Naturalistic Monitoring of the Affect-Heart Rate Relationship: A Day Reconstruction Study
Naturalistic Monitoring of the Affect-Heart Rate Relationship: A Day Reconstruction Study
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DOI：
10.1037/a0017626
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发表时间：
2010-03-01
影响因子：
4.2
通讯作者：
MacLachlan, Malcolm
中科院分区：
文献类型：
--
作者：
Daly, Michael;Delaney, Liam;MacLachlan, Malcolm
目的：前瞻性研究已经将负面情绪与高血压、心血管疾病和死亡率联系起来。本研究旨在确定日常环境中的心血管活动是否与使用日重建方法评估的情感水平相关（Kahneman，Krueger，Schkade，施瓦茨和Stone，2004）。设计：186人接受了基线生理测试，并进行了一整天的自然监测。多水平模型是使用的主要分析。主要结局指标：我们利用一个在线的一天重建调查，以产生一个连续的帐户的影响，社会交往，和活动模式在清醒的时间。在同一时期评估动态心率（HR）。对人格、健康行为、消费、自我报告的活动和基线生理特征进行评估，以分离情感与HR之间的关系。结果：负面情感预测动态HR升高，疲劳预测HR降低。考虑到基线生理因素、健康行为和个性后，负面情感与心血管反应性增加之间的关联仍然存在。结论：日常生活中的负面情绪是HR的可靠预测因子。将日间重建与心理生理和环境监测相结合是一种具有跨学科相关性的微创方法。
Objective: Prospective studies have linked negative affect with hypertension, cardiovascular disease, and mortality. This study aims to identify if cardiovascular activity in day-to-day settings is related to affect levels as assessed using the Day Reconstruction Method (Kahneman, Krueger, Schkade, Schwarz, & Stone, 2004). Design: 186 people underwent baseline physiological testing and were monitored naturalistically for an entire day. Multilevel models were the principal analyses used. Main Outcome Measures: We utilized an online day reconstruction survey to produce a continuous account of affect, social interactions, and activity patterns during waking hours. Ambulatory heart rate (HR) was assessed during the same period. Personality, health behavior, consumption, self-reported activity, and baseline physiological characteristics were assessed to isolate the relationships between affect and HR. Results: Negative affect predicted an elevated ambulatory HR and tiredness predicted a lower HR. Associations between negative affectivity and increased cardiovascular reactivity were maintained after taking account of baseline physiological factors, health behavior, and personality. Conclusion: Negative affect in everyday life is a reliable predictor of HR. Combining day reconstruction with psychophysiological and environmental monitoring is a minimally invasive method with promising interdisciplinary relevance.