Barcelona Institute for Global Health, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029, Madrid, Spain; GGD Drenthe, Mien Ruysweg 1, 9408 KA, Assen, the Netherlands.
Mary MacKillop Institute for Health Research (MMIHR), Australian Catholic University (ACU), 5/215 Spring St, Melbourne, VIC, 3000, Australia.
Environ Pollut. 2024 Apr 1;346:123559. doi: 10.1016/j.envpol.2024.123559. Epub 2024 Feb 19.
Built environment characteristics and related environmental exposures and behaviors have been, separately, implicated in the development of poor mental health. However, it is unclear how these factors act together in relation to mental health. We studied these factors simultaneously to evaluate the impact of the built environment, and the mediating role of environmental exposures and physical activity, on mental health, while also studying moderation by sex, age, and length of residence. We used a cross-sectional population-based sample of 3145 individuals aged 15-97 years from Barcelona, Spain. Time spent walking and mental health status were assessed with validated questionnaires, administered through a face-to-face interview. We characterized the built environment (e.g., building, population and intersection density and green space), road traffic noise, and ambient air pollution at the residential level using land cover maps, remote sensing, noise maps and land use regression models. Adjusted regression models accounting for spatial clustering were analyzed to study associations between built environment attributes and mental health, and mediation and moderation effects. Density attributes were directly or indirectly, through air pollution and less consistently through walking, associated with poor mental health. Green space indicators were associated with lower prevalence of poor mental health, partly through lower air pollution exposure and more walking. In some cases, these associations differed by sex, age or length of residence. Non-linear associations of density indicators with environmental exposures, and of particulate matter with poor mental health indicated threshold effects. We conclude that living in dense areas with high air pollution concentrations was associated with poor mental health. On the other hand, green areas with lower air pollution concentrations were protective against poor mental health. Greater urban density might benefit health, but might only do so when air pollution concentrations are low.
建筑环境特征以及相关的环境暴露和行为分别与心理健康状况不佳有关。然而,这些因素如何共同作用于心理健康还不清楚。我们同时研究了这些因素,以评估建筑环境、环境暴露和身体活动对心理健康的影响,同时还研究了性别、年龄和居住时间的调节作用。我们使用了来自西班牙巴塞罗那的一个 15-97 岁人群的横断面基于人群的样本,共有 3145 人。通过面对面访谈,使用经过验证的问卷评估了步行时间和心理健康状况。我们使用土地覆盖图、遥感、噪声图和土地利用回归模型,在居住层面上描述了建筑环境(如建筑、人口和交叉口密度以及绿地)、道路交通噪声和环境空气污染。分析了调整后的回归模型,以研究建筑环境属性与心理健康之间的关联,以及中介和调节作用。密度属性通过空气污染和步行较少的方式直接或间接地与心理健康状况不佳有关。绿地指标与较差的心理健康状况呈负相关,部分原因是空气污染暴露降低和步行增加。在某些情况下,这些关联因性别、年龄或居住时间而异。密度指标与环境暴露之间的非线性关联以及颗粒物与心理健康状况不佳之间的非线性关联表明存在阈值效应。我们的结论是,生活在空气污染浓度高的密集地区与心理健康状况不佳有关。另一方面,空气污染浓度较低的绿地对预防心理健康状况不佳具有保护作用。更大的城市密度可能对健康有益,但只有在空气污染浓度较低的情况下才会如此。