Objective To assess the impact of long working hours on sleep disorders among manufacturing workers and explore the roles of alcohol consumption and mental health factors(anxiety and depressive symptoms)in this association.Methods A cross-sectional study design was used to survey 1 336 manufacturing workers in Shenzhen.We collected the data of their demographic characteristics,work-related factors,personal behaviors,sleep disorders,and mental health status.Multivariate Logistic regression analysis was used to assess the association between long working hours and sleep disorders.Stratified analysis and mediation effect models were applied to examine the effect modification by alcohol consumption and the mediating role of mental health factors,respectively.Results Among the study samples,31.8％reported long working hours and 45.6％had sleep disorders.Multivariate Logistic regression analysis showed that long working hours significantly increased the risk of sleep disorders(adjusted OR=2.073,95％ CI:1.478-2.907,P＜0.001).Stratified analysis revealed that the association between long working hours and sleep disorders was more pronounced among alcohol consumers(adjusted OR=2.556,95％ CI:1.432-4.562,P=0.001).Mediation effect analysis showed that anxiety and depressive symptoms partially mediated the relationship between long working hours and sleep disorders,with indirect effects accounting for 25.71％ and 27.14％,respectively.Conclusion Long working hours increase the risk of sleep disorders among manufacturing workers,particularly among those who consume alcohol.Anxiety and depressive symptoms partially explain the association between long working hours and sleep disorders.

Objective To assess the impact of long working hours on sleep disorders among manufacturing workers and explore the roles of alcohol consumption and mental health factors(anxiety and depressive symptoms)in this association.Methods A cross-sectional study design was used to survey 1 336 manufacturing workers in Shenzhen.We collected the data of their demographic characteristics,work-related factors,personal behaviors,sleep disorders,and mental health status.Multivariate Logistic regression analysis was used to assess the association between long working hours and sleep disorders.Stratified analysis and mediation effect models were applied to examine the effect modification by alcohol consumption and the mediating role of mental health factors,respectively.Results Among the study samples,31.8％reported long working hours and 45.6％had sleep disorders.Multivariate Logistic regression analysis showed that long working hours significantly increased the risk of sleep disorders(adjusted OR=2.073,95％ CI:1.478-2.907,P＜0.001).Stratified analysis revealed that the association between long working hours and sleep disorders was more pronounced among alcohol consumers(adjusted OR=2.556,95％ CI:1.432-4.562,P=0.001).Mediation effect analysis showed that anxiety and depressive symptoms partially mediated the relationship between long working hours and sleep disorders,with indirect effects accounting for 25.71％ and 27.14％,respectively.Conclusion Long working hours increase the risk of sleep disorders among manufacturing workers,particularly among those who consume alcohol.Anxiety and depressive symptoms partially explain the association between long working hours and sleep disorders.

Objective To evaluate the feasibility of secondary transplantation for patients with acute leukemia after failure of the first haploidentical hematopoietic stem cell transplantation. Methods Two acute leukemia patients underwent the first haploidentical hematopoietic stem cell transplantation from two donors with thalassemia, and the number of collected CD34⁺ cells was 2.57×10⁶/kg and 1.99×10⁶/kg per donor, respectively. The first haploidentical hematopoietic stem cell transplantation failed. Secondary transplantation was performed from two non-thalassemia donors, and the number of collected CD34⁺ cells was 4.28×10⁶/kg and 5.75×10⁶/kg per donor, respectively. A reduced-intensity conditioning regimen consisting of fludarabine (Flu), busulfan (Bu) and antithymocyte globulin (ATG) was adopted for the secondary transplantation. Results For two recipients, the time of secondary transplantation of neutrophil and platelet was +12 d and +10 d, +10 d and +10 d, respectively. Up to the final follow-up (+1 062 d and +265 d after secondary transplantation), the primary diseases of both two recipients have been completely relieved without evident post-transplantation complications. Conclusions Secondary transplantation with reduced-intensity conditioning regimen may successfully treat acute leukemia after failure of the first haploidentical hematopoietic stem cell transplantation.

