| Literature DB >> 35162504 |
Navin Kaushal1, Donya Nemati1, Raphaëlle Gauthier-Bisaillon2, Marie Payer2,3, Béatrice Bérubé2,3, Martin Juneau2,4, Louis Bherer2,4,5.
Abstract
Background. Adherence to cardiac rehabilitation remains a challenge despite established evidence that engaging in regular exercise is a strong preventive measure to experiencing a second cardiac event. A recent study found a six-month cardiac rehabilitation program to be effective for facilitating regular exercise behavior among patients diagnosed with acute coronary syndrome. The purpose of this study was to conduct a phenomenological investigation using Colaizzi's descriptive technique to understand mechanisms responsible for behavior change. Methods. Data were collected and analyzed among patients with acute coronary syndrome at a cardiac rehabilitation using semi-structured interviews that were conducted over the phone across three months. Conclusion. Thematic analysis of 15 semi-structured interviews resulted in 124 statements that were analyzed. The data yielded seven themes that included "motivation to follow prescribed exercise program", "volitional decision", "capability of performing exercise", "connectedness to peers", "planning", "habit formation", and "adopting healthy behaviors beyond exercise". The emerged themes align with construct definitions of the self-determination theory, which include the three psychological needs (autonomy, competence, and relatedness), in addition to autonomous motivation, which represents internally driven reasons to participate in exercise. Planning and habit formation themes support contemporary research that identifies these constructs responsible for behavioral maintenance. While these themes help explain exercise participation, the final theme, adopting healthy behaviors beyond exercise, reflects the impact of the program on having a change towards a healthier lifestyle. The findings highlight the complexity of exercise behavior, and that long-term participation is likely explained by amalgamating the self-determination theory.Entities:
Keywords: autonomous; cardiac rehabilitation; exercise; motivation; phenomenology; physical activity; qualitative; self-determination; theory
Mesh:
Year: 2022 PMID: 35162504 PMCID: PMC8834758 DOI: 10.3390/ijerph19031482
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Application of qualitative techniques for rigor/trustworthiness by McGannon et al., (2019) [39].
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| The statements were independently coded by two different reviewers. Any discrepancies in coding were discussed until mutual agreement was achieved |
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| Member checking was performed by reviewing the transcribed statements with each participant |
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| Potential for bias interviewing was prevented by having a data coder who was a trained qualitative researcher but from a different discipline. Bias was also prevented by ensuring that the PI did not conduct the interview or code the data |
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| The aim of the study was to gather data of patients’ experience of exercising regularly. The methodological approach, phenomenology, is congruent with this aim as the approach does not attempt to explore hypotheses or causalities, but only attempts to understand [ |
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| An outsider (DN), who was not involved in prior stages of the study, reviewed if the results were theoretically sound |
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| N.K. served as the critical friend for the data collected by R.G., M.P., and B.B. |
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| All individuals involved in participation interaction (M.P., B.B., and R.G.) provided an introduction of themselves along with their research backgrounds to the participants |
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| The study is a pilot investigation, and so these interviews will support the design of a larger scale study |
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| Two forms of data were collected from the participants, which included written data (planning sheets) and semi-structured interviews. Some data overlap of these two methods was expected, which helped in triangulating the findings. |
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| All the raw participant data, including the coding, and their interpretation are available |
Themes and subthemes from the data analysis.
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