心肌梗死后心脏康复结构和过程与饮食习惯的关系:一项全国性的登记研究。

Emma Hag, Maria Bäck, Peter Henriksson, John Wallert, Claes Held, Andreas Stomby, Margret Leosdottir
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引用次数: 0

摘要

目的:改善饮食习惯对于心肌梗死(MI)后二级预防的成功至关重要,健康饮食习惯的咨询和支持是心脏康复(CR)的基石。然而,关于如何优化CR组织以激励患者采用健康饮食习惯的知识有限。我们的目的是探讨心肌梗死后1年CR计划结构、过程和自我报告的饮食习惯之间的关系。方法和结果:采用正交偏最小二乘判别分析方法分析来自瑞典73个CR中心的组织数据和来自5248例CR患者的患者水平数据,以确定健康饮食习惯的预测因素。投影(VIP)值超过0.80的重要变量被认为是有意义的。关键预测因素包括:CR中心有一名医疗主任[VIP(95%可信区间)][1.86(1.1-2.62)],自我报告的团队精神高[1.63(1.29-1.97)],护士接受过咨询方法的正式培训[1.20(0.75-1.65)],提供出院风险因素信息[2.23(1.82-2.64)]和生活方式[1.81(1.31-2.31)],随访期间与患者互动的时间[1.60 (0.80-2.40)],以及旨在患者在整个随访期间由同一名护士护理的中心[1.54(1.17-1.91)]。通过多变量回归分析,研究中心报告的阳性预测指标越多,患者饮食习惯的进一步改善就越明显[每增加一个阳性预测指标的比值比为1.03 (1.02-1.05),P < 0.001]。结论:与CR结构和过程相关的几个变量被确定为报告更健康饮食习惯的患者的预测因子。这些发现为CR中心的资源分配和优化CR出席的患者利益提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations between cardiac rehabilitation structure and processes and dietary habits after myocardial infarction: a nationwide registry study.

Aims: Improved dietary habits are important for successful secondary prevention after myocardial infarction (MI), with counselling and support on healthy dietary habits constituting a cornerstone of cardiac rehabilitation (CR). However, there is limited knowledge on how to optimize CR organization to motivate patients to adopt healthy dietary habits. We aimed to explore associations between CR programme structure, processes, and self-reported dietary habits 1 year post-MI.

Methods and results: Organizational data from 73 Swedish CR centres and patient-level data from 5248 CR patients were analysed using orthogonal partial least squares discriminant analysis to identify predictors for healthy dietary habits. Variables of importance for the projection (VIP) values exceeding 0.80 were considered meaningful. Key predictors included the CR centre having a medical director [VIP (95% confidence interval)] [1.86 (1.1-2.62)], high self-reported team spirit [1.63 (1.29-1.97)], nurses have formal training in counselling methods [1.20 (0.75-1.65)], providing discharge information on risk factors [2.23 (1.82-2.64)] and lifestyle [1.81 (1.31-2.31)], time dedicated to patient interaction during follow-up [1.60 (0.80-2.40)], and centres aiming for patients to have the same nurse throughout follow-up [1.54 (1.17-1.91)]. The more positive predictors a CR centre reported to follow, the further improvement in patient-level dietary habits, were analysed by multivariable regression analysis [odds ratio for each additional positive predictor reported 1.03 (1.02-1.05), P < 0.001].

Conclusion: Several variables related to CR structure and processes were identified as predictors for patients reporting healthier dietary habits. These findings offer guidance for CR centres in resource allocation and optimizing patient benefits of CR attendance.

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