The Prevalence of Sleep Disturbance and Its Socio‐demographic and Clinical Correlates in First‐episode Individuals With Schizophrenia in Rural China.
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| Title: | The Prevalence of Sleep Disturbance and Its Socio‐demographic and Clinical Correlates in First‐episode Individuals With Schizophrenia in Rural China. |
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| Authors: | Ma, Xin‐Rong, Song, Guang‐Rong, Xu, Xue‐Bing, Tian, Tao, Chang, Shao‐Hua |
| Source: | Perspectives in Psychiatric Care. Jan2018, Vol. 54 Issue 1, p31-38. 8p. 4 Charts. |
| Subjects: | Anxiety, Chi-squared test, Mental depression, Hamilton Depression Inventory, Interviewing, Psychological tests, Regression analysis, Research funding, Rural conditions, Statistical sampling, Schizophrenia, Sleep disorders, Statistics, Surveys, T-test (Statistics), Data analysis, Socioeconomic factors, Educational attainment, Cross-sectional method, Data analysis software, Mann Whitney U Test |
| Geographic Terms: | China |
| Abstract: | PURPOSE: This study aimed to determine the prevalence and the socio‐demographic and clinical correlates of sleep disturbance in first‐episode individuals with schizophrenia in rural China and the factors that impact sleep among individuals with schizophrenia. DESIGN AND METHODS: A total of 104 first‐episode individuals with schizophrenia were randomly selected in rural areas in Ningxia, China, in 2015 as the study sample. FINDINGS: In first‐episode individuals with schizophrenia, the prevalence of sleep disturbance was 78.8% (82/104). Sleep disturbance was significantly associated with economic status, living situation, educational level, depressive symptoms, and anxiety symptoms. PRACTICE IMPLICATIONS: Sleep disturbance is common in first‐episode individuals with schizophrenia in rural China and more attention should be paid in clinical practice to improve the sleep quality for individuals with schizophrenia. [ABSTRACT FROM AUTHOR] |
| Copyright of Perspectives in Psychiatric Care is the property of Wiley-Blackwell 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.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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