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Revealing symptom-level vulnerabilities between academic involution and anxiety: a network analysis
by
Shao, Siyang
, Wang, Yudi
, Liang, Ze
, Xu, Shanshan
, Yue, Ning
, Wang, Xinxin
, Liu, Bowen
, Lin, Junkang
in
Academia
/ Academic achievement
/ Academic involution
/ Adolescent
/ Adult
/ Anxiety
/ Anxiety - epidemiology
/ Anxiety - psychology
/ Behavioral Science and Psychology
/ China - epidemiology
/ Clinical Psychology
/ Cognitive Psychology
/ College students
/ Competition
/ Cross-Sectional Studies
/ Education
/ Female
/ Humans
/ Hypothesis generation
/ Labor market
/ Likert scale
/ Male
/ Mental health
/ Network analysis
/ Pandemics
/ Peer relationships
/ Perceptions
/ Physiology
/ Psychology
/ Psychology Research
/ Psychopathology
/ School environment
/ Stress
/ Students - psychology
/ Students - statistics & numerical data
/ Symptom-level associations
/ Universities
/ University students
/ Young Adult
2026
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Revealing symptom-level vulnerabilities between academic involution and anxiety: a network analysis
by
Shao, Siyang
, Wang, Yudi
, Liang, Ze
, Xu, Shanshan
, Yue, Ning
, Wang, Xinxin
, Liu, Bowen
, Lin, Junkang
in
Academia
/ Academic achievement
/ Academic involution
/ Adolescent
/ Adult
/ Anxiety
/ Anxiety - epidemiology
/ Anxiety - psychology
/ Behavioral Science and Psychology
/ China - epidemiology
/ Clinical Psychology
/ Cognitive Psychology
/ College students
/ Competition
/ Cross-Sectional Studies
/ Education
/ Female
/ Humans
/ Hypothesis generation
/ Labor market
/ Likert scale
/ Male
/ Mental health
/ Network analysis
/ Pandemics
/ Peer relationships
/ Perceptions
/ Physiology
/ Psychology
/ Psychology Research
/ Psychopathology
/ School environment
/ Stress
/ Students - psychology
/ Students - statistics & numerical data
/ Symptom-level associations
/ Universities
/ University students
/ Young Adult
2026
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Revealing symptom-level vulnerabilities between academic involution and anxiety: a network analysis
by
Shao, Siyang
, Wang, Yudi
, Liang, Ze
, Xu, Shanshan
, Yue, Ning
, Wang, Xinxin
, Liu, Bowen
, Lin, Junkang
in
Academia
/ Academic achievement
/ Academic involution
/ Adolescent
/ Adult
/ Anxiety
/ Anxiety - epidemiology
/ Anxiety - psychology
/ Behavioral Science and Psychology
/ China - epidemiology
/ Clinical Psychology
/ Cognitive Psychology
/ College students
/ Competition
/ Cross-Sectional Studies
/ Education
/ Female
/ Humans
/ Hypothesis generation
/ Labor market
/ Likert scale
/ Male
/ Mental health
/ Network analysis
/ Pandemics
/ Peer relationships
/ Perceptions
/ Physiology
/ Psychology
/ Psychology Research
/ Psychopathology
/ School environment
/ Stress
/ Students - psychology
/ Students - statistics & numerical data
/ Symptom-level associations
/ Universities
/ University students
/ Young Adult
2026
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Revealing symptom-level vulnerabilities between academic involution and anxiety: a network analysis
Journal Article
Revealing symptom-level vulnerabilities between academic involution and anxiety: a network analysis
2026
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Overview
Background
Academic involution—escalating but low-yield academic effort—has become a salient feature of Chinese higher education. Although initial studies suggest a positive association between involution and anxiety, the specific symptom-to-symptom associations remain unclear.
Methods
A cross-sectional survey was conducted among 1,403 undergraduates in Shandong Province, China (mean age = 19.3 years; 34.9% male). Academic involution was assessed with the 24-item Academic Involution Scale, and anxiety symptoms with the 20-item Zung Self-Rating Anxiety Scale. A regularized partial correlation network was estimated using Graphical Gaussian Models with EBIC-LASSO. Central and bridge nodes were identified via expected influence (EI) and bridge expected influence (BEI).
Results
Academic involution dimensions were positively correlated with anxiety (
r
= 0.35–0.63,
p
< 0.001). In the network, the most central anxiety symptoms were dizziness (EI = 1.20), panic (EI = 1.17), and faintness (EI = 1.12). Effort-reward (BEI = 0.38) and self-monitoring (BEI = 0.26) showed the highest bridge expected influence values in the network. Bootstrapping indicated narrow confidence intervals and stable centrality estimates (CS = 0.75).
Conclusions
These findings highlight that academic involution was conditionally associated with anxiety symptoms in specific cognitive–behavioral (effort–reward imbalance, self-monitoring) and physiological (somatic hyperarousal) patterns. Identifying central and bridge symptoms provides a hypothesis‑generating framework for generating more targeted hypotheses for future intervention research on both cognitive evaluations and bodily manifestations of stress.
Publisher
BioMed Central,Springer Nature B.V,BMC
Subject
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