Evidence map›Paper›PMID 40705241›Full record

ArticleThe Psychiatric quarterly2026

Emotion Regulation Strategies Related To Problem Behaviors in Teenagers: A Latent Profile Analysis.

Xiwu Zhang, Yixia Wu

Abstract read
PubMed Publisher
In one paragraph

Article in The Psychiatric quarterly, 2026. 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

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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Xiwu ZhangDepartment of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yixia WuDepartment of Clinical Nutrition, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Five Weft Seven Road, Jinan, 250021, China. wuyixia@sdfmu.edu.cn.

Funding

Natural Science Foundation of Shandong Province ZR2021QH292Natural Science Foundation of Shandong Province ZR2022QB030
6 · The paper itself

Abstract

This study explored the latent heterogeneity of emotion regulation strategies among adolescents and their associations with problem behaviors. Using a sample of Chinese middle school students, we identified distinct profiles of emotion regulation strategies through latent profile analysis. Participants were asked to complete the Emotion Regulation Scale (ERS), the eleven-item Kutcher Adolescent Depression Scale (KADS-11), the Generalized Anxiety Disorder 7-Item Scale (GAD-7), the Ten-Item Internet Gaming Disorder Test (IGDT-10) and the Generic Scale of Phubbing (GSP). Results revealed four subgroups: low, moderate, adaptive and high emotion regulation strategies profile. Adolescents in non-adaptive profiles (low, moderate or high strategies) exhibited higher risks of depression, anxiety, Internet gaming disorder (IGD), and phubbing, whereas the adaptive profile was protective against these problem behaviors. The findings underscore the critical need to prioritize emotion regulation strategies in interventions aimed at mitigating adolescents' risks of internalizing and externalizing problems. The results further emphasize the necessity of adopting tailored approaches that align with individuals' unique regulatory patterns, ensuring interventions are both precision-driven and effective in addressing the diverse emotional regulation needs of adolescents.

Indexed as

Adolescent BehaviorEmotional RegulationInternet Addiction DisorderLatent Class AnalysisAdolescentAnxietyCoping SkillsDepressionFemaleHumansMaleCognitive Reappraisal StrategyExpression Suppression StrategyExternalizing BehaviorsInternalizing BehaviorsLatent Profile Analysis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.