Impact of air pollution on mental illness in early adulthood: Feasibility study combining UK twin cohort data with modelled air pollution exposure

空气污染对成年早期精神疾病的影响：将英国双胞胎队列数据与模拟空气污染暴露相结合的可行性研究

• 批准号: NE/P010687/1
• 负责人: Helen Fisher
• 金额: $ 9.44万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FP010687%2F1
• 关键词: Impact; air; pollution; mental; illness

Air pollution is a worldwide environmental health issue. Exposure to high levels of pollution has been linked to a range of physical health problems, including cardiovascular and respiratory illnesses. Recent research suggests that air pollution may also have an effect on mental health. However, these studies suffer from a number of methodological problems which make it difficult to draw any firm conclusions about the relationship between exposure to air pollution and mental health problems. This is important to ascertain as psychiatric disorders, such as depression, place a massive burden on individuals, families and society. If we understand what causes them to develop then we can design effective interventions and introduce policies (such as reducing pollution levels) to prevent them from occurring. Moreover, as the vast majority of all psychiatric disorders have started by early adulthood, it is essential to focus on exposure prior to this period to maximise prevention opportunities. Therefore, this project will capitalise on a unique cohort of over 2000 UK twins from the Environmental Risk (E-Risk) Longitudinal Twin study and link the in-depth clinical assessments completed on them at age 18 with high-resolution estimates of their exposure to air pollution in the previous year to investigate more comprehensively the potential impact of air pollution exposure on mental health problems. Specifically, outdoor concentrations for a range of pollutants will be estimated around the E-Risk participants' residential addresses together with two other locations they report spending the majority of their time at during a one-year period (2012) and these will be averaged to produce an annual estimate across the three locations. These estimates will be securely combined with data on past-year psychiatric diagnoses (anxiety, attention-deficit hyperactivity disorder [ADHD], depression, and conduct disorder) obtained on the participants during clinical interviews at age 18. Associations between the estimated level of pollution exposure and each psychiatric disorder will then be examined. This study builds on a smaller-scale pilot conducted by the project team focused just on twins who lived in the London area, which demonstrated that it was feasible to link such datasets and suggested that estimated levels of air pollution exposure were associated with depression, conduct disorder and ADHD at age 18. Given that pollution levels vary widely across the UK it is important to extend this initial work to the full UK sample. The proposed study will substantially improve upon existing studies in several ways. Firstly, we will use a cutting-edge estimation model that can predict air pollution exposure down to address level, which increases the accuracy of estimated exposure. Secondly, we will use a large well-characterised sample of twin children from across the UK who have been extensively assessed since birth thus enabling us to check that air pollution and psychiatric disorders are not spuriously associated due to other factors (e.g., socio-economic status, smoking, victimisation, physical illnesses). We will also compare the rates of psychiatric disorders in twins where one twin has been exposed to high levels of pollution and the other has been exposed to lower levels (due to living in different areas), which allows us to rule out genetic and environmental factors that we cannot measure directly thus increasing confidence in our findings.Overall, the quality of our densely-phenotyped cohort data, the high resolution of the pollution estimates, and powerful twin design, will guarantee the results of this project substantially advance our understanding of the role of air pollution exposure in the development of psychiatric disorders, thus moving us closer to prevention. We anticipate that this project will pave the way for additional innovative integrations of environmental data with the extensive cohort data available in the UK.

空气污染是一个世界性的环境健康问题。暴露于高浓度污染与一系列身体健康问题有关，包括心血管和呼吸道疾病。最近的研究表明，空气污染也可能对心理健康产生影响。然而，这些研究存在许多方法论问题，因此很难就暴露于空气污染和心理健康问题之间的关系得出任何确切的结论。这对于确定抑郁症等精神疾病给个人、家庭和社会带来巨大负担非常重要。如果我们了解导致它们发生的原因，那么我们就可以设计有效的干预措施并采取政策（例如降低污染水平）来防止它们发生。此外，由于绝大多数精神疾病都是在成年早期开始的，因此必须重点关注在此时期之前的暴露情况，以最大限度地提高预防机会。因此，该项目将利用环境风险（E-Risk）纵向双胞胎研究中超过 2000 名英国双胞胎的独特队列，并将对他们 18 岁时完成的深入临床评估与他们暴露于环境风险的高分辨率估计联系起来。去年的空气污染调查更全面地调查了空气污染暴露对心理健康问题的潜在影响。具体而言，将估计 E-Risk 参与者的居住地址以及他们报告在一年期间（2012 年）期间大部分时间待在的其他两个地点周围的一系列污染物的室外浓度，并将这些平均值计算为生成三个地点的年度估算。这些估计值将与 18 岁参与者在临床访谈中获得的过去一年的精神诊断数据（焦虑、注意力缺陷多动障碍 [ADHD]、抑郁症和品行障碍）安全地结合起来。估计的污染水平之间的关联然后将检查暴露情况和每种精神疾病。这项研究建立在项目团队进行的一项小规模试点的基础上，该试点仅关注居住在伦敦地区的双胞胎，该研究证明链接此类数据集是可行的，并表明空气污染暴露的估计水平与抑郁症、行为相关。 18 岁时患有精神障碍和多动症。鉴于英国各地的污染水平差异很大，因此将这项初步工作扩展到整个英国样本非常重要。拟议的研究将从多个方面对现有研究进行实质性改进。首先，我们将使用尖端的估计模型，可以将空气污染暴露预测到地址水平，从而提高估计暴露的准确性。其次，我们将使用来自英国各地的双胞胎儿童的大量特征良好的样本，这些样本自出生以来就经过了广泛的评估，从而使我们能够检查空气污染和精神疾病是否由于其他因素（例如社会经济因素）而虚假关联。地位、吸烟、受害、身体疾病）。我们还将比较双胞胎的精神疾病发生率，其中一个双胞胎暴露于高水平的污染，而另一个则暴露于较低水平的污染（由于生活在不同地区），这使我们能够排除遗传和环境因素我们无法直接测量，从而增加了对我们研究结果的信心。总体而言，我们密集表型队列数据的质量、污染估计的高分辨率以及强大的孪生设计将保证该项目的结果大大促进我们对空气污染暴露在精神疾病的发展，从而使我们更接近预防。我们预计该项目将为环境数据与英国现有的广泛队列数据的更多创新整合铺平道路。

项目成果

The Contribution of Environmental Science to Mental Health Research: A Scoping Review.

• DOI: 10.3390/ijerph20075278
• 发表时间: 2023-03-27
• 期刊: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
• 作者: Roberts, Michaela;Colley, Kathryn;Currie, Margaret;Eastwood, Antonia;Li, Kuang-Heng;Avery, Lisa M;Beevers, Lindsay C;Braithwaite, Isobel;Dallimer, Martin;Davies, Zoe G;Fisher, Helen L;Gidlow, Christopher J;Memon, Anjum;Mudway, Ian S;Naylor, Larissa A;Reis, Stefan;Smith, Pete;Stansfeld, Stephen A;Wilkie, Stephanie;Irvine, Katherine N
• 通讯作者: Irvine, Katherine N

Childhood exposure to ambient air pollution and predicting individual risk of depression onset in UK adolescents.

• DOI: 10.1016/j.jpsychires.2021.03.042
• 发表时间: 2021-06
• 期刊: Journal of psychiatric research
• 影响因子: 4.8
• 作者: Latham RM;Kieling C;Arseneault L;Botter-Maio Rocha T;Beddows A;Beevers SD;Danese A;De Oliveira K;Kohrt BA;Moffitt TE;Mondelli V;Newbury JB;Reuben A;Fisher HL
• 通讯作者: Fisher HL

Air quality and mental health: evidence, challenges and future directions.

• DOI: 10.1192/bjo.2023.507
• 发表时间: 2023-07-05
• 期刊: BJPSYCH OPEN
• 影响因子: 5.4
• 作者: Bhui, Kamaldeep;Newbury, Joanne B.;Latham, Rachel M.;Ucci, Marcella;Nasir, Zaheer A.;Turner, Briony;O'Leary, Catherine;Fisher, Helen L.;Marczylo, Emma;Douglas, Philippa;Stansfeld, Stephen;Jackson, Simon K.;Tyrrel, Sean;Rzhetsky, Andrey;Kinnersley, Rob;Kumar, Prashant;Duchaine, Caroline;Coulon, Frederic
• 通讯作者: Coulon, Frederic

Socioenvironmental Adversity and Adolescent Psychotic Experiences: Exploring Potential Mechanisms in a UK Longitudinal Cohort.

• DOI: 10.1093/schbul/sbad017
• 发表时间: 2023-07-04
• 期刊: Schizophrenia bulletin
• 影响因子: 6.6
• 作者: Newbury JB;Arseneault L;Moffitt TE;Odgers CL;Howe LD;Bakolis I;Reuben A;Danese A;Sugden K;Williams B;Rasmussen LJH;Trotta A;Ambler AP;Fisher HL
• 通讯作者: Fisher HL

Association between genetic and socioenvironmental risk for schizophrenia during upbringing in a UK longitudinal cohort.

• DOI: 10.1017/s0033291720003347
• 发表时间: 2022-06
• 期刊: PSYCHOLOGICAL MEDICINE
• 影响因子: 6.9
• 作者: Newbury, J. B.;Arseneault, L.;Caspi, A.;Moffitt, T. E.;Odgers, C. L.;Belsky, D. W.;Sugden, K.;Williams, B.;Ambler, A. P.;Matthews, T.;Fisher, H. L.
• 通讯作者: Fisher, H. L.