The prevalence and risk factors of work-related musculoskeletal disorders among nurses in China: A systematic review and meta-analysis.

BACKGROUND: Work-related musculoskeletal disorders significantly impact the job performance and quality of life of nursing personnel in China, necessitating an understanding of their prevalence and risk factors to enhance occupational health and improve medical safety. OBJECTIVE: To systematically evaluate the prevalence and risk factors of work-related musculoskeletal disorders among clinical nurses in China. DESIGN: Systematic literature review and meta-analysis. METHODS: A computerized search was conducted on databases, including the China Knowledge Resource Integrated Database, Wanfang Database, China Biomedical Literature Database, Weipu Database, Embase, PubMed, Web of Science, the Cochrane Library, and CINAHL, covering studies from inception to February 28, 2024, addressing the risk factors for work-related musculoskeletal disorders among clinical nursing professionals in China. The meta-analysis was performed using Review Manager 5.4 and Stata 14 software. RESULTS: The analysis included 23 articles, involving a total of 21,042 cases, and revealed a prevalence rate of 79 % (95 % CI: 73 %-84 %) for work-related musculoskeletal disorders among clinical nursing staff in China. Subgroup analysis revealed that the prevalence of work-related musculoskeletal disorders was highest among those with length of service >15 years, at 87 %; the 31-40 age group had a higher prevalence than other age groups, at 85 %; female nurses exhibited a prevalence rate of 80 %, surpassing male nurses at 77 %, while surgical nurses had a higher prevalence rate (83 %) than those in other departments. The most affected body parts were the neck (58 %), waist (57 %), shoulders (49 %), and back (35 %). Identified risk factors for work-related musculoskeletal disorders among clinical nurses in China included age >35 years (OR = 1.69, 95 % CI: 1.16-2.45), length of service ≥10 years (OR = 3.30, 95 % CI: 1.84-5.92), marital status (married) (OR = 2.19, 95 % CI: 1.91-2.50), heavy workload (OR = 2.46, 95 % CI: 1.25-4.83), weekly work hours >40 h (OR = 1.50, 95 % CI: 1.34-1.67), daily work hours >8 h (OR = 1.71, 95 % CI: 1.32-2.21), strong sense of work fatigue (OR = 1.47, 95 % CI: 1.22-1.76), and high night shift frequency (OR = 1.81, 95 % CI: 1.62-2.02). Regular physical exercise was found to be a protective factor (OR = 0.68, 95 % CI: 0.56-0.82). CONCLUSION: The overall prevalence of work-related musculoskeletal disorders among clinical nursing staff in China was 79 %. Age >35 years, length of service ≥10 years, marital status (married), heavy workload, weekly work hours >40 h, daily work hours >8 h, strong sense of work fatigue, and night shift frequency were identified as risk factors. Nursing administrators and staff can take proactive measures against the aforementioned factors to reduce the risk of illness and ensure the safety of medical care. REGISTRATION: PROSPERO: CRD42023479433.

Optimization of tourism routes in Lushunkou District based on ArcGIS.

With the advancements and developments in China's tourism industry, various autonomous forms of tourism have been gaining prominence. As such, to facilitate tourists and provide them with maximum experience while economizing on time and cost is essential. One approach toward achieving this is the optimization of tourism routes. However, so far the studies on this approach have focused primarily on inland tourist sites and have lacked a geographic perspective. Therefore, this study undertook the tourism resource data of Lushunkou District of 2020, used the ArcGIS accessibility evaluation model to analyze tourism resources, and finally used the Vehicle Routing Problem of network analysis technology to optimize the tourism route of Lushunkou District and obtain the general overall intellectual framework and technical methods for tourism route optimization. The results showed that the ArcGIS accessibility evaluation model could be used to integrate resources in the tourism area before using the Vehicle Routing Problem to optimize the analysis of tourism routes, thereby enabling the separation of different types of tourism. These divisions were based on the Vehicle Routing Problem to optimize routes for one-day and two-day tours. A new method and model for optimization for tourism routes was constructed to provide a basis and reference for the optimization of tourism routes in similar cities. The observations and results of the present study can facilitate the government in developing the tourism industry and maximizing the benefits obtained from them. Further, travel agencies and tourists will have the provision of designing optimum tourism routes.

Phytotoxic effect and molecular mechanism induced by graphene towards alfalfa (Medicago sativa L.) by integrating transcriptomic and metabolomics analysis.

Although the widespread use of nanoparticles has been reported in various fields, the toxic mechanisms of molecular regulation involved in the alfalfa treated by nanomaterials is still in the preliminary research stage. In this study, Bara 310 SC (Bara, tolerant genotype) and Gold Empress (Gold, susceptible genotype) were used to investigate how the leaves of alfalfa interpret the physiological responses to graphene stress based on metabolome and transcriptome characterizations. Herein, graphene at different concentrations (0, 1% and 2%, w/w) were selected as the analytes. Physiological results showed antioxidant defence system and photosynthesis was significantly disturbed under high environmental concentration of graphene. With Ultra high performance liquid chromatography electrospray tandem mass spectrometry (UPLC-ESI-MS/MS), 406 metabolites were detected and 62/13 and 110/58 metabolites significantly changed in the leaves of Gold/Bara under the 1% and 2%-graphene treatments (w/w), respectively. The most important metabolites which were accumulated under graphene stress includes amino acids, flavonoids, organic acids and sugars. Transcriptomic analysis reveals 1125 of core graphene-responsive genes in alfalfa that was robustly differently expressed in both genotypes. And differential expression genes (DEGs) potentially related to photosynthetic enzymes, antioxidant enzymes, amino acids metabolism, and sucrose and starch metabolic which finding was supported by the metabolome study. Gold was more disturbed by graphene stress at both transcriptional and metabolic levels, since more stress-responsive genes/metabolites were identified in Gold. A comprehensive analysis of transcriptomic and metabolomic data highlights the important role of amino acid metabolism and nicotinate and nicotinamide metabolism pathways for graphene tolerance in alfalfa. Our study provide necessary information for better understanding the phytotoxicity molecular mechanism underlying nanomaterials tolerance of plant.

The genome of a wild Medicago species provides insights into the tolerant mechanisms of legume forage to environmental stress.

BACKGROUND: Medicago ruthenica, a wild and perennial legume forage widely distributed in semi-arid grasslands, is distinguished by its outstanding tolerance to environmental stress. It is a close relative of commonly cultivated forage of alfalfa (Medicago sativa). The high tolerance of M. ruthenica to environmental stress makes this species a valuable genetic resource for understanding and improving traits associated with tolerance to harsh environments. RESULTS: We sequenced and assembled genome of M. ruthenica using an integrated approach, including PacBio, Illumina, 10×Genomics, and Hi-C. The assembled genome was 904.13 Mb with scaffold N50 of 99.39 Mb, and 50,162 protein-coding genes were annotated. Comparative genomics and transcriptomic analyses were used to elucidate mechanisms underlying its tolerance to environmental stress. The expanded FHY3/FAR1 family was identified to be involved in tolerance of M. ruthenica to drought stress. Many genes involved in tolerance to abiotic stress were retained in M. ruthenica compared to other cultivated Medicago species. Hundreds of candidate genes associated with drought tolerance were identified by analyzing variations in single nucleotide polymorphism using accessions of M. ruthenica with varying tolerance to drought. Transcriptomic data demonstrated the involvements of genes related to transcriptional regulation, stress response, and metabolic regulation in tolerance of M. ruthenica. CONCLUSIONS: We present a high-quality genome assembly and identification of drought-related genes in the wild species of M. ruthenica, providing a valuable resource for genomic studies on perennial legume forages.