A Novel Depression Risk Prediction Model Using NHANES Data With Mendelian Randomization Validation.

ABSTRACT:

Background

Despite depression's significant public health impact, efficient and accessible screening tools utilizing routine clinical indicators remain limited. This study aimed to develop and validate a practical depression risk prediction model based on commonly available biochemical markers, facilitating widespread early screening and timely intervention in general clinical settings.

Methods

We formulated a model for depression, scrutinizing an assortment of biochemical indicators and their bidirectional interrelationships with depression, employing data derived from the National Health and Nutrition Examination Survey (NHANES) and leveraging the Mendelian randomization (MR) approach, a method that utilizes genetic variants as instrumental proxies to ascertain causal nexu

SUBMITTER: Lin L 

PROVIDER: S-EPMC12409830 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature