Humans ; Vascular Stiffness ; Coal Mining ; Occupational Diseases/epidemiology* ; Risk Factors ; Coal ; Miners

Objective Studies on the relationship between iodine,vitamin A(VA),and vitamin D(VD)and thyroid function are limited.This study aimed to analyze iodine and thyroid-stimulating hormone(TSH)status and their possible relationships with VA,VD,and other factors in postpartum women. Methods A total of 1,311 mothers(896 lactating and 415 non-lactating)from Hebei,Zhejiang,and Guangxi provinces were included in this study.The urinary iodine concentration(UIC),TSH,VA,and VD were measured. Results The median UIC of total and lactating participants were 142.00 μg/L and 139.95 μg/L,respectively.The median TSH,VA,and VD levels in all the participants were 1.89 mIU/L,0.44 μg/mL,and 24.04 ng/mL,respectively.No differences in the UIC were found between lactating and non-lactating mothers.UIC and TSH levels were significantly different among the three provinces.The rural UIC was higher than the urban UIC.Obese mothers had a higher UIC and a higher prevalence of excessive TSH.Higher UICs and TSHs levels were observed in both the VD deficiency and insufficiency groups than in the VD-sufficient group.After adjustment,no linear correlation was observed between UIC and VA/VD.No interaction was found between vitamins A/D and UIC on TSH levels. Conclusion The mothers in the present study had no iodine deficiency.Region,area type,BMI,and VD may be related to the iodine status or TSH levels.

Objective To explore the application effect of multi-disciplinary team(MDT)model in hospital antimi-crobial management.Methods Relevant data on antimicrobial use in hospitalized patients in a hospital from January 2021 to December 2022 were analyzed retrospectively,January-December 2021 adopted conventional management mode and was as the control group,January-December 2022 adopted MDT management model and was as the inter-vention group.Antimicrobial therapy relevant indicators between two groups of patients were compared.Results After adopting the MDT management model,pathogen detection rate before the therapeutic antimicrobial use in the intervention group(73.62％)was higher than that in the control group(70.56％),difference was statistically sig-nificant(P＜0.001).Pathogen detection rate related to healthcare-associated infection diagnosis was 87.98％in the control group and 88.89％in the intervention group,with no statistically significant difference between two groups(P＞0.05).Pathogen detection rate before combined use of key antimicrobial agents in the intervention group(93.94％)was higher than that in the control group(92.00％),difference was statistically significant(P＜0.05).Antimicro-bial use rate in hospitalized patients and use rate of prophylactic antimicrobial agents in class Ⅰ incision surgery de-creased from 38.03％and 21.03％to 32.78％and 10.30％,respectively,with statistically significant differences(both P＜0.05).The amount and intensity of antimicrobial use in hospitalized patients in the intervention group de-creased.The implementation rate of bundled prevention and control measures for multidrug-resistant organism(MDRO)after intervention was significantly higher than that of the control group,with statistically significant differences(all P＜0.05).MDRO detection rate decreased from 34.70％to 32.37％,difference was statistically significant(P=0.027).there was no significant change in the MDRO case infection rate.Conclusion The MDT model can effectively improve the standardized management of antimicrobial agents,promote the rational use of anti-microbial agents in clinical practice,and prevent bacterial resistance.

Objective:To construct a simple model of arteriovenous fistula classification,and to achieve the classification of arteriovenous fistula in hemodialysis patients.Methods:The study was a retrospective analysis, a total of 304 hemodialysis patients with internal fistula in People′s Hospital of Deyang City from January 2016 to January 2021 were selected by convenience sampling method,depending on whether the internal fistula was dysfunctional, patients were divided into 64 in the internal fistula failure group and 240 in the internal fistula patency group. Independent influence factors and their regression coefficient were obtained by single-factor analysis and logistic regression analysis, The risk score formula was established based on the regression coefficient to form a simple model of internal fistula classification.The model was evaluated by receiver operating characteristic curve and the scoring criteria for internal fistula classification was determined.Results:Logistic regression analysis showed that diabetes mellitus, hypotension, age≥60 years old, compression time≥30 min, blood phosphorus>1.78 mmol/L, triglyceride>1.71 mmol/L and fibrinogen>4 g/L were independent influencing factors of internal fistula failure (all P<0.05).The area under the receiver operating characteristic curve was 0.858(95% CI 0.789-0.928, P<0.01), and the best critical value of the internal fistula classification was 7.5, the sensitivity was 80.4% and the specificity was 84.8%. Conclusions:By obtaining the predictors of internal fistula failure, conducted the risk score, and constructed a simple model of internal fistula classification, which can effectively predicted the risk of internal fistula failure. It is conducive to the implementation of internal fistula classification management and the puncture of corresponding grade, to ensure the pathway safety of patients.

Objective: To explore the epidemiological characteristic of a COVID-19 outbreak caused by 2019-nCoV Omicron variant BF.7 and other provinces imported in Shenzhen and analyze transmission chains and characteristics. Methods: Field epidemiological survey was conducted to identify the transmission chain, analyze the generation relationship among the cases. The 2019-nCoV nucleic acid positive samples were used for gene sequencing. Results: From 8 to 23 October, 2022, a total of 196 cases of COVID-19 were reported in Shenzhen, all the cases had epidemiological links. In the cases, 100 were men and 96 were women, with a median of age, M (Q₁, Q₃) was 33(25, 46) years. The outbreak was caused by traverlers initial cases infected with 2019-nCoV who returned to Shenzhen after traveling outside of Guangdong Province.There were four transmission chains, including the transmission in place of residence and neighbourhood, affecting 8 persons, transmission in social activity in the evening on 7 October, affecting 65 persons, transmission in work place on 8 October, affecting 48 persons, and transmission in a building near the work place, affecting 74 persons. The median of the incubation period of the infection, M (Q₁, Q₃) was 1.44 (1.11, 2.17) days. The incubation period of indoor exposure less than that of the outdoor exposure, M (Q₁, Q₃) was 1.38 (1.06, 1.84) and 1.95 (1.22, 2.99) days, respcetively (Wald χ²=10.27, P=0.001). With the increase of case generation, the number and probability of gene mutation increased. In the same transmission chain, the proportion of having 1-3 mutation sites was high in the cases in the first generation. Conclusions: The transmission chains were clear in this epidemic. The incubation period of Omicron variant BF.7 infection was shorter, the transmission speed was faster, and the gene mutation rate was higher. It is necessary to conduct prompt response and strict disease control when epidemic occurs.
Male ; Humans ; Female ; SARS-CoV-2 ; COVID-19/epidemiology* ; Disease Outbreaks ; Epidemics ; China/epidemiology*

The National Disease Control and Prevention Bureau and the National Health Commission jointly issued an announcement on Notice on Carrying out Pilot Work of Occupational Health Classification Supervision and Law Enforcement, which presented a method of comprehensive risk assessment method of occupational disease hazards of employers. This method embraces relevant factors at full scale and is simple in operation, but its applicability and accuracy of assessment results need further practical study. Based on the steps of occupational health risk assessment and proven occupational health risk assessment methods available at home and abroad, this paper proposed improvements and discussed the comprehensive risk assessment method of occupational disease hazards of employers, so as to provide a technical basis to implement the occupational disease hazard classification management of employers for relevant government supervision departments.

Objective To investigate the food preferences and explore the potential association between dietary knowledge and food preferences in residents aged 18 and over in China,so as to provide a basis for promoting healthy diets.Methods The latent class analysis was carried out with the 2015 cross-sectional data of China health and nutrition survey to categorize the food preferences among 8 783 residents aged 18 and over.Multinomial Logistic regression was adopted to assess the association between and dietary knowledge and food preferences.Results The food preferences of the residents aged 18 and over in China were classified into preference for less vegetable(3.28%),lack of preference(11.20%),diverse preferences(4.19%),and preference for healthy diets(81.33%).The proportion of the adults with dietary knowledge was 36.87%(3 238/8 783).The dietary knowledge varied in the adults with different food preferences(all P<0.001).After adjusting for gender,age,urban and rural distribution,education background,and annual household income,for each point increase in the dietary knowledge score,there was an estimated reduction of 22% in the probability of preferring less vegetables(OR=0.78,95%CI=0.76-0.80, P<0.001),13% in the probability of lacking preference(OR=0.87,95%CI=0.86-0.89, P<0.001),and 3% in the probability of having diverse preferences(OR=0.97,95%CI=0.94-1.00, P=0.030).Compared with those lacking dietary knowledge,the individuals with dietary knowledge had a 77% less probability of preferring less vegetables(OR=0.23,95%CI=0.16-0.32, P<0.001),a 55% less probability of lacking preference(OR=0.45,95%CI=0.39-0.53, P<0.001),and a 23% less probability of having diverse preferences(OR=0.77,95%CI=0.61-0.96, P=0.023).Conclusions The residents aged 18 and over in China presented four food preferences,including preference for less vegetables,lack of preference,diverse preferences,and preference for healthy diets,the last of which had the highest proportion.The individuals with lower levels of dietary knowledge have higher probability of preferring unhealthy food.
Adult ; Humans ; Adolescent ; Food Preferences ; Latent Class Analysis ; Cross-Sectional Studies ; Diet ; Nutrition Surveys ; China

Objective To compare the consistency of quantitative ultrasound(QUS)and dual-energy X-ray absorptiometry(DXA)in measuring bone mineral density(BMD)of adults aged 18-40 years in Guangzhou and evaluate the diagnostic value of QUS for identifying low bone mass.Methods DXA was employed to measure the BMD and QUS to measure the speed of sound(SOS)in 731 participants.The Bland-Altman analysis was performed to evaluate the consistency of Z scores between SOS and BMD.With the BMD Z ≤-2.00 as the diagnostic criterion for low bone mass,the receiver operating characteristics curve of QUS was established,and the area under the curve(AUC)and the sensitivity,specificity,and correct diagnostic index for the optimal cut-off of SOS Z score were calculated.Results The results of Bland-Altman analysis showed that the mean differences in the Z scores of SOS and BMD in males and females were 1.27(-0.94 to 3.47)and 0.93(-1.33 to 3.18),respectively.The AUC of SOS Z score in the diagnosis of low bone mass in males and females was 0.734(95%CI=0.380-0.788)and 0.679(95%CI=0.625-0.732),respectively.In males,the optimal cut-off of SOS Z score for low bone mass was -0.35,with the sensitivity,specificity,and correct diagnostic index of 64.1%,68.6%,and 0.327,respectively.In females,the optimal cut-off value of SOS Z scores for low bone mass was -1.14,with the sensitivity,specificity,and correct index of 73.9%,54.8%,and 0.285,respectively.Conclusion QUS and DXA show poor consistency in the diagnosis of BMD in the adults aged 18-40 years in Guangzhou,while QUS demonstrates an acceptable value in identifying low bone mass.
Male ; Female ; Adult ; Humans ; Absorptiometry, Photon/methods* ; Bone Density ; Ultrasonography ; Bone and Bones ; ROC Curve ; Sensitivity and Specificity

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q₁, Q₃) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q₁, Q₃) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans ; Male ; Middle Aged ; Young Adult ; Adult ; COVID-19/epidemiology* ; Incidence ; SARS-CoV-2 ; Logistic Models

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q₁, Q₃) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q₁, Q₃) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans ; Male ; Middle Aged ; Young Adult ; Adult ; COVID-19/epidemiology* ; Incidence ; SARS-CoV-2 ; Logistic Models