Biological monitoring for selected herbicide biomarkers in the urine of exposed custom applicators: Application of mixed-effect models

被引:26
作者
Hines, CJ
Deddens, JA
Striley, CAF
Biagini, RE
Shoemaker, DA
Brown, KK
MacKenzie, BA
Hull, RD
机构
[1] NIOSH, Cincinnati, OH 45226 USA
[2] Univ Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USA
关键词
atrazine; alachlor; metolachlor; 2,4-D; cyanazine; biological monitoring; mixed-effect models; variance components; immunoassays;
D O I
10.1093/annhyg/meg067
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Metabolites and/or parent compounds of the herbicides atrazine, alachlor, metolachlor, cyanazine and the 2-ethylhexyl ester of 2,4-dichlorophenoxyacetic acid (2,4-D) were measured in the urine of 15 custom applicators who each provided from five to seven 24 h urine samples during a 6 week period (n = 87). Each applicator provided a pre-season urine sample and a reference population (n = 46) provided first-morning urine samples. Urinary biomarkers were measured by either immunoassay or gas chromatography. During the spraying season, the geometric mean amount of alachlor mercapturate equivalents (eq.), atrazine eq., 2,4-D and metolachlor mercapturate eq. excreted in 24 h was 17, 19, 110 and 22 nmol, respectively. Mixed-effect models were used to determine predictors of the amount of atrazine eq. and 2,4-D excreted in 24 h. The specific days of herbicide spraying associated with increased biomarker excretion varied for the two analytes, and included one or more days prior to urine collection. This confirms the importance of collecting covariate information on day(s) most relevant to the biomarker of interest. The within-worker variance component, expressed as a geometric standard deviation ((W)GSD range: 2.5-2.9), was substantially larger than the between-worker component ((B)GSD range: 1.3-1.5) for the modeled biomarkers. Alachlor mercapturate eq. and metolachlor mercapturate eq. were detected in more than half of the applicator pre-season urine samples. All biomarkers were detected infrequently in the reference population. Evaluation of non-spray exposure determinants was limited by inclusion of prior day spraying, adjustment for time and the small sample size.
引用
收藏
页码:503 / 517
页数:15
相关论文
共 36 条
[1]  
[Anonymous], 2001, REGRESSION MODELING
[2]  
BIAGINI RE, 1995, B ENVIRON CONTAM TOX, V54, P245
[3]   DETERMINATION OF URINARY RESIDUE LEVELS OF THE N-DEALKYL METABOLITES OF TRIAZINE HERBICIDES [J].
BRADWAY, DE ;
MOSEMAN, RF .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 1982, 30 (02) :244-247
[4]  
BRADY JF, 1998, ACS SYM SER, V683, P131
[5]   HPLC-accelerator MS measurement of atrazine metabolites in human urine after dermal exposure [J].
Buchholz, BA ;
Fultz, E ;
Haack, KW ;
Vogel, JS ;
Gilman, SD ;
Gee, SJ ;
Hammock, BD ;
Hui, XY ;
Wester, RC ;
Maibach, HI .
ANALYTICAL CHEMISTRY, 1999, 71 (16) :3519-3525
[6]   Statistical modelling of the determinants of historical exposure to bitumen and polycyclic aromatic hydrocarbons among paving workers [J].
Burstyn, I ;
Kromhout, H ;
Kauppinen, T ;
Heikkila, P ;
Boffetta, P .
ANNALS OF OCCUPATIONAL HYGIENE, 2000, 44 (01) :43-56
[7]   BIOLOGICAL MONITORING OF HUMAN EXPOSURE TO ATRAZINE [J].
CATENACCI, G ;
BARBIERI, F ;
BERSANI, M ;
FERIOLI, A ;
COTTICA, D ;
MARONI, M .
TOXICOLOGY LETTERS, 1993, 69 (02) :217-222
[8]   Saliva biomonitoring of atrazine exposure among herbicide applicators [J].
Denovan, LA ;
Lu, C ;
Hines, CJ ;
Fenske, RA .
INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH, 2000, 73 (07) :457-462
[9]   Identification of a major human urinary metabolite of alachlor by LC-MS/MS [J].
Driskell, WJ ;
Hill, RH ;
Shealy, DB ;
Hull, RD ;
Hines, CJ .
BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 1996, 56 (06) :853-859
[10]   Identification of a major human urinary metabolite of metolachlor by LC-MS/MS [J].
Driskell, WJ ;
Hill, RH .
BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 1997, 58 (06) :929-933