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dc.contributor.authorKlompmaker, Jochem O
dc.contributor.authorHoek, Gerard
dc.contributor.authorBloemsma, Lizan D
dc.contributor.authorWijga, Alet H
dc.contributor.authorvan den Brink, Carolien
dc.contributor.authorBrunekreef, Bert
dc.contributor.authorLebret, Erik
dc.contributor.authorGehring, Ulrike
dc.contributor.authorJanssen, Nicole A H
dc.date.accessioned2019-07-30T10:27:38Z
dc.date.available2019-07-30T10:27:38Z
dc.date.issued2019-08-01
dc.identifier.issn1873-6750
dc.identifier.pmid31158598
dc.identifier.doi10.1016/j.envint.2019.05.040
dc.identifier.urihttp://hdl.handle.net/10029/623202
dc.description.abstractIn this cross-sectional study, we linked data from a Dutch national health survey among 387,195 adults including questions about psychological distress, based on the Kessler 10 scale, to an external database on registered prescriptions of anxiolytics, hypnotics & sedatives and antidepressants. We added data on residential surrounding green in a 300 m and a 1000 m buffer based on the Normalized Difference Vegetation Index (NDVI) and a land-use database (TOP10NL), modeled annual average air pollutant concentrations (including particulate matter (PM10, PM2.5), and nitrogen dioxide (NO2)) and modeled road- and rail-traffic noise (Lden and Lnight) to the survey. We used logistic regression to analyze associations of surrounding green, air pollution and traffic noise exposure with poor mental health.en_US
dc.language.isoenen_US
dc.subjectAntidepressantsen_US
dc.subjectAnxiolyticsen_US
dc.subjectHypnotics & sedativesen_US
dc.subjectJoint odds ratioen_US
dc.subjectNDVIen_US
dc.subjectNO2en_US
dc.subjectPM2.5en_US
dc.titleAssociations of combined exposures to surrounding green, air pollution and traffic noise on mental health.en_US
dc.typeArticleen_US
dc.identifier.journalEnviron Int 2019; 129:525-37en_US
dc.source.journaltitleEnvironment international


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