1.Effect of lowering the upper limit of normal fasting glucose on the distribution of impaired glucose regulation in the population in Wuhan urban areas
Xinguang QIU ; Hong YAN ; Yubing HU ; Yibing WANG ; Haiping WU ; Lihong PENG
Chinese Journal of Health Management 2009;3(1):26-28
ObjectiveTo analyze the effect of lowering the upper limit of normal fasting glucose on the distribution of impaired gheose regulation(IGR)in the population in Wuhan urban area.MethodsThe health profiles of 1896 people after physical examinations were analyzed by X2 test.ResultsThe low limit for impaired fasting glucose(IFG)was decreased from 6.1 to 5.6 mmol/L,IFG increased 271 patients.the prevalence of IFG increased from 13.1%to 27.4%(X2=62.68,P<0.05),and the value of normal glucose test decreased from 60.3%to 47.5%(X2=120.03,P<0.05).Overweisht or obesity,hypetention,fatty liver,hyperlipidemia,ECG abnormality were significantly different(P<0.05)in groups of fasting glucose 5.6-6.0 mmol/L to<5.6 mmol/L and to 6.1-6.9 mmol/L ConclusionThe new cut point of IFG has significantly influenced the distribution of IGR in the population of Wuhan urban areas.In the newly IFG.increased subjects,metabolic abnormalities of glucose and lipid occur,and an intervention of life-style is needed for them.
2. Influencing factors of drinking behavior of manufacturing workers and its influence on their quality of life
Siyang YE ; Zhengyou CHEN ; Yibing QIU
China Occupational Medicine 2019;46(01):55-60
OBJECTIVE: To analyze the influencing factors of drinking behavior of manufacturing workers and their impact on their quality of life. METHODS: A total of 594 manufacturing workers were selected as research subjects using stratified cluster sampling method. Their drinking behavior, physical activity status and quality of life were investigated by the Drinking Behavior Questionnaire, International Physical Activity Questionnaire-Short Form and Short Form 36 Health Survey Questionnaire, respectively. RESULTS: The overall drinking rate of the subjects was 32.2%(191/594). Multivariate logistic regression analysis results showed that male workers had higher risk of drinking behavior than female workers(P<0.01). The risk of drinking behavior of smoking workers was higher than that of non-smokers(P<0.01). The risk of drinking behavior of workers with medium or high physical activity levels was higher than that of workers with low activity levels(P<0.01). The results of multiple linear regression analysis showed that after adjusting for the effects of gender, age, marital status, education level, monthly income, household registration, length of service, work shift, weekly work hours, industry type, smoking, physical activity level and other confounding factors, drinking did not affect the physical or psychological quality of life of workers(P>0.05). CONCLUSION: Gender, smoking and physical activity may be important factors influencing the drinking behavior of manufacturing workers. Drinking may have no effect on quality of life of manufacturing workers.
3.Reformation and exploration of proteomics course practice teaching for postgraduates in med-ical university
Xuemei ZHANG ; Yibing YIN ; Zhongyin QIU ; Tingxiu XIANG ; Tao FENG ; Yurong YAN ; Faping YI ; Manran LIU ; Zhaode MU ; Lan ZHOU
Chinese Journal of Medical Education Research 2014;(1):41-44,45
Proteomics is an emerging discipline and has been widely used in a variety of fields despite of having very short history in comparison with other disciplines. In Chongqing Medical Univer-sity, the course contents were adjusted to fulfill the most effective integration of proteomics research with postgraduate training program for medical university. Diverse teaching was advocated here and af-ter-school communications were greatly encouraged in teaching. Traditional multimedia teaching plat-form remained the main teaching way and students were organized to visit the research platform as supplementing teaching way. The overall quality and effectiveness of teaching were effectively improved by successful implementation of the above initiatives.
4. Influencing factors of suspected occupational noise-induced deafness in noise-exposed workers
Yibing QIU ; Xingyuan QIU ; Huanfeng BIAN ; Rian YU
China Occupational Medicine 2018;45(01):66-70
OBJECTIVE: To analyze the influencing factors of suspected occupational noise-induced deafness( ONID) in noise-exposed workers. METHODS: A total of 38 770 noise-exposed workers engaged in occupational health examination were collected as the study subjects from 2012-2016 by judgment sampling method. The data of workers' occupational medical examination was collected,and the incidence and influencing factors of suspected ONID were analyzed. RESULTS: A total of 125 cases of suspected ONID were detected and the detection rate was 0. 32%. The result of multivariate Logistic regression showed that male workers exposed to noise had a higher risk of suspected ONID than female workers( P <0. 01). The odds ratio( OR) and 95% confidence interval( CI) were 1. 98( 1. 22-3. 19). The older the age and the longer service length of workers exposed to noise,the higher the risk of suspected ONID( P < 0. 01). The ORs and 95% CIs were 1. 79(1. 43-2. 25) and 1. 84( 1. 47-2. 30) respectively. The noise-exposed workers had a higher risk of suspected ONID in foreign-funded enterprises than domestic-funded enterprises( P < 0. 01). The noise-exposed workers had a higher risk of suspected ONID in metal manufacturing industries than in non-metal manufacturing industries( P < 0. 01). The ORs and 95% CIs were 1. 83(1. 19-2. 82) and 2. 02(1. 40-2. 94) respectively. CONCLUSION: The incidence of suspected ONID is affected by factors of gender,age,length of service,economy type of enterprises and industry type.
5. Analysis on current status and influential factors of occupational stress among couriers
Xingyuan QIU ; Hao DAI ; Xintian YU ; Changlong WU ; Yibing QIU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2019;37(6):446-449
Objective:
To investigate the current status and influencing factors of occupational stress among couriers.
Methods:
Couriers (