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超越颗粒物的重要性:通过麦德林的生物科学研究,探讨空气污染对人体和健康的协同影响。

What matters beyond particle matter?: Examining air pollution's synergistic effects on bodies and health through BioScience in Medellin.

机构信息

Universidad de Antioquía, Antioquia, Colombia.

Temple University, Philadelphia, PA, USA.

出版信息

Soc Sci Med. 2024 Nov;361:117331. doi: 10.1016/j.socscimed.2024.117331. Epub 2024 Sep 21.

DOI:10.1016/j.socscimed.2024.117331
PMID:39368407
Abstract

Scientific literature on the health effects of air pollution is diverse, and broadly acknowledges the importance of human experience and social and economic precarity as modifying factors. Still, the inclusion of the embodied experience of air pollution has been limited. Also, the health effects of pollution are often studied at the group or population level, without adequately considering individual difference. This paper uses a BioScience framework, which integrates biology, biography, and biosphere, to explore how air pollution affects residents in Medellín, Colombia. By using qualitative research on individual experiences of air pollution (biography) to probe the intersection of individual health (biology) and environment (biosphere), we illustrate how pollution shapes lived rhythms at multiple scales. Our findings emphasize that air pollution's health impacts extend beyond measurable pollutants to include the complex synergies of smoke, noise, stress, and disruptions to daily life. This comprehensive approach provides a nuanced understanding of how air pollution materially shapes the lives of individuals and communities, advocating for research models that capture the subtle, everyday experiences often overlooked by traditional group or population-level analyses.

摘要

关于空气污染对健康影响的科学文献多种多样,普遍承认人类体验以及社会和经济脆弱性作为调节因素的重要性。然而,包含空气污染的体现体验一直受到限制。此外,污染对健康的影响通常在群体或人口层面进行研究,而没有充分考虑个体差异。本文使用生物科学框架,将生物学、传记和生物圈结合起来,探索空气污染如何影响哥伦比亚麦德林的居民。通过对个人空气污染体验(传记)进行定性研究,探究个体健康(生物学)和环境(生物圈)的交叉点,我们说明了污染如何在多个尺度上塑造生活节奏。我们的研究结果强调,空气污染对健康的影响不仅限于可测量的污染物,还包括烟雾、噪音、压力以及日常生活中断等复杂的协同作用。这种综合方法提供了对空气污染如何在物质上塑造个人和社区生活的细致理解,倡导采用能够捕捉到传统群体或人口层面分析经常忽略的微妙日常体验的研究模型。

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