首页 | 本学科首页   官方微博 | 高级检索  
     

二硫化碳作业女工受孕时间影响因素的研究
引用本文:李佩贤,王志萍,韩连堂,邱玉刚,侯光萍,任永清. 二硫化碳作业女工受孕时间影响因素的研究[J]. 中国职业医学, 2004, 31(5): 23-25
作者姓名:李佩贤  王志萍  韩连堂  邱玉刚  侯光萍  任永清
作者单位:1. 潍坊医学院卫生学教研室,山东,潍坊,261042
2. 潍坊市人民医院职业病科,261042
摘    要:
目的 探讨二硫化碳影响女工受孕时间的危险因素.方法前瞻观察欲生育女工妊娠所需的月经周期数,采用Cox回归分析方法筛选影响女工受孕时间的危险因素.结果接触组女工的平均受孕时间中位数为2.25个月,对照组女工的平均受孕时间中位数为1.70个月,接触组女工的受孕时间明显延长(P<0.001);接触组女工的早早孕丢失率(29.57%)明显高于对照组的早早孕丢失率(13.11%,P<0.001);Cox回归分析提示,二硫化碳作业女工受孕时间延长的主要危险因素是女工接触二硫化碳(P=0.001,RR=0.327)和工作紧张(P=0.001,RR=0.694).结论女工接触二硫化碳和工作紧张可能是导致该行业作业女工受孕时间延长的主要危险因素.

关 键 词:二硫化碳  受孕时间  Cox回归
文章编号:1000-6486(2004)05-0023-03
修稿时间:2004-02-05

Study on the factors influencing pregnancy time in women exposed to carbon disulphide
LI Pei xian,WANG Zhi ping,HAN Lian tang,et al. Study on the factors influencing pregnancy time in women exposed to carbon disulphide[J]. China Occupational Medicine, 2004, 31(5): 23-25
Authors:LI Pei xian  WANG Zhi ping  HAN Lian tang  et al
Abstract:
Objective To observe the risk factors influencing pregnancy time in women exposed to carbon disulphide(CS 2) Methods A prospective observation on the numbers of menstruation cycles needed for getting pregnancy for each woman who attempted to have a baby Cox regression analysis was used to detect the factors collected in the prospective study Results The median cycles for getting successful pregnancy in the exposed group was 2 25 cycles while 1 70 in the control group The pregnancy time in the exposed group was longer than that in the control ( P <0 001) The probabilities of early pregnancy loss were 29 57% in the exposed group and 13 11% in the control ( P <0 001) It was shown that the main factors what enhanced pregnancy time for women were the exposure of CS 2( P <0 001, RR =0 327) and work at high pressure( P <0 001, RR =0 694). Conclusion It was suggested that CS 2 and intensive working might be the main factors on longer pregnancy time of women.
Keywords:Carbon disulphide  pregnancy time  Cox Regression Analysis
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号