Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional Study
Abstract BackgroundCOVID-19 has not only resulted in acute health issues but also led to persistent symptoms known as long COVID, which have been linked to disruptions in sleep quality. ObjectiveThis study aims to investigate the associations between COVID-19, long...
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JMIR Publications
2024-12-01
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| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2024/1/e53522 |
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| author | Heng Shao Hui Chen Kewang Xu Quan Gan Meiling Chen Yanyu Zhao Shun Yu Yutong Kelly Li Lihua Chen Bibo Cai |
| author_facet | Heng Shao Hui Chen Kewang Xu Quan Gan Meiling Chen Yanyu Zhao Shun Yu Yutong Kelly Li Lihua Chen Bibo Cai |
| author_sort | Heng Shao |
| collection | DOAJ |
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Abstract
BackgroundCOVID-19 has not only resulted in acute health issues but also led to persistent symptoms known as long COVID, which have been linked to disruptions in sleep quality.
ObjectiveThis study aims to investigate the associations between COVID-19, long COVID, and sleep disturbances, focusing on demographic, socioeconomic, and psychological factors among a Chinese population.
MethodsThis cross-sectional study included 1062 participants from China. Demographic, socioeconomic, and clinical data were collected through web-based questionnaires. Participants were divided into 2 groups based on COVID-19 infection status: infected and noninfected. Within the infected group, participants were further categorized into those with long COVID and those without long COVID. Noninfected participants were included in the non–long COVID group for comparison. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while depression and anxiety were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7) scales, respectively. Multivariable linear regression was conducted to examine the associations between COVID-19, long COVID, and sleep quality, adjusting for demographic and psychosocial factors.
ResultsCOVID-19 infection was confirmed in 857 participants, with 273 of them developing long COVID. No significant sex disparities were observed in infection rates (PPPPPPPP
ConclusionsOur findings indicate that long COVID is strongly associated with significant sleep disturbances, while initial COVID-19 infection shows a more moderate association with sleep issues. Long COVID–related sleep disturbances were exacerbated by factors such as age, income, and chronic health conditions. The study highlights the need for targeted interventions that address the multifaceted impacts of long COVID on sleep, especially among vulnerable groups such as older adults and those with lower socioeconomic status. Future research should use longitudinal designs to better establish the temporal relationships and causal pathways between COVID-19 and sleep disturbances. |
| format | Article |
| id | doaj-art-c741331485ce495cadfd1ede3b0eafd0 |
| institution | DOAJ |
| issn | 2369-2960 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Public Health and Surveillance |
| spelling | doaj-art-c741331485ce495cadfd1ede3b0eafd02025-08-20T02:40:13ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602024-12-0110e53522e5352210.2196/53522Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional StudyHeng Shaohttp://orcid.org/0000-0003-4923-4628Hui Chenhttp://orcid.org/0009-0006-2172-8107Kewang Xuhttp://orcid.org/0009-0008-5023-0177Quan Ganhttp://orcid.org/0000-0001-7869-1348Meiling Chenhttp://orcid.org/0000-0003-1600-3428Yanyu Zhaohttp://orcid.org/0009-0002-4564-3811Shun Yuhttp://orcid.org/0009-0007-1814-4319Yutong Kelly Lihttp://orcid.org/0009-0002-9341-5493Lihua Chenhttp://orcid.org/0000-0002-3957-5499Bibo Caihttp://orcid.org/0009-0008-1817-4072 Abstract BackgroundCOVID-19 has not only resulted in acute health issues but also led to persistent symptoms known as long COVID, which have been linked to disruptions in sleep quality. ObjectiveThis study aims to investigate the associations between COVID-19, long COVID, and sleep disturbances, focusing on demographic, socioeconomic, and psychological factors among a Chinese population. MethodsThis cross-sectional study included 1062 participants from China. Demographic, socioeconomic, and clinical data were collected through web-based questionnaires. Participants were divided into 2 groups based on COVID-19 infection status: infected and noninfected. Within the infected group, participants were further categorized into those with long COVID and those without long COVID. Noninfected participants were included in the non–long COVID group for comparison. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while depression and anxiety were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7) scales, respectively. Multivariable linear regression was conducted to examine the associations between COVID-19, long COVID, and sleep quality, adjusting for demographic and psychosocial factors. ResultsCOVID-19 infection was confirmed in 857 participants, with 273 of them developing long COVID. No significant sex disparities were observed in infection rates (PPPPPPPP ConclusionsOur findings indicate that long COVID is strongly associated with significant sleep disturbances, while initial COVID-19 infection shows a more moderate association with sleep issues. Long COVID–related sleep disturbances were exacerbated by factors such as age, income, and chronic health conditions. The study highlights the need for targeted interventions that address the multifaceted impacts of long COVID on sleep, especially among vulnerable groups such as older adults and those with lower socioeconomic status. Future research should use longitudinal designs to better establish the temporal relationships and causal pathways between COVID-19 and sleep disturbances.https://publichealth.jmir.org/2024/1/e53522 |
| spellingShingle | Heng Shao Hui Chen Kewang Xu Quan Gan Meiling Chen Yanyu Zhao Shun Yu Yutong Kelly Li Lihua Chen Bibo Cai Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional Study JMIR Public Health and Surveillance |
| title | Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional Study |
| title_full | Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional Study |
| title_fullStr | Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional Study |
| title_full_unstemmed | Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional Study |
| title_short | Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional Study |
| title_sort | investigating the associations between covid 19 long covid and sleep disturbances cross sectional study |
| url | https://publichealth.jmir.org/2024/1/e53522 |
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