Development and validation of a nomogram for predicting the risk of mental health problems of factory workers and miners.

ABSTRACT:

Objective

A nomogram for predicting the risk of mental health problems was established in a population of factory workers and miners, in order to quickly calculate the probability of a worker suffering from mental health problems.

Methods

A cross-sectional survey of 7500 factory workers and miners in Urumqi was conducted by means of an electronic questionnaire using cluster sampling method. Participants were randomly assigned to the training group (70%) and the validation group (30%). Questionnaire-based survey was conducted to collect information. A least absolute shrinkage and selection operator (LASSO) regression model was used to screen the predictors related to the risk of mental health problems of the training group. Multivariate logistic regression analysis was applie

SUBMITTER: Lu Y 

PROVIDER: S-EPMC9310166 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature