Exposure to different types of residential greenness during pregnancy and early childhood and attention-deficit/hyperactivity disorder diagnosis: A nested case-control study

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Science of the Total Environment Pub Date : 2025-03-15 Epub Date: 2025-02-24 DOI:10.1016/j.scitotenv.2025.178907
Leire Luque-García , Gonzalo García-Baquero , Aitana Lertxundi , Wael K. Al-Delaimy , Tiffany C. Yang , Juana Maria Delgado-Saborit , Mònica Guxens , Rosemary R.C. McEachan , Martine Vrijheid , Marisa Estarlich , Mark Nieuwenhuijsen , Jesús Ibarluzea
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Abstract

Background

Epidemiological studies suggest that exposure to greenness may protect children attention-deficit/hyperactivity disorder (ADHD) diagnosis. However, evidence to date is limited while no previous research has independently investigated exposure to prenatal greenness.

Objective

We conducted a nested case-control study with data from Born in Bradford (BiB) and INfancia y Medio Ambiente (INMA) birth cohorts to investigate the association between exposure to various types of residential greenness and ADHD diagnosis, considering both pregnancy and early childhood exposure periods independently. PM2.5 was tested as a potential mediator of the association.

Methods

Children with ADHD were identified based on a confirmed medical diagnosis. Pregnancy and early childhood exposure to residential greenness were estimated through Normalized Difference Vegetation Index (NDVI) within 300-m, urban green space and natural green space percentages within 300-m, and the linear distance to the closest green space in meters. We performed a conditional logistic regression to analyze the association between the included greenness metrics and ADHD.

Results

We found no statistically significant associations between any of the pregnancy and early childhood greenness metrics and ADHD diagnosis in the BiB cohort. Further analysis on the INMA cohort found that higher urban green space percentage slightly increased the risk of ADHD diagnosis during both pregnancy (total effects: OR 1.04, 95 % CI 1.01 to 1.07, p = 0.012; direct effects: OR 1.06, 95 % CI 1.03 to 1.10, p < 0.001) and early childhood (total effects: OR 1.03, 95 % CI 1.00 to 1.07, p = 0.042; direct effects: OR 1.04, 95 % CI 1.00 to 1.07, p = 0.033). However, these associations were not supported by the sensitivity analyses.

Conclusions

This study found both null and inconsistent associations between the included greenness metrics and ADHD. Further research is warranted to elucidate the potential role of exposure to different types of greenness in ADHD diagnosis.

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妊娠期和幼儿期暴露于不同类型的住宅绿化与注意缺陷/多动障碍诊断:一项巢式病例对照研究
流行病学研究表明,接触绿色环境可能有助于儿童注意缺陷/多动障碍(ADHD)的诊断。然而,迄今为止的证据有限,而之前没有研究独立调查暴露于产前绿色。目的:本研究采用出生在布拉德福德(BiB)和儿童与中等环境(INMA)出生队列的数据进行巢式病例对照研究,在独立考虑妊娠期和儿童早期暴露期的情况下,研究暴露于不同类型住宅绿化与ADHD诊断之间的关系。PM2.5被测试为这种关联的潜在中介。方法对ADHD患儿进行医学诊断。通过300 m范围内的归一化植被指数(NDVI)、300 m范围内的城市绿地和自然绿地百分比以及到最近绿地的线性距离(以米为单位)来估算孕期和幼儿对住宅绿化的暴露程度。我们进行了条件逻辑回归来分析所包括的绿化指标与多动症之间的关系。结果在BiB队列中,我们发现孕期和幼儿绿度指标与ADHD诊断之间没有统计学上的显著关联。对INMA队列的进一步分析发现,较高的城市绿地百分比略微增加了两次怀孕期间ADHD诊断的风险(总效应:OR 1.04, 95% CI 1.01 ~ 1.07, p = 0.012;直接影响:OR 1.06, 95% CI 1.03 - 1.10, p <;0.001)和幼儿期(总效应:OR 1.03, 95% CI 1.00 ~ 1.07, p = 0.042;直接影响:OR 1.04, 95% CI 1.00 ~ 1.07, p = 0.033)。然而,这些关联并没有得到敏感性分析的支持。结论:本研究发现,所包括的绿色指标与ADHD之间存在无效或不一致的关联。进一步的研究是必要的,以阐明暴露于不同类型的绿色在ADHD诊断中的潜在作用。
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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