Division of Psychiatry, Imperial College London.
Central and North West London NHS Foundation Trust.
Curr Opin Psychiatry. 2022 May 1;35(3):192-199. doi: 10.1097/YCO.0000000000000771. Epub 2021 Dec 24.
There is increasing interest in the links between exposure to air pollution and a range of health outcomes. The association with mental health however is much less established. This article reviews developments in the field over the past 12 months, highlighting the evidence for causation, associations between multiple air pollutants and mental health outcomes, and assesses the challenges of researching this topic.
Increasingly rigorous methods are being applied to the investigation of a broader range of mental health outcomes. These methods include basic science, neuroimaging, and observational studies representing diverse geographical locations. Cohort studies with linked high-resolution air pollutant exposure data are common, facilitating advanced analytic methods. To date, meta-analyses have demonstrated small and significant positive associations between long-term exposure to fine particulate matter and depressive symptoms and cognitive decline. Methodological complexities in measuring exposure and outcome pose ongoing difficulties for the field.
Literature on this topic has recently seen an appreciable expansion. Work that better estimates daily exposure, controls for complex confounders, and is driven by hypotheses founded in candidate causal mechanisms would help clarify associations, and inform targeted interventions and policymakers.
人们对暴露于空气污染与一系列健康结果之间的联系越来越感兴趣。然而,与心理健康的关联却远未得到证实。本文回顾了过去 12 个月该领域的发展,强调了因果关系的证据、多种空气污染物与心理健康结果之间的关联,并评估了研究这一课题的挑战。
越来越严格的方法正被应用于更广泛的心理健康结果的研究。这些方法包括基础科学、神经影像学和代表不同地理位置的观察性研究。具有关联的高分辨率空气污染暴露数据的队列研究很常见,这为先进的分析方法提供了便利。迄今为止,荟萃分析表明,长期暴露于细颗粒物与抑郁症状和认知能力下降之间存在微小但显著的正相关关系。暴露和结果的测量方法上的复杂性给该领域带来了持续的困难。
关于这个主题的文献最近有了相当大的扩展。更好地估计每日暴露量、控制复杂的混杂因素、并以候选因果机制为基础的假设驱动的工作,将有助于澄清关联,并为有针对性的干预措施和政策制定者提供信息。