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城市环境对压力、自主神经反应性和昼夜节律的影响:一项关于心理健康与睡眠的动态研究方案

Urban environment influences on stress, autonomic reactivity and circadian rhythm: protocol for an ambulatory study of mental health and sleep.

作者信息

Montanari Andrea, Wang Limin, Birenboim Amit, Chaix Basile

机构信息

Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Sorbonne Universités, Paris, France.

Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.

出版信息

Front Public Health. 2024 Feb 5;12:1175109. doi: 10.3389/fpubh.2024.1175109. eCollection 2024.

DOI:10.3389/fpubh.2024.1175109
PMID:38375340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10875008/
Abstract

INTRODUCTION

Converging evidence suggests that urban living is associated with an increased likelihood of developing mental health and sleep problems. Although these aspects have been investigated in separate streams of research, stress, autonomic reactivity and circadian misalignment can be hypothesized to play a prominent role in the causal pathways underlining the complex relationship between the urban environment and these two health dimensions. This study aims at quantifying the momentary impact of environmental stressors on increased autonomic reactivity and circadian rhythm, and thereby on mood and anxiety symptoms and sleep quality in the context of everyday urban living.

METHOD

The present article reports the protocol for a feasibility study that aims at assessing the daily environmental and mobility exposures of 40 participants from the urban area of Jerusalem over 7 days. Every participant will carry a set of wearable sensors while being tracked through space and time with GPS receivers. Skin conductance and heart rate variability will be tracked to monitor participants' stress responses and autonomic reactivity, whereas electroencephalographic signal will be used for sleep quality tracking. Light exposure, actigraphy and skin temperature will be used for ambulatory circadian monitoring. Geographically explicit ecological momentary assessment (GEMA) will be used to assess participants' perception of the environment, mood and anxiety symptoms, sleep quality and vitality. For each outcome variable (sleep quality and mental health), hierarchical mixed models including random effects at the individual level will be used. In a separate analysis, to control for potential unobserved individual-level confounders, a fixed effect at the individual level will be specified for case-crossover analyses (comparing each participant to oneself).

CONCLUSION

Recent developments in wearable sensing methods, as employed in our study or with even more advanced methods reviewed in the Discussion, make it possible to gather information on the functioning of neuro-endocrine and circadian systems in a real-world context as a way to investigate the complex interactions between environmental exposures, behavior and health. Our work aims to provide evidence on the health effects of urban stressors and circadian disruptors to inspire potential interventions, municipal policies and urban planning schemes aimed at addressing those factors.

摘要

引言

越来越多的证据表明,城市生活与心理健康和睡眠问题的发生可能性增加有关。尽管这些方面已在不同的研究领域进行了调查,但可以假设压力、自主反应性和昼夜节律失调在城市环境与这两个健康维度之间复杂关系的因果途径中起着重要作用。本研究旨在量化环境应激源对自主反应性增加和昼夜节律的即时影响,从而量化其对日常城市生活背景下的情绪和焦虑症状以及睡眠质量的影响。

方法

本文报告了一项可行性研究的方案,该研究旨在评估耶路撒冷市区40名参与者在7天内的日常环境和出行暴露情况。每位参与者将佩戴一套可穿戴传感器,同时通过GPS接收器进行时空追踪。将追踪皮肤电导率和心率变异性,以监测参与者的应激反应和自主反应性,而脑电图信号将用于睡眠质量追踪。光照暴露、活动记录仪和皮肤温度将用于动态昼夜监测。地理明确的生态瞬时评估(GEMA)将用于评估参与者对环境、情绪和焦虑症状、睡眠质量和活力的感知。对于每个结果变量(睡眠质量和心理健康),将使用包括个体水平随机效应的分层混合模型。在单独的分析中,为了控制潜在的未观察到的个体水平混杂因素,将为病例交叉分析(将每位参与者与自身进行比较)指定个体水平的固定效应。

结论

我们研究中采用的可穿戴传感方法的最新进展,或讨论中回顾的更先进方法,使得在现实世界背景下收集有关神经内分泌和昼夜系统功能的信息成为可能,并以此来研究环境暴露、行为和健康之间的复杂相互作用。我们的工作旨在提供有关城市应激源和昼夜节律干扰因素对健康影响的证据,以激发旨在解决这些因素的潜在干预措施、市政政策和城市规划方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/10875008/5ef65469f60d/fpubh-12-1175109-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/10875008/1a14f5f2b00d/fpubh-12-1175109-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/10875008/5c7d47c80972/fpubh-12-1175109-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/10875008/5ef65469f60d/fpubh-12-1175109-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/10875008/1a14f5f2b00d/fpubh-12-1175109-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/10875008/5c7d47c80972/fpubh-12-1175109-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/10875008/5ef65469f60d/fpubh-12-1175109-g0003.jpg

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