Poor Insight in Schizophrenia Patients in China: a Meta-Analysis of Observational Studies.

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Title: Poor Insight in Schizophrenia Patients in China: a Meta-Analysis of Observational Studies.
Authors: Li, Wen (AUTHOR), Zhang, Hong-He (AUTHOR), Wang, Yu (AUTHOR), Zhang, Ling (AUTHOR), Ungvari, Gabor S. (AUTHOR), Cheung, Teris (AUTHOR), Xiang, Yu-Tao (AUTHOR)
Source: Psychiatric Quarterly. Dec2020, Vol. 91 Issue 4, p1017-1031. 15p. 1 Diagram, 3 Charts, 1 Graph.
Subjects: People with schizophrenia, Chinese people, Social skills, Scientific observation, Meta-analysis
Geographic Terms: China
Abstract: Poor insight exists in all phases of schizophrenia and is associated with poor clinical prognosis and adverse psychosocial functioning. This is a meta-analysis examining the prevalence of poor insight and its correlates in Chinese patients with schizophrenia. Both major international (PubMed, EMBASE, PsycINFO, and Web of Science) and Chinese (WANFANG and CNKI) databases were systematically searched. The pooled prevalence of poor insight was calculated using the random-effects model. A total of 19 studies with 3112 schizophrenia patients were included. The prevalence of poor insight was 43.4% (95%CI: 36.0%–51.2%). Subgroup and meta-regression analyses revealed that the higher prevalence of poor insight was significantly associated with single-site design, smaller sample size, inpatient status, acute illness phase, higher male proportion, younger age, shorter duration of illness, lower study quality, and earlier publication year. Poor insight is common in Chinese schizophrenia patients. Considering the negative outcomes of poor insight, regular screening and effective psychosocial interventions should be delivered for this vulnerable population. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatric Quarterly is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Psychiatric+Quarterly%22">Psychiatric Quarterly</searchLink>. Dec2020, Vol. 91 Issue 4, p1017-1031. 15p. 1 Diagram, 3 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22People+with+schizophrenia%22">People with schizophrenia</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+people%22">Chinese people</searchLink><br /><searchLink fieldCode="DE" term="%22Social+skills%22">Social skills</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+observation%22">Scientific observation</searchLink><br /><searchLink fieldCode="DE" term="%22Meta-analysis%22">Meta-analysis</searchLink>
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  Data: Poor insight exists in all phases of schizophrenia and is associated with poor clinical prognosis and adverse psychosocial functioning. This is a meta-analysis examining the prevalence of poor insight and its correlates in Chinese patients with schizophrenia. Both major international (PubMed, EMBASE, PsycINFO, and Web of Science) and Chinese (WANFANG and CNKI) databases were systematically searched. The pooled prevalence of poor insight was calculated using the random-effects model. A total of 19 studies with 3112 schizophrenia patients were included. The prevalence of poor insight was 43.4% (95%CI: 36.0%–51.2%). Subgroup and meta-regression analyses revealed that the higher prevalence of poor insight was significantly associated with single-site design, smaller sample size, inpatient status, acute illness phase, higher male proportion, younger age, shorter duration of illness, lower study quality, and earlier publication year. Poor insight is common in Chinese schizophrenia patients. Considering the negative outcomes of poor insight, regular screening and effective psychosocial interventions should be delivered for this vulnerable population. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychiatric Quarterly is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2020
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