Evidence map›Paper›PMID 40530072›Full record

ArticleFrontiers in psychiatry2025

Characteristics of premonitory urge and tic symptom in different age groups from a network perspective.

Liping Yu, Yanlin Li, Xianbin Wang, Yonghua Cui

Abstract read
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Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Liping Yu *Department of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Yanlin Li *Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Commission (NHC) Key Laboratory of Mental Health (Peking University), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
Xianbin WangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Yonghua CuiDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tic disorders are neurodevelopmental disorders. Current research suggests that premonitory urges (PU) may be the cause and basis of tic disorders. The study used network analysis to investigate the detailed associations between PUs and tic symptoms the and internal relationships of PUs. Methods: We included 1021 outpatient tic disorders. We used R 4.1.3 to perform network analysis. The "qgraph" package constructed the Premonitory Urge for Tics Scale (PUTS) and Yale Global Tic Severity Scale (YGTSS)networks for low-age and high-age group, and calculated the centrality measures for the four networks. We used the "bootnet" package to test the accuracy of the four network models and used the "NetworkComparisonTest" package to compare the networks for different age groups. Results: The network structures were stable (above 0.5). The node with the highest intensity was the 8th entry. The "connection" node was identified as the "all defects caused by motion or vocal tics" entry in the YGTSS. The strength and weight of the network structures did not significantly differ between the different groups. The node strength substitution test revealed that the 9th item had a significantly stronger intensity in lower age group (0.75) than in the higher age group (0.53) with a Conclusion: This study validates the internal structure of the PUTS scale across different age groups from a network perspective. It provides theoretical guidance and practical basis for targeted behavioral therapy.

Indexed as

agebehavioral therapynetwork analysispremonitory urgestic disorders

Identifiers

PMID40530072
PMCPMC12171955

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