• 医学文献
  • 知识库
  • 评价分析
  • 全部
  • 中外期刊
  • 学位
  • 会议
  • 专利
  • 成果
  • 标准
  • 法规
  • 临床诊疗知识库
  • 中医药知识库
  • 机构
  • 作者
热搜词:
换一批
论文 期刊
取消
高级检索

检索历史 清除

医学文献>>
  • 全部
  • 中外期刊
  • 学位
  • 会议
  • 专利
  • 成果
  • 标准
  • 法规
知识库 >>
  • 临床诊疗知识库
  • 中医药知识库
评价分析 >>
  • 机构
  • 作者
热搜词:
换一批

某省矽肺分布特征和流行趋势研究

The spatial distribution and epidemic trend of silicosis in Guangdong province

摘要目的 基于某省2006~2015年矽肺报告数据,探讨矽肺分布特征和流行趋势,为开展职业病风险评估和精准防控提供科学依据.方法 用SPSS 20.0统计分析软件对2006~2015年某省报告的矽肺病例进行描述性分析,病例数、病例构成比、发病工龄、发病年龄的趋势分析采取线性趋势检验.地区分布、行业分布、经济类型分布、企业规模的变化趋势分析采取卡方趋势检验.采用Arc GIS12.0软件进行自相关分析和趋势面分析.结果 2006~2015年,某省报告矽肺病例1 428例,其中男性1 391例,占97.41%,平均发病年龄为45(39,51)岁,平均发病工龄为9(5.5,15)年,主要集中在佛山、深圳、中山、广州地区(841例,占58.89%).以私有经济为主(占59.1%),以中、小企业为主(32.4%和37.3%),以建材业和矿产业为主(32.1%和22.9%).病例数、发病年龄、发病工龄呈上升趋势,中型企业构成比呈增高趋势,建材行业构成比呈增高趋势,差异有统计学意义(P<0.05).地区、经济类型和年龄分布的年度变化趋势无统计学意义(P>0.05).某省矽肺非随机分布并具有空间相关性,呈现由南往北、由东向西均逐渐升高后降低,倒U型的分布趋势.禅城、南海、顺德、番禺、东莞、蓬江、中山等地区呈高-高聚集,五华呈高-低离散型,差异有统计学意义(P<0.05).结论 某省2006~2015年矽肺病例数、发病年龄和发病工龄呈上升趋势,职业病行业分布和企业规模分布呈现一定变化趋势.空间分布上存在高-高聚集和高低离散的现象并具有空间相关性.应依据某省矽肺的流行趋势和分布规律开展矽肺风险评估和防控工作.

更多

abstractsObjective To investigate the characteristics,temporal trend of silicosis,and provide basis for risk assessment and precise prevention and control of occupational diseases.Methods Using descriptive statistics to analyze the reported cases of silicosis by SPSS 20.0 software.Repotted silicosis cases,the constituent ratio,the incidence age and the working age at onset were analyzed by a linear trend test.Analyzing the variation trends of regional,industry,economic type and enterprise scale distributions by the chi-square trend test.Moreover,using Moran's I method for spatial autocorrelation analysis and trend-surface analysis.Results (1) During 2006 to 2015,Guangdong province had reported 1,428 cases of silicosis,mainly gathered in Foshan,Zhongshan,Guangzhou,Shenzhen,which included 1391 male cases accounting for 97.41%.And the average incidence age was 45 (39,51).The average working age of onset was 9 (5.5,15).In economic type distribution,the private economy took the main part,accounting for 59.1%.In enterprise scale distribution,it was dominated by small and medium enterprises (SMEs),accounting for 32.4% and 37.3% respectively.In industry distribution,most cases were gathered in materials and mining industry,accounting for 32.1% and 22.9% respectively.(2) The number of silicosis cases,the incidence age and the working age of onset showed a rising trend (P<0.01).Meanwhile,the constituent ratios of medium-sized enterprises and building materials industry were increasing (P<0.05).The annual variation trends of regional,economic type and age distributions were not statistically significant (P> 0.05).(3) The spatial distribution trend showed an inverted U type,which was firstly raised and then declined from south to north and from east to west.The distribution characteristic demonstrated some high-high cluster areas,including Chancheng,Nanhai,Shunde,Panyu,Dongguan,Pengjiang,and Zhongshan.While Wuhua showed a high-low outlier form (P<0.01).Conclusion Silicosis cases,age and working age of onset were on the rise,as well as the industry and enterprise scale distributions of occupational diseases presented a certain trend in Guangdong province from 2006 to 2015.There were high-high cluster and high-low outlier phenomena in spatial distribution with spatial correlation.Therefore,our work of silicosis epidemic trend and distribution may provide some bases for the occupational disease risk assessment and control.

More
广告
作者 李旭东 [1] 瞿红鹰 [2] 温贤忠 [2] 屠鸿薇 [3] 袁燕 [4] 余宏伟 [2] 刘志婷 [3] 周珊宇 [2] 戚亚洲 [4] 刘移民 [5] 学术成果认领
栏目名称 调查研究
DOI 10.3760/cma.j.issn.1001-9391.2018.09.004
发布时间 2018-11-06
基金项目
国家科技支撑计划项目 广东省职业病防治重点实验室 广东省省级工业与信息化发展专项资金互联网+技术应用项目 广东省医学科研基金
  • 浏览313
  • 下载80
中华劳动卫生职业病杂志

中华劳动卫生职业病杂志

2018年36卷9期

662-666页

MEDLINEISTICPKUCSCDCA

加载中!

相似文献

  • 中文期刊
  • 外文期刊
  • 学位论文
  • 会议论文

加载中!

加载中!

加载中!

加载中!

扩展文献

特别提示:本网站仅提供医学学术资源服务,不销售任何药品和器械,有关药品和器械的销售信息,请查阅其他网站。

  • 客服热线:4000-115-888 转3 (周一至周五:8:00至17:00)

  • |
  • 客服邮箱:yiyao@wanfangdata.com.cn

  • 违法和不良信息举报电话:4000-115-888,举报邮箱:problem@wanfangdata.com.cn,举报专区

官方微信
万方医学小程序
new翻译 充值 订阅 收藏 移动端

官方微信

万方医学小程序

使用
帮助
Alternate Text
调查问卷