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Voigt, K. ; Brüggemann, R.* ; Scherb, H. ; Cok, I.* ; Mazmanci, B.* ; Mazmanci, M.A.* ; Turgut, C.* ; Schramm, K.-W.

Evaluation of organochlorine pesticides in breast milk samples in Turkey applying features of the partial order technique.

Int. J. Environ. Health Res. 23, 226-246 (2013)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Exposure data to organochlorine pesticides (OCPs) of mothers' breast milk samples were measured in different locations in the Taurus Mountains/Turkey. Villages at five altitudes were looked upon. The data analysis method applied is the Hasse diagram technique, based on Discrete Mathematics. For each of the five regions, one Hasse diagram was calculated and showed the same maximal object, namely, p-p'-Dichlorodiphenyldichloroethane (DDE). In a further data investigation step, we performed the similarity analyses of the locations in order to quantify the similarities and incomparabilities. It was revealed that no correlation exists between most altitudes and the pattern of contamination of breast milk samples. The two lowest situated areas, Sahil at sea level and Ciftlikkoy at 121m above sea level were similar. We reduced the datasets by applying the interval analysis followed by similarity analyses. We observed that endrin (END1), mirex (MIRE), and pentachlorobenzene (PECB) reduce most severely the similarity.
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Icb_biostatistics
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Organochlorine Pesticides (ocp) ; Breast Milk ; Environmental Health Data ; Partially Ordered Sets ; Turkey; Polybrominated Diphenyl Ethers ; Persistent Organic Pollutants ; Molecular Epidemiology ; Exposure Science ; China ; Contamination ; Residues ; Mothers ; Germany ; Pollution
Sprache englisch
Veröffentlichungsjahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 0960-3123
e-ISSN 1369-1619
Quellenangaben Band: 23, Heft: 3, Seiten: 226-246 Artikelnummer: , Supplement: ,
Verlag Routledge, Taylor & Francis Group
Begutachtungsstatus Peer reviewed
POF Topic(s) 30205 - Bioengineering and Digital Health
30202 - Environmental Health
Forschungsfeld(er) Enabling and Novel Technologies
Environmental Sciences
PSP-Element(e) G-503800-001
G-509100-001
PubMed ID 22963053
Scopus ID 84877667888
Erfassungsdatum 2013-06-06