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ABSTRACT: Introduction
With the growing prevalence of anxiety symptoms among university students, self-control is an important potential influence. This study aims to understand the network structure of self-control and anxiety, and to identify the core symptoms within this network. It will provide a theoretical basis for the prevention and intervention of anxiety symptoms in university students.Method
We used network analysis to study anxiety and self-control in 3,792 university students from six schools in Heilongjiang Province, China. We checked for linear connections in the networks using a restricted cubic spline. We conducted the analyses and made graphs using R software.Results
(i) The total sample network showed that higher levels of self-control in university student
SUBMITTER: Zhang M
PROVIDER: S-EPMC11559139 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature