Evidence map›Paper›PMID 40852141›Full record

ArticleFrontiers in psychiatry2025

Pathological and non-pathological hikikomori: social media use, digital engagement, and therapeutic implications.

Jeff Gavin, Mark Brosnan, Richard Joiner

Abstract read
In one paragraph

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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Review
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

3 authors.

Jeff GavinDepartment of Psychology, University of Bath, Bath, United Kingdom.
Mark BrosnanDepartment of Psychology, University of Bath, Bath, United Kingdom.
Richard JoinerDepartment of Psychology, University of Bath, Bath, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hikikomori is traditionally defined as a form of pathological social withdrawal marked by extreme social isolation in one's home, leading to significant functional impairment or distress. However, shifts in working and study habits since COVID-19 have introduced the concept of 'non-pathological hikikomori' to describe individuals who are isolated in their homes but do not experience functional impairment or distress. Hikikomori are frequent users of the internet and social media, which raises interesting questions regarding the relationship between social withdrawal and physical withdrawal. This study examined whether social media use differs by hikikomori status (pathological vs. non-pathological) and phase (early [<3 months], pre- [3-6 months], full [6+ months]). Method: A cross-sectional study recruited 1,420 self-identified frequent internet users (aged 18-25) via Prolific, who completed a questionnaire on their social media activity (time spent; type of communication), hikikomori status (pathological/non-pathological), and phase (early/pre/full). Of these, 1,235 identified as hikikomori (Mage = 21.5, SD = 2.2; females = 661, males = 572, undisclosed = 2). Within this group, 455 were classified as pathological hikikomori (early = 113, pre = 151, full = 191), while 780 were non-pathological (early = 179, pre = 201, full = 400). Results: Pathological hikikomori used significantly more social media platforms than non-pathological hikikomori (4.16 vs 3.84: F(1,1224)=20.05, p<.001, ηp²=.016). In terms of phase, full hikikomori (3.82) used fewer social media platforms than early (4.01) and pre (4.13) hikikomori, (F(2,1224)=7.19, p<.001, ηp²=.012: early and pre hikikomori did not differ from each other). The interaction between pathological status and phase was not significant [F(2,1224)=1.28, p=.278, ηp²=.002]. Social media platforms were not used for more time by pathological compared to non-pathological hikikomori, but there were differences in how the social media platforms were used. Regarding communication style, across all phases, pathological hikikomori consistently engaged with others via TikTok and YouTube significantly more than non-pathological hikikomori. Using TikTok and YouTube, Pathological hikikomori sent more messages [F(1,958)=8.77, p=.003, ηp²=.009; F(1,1161)=21.50, p<.001, ηp²=.018; respectively] and received more messages [F(1,958)=13.15, p<.001, ηp²=.014; F(1,1161)=21.37, p<.001, ηp²=.018; respectively], had more targeted messages [F(1,958)=8.49, p=.004, ηp²=.009; F(1,1161)=20.77, p<.001, ηp²=.018; respectively], had more stylised messages [F(1,958)=13.60, p<.001, ηp²=.014; F(1,1161)=24.13, p<.001, ηp²=.020; respectively] and had more broadcast messages [F(1,958)=7.58, p=.006, ηp²=.008; F(1,1161)=13.22, p<.001, ηp²=.011; respectively] than non-pathological hikikomori. Conclusion: These findings suggest a complex relationship between social media use and social withdrawal. Future research should explore whether communication through YouTube and TikTok is linked to social isolation and whether these platforms could serve as intervention tools to support pathological hikikomori. Importantly, as the sample consisted of self-identified frequent internet users, generalizability to the broader population of hikikomori should be treated with caution.

Indexed as

hikikomorinon-pathologicalpathologicalsocial isolationsocial mediasocial withdrawal

Identifiers

PMID40852141
PMCPMC12367765

What OpenQuestion holds

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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.