title: A decay model for assessing polybrominated biphenyl exposure among women in the Michigan Long-Term PBB Study.
abstract: The Michigan Long-Term PBB Study was established following exposure to polybrominated biphenyls (PBBs) in the early 1970s. Serum samples from cohort members were analyzed for PBB during 1976-1993. More than 20 years following this industrial incident, some participants still had measurable serum PBB concentration levels. Thus, there is continuing interest in understanding the elimination of PBB from the body. In the present study, we estimated serum PBB decay and investigated the effects of covariates on serum PBB decay rates among 406 female cohort members. We developed a decay model using a general linear mixed model, which attributes unique intercept and slope estimates for each individual while borrowing information across individuals for predicting these quantities. Age at exposure and body mass index (BMI) at the initial measurement were time-independent covariates. Time since exposure, smoking history, pregnancy status, and breast-feeding status were time-dependent covariates. Higher BMI was associated with a slower decay rate; smokers had a faster decay rate than nonsmokers; and increasing age at exposure was marginally associated with a slower decay rate. Our results suggest a faster serum PBB decay rate for women who breast-fed during the interval between serum PBB measurements. To evaluate the predictive performance of our modeling approach, we compared the results from this model with those from a previously developed ordinary least squares (OLS) two-stage decay model. The mixed-effects decay model predicted the observed serum PBB concentration levels significantly better than the OLS two-stage decay model (mixed-effects model, r=0.93; OLS two-stage model, r=0.86; P<0.0001).
authors.affiliation: Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA. mterrel@sph.emory.edu
authors.forename: Metrecia L
authors.initials: ML
authors.lastname: Terrell
authors.forename: Amita K
authors.initials: AK
authors.lastname: Manatunga
authors.forename: Chanley M
authors.initials: CM
authors.lastname: Small
authors.forename: Lorraine L
authors.initials: LL
authors.lastname: Cameron
authors.forename: Julie
authors.initials: J
authors.lastname: Wirth
authors.forename: Heidi Michels
authors.initials: HM
authors.lastname: Blanck
authors.forename: Robert H
authors.initials: RH
authors.lastname: Lyles
authors.forename: Michele
authors.initials: M
authors.lastname: Marcus
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D015992:Body Mass Index; D001942:Breast Feeding / Q000706:statistics & numerical data; D002849:Chromatography, Gas; D015331:Cohort Studies; D004785:Environmental Pollutants / Q000097:blood* / Q000493:pharmacokinetics*; D005260:Female; D006801:Humans; D016014:Linear Models; D008137:Longitudinal Studies; D008824:Michigan; D008875:Middle Aged; D008954:Models, Biological; D011075:Polybrominated Biphenyls / Q000097:blood* / Q000493:pharmacokinetics*; D011247:Pregnancy; D012189:Retrospective Studies; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D011795:Surveys and Questionnaires; D013997:Time Factors
chemical_list: D004785:Environmental Pollutants; D011075:Polybrominated Biphenyls