Biomaterial Database

Estimated Maternal Pesticide Exposure from Drinking Water and Heart Defects in Offspring. 2017

Jihye Kim, and Michael D Swartz, and Peter H Langlois, and Paul A Romitti, and Peter Weyer, and Laura E Mitchell, and Thomas J Luben, and Anushuya Ramakrishnan, and Sadia Malik, and Philip J Lupo, and Marcia L Feldkamp, and Robert E Meyer, and Jennifer J Winston, and Jennita Reefhuis, and Sarah J Blossom, and Erin Bell, and A J Agopian, and

Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX 77030, USA. Jihye.Kim416@gmail.com.

Our objective was to examine the relationship between estimated maternal exposure to pesticides in public drinking water and the risk of congenital heart defects (CHD). We used mixed-effects logistic regression to analyze data from 18,291 nonsyndromic cases with heart defects from the Texas Birth Defects Registry and 4414 randomly-selected controls delivered in Texas from 1999 through 2005. Water district-level pesticide exposure was estimated by linking each maternal residential address to the corresponding public water supply district's measured atrazine levels. We repeated analyses among independent subjects from the National Birth Defects Prevention Study (NBDPS) (1620 nonsyndromic cases with heart defects and 1335 controls delivered from 1999 through 2005). No positive associations were observed between high versus low atrazine level and eight CHD subtypes or all included heart defects combined. These findings should be interpreted with caution, in light of potential misclassification and relatively large proportions of subjects with missing atrazine data. Thus, more consistent and complete monitoring and reporting of drinking water contaminants will aid in better understanding the relationships between pesticide water contaminants and birth defects.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D010575	Pesticides	Chemicals used to destroy pests of any sort. The concept includes fungicides (FUNGICIDES, INDUSTRIAL); INSECTICIDES; RODENTICIDES; etc.	Pesticide
D005260	Female		Females
D006330	Heart Defects, Congenital	Developmental abnormalities involving structures of the heart. These defects are present at birth but may be discovered later in life.	Congenital Heart Disease,Heart Abnormalities,Abnormality, Heart,Congenital Heart Defect,Congenital Heart Defects,Defects, Congenital Heart,Heart Defect, Congenital,Heart, Malformation Of,Congenital Heart Diseases,Defect, Congenital Heart,Disease, Congenital Heart,Heart Abnormality,Heart Disease, Congenital,Malformation Of Heart,Malformation Of Hearts
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328	Adult	A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available.	Adults
D013781	Texas	State bounded on the north by Oklahoma, on the east by Arkansas and Louisiana, on the south by Mexico, and on the west by New Mexico.
D014876	Water Pollution	Contamination of bodies of water (such as LAKES; RIVERS; SEAS; and GROUNDWATER.)	Thermal Water Pollution,Water Pollution, Thermal,Pollution, Thermal Water,Pollution, Water,Pollutions, Thermal Water,Pollutions, Water,Thermal Water Pollutions,Water Pollutions,Water Pollutions, Thermal
D014881	Water Supply	Means or process of supplying water (as for a community) usually including reservoirs, tunnels, and pipelines and often the watershed from which the water is ultimately drawn. (Webster, 3d ed)	Supplies, Water,Supply, Water,Water Supplies
D016015	Logistic Models	Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.	Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic