Publication
Title
Determinants of serum PCBs in adolescents and adults: regression tree analysis and linear regression analysis
Author
Abstract
Regression tree analysis, a non-parametric method, was undertaken to identify predictors of the serum concentration of polychlorinated biphenyls (sum of marker PCB1 138, 153, and 180) in humans. This method was applied on biomonitoring data of the Flemish Environment and Health study (2002-2006) and included 1679 adolescents and 1583 adults. Potential predictor variables were collected via a self-administered questionnaire, assessing information on lifestyle, food intake, use of tobacco and alcohol, residence history, health, education, hobbies, and occupation. Relevant predictors of human PCB exposure were identified with regression tree analysis using ln-transformed sum of PCBs, separately in adolescents and adults. The obtained results were compared with those from a standard linear regression approach. The results of the non-parametric analysis confirm the selection of the covariates in the multiple regression models. In both analyses, blood fat, gender, age, body-mass index (BMI) or change in bodyweight, former breast-feeding, and a number of nutritional factors were identified as statistically significant predictors in the serum PCB concentration, either in adolescents, in adults or in both. Regression trees can be used as an explorative analysis in combination with multiple linear regression models, where relationships between the determinants and the biomarkers can be quantified.
Language
English
Source (journal)
Human and ecological risk assessment : an international journal. - Place of publication unknown
Publication
Place of publication unknown : 2010
ISSN
1080-7039
Volume/pages
16:5(2010), p. 1115-1132
ISI
000282810500010
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 09.12.2010
Last edited 05.08.2017
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