Data, Code, and Documentation for: Long working hours and physician health in Xi’an, China – a large-scale cross-sectional study with dose–response and mediation analyses

This repository contains the demonstration dataset and analytical code for the study entitled "Long working hours and physician health in Xi’an, China: a large-scale cross-sectional study with dose–response and mediation analyses".The study investigates the relationship between weekly working hours and multiple health outcomes among physicians in Xi'an, China, using a comprehensive analytical framework. Primary analyses—including combined weighted mixed-effects logistic regression, subgroup analyses, and mediation analysis—were conducted using StataMP 18. Dose–response assessments using restricted cubic splines and sensitivity analyses using causal forests were performed in R 4.2.2.Included in this repository:A demonstration dataset (n = 1,000), randomly sampled from the full survey of 10,092 physiciansComplete Stata and R scripts to reproduce the main analyses and resultsDocumentation facilitating replication and validation of the study’s findingsThis resource enables researchers to explore the analytical approaches, verify results, and build upon the methodology for related occupational health studies.