Livitckaia K, Kouidi E, Mavromoustakos Blom P, Maglaveras N, van Gils M, Chouvarda I
Lab of Computing, Medical Informatics & Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Laboratory of Sports Medicine, School of Physical Education and Sports Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Hippokratia. 2019 Jan-Mar;23(1):15-20.
Current approaches to cardiac rehabilitation services tailoring are often based on patient demographics or readiness for behavior change. However, the success of interventions acceptance and improved adherence to recommendations could be much higher when considering and adapting to a patient's lifestyle, such as sleep and stress.
We aimed to analyze the potential associations between patient sleep and stress and daily moderate-intensity activity in patients with cardiovascular disease and to gain experience on the methods to collect and analyze a combination of qualitative and quantitative data.
Patients with cardiovascular disease enrolled for an outpatient cardiac rehabilitation program were assessed at the study baseline regarding sociodemographic, clinical profile, and perceived level of stress. To collect daily physical activity and sleep data, all participants had two-week long diaries. Collected data was analyzed through correlation analysis, linear regression, and one-way ANOVA analysis.
The mean age of the participants (n =11) was 67.3 ± 9.6 years old. The patients were mainly male (82 %), married (91 %), and having at least one comorbid disease (64 %). The results of the analysis revealed that the night sleep duration is associated with moderate-intensity physical activity [F(1,6) =7.417, p =0.034]. Stress was not associated with patients' moderate-intensity daily physical activity.
The outcomes of the study can support the development of e-health and home-based interventions design and strategies to promote adherence to physical activity. Tailoring an intervention to a daily behavioral pattern of a patient, such as sleep, can support the planning of the physical activity in a form to be easier accepted by the patient. This finding emphasizes the need for further investigation of the association with a larger population sample and the use of objective physical activity and sleep-related measure instruments. HIPPOKRATIA 2019, 23(1): 15-20.
目前针对心脏康复服务进行个性化定制的方法通常基于患者的人口统计学特征或行为改变的意愿。然而，在考虑并适应患者的生活方式（如睡眠和压力）时，干预措施的接受度和对建议的依从性可能会更高。
我们旨在分析心血管疾病患者的睡眠、压力与日常中等强度活动之间的潜在关联，并积累收集和分析定性与定量数据组合方法的经验。
纳入门诊心脏康复项目的心血管疾病患者在研究基线时接受社会人口统计学、临床特征和感知压力水平的评估。为收集日常身体活动和睡眠数据，所有参与者记录了为期两周的日记。收集的数据通过相关性分析、线性回归和单因素方差分析进行分析。
参与者（n = 11）的平均年龄为67.3±9.6岁。患者主要为男性（82%）、已婚（91%），且至少患有一种合并症（64%）。分析结果显示，夜间睡眠时间与中等强度身体活动相关[F(1,6)=7.417，p = 0.034]。压力与患者的日常中等强度身体活动无关。
该研究结果可支持电子健康和家庭干预措施的设计及策略开发，以促进对身体活动的依从性。根据患者的日常行为模式（如睡眠）量身定制干预措施，有助于以患者更容易接受的形式规划身体活动。这一发现强调需要对更大规模的人群样本进行关联研究，并使用客观的身体活动和睡眠相关测量工具。《希波克拉底》2019年，23(1): 15 - 20。