Objective: To analyze the information about coronavirus disease 2019 (COVID-19) on WeChat official accounts of centers for disease control and prevention (CDCs) in Zhejiang Province from January 20 to February 5,2020,so as to provide reference for improving the effects of health communication by WeChat official accounts. Methods: The number,content and pageview of the information about COVID-19 on WeChat official accounts of one provincial and eleven municipal CDCs from January 20 to February 5 were collected and analyzed. The number of new followers and WeChat communication power index (WCI) were employed to evaluate the communication effect. Results: By February 5,those WeChat public official accounts pushed 629 pieces of information about COVID-19. The pageviews were 3 713 428 in total and 5 903.70 on average. There were totally 633 008 followers,including 110 341 new followers which contributed to a growth rate of 21.11%. The average WCI was 677.81. The WCIs of eight official accounts were higher than 500,with “Zhejiang Health Education” the highest (1 021.95). The daily pageviews peaked on January 20,21,25 and 31. Among the top 15 pieces of information in pageviews,there were 7 pieces for epidemic announcements,3 pieces for popular science and 5 pieces for behavioral intervention. Conclusions The WeChat official accounts of CDCs in Zhejiang Province pushed the information about COVID-19 in line with the progress of the epidemic and the demand of the public,leading to a higher attention and better communication effect.

Objective To investigate the correlations of serum prealbumin and albumin with the shortterm outcome in patients with acute cerebral infarction in different age groups.Methods Patients with acute ischemic stroke admitted to hospital with 48 h were prospectively enrolled in the study.The modified Rankin Scale was used to assess the functional outcomes at 14 d after onset,0-2 was defined as a good outcome.According to the age of the patients,they were divided into either a young and middle-aged group (＜ 60 years) or an elderly group (≥60 years).The demography,baseline clinical data and laboratory findings of the patients were compared in the overall patients and the different age groups between the good outcome group and the poor outcome group.Multivariate logistic regression analysis was used to determine the independent influencing factors of short-term outcomes.Results A total of 622 patients with acute ischemic stroke were enrolled,including 402 (64.6％) males and 220 (35.4％) females;206 (33.1％) were in the young and middle-aged group,and 416 (66.9％) were in the elderly group;310 (49.8％) had good outcomes and 312 (50.2％) had poor outcomes.There were significant differences in the proportions of patients in male,old people,hyperlipidemia,diabetes mellitus,history of previous stroke or transient ischemic attack (TIA),as well as age,body mass index,levels of prealbumin,albumin,triglyceride,high-density lipoprotein cholesterol low-density lipoprotein cholesterol total bilirubin,direct bilirubin,indirect bilirubin,urea nitrogen,and uric acid between the good outcome group and the poor outcome group (all P ＜0.05).Multivariate logistic regression analysis showed that the female (odds ratio [OR] 1.522,95％ confidence interval [CI] 1.023-2.266;P =0.038),diabetes (OR 1.789,95％ CI 1.171-2.735;P =0.007) and higher low-density lipoprotein cholesterol (OR 1.251,95％ CI 1.017-1.539;P =0.034),total bilirubin (OR 1.054,95％ CI 1.029-1.081;P＜0.001),urea nitrogen (OR 1.245,95％ CI 1.100-1.409;P=0.001),and baseline National Institutes of Health Stroke Scale (NIHSS) score (OR 2.854,95％ CI 1.027-3.628;P =0.019) were the independent risk factors for poor outcomes,and higher prealbumin (OR 0.798 95％ CI 0.633-0.979;P =0.034) and albumin (OR 0.741,95％ CI 0.693-0.988;P =0.020) were the independent predictors of good outcomes.In the young and middle-aged patients,there were significant differences in the proportions of patients with small artery occlusion as well as age,triglyceride,and high-density lipoprotein cholesterol levels between the good outcome group and the poor outcome group (all P ＜0.05);multivariate logistic regression analysis showed that diabetes (OR 2.343 95％ CI 1.127-4.871;P=0.023) and higher baseline NIHSS scores (OR 2.041,95％ CI 1.304-4.125;P =0.027) were the independent risk factors for poor outcome,and higher high-density lipoprotein cholesterol (OR 0.742 95％ CI 0.639-0.937;P =0.044)was an independent predictor for good outcome.In the elderly patients,there were significant differences in the proportions of patients in male,previous stroke or TIA,and cardiogenic embolism,as well as prealbumin,low-density lipoprotein cholesterol,total bilirubin,direct bilirubin,indirect bilirubin,and uric acid levels between the good outcome group and the poor outcome group (all P ＜ 0.05);multivariate logistic regression the analysis showed that diabetes (OR 2.797,95％ CI 1.153-4.756;P =0.039),higher baseline NIHSS score (OR 2.586,95％ CI 1.033-3.435;P =0.035) and higher low-density lipoprotein cholesterol (OR 1.304,95％ CI 1.027-1.656;P =0.029) were the independent risk factors for poor outcome,and higher prealbumin was an independent predictor for good outcome (OR 0.795,95％ CI 0.691-0.998;P =0.002).Conclusions Prealbumin and albumin are the independent predictors for short-term good outcome in patients with acute ischemic stroke.The protective effect of serum prealbumin is more obvious in the elderly population (≥60 years).