Ontology highlight
ABSTRACT: Objective
To investigate the generational and educational gaps in online health information seeking (OHIS) in China and to analyze the connections between internet use and these disparities.Methods
Utilizing data from the Chinese General Social Survey 2021, binary logistic regression analysis was employed to examine the associations between age groups (18-40 years, 41-59 years, and ≥60 years), educational levels (middle school or below, high school, and college or above), and OHIS. Furthermore, we calculated the marginal effects of the main predictors at different levels of the moderator, along with the second difference between distinct levels of the main predictor, to rigorously assess the moderating effect of internet use.Results
The results indicated significant
SUBMITTER: Zhao L
PROVIDER: S-EPMC12586879 | biostudies-literature | 2025 Jan-Dec
REPOSITORIES: biostudies-literature