Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Concerns about pesticide exposure through food consumption have increased during the past several years. The main objective of our study was to determine whether we could use data from the Third National Health and Nutrition Examination Survey (NHANES III) to detect a relation between self-reported food consumption--particularly consumption of fruits, vegetables, and bread products--and urinary levels of pesticides or their metabolites in a population of 978 adults living in the US. A secondary objective was to investigate whether these urine levels differed for people who reported exposure to selected common household chemicals including bug or insect spray, weed killer, and mothballs or crystals. We used monthly food frequency data from the NHANES III, 1988-1994. Urinary pesticide/metabolite levels and information about chemical exposures were taken from the Priority Toxicant Reference Range Study (a component of the NHANES III). Six pesticides or their metabolites were detected in at least 50% of the sample, three of which--1-naphthol (86.4%), pentachlorophenol (62.5%), and 3,5,6-trichloro-2-pyridinol (82.0%)--were possibly related to food consumption. We were unable to detect a relation between self-reported food consumption and their urinary levels. This may be due more to the limitations of the datasets than to a lack of a relation between food consumption and urine pesticide/metabolite levels. We did find that people who reported recently using selected common chemicals had higher geometric mean urine pesticide/metabolite levels than did people who reported not recently using these chemicals.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1038/sj.jea.7500242 | DOI Listing |
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