A common-sense model–based nursing intervention improves exercise compliance in coronary heart disease: a randomized controlled trial and a pilot study
Year: 2025
Type: article
Study design: Clinical Trial
Abstract: Aims: This study explored the effects of a Common-sense model of self-regulation-based nursing intervention on enhancing cardiac exercise rehabilitation compliance in coronary heart disease patients, aiming to improve cardiac function and overall health outcomes. Design: This study was a two-arm, parallel prospective randomized controlled trial. Methods: Participants were recruited from February to August 2024 at 3 Hospitals in Changsha, Hunan, China. Participants in the intervention group received a nursing intervention based on a Common-sense model of self-regulation and routine health education, while those in the control group received routine health education only. The outcome variables included exercise compliance, level of exercise fear, brief illness perception, emotional regulation self-efficacy level, blood pressure, body mass index, six-minute walking test. Statistical methods used to analyze the data include t-test, non-parametric rank sum test. Results: = 39) showed statistically significant improvements in the outcomes of exercise compliance, level of exercise fear, level of brief illness perception, level of emotion regulation self-efficacy, blood pressure, body mass index, six-minute walk test. Conclusion: A Common-sense model-based cardiac exercise rehabilitation compliance intervention effectively improves health outcomes in coronary heart disease patients and can be integrated into nursing practice to enhance clinical care. Clinical Trial Registration: identifier ChiCTR2400084280.
Authors: Jin Wang, Ying Zhou, Wanxu Huang, Huan Yin, Xiaofang Zhu, Zhenshuai Yao, Bo Dong, Pingping He
Institutions: Hunan Normal University, Hunan Provincial People's Hospital
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Awards: G5464550069, G6855422409
OpenAlex ID: W4413255366
