1.Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis
Guojia QI ; Ping YUAN ; Miao QI ; Xiuli HU ; Shangpeng SHI ; Xiuquan SHI
Safety and Health at Work 2022;13(3):269-278
Background:
PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the prevalence and important risk factors of PTSD among medical staff during the COVID-19.
Methods:
The databases were searched for studies published during the COVID-19, and a PRISMA (preferred reporting items for systematic review and meta-analysis) compliant systematic review (PROSPERO-CRD 42021278970) was carried out to identify articles from multiple databases reporting the prevalence of PTSD outcomes among medical staff. Proportion random effect analysis, I2 statistic, quality assessment, subgroup analysis, and sensitivity analysis were carried out.
Results:
A total of 28 cross-sectional studies and the PTSD results of doctors and nurses were summarized from 14 and 27 studies: the prevalences were 31% (95% CI [confidence interval, CI]: 21%–40%) and 38% (95% CI: 30%–45%) in doctors and nurses, respectively. The results also showed seven risks (p < 0.05): long working hours, isolation wards, COVID-19 symptoms, nurses, women, fear of infection, and pre-existing mental illness. Two factors were of borderline significance: higher professional titles and married.
Conclusion
Health care workers have a higher prevalence of PTSD during COVID-19. Health departments should provide targeted preventive measures for medical staff away from PTSD.Previous arti
2.Poor sleep quality contributes to occurrence of posttraumatic stress disorder in trauma patients
Ping YUAN ; Xiuli HU ; Guojia QI ; Xiu DAI ; Xiangyuan CHU ; Weihang CHEN ; Xiuquan SHI
Journal of Southern Medical University 2024;44(6):1166-1172
Objective To evaluate the impact of poor sleep quality on occurrence of post-traumatic stress disorder(PTSD)in trauma patients.Methods We prospectively recruited 256 trauma patients hospitalized in 4 general hospitals in Zunyi during the period from October,2021 to November,2022,and 226 of the participants completed the PTSD survey and assessment.The patients'sleep quality within a month before trauma was estimated using Pittsburgh Sleep Quality Index(PSQI),and their sleep quality within 7 days after admission was monitored by smart bracelet sleep monitoring;the PTSD Checklist-Civilian Version(PCL-C)was used to detect the occurrence of PTSD during the follow-up.Results The detection rate of PTSD in the patients was 19.47%at 1 month and 17.61%at 3 months after trauma.The patients who developed PTSD had poorer sleep quality before the trauma,as shown by significantly higher PSQI scale scores(P<0.001),than those without PTSD,and they showed a sleep abnormality rate as high as 72.73%prior to PTSD onset.Within 7 days after admission,the patients developing PTSD had lower sleep quality scores with more frequent night awakenings(P<0.05).A 1 month and 3 months after trauma,the patients with PTSD had significantly higher PSQI scores than those without PTSD(P<0.05).Conclusion PTSD is more likely to occur in trauma patients with poor sleep quality before trauma.
3.Poor sleep quality contributes to occurrence of posttraumatic stress disorder in trauma patients
Ping YUAN ; Xiuli HU ; Guojia QI ; Xiu DAI ; Xiangyuan CHU ; Weihang CHEN ; Xiuquan SHI
Journal of Southern Medical University 2024;44(6):1166-1172
Objective To evaluate the impact of poor sleep quality on occurrence of post-traumatic stress disorder(PTSD)in trauma patients.Methods We prospectively recruited 256 trauma patients hospitalized in 4 general hospitals in Zunyi during the period from October,2021 to November,2022,and 226 of the participants completed the PTSD survey and assessment.The patients'sleep quality within a month before trauma was estimated using Pittsburgh Sleep Quality Index(PSQI),and their sleep quality within 7 days after admission was monitored by smart bracelet sleep monitoring;the PTSD Checklist-Civilian Version(PCL-C)was used to detect the occurrence of PTSD during the follow-up.Results The detection rate of PTSD in the patients was 19.47%at 1 month and 17.61%at 3 months after trauma.The patients who developed PTSD had poorer sleep quality before the trauma,as shown by significantly higher PSQI scale scores(P<0.001),than those without PTSD,and they showed a sleep abnormality rate as high as 72.73%prior to PTSD onset.Within 7 days after admission,the patients developing PTSD had lower sleep quality scores with more frequent night awakenings(P<0.05).A 1 month and 3 months after trauma,the patients with PTSD had significantly higher PSQI scores than those without PTSD(P<0.05).Conclusion PTSD is more likely to occur in trauma patients with poor sleep quality before trauma.
5.Expert consensus on biomechanical research of dental implant.
Xue-Qi GAN ; Yu XIAO ; Rui-Yang MA ; Chun-Peng HUANG ; Yao WU ; Bang-Cheng YANG ; Qi YANG ; Chong-Yun BAO ; Hai-Yang YU
West China Journal of Stomatology 2019;37(2):115-123
Current biomechanical research of dental implants focuses on the mechanical damage and enhancement mechanism of the implant-abutment interface as well as how to obtain better mechanical strength and longer fatigue life of dental implants. The mechanical properties of implants can be comprehensively evaluated by strain gauge analysis, photo elastic stress analysis, digital image correlation, finite element analysis, implant bone bonding strength test, and measurement of mechanical properties. Finite element analysis is the most common method for evaluating stress distribution in dental implants, and static pressure and fatigue tests are commonly used in mechanical strength test. This article reviews biomechanical research methods and evaluation indices of dental implants. Results provide methodology guidelines in the field of biomechanics by introducing principles, ranges of application, advantages, and limitations, thereby benefitting researchers in selecting suitable methods. The influencing factors of the experimental results are presented and discussed to provide implant design ideas for researchers.
Biomechanical Phenomena
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Computer Simulation
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Consensus
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Dental Abutments
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Dental Implant-Abutment Design
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Dental Implants
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Dental Prosthesis Design
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Dental Stress Analysis
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Finite Element Analysis
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Stress, Mechanical