Associations between the urban exposome and type 2 diabetes: Results from penalised regression by least absolute shrinkage and selection operator and random forest models

Associations between the urban exposome and type 2 diabetes: Results from penalised regression by least absolute shrinkage and selection operator and random forest models

Background: Type 2 diabetes (T2D) is thought to be influenced by environmental stressors such as air pollution and noise. Although environmental factors are interrelated, studies considering the exposome are lacking. We simultaneously assessed a variety of exposures in their association with prevale...

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Bibliographic Details
Main Authors: Haykanush Ohanyan, Lützen Portengen, Oriana Kaplani, Anke Huss, Gerard Hoek, Joline W.J. Beulens, Jeroen Lakerveld, Roel Vermeulen
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Environment International
Subjects:
Neighbourhood socio-economic position
Neighbourhood socio-demographic characteristics
Temperature
Machine learning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412022005190

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http://www.sciencedirect.com/science/article/pii/S0160412022005190

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