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Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-...

Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_gup_ub_gu_se_314510

Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-Term Air Pollution Exposure and Incidence of Cardiovascular Disease

About this item

Full title

Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-Term Air Pollution Exposure and Incidence of Cardiovascular Disease

Publisher

Switzerland: MDPI AG

Journal title

International journal of environmental research and public health, 2022, Vol.19 (5), p.2630

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Long-term air pollution exposure increases the risk for cardiovascular disease, but little is known about the temporal relationships between exposure and health outcomes. This study aims to estimate the exposure-lag response between air pollution exposure and risk for ischemic heart disease (IHD) and stroke incidence by applying distributed lag non...

Alternative Titles

Full title

Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-Term Air Pollution Exposure and Incidence of Cardiovascular Disease

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_gup_ub_gu_se_314510

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_gup_ub_gu_se_314510

Other Identifiers

ISSN

1660-4601,1661-7827

E-ISSN

1660-4601

DOI

10.3390/ijerph19052630