PMID- 30415879
OWN - NLM
STAT- MEDLINE
DCOM- 20190404
LR  - 20190404
IS  - 1873-6750 (Electronic)
IS  - 0160-4120 (Linking)
VI  - 121
IP  - Pt 2
DP  - 2018 Dec
TI  - Predicting human plasma concentrations of persistent organic pollutants from 
      dietary intake and socio-demographic information in the Norwegian Women and 
      Cancer study.
PG  - 1311-1318
LID - S0160-4120(18)31354-0 [pii]
LID - 10.1016/j.envint.2018.10.057 [doi]
AB  - BACKGROUND: Concentrations of persistent organic pollutants (POPs) in humans are 
      influenced by a large number of factors including birth year, reproductive 
      history and diet. Accordingly, information on dietary habits and 
      socio-demographic variables may predict plasma concentrations of POPs, thus 
      enabling studies on health effects in large epidemiological studies, without 
      performing time consuming and expensive chemical analyses on entire cohorts. 
      AIMS: To develop and evaluate statistical models for predicting concentrations of 
      POPs in participants of the Norwegian Women and Cancer (NOWAC) study, using 
      questionnaire information and measured plasma POP concentrations. MATERIALS AND 
      METHODS: Information on estimated dietary intakes and socio-demographic variables 
      from four different questionnaires (in 1991, 1994, 2004 and 2005) were obtained 
      from participants in the NOWAC study. We measured POP concentrations in a total 
      of 367 blood samples from 2005 and built multivariable linear regression models 
      for p,p'-DDE, PCB-118, -138, -153, -180 and summed PCB concentrations in one 
      subsample (N = 259) and evaluated the models in another subsample (N = 108). 
      Measured and predicted values were compared using correlation coefficients and 
      inter-method agreement was evaluated using weighted Cohen's kappa for tertile 
      categorization. RESULTS: Median POP concentrations in the population ranged from 
      13 ng/g lipid to 162 ng/g lipid (lowest for PCB-118 and highest for p,p'-DDE). 
      Common predictors for all POPs were birth year, breastfeeding and the 
      weight-related variables (BMI or weight change), whereas influential dietary 
      variables differed and were of varying importance. The predicted plasma 
      concentrations were significantly correlated with the measured values 
      (r(s) = 0.24, 0.33, 0.41, 0.50, 0.56, and 0.54 for p,p'-DDE, PCB-118, -138, 153, 
      -180 and summed PCBs, respectively). Tertiles of predicted plasma concentrations 
      displayed significant, but varying agreement with measured concentrations 
      (Weighted Cohen's kappa = 0.19, 0.22, 0.33, 0.42, 0.45, and 0.50 respectively). 
      CONCLUSION: Predicted plasma concentrations of certain PCBs showed good precision 
      (Kw > 0.4) when compared to measured concentrations. Thus, the models can be used 
      to classify NOWAC participants into high, medium and low PCB exposure groups.
CI  - Copyright (c) 2018 Elsevier Ltd. All rights reserved.
FAU - Berg, Vivian
AU  - Berg V
AD  - Department of Medical Biology, Faculty of Health Sciences, UIT-The Arctic 
      University of Norway, NO-9037 Tromso, Norway; Department of Laboratory Medicine, 
      Division of Diagnostic Services, University Hospital of North-Norway, NO-9038 
      Tromso, Norway. Electronic address: Vivian.berg@uit.no.
FAU - Nost, Therese Haugdahl
AU  - Nost TH
AD  - Department of Community Medicine, Faculty of Health Sciences, UIT-The Arctic 
      University of Norway, NO-9037 Tromso, Norway.
FAU - Sandanger, Torkjel Manning
AU  - Sandanger TM
AD  - Department of Community Medicine, Faculty of Health Sciences, UIT-The Arctic 
      University of Norway, NO-9037 Tromso, Norway.
FAU - Rylander, Charlotta
AU  - Rylander C
AD  - Department of Community Medicine, Faculty of Health Sciences, UIT-The Arctic 
      University of Norway, NO-9037 Tromso, Norway.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20181109
PL  - Netherlands
TA  - Environ Int
JT  - Environment international
JID - 7807270
RN  - 0 (Environmental Pollutants)
RN  - 0 (Insecticides)
RN  - 4M7FS82U08 (Dichlorodiphenyl Dichloroethylene)
RN  - DFC2HB4I0K (Polychlorinated Biphenyls)
SB  - IM
MH  - Adult
MH  - Aged
MH  - Cohort Studies
MH  - Dichlorodiphenyl Dichloroethylene/*blood
MH  - Environmental Exposure/*analysis
MH  - Environmental Pollutants/*blood
MH  - Female
MH  - Humans
MH  - Insecticides/blood
MH  - Middle Aged
MH  - Models, Theoretical
MH  - Norway
MH  - Polychlorinated Biphenyls/*blood
MH  - Regression Analysis
OTO - NOTNLM
OT  - Diet
OT  - Exposure
OT  - Lifestyle
OT  - Persistent organic pollutants
OT  - Regression models
EDAT- 2018/11/13 06:00
MHDA- 2019/04/05 06:00
CRDT- 2018/11/13 06:00
PHST- 2018/06/26 00:00 [received]
PHST- 2018/10/03 00:00 [revised]
PHST- 2018/10/27 00:00 [accepted]
PHST- 2018/11/13 06:00 [pubmed]
PHST- 2019/04/05 06:00 [medline]
PHST- 2018/11/13 06:00 [entrez]
AID - S0160-4120(18)31354-0 [pii]
AID - 10.1016/j.envint.2018.10.057 [doi]
PST - ppublish
SO  - Environ Int. 2018 Dec;121(Pt 2):1311-1318. doi: 10.1016/j.envint.2018.10.057. 
      Epub 2018 Nov 9.