Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 Pandemic
Objective. COVID-19 has evolved into a major global public health event. The number of people reporting insomnia is growing exponentially during the pandemic. This study aimed to explore the relationship between aggravated insomnia and COVID-19-induced psychological impact on the public, lifestyle c...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-Wiley
2023-01-01
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| Series: | International Journal of Clinical Practice |
| Online Access: | http://dx.doi.org/10.1155/2023/6746045 |
| _version_ | 1797846506433150976 |
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| author | Hai-Tao Jin Fei Wang Wen Zhang Qi-Lin Liu Jing-Lan Zhang Miao Yu Zhen-Zhen Guo Wei Pan |
| author_facet | Hai-Tao Jin Fei Wang Wen Zhang Qi-Lin Liu Jing-Lan Zhang Miao Yu Zhen-Zhen Guo Wei Pan |
| author_sort | Hai-Tao Jin |
| collection | DOAJ |
| description | Objective. COVID-19 has evolved into a major global public health event. The number of people reporting insomnia is growing exponentially during the pandemic. This study aimed to explore the relationship between aggravated insomnia and COVID-19-induced psychological impact on the public, lifestyle changes, and anxiety about the future. Methods. In this cross-sectional study, we used the questionnaires from 400 subjects who were obtained from the Department of Encephalopathy of the Wuhan Hospital of Traditional Chinese Medicine between July 2020 and July 2021. The data collected for the study included demographic characteristics of the participants and psychological scales consisting of the Spiegel Sleep Questionnaire, the Fear of COVID-19 Scale (FCV-19S), the Zung Self-Rating Anxiety Scale (SAS), and the Zung Self-Rating Depression Scale (SDS). The independent sample t-test and one-way ANOVA were used to compare the results. Correlation analysis of variables affecting insomnia was performed using Pearson correlation analysis. The degree of influence of the variables on insomnia was determined using linear regression, and a regression equation was derived. Results. A total of 400 insomnia patients participated in the survey. The median age was 45.75 ± 15.04 years. The average score of the Spiegel Sleep Questionnaire was 17.29 ± 6.36, that of SAS was 52.47 ± 10.39, that of SDS was 65.89 ± 8.72, and that of FCV-19S was 16.09 ± 6.81. The scores of FCV-19S, SAS, and SDS were closely related to insomnia, and the influencing degree was in the following order: fear, depression, and anxiety (OR = 1.30, 0.709, and 0.63, respectively). Conclusion. Fear of COVID-19 can be one of the primary contributors to worsening insomnia. |
| first_indexed | 2024-04-09T17:56:06Z |
| format | Article |
| id | doaj.art-b338828a9df341c68a027aa2453499eb |
| institution | Directory Open Access Journal |
| issn | 1742-1241 |
| language | English |
| last_indexed | 2024-04-09T17:56:06Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi-Wiley |
| record_format | Article |
| series | International Journal of Clinical Practice |
| spelling | doaj.art-b338828a9df341c68a027aa2453499eb2023-04-15T00:00:05ZengHindawi-WileyInternational Journal of Clinical Practice1742-12412023-01-01202310.1155/2023/6746045Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 PandemicHai-Tao Jin0Fei Wang1Wen Zhang2Qi-Lin Liu3Jing-Lan Zhang4Miao Yu5Zhen-Zhen Guo6Wei Pan7Department of EncephalopathyDepartment of EncephalopathyDepartment of EncephalopathyDepartment of EncephalopathyDepartment of EncephalopathyClinical College of Traditional Chinese MedicineClinical College of Traditional Chinese MedicineDepartment of EncephalopathyObjective. COVID-19 has evolved into a major global public health event. The number of people reporting insomnia is growing exponentially during the pandemic. This study aimed to explore the relationship between aggravated insomnia and COVID-19-induced psychological impact on the public, lifestyle changes, and anxiety about the future. Methods. In this cross-sectional study, we used the questionnaires from 400 subjects who were obtained from the Department of Encephalopathy of the Wuhan Hospital of Traditional Chinese Medicine between July 2020 and July 2021. The data collected for the study included demographic characteristics of the participants and psychological scales consisting of the Spiegel Sleep Questionnaire, the Fear of COVID-19 Scale (FCV-19S), the Zung Self-Rating Anxiety Scale (SAS), and the Zung Self-Rating Depression Scale (SDS). The independent sample t-test and one-way ANOVA were used to compare the results. Correlation analysis of variables affecting insomnia was performed using Pearson correlation analysis. The degree of influence of the variables on insomnia was determined using linear regression, and a regression equation was derived. Results. A total of 400 insomnia patients participated in the survey. The median age was 45.75 ± 15.04 years. The average score of the Spiegel Sleep Questionnaire was 17.29 ± 6.36, that of SAS was 52.47 ± 10.39, that of SDS was 65.89 ± 8.72, and that of FCV-19S was 16.09 ± 6.81. The scores of FCV-19S, SAS, and SDS were closely related to insomnia, and the influencing degree was in the following order: fear, depression, and anxiety (OR = 1.30, 0.709, and 0.63, respectively). Conclusion. Fear of COVID-19 can be one of the primary contributors to worsening insomnia.http://dx.doi.org/10.1155/2023/6746045 |
| spellingShingle | Hai-Tao Jin Fei Wang Wen Zhang Qi-Lin Liu Jing-Lan Zhang Miao Yu Zhen-Zhen Guo Wei Pan Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 Pandemic International Journal of Clinical Practice |
| title | Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 Pandemic |
| title_full | Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 Pandemic |
| title_fullStr | Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 Pandemic |
| title_full_unstemmed | Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 Pandemic |
| title_short | Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 Pandemic |
| title_sort | linear regression analysis of sleep quality in people with insomnia in wuhan city during the covid 19 pandemic |
| url | http://dx.doi.org/10.1155/2023/6746045 |
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