Objective To analyze the epidemiological characteristics of newly diagnosed occupational coal workers' pneumoconiosis (CWP) in Gansu Province. Methods All newly diagnosed cases of CWP reported online in Gansu Province from 2005 to 2024 were collected as study subjects through the "Occupational Diseases and Health Hazard Factors Monitoring Information System". A descriptive epidemiological method was used to analyze the epidemiological characteristics. A total of 886 newly diagnosed CWP cases were reported in Gansu Province during 2005-2024. Results Among them, cases initially diagnosed as stageⅠ, stage Ⅱ, and stage Ⅲ accounted for 68.8%, 20.0%, and 11.2%, respectively. The cases were predominantly male, accounting for 99.0%. Age groups of 50-<60 years and ≥60 years accounted for 47.0% and 42.9%, respectively. In terms of regional distribution, Lanzhou City, Pingliang City, and Baiyin City were the main affected areas, accounting for 36.0%, 19.1%, and 16.4%, respectively. Regarding industry distribution, the coal mining and washing industry accounted for 91.3% of the cases. Enterprises of large and small sizes accounted for 46.0% and 29.7%, respectively. In terms of enterprise economic types, state-owned enterprises and private enterprises accounted for 54.2% and 21.6%, respectively. The median duration of dust exposure among newly diagnosed CWP cases was 18 years. As of 2024, 102 cases had progressed to a more advanced stage; among the progressed cases, stageⅠ, stage Ⅱ, and stage Ⅲ cases accounted for 58.1%, 28.3%, and 13.6%, respectively. Conclusion Cases of CWP in Gansu Province are mainly distributed in large state-owned coal mines in cities such as Lanzhou, Pingliang, and Baiyin, predominantly affecting older males with longer dust exposure durations. Therefore, occupational health supervision and management in coal dust-related enterprises in the province should be further strengthened, and the occupational health examination procedures for workers exposed to dust should be standardized.

Objective:To understand the health status of solar greenhouse workers, to provide scientific basis for the development of occupational high incidence diseases prevention and control strategies.Methods:In July 2019, a random cluster sampling method was used to select 245 workers engaged in solar greenhouse vegetable cultivation in Daba Village, Jingyuan County, Baiyin City, Gansu Province as the solar greenhouse operation group. Matched by gender, age, marital status, body mass index (BMI), 282 people from adjacent Shaliang Village who did not engage in solar greenhouse operation were selected as the control group. Field investigation and health examination were carried out among the study subjects. The general situation, facial features examination results, ophthalmic examination results, bone and joint examination results and skin examination results were compared between the two groups. And the multiple logistic regression analysis was used to analyze the influencing factors of abnormal bone and joint examination (upper limbs, lower limbs, hands and spine bone joints) in study subjects.Results:There were statistically significant differences in smoking age and alcohol consumption between the two groups ( P<0.001). Compared with the control group, the abnormal detection rates of nose examination, throat examination, slit lamp examination, conjunctival examination, lower limb bone joint examination, hand bone joint examination, spine examination, head and neck skin examination, trunk skin examination, upper limb skin examination, and lower limb skin examination in the solar greenhouse operation group were higher, and the differences were statistically significant (χ 2=11.53, 7.94, 9.92, 27.93, 79.32, 81.42, 9.43, 6.79, 9.76, 4.34, 8.29, P<0.05). Multivariate logistic regression analysis showed that after adjusting for gender, age, marital status, education level, BMI, compared with the control group, solar greenhouse operation was a risk factor for abnormal bone and joint examination ( OR=1.178, 95% CI: 1.151-2.143, P=0.001) . Conclusion:Solar greenhouse operation has a certain harmful effect on health of workers, and solar greenhouse workers have an increased risk of abnormal diseases of upper limbs, lower limbs, hands and spine bone joints.

Background As the population ages, there has been a growing focus on the decline in fertility. Research has identified age and fertility history as the primary influencing factors. Nevertheless, there is a deficiency in fundamental data regarding the fertility status among different industries. Objective To investigate the fertility status and influencing factors among female workers aged 22-35 years in different industries. Methods From July 2020 to February 2021, a cross-sectional survey was conducted using a staged sampling approach. This survey specifically targeted 22-35-year-old married female workers with a history of pregnancy in industries such as education, healthcare, finance, and telecommunications, totaling 22903 participants. The survey encompassed industry, demographic characteristics, pregnancy history, time to pregnancy (TTP), and other influencing factors. The influencing factors of decline in fertility were identified by chi-square test and Cox proportional hazards regression. Subsequent industry-specific Cox proportional hazards regression models were used to compared fertility decline patterns across a spectrum of industries after selected influencing factors were adjusted. Results Among the 22903 respondents, 19194 valid questionnaires were collected, with a valid recovery rate of 83.8%. The cumulative pregnancy rates (CRP) of 1-6 months and 1-12 months for the 22-35-year-old female workers were 67.23% and 91.33% respectively. The multivariate analysis showed that region, age, education level, personal annual income, housework time, coping style, gravidity, parity, and spontaneous abortion were influencing factors of fertility decline (P<0.05). Female workers with ≥3 gravidities and ≥2 spontaneous abortions had a higher risk of fertility decline, with hazard ratios (HR) and associated 95% confidence interval (95%CI) of 0.633 (0.582, 0.688) and 0.785 (0.670, 0.921) respectively (P<0.01). Compared to the education industry, the healthcare and finance industries showed a higher risk of fertility decline, with HR (95%CI) values of 0.876 (0.834, 0.920) and 0.909 (0.866, 0.954), respectively (P<0.05). These two HR (95%CI) values remained statistically significant [0.899 (0.852, 0.948) and 0.882 (0.833, 0.934) respectively, P<0.05)] after further adjustment with nine influencing factors such as region and age. Conclusion Regions, age, education level, personal annual income, housework time, coping style, pregnancy and childbirth times, and natural abortion times are influencing factors of fertility decline in female workers. Compared to the education industry, the healthcare and finance industries have a higher risk of declining fertility.

Objective:To understand the health status of solar greenhouse workers, to provide scientific basis for the development of occupational high incidence diseases prevention and control strategies.Methods:In July 2019, a random cluster sampling method was used to select 245 workers engaged in solar greenhouse vegetable cultivation in Daba Village, Jingyuan County, Baiyin City, Gansu Province as the solar greenhouse operation group. Matched by gender, age, marital status, body mass index (BMI), 282 people from adjacent Shaliang Village who did not engage in solar greenhouse operation were selected as the control group. Field investigation and health examination were carried out among the study subjects. The general situation, facial features examination results, ophthalmic examination results, bone and joint examination results and skin examination results were compared between the two groups. And the multiple logistic regression analysis was used to analyze the influencing factors of abnormal bone and joint examination (upper limbs, lower limbs, hands and spine bone joints) in study subjects.Results:There were statistically significant differences in smoking age and alcohol consumption between the two groups ( P<0.001). Compared with the control group, the abnormal detection rates of nose examination, throat examination, slit lamp examination, conjunctival examination, lower limb bone joint examination, hand bone joint examination, spine examination, head and neck skin examination, trunk skin examination, upper limb skin examination, and lower limb skin examination in the solar greenhouse operation group were higher, and the differences were statistically significant (χ 2=11.53, 7.94, 9.92, 27.93, 79.32, 81.42, 9.43, 6.79, 9.76, 4.34, 8.29, P<0.05). Multivariate logistic regression analysis showed that after adjusting for gender, age, marital status, education level, BMI, compared with the control group, solar greenhouse operation was a risk factor for abnormal bone and joint examination ( OR=1.178, 95% CI: 1.151-2.143, P=0.001) . Conclusion:Solar greenhouse operation has a certain harmful effect on health of workers, and solar greenhouse workers have an increased risk of abnormal diseases of upper limbs, lower limbs, hands and spine bone joints.

Background Women face more reproductive health problems in their whole life cycle. Occupational exposure to harmful factors in the petrochemical industry may have a synergistic effect on women’s existing health problems. Objective To analyze the influencing factors of perimenopausal syndrome (PMS) in female workers in petrochemical industry, and establish a nomogram model of the risk of PMS in female workers, so as to provide a easy and quick health monitoring and evaluation method for female workers. Methods A total of 2653 perimenopausal female workers aged 45-55 years old were selected from a petrochemical enterprise. A questionnaire survey was conducted to collect information on demographic characteristics, occupational characteristics, psychological status, and reproductive health information. The prevalence of PMS of female workers was evaluated by the Kupperman Index Scale, the physical fatigue and mental fatigue were evaluated by the Fatigue Scale. A linear graph prediction model was established by multiple logistic regression. A nomogram was presented and C-index was used to verify the differentiation of the model. Then Bootstrap method was used for internal validation. Results Among the 2653 female worker, a total of 1306 cases (49.2%) presented PMS with a Kupperman score ≥7. The main symptoms were fatigue (79.95%), irritability (71.32%), and insomnia (66.79%). Significant differences in PMS prevalence were found among female workers of different age, body mass index, and working posture groups (P < 0.05). The participants with alcohol drinking, maternal premature or late menopause, hypertension, lack of physical exercise, heavy lifting, sick leave in the last 6 months, combined occupational exposures to dust, chemicals, noise [> 80 dB(A)], or electromagnetic field, and not wearing protective masks, gloves or protective earplugs reported higher prevalence rates of PMS (P < 0.05). The prevalence rate of PMS in female workers with sleep duration ≤ 6 h was higher than that with > 6 h (P < 0.05), and higher in female workers with physical and mental fatigue than in those without (P < 0.05). The results of logistic regression analysis showed that those with maternal premature or late menopause (OR=1.572, 95%CI: 1.320−1.872), hypertension (OR=1.579, 95%CI: 1.127−2.213), alcohol drinking (OR=1.286, 95%CI: 1.080−1.532), no physical exercise (OR=1.598, 95%CI: 1.330−1.920), sleep duration ≤ 6 h (OR=1.853, 95%CI: 1.518−2.263), sick leave in recent 6 months (OR=1.614, 95%CI: 1.226−2.123), physical fatigue (OR=2.384, 95%CI: 1.887−3.012), mental fatigue (OR=5.649, 95%CI: 4.382−7.283), combined exposure to occupational harmful factors (OR=1.329, 95%CI: 1.108−1.593), long-time sitting (OR=2.014, 95%CI: 1.271−3.190), and heavy lifting (OR=1.505, 95%CI: 1.178−1.923) showed a higher risk of reporting PMS (P<0.05). The C-index from the ROC curve of the nomogram model was 0.748 (95%CI: 0.729−0.766). The results of Bootstrap validation showed that the standard curve and the predicted curve almost overlapped, and the absolute error was 0.008, indicating that the model fitness was good. Conclusion PMS in female petrochemical workers may occur due to long-term exposures to multiple factors. The established nomogram model has good predictive ability and could be applied to monitor and evaluate female reproductive health in petroleum industry.

Objective:To explore the influencing factors of abnormal menstruation of female workers in a petrochemical enterprise.Methods:A total of 5186 female employees in a petrochemical enterprise were selected as the research objects from July 2018 to December 2019. A questionnaire survey was conducted from four aspects: basic information, occupational status, psychological status at work, reproductive and reproductive health, and a multivariate logistic regression model was used for analysis.Results:Among 5132 female workers, 676 were postmenopausal and 1117 (25.1%) among 4456 non-postmenopausal women had abnormal menstruation in the last 6 months. Logistic regression analysis showed that age (<30、30~35 years) and length of service (≤20 years) were protective factors ( OR=0.573, 0.590, 0.798, P<0.05) . Age (40~45、45~50 years old) , sleep duration (<6 h) , premature OR late menopause of maternal relatives, occupational exposure to dust, occupational exposure to chemicals, not wearing earplugs, leave due to health reasons in the last 6 months, reproductive tract infection OR symptoms in the last 6 months, spontaneous abortion, induced abortion, physical fatigue and mental fatigue were risk factors for menstrual abnormalities in female workers ( OR=2.318, 5.544, 1.231, 1.199, 1.336, 1.403, 1.351, 1.538, 1.613, 1.584, 1.199, 1.601, 1.936, P<0.05) . Conclusion:The abnormal menstruation of female workers is affected by many factors in the occupational process, and specific measures should be taken to improve the reproductive health of female workers.

Objective:To explore the influencing factors of abnormal menstruation of female workers in a petrochemical enterprise.Methods:A total of 5186 female employees in a petrochemical enterprise were selected as the research objects from July 2018 to December 2019. A questionnaire survey was conducted from four aspects: basic information, occupational status, psychological status at work, reproductive and reproductive health, and a multivariate logistic regression model was used for analysis.Results:Among 5132 female workers, 676 were postmenopausal and 1117 (25.1%) among 4456 non-postmenopausal women had abnormal menstruation in the last 6 months. Logistic regression analysis showed that age (<30、30~35 years) and length of service (≤20 years) were protective factors ( OR=0.573, 0.590, 0.798, P<0.05) . Age (40~45、45~50 years old) , sleep duration (<6 h) , premature OR late menopause of maternal relatives, occupational exposure to dust, occupational exposure to chemicals, not wearing earplugs, leave due to health reasons in the last 6 months, reproductive tract infection OR symptoms in the last 6 months, spontaneous abortion, induced abortion, physical fatigue and mental fatigue were risk factors for menstrual abnormalities in female workers ( OR=2.318, 5.544, 1.231, 1.199, 1.336, 1.403, 1.351, 1.538, 1.613, 1.584, 1.199, 1.601, 1.936, P<0.05) . Conclusion:The abnormal menstruation of female workers is affected by many factors in the occupational process, and specific measures should be taken to improve the reproductive health of female workers.

Objective:The epidemiological characteristics of occupational pneumoconiosis in Gansu Province from 2010 to 2018 were analyzed to provide a theoretical basis for the development of prevention and control strategies for pneumoconiosis in Gansu Province.Methods:In March 2019, the data of newly diagnosed occupational pneumoconiosis in 2010 -2018 and the data of occupational pneumoconiosis as of December 31, 2018 in Gansu Province were collected by the Occupational Disease and Occupational Health Information Monitoring System. The stage, type of disease, time, enterprise information of newly diagnosed pneumoconiosis and the region, type of disease, enterprise information of existed pneumoconiosis were analyzed. Results:From 2010 to 2018, a total of 1269 new cases of occupational pneumoconiosis were reported in Gansu Province, including 818 cases (64.46%) of stage I pneumoconiosis, 284 cases (22.38%) of stage II pneumoconiosis, 167 cases (13.16%) of stage III pneumoconiosis. Silicosis, coal worker's pneumoconiosis and cement pneumoconiosis ranks the top 3, accounting for 55.71% (707/1269) , 37.67% (478/1269) and 3.78% (48/1269) of the total number, respectively. The new cases of stage III pneumoconiosis were mainly distributed in private economy (58.09%, 79/136) and small -sized (59.88%, 97/162) enterprises. As of December 31, 2018, Gansu Province had reported a total of 12211 cases of occupational pneumoconiosis, of which 58.16% (7102/12211) were coal worker's pneumoconiosis and 28.15% (3438/12211) were silicosis. Mainly distributed in Baiyin city (21.63%, 2641/12211) , Lanzhou city (17.79%, 2172/12211) and Wuwei city (13.73%, 1676/12211) . The existed cases of pneumoconiosis are mainly distributed in state -owned economy (76.95%, 9396/12211) and large -sized (54.23%, 6622/12211) enterprises. Conclusion:Silicosis and coal worker's pneumoconiosis are the main type of pneumoconiosis in Gansu Province. And the number of silicosis reported is on the rise, which should be taken seriously. Pneumoconiosis in Gansu Province is mainly distributed in state -owned economy and large -sized enterprises. However, pneumoconiosis patients in private economy and small -sized enterprise is generally serious, so it should be the focus of supervision.

