From the aDivision of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, California
bDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
cDepartment of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York City, New York
dDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
eDiabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
fDivision of Biostatistics, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, California
gDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA.
Submitted April 26, 2022; accepted September 23, 2022
The results reported herein correspond to specific aims of grant F31ES032316 to investigator Anna R. Smith from the National Institute of Environmental Health Sciences. This work was also supported by grants R01ES031259 from the National Institute of Environmental Health Sciences, UH3OD023286 from the Office of the Director, NIH, and R01HD034568 from the National Institute of Child Health and Human Development.
Because of the sensitive nature of the data collected for this study, requests to access the data set from qualified researchers trained in human subject confidentiality protocols may be sent to Project Viva at [email protected] and to the corresponding author. Data can be accessed with the appropriate permission from the Project Viva study team following the study policies (https://www.hms.harvard.edu/viva/).
The authors report no conflicts of interest.
Supplemental digital content is available through direct URL citations in the HTML and PDF versions of this article (www.epidem.com).
Correspondence: Andres Cardenas, Department of Epidemiology and Population Health, Stanford University, Stanford, CA 94305, