[Objective]To observe the effects of qing-nao-ding-tong decoction on the levels of IL-6 and TNF-? in subarachnoid hemorrhage.[Methods]Cases were randomly divided into integrated traditional Chinese and western medicine (TCW) groups,western medicine group and control group.After 2w treatment,the levels of IL-6 and TNF-? were contrasted.[Results]The levels of IL-6 and TNF-? were both raised.Combined with western medicine,qing-nao-ding-tong decoction could effectively reduce the levels of IL-6 and TNF-?.[Conclusion]Combined with western medicine,qing-nao-ding-tong decoction can effectively reduce the levels of IL-6 and TNF-? in patients with subarachnoid hemorrhage,and there is synergistic reaction between TCM and WM.

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 discuss clinical efficacy of Fufang Yangxue Tang for cancer-related anemia. Methods Clini-cal data of 120 cases with cancer-related anemia were respectively analyzed. 64 cases of control group were treated by EPO, and 56 cases of study group were treated by Fufang Yangxue Tang based on treatment of EPO. Clinical efficacy of two groups was compared. Results After treatment of 8 weeks, efficiency of study group was 67.9%, and performance status improvement rate was 82.1%, which were higher than control group (P<0.05);Hb and Hct levels after treatment of 4 weeks and 8 weeks increased compared with before treatment(P<0.01), and study group improved more(P<0.01). Conclusion Fufang Yangxue Tang combined with EPO in treatment of cancer-related anemia can improve clinical effi-cacy, improve performance status and Hb and Hct, worthy of clinical promotion.

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 explore comprehensive nursing measures to the high-risk patients with cerebral apoplexy in nursing outpatient and evaluate the effect.Methods Convenience sampling method was used to select 75 high-risk cerebral apoplexy patients in the nursing outpatient from April 201 4 to December 201 4,patients were carried out comprehensive nursing measures including measuring blood pressure,body weight,and abdominal circumference,instructing to take medication correctly and establish a healthy physical exercise and diet style.Results After 6 months of intervention,systolic blood pressure and diastolic blood pressure of the subjects decreased from (1 48.40 ±1 3.86)mmHg to (1 33.1 ±1 2.49)mmHg and (84.75 ± 8.50)mmHg to (79.75 ±7.40)mmHg respectively(P <0.05).Before and after intervention,the reasonable exercise rate rose from 41 .3% to 72.9%,smoking rate decreased from 53.3% to 21 .4%,compliance with medication rose from 52.0% to 85.7%,salty diet rate decreased from 56.0% to 37.1 %,oiled diet rate decreased from 69.3% to 1 5.7%,compliance with fruit intake rose from 38.7% to 90.0%,compliance with milk drink rose from 30.7% to 75.7%(P <0.05).Conclusions Outpatient comprehensive stoke intervention measures to patients with high-risk for cerebral apoplexy can reduce the risk factors to stoke,improve lifestyle and provide basis for stoke high-risk population.

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.