某钢铁集团工人主要职业有害因素与2型糖尿病的关系研究
发布时间：2019-06-01 08:09
【摘要】：目的探讨钢铁工人主要职业有害因素倒班、高温、噪声、粉尘、CO和钢铁工人2型糖尿病(T2DM)患病率间是否存在关联。方法采用现况研究的方法,选取2015年6月至2016年6月在某钢铁集团公司所属医院进行职业健康体检和健康体检的全部钢铁工人8564人,用于分析8379人。收集资料包括钢铁工人人口学特征、生活方式、个人病史及家族史、职业史。采用Epidata3.1建立数据库。计数资料使用率或构成比表示,单因素分析采用χ2检验。多因素统计分析方法采用多因素非条件logistic回归进行,筛选出钢铁工人主要职业有害因素与T2DM患病率相关的因素。钢铁工人职业有害因素累积暴露量与T2DM患病率的剂量-反应关系分析选择限制性立方样条进行,并在SAS9.4软件中绘制出反应累积暴露量和患病风险的限制性立方样条图。采用双侧检验,检验水准α=0.05。结果1钢铁工人中倒班人群66.4%;暴露高温人群53.1%;暴露噪声人群54.9%;暴露粉尘人群59.7%;暴露一氧化碳人群47.8%。2职业有害因素单因素分析结果显示:倒班、粉尘、一氧化碳与T2DM患病率差异具有统计学意义(P0.05)。高温、噪声与T2DM患病率差别无统计学意义(P0.05)。3职业有害因素多因素非条件logistic模型分析结果显示:在只调整一般因素的情况下,以相应非暴露人群为对照,倒班、粉尘、CO暴露人群T2DM患病风险比非暴露人群高,分别是非暴露人群的1.372倍(95%CI:1.198~1.571)、1.340倍(95%CI:1.180~1.522)、1.346倍(95%CI:1.192~1.520)。在调整一般因素及其它职业有害因素时,以相应非暴露人群为对照,得到与只调整一般因素类似的结果,倒班、粉尘、CO暴露人群T2DM患病风险比非暴露人群高,分别是非暴露人群的1.379倍(95%CI:1.204~1.578)、1.338倍(95%CI:1.177~1.520)、1.278倍(95%CI:1.127~1.448),高温、噪声与糖尿病患病率无相关性。因此倒班、粉尘、CO均为T2DM患病的危险因素,而高温、噪声与糖尿病患病率无相关性。4对5562个暴露倒班人群进行限制性立方样条分析。调整一般因素和职业有害因素,倒班年限与T2DM关联强度有统计学意义(χ2=18.68,P0.0001)且呈线性相关(χ2=0.51,P=0.4739)。T2DM患病风险随着倒班年限持续增加而增加。5对5105个暴露粉尘人群进行限制性立方样条分析。调整一般因素和职业有害因素,粉尘累积暴露量与T2DM关联强度有统计学意义(χ2=27.22,P0.0001)且呈非线性相关(χ2=4.88,P0.0001)。开始增加,T2DM患病风险随着粉尘累积暴露量持续增加而增加。6对4060个暴露CO人群进行限制性立方样条分析。调整一般因素和职业有害因素,CO累积暴露量与T2DM关联强度有统计学意义(χ2=46.56,P0.0001)且呈线性相关(χ2=0.40,P=0.6526)。T2DM患病风险随着CO累积暴露量持续增加而增加。结论1倒班、粉尘、CO与T2DM患病率有关,是糖尿病的危险因素。2 T2DM的患病风险随着倒班年限、粉尘累积暴露量、CO累积暴露量的增加呈增加趋势。
[Abstract]:Objective to investigate the relationship between shift, high temperature, noise, dust, CO and the prevalence of type 2 diabetes mellitus (T2DM) in iron and steel workers. Methods from June 2015 to June 2016, 8564 iron and steel workers who underwent occupational health examination and physical examination in the hospital of an iron and steel group company were selected to analyze 8379 iron and steel workers. The data included demographic characteristics, lifestyle, personal and family history and occupational history of iron and steel workers. Epidata3.1 is used to establish the database. The utilization rate or constituent ratio of counting data was expressed by single factor analysis. Multivariate statistical analysis was carried out by multivariate unconditional logistic regression to screen out the main occupational harmful factors related to the prevalence of T2DM in iron and steel workers. The dose-response relationship between the cumulative exposure of occupational harmful factors and the prevalence of T2DM in iron and steel workers was analyzed by restricted cubic splines, and the restricted cubic splines of response cumulative exposure and disease risk were drawn in SAS9.4 software. Using bilateral test, the test level 伪 = 0.05. Results 1the shift population of iron and steel workers was 66.4%, the high temperature exposed population was 53.1%, the noise exposed population was 54.9%, the dust exposed population was 59.7%, and the workers exposed to high temperature were 53.1%, 54.9% and 59.7%, respectively. The results of univariate analysis of occupational harmful factors in 47.8% of the exposed population showed that there was significant difference in the prevalence of shift, dust, carbon monoxide and T2DM (P 0.05). There was no significant difference in the prevalence of high temperature, noise and T2DM (P 0.05). 3 the results of multivariate unconditional logistic model analysis of occupational harmful factors showed that under the condition of only adjusting the general factors, the corresponding non-exposed population was taken as the control, and the shift was taken as the control. The risk of T2DM in dust and CO exposed population was 1.372 times (95%CI:1.198~1.571) and 1.340 times (95%CI:1.180~1.522) higher than that in non-exposed population, respectively. 1.346 times (95%CI:1.192~1.520). When adjusting the general factors and other occupational harmful factors, compared with the corresponding non-exposed population, the results were similar to those of only adjusting the general factors. The risk of T2DM in shift, dust and CO exposed population was higher than that in non-exposed population. 1.379 times (95%CI:1.204~1.578), 1.338 times (95%CI:1.177~1.520) and 1.278 times (95%CI:1.127~1.448) of non-exposed population, high temperature and noise were not correlated with the prevalence of diabetes mellitus. Therefore, shift, dust and CO were the risk factors of T2DM, but there was no correlation between high temperature, noise and the prevalence of diabetes mellitus. 4 restricted cubic splines analysis was performed in 5562 exposed shift people. After adjusting for general factors and occupational harmful factors, the correlation intensity between shift years and T2DM was statistically significant (蠂 ~ 2 鈮，
本文编号：2490120
[Abstract]:Objective to investigate the relationship between shift, high temperature, noise, dust, CO and the prevalence of type 2 diabetes mellitus (T2DM) in iron and steel workers. Methods from June 2015 to June 2016, 8564 iron and steel workers who underwent occupational health examination and physical examination in the hospital of an iron and steel group company were selected to analyze 8379 iron and steel workers. The data included demographic characteristics, lifestyle, personal and family history and occupational history of iron and steel workers. Epidata3.1 is used to establish the database. The utilization rate or constituent ratio of counting data was expressed by single factor analysis. Multivariate statistical analysis was carried out by multivariate unconditional logistic regression to screen out the main occupational harmful factors related to the prevalence of T2DM in iron and steel workers. The dose-response relationship between the cumulative exposure of occupational harmful factors and the prevalence of T2DM in iron and steel workers was analyzed by restricted cubic splines, and the restricted cubic splines of response cumulative exposure and disease risk were drawn in SAS9.4 software. Using bilateral test, the test level 伪 = 0.05. Results 1the shift population of iron and steel workers was 66.4%, the high temperature exposed population was 53.1%, the noise exposed population was 54.9%, the dust exposed population was 59.7%, and the workers exposed to high temperature were 53.1%, 54.9% and 59.7%, respectively. The results of univariate analysis of occupational harmful factors in 47.8% of the exposed population showed that there was significant difference in the prevalence of shift, dust, carbon monoxide and T2DM (P 0.05). There was no significant difference in the prevalence of high temperature, noise and T2DM (P 0.05). 3 the results of multivariate unconditional logistic model analysis of occupational harmful factors showed that under the condition of only adjusting the general factors, the corresponding non-exposed population was taken as the control, and the shift was taken as the control. The risk of T2DM in dust and CO exposed population was 1.372 times (95%CI:1.198~1.571) and 1.340 times (95%CI:1.180~1.522) higher than that in non-exposed population, respectively. 1.346 times (95%CI:1.192~1.520). When adjusting the general factors and other occupational harmful factors, compared with the corresponding non-exposed population, the results were similar to those of only adjusting the general factors. The risk of T2DM in shift, dust and CO exposed population was higher than that in non-exposed population. 1.379 times (95%CI:1.204~1.578), 1.338 times (95%CI:1.177~1.520) and 1.278 times (95%CI:1.127~1.448) of non-exposed population, high temperature and noise were not correlated with the prevalence of diabetes mellitus. Therefore, shift, dust and CO were the risk factors of T2DM, but there was no correlation between high temperature, noise and the prevalence of diabetes mellitus. 4 restricted cubic splines analysis was performed in 5562 exposed shift people. After adjusting for general factors and occupational harmful factors, the correlation intensity between shift years and T2DM was statistically significant (蠂 ~ 2 鈮，
本文编号：2490120
本文链接：https://www.wllwen.com/yixuelunwen/yufangyixuelunwen/2490120.html
