Back to Search Start Over

Residential surrounding green, air pollution, traffic noise and self-perceived general health.

Authors :
Klompmaker JO
Janssen NAH
Bloemsma LD
Gehring U
Wijga AH
van den Brink C
Lebret E
Brunekreef B
Hoek G
Source :
Environmental research [Environ Res] 2019 Dec; Vol. 179 (Pt A), pp. 108751. Date of Electronic Publication: 2019 Sep 17.
Publication Year :
2019

Abstract

Self-perceived general health (SGH) is one of the most inclusive and widely used measures of health status and a powerful predictor of mortality. However, only a limited number of studies evaluated associations of combined environmental exposures on SGH. Our aim was to evaluate associations of combined residential exposure to surrounding green, air pollution and traffic noise with poor SGH in the Netherlands. We linked data on long-term residential exposure to surrounding green based on the Normalized Difference Vegetation Index (NDVI) and a land-use database (TOP10NL), air pollutant concentrations (including particulate matter (PM <subscript>10</subscript> , PM <subscript>2.5</subscript> ), and nitrogen dioxide (NO <subscript>2</subscript> )) and road- and rail-traffic noise with a Dutch national health survey, resulting in a study population of 354,827 adults. We analyzed associations of single and combined exposures with poor SGH. In single-exposure models, NDVI within 300 m was inversely associated with poor SGH [odds ratio (OR) = 0.91, 95% CI: 0.89, 0.94 per IQR increase], while NO <subscript>2</subscript> was positively associated with poor SGH (OR = 1.07, 95% CI: 1.04, 1.11 per IQR increase). In multi-exposure models, associations with surrounding green and air pollution generally remained, but attenuated. Joint odds ratios (JOR) of combined exposure to air pollution, rail-traffic noise and decreased surrounding green were higher than the odds ratios of single-exposure models. Studies including only one of these correlated exposures may overestimate the risk of poor SGH attributed to the studied exposure, while underestimating the risk of combined exposures.<br /> (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1096-0953
Volume :
179
Issue :
Pt A
Database :
MEDLINE
Journal :
Environmental research
Publication Type :
Academic Journal
Accession number :
31557601
Full Text :
https://doi.org/10.1016/j.envres.2019.108751