Francesco Zanatta, Carmen Tabernero, Patrizia Steca, Rosario Castillo-Mayén, Esther Cuadrado, Barbara Luque
{"title":"冠心病患者体育锻炼和生活质量的预测:动机和情绪因素的 18 个月路径分析。","authors":"Francesco Zanatta, Carmen Tabernero, Patrizia Steca, Rosario Castillo-Mayén, Esther Cuadrado, Barbara Luque","doi":"10.1037/hea0001348","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Investigating factors that promote cardiovascular health outcomes is essential for secondary prevention. In a sample of coronary heart disease patients, we examined the direct and indirect effects of selected psychological factors on physical activity behavior and health-related quality of life (HRQoL) over 18 months.</p><p><strong>Method: </strong>Patient-reported data were collected over three time points. Through structured equation modeling, a longitudinal path analysis was conducted to estimate the indirect effects of baseline HRQoL and cardiac self-efficacy on reported physical activity behavior and HRQoL (evaluated at 18 months) through the mediation of anxiety and depression symptoms, patients' reported intention to change the behavior, and emotions regulation strategies (evaluated at 9 months).</p><p><strong>Results: </strong>A total of 410 patients were included. Significant indirect effects of baseline HRQoL (β = .05, 95% CI [-0.001, 0.111]) and cardiac self-efficacy (β = .105, 95% CI [0.06, 0.16]) on physical activity behavior were found, with anxiety symptoms and emotions regulation strategies as significant mediators. Additionally, the mediation of reported intention in the association between cardiac self-efficacy and physical activity levels was estimated. At the final follow-up, we also found a significant direct association between physical activity behavior and HRQoL (β = .12, <i>p</i> < .01), which was indirectly impacted by baseline HRQoL (β = .006, 95% CI [0.000, 0.017]) and cardiac self-efficacy (β = .012, 95% CI [0.003, 0.027]).</p><p><strong>Conclusions: </strong>This study underlines the significance of addressing stress management, anxiety symptoms reduction, and cardiac self-efficacy enhancement when targeting better cardiovascular health outcomes. Identifying cardiovascular risk profiles based on these findings may benefit future clinical practice and further inform secondary prevention policy guidelines. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting physical activity and quality of life in coronary heart disease patients: An 18-month path analysis of motivational and emotional factors.\",\"authors\":\"Francesco Zanatta, Carmen Tabernero, Patrizia Steca, Rosario Castillo-Mayén, Esther Cuadrado, Barbara Luque\",\"doi\":\"10.1037/hea0001348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Investigating factors that promote cardiovascular health outcomes is essential for secondary prevention. In a sample of coronary heart disease patients, we examined the direct and indirect effects of selected psychological factors on physical activity behavior and health-related quality of life (HRQoL) over 18 months.</p><p><strong>Method: </strong>Patient-reported data were collected over three time points. Through structured equation modeling, a longitudinal path analysis was conducted to estimate the indirect effects of baseline HRQoL and cardiac self-efficacy on reported physical activity behavior and HRQoL (evaluated at 18 months) through the mediation of anxiety and depression symptoms, patients' reported intention to change the behavior, and emotions regulation strategies (evaluated at 9 months).</p><p><strong>Results: </strong>A total of 410 patients were included. Significant indirect effects of baseline HRQoL (β = .05, 95% CI [-0.001, 0.111]) and cardiac self-efficacy (β = .105, 95% CI [0.06, 0.16]) on physical activity behavior were found, with anxiety symptoms and emotions regulation strategies as significant mediators. Additionally, the mediation of reported intention in the association between cardiac self-efficacy and physical activity levels was estimated. At the final follow-up, we also found a significant direct association between physical activity behavior and HRQoL (β = .12, <i>p</i> < .01), which was indirectly impacted by baseline HRQoL (β = .006, 95% CI [0.000, 0.017]) and cardiac self-efficacy (β = .012, 95% CI [0.003, 0.027]).</p><p><strong>Conclusions: </strong>This study underlines the significance of addressing stress management, anxiety symptoms reduction, and cardiac self-efficacy enhancement when targeting better cardiovascular health outcomes. Identifying cardiovascular risk profiles based on these findings may benefit future clinical practice and further inform secondary prevention policy guidelines. 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引用次数: 0
摘要
目的研究促进心血管健康的因素对二级预防至关重要。在冠心病患者样本中,我们研究了选定心理因素对 18 个月内体育锻炼行为和健康相关生活质量(HRQoL)的直接和间接影响:方法:收集了三个时间点的患者报告数据。通过结构方程模型,进行纵向路径分析,估计基线 HRQoL 和心脏自我效能对所报告的体育锻炼行为和 HRQoL(18 个月时评估)的间接影响,这些影响通过焦虑和抑郁症状、患者所报告的改变行为的意愿和情绪调节策略(9 个月时评估)的中介作用而产生:结果:共纳入 410 名患者。基线 HRQoL(β = .05,95% CI [-0.001,0.111])和心脏自我效能(β = .105,95% CI [0.06,0.16])对体育锻炼行为有显著的间接影响,焦虑症状和情绪调节策略是显著的中介因素。此外,我们还估计了报告意向在心脏自我效能感与体育锻炼水平之间的中介作用。在最后的随访中,我们还发现体育锻炼行为与 HRQoL(β = .12,p < .01)之间存在显著的直接关联,而基线 HRQoL(β = .006,95% CI [0.000,0.017])和心脏自我效能(β = .012,95% CI [0.003,0.027])对其有间接影响:本研究强调,在改善心血管健康状况时,解决压力管理、减少焦虑症状和提高心脏自我效能具有重要意义。根据这些研究结果确定心血管风险特征可能会有利于未来的临床实践,并进一步为二级预防政策指南提供参考。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
Predicting physical activity and quality of life in coronary heart disease patients: An 18-month path analysis of motivational and emotional factors.
Objective: Investigating factors that promote cardiovascular health outcomes is essential for secondary prevention. In a sample of coronary heart disease patients, we examined the direct and indirect effects of selected psychological factors on physical activity behavior and health-related quality of life (HRQoL) over 18 months.
Method: Patient-reported data were collected over three time points. Through structured equation modeling, a longitudinal path analysis was conducted to estimate the indirect effects of baseline HRQoL and cardiac self-efficacy on reported physical activity behavior and HRQoL (evaluated at 18 months) through the mediation of anxiety and depression symptoms, patients' reported intention to change the behavior, and emotions regulation strategies (evaluated at 9 months).
Results: A total of 410 patients were included. Significant indirect effects of baseline HRQoL (β = .05, 95% CI [-0.001, 0.111]) and cardiac self-efficacy (β = .105, 95% CI [0.06, 0.16]) on physical activity behavior were found, with anxiety symptoms and emotions regulation strategies as significant mediators. Additionally, the mediation of reported intention in the association between cardiac self-efficacy and physical activity levels was estimated. At the final follow-up, we also found a significant direct association between physical activity behavior and HRQoL (β = .12, p < .01), which was indirectly impacted by baseline HRQoL (β = .006, 95% CI [0.000, 0.017]) and cardiac self-efficacy (β = .012, 95% CI [0.003, 0.027]).
Conclusions: This study underlines the significance of addressing stress management, anxiety symptoms reduction, and cardiac self-efficacy enhancement when targeting better cardiovascular health outcomes. Identifying cardiovascular risk profiles based on these findings may benefit future clinical practice and further inform secondary prevention policy guidelines. (PsycInfo Database Record (c) 2024 APA, all rights reserved).