Evidence map›Paper›PMID 35360625›Full record

ArticleFrontiers in psychology2022

Social Withdrawal (Hikikomori) Conditions in China: A Cross-Sectional Online Survey.

Xinyue Hu, Danhua Fan, Yang Shao

Abstract read
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Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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3 · Its place in the literature

Who cites it

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

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  11. Psychometric Properties of the Italian Version of the 25-Item Hikikomori Questionnaire.International journal of environmental research and public health · 2022
    Article
4 · The record

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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.

Xinyue HuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Danhua FanShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yang ShaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A form of pathological social withdrawal which is also called hikikomori has been proved its existence in China. But the prevalence and characteristics of hikikomori in China remain unknown. Past studies had investigated the hikikomori phenomenon in three cities of China. The purpose of this study is to discover the prevalence of hikikomori in a convenient online sample in China as well as the difference in demographic characteristics and other possible traits between hikikomori sufferers and the general population. Methods: A total of 1,066 youths (mean age = 22.85 years) in China completed the online questionnaire, which consisted of questions about demographics, the 25-item Hikikomori Questionnaire (HQ-25), the Internet Addiction Test (IAT), the Loneliness Scale (UCLA), and the General Health Questionnaire (GHQ). SPSS is used to evaluate the data. Results: Of the 1,066 youths, 980 (91.9%) were identified as belonging to group A (be not social isolation nor withdrawn), 46 (4.3%) to group B (marked social isolation in one's home or withdrawn with a duration of at least 3 months), and 40 (3.8%) to group C (marked both social isolation in one's home and withdrawn with a duration of at least 3 months). The hikikomori group (combined group B and group C) accounted for 8.1%. The present data suggest that residence and loneliness are related to the occurrence of hikikomori. HQ-25 score of the hikikomori group was significantly higher than the comparison group. The UCLA score showed that those in the hikikomori group felt lonelier than those in the comparison. The regression model predicted hikikomori risk (χ Conclusion: The grouping criterion in our present study is reasonable and such a grouping criterion can screen out potential populations of hikikomori. When people develop into hikikomori sufferers in the present, their social withdrawal behaviors and feeling of loneliness are both much more severe than in the past. The possible relationships between hikikomori and loneliness reflect the need to give the youths more social support, to help them connect with society.

Indexed as

Chinadiagnosishikikomorionline surveysocial withdrawal

Identifiers

PMID35360625
PMCPMC8963962

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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.