Evidence map›Paper›PMID 42204654›Full record

ArticleBMC psychology2026

Revealing symptom-level vulnerabilities between academic involution and anxiety: a network analysis.

Shanshan Xu, Siyang Shao, Ning Yue, Bowen Liu, Yudi Wang, Ze Liang, Junkang Lin, Xinxin Wang

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Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Shanshan Xu *Huainan Union University, Huainan, Anhui, China.
Siyang Shao *Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China.
Ning Yue *Huainan Union University, Huainan, Anhui, China.
Bowen LiuVanke School of Public Health, Tsinghua University, Beijing, China.
Yudi WangHuainan Union University, Huainan, Anhui, China.
Ze LiangSchool of Economics and Management, Harbin Institute of Technology, Harbin, Heilongjiang, China. liangze@hit.edu.cn.
Junkang LinDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA. linjunkangjk@outlook.com.
Xinxin WangLinyi University, Linyi, Shandong, 276000, China. wangxinxin1@lyu.edu.cn.

Funding

Natural Science Foundation of Shandong Province ZR2025QC905
6 · The paper itself

Abstract

backgroundAcademic 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.

methodsA 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).

resultsAcademic 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).

conclusionsThese 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.

Indexed as

AnxietyStudentsAcademiaAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMaleUniversitiesYoung AdultAcademic involutionAnxietyHypothesis generationNetwork analysisSymptom-level associations

Identifiers

PMID42204654
PMCPMC13353027

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