Evidence map›Paper›PMID 38764472›Full record

ArticleFrontiers in psychiatry2024

Prevalence, demographics and clinical characteristics of Internet addiction among Chinese adolescents with schizophrenia.

Yunhui Zhong, Yibo Li, Anquan Hu, Xiang-Yang Zhang

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Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yunhui ZhongThe Third People's Hospital of Ganzhou, Ganzhou, China.
Yibo LiDepartment of Psychiatry and Psychology, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Anquan HuThe Third People's Hospital of Ganzhou, Ganzhou, China.
Xiang-Yang ZhangThe Third People's Hospital of Ganzhou, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Several studies have reported that Internet addiction (IA) is more prevalent in the psychiatric disorder population. However, the prevalence of IA and its relationship with clinical variables among Chinese adolescents with schizophrenia is unclear. This study sought to investigate the prevalence of IA and its clinical correlates in Chinese adolescents with schizophrenia, which has not yet been reported. Methods: Seven hundred and six inpatient adolescents with schizophrenia were recruited. All patients underwent Young's Internet Addiction Test (IAT) to measure Internet addiction, as well as the Positive and Negative Syndrome Scale (PANSS) for psychopathology. Results: Our results showed that 186 patients had a total IAT score of 50 or more, bringing the prevalence of IA to 26.3%. Girls (21.7%, 92/424) were less likely to have combined IA than boys (33.3%, 94/282). Compared to those patients without IA, patients with IA had better socioeconomic status, higher probability of living in the city, higher levels of depressive symptoms, excited symptoms, and lower levels of concrete symptoms and PANSS total scores (all p<0.05). Further binary logistic regression analysis indicated that good socioeconomic status, living in the city and PANSS total scores were significantly associated with IA. In addition, correlation analysis showed significant correlations between IA total score and the following parameters: good socioeconomic status, living in the city, negative subscore, concrete subscore, depression subscore, excited subscore and PANSS total score (Bonferroni corrected all p <0.05). Conclusion: The results of this study indicate that the prevalence of IA in Chinese adolescents with schizophrenia is higher than that in the general population. Several demographic and clinical variables are risk factors for IA in adolescents with schizophrenia.

Indexed as

adolescentsChineseinternet addictionprevalenceschizophrenia

Identifiers

PMID38764472
PMCPMC11099280

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