Modelling personal temperature exposure using household and outdoor temperature and questionnaire data: Implications for epidemiological studies.

ABSTRACT: Non-optimal temperature is a leading risk factor for global disease burden. Most epidemiological studies assessed only outdoor temperature, with important uncertainties on personal exposure misclassification. The CKB-Air study measured personal, household (kitchen and living room), and outdoor temperatures in the summer (MAY-SEP 2017) and winter (NOV 2017-JAN 2018) in 477 participants in China. After data cleaning, ∼88,000 person-hours of data were recorded across each microenvironment. Using multivariable linear regression (MLR) and random forest (RF) models, we identified key predictors and constructed personal temperature exposure prediction models. We used generalised additive mixed effect models to examine the relationships of personal and outdoor temperatures with heart rate. The 24-

SUBMITTER: Xia X 

PROVIDER: S-EPMC7616742 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature