Ontology highlight
ABSTRACT: Objective
To assess the prevalence of depression among uninsured middle-aged food delivery riders, to identify occupational and psychosocial determinants, and to develop a predictive nomogram for early risk detection.Methods
We conducted a cross-sectional survey of 1,333 uninsured riders aged 40-59 years in China between January 2022 and December 2024. Depressive symptoms were evaluated using the CESD-10 scale. Data on sociodemographic, behavioral, health, and occupational characteristics were collected. Predictors were identified through least absolute shrinkage and selection operator (LASSO) regression and entered into a multivariable logistic regression to construct a predictive model. Model performance was assessed using the area under the receiver operating characteris
SUBMITTER: Long H
PROVIDER: S-EPMC12853888 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature