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Residential surrounding green, air pollution, traffic noise and self-perceived general health.
Klompmaker, Jochem O; Janssen, Nicole A H; Bloemsma, Lizan D; Gehring, Ulrike; Wijga, Alet H; van den Brink, Carolien; Lebret, Erik; Brunekreef, Bert; Hoek, Gerard.
Afiliação
  • Klompmaker JO; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands. Electronic address: jochem.klompmaker@rivm.nl.
  • Janssen NAH; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
  • Bloemsma LD; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
  • Gehring U; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
  • Wijga AH; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
  • van den Brink C; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
  • Lebret E; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
  • Brunekreef B; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Hoek G; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
Environ Res ; 179(Pt A): 108751, 2019 12.
Article em En | MEDLINE | ID: mdl-31557601
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 (PM10, PM2.5), and nitrogen dioxide (NO2)) 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 NO2 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / Exposição Ambiental / Poluição Relacionada com o Tráfego / Ruído dos Transportes Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Adult / Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / Exposição Ambiental / Poluição Relacionada com o Tráfego / Ruído dos Transportes Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Adult / Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article