Association between exposure to particulate matter and heart rate variability in vulnerable and susceptible individuals

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Yong Whi Jeong, Hayon Michelle Choi, Youhyun Park, Yongjin Lee, Ji Ye Jung, Dae Ryong Kang
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引用次数: 0

Abstract

Particulate matter (PM) exposure can reduce heart rate variability (HRV), a cardiovascular health marker. This study examines PM1.0 (aerodynamic diameters <1 μm), PM2.5 (≥1 μm and <2.5 μm), and PM10 (≥2.5 μm and <10 μm) effects on HRV in patients with environmental diseases as chronic disease groups and vulnerable populations as control groups. PM levels were measured indoors and outdoors for five days in 97 participants, with 24-h HRV monitoring via wearable devices. PM exposure was assessed by categorizing daily cumulative PM concentrations into higher and lower exposure days, while daily average PM concentrations were used for analysis. Results showed significant negative associations between exposure to single and mixtures of different PM metrics and HRV across all groups, particularly in chronic airway disease and higher air pollution exposed groups. These findings highlight that even lower PM levels may reduce HRV, suggesting a need for stricter standards to protect sensitive individuals.

Abstract Image

易受伤害和易感个体暴露于颗粒物与心率变异性之间的关系
颗粒物(PM)暴露可降低心率变异性(HRV),这是一种心血管健康指标。本研究考察了PM1.0(空气动力学直径<;1 μm)、PM2.5(≥1 μm和<;2.5 μm)和PM10(≥2.5 μm和<;10 μm)对环境疾病患者慢性疾病组和弱势人群HRV的影响。97名参与者在室内和室外连续5天测量PM水平,并通过可穿戴设备监测24小时心率波动。通过将每日累积PM浓度分为较高和较低暴露天数来评估PM暴露,而每日平均PM浓度用于分析。结果显示,在所有人群中,暴露于单一和混合不同PM指标和HRV之间存在显著的负相关,特别是在慢性气道疾病和较高空气污染暴露人群中。这些发现强调,即使PM水平较低也可能降低HRV,这表明需要制定更严格的标准来保护敏感个体。
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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