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10.1016/j.sleep.2020.05.023 http://scihub22266oqcxt.onion/10.1016/j.sleep.2020.05.023 32502844!7244440!32502844     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sleep+Med 2020 ; 72 (ä): 1-4 Nephropedia Template TP {{tp|p=32502844|t=2020. The evaluation of sleep disturbances for Chinese frontline medical workers under the outbreak of COVID-19 |pdf=|usr=}}{{32502844}} gab.com Text The evaluation of sleep disturbances for Chinese frontline medical workers under the outbreak of COVID-19 JO: Sleep Med http://www.kidney.de/pget.php?&tw=1&pmid=32502844 #FOAvip OBJECTIVE: To evaluate sleep disturbances of Chinese frontline medical workers (FMW) under the outbreak of coronavirus disease 2019 (COVID-19), and make a comparison with non-FMW. METHODS: The medical workers from multiple hospitals in Hubei Province, China, volunteered to participate in this cross-sectional study. An online questionnaire, including Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS) and Visual Analogue Scale (VAS), was used to evaluate sleep disturbances and mental status. Sleep disturbances were defined as PSQI>6 points or/and AIS>6 points. We compared the scores of PSQI, AIS, anxiety and depression VAS, as well as prevalence of sleep disturbances between FMW and non-FMW. RESULTS: A total of 1306 subjects (801 FMW and 505 non-FMW) were enrolled. Compared to non-FMW, FMW had significantly higher scores of PSQI (9.3 +/- 3.8 vs 7.5 +/- 3.7; P < 0.001; Cohen's d = 0.47), AIS (6.9 +/- 4.3 vs 5.3 +/- 3.8; P < 0.001; Cohen's d = 0.38), anxiety (4.9 +/- 2.7 vs 4.3 +/- 2.6; P < 0.001; Cohen's d = 0.22) and depression (4.1 +/- 2.5 vs 3.6 +/- 2.4; P = 0.001; Cohen's d = 0.21), as well as higher prevalence of sleep disturbances according to PSQI > 6 points (78.4% vs 61.0%; relative risk [RR] = 1.29; P < 0.001) and AIS > 6 points (51.7% vs 35.6%; RR = 1.45; P < 0.001). CONCLUSION: FMW have higher prevalence of sleep disturbances and worse sleep quality than non-FMW. Further interventions should be administrated for FMW, aiming to maintain their healthy condition and guarantee their professional performance in the battle against COVID-19. Twit Text FOAVip The evaluation of sleep disturbances for Chinese frontline medical workers under the outbreak of COVID-19 ????Sleep Med http://www.kidney.de/pget.php?&tw=1&pmid=32502844 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32502844 #FOAvip English Wikipedia <ref>{{Cite pmid|32502844}}</ref> The evaluation of sleep disturbances for Chinese frontline medical workers under the outbreak of COVID-19 #MMPMID32502844 Qi J; Xu J; Li BZ; Huang JS; Yang Y; Zhang ZT; Yao DA; Liu QH; Jia M; Gong DK; Ni XH; Zhang QM; Shang FR; Xiong N; Zhu CL; Wang T; Zhang X Sleep Med 2020[Aug]; 72 (ä): 1-4 PMID32502844show ga OBJECTIVE: To evaluate sleep disturbances of Chinese frontline medical workers (FMW) under the outbreak of coronavirus disease 2019 (COVID-19), and make a comparison with non-FMW. METHODS: The medical workers from multiple hospitals in Hubei Province, China, volunteered to participate in this cross-sectional study. An online questionnaire, including Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS) and Visual Analogue Scale (VAS), was used to evaluate sleep disturbances and mental status. Sleep disturbances were defined as PSQI>6 points or/and AIS>6 points. We compared the scores of PSQI, AIS, anxiety and depression VAS, as well as prevalence of sleep disturbances between FMW and non-FMW. RESULTS: A total of 1306 subjects (801 FMW and 505 non-FMW) were enrolled. Compared to non-FMW, FMW had significantly higher scores of PSQI (9.3 +/- 3.8 vs 7.5 +/- 3.7; P < 0.001; Cohen's d = 0.47), AIS (6.9 +/- 4.3 vs 5.3 +/- 3.8; P < 0.001; Cohen's d = 0.38), anxiety (4.9 +/- 2.7 vs 4.3 +/- 2.6; P < 0.001; Cohen's d = 0.22) and depression (4.1 +/- 2.5 vs 3.6 +/- 2.4; P = 0.001; Cohen's d = 0.21), as well as higher prevalence of sleep disturbances according to PSQI > 6 points (78.4% vs 61.0%; relative risk [RR] = 1.29; P < 0.001) and AIS > 6 points (51.7% vs 35.6%; RR = 1.45; P < 0.001). CONCLUSION: FMW have higher prevalence of sleep disturbances and worse sleep quality than non-FMW. Further interventions should be administrated for FMW, aiming to maintain their healthy condition and guarantee their professional performance in the battle against COVID-19. |Adult[MESH] |Anxiety/*epidemiology/psychology[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Case-Control Studies[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*epidemiology[MESH] |Cross-Sectional Studies[MESH] |Depression/*epidemiology/psychology[MESH] |Disease Outbreaks[MESH] |Female[MESH] |Health Personnel/psychology/*statistics & numerical data[MESH] |Humans[MESH] |Male[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |Prevalence[MESH] |SARS-CoV-2[MESH] |Sex Factors[MESH] |Sleep Initiation and Maintenance Disorders/*epidemiology/physiopathology/psychology[MESH] |Sleep Wake Disorders/epidemiology/physiopathology[MESH]The evaluation of sleep disturbances for Chinese frontline medical wor(epmc).pdf DeepDyve Pubget Overpricing