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1.
Chinese Journal of Health Management ; (6): 515-519, 2023.
Artigo em Chinês | WPRIM | ID: wpr-993694

RESUMO

Objective:To explore the causal relationship between body mass index (BMI) and hypothyroidism using the two-sample Mendelian randomization model.Methods:A large-scale anthropometric genome-wide association study published in the GIANT database was used to select single nucleotide polymorphisms (SNPs) which were statistically significantly associated with BMI as an instrumental variable ( P<5×10 -8, linkage disequilibrium r 2<0.1). The causal relationship between BMI and hypothyroidism was determined by the inverse variance weighted (IVW), weighted median method and the MR-Egger method, respectively. A heterogeneity test, gene pleiotropy test, and sensitivity analysis were performed to evaluate the stability and reliability of the results. Results:A total of 89 SNPs related to BMI were screened out as instrumental variables. IVW analysis suggested that for every standard deviation increase in BMI, the risk of hypothyroidism increased by 0.9% (odd ratio ( OR)=1.009, 95% confidence interval ( CI): 1.006-1.012, P<0.001). Similar results were obtained with the weighted median method ( OR=1.007, 95% CI: 1.002-1.011, P=0.003) and the MR-Egger method ( OR=1.008, 95% CI: 1.001-1.015, P=0.006). The MR-Egger analysis showed that genetic pleiotropy did not bias the results (intercept=0.000 1, P=0.776), the one-by-one exclusion method did not show that a single instrumental variable SNP had a significant impact on the results, and the difference was not statistically significant ( P>0.05). Conclusion:Mendelian randomized analysis showed a positive causal relationship between BMI and hypothyroidism.

2.
China Occupational Medicine ; (6): 326-330, 2019.
Artigo em Chinês | WPRIM | ID: wpr-881799

RESUMO

OBJECTIVE: To investigate the current status of occupational stress and quality of life( QOL) in medical staffs of Shenzhen City. METHODS: A total of 992 medical stuffs from 4 hospitals of Shenzhen City were selected as study subjects by using the stratified random sampling method. The Occupational Stress Inventory Revised Edition and SF-36 Questionnaire were used to investigate the occupational stress and QOL. RESULTS: The rate of high occupational strain in medical staffs of Shenzhen is 48. 8%. According to the results of multivariate stepwise regression analysis,the influencing factors for physical component summary of QOL were profession,education,occupational strain,personal coping resource,length of service and work hours( P < 0. 05). The influencing factors of mental component summary of QOL were age,occupational strain,personal coping resource,length of service,work hours and gender( P < 0. 05). CONCLUSION: Occupational stress is a factor influencing the physical and mental health of medical staffs in Shenzhen City. High occupational stress and lack of coping resources can reduce the QOL.

3.
Chinese Journal of Industrial Hygiene and Occupational Diseases ; (12): 596-601, 2019.
Artigo em Chinês | WPRIM | ID: wpr-805685

RESUMO

Objective@#To investigate the current status of occupational stress in medical staff in Shenzhen, China, and to provide a reference for developing health administrative policy and reducing occupational stress in medical staff.@*Methods@#From January to June, 2018, a cross-sectional survey was performed in 992 medical workers who were selected from 2 municipal hospitals and 2 district hospitals by stratified random sampling. General information was collected, Occupational Stress Inventory-Revised Edition was used to investigate occupational stress, and univariate and multivariate analyses were performed based on a descriptive analysis of related results.@*Results@#For the medical staff in Shenzhen, the scores of Occupational Role Questionnaire, Personal Stress Questionnaire, and Personal Resources Questionnaire were 185.67±17.55, 108.45±15.56, and 122.74±16.56, respectively. Age, degree of education, type of work, job title, professional title, and permanent or temporary job were influencing factors for occupational task (P<0.05) ; age, working years, type of work, and night shift were influencing factors for personal stress response (P<0.05) ; working years, type of work, professional title, and weekly working hours were influencing factors for personal coping resources (P<0.05) .@*Conclusion@#There is a high degree of occupational stress among medical staff in Shenzhen, and it is recommended to improve medical resources in Shenzhen, reduce occupational stress among medical staff, and increase coping resources.

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