International Journal of Cardiology Cardiovascular Risk and Prevention最新文献_第7页

Machine learning and Mendelian randomization identify key lifestyle factors in coronary heart disease: A NHANES-Based study 机器学习和孟德尔随机化确定冠心病的关键生活方式因素：一项基于nhanes的研究

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-10-26 DOI: 10.1016/j.ijcrp.2025.200536

Yang yang Cui , Yonghong Zhang , Lang Zeng , Shikang Li , Xue Mei , Xiangmei Yang , Peng Zhou , Lijuan Xiong , Yijuan Huang , Jing Luo , Fenglin Wu , Rongchuan Yue

Objective

This study aims to bridge the gap between predictive modeling and causal inference by utilizing lifestyle data from the National Health and Nutrition Examination Survey (NHANES) database to compare the predictive performance of multiple machine learning models for coronary heart disease (CHD). By incorporating Mendelian randomization, the study seeks to validate and identify the lifestyle variables with both predictive power and causal impact on CHD.

Methods

We extracted variables related to demographic characteristics and lifestyle from the NHANES database (2013–2018; n = 29,400). Recursive feature elimination (RFE) was employed to rank variable importance and determine the optimal feature subset. Subsequently, eight machine learning models-including Support Vector Machine (SVM), Neural Network (NN), Naive Bayes (NB), Extreme Gradient Boosting (XGBoost), Multilayer Perceptron (MLP), Generalized Linear Model (GLM), Adaptive Boosting (AdaBoost), and Decision Tree (DT)-were developed for CHD prediction. Model performance was evaluated using metrics such as accuracy, precision, sensitivity, specificity, recall, F1-score, and the Receiver Operating Characteristic (ROC) curve, with variable contributions visualized using Shapley Additive Explanations (SHAP). Additionally, Mendelian randomization (MR) was applied to distinguish associative from causal relationships, validating top predictors via Genome-Wide Association Study (GWAS)-derived genetic instruments.

Results

RFE identified age, sex, fasting blood glucose, body mass index (BMI), total cholesterol (TC) intake, sleep duration, diastolic blood pressure, and smoking as the most significant predictors of CHD. Among the models, SVM outperformed DT, AdaBoost, XGBoost, NN, MLP, NB, and GLM. The SVM model achieved the highest performance with an accuracy of 83.4 % and an AUC value of 0.909, demonstrating clinically actionable predictive power. MR confirmed causal associations for five variables: BMI (OR: 1.01, P < 0.001), TC (OR: 1.01, P < 0.001), insomnia (OR: 1.03, P < 0.001), diastolic blood pressure (OR: 1.20, P < 0.001), and smoking (OR: 1.03, P < 0.001), while fasting glucose showed null causality (P > 0.05).

Conclusion

The SVM machine learning model, based on NHANES data, enables faster and more efficient prediction of CHD. The study identified age, sex, BMI, TC intake, sleep duration, diastolic blood pressure, and smoking as the lifestyle variables with the greatest impact on CHD. This dual approach advances precision prevention by combining predictive accuracy with genetic evidence.

目的利用美国国家健康与营养调查（NHANES）数据库中的生活方式数据，比较多种机器学习模型对冠心病（CHD）的预测性能，弥合预测模型与因果推理之间的差距。通过结合孟德尔随机化，该研究试图验证和确定生活方式变量对冠心病的预测能力和因果影响。方法从NHANES数据库（2013-2018;n = 29,400）中提取与人口统计学特征和生活方式相关的变量。采用递归特征消去（RFE）对变量重要性进行排序，确定最优特征子集。随后，开发了8种机器学习模型，包括支持向量机（SVM）、神经网络（NN）、朴素贝叶斯（NB）、极端梯度增强（XGBoost）、多层感知器（MLP）、广义线性模型（GLM）、自适应增强（AdaBoost）和决策树（DT），用于预测CHD。使用准确度、精密度、灵敏度、特异性、召回率、f1评分和受试者工作特征（ROC）曲线等指标评估模型的性能，并使用Shapley加性解释（SHAP）将变量贡献可视化。此外，孟德尔随机化（MR）应用于区分关联关系和因果关系，通过全基因组关联研究（GWAS）衍生的遗传工具验证了顶级预测因子。结果rfe发现年龄、性别、空腹血糖、体重指数（BMI）、总胆固醇（TC）摄入量、睡眠时间、舒张压和吸烟是冠心病最重要的预测因素。其中SVM优于DT、AdaBoost、XGBoost、NN、MLP、NB和GLM。SVM模型的准确率为83.4%，AUC值为0.909，表现出临床可操作的预测能力。MR证实了五个变量的因果关系：BMI （OR: 1.01, P < 0.001）、TC （OR: 1.01, P < 0.001）、失眠（OR: 1.03, P < 0.001）、舒张压（OR: 1.20, P < 0.001）和吸烟（OR: 1.03, P < 0.001），而空腹血糖显示无因果关系（P < 0.05）。结论基于NHANES数据的SVM机器学习模型能够更快、更有效地预测冠心病。研究发现，年龄、性别、体重指数、TC摄入量、睡眠时间、舒张压和吸烟是对冠心病影响最大的生活方式变量。这种双重方法通过结合预测准确性和遗传证据来推进精确预防。

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引用次数: 0

Can we better prevent cardiovascular disease? 'Stayin' healthy to stay alive' 我们能更好地预防心血管疾病吗？“保持健康才能活下去”

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-11-25 DOI: 10.1016/j.ijcrp.2025.200553

Duncan J. Campbell

Cardiovascular disease (CVD) is a major contributor to premature morbidity and mortality. We have the tools to prevent CVD, but they are not being applied as effectively as they might. Key contributors to sub-optimal CVD risk factor control are the community's lack of awareness of CVD risk and individuals' lack of awareness of their own CVD risk and 'optimal' targets for risk factors. Additional contributors to sub-optimal CVD risk factor control include failure to treat, lack of adherence with therapy, and failure to achieve therapeutic targets. The Australian SunSmart program for preventing skin cancer by reducing sun exposure provides a potential template for a community-based education program, with support from nurses, pharmacists and allied health, that educates and empowers children and all members of the community to improve CVD risk management by increasing awareness and treatment of CVD risk, improving adherence with risk factor control strategies, and improving success in achievement of target outcomes for risk factors, thereby achieving life-long CVD risk factor control and CVD prevention.

心血管疾病（CVD）是过早发病和死亡的主要原因。我们有预防心血管疾病的工具，但它们并没有得到应有的有效应用。导致心血管疾病风险因素控制不理想的关键因素是社区缺乏对心血管疾病风险的认识，个人缺乏对自身心血管疾病风险和风险因素的“最佳”目标的认识。导致心血管疾病风险因素控制不理想的其他因素包括治疗失败、缺乏治疗依从性和未能达到治疗目标。通过减少阳光照射预防皮肤癌的澳大利亚SunSmart项目为社区教育项目提供了一个潜在的模板，在护士、药剂师和联合健康机构的支持下，通过提高对心血管疾病风险的认识和治疗，提高对风险因素控制策略的依从性，提高对风险因素目标结果的成功实现，教育和授权儿童和社区所有成员改善心血管疾病风险管理。从而实现终身CVD危险因素控制和CVD预防。

引用次数: 0

Promoting life's essential 8 to advance global adolescent cardiovascular health 促进生命对促进全球青少年心血管健康至关重要

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-09-01 DOI: 10.1016/j.ijcrp.2025.200507

Jason M. Nagata , Nathan D. Nguyen , Christiane K. Helmer , Jennifer H. Wong , Abubakr A.A. Al-shoaibi , Holly C. Gooding

引用次数: 0

Influencing factors of public willingness to implement cardiopulmonary resuscitation: A mixed-methods systematic review 公众实施心肺复苏意愿的影响因素：一项混合方法的系统评价

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-09-24 DOI: 10.1016/j.ijcrp.2025.200519

Yajie Wang , Fangqiu Zheng , Jingju Xia , Limin Zheng , Dantong Wang , Haili Wang , Bo Ma

Background

Bystander cardiopulmonary resuscitation is a key element in the chain of survival for out-of-hospital cardiac arrest, enhancing patient survival rates. However, bystander cardiopulmonary resuscitation rates remain low.

Aim

(s)To systematically evaluate the factors influencing bystander cardiopulmonary resuscitation and provide a foundation for developing training programs and guiding future research.

Methods

The systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta--Analyses (PRISMA) guidelines and was registered with PROSPERO.

Data sources

A comprehensive search of 4 databases (the Cochrane Library, PubMed, Web of Science, and Embase) were searched between the database's creation and November 13, 2024.

Results

A total of 11,730 studies were initially retrieved, with 28 ultimately included in the analysis. Among these, 4 were qualitative studies, and 24 were quantitative studies. Data integration was performed using Nvivo14 software.

Conclusion

The findings demonstrated that cardiopulmonary resuscitation (CPR) knowledge, abilities, training experience, rescue objects, and rescue techniques all had an impact on the public's willingness to perform CPR. Ethics teaching will be included in the training content, and future courses will use female simulators. Second, to address the issue of a lack of CPR knowledge, CPR instruction can be included in the curriculum of schools in nations such as China which have a poor rate of CPR training development. To increase the public's rate of mastery of CPR-related knowledge, the training frequency should be increased concurrently. And it is suggested that the state create relevant legislation to safeguard rescuers. Finally, designing specialized evaluation instruments.

背景：旁观者心肺复苏是院外心脏骤停生存链中的关键因素，可以提高患者的存活率。然而，旁观者心肺复苏率仍然很低。目的系统评价影响旁观者心肺复苏的因素，为制定培训方案和指导今后的研究提供依据。方法系统评价遵循系统评价和Meta分析首选报告项目（PRISMA）指南，并在PROSPERO注册。数据来源从数据库创建到2024年11月13日，对4个数据库（Cochrane Library、PubMed、Web of Science和Embase）进行了全面搜索。结果最初共检索到11730项研究，其中28项最终纳入分析。其中定性研究4项，定量研究24项。使用Nvivo14软件进行数据整合。结论心肺复苏知识、能力、培训经验、抢救对象、抢救技术对公众实施心肺复苏的意愿均有影响。培训内容将包括伦理教学，未来的课程将使用女性模拟器。其次，为了解决心肺复苏知识缺乏的问题，在心肺复苏培训发展速度较慢的国家，如中国，可以将心肺复苏教学纳入学校课程。为了提高公众对心肺复苏相关知识的掌握程度，应同时增加培训频率。建议国家制定相关立法保障救援人员的安全。最后，设计专门的评估工具。

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引用次数: 0

Diagnostic performance of left ventricular strain for predicting physiologically significant coronary artery disease 左心室应变对预测具有生理意义的冠状动脉疾病的诊断价值

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-09-04 DOI: 10.1016/j.ijcrp.2025.200503

Pratya Rawangban , Anusith Tunhasiriwet , Rawish Wimolwattanaphan , Chanwit Wuttichaipradit , Piyoros Lertsanguansinchai

Background

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide. While invasive coronary angiography is the gold standard for diagnosing obstructive CAD, contemporary guidelines advocate for initial evaluation using resting transthoracic echocardiography. The role of left ventricular global longitudinal strain (LV GLS) as a screening tool in the diagnosis of obstructive CAD remains unclear.

Objective

To evaluate the diagnostic utility of LV GLS in predicting physiologically significant CAD as confirmed by intracoronary physiological tests such as fractional flow reserve (FFR) and/or non-hyperemic pressure ratios (NHPRs).

Methods

We conducted a retrospective cohort study at the Cardiac Center, Chulabhorn Hospital, Thailand, enrolling patients with suspected CAD who underwent coronary angiography with FFR and/or NHPRs between August 2018 and September 2024. Resting echocardiograms were reevaluated for LV GLS. Receiver operating characteristic (ROC) analysis was performed to assess the predictive value of LV GLS for physiologically significant CAD. A multivariate model incorporating LV GLS patterns and clinical parameters was also developed.

Results

Of the 207 patients analyzed, 99 (47 %) had positive physiological test results (FFR ≤0.80 and/or NHPR ≤0.89). The average LV GLS was lower in the physiologically positive group (−15.6 %) compared to the negative group (−16.8 %), though this difference was not statistically significant. ROC analysis of average LV GLS yielded an area under the curve (AUC) of 0.56 (95 % CI: 0.48–0.64, p = 0.130). However, the ischemic Bull's-eye pattern derived from LV GLS demonstrated high sensitivity (93 %) and negative predictive value (87 %). Multivariate analysis identified central aortic pulse pressure (OR 1.02, 95 % CI = 1.00–1.04, p = 0.042) and the ischemic Bull's-eye pattern (OR 16.33, 95 % CI = 5.16–51.72, p < 0.001) as independent predictors of physiologically significant CAD. The combined model achieved an AUC of 0.76, outperforming both the average LV GLS alone and 2024 ESC clinical risk factor-based likelihood.

Conclusions

While the average LV GLS is not a robust predictor of physiologically significant CAD, the ischemic Bull's-eye pattern derived from LV GLS offers high sensitivity and negative predictive value. When combined with central aortic pulse pressure, this approach enhances the diagnostic accuracy for physiologically significant CAD. These findings support the integration of ischemic Bull's-eye patterns derived from LV GLS and central aortic pulse pressure into initial CAD screening protocols.

背景冠状动脉疾病（CAD）仍然是世界范围内发病率和死亡率的主要原因。虽然侵入性冠状动脉造影是诊断阻塞性CAD的金标准，但当代指南主张使用静息经胸超声心动图进行初步评估。左心室整体纵向应变（LV GLS）作为一种筛查工具在阻塞性CAD诊断中的作用尚不清楚。目的评价经冠状动脉内血流储备分数（FFR）和/或非充血压比（NHPRs）等生理指标证实的左室GLS在预测具有生理意义的冠心病中的诊断价值。方法：我们在泰国朱拉蓬医院心脏中心进行了一项回顾性队列研究，纳入了2018年8月至2024年9月期间接受FFR和/或nhpr冠状动脉造影的疑似CAD患者。静息超声心动图重新评估左室GLS。采用受试者工作特征（ROC）分析来评估左室GLS对具有生理意义的CAD的预测价值。还建立了一个包含左室GLS模式和临床参数的多变量模型。结果分析的207例患者中，生理试验阳性99例（47%）（FFR≤0.80和/或NHPR≤0.89）。生理阳性组的平均LV GLS（- 15.6%）低于阴性组（- 16.8%），但差异无统计学意义。平均LV GLS的ROC分析显示曲线下面积（AUC）为0.56 （95% CI: 0.48-0.64, p = 0.130）。然而，由左室GLS得出的缺血性牛眼模式显示出高灵敏度（93%）和阴性预测值（87%）。多因素分析发现，中央主动脉脉压（OR 1.02, 95% CI = 1.00-1.04, p = 0.042）和缺血性靶心型（OR 16.33, 95% CI = 5.16-51.72, p < 0.001）是具有生理意义的CAD的独立预测因子。联合模型的AUC为0.76，优于单独的平均LV GLS和基于2024 ESC临床风险因素的可能性。结论：虽然平均左室GLS不能准确预测生理上显著的CAD，但由左室GLS得出的缺血性牛眼模式具有高敏感性和阴性预测值。当结合中央主动脉脉压时，该方法提高了对生理上重要的CAD的诊断准确性。这些发现支持将左室GLS和中央主动脉脉压得出的缺血性牛眼模式整合到初始CAD筛查方案中。

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引用次数: 0

Aortic dissection mortality in the United States, 1968–2023: Trends, disparities, and deep learning forecasts 1968-2023年美国主动脉夹层死亡率：趋势、差异和深度学习预测

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-11-14 DOI: 10.1016/j.ijcrp.2025.200547

Abdalhakim Shubietah , Mohamed S. Elgendy , Abubakar Nazir , Ahmed Ahmed , Ameer Awashra , Mustafa Alkhawam , Sarah Saife , Hamza A. Abdul-Hafez , Mohamed Saad Rakab , Mohammed AbuBaha , Mohammed Tareq Mutar , Ahmed Emara

Background

The population-level burden and inequities of aortic dissection (AD) mortality in the United States remain incompletely defined, and contemporary, data-driven forecasts are scarce.

Methods

Using the CDC WONDER Death database (1968–2023), AD deaths were identified by ICD codes (ICD-8/9: 441.0; ICD-10: I71.0). Age-adjusted mortality rates (AAMRs) per 100,000 were stratified by sex, race, age, and Census region. Temporal trends were assessed using Joinpoint regression to estimate annual percent change (APC) and average APC (AAPC). Forecasts through 2033 employed a Bi-GRU model.

Results

We analyzed 175,930 AD-related deaths. Overall, the national AAMR declined by 43 % across 1968–2023 (AAPC −1.10 %, 95 % CI −1.19 to −1.00) but showed a recent upturn (APC +2.00 %, 95 % CI 1.53–2.57). Mortality remained higher in men than women and in Black than White individuals, increased steeply with age, and varied geographically. Bi-GRU forecasts project a modest national decline in AAMR from 1.62 to 1.47 by 2033, with persistent sex (men 1.91 vs women 1.12) and racial (Black 2.32 vs White 1.35) gaps; a slight increase is confined to the South (1.62 → 1.64), while rates in adults ≥85 years improve (10.26 → 9.70).

Conclusions

While U.S. AD mortality has nearly halved over five decades, recent increases and persistent demographic and regional disparities highlight uneven progress. Forecasts to 2033 suggest modest overall declines with persistent sex and racial gaps; targeted hypertension control and regional access to high-volume aortic centers remain priorities.

背景：在美国，人口水平的主动脉夹层（AD）死亡率负担和不公平仍然不完全确定，当代数据驱动的预测很少。方法使用CDC WONDER Death数据库（1968-2023），采用ICD编码（ICD-8/9: 441.0; ICD-10: I71.0）对AD死亡病例进行识别。每10万人的年龄调整死亡率（AAMRs）按性别、种族、年龄和普查地区分层。利用Joinpoint回归估计年变化百分比（APC）和平均APC （AAPC）来评估时间趋势。到2033年的预测采用Bi-GRU模型。结果我们分析了175930例ad相关死亡病例。总体而言，1968-2023年间，全国AAMR下降了43% (AAPC为- 1.10%，95% CI为- 1.19至- 1.00)，但最近有所回升（APC为+2.00 %，95% CI为1.53-2.57）。男性的死亡率高于女性，黑人的死亡率高于白人，随着年龄的增长而急剧上升，并且在地理上有所不同。Bi-GRU预测，到2033年，AAMR将在全国范围内小幅下降，从1.62降至1.47，持续存在性别差距（男性1.91对女性1.12）和种族差距（黑人2.32对白人1.35）；南方地区发病率略有上升（1.62→1.64），而85岁以上成人发病率有所上升（10.26→9.70）。结论：虽然美国AD死亡率在过去50年里下降了近一半，但最近的增长和持续的人口和地区差异凸显了进展的不平衡。到2033年的预测显示，总体下降幅度不大，性别和种族差距仍将持续；有针对性的高血压控制和区域大容量主动脉中心仍然是优先考虑的问题。

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引用次数: 0

Residual hypertriglyceridemia in cardiac rehabilitation: Methodological constraints and implications for generalizability 心脏康复中的残余高甘油三酯血症：方法学限制和推广意义

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-09-20 DOI: 10.1016/j.ijcrp.2025.200520

Amisha Kumari , Reena Kumari , Muddassir Khalid , Fred Segawa

引用次数: 0

Beyond Life's Essential 8: optimizing cardiovascular health metrics to predict mortality 超越生命的要素8：优化心血管健康指标以预测死亡率

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-10-02 DOI: 10.1016/j.ijcrp.2025.200523

Yang Peng

Background

Cardiovascular health (CVH), as assessed by the American Heart Association's Life's Essential 8 (LE8), is strongly associated with mortality risk. However, whether rescoring or weighting individual CVH components improves mortality prediction remains unclear.

Methods

Using data from the 2005–2018 National Health and Nutrition Examination Survey, we examined the associations between CVH categories and risks of all-cause and cardiovascular disease (CVD) mortality. We compared three CVH scoring approaches: the original LE8 model, a rescored model with recalibrated eight metrics, and a weighted model assigning relative importance to each metric. Cox proportional hazards models adjusted for confounders estimated hazard ratios. Model performance was evaluated by C-statistic and net reclassification improvement.

Results

Among 32,076 US adults followed for a median of 7.5 years, higher CVH was consistently associated with lower all-cause and CVD mortality risks across all models. Compared to individuals with low CVH, individuals with high CVH had 58 %–78 % lower all-cause mortality risk and 64 %–87 % lower CVD mortality. For CVD mortality, the rescored model improved risk reclassification, while the weighted model improved discrimination. Compared to the original model, both rescored and weighted models are with modest improvements in all-cause mortality prediction. Weighting revealed substantial variation in the contribution of individual CVH components to mortality risk.

Conclusions

Higher CVH is strongly protective against mortality. Refining LE8 scoring through rescoring and weighting can enhance mortality risk discrimination and reclassification, supporting improved CVH assessment for targeted prevention.

根据美国心脏协会生命基本8项指标（LE8）的评估，心血管健康（CVH）与死亡风险密切相关。然而，重新评分或加权个别CVH成分是否能改善死亡率预测仍不清楚。方法利用2005-2018年全国健康与营养调查数据，研究CVH类别与全因和心血管疾病（CVD）死亡率风险之间的关系。我们比较了三种CVH评分方法：原始的LE8模型，重新校准八个指标的重建模型，以及为每个指标分配相对重要性的加权模型。校正混杂因素后的Cox比例风险模型估计了风险比。通过c统计量和净重分类改进来评价模型的性能。结果在32076名美国成年人中，随访时间中位数为7.5年，在所有模型中，较高的CVH始终与较低的全因和CVD死亡率风险相关。与低CVH个体相比，高CVH个体的全因死亡风险降低58% - 78%，CVD死亡率降低64% - 87%。对于心血管疾病死亡率，重建模型改进了风险再分类，而加权模型改进了区分。与原始模型相比，恢复模型和加权模型在全因死亡率预测方面都有适度的改进。加权揭示了个体CVH成分对死亡风险的贡献存在实质性差异。结论较高的CVH对死亡率有较强的保护作用。通过评分和加权来完善LE8评分可以加强死亡风险的区分和重新分类，支持改进CVH评估以进行有针对性的预防。

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引用次数: 0

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-10-30 DOI: 10.1016/j.ijcrp.2025.200538

Alissa Septelia Saksen Sulaiman , Joanne Ryan , Alice J. Owen , Andrew Tonkin , Anne M. Murray , Zhen Zhou , Robyn L. Woods , Aung Zaw Zaw Phyo

Background

This study examined the associations between music-related leisure activities (listening to music or playing a musical instrument) and incident cardiovascular disease (CVD) events, changes in systolic and diastolic blood pressure (SBP, DBP) and heart rate (HR) among community-dwelling Australians aged ≥70 years. Whether these associations varied by gender and age was also explored.

Methods

Longitudinal data from individuals enrolled in the ASPREE-XT study were analyzed. Participants had no prior CVD events or known life-limiting health conditions at baseline. Cox proportional-hazard regression and linear mixed models were used.

Results

Among 10,591 participants followed for a median of 5.5 years, 780 incident CVD events occurred. After adjustment for sociodemographic factors, often listening to music was associated with a 23 % lower risk and always listening to music with an 18 % lower risk of incident CVD events. These associations attenuated after further adjustment for behaviors and clinical measures. Playing a musical instrument was not associated with incident CVD events. Findings did not differ by gender or age group (p-interaction>0.05). No associations were found between music-related activities and changes in SBP, DBP and HR. However, always listening to music was associated with an increase in HR per year among women (adjusted-beta, 0.13). Among people aged ≥74 years, often/always playing musical instruments was associated with an increase in SBP (adjusted-beta, 0.44) and DBP (adjusted-beta, 0.17) per year.

Conclusion

Our preliminary findings provide little evidence of a link between listening to music and a reduced CVD risk, other than that through associated behavioral factors.

本研究调查了年龄≥70岁的澳大利亚社区居民中与音乐相关的休闲活动（听音乐或演奏乐器）与心血管疾病（CVD）事件、收缩压和舒张压（SBP， DBP）和心率（HR）的变化之间的关系。研究还探讨了这些关联是否因性别和年龄而异。方法对参加ASPREE-XT研究的个体的纵向数据进行分析。参与者在基线时没有心血管疾病事件或已知的限制生命的健康状况。采用Cox比例风险回归和线性混合模型。结果在10,591名参与者中，中位随访时间为5.5年，发生了780起心血管疾病事件。在对社会人口因素进行调整后，经常听音乐与心血管事件发生风险降低23%相关，总是听音乐与心血管事件发生风险降低18%相关。在进一步调整行为和临床措施后，这些关联减弱。演奏乐器与心血管疾病事件无关。结果没有因性别或年龄组而异（p-interaction>0.05）。音乐相关活动与收缩压、舒张压和心率变化之间没有关联。然而，在女性中，经常听音乐与每年的人力资源增加有关（调整贝塔系数，0.13）。在年龄≥74岁的人群中，经常/总是演奏乐器与每年收缩压（调整β值，0.44）和舒张压（调整β值，0.17）的增加有关。结论：我们的初步研究结果表明，除了相关的行为因素外，几乎没有证据表明听音乐与降低心血管疾病风险之间存在联系。

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引用次数: 0

Correspondence: Sustainable effects of a hybrid self-care education program on diet quality and cardiovascular risk in patients with chronic conditions: A randomized controlled trial 通信：混合自我保健教育计划对慢性疾病患者饮食质量和心血管风险的持续影响：一项随机对照试验

IF 2.1 Q3 PERIPHERAL VASCULAR DISEASE

International Journal of Cardiology Cardiovascular Risk and Prevention

Pub Date : 2025-12-01 Epub Date: 2025-11-20 DOI: 10.1016/j.ijcrp.2025.200551

Neha Sharma

引用次数: 0