Evidence map›Paper›PMID 41071615›Full record

Trial reportJournal of behavioral addictions2025

Identifying internet addiction profiles and bridge connectors among Chinese college students and evaluating CBT vs. CBT+MBI interventions via a randomized controlled trial.

Shuhong Liang, Yaxu Yu, Shuang Liu, Zhijun Song, Lingzhi Song

Abstract readRandomized Controlled TrialComparative Study
In one paragraph

Trial report in Journal of behavioral addictions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors.

Shuhong Liang1School of Psychology, Inner Mongolia Normal University, Hohhot 010022, China.ORCID https://orcid.org/0009-0007-9321-8883
Yaxu Yu1School of Psychology, Inner Mongolia Normal University, Hohhot 010022, China.ORCID https://orcid.org/0009-0001-9357-6337
Shuang Liu1School of Psychology, Inner Mongolia Normal University, Hohhot 010022, China.ORCID https://orcid.org/0009-0007-8383-7904
Zhijun Song1School of Psychology, Inner Mongolia Normal University, Hohhot 010022, China.ORCID https://orcid.org/0009-0008-3038-7599
Lingzhi Song1School of Psychology, Inner Mongolia Normal University, Hohhot 010022, China.ORCID https://orcid.org/0009-0003-6484-8406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The Interaction of Person-Affect-Cognition-Execution (I-PACE) model offers a framework for understanding the interplay between cognitive, affective, and behavioral factors in internet addiction (IA). Our study aims to explore the heterogeneity of IA, identify bridge connectors, and compare the efficacy of cognitive behavioral therapy combined with mindfulness-based intervention (CBT+MBI) versus CBT alone in reducing IA levels among Chinese college students. Methods: In study 1, 1,030 Chinese college students completed assessments of IA, automatic thoughts, self-control, and anxiety. Latent profile analysis (LPA) was employed to identify distinct symptom profiles of IA across individuals. Network analysis (NA) identified bridge connectors for targeted intervention. In study 2, 36 participants randomly selected from the high IA and low IA groups of study 1 were randomly assigned to CBT+MBI, CBT alone, or a control group. The CBT+MBI group received an 8-week dual-modality intervention and the CBT alone received an 8-week CBT intervention, both designed to target the bridge connectors identified via NA in Study 1, while the control group only completed basic questionnaires. Results: In study 1, LPA identified four subgroups: regular, at-risk, low IA, and high IA groups. NA pinpointed automatic thoughts and anxiety as bridge connectors. In study 2, targeted interventions significantly reduced college students' levels of IA. CBT+MBI resulted in greater and more sustained improvements compared to CBT alone, with effects maintained for six-month post-intervention. Conclusions: Our study not only reinforces the I-PACE model but also provides actionable strategies for designing evidence-based, multidimensional interventions to reduce addictive behaviors among college students.

Indexed as

Cognitive Behavioral TherapyInternet Addiction DisorderMindfulnessStudentsAdolescentAdultChinaCombined Modality TherapyFemaleHumansMaleSelf-ControlTreatment OutcomeUniversitiesYoung Adultcognitive behavioral therapyinternet addictionI-PACE modellatent profile analysismindfulness-based interventionnetwork analysis

Identifiers

PMID41071615
PMCPMC12767599

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LicenceCC BY-NC
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Registered trials

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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.