Background Long working hours are a risk factor for occupational health, particularly in labor-intensive sectors such as manufacturing. Prolonged working hours may have adverse effects on the sleep and mental health of employees. Objective To investigate the impact of long working hours on insomnia, anxiety, and depression symptoms among manufacturing industry employees and provide scientific evidence for relevant occupational health interventions. Methods A cross-sectional study was conducted involving 1524 employees from eight manufacturing enterprises in Shenzhen. Data were collected using a structured questionnaire, which included demographic characteristics, work conditions (e.g., years of employment, job type, shift work, night shifts, weekly working hours), personal behaviors (e.g., smoking and drinking habits), and the occurrence of insomnia (by the Athens Insomnia Scale), anxiety (by the Generalized Anxiety Disorder Scale), and depression (by the Patient Health Questionnaire). Participants were classified into two groups based on working hours: long working hours (≥55 h per week) and normal working hours (35-40 h per week). Binary logistic regression was used to analyze the association between long working hours and the occurrences of insomnia, anxiety, and depression symptoms. Results A total of 1491 manufacturing industry employees were included in the study (response rate: 97.8%). The sample consisted of 54.19% males and 45.81% females, with the largest proportion was those aged 40-49 years (45.48%). The proportion of workers with long working hours in the total population was 31.52%, with the highest proportion among production and technical employees (36.49%). The prevalence of insomnia, anxiety, and depression symptoms was 56.2%, 26.6%, and 23.8%, respectively in the long working hours group, significantly higher than those in the normal working hours group (P<0.05). After adjusting for potential confounders, the logistic regression analysis showed that long working hours were significantly associated with increased risks of insomnia (OR=2.16, 95%CI: 1.60, 2.91), anxiety (OR=1.94, 95%CI: 1.34, 2.81), and depression symptoms (OR=1.62, 95%CI: 1.11, 2.38) compared to normal working hours. Conclusion Long working hours significantly increase the risks of insomnia, anxiety, and depression symptoms among manufacturing industry employees. It is recommended that measures should be implemented to limit working hours, increase rest periods, and provide occupational health education and psychological support to improve the sleep and mental health of employees.

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.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Objective: To evaluate the efficacy of a self-developed mobile augmented reality navigation system (MARNS) in guiding spinal level positioning during intraspinal tumor surgery based on a dual-error theory. Methods: This retrospective study enrolled patients diagnosed with intraspinal tumors admitted to Fujian Provincial Hospital between May and November 2023. The participants were divided into conventional x-rays and self-developed MARNS groups according to the localization methods they received. Position time, length of intraoperative incision variation, and location accuracy were systematically compared. Results: A total of 41 patients (19 males) with intraspinal tumors were included, and MARNS was applied to 21 patients. MARNS achieved successful lesion localization in all patients with an error of 0.38±0.12 cm. Compared to x-rays, MARNS significantly reduced positioning time (129.00±13.03 seconds vs. 365.00±60.43 seconds, p<0.001) and length of intraoperative incision variation (0.14 cm vs. 0.67 cm, p=0.009). Conclusion The self-developed MARNS, based on augmented reality technology for lesion visualization and perpendicular projection, offers a radiation-free complement to conventional x-rays.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Objective: To evaluate the efficacy of a self-developed mobile augmented reality navigation system (MARNS) in guiding spinal level positioning during intraspinal tumor surgery based on a dual-error theory. Methods: This retrospective study enrolled patients diagnosed with intraspinal tumors admitted to Fujian Provincial Hospital between May and November 2023. The participants were divided into conventional x-rays and self-developed MARNS groups according to the localization methods they received. Position time, length of intraoperative incision variation, and location accuracy were systematically compared. Results: A total of 41 patients (19 males) with intraspinal tumors were included, and MARNS was applied to 21 patients. MARNS achieved successful lesion localization in all patients with an error of 0.38±0.12 cm. Compared to x-rays, MARNS significantly reduced positioning time (129.00±13.03 seconds vs. 365.00±60.43 seconds, p<0.001) and length of intraoperative incision variation (0.14 cm vs. 0.67 cm, p=0.009). Conclusion The self-developed MARNS, based on augmented reality technology for lesion visualization and perpendicular projection, offers a radiation-free complement to conventional x-rays.

Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.

Objective: To evaluate the efficacy of a self-developed mobile augmented reality navigation system (MARNS) in guiding spinal level positioning during intraspinal tumor surgery based on a dual-error theory. Methods: This retrospective study enrolled patients diagnosed with intraspinal tumors admitted to Fujian Provincial Hospital between May and November 2023. The participants were divided into conventional x-rays and self-developed MARNS groups according to the localization methods they received. Position time, length of intraoperative incision variation, and location accuracy were systematically compared. Results: A total of 41 patients (19 males) with intraspinal tumors were included, and MARNS was applied to 21 patients. MARNS achieved successful lesion localization in all patients with an error of 0.38±0.12 cm. Compared to x-rays, MARNS significantly reduced positioning time (129.00±13.03 seconds vs. 365.00±60.43 seconds, p<0.001) and length of intraoperative incision variation (0.14 cm vs. 0.67 cm, p=0.009). Conclusion The self-developed MARNS, based on augmented reality technology for lesion visualization and perpendicular projection, offers a radiation-free complement to conventional x-rays.