Urinary concentrations of environmental contaminants and phytoestrogens in adults in Israel
Bibliographic record
Abstract
BACKGROUND: The Ministry of Health Biomonitoring Study estimated exposure of individuals in the Israeli population to bisphenol A (BPA), organophosphate (OP) pesticides, phthalates, cotinine, polycyclic aromatic hydrocarbons (PAHs), and the phytoestrogenic compounds genistein and daidzein. METHODS: In 2011, 250 individuals (ages 20-74) were recruited from five different regions in Israel. Urine samples were collected and questionnaire data were obtained, including detailed dietary data (food frequency questionnaire and 24hour recall). Urinary samples were analyzed for BPA, OP metabolites (dialkyl phosphates), phthalate metabolites, cotinine, PAH metabolites, genistein, and daidzein. RESULTS AND DISCUSSION: BPA urinary concentrations were above the limit of quantification (LOQ) in 89% of the samples whereas urinary concentrations of phthalate metabolites were above the LOQ in 92-100% of the samples. PAH metabolites were above the LOQ in 63-99% of the samples whereas OP metabolites were above the LOQ in 44-100% of the samples. All non-smoking participants had detectable levels of cotinine in their urine; 63% had levels above the LOQ, and the rate of quantification was high compared to the general non-smoking population in Canada. Median creatinine adjusted concentrations of several OP metabolites (dimethyl phosphate, dimethyl thiophosphate) were high in our study population compared to the general US and Canadian populations. Median creatinine adjusted urinary BPA concentrations in the study population were comparable to those in Belgium and Korea; higher than those reported for the general US, German, and Canadian populations; and very low compared to health-based threshold values. Phthalate concentrations were higher in our study population compared to the general US population but values were very low compared to health-based threshold values. Median creatinine adjusted PAH concentrations were generally comparable to those reported for the general US population; median creatinine adjusted daidzein concentrations were high in our population compared to the general US population whereas genistein concentrations were comparable. CONCLUSIONS: We interpreted observed urinary contaminant levels observed in our study by comparing values with health-based threshold values and/or values from international human biomonitoring studies. Using this data interpretation scheme, we identified two contaminants as being of potential public health concern and high priority for public health policy intervention: environmental tobacco smoke (ETS) and OP pesticides. We used the data collected in this study to support public health policy interventions. We plan to conduct a follow-up biomonitoring study in 2015 to measure ETS and OP exposure in the general population in Israel, to evaluate the effectiveness of relevant policy interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".