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Your search keyword '"ALEXANDER, JAN"' showing total 10 results
Start Over Author "ALEXANDER, JAN" Journal environment international
10 results on '"ALEXANDER, JAN"'

4. Maternal cell phone use during pregnancy and child behavioral problems in five birth cohorts

Author

Birks, Laura, primary, Guxens, Mònica, additional, Papadopoulou, Eleni, additional, Alexander, Jan, additional, Ballester, Ferran, additional, Estarlich, Marisa, additional, Gallastegi, Mara, additional, Ha, Mina, additional, Haugen, Margaretha, additional, Huss, Anke, additional, Kheifets, Leeka, additional, Lim, Hyungryul, additional, Olsen, Jørn, additional, Santa-Marina, Loreto, additional, Sudan, Madhuri, additional, Vermeulen, Roel, additional, Vrijkotte, Tanja, additional, Cardis, Elisabeth, additional, and Vrijheid, Martine, additional

Published
2017
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5. The influence of maternal dietary exposure to dioxins and PCBs during pregnancy on ADHD symptoms and cognitive functions in Norwegian preschool children

Author

Caspersen, Ida Henriette, primary, Aase, Heidi, additional, Biele, Guido, additional, Brantsæter, Anne Lise, additional, Haugen, Margaretha, additional, Kvalem, Helen Engelstad, additional, Skogan, Annette Holth, additional, Zeiner, Pål, additional, Alexander, Jan, additional, Meltzer, Helle Margrete, additional, and Knutsen, Helle K., additional

Published
2016
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7. Maternal dietary intake of dioxins and polychlorinated biphenyls and birth size in the Norwegian Mother and Child Cohort Study (MoBa)

Author

Papadopoulou, Eleni, primary, Caspersen, Ida H., additional, Kvalem, Helen E., additional, Knutsen, Helle K., additional, Duarte-Salles, Talita, additional, Alexander, Jan, additional, Meltzer, Helle Margrete, additional, Kogevinas, Manolis, additional, Brantsæter, Anne Lise, additional, and Haugen, Margaretha, additional

Published
2013
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10. Development and validation of prediction models for blood concentrations of dioxins and PCBs using dietary intakes

Author

Kvalem, Helen Engelstad, Brantsæter, Anne Lise, Meltzer, Helle Margrete, Stigum, Hein, Thomsen, Cathrine, Haugen, Margaretha, Alexander, Jan, and Knutsen, Helle K.

Subjects
*DIOXINS, *BLOOD testing, *FOOD chains, *POLYCHLORINATED dibenzodioxins, *INGESTION, *PREDICTION models, *EPIDEMIOLOGICAL research, *FURANS
Abstract

Abstract: Background: Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these compounds based on analyses of biological material might not be available or affordable. Objectives: To develop and then validate models for predicting concentrations of dioxins and PCBs in blood using a comprehensive food frequency questionnaire and blood concentrations. Methods: Prediction models were built on data from one study (n=195), and validated in an independent study group (n=66). We used linear regression to develop predictive models for dioxins and PCBs, both sums of congeners and 33 single congeners (7 and 10 polychlorinated dibenzo-p-dioxins and furans (PCDDs/PCDFs), 12 dioxin-like polychlorinated biphenyls (PCBs: 4 non-ortho and 8 mono-ortho), sum of all the 29 dioxin-like compounds (total TEQ) and sum of 4 non dioxin-like PCBs (∑ CB-101, 138, 153, 183=PCB4). We used the blood concentration and dietary intake of each of the above as dependent and independent variables, while sex, parity, age, place of living, smoking status, energy intake and education were covariates. We validated the models in a new study population comparing the predicted blood concentrations with the measured blood concentrations using correlation coefficients and Weighted Kappa (КW) as measures of agreement, considering КW >0.40 as successful prediction. Results: The models explained 78% (sum dioxin-like compounds), 76% (PCDDs), 76% (PCDFs), 74% (no-PCBs), 69% (mo-PCBs), 68% (PCB4) and 63% (CB-153) of the variance. In addition to dietary intake, age and sex were the most important covariates. The predicted blood concentrations were highly correlated with the measured values, with r=0.75 for dl-compounds 0.70 for PCB4, (p<0.001) and 0.66 (p<0.001) for CB-153. КW was 0.68 for sum dl-compounds 0.65 for both PCB4 and CB-153. Out of 33 congeners 16 (13dl-compounds and 3 ndl PCBs) had КW >0.40. Conclusions: The models developed had high power to predict blood levels of dioxins and PCBs and to correctly rank subjects according to high or low exposure based on dietary intake and demographic information. These models underline the value of dietary intake data for use in investigations of associations between dioxin and PCB exposure and health outcomes in large epidemiological studies with limited biomaterial for chemical analysis. [Copyright &y& Elsevier]

Published
2012
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