Objective To understand the prevalence and risk factors of hyperuricemia in electronics factory workers in Wuhan, and to provide evidence for the health protection of electronics factory workers. Methods A total of 1 415 employees in an electronics factory in Wuhan were selected as the research subjects, and the physical examination and determination of various biochemical indicators, as well as questionnaire survey were carried out. Results The detection rate of hyperuricemia among workers in the electronics factory in Wuhan was 32.43%, with 36.33% for men and 14.11% for women, and the difference was statistically significant ( χ²＝46.077，P＜0.001). The detection rate of hyperuricemia was the highest (33.77%) among those with university or college education, followed by graduate students and above (31.50%). Compared with subjects with good lifestyle habits, people with drinking habits had higher hyperuricemia detection rate (49.38%), and the difference was statistically significant (P =0.001). The detection rates of hyperuricemia in those with central obesity and elevated alanine aminotransferase were 48.23% and 61.29%, respectively, which were significantly higher than those in the subjects without the above diseases (26.91% and 27.21%, respectively), and the differences were statistically significant (P <0.001). Obese people had the highest detection rate of hyperuricemia (66.95%), followed by overweight people (43.75%), and the difference was statistically significant (P <0.001). Multivariate logistic analysis showed that alcohol drinking (OR=1.836, 95% CI=1.139-2.961, P =0.013) and body mass index ≥ 24 kg/m² (OR=2.175, 95% CI=1.686 -2.806, P <0.001) were risk factors for hyperuricemia in electronic factory workers. Elevated alanine aminotransferase (ALT) was significantly correlated with hyperuricemia (OR=2.964, 95%CI=2.146-4.095 , P <0.001). Female gender was a protective factor for hyperuricemia in workers in the electronics factory (OR=0.441, 95%CI=0.297-0.653 , P <0.001). Conclusion The detection rate of hyperuricemia among workers in an electronics factory in Wuhan is high, and the detection rate of hyperuricemia in men is higher than that in women. Alcohol consumption, overweight and obesity will increase the risk of hyperuricemia. Elevated ALT is associated with hyperuricemia. Maintaining an ideal body mass index and establishing a good lifestyle play an important role in preventing hyperuricemia.

ObjectiveTo observe the clinical effect of Jieyu Qingxin formula granules combined with remote interactive cognitive behavioral therapy for insomnia （CBT-I） on chronic insomnia of liver depression and fire-turning type. MethodThis study was a prospective randomized controlled trial. 120 patients with chronic insomnia of liver depression and fire-turning type in Lu'an traditional Chinese medicine Hospital from January 2022 to June 2023 were selected as objects. They were randomly divided into two groups，with 60 cases in each group. The control group received remote interactive CBT-I. The observation group was treated with Jieyu Qingxin formula granules on the basis of the control group. Intervention treatment lasted for four weeks，and observation lasted for six weeks. Comparison of data of each group：clinical efficacy，changes in traditional Chinese medicine （TCM） syndrome score before and after treatment，changes in insomnia severity index （ISI） score，self-rating depression scale （SDS） and self-rating anxiety scale （SAS） score changes，total sleep time，wake time，sleep latency，sleep efficiency， Actigraphy sleep parameter value changes，serum neuron specific enolase （NSE） ，adenosine，dopamine （DA）， 5-hydroxytryptamine （5-HT） level changes，and adverse reactions. ResultThe total effective rate in the observation group （92.45%，49/53） was higher than that in the control group（76.92%，40/52）， and the difference was statistically significant（χ²=4.711 1，P<0.05）. After treatment，TCM syndrome score，ISI score，SAS score， and SDS score were decreased in all groups. The total sleep time was extended，and wake time and sleep latency were shortened. The sleep efficiency was increased，but the NSE and DA levels were decreased. Adenosine and 5-HT levels were increased in all groups（P<0.05）. After treatment，compared with the control group，the observation group had lower TCM syndrome score，ISI score，SAS score， and SDS score，longer total sleep time，higher sleep efficiency，shorter wake time and sleep latency，lower NSE and DA levels， and higher adenosine and 5-HT level （P<0.05）. There was one case of nausea in the observation group and no adverse reaction in the control group during treatment. There was no significant difference between the two groups. ConclusionBy reducing NSE and DA and increasing the levels of 5-HT and adenosine，the anxiety （SAS score） and depression （SDS score） of patients can be improved， so as to improve their sleep and effectively treat chronic insomnia of liver depression and fire-turning type.

Objective:To investigate the clinical characteristics of psoriasis and status quo of medical care for patients in county areas of China.Methods:This study was a cross-sectional investigation. Based on the “Qianxian Wuyin” Project (a national project for upgrating ability for psoriasis care at county level), an online questionnaire survey was conducted in the dermatology departments of 459 county hospitals in 404 pilot administrative counties across China from February to June 2023. The questionnaire included demographic information of patients (gender, ethnicity, age, place of residence, education, marital status), and clinical characteristics of psoriasis (disease course, type, comorbidities, body surface area (BSA) and previous treatment. The Dermatology Life Quality Index (DLQI) and Psoriasis Area and Severity Index (PASI) were applied for assessing the quality of life and disease severity, and completed by patients or guardian and doctors, respectively.Results:A total of 16 935 patients completed the questionnaire. The age of patients was 1-102(44.17±11.58)years, and 71.0% (12 036/16 935) were 30-59 years old. The ratio of male to female was 2.21∶1; 24.3%(4 117/16 935) of patients had high school education; there were 9 940 patients(58.7%) with previous or current smoking and/or alcohol use; 42.8%(7 218/16 855) of patients had a disease course of 1-5 years. There were 15 630 patients(92.3%) with DLQI≥10, 8 346 patients(49.7%) with PASI≥10, 15 017 patients(89.2%) with BSA≥10%. The plaque type was the most common disease type ( n=14 965, 88.7%), and spotting type ranked the second ( n=1 141, 6.8%). The most common initial site was the trunk ( n=12 309, 72.9%). Among the comorbidities, hypertension was the most common one ( n=1 681, 10.0%). There were 7 650 reports of treatment response to conventional topical drug therapy and 3 112 reports of treatment response to systemic drug therapy, with 6 269 (81.9%) and 2 493 (80.1%) reporting poor or no response, respectively. Conclusions:The survey shows that in the county areas of China, the majority of psoriasis patients are severe patients with short course of disease, plaque type is the most common type, and hypertension is the most common comorbidity; and the conventional treatment is less effective for most patients.

Objective To investigate the relationship between occupational noise exposure and glycated hemoglobin (HbA1c) levels, as well as prediabetes diagnosed by HbA1c. Methods A total of 1 181 workers from a cigarette factory were selected as the research subjects using a judgment sampling method. Workers were divided into control, low-level noise exposure and high-level noise exposure groups, consisting of 236, 359, and 586 individuals, respectively. The blood sample was collected for HbA1c test and occupation noise exposure intensity in workplace was detected by an area-sampling method. Results There were no statistical significant differences in HbA1c levels and prediabetes prevalence among the three groups of workers (all P>0.05). After adjusting for potential confounding factors such as years of service, gender, smoking, pack-years of smoking, alcohol consumption, and body mass index, multiple linear regression analysis showed that the high-level noise exposure group had higher HbA1c level than the control group (P<0.05). Multivariable logistic regression analysis results showed that the high-level noise exposure group had higher risk of prediabetes compared with the control group (P<0.05). Conclusion Occupational noise exposure could be a risk factor for the increased HbA1c levels and prediabetes incidence among the occupational population. More attention should be paid to the effects of occupational noise exposure on the HbA1c level in occupational health surveillance.

Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

Objective: To investigate the effects of the interaction between occupational noise exposure and arterial stiffness on blood glucose, so as to provide insights into for early prevention of diabetes among workers exposed to occupational noise. Methods: A total of 518 noise workers were selected from a tobacco plant in Wuhan City. Participants' gender, age and work duration were collected using questionnaire surveys, and participants' height and weight were measured. Blood glucose and arterial stiffness were detected, and the noise intensity was measured in working environments with a personal noise dosimeter. The effects of occupational noise exposure, arterial stiffness and their interactions on blood glucose were examined using a multiple linear regression model. Results: A total of 518 workers were included, with 398 males (76.83%), a mean age of (40.85±10.68) years, a mean working age of (19.50±12.69) years, a mean body mass index of (23.66±3.31) kg/m2, and a mean blood glucose level of (5.15±0.99) mmol/L. There were 247 workers with occupational noise exposure (47.68%) and 175 workers with arterial stiffness (33.78%). Multiple linear regression analysis showed significant associations of noise (β'=0.112) and arterial stiffness (β'=0.168) with blood glucose, and there was an additive interaction between noise and arterial stiffness on blood glucose (β'=0.314). Conclusion The interaction between occupational noise and arterial stiffness affects blood glucose.

Objective To investigate the effect of lead exposure on blood pressure of lead workers. Methods A total of 665 lead workers from some lead-acid battery enterprises in Wuhan were selected as the lead exposure group, and 708 ordinary workers without lead exposure were selected as the control group. The blood pressure in the workers of both groups was measured. The blood lead concentrations were measured in the lead-exposed group. The independent samples t-test was used to compare the blood pressure between the two groups. Linear regression model was used to analyze the relationship between the blood lead concentration and the blood pressure in the lead-exposed group. Logistic regression analysis was used to analyze the relationship between the risk of hypertension and blood lead concentration in lead-exposed group. Results The mean values of systolic blood pressure, diastolic blood pressure and pulse in the lead exposure group were significantly higher than those in the control group, and the difference was statistically significant (P<0.05). There was no significant difference in pulse pressure difference between the two groups (P>0.05). Linear regression analysis revealed that blood lead concentrations were significantly correlated with both systolic and diastolic blood pressure in the lead exposure group. For each increase of 1μg/L of blood lead concentration in the lead exposure group, the systolic blood pressure of lead workers increased by 0.011 mmHg, and the diastolic blood pressure increased by 0.007 mmHg. Logistic regression analysis found that men in the lead-exposed group had a higher risk of hypertension than women. The older the age and the higher the blood lead concentration, the higher the risk of development of hypertension. Conclusion There is a positive correlation between the blood lead concentration and the systolic and diastolic blood pressure in lead workers. The older the lead worker, the higher the risk of developing high blood pressure. The higher the lead concentration in lead workers, the higher the risk of developing high blood pressure.

Background Exposure to tobacco dust or noise is associated with the risk of cardiovascular disease in workers, but there are few studies on their effects on workers' serum bilirubin levels. Objective To analyze the effects of combined exposure to tobacco dust and noise on workers' serum bilirubin levels. Methods We selected 824 employees from a large cigarette factory in Wuhan. According to the status of occupational hazards on site, we divided the participants into a control group (n=149), a tobacco dust exposure group (n=198), a noise exposure group (n=299), and a tobacco dust and noise combined exposure group (n=178). We collected general information of the participants. We collected blood samples and measured serum bilirubin. We used chi-square test to compare between-group categorical indicators. We used analysis of variance to compare measurement data. Taking the control group as the reference category, we used generalized linear regression model to analyze serum bilirubin concentration across the three exposure groups and the control group. Results The abnormal rates of serum indirect bilirubin concentrations in the control group, the tobacco dust exposure group, the noise exposure group, and the tobacco dust and noise combined exposure group were 6.04% (9/149), 12.63% (25/198), 13.38% (40/299), and 17.42% (31/178), respectively, showing a clear increasing trend (P<0.05). The mean concentrations of indirect bilirubin in the tobacco dust and noise combined exposure group were significantly higher than that in the tobacco dust and the noise groups (P<0.05). The serum indirect bilirubin concentrations in the tobacco dust exposure group, the noise exposure group, and the tobacco dust and noise combined exposure group were 1.833, 1.774, and 1.634 times higher than those of the control group (P<0.05). Conclusion Occupational exposure to tobacco dust or noise may associate with elevated serum total bilirubin concentration in cigarette factory workers, mainly indirect bilirubin concentration. Serum indirect bilirubin anomaly is higher among workers simultaneously exposed to tobacco dust and noise.

Objective: To explore the clinical application value of deep convoluti onal neural network for automatic detection and classification of benign and malignant thyroid nodules ultrasound images. Methods: A total of 1 012 ultrasound images of thyroid nodules were retrospectively selected and labeled. The YOLOv5 network model was constructed to accurately locate the location of thyroid nodules and automatically trim the area of the nodules. At the same time , a GoogLeNet network model was constructed to classify benign and malignant nodules after reduction. Results : In the collected data set , the mean accuracy of the target detection network for thyroid nodule location detection was 96. 2% . Meanwhile , the sensitivity, specificity, accuracy and AUC of the classification network for benign and malignant nodules were 0. 885 ,0. 822 ,0. 866 and 0. 92 respectively ,which were significantly higher than those of the AlexNet model (0. 81) , VGG model (0. 86) and MobileNet model (0. 76) . Conclusion The deep convo⁃ lutional neural network model has high localization and recognition ability for benign and malignant thyroid nodules in ultrasound images ,which is helpful to improve the accuracy of automatic image diagnosis.

Objective:To evaluate the associations between the renalase single-nucleotide polymorphisms rs2576178 and rs10887800 and the risk of hypertension in OSA patients. Methods:A total of 3, 570 male OSA subjects diagnosed via standard polysomnography were included in this retrospective study. We recorded anthropometric, genomic, and polysomnographic parameters and blood pressure levels. All subjects were divided into four groups based on quartiles of the apnea-hypopnea index (AHI). The relationships between rs2576178 and rs10887800 and the risk of hypertension were evaluated using the binary logistic regression, and haplotype analysis.Results:In the bottom AHI quartile, rs10887800 was significantly associated with the risk of hypertension according to the dominant model [odds ratio( OR)=0.691, 95% confidence interval ( CI)=0.483-0.990, P=0.044] even after adjustment for age, sex, and the body mass index. The G-A haplotype was associated with a co-effect of the two SNPs, namely, the risk of hypertension decreased ( OR=0.879, 95% CI=0.784-0.986, P=0.028). Conclusions:We find no association between single rs2576178 or rs10887800 variants with the risk of hypertension in our OSA population. But, the synergistic effect of the two polymorphisms is associated with the risk of hypertension in OSA patients.