摘要
目的探讨钢铁工人夜光暴露(light at night,LAN)与非酒精性脂肪肝(nonalcohol fatty liver disease,NAFLD)的关系。方法采用现况研究,通过收集某钢铁企业员工的问卷、体检和血生化指标信息,采用限制性立方样条模型(restricted cubic spline,RCS)结合多因素Logistic回归分析LAN对NAFLD的影响。结果该企业工人NAFLD患病率为33.8%(2594/7664),在调整年龄、性别、婚姻、教育程度、吸烟、饮酒、体重指数、生活中夜光强度、肝酶代谢、血脂水平、体力活动、饮食、睡眠时间、倒班、高温、噪声、粉尘、一氧化碳暴露情况后,RCS模型结果显示:LAN与NAFLD之间存在非线性剂量反应关系(整体关联性检验χ^2=71.59,P<0.001;非线性检验χ^2=16.92,P<0.001);多因素Logistic回归分析结果显示,在校正相关混杂因素后,以LAN为0~1178 d组为参照,LAN在1178 d^2017 d和2017 d~组时,钢铁工人NAFLD患病风险的比值比和95%可信区间分别为1.217(1.027~1.441)和1.479(1.240~1.763)。结论夜光暴露与钢铁工人NAFLD之间存在非线性剂量反应关系。
Objective To explore the relationship between light at night(LAN)and nonalcoholic fatty liver(NAFLD)in steel workers.Methods Relevant information was collected through questionnaires,physical examinations and blood biochemical analysis.Using restricted cubic spline(RCS)and mutiple Logistic regression model to explore the relationship between LAN and NAFLD based on a cross-sectional study.Results The prevalence of NAFLD was 33.8%(2594/7664)in steel workers.After adjusting for age,sex,marriage,educational level,smoking,drinking,body mass index,luminous intensity in life,liver enzyme metabolism,blood lipid level,physical activity,diet,sleep duration,shift work,high temperature,noise,dust,and carbon monoxide exposure,the RCS model showed a nonlinear dose-response relationship between LAN and NAFLD(χ^2=71.59,P<0.001 for overall association test andχ^2=16.92,P<0.001 for nonlinear test);Multivariate Logistic regression model showed that after adjusting for all confounding factors,when the LAN in the 1178 d^2017 d and 2017 d^group,the prevalence of NAFLD increased by 21.7%(OR=1.217,95%CI:1.027-1.441)and 47.9%(OR=1.479,95%CI:1.240-1.763),respectively,when compared with the group LAN<1178 d.Conclusion There is a nonlinear dose-response relationship between LAN and NAFLD in steel works.
作者
王镇德
王涵
杨荔
薛超
王永斌
张生奎
袁聚祥
WANG Zhen-de;WANG Han;YANG Li;XUE Chao;WANG Yong-bin;ZHANG Sheng-kui;YUAN Juxiang(Department of Epidemiology and Health Statistics,School of Public Health,North China University of Technology,Tangshan 063000,China)
出处
《中华疾病控制杂志》
CAS
CSCD
北大核心
2019年第11期1353-1357,1363,共6页
Chinese Journal of Disease Control & Prevention
基金
国家科技部重点研发项目(2016YFC0900605)
河北省重点职业病防治技术研究(13277709D)
河北省研究生创新项目(2019S09)~~
