Background Working night shifts is common in the secondary industry workers, and usually with long weekly working hours. They are prone to occupational stress and sleep disorders, which may seriously affect their physical and mental health and work efficiency. Objective To investigate the current situation and influencing factors of occupational stress and sleep disorders among three key occupational groups in Guizhou Province, and provide a basis for formulating intervention measures. Methods A stratified random cluster sampling method was used to select 11552 workers as the research subjects from three occupational groups in Guizhou Province. A survey on occupational stress and sleep disorders was conducted using the National Key Population Occupational Health Literacy Monitoring Survey Personal Questionnaire. Results A total of 9956 valid questionnaires were recovered (86.18%). The positive rates of occupational stress and sleep disorders among the three key occupational groups in Guizhou Province were 22.6% and 40.6%, respectively. No differences were found among those by individual characteristics (P>0.05). There was a statistically significant difference in reporting sleep disorders among the occupational groups by industry (P<0.05), with the highest rate observed in the production and supply industries of electricity, heat, gas, and water (47.9%). The results of logistic regression analysis showed that company size, weekly working hours, sleep disorders, length of service, night shift, monthly income, and gender were all independent influencing factors of occupational stress in the target population (P <0.05); occupational stress, weekly working hours, marital status, industry, educational level, night shift, household type, monthly income, and age were all independent influencing factors for sleep disorders in the target population (P <0.05). Conclusion The positive rates of occupational stress and sleep disorders are high among the three key occupational groups in Guizhou Province, with sleep disorders particularly prominent in the production and supply industries of electricity, heat, gas, and water. Special attention should be paid to sleep disorders in individuals of the industry of the production and supply industries of electricity, heat, gas, and water, under 40 years old, widowed or divorced, with low education, low income, working night shifts, long weekly working hours, and experiencing occupational stress.

Objective To explore the feasibility of radiomics features combined with different machine learning methods based on CT scans to predict lymphovascular and perineural invasion in patient with gastric cancer.Methods A total of 142 patients with gas-tric cancer lymphovascular confirmed by operative pathological examination were retrospectively selected.Among all patients,there were 96 positive cases and 46 negative cases.Among 137 patients with perineural invasion,there were 76 positive cases and 61 nega-tive cases.The 3D-Slicer package was used for delineation,and the Pyradiomics package was used to extract radiomics features.All data were randomly divided into training set and test set in an 8∶2 ratio.Intraclass correlation coefficient(ICC),Pearson correla-tion analysis,least absolute shrinkage and selection operator(LASSO)algorithm were used for feature selection.Support vector machine(SVM),K-nearest neighbor(KNN),decision tree(DT),random forest(RF),extreme tree(ET),extreme gradient boosting(XGBoost),and LightGBM were used to compare the models of lymphovascular and perineural invasion,respectively.Receiver operating characteris-tic(ROC)curve and area under the curve(AUC)were used to evaluate the predictive performance of these models.Results The lymphovascular group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.926,0.753,1.000,0.999,1.000,1.000,and 0.917,and the AUC in the test set were 0.894,0.692,0.456,0.678,0.753,0.650,and 0.650,respectively.The perineural invasion group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.864,0.794,1.000,1.000,1.000,1.000,and 0.866,and the AUC in the test set were 0.861,0.706,0.700,0.672,0.731,0.667,and 0.678,respectively.Conclusion Based on venous phase CT radiomics features combined with machine learning methods,it is feasible to predict lymphovascu-lar and perineural invasion of gastric cancer preoperatively.Among the variousmachine learning methods,SVM shows the best predictive performance for lymphovascular and perineural invasion in patient with gastric cancer.

BACKGROUND: Tissue engineering is increasingly viewed as a promising avenue for functional cartilage reconstruction.However, chondrocyte dedifferentiation during in vitro culture remains an obstacle for clinical translation of tissue engineered cartilage. Re-differentiated induction have been employed to induce dedifferentiated chondrocytes back to their original phenotype. Regrettably, these strategies have been proven to be only moderately effective. METHODS: To explore underlying mechanism, RNA transcriptome sequencing was conducted on primary chondrocytes (P0), dedifferentiated chondrocytes (P5), and redifferentiated chondrocytes (redifferentiation-induction of P5, P5.R). Based on multiple bioinformatics analysis, LGR5 was identified as a target gene. Subsequently, stable cell lines with LGR5 knocking-down and overexpression were established using P0 chondrocytes. The phenotypic changes in P1 and P5 chondrocytes with either LGR5 knockdown or overexpression were assessed to ascertain the potential influence of LGR5 dysregulation on chondrocyte phenotypes. Regulatory mechanism was then investigated using bioinformatic analysis, protein–protein docking, immunofluorescence co-localization and immunoprecipitation. RESULTS: The current study found that dysregulation of LGR5 can significantly impact the dedifferentiated phenotypes of chondrocytes (P5). Upregulation of LGR5 appears to activate the PI3K/AKT signal via increasing the phosphorylation levels of AKT (p-AKT1). Moreover, the increase of p-AKT1 may stabilize b-catenin and enhance the intensity of Wnt/b-catenin signal, and help to restore the dedifferentated phenotype of chondrocytes. CONCLUSION LGR5 can modulate the phenotypes of chondrocytes in P5 passage through PI3K/AKT signaling pathway.

Objective To analyze the survival status, distribution characteristics and social security of newly diagnosed occupational pneumoconiosis patients in Guizhou Province from 2006 to 2021. Methods The newly diagnosed pneumoconiosis cases reported in Guizhou Province from 2006 to 2021 were collected from the “Occupational Diseases and Hazards Monitoring Information System” under “National Health Insurance Disease Prevention and Control Information System”. Telephone or face-to-face surveys were conducted to investigate these patients. Results A total of 12 413 newly diagnosed pneumoconiosis patients were reported in Guizhou Province from 2006 to 2021, with 11 192 cases included in the follow-up, and 10 631 cases were followed-up successfully. According to the follow-up study, 10 565 cases (accounting for 99.4%) were survived, and 66 cases (accounting for 0.6%) died. The number of pneumoconiosis showed an increasing trend followed by a sharp decline from 2006 to 2021, reaching its peak in 2016. The main industry of the newly pneumoconiosis cases was concentrated in the mining industry (accounting for 90.6%). The top three regions with surviving cases in the follow-up were Bijie City, Zunyi City, and Qiannan Prefecture, accounting for 34.0%, 25.4% and 12.0%, respectively. The main types of pneumoconiosis were coal workers' pneumoconiosis and silicosis, accounting for 67.1% and 30.8%, respectively. Most cases were in the age group of 50 to <60 years old, accounting for 59.1%, and the majority of the workers had worked in dusty environments for 5 to <25 years, accounting for 91.5%. In terms of social security, about 89.5% of cases were in the basic medical insurance for urban and rural residents which was the most popular social security. The employer's compensation rate was 67.7%, and the work-related injury insurance participation rate was 51.5%. Conclusion Pneumoconiosis cases in Guizhou Province exhibit significant regional disparities. It has a high concentration in the industry, a younger age profile, and limited social security coverage. It is necessary to strengthen the special management of dust and industry supervision in mining industry, intensify follow-up work for pneumoconiosis cases, reinforce the construction of pneumoconiosis rehabilitation station in key regions, and improve the quality of life of pneumoconiosis cases.

Objective To analyze the awareness of occupational health literacy (OHL) and its influencing factors among occupational population in key industries of Guizhou Province in 2022. Methods A total of 11 153 workers from eight key industries in 88 counties and districts of Guizhou Province was selected as the research subjects in 2022 using a stratified cluster sampling method. The OHL levels were surveyed using the Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of the research subjects in 2022 was 57.7%. The OHL levels of basic knowledge of occupational health protection, healthy lifestyle and behavior, legal knowledge of occupational health, and basic skills of occupational health protection were 79.6%, 69.7%, 60.0%, and 42.0%, respectively. The overall OHL level of the tertiary industry population was higher than that of the secondary industry (59.8% vs 54.9%, P<0.01). The overall OHL levels of occupational population in the eight key industries from high to low were medical and health, electric heating water supply, environmental health, transportation, non-metallic mineral products, express delivery/take-out,education and coal mining, with the overall OHL level of 82.5%, 64.2%, 64.0%, 55.9%, 52.8%, 48.8%, 46.1% and 44.7%, respectively (P<0.01). The results of logistic regression analysis showed that gender, age, ethnicity, marital status, educational level, personal monthly income, length of employment, and industry category were independent influencing factors of OHL levels (all P<0.05). The OHL level of females was higher than that of males (P<0.01). The older age, higher educational level, and higher personal monthly income were associated with higher OHL levels in workers (all P<0.01). The OHL level of Han population was higher than that of Miao and other ethnic groups (all P<0.01). The OHL level of unmarried population was higher than that of married and widowed/divorced population (all P<0.01). The OHL level of workers with less than 3.0 years of employment was lower than that of workers with 3.0 - < 6.0 and 6.0 - < 10.0 years of employment (all P<0.01). The OHL level of workers in the tertiary industry was higher than that in the secondary industry (P<0.01). Conclusion The OHL level of occupational population in Guizhou Province needs to be further improved. Special attention should be paid to the industry of coal mining and selection, education, express delivery/take-out, and occupational population in ethnic minority areas, low educated, low-income, and newly employed occupational population.

Objective: To analyze the correlation between parental involvement and the formation of good eye use behavior in children,and to provide theoretical basis for more accurate prevention and control of myopia. Methods: A total of 2 726 children and their parents from 3 primary schools were selected from April to May 2021 by clustering sampling method. Children s ocular parameters, eye use behavior, general characteristics of parents, and parental involvement were collected through ocular measurements and questionnaires, respectively. Results: Parental involvement was associated with family economic, parental education level, and parental myopic status( P <0.05). Children s myopia risk was associated with parental involvement: lower myopia risk was associated with frequent parental involvement in behavioral management of child sleep and child outdoor activities( P <0.01). Parents who always/frequently participate in the management of children s eye behavior have an average daily screen time of <2 h ( OR= 1.95 , 95%CI =1.31-2.90), and daily outdoor activity time>2 h ( OR=0.78, 95%CI =0.65-0.93), daily sleep time >8 h ( OR= 0.52 , 95%CI =0.40-0.68), daily continuous reading and writing time <1 h ( OR=1.33, 95%CI =1.30-1.56), reading and writing The distance from the desktop > 30 cm ( OR=0.57, 95%CI =0.34-0.95) had a statistically significant effect ( P <0.05). Conclusion High parental involvement may help school age children develop good eye habits and reduce the risk of childhood myopia. Parental involvement is higher among those who had myopia themselves, and parental involvement is positively associated with total household income and parental literacy.

Objective:To develop a Risk Assessment Index System (RAIS) on HIV infection among young students based on Delphi method and to provide individual HIV infection risk assessment, targeted prevention and control measures.Methods:Delphi method was applied to determine the index system and weight of the assessment tool through three rounds of expert consultation and overall consideration of opinions and suggestions from 19 experts.Results:The positivity coefficients of three rounds of expert consultation were 100%. The authority coefficient of experts was between 0.887 and 0.945. The Kendall's W coefficients through first, second and third round specialist consultation was 0.379, 0.329 and 0.248, respectively (all P<0.001). The coefficients of variation in the third round were all less than 0.25, indicating that experts' opinion tend to be consistent and the results are highly reliable. The HIV infection risk assessment index system among young students consisted of 7 first grade indices and 54 second grade indices, of which weight was calculated. Conclusions:The RAIS on HIV infection for young students was initially established based on Delphi method, and could be used in the development of HIV infection risk assessment tools for personalized prevention and intervention among young students. However, the reliability, validity and effect of this assessment index system need to be further evaluated.

Objective:To explore the difference of sexual health characteristics and demands in students in different groups, and provide the basis for targeted sexual health eduction for AIDS prevention in young students.Methods:A survey was conducted based on the requirement of health education about sexual health and AIDS prevention in young students by the education department of Guangdong province. A two-step cluster analysis was performed on the survey data obtained by convenient sampling, the variables and number of clusters included were determined by combination of analysis results and professional knowledge. The demographic characteristics, the content and form of sexual health education needed were compared among different groups.Results:Survey data of 3 884 students were collected, and six variables were used for classification: cognition or occurrence masturbation, sexual behavior, frequency of sexual information acquisition, number of acceptable sex partners and AIDS knowledge awareness rate. By these variables, the students were classified into three levels of risk groups: high risk group (46.6%), medium risk group (39.9%) and low risk group (13.5%). As for demographic characteristics, high risk group, with a median age of 19 years, had the highest proportions of boys (65.9%), students with non-heterosexuality orientation (15.2%), urban residents (58.2%), only children (30.8%) and undergraduates (54.7%). Medium risk group, with a median age of 19 years, had the highest proportions of girls (82.7%) and vocational college students (34.0%). Low risk group, with a median age of 18 years, had the highest proportions of rural residents (52.4%), non-only child (80.6%), senior high school students (41.3%), non-boarding students (17.5%) and students without internship and part-time job experience (43.2%). In terms of health education demands, high risk group had a higher demand of information about self-identity, sexual safety, sexual decision making, contraception, abortion, and sexually transmitted disease or AIDS prevention. Medium risk group paid more attention to value on love and marriage, sexual assault. Low risk group showed a higher demand of adolescent physiology knowledge. Compared with low risk group, high risk group had a higher demand of peer education, Internet/multimedia, anonymous counseling and other forms of sexual health education. The differences were significant.Conclusion:The characteristics, sexual knowledge awareness, attitude and behavior, and health education demands of young students in different groups are different, so health education materials and methods should be developed according to the characteristics of different groups to enhance the acceptance and enthusiasm of students and improve the quality of sexual health education.

Objective:To analyze the influencing factors for HIV testing services utilization in students with self-assessed high risk of HIV infection.Methods:The research framework of the influencing factors for HIV testing services utilization in students was developed based on Andersen's health services utilization behavioral model and related literature. A cross-sectional survey was performed in students with self-assessed high risk of HIV infection by an online HIV infection risk assessment tool from March to April 2019. Multiple logistic regressions were applied with hierarchical model.Results:A total of 526 students were included in the study (age: 19.30±1.19 years old), in whom 96.2% agreed that HIV testing should be received after high-risk behavior. 56.7% (298/526) had sexual behavior and the HIV testing rate was 11.0% (58/526). The HIV testing rates in students who had and had no sex behavior were 13.42%(40/298) and 7.89% (18/228), respectively. According to the results from multivariate logistic regression analysis, non-heterosexual (compared with heterosexual, OR=7.88, 95% CI: 3.98-15.61) and higher score of AIDS knowledge awareness (compared with lower score, OR=2.05, 95% CI: 1.07-3.93) in propensity factor module, and having risk sexual behavior (compared with having no risk sexual behavior, OR=2.66, 95% CI: 1.41-5.03) and having diagnosis of STD infection in hospital (compared with having no such diagnosis, OR=6.35, 95% CI: 2.21-18.27) in demand factor module, and receiving health education about AIDS prevention in the past year (compared with receiving no such health education, OR=0.29, 95% CI: 0.11-0.76) and receiving health education about AIDS testing service in the past year (compared with receiving no such health education, OR=3.67, 95% CI: 1.71-7.90) in ability factor module were the influencing factors for utilization of HIV testing services. Conclusions:The acceptance of HIV testing in students needs to be improved urgently. Propensity factors, such as their AIDS knowledge awareness and sexual orientation, and demand factors, such as having risk sexual behavior and STD infection, have obvious impacts on the utilization of HIV testing services. However, health education about AIDS prevention and HIV testing service can play a more important role in facilitating the utilization of HIV testing in students. In the future, we should further strengthen the publicity of voluntary HIV counseling and testing service in students with particular attention to girls and those with risk sexual behaviors.

Objective:To evaluate the effect of "self-categorization" on decision of health preference and the influence of self-categorized deviation in knowledge, attitude and practice (KAP) on the willingness of seeking help for sexual health among young students.Methods:From March to April 2019, young students who used a WeChat applet for sexual health and HIV infection risk assessment, which is called "Detective Bear" were recruited and investigated. According to the consistency between the self-categorization of KAP for sexual health and the systematic categorization from their honest answers, the participants were allocated into three groups: consistent, low or high status, according to their judgment on sexual information acquisition, sexual attitude, and the actual number of sexual experiences. Logistic regression was used to analyze the differences in the willingness to seek help for sexual health problems between the three groups.Results:2 009 students with an average age of (19.2±1.1) were included. 54.7% (1 099/2 009) were female, and 98.4% (1 976/2 009) were college, undergraduate or postgraduate students. 49.0% (984/2 009) were in the consistent group, 10.9% (219/2 009) had a lower self-categorization, 40.1% (806/2 009) had a higher self-categorization. Compared with the consistent group, students with lower self-categorization of KAP for sexual health were less likely to assess HIV voluntary counseling and testing (a OR=0.65, 95% CI: 0.43-0.99). However, students with higher self-categorization seemed to dislike seeking help for sexually transmitted diseases (a OR=0.76, 95% CI: 0.59-0.98). Conclusions:Deviation in self-categorization of KAP for sexual health will reduce the young students' willingness to seek help for related problems. Especially those with lower self-categorization, lack of risk consciousness, and refuse to assess counseling and testing may increase the HIV/AIDS epidemic among this population. It is necessary to strengthen the capacity of self-assessment for young students while promoting sex education.