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Yuan MZ, Fang Q. Latent class analysis of the sleep quality of night shift nurses and impact of shift-related factors on the occupational stress and anxiety. J Adv Nurs 2024. [PMID: 38235926 DOI: 10.1111/jan.16067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/20/2023] [Accepted: 01/05/2024] [Indexed: 01/19/2024]
Abstract
AIMS The objective of this study is to explore the various latent categories within the sleep quality of night shift nurses and to investigate whether shift-related factors predispose nurses to higher levels of occupational stress and anxiety. DESIGN This is a cross-sectional study. METHODS From November to December 2020, registered nurses from 18 tertiary hospitals and 16 secondary hospitals in Chongqing were selected through convenience sampling for this study. Latent class analysis was used to investigate the sleep quality of nurses working night shifts. Furthermore, univariate analysis and logistic multivariate analysis were utilized to identify the contributing factors to occupational stress and anxiety. RESULTS The four latent categories of Pittsburgh Sleep Quality Index for night shift nurses were identified as 'Low Sleep Disorder Group' (56.34%), 'Moderate Sleep Disorder Group' (37.27%), 'High Sleep Disorder Non-Reliant on Sleeping medication Group' (4.89%) and 'High Sleep Disorder Reliant on Sleeping medication Group' (1.50%). The results showed that having a night-shift frequency of 3-4 times per month, night-shift durations of 9-12 h, sleep time delay after night shift (≥2 h), total sleep time after night shift less than 4 h were shift-related factors that increased the levels of occupational stress and anxiety. CONCLUSION The sleep quality of night shift nurses demonstrates heterogeneity and can be classified into four latent categories. Higher frequency of night shifts, extended work hours and insufficient rest time are all associated with increased levels of occupational stress and anxiety. IMPACT By identifying the four latent categories of sleep quality among night shift nurses, this study sheds light on the relationship between sleep patterns and levels of occupational stress and anxiety. These findings have important implications for healthcare institutions in the management of nurse well-being and work schedules. PATIENT OR PUBLIC CONTRIBUTION No patient or public contribution.
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Affiliation(s)
- Mei-Zhen Yuan
- Department of Cardiovascular Medicine, The First Affiliated Hospital, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qin Fang
- Department of Cardiovascular Medicine, The First Affiliated Hospital, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Liu JH, Wang Q, Li SF, Deng GD, Li L, Ma J, Yuan MZ, Jiao YH, Lu H. [Clinical characteristics and surgical outcomes of pediatric epiretinal membranes without specific etiologies]. Zhonghua Yan Ke Za Zhi 2024; 60:43-48. [PMID: 38199767 DOI: 10.3760/cma.j.cn112142-20231014-00141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
Objective: To describe clinical characteristics and surgical outcomes of pediatric epiretinal membranes (ERMs) without specific etiologies. Methods: Medical data of a cohort of pediatric patients (≤14 years) who had ERMs without specific etiologies, underwent surgical removal from January 2019 to September 2021, and were followed up for at least 12 months were retrospectively reviewed. Age at presentation, chief complaints, color fundus photographs, optical coherence tomographic images, preoperative and postoperative visual acuities, anatomical changes, and postoperative complications were assessed. Results: There were 14 patients (17 eyes), including 5 females (6 eyes) and 9 males (11 eyes). The mean age at surgery was 6.31±2.91 years, and the follow-up duration was 17.3±9.5 months. Eight patients were found to have low vision in the school physical examination. Fifteen eyes had an appearance of cellophane macular reflex on fundus images. On optical coherence tomographic images, 10 eyes had"taco"folds, and 7 eyes had"ripple"folds. Five eyes had ellipsoid zone disruptions, while 12 eyes had ellipsoid zone integrity. The preoperative and postoperative best-corrected visual acuities in logMAR were 0.532±0.302 and 0.340±0.298. One patient suffered traumatic cataract and secondary retinal detachment postoperatively, and after further vitrectomy, the retina became attached. Conclusion: Pediatric ERMs without specific etiologies were mostly found in school-age children with cellophane macular reflex and"taco"folds. Vitrectomy may result in both potential visual acuity and macular anatomical improvements.
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Affiliation(s)
- J H Liu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Q Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - S F Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - G D Deng
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - J Ma
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - M Z Yuan
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Y H Jiao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - H Lu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
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Cheng C, Chen SY, Geng J, Zhu PY, Liang RN, Yuan MZ, Wang B, Jin YF, Zhang RG, Zhang WD, Yang HY, Duan GC. [Preliminary analysis on COVID-19 case spectrum and spread intensity in different provinces in China except Hubei province]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1601-1605. [PMID: 33297615 DOI: 10.3760/cma.j.cn112338-20200314-00347] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the characteristics of COVID-19 case spectrum and spread intensity in different provinces in China except Hubei province. Methods: The daily incidence data and case information of COVID-19 were collected from the official websites of provincial and municipal health commissions. The morbidity rate, severity rate, case-fatality rate, and spread ratio of COVID-19 were calculated. Results: As of 20 March, 2020, a total of 12 941 cases of COVID-19 had been conformed, including 116 deaths, and the average morbidity rate, severity rate and case-fatality rate were 0.97/100 000, 13.5% and 0.90%, respectively. The morbidity rates in Zhejiang (2.12/100 000), Jiangxi (2.01/100 000) and Beijing (1.93/100 000) ranked top three. The characteristics of COVID-19 case spectrum varied from province to province. The first three provinces (autonomous region, municipality) with high severity rates were Tianjin (45.6%), Xinjiang (35.5%) and Heilongjiang (29.5%). The case-fatality rate was highest in Xinjiang (3.95%), followed by Hainan (3.57%) and Heilongjiang (2.70%). The average spread ratio was 0.98 and the spread intensity varied from province to province. Tibet had the lowest spread ratio (0), followed by Qinghai (0.20) and Guangdong (0.23). Conclusion: The intervention measures were effective in preventing the spread of COVID-19 and improved treatment effect in China. However, there were significant differences among different regions in severity, case-fatality rate and spread ratio.
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Affiliation(s)
- C Cheng
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - S Y Chen
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - J Geng
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - P Y Zhu
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - R N Liang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - M Z Yuan
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - B Wang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Y F Jin
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - R G Zhang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - W D Zhang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - H Y Yang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - G C Duan
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
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Yuan MZ, Li F, Fang Q, Wang W, Peng JJ, Qin DY, Wang XF, Liu GW. Research on the cause of death for severe stroke patients. J Clin Nurs 2017; 27:450-460. [PMID: 28677276 DOI: 10.1111/jocn.13954] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2017] [Indexed: 11/30/2022]
Abstract
AIMS AND OBJECTIVES To explore the characteristics of mortality among severe stroke patients, analyse their causes of death and provide evidence for improving the survival rate of stroke patients. BACKGROUND Stroke is an important fatal and disabling disease that poses a large burden on its patients, and its high death rates have caused substantial concern to the World Health Organization. DESIGN A retrospective case-control study. METHODS A total of 188 patients who died of stroke in the neurological intensive care unit of the First Affiliated Hospital of Chongqing Medical University from January 2012-December 2015 were selected as cases. Additionally, 188 stroke survivors from the same neurological intensive care unit were randomly selected as paired cases. The clinical characteristics of the severe stroke patient deaths were analysed, and a univariate analysis was conducted to determine potential mortality risk factors. A logistic regression analysis was then conducted to determine the independent risk factors of mortality. RESULTS We investigated a total of 231 cases of death in neurological intensive care unit patients, 188 of whom died of stroke. Therefore, the death rate from stroke accounted for 81.3% of the total population, with ischaemic, haemorrhagic and mixed strokes accounting for 47.19%, 26.84% and 7.36% of the patients, respectively. The leading cause of death was central nervous system-related causes (central respiratory and circulatory failure, brain herniation), followed by multisystemic causes. The independent risk factors of death among the neurological intensive care unit patients were as follows: brain herniation (OR = 18.15), multiple organ failure (OR = 13.12), dyslipidemia (OR = 4.64), community-acquired lung infection (OR = 4.15), use of mechanical ventilation (OR = 3.37), hypoproteinemia (OR = 2.29), history of hypertension (OR = 2.03) and hospital-acquired pneumonia (OR = 1.75). CONCLUSIONS The most common cause of death in stroke patients was damage to the central nervous system. Independent risk factors were brain herniation, multiple organ failure, dyslipidemia, community-acquired lung infection, the use of mechanical ventilation, hypoproteinemia, a history of hypertension and hospital-acquired pneumonia. Clinicians should be aware of the presence and possible effects of these conditions. Early prevention, monitoring and intervention to modify controllable risk factors will improve patient prognosis. RELEVANCE TO CLINICAL PRACTICE Clinicians should be aware of the multiple independent risk factors of death and implement timely treatment measures to reduce the incidence of death in severe stroke patients.
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Affiliation(s)
- Mei-Zhen Yuan
- The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Feng Li
- Department of Neurology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Qin Fang
- The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Wei Wang
- Department of Neurology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Jing-Jing Peng
- The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - De-Yu Qin
- The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Xue-Feng Wang
- Department of Neurology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Guang-Wei Liu
- Department of Neurology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
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