decisions to implement the activity breaks and managing the time of the activities to reduce time lost in education time were identified as motivational factors. Conclusion: During the intervention development phase, implementation facilitators and barriers must be considered carefully. Behaviour change techniques can be utilised to address the identified COM-B factors to ensure a good implementation of the intervention. [ABSTRACT FROM AUTHOR]

Published
2023
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9. Associations between quality of life and duration and frequency of physical activity and sedentary behaviour: Baseline findings from the WALK 2.0 randomised controlled trial

Author

Kolt, Gregory S., primary, George, Emma S., additional, Rebar, Amanda L., additional, Duncan, Mitch J., additional, Vandelanotte, Corneel, additional, Caperchione, Cristina M., additional, Maeder, Anthony J., additional, Tague, Rhys, additional, Savage, Trevor N., additional, Van Itallie, Anetta, additional, Mawella, Nadeesha R., additional, Hsu, Wei-Wen, additional, Mummery, W. Kerry, additional, and Rosenkranz, Richard R., additional

Published
2017
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15. Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults

Author

Tim Olds, Ronald C. Plotnikoff, Corneel Vandelanotte, Carol Maher, Rachel G. Curtis, Sarah Edney, Jillian Ryan, Ryan, Jillian, Curtis, Rachel, Olds, Tim, Edney, Sarah, Vandelanotte, Corneel, Plotnikoff, Ronald, and Maher, Carol

Subjects
Male, Emotions, Social Sciences, 050109 social psychology, Anxiety, Correlation, wellbeing, 0302 clinical medicine, Mathematical and Statistical Techniques, Quality of life, Medicine and Health Sciences, Psychology, Public Health Surveillance, Public and Occupational Health, 030212 general & internal medicine, Registries, Multidisciplinary, Depression, Mental Disorders, 05 social sciences, Statistics, Middle Aged, Confirmatory factor analysis, PERMA Profiler, Mental Health, Physical Sciences, Engineering and Technology, Medicine, Female, medicine.symptom, Factor Analysis, Clinical psychology, Research Article, Adult, Adolescent, Psychometrics, Science, Psychological Stress, Research and Analysis Methods, 03 medical and health sciences, Young Adult, Cronbach's alpha, Mental Health and Psychiatry, medicine, Humans, 0501 psychology and cognitive sciences, Statistical Methods, Aged, Australian adults, DASS, Mood Disorders, Discriminant validity, Australia, Biology and Life Sciences, Physical Activity, Mental health, Quality of Life, Electronics, Accelerometers, Mathematics
Abstract

IntroductionThis study evaluated the psychometric properties of the PERMA Profiler, a 15-item self-report measurement tool designed to measure Seligman's five pillars of wellbeing: Positive emotions, Relationships, Engagement, Meaning, and Accomplishment.MethodsAustralian adults (N = 439) completed the PERMA Profiler and measures of physical and mental health (SF-12), depression, anxiety, stress (DASS 21), subjective physical activity (Active Australia Survey), and objective activity and sleep (GENEActiv accelerometer). Internal consistency was examined using Cronbach's alpha and associations between theoretically related constructs examined using Pearson's correlation. Model fit in comparison with theorised models was examined via Confirmatory Factor Analysis.ResultsResults indicated acceptable internal consistency for overall PERMA Profiler scores and all subscales (α range = 0.80-0.93) except Engagement (α = 0.66). Moderate associations were found between PERMA Profiler wellbeing scores with subjective constructs (e.g. depression, anxiety, stress; r = -0.374 - -0.645, p = ConclusionsFindings were mixed, providing strong support for the scale's internal consistency and moderate support for congervent and divergent validity, albeit not in comparison to objectively captured activity outcomes. We could not replicate the theorised data structure nor an alternative, single factor structure. Results indicate insufficient psychometric properties of the PERMA Profiler.

Published
2019

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