Evidence map›Paper›PMID 41782009›Full record

ArticleBMC psychology2026

The effects of parental psychological control, Internet addiction, anxiety, and depression on online deviant behavior: a latent profile analysis.

Danping Wang, Qihui Hou, Jingkai Li, Chen Zhang

Abstract read
In one paragraph

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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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Danping WangSchool of Teacher Education, Ningxia University, Yinchuan, Ningxia, China.
Qihui HouSchool of Teacher Education, Ningxia University, Yinchuan, Ningxia, China.
Jingkai LiSchool of Teacher Education, Ningxia University, Yinchuan, Ningxia, China.
Chen ZhangSchool of Teacher Education, Ningxia University, Yinchuan, Ningxia, China. zhangchen_19883@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined how parental psychological control influences online deviant behavior and explored the mediating roles of Internet addiction, anxiety, and depression. A total of 876 adults (mean age = 23.04 ± 8.49 years; 616 women) participated in the study. Latent profile analysis identified subgroups of individuals based on perceptions of parental psychological control, Internet addiction, and emotional distress. Three distinct profiles emerged: a low negative-factor subgroup (31.8%), a medium subgroup (44.8%), and a high subgroup (23.5%). The three profiles differed significantly in levels of online deviant behavior, with higher negative factors associated with more deviant behavior. Males and only-child participants were more likely to belong to the high negative-factor subgroup compared with females and non–only-child participants. Internet addiction, anxiety, and depression jointly mediated the association between parental psychological control and online deviant behavior. In the low negative-factor subgroup, both direct and indirect effects were significant. In contrast, direct effects were non-significant in the medium and high subgroups, although indirect effects via Internet addiction and emotional distress remained significant. ConclusionParental psychological control presents in three distinct forms, each showing different patterns of association with online deviant behavior. Internet addiction and emotional distress were differentially related to these profiles and to online deviant behavior, suggesting that they may represent important correlates linking psychologically controlling parenting to maladaptive online behaviors. These findings contribute to a more nuanced understanding of heterogeneity in parental psychological control and its potential associations with adolescents’ online maladjustment.

Indexed as

AnxietyBehavior, AddictiveDepressionInternetInternet Addiction DisorderParent-Child RelationsParentingParentsAdolescentAdultDigital MediaFemaleHumansMalePsychological DistressYoung AdultAnxiety and depressionInternet addictionLatent profile analysisOnline deviant behaviorParental psychological control

Identifiers

PMID41782009
PMCPMC13069706

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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.