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Peng Y, Huang H, Liao Y, Diao Y, Lin C, Liu Y, Xu C, Gao M, He Y, Yang G. Risk factors affecting the sleep quality of patients on dialysis: A single-center cross-sectional study. Medicine (Baltimore) 2024; 103:e37577. [PMID: 38552063 PMCID: PMC10977595 DOI: 10.1097/md.0000000000037577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 02/21/2024] [Indexed: 04/02/2024] Open
Abstract
Sleep quality is among the common complication in patients on dialysis and serious affect their health and quality of life; however, other associated risk factors are unclear. This study aimed to investigate the risk factors affecting sleep quality in patients on dialysis. Data were collected from 260 patients who met the inclusion criteria at out hospital from May 2023 to October 2023. Questionnaires were completed by patients, and biochemical indicators were obtained from past medical records. Univariate and multifactor analyses were used to find factors influencing sleep quality in patients on dialysis. Simple linear regression results showed that female, type of kidney primary disease, high systolic blood pressure (SBP), pruritus, pruritus frequency, restless legs syndrome (RLS), anxiety, and depression were associated with poor sleep quality. Blood biochemical parameters showed that low sodium and calcium levels and high ferritin levels were associated with poor sleep quality. Multiple linear regression statistics showed that female, pruritus, RLS, high SBP, depression, and high ferritin levels were associated with poor sleep quality. This study showed that female, chronic nephritis syndrome, high SBP, pruritus, RLS, low mood. and high ferritin levels were associated with poor sleep quality. Future development of individual nursing and targeted therapies is key to improving sleep quality in patients on dialysis.
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Affiliation(s)
- Yanmei Peng
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Huie Huang
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Yumei Liao
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Yuhan Diao
- Department of Medical Records & Statistics, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
- Intelligent Hospital Research Academy, Peking University Shenzhen Hospital, Shenzhen, China
| | - Chuangpeng Lin
- Department of Medical Records & Statistics, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
- Intelligent Hospital Research Academy, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yan Liu
- Department of Medical Records & Statistics, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
- Intelligent Hospital Research Academy, Peking University Shenzhen Hospital, Shenzhen, China
| | - Chunhua Xu
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Min Gao
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Yan He
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Guang Yang
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
- Shenzhen Clinical Research Center for Urology and Nephrology, Shenzhen, China
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Qu S, Wang M, Peng Y. Associations between residential environmental health and sleep quality: Potential mechanisms. Sleep Med 2023; 103:16-23. [PMID: 36731291 DOI: 10.1016/j.sleep.2023.01.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/08/2023] [Accepted: 01/13/2023] [Indexed: 01/21/2023]
Abstract
BACKGROUND Sleep quality is an important dimension of sleep health. There are few studies on the relationship between residential environment and sleep quality in China. We validated the connection between them and explored the moderating role of spatial-geographic characteristics and the role of emotional stress and somatic function as mediators. METHODS Using survey data collected by the Chinese General Social Survey in 2021, 2717 respondents were included in the analysis. First, OLS regression was used for baseline analysis. Second, a generalized ordered logit model was used to analyze the more precise correlations between residential environmental health and sleep quality. Finally, the mediating role of emotional stress and somatic function was explored using the KHB method. RESULTS In the baseline analysis, both the positive correlations of residential natural environmental health and residential health resources on people's sleep quality were tested. Further analysis revealed that the correlation of natural environmental health was more about protecting people from poor sleep quality (having "good" and "very good" sleep quality). The residential health resources correlated with whether people reported very good sleep quality. Regional development disparities played a negative moderating role in the relationship between residential health resources and sleep quality. Also, the mediating role of emotional stress and somatic function were supported, and the mediating role of somatic function was higher in proportion. CONCLUSION Sleep quality was positively correlated with residential environmental health; the economic development gap between regions played a moderating role; and the correlation was generated by people's emotional stress and somatic function. In the development of public health policy, it is necessary to actively address various environmental issues, provide convenient health facilities in living spaces, and bolster the policy inclinations of less developed areas.
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Affiliation(s)
- Shangyu Qu
- Department of Sociology, Huazhong University of Science and Technology, Wuhan, Hubei province, 430074, PR China
| | - Maofu Wang
- Department of Sociology, Huazhong University of Science and Technology, Wuhan, Hubei province, 430074, PR China
| | - Yuanchun Peng
- Department of Sociology, Central South University, Changsha, Hunan province, 410083, PR China.
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Amiri S, Behnezhad S. Depression symptoms and risk of sick leave: a systematic review and meta-analysis. Int Arch Occup Environ Health 2021; 94:1495-1512. [PMID: 33928429 DOI: 10.1007/s00420-021-01703-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Accepted: 02/19/2021] [Indexed: 01/24/2023]
Abstract
OBJECTIVES Depression symptoms are one of the most common psychiatric disorders and affect all aspects of life. The impact of depression symptoms on sick leave in the working population is a major issue that requires a more comprehensive examination. METHODS This systematic review used the PRISMA method to identify eligible studies (n = 15). Subsequently, the association between depression symptoms and sick leave was examined and several important subgroup analyses were performed. RESULTS Depression symptoms were associated with sick leave, with an overall risk ratio (RR) of 1.52 [95% confidence interval (95% CI) 1.34-1.73]. In men, the result displayed RR 2.19 (95% CI 1.17-4.09) and in women, the result showed RR 1.54 (95% CI 1.35-1.76). Additional subgroup analyses that account for methodological differences across studies based on the method of assessing depression symptoms and sick leave showed that this association was consistent. CONCLUSION Depression symptoms are associated with sick leave. Given that sick leave can have an economic and social burden, more attention to depression symptoms is necessary.
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Affiliation(s)
- Sohrab Amiri
- Medicine, Quran and Hadith Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran. .,Behavioral Sciences Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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