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混合效应模型在研究接触—效应关系中的应用 被引量:1

Application of Mixed Effect Model to the Study of Exposure-effect Relationship
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摘要 目的用混合效应模型研究工人接苯水平与白细胞水平的关系及其影响因素,并确定最适接触剂量指标。方法在21个体检年度分别对每个研究对象的每次体检时估算区域浓度、8 h时间加权平均浓度(TWA8)、年度接触水平和累积接触水平。将接触水平定义为协变量,白细胞计数定义为效应变量,用混合效应模型分析剂量—效应关系。结果共观察接苯对象147名26 292人月,白细胞计数样本1 147份、对照组66名14 112人月白细胞计数样本396份。接触组、对照组白细胞计数平均水平分别为5.36×109,6.13×109/L。平均区域浓度、TWA8、年度接触水平和累积接触水平分别为5.10 mg/m3,4.69 mg/m3,72.90 mg/m3.月,783.70 mg/m3.月。4个混合效应模型均能收敛,其中以TWA8信息标准值最低。工人接苯水平增加、接触时间增长,白细胞水平下降。性别、吸烟与否对白细胞水平无明显影响。结论工人接苯水平和时间明显影响工人白细胞水平,TWA8可能是最适接触剂量指标。 Objective To study the relationship of benzene exposure level and leukocyte count and its risk factors by mixed effect model, and to determine the most appropriate index of exposure level. Methods Area concentrations, 8 hours time weighted averages(TWA8 ), yearly levels and cumulated exposure levels were assessed respectively for every case within 21 physical check years. Defining exposure levels and leukocyte counts as co-variables and leukocyte counts as effect variables, the dose-effect relationship was analyzed by mixed effect model. Results 147 benzene exposed workers were observed for 26 292 personmonths collecting 1 147 leukocyte count samples. 396 leukocyte count .samples collected from 66 workers within 14 112 per.son-months were taken as the controls. The mean values of leukocyte counts for exposed cases and the controls were 5.36×10^9/L and 6.13 × 10^9/L respectively. The mean area exposure levels, TWAs, yearly levels and cumulated levels were 5.10 mg/m^3, 4.69 mg/m^3, 72.90 mg/m^2· month and 783.70 mg/m^3 month. All four mixed effect model.s could converge, among them the critical information value of TWA8 model was the lowest. Leukocyte counts decreased with the increase of exposure level and time. No significant effect was found to be associated with the leukocyte count levels and sex or smoking. Conclusions For benzene exposed workers, the exposure level and time remarkably affect the leukocyte counts. TWA8 might be the most appropriate index of exposure level.
出处 《工业卫生与职业病》 CAS CSCD 北大核心 2007年第4期193-196,共4页 Industrial Health and Occupational Diseases
关键词 混合效应模型 接触-效应关系 TWA Mixed effect model Exposure-effect relationship Benzene TWA8
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  • 1Van hemmen JJ. EUROPOEM, a predictive occupational exposure database for registration purposes of pesticides [J].Appl Occup Environ Hyg, 2001, 16:246-250.
  • 2任仕泉,代宏坤.混合效应模型在儿童生长发育研究中的应用[J].数理统计与管理,2001,20(4):25-28. 被引量:2
  • 3Rothman N, Li G, Dosemeci M, et al. Hematotoxicity among Chinese workers heavily exposed to benzene [J].Am J Med, 1996, 29:236-246.
  • 4Qing Lan, Luoping Zhang, Guilan Li, et al. Hematotoxicity in workers exposed to low levels of benzene[J].Science, 2004, 306:1774-1776.
  • 5Qingshan Qu, Roy Shore, Guilan Li, et al. Hematological changes among Chinese workers with a broad range of benzene exposures [J]. Am J Ind Med, 2002, 42: 275-285.
  • 6Dosemeci M, Yin SN, Liner M, et al. Indirect validation of benzene exposure assessment by association with benzene poisoning [J]. Environ Healtha Perspect, 1996, 104(6): 1343-1347.
  • 7Sadik K, Michele Y, Michael B. Assessment of complete blood count variations among workers exposed to low levels of benzene[J]. JOEM, 1999, 14(9) : 821-825.
  • 8何永华,苗丽壮,傅华.职业接触评估方法研究进展[J].中华劳动卫生职业病杂志,2005,23(1):58-60. 被引量:3
  • 9傅慰祖,汪根盛.职业危害评估中的接触评定[J].中华劳动卫生职业病杂志,2000,18(5):295-296. 被引量:1

二级参考文献24

  • 1Harber P, Muranko H, Shvartsblat S, et al. A triangulation approach to historical exposure assessment for the carbon black industry. Am Col Occup Envir Med,2003,45:131-143.
  • 2McNamee R. Retrospective assessment of occupational exposure to hydrocarbons-job-expeoure matrices versus expert evaluation of questionnalres. Oecup Hyg, 1996,3 : 137-143.
  • 3Kromhout H, Oestendorp Y, Heederik D, et al. Agreement between qualitative exposure estimates and quantitative exposure measurements. Am J Ind Med, 1987,12 : 551-562.
  • 4Burdorf A, Van Tongeren M. Commentary : variability in workplace exposures and the design of effcient measurement and control strategies. Ann Occ up Hyg, 2003,47 : 95 -99.
  • 5Rodvall Y, Ahlbom A, Spannare B, et al. Glioma and occupational exposure in Sweden, a case-control study. Occup Environ Med, 1996, 53 :526-537.
  • 6Rybicki BA, Johnson CC, Peterson EL, et al. Comparability of different methods of retrospective exposure assessment of metals in manufacturing industries. Am J Ind Med, 1997,31:36-43.
  • 7Tieleraans E, Marquart H, de cock Johan, et al. A proposal for evaluation of exposure data. Ann Oceup Hyg, 2002,46 : 287-297.
  • 8Kauppinen T, Teschkek, Astrakianakis G, et al. Assessment of exposure in an international study on cancer risks among pulp, paper and paper product workers. Am Ind Hyg Assoc J,2002,63:254-261.
  • 9Money CD, Margary SA. Improved use of workplace exposure data in the regulatory risk assessment of chemicals within Europe. Ann Occup Hyg,2002. 279-285.
  • 10Rybicki BA, Peterson EL, Johnson CC, et al. Intra-and inter-rater agreement in the assessment of occupational exposure to metals. Int J Epidemiol, 1998,27 : 269-273.

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  • 1蒋建敏,李现兵,王智慧,贺定勇.焊接烟尘发尘机理及其影响因素[J].焊接,2006(1):7-11. 被引量:18
  • 2彭娟娟,吴世达,江伟良.上海市1949~2004年尘肺病发病情况研究[J].环境与职业医学,2006,23(3):220-223. 被引量:31
  • 3彭凉,毛革诗,陆明,李翠琳,李长明,杨磊.造船厂受限空间对作业工人焊尘接触水平的影响[J].环境与职业医学,2007,24(5):514-515. 被引量:9
  • 4International Agency for Research on Cancer. IARC Monograph on the evaluation of carcinogenic risks to humans.Vol.49:Chromium,Nickel and Welding[M].Lyon,France:World Health Organization,1990.
  • 5RAPPAPORT S M,KUPPER L L. Quantitative exposure assessment[M].CA:El Cerrito,2008.
  • 6LIU S,HAMMOND S K,RAPPAPORT S M. Statistical modeling to determine sources of variability in exposures to welding fumes[J].{H}Annals of Occupational Hygiene,2011,(3):305-318.
  • 7SYMANSKI E,KUPPER L L,KROMHOUT H. An investigation of systematic changes in occupational exposure[J].{H}American Industrial Hygiene Association Journal,1996,(8):724-735.
  • 8PERETZ C,GOREN A,SMID T. Application of mixedeffects models for exposure assessment[J].{H}Annals of Occupational Hygiene,2002,(1):69-77.
  • 9WHITEHEAD TP,METAYER C,PETREAS M. Polycyclic aromatic hydrocarbons in residential dust:sources of variability[J].{H}Environmental Health Perspectives,2013,(5):543-550.
  • 10RICHMOND-BRYANT J,MENG Q,DAVIS JA. A multi-level model of blood lead as a function of air lead[J].{H}Science of the Total Environment,2013,(9):461-462.

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