Cited by 133Air Quality and Health ImpactsIndoor Air Quality and Microbial ExposureClimate Change and Health Impacts

Effects of ambient particulate matter and ozone on daily mortality in Rotterdam, the Netherlands

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Hoek, Gerard, Schwartz, Joel D., Groot, Bernard, Eilers, Paul·1997·Archives of Environmental Health An International Journal

Abstract

The association between daily variations in all-cause mortality from 1983-1991 in Rotterdam, the Netherlands, and ambient air pollution was investigated. Twenty-four-hour average concentrations of total suspended particulates, Black Smoke, ozone, sulfur dioxide, and carbon monoxide were available on a daily basis. Every other day, total iron content in total suspended particulates samples was available. Poisson regression analysis was used to study associations between air pollution and mortality; generalized additive models were used to adjust for confounders (e.g., seasonal trends, weather). Daily mortality was associated most consistently with previous-day concentrations of total suspended particulates (relative risk = 1.05 for a change of 91 microg/m3) and ozone (relative risk = 1.06 for a change of 67 microg/m3). Total iron was associated less consistently with mortality than total suspended particulate mass was. The associations of mortality with ozone and total suspended particulates were independent of sulfur dioxide and carbon monoxide. The relative risks of total suspended particulates and particularly ozone were higher for subjects older than 78 y. The relationship between mortality and ozone did not deviate significantly from linear. The relationship between mortality and total suspended particulates was linear below 100 microg/m3 and leveled off at higher concentrations. If a threshold exists for the effects on mortality of these components, it exists at very low levels.

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Crossref · 10.1080/00039899709602224

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  • Hoek et al. (1997) found that relative risk estimates of mortality associated with daily changes in O3 were robust to exclusion of days with a 24-hr average ≥ 40 μg/m3 (about 20 ppb) in Rotterdam, the Netherlands, and concluded that should a threshold exist, it may be at a low concentration.

    “Hoek et al. (1997) found that relative risk estimates of mortality associated with daily changes in O3 were robust to exclusion of days with a 24-hr average ≥ 40 μg/m3 (about 20 ppb) in a study of Rotterdam, the Netherlands, and concluded that should a threshold exist, it may be at a low concentration.”

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Authors
Hoek, G., Schwartz, J. D., Groot, B., & Eilers, P.
Affiliations
  • Wageningen University & Research (NL)
  • Harvard University (US)
  • Gemeente Rotterdam (NL)
  • DCMR Milieudienst Rijnmond (NL)
Venue
Archives of Environmental Health An International Journal
Published
1997-11
Volume
52
Issue
6
Pages
455-463
ISSN
0003-9896 (ISSN-L)
OpenAlex
W2130908179
Cited by
133
References
49
Citations by year
2026: 2 · 2025: 1 · 2023: 1 · 2021: 3 · 2019: 1 · 2018: 5 · 2017: 3 · 2016: 4 · 2014: 3 · 2013: 1 · 2012: 4
FWCI
7.79
Type
journal article
Language
en
Open access
Locations
  • Archives of Environmental Health An International Journal (publishedVersion)
  • PubMed (publishedVersion)
  • Socio-Environmental Systems Modeling (acceptedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
Keywords
ambient air pollution, particulate matter, ozone, all-cause mortality, daily mortality, total suspended particulates, black smoke, sulfur dioxide, carbon monoxide, iron content, dose-response relationship, threshold, older adults, Rotterdam
MeSH terms
Age Factors, Aged, Air Pollutants, Environmental Monitoring, Humans, Mortality, Netherlands, Ozone, Risk, Seasons, Urban Health, Models, Statistical, Confounding Factors, Epidemiologic, Poisson Distribution

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