Objective:The epidemiological characteristics of occupational pneumoconiosis in Gansu Province from 2010 to 2018 were analyzed to provide a theoretical basis for the development of prevention and control strategies for pneumoconiosis in Gansu Province.Methods:In March 2019, the data of newly diagnosed occupational pneumoconiosis in 2010 -2018 and the data of occupational pneumoconiosis as of December 31, 2018 in Gansu Province were collected by the Occupational Disease and Occupational Health Information Monitoring System. The stage, type of disease, time, enterprise information of newly diagnosed pneumoconiosis and the region, type of disease, enterprise information of existed pneumoconiosis were analyzed. Results:From 2010 to 2018, a total of 1269 new cases of occupational pneumoconiosis were reported in Gansu Province, including 818 cases (64.46%) of stage I pneumoconiosis, 284 cases (22.38%) of stage II pneumoconiosis, 167 cases (13.16%) of stage III pneumoconiosis. Silicosis, coal worker's pneumoconiosis and cement pneumoconiosis ranks the top 3, accounting for 55.71% (707/1269) , 37.67% (478/1269) and 3.78% (48/1269) of the total number, respectively. The new cases of stage III pneumoconiosis were mainly distributed in private economy (58.09%, 79/136) and small -sized (59.88%, 97/162) enterprises. As of December 31, 2018, Gansu Province had reported a total of 12211 cases of occupational pneumoconiosis, of which 58.16% (7102/12211) were coal worker's pneumoconiosis and 28.15% (3438/12211) were silicosis. Mainly distributed in Baiyin city (21.63%, 2641/12211) , Lanzhou city (17.79%, 2172/12211) and Wuwei city (13.73%, 1676/12211) . The existed cases of pneumoconiosis are mainly distributed in state -owned economy (76.95%, 9396/12211) and large -sized (54.23%, 6622/12211) enterprises. Conclusion:Silicosis and coal worker's pneumoconiosis are the main type of pneumoconiosis in Gansu Province. And the number of silicosis reported is on the rise, which should be taken seriously. Pneumoconiosis in Gansu Province is mainly distributed in state -owned economy and large -sized enterprises. However, pneumoconiosis patients in private economy and small -sized enterprise is generally serious, so it should be the focus of supervision.

Objective: To analyze the epidemiological characteristics of occupational diseases in Gansu Province, China in 2010-2017, and to provide a scientific basis for the prevention and control of occupational diseases. Methods: The cluster sampling method was adopted to make statistical analysis of 1339 cases of occupational disease reported by "occupational disease and occupational health information monitoring system" in Gansu province from 2010 to 2017, to investigate the diseases, regions and industries of occupational diseases in June 2018. Results: A total of 1339 cases of occupational diseases (39 types, 8 classes) were diagnosed and reposed in 2010-2017. The three most frequent diseases were pneumoconiosis (87.53%, 1172/1339), occupational poisonings (5.83%, 78/1339), and occupational ear, nose, and throat (ENT) diseases (3.14%, 42/1339). The cases of silicosis accounted for 54.61% (640/1172) of all cases of pneumoconiosis, the second was coalworker pneumoconiosis, which accounted for 38.57% (452/1172). In the cases of occupational poisonings, 32.05% (25/78) suffered from carbon monoxide poisoning. Patients with occupational diseases were reported in 14 districts of Gansu, mostly in Lanzhou (27.52%, 347/1261), Jinchang (16.57%, 209/1261), and Baiyin (14.20%, 179/1261). The reported cases are mainly concentrated in mining (71.56%, 468/654) and manufacturing (21.87%, 143/654), the types of state-owned economy (55.63%, 692/1244) and private economy (33.68%, 419/1244), large (43.41%, 540/1244) and small enterprises (35.21%, 438/1244) in 2010-2017 in Gansu. Conclusion The pneumoconiosis caused by silicious and coal dust and the occupational poisonings caused by carbon monoxide seem to be the main occupational hazards in Gansu province. Occupational diseases occur in all districts of Guangzhou and in various industries. The state-owned economy and private sector, large and small enterprises should be the focuses of occupational health supervision.