Exposome-Wide Association Study of Body Mass Index Using a Novel Meta-Analytical Approach for Random Forest Models.

ABSTRACT:

Background

Overweight and obesity impose a considerable individual and social burden, and the urban environments might encompass factors that contribute to obesity. Nevertheless, there is a scarcity of research that takes into account the simultaneous interaction of multiple environmental factors.

Objectives

Our objective was to perform an exposome-wide association study of body mass index (BMI) in a multicohort setting of 15 studies.

Methods

Studies were affiliated with the Dutch Geoscience and Health Cohort Consortium (GECCO), had different population sizes (688-141,825), and covered the entire Netherlands. Ten studies contained general population samples, others focused on specific populations including people with diabetes or impaired hearing. BMI was calculated f

SUBMITTER: Ohanyan H 

PROVIDER: S-EPMC11218701 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature