Evidence map›Paper›PMID 37659028›Full record

ArticleChild psychiatry and human development2025

Profiles of Intolerance of Uncertainty Among 108,540 Adolescents: Associations with Sociodemographic Variables and Mental Health.

Haoxian Ye, Chunling Chen, Shiying Chen, Nan Jiang, Zifan Cai, Yixin Liu, Yunyi Li, Yike Huang, Wanqing Yu, Ruiyan You and 2 more

Abstract read
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In one paragraph

Article in Child psychiatry and human development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 2 countries.

Haoxian Ye *Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Chunling Chen *Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Shiying ChenCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Nan JiangCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Zifan CaiCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Yixin LiuCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Yunyi LiCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Yike HuangCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Wanqing YuCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Ruiyan YouCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Haiping LiaoCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China.
Fang FanCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, School of Psychology, South China Normal University, Shipai Road, Guangzhou, 510631, China. fangfan@scnu.edu.cn.
South China Normal University · CN

Funding

National Natural Science Foundation of China 31871129
6 · The paper itself

Abstract

Intolerance of uncertainty (IU) is widely considered a transdiagnostic risk and maintaining factor for psychiatric disorders. However, little is known about the overall nature and profile of IU among adolescents. This study aims to investigate the profiles of IU among Chinese adolescents and explore their associations with sociodemographic characteristics and mental health problems. A sample of 108,540 adolescents provided data on IU, sociodemographic characteristics, and mental health via an online platform. Latent profile analysis revealed three profiles: Low IU, Medium IU, and High IU. Girls, older adolescents, and those with specific sociodemographics were more likely to belong to the "High IU" profile. Furthermore, the "High IU" profile was associated with the highest risk of several mental health problems. These findings provided valuable information for early prevention and intervention strategies targeting IU and highlighted the importance of IU-based interventions for mental health among adolescents.

Indexed as

Mental DisordersMental HealthAdolescentChinaFemaleHumansMaleSociodemographic FactorsUncertaintyAdolescentsIntolerance of uncertaintyLatent profile analysisMental healthSociodemographic variables

Identifiers

PMID37659028
OpenAlexW4386391635

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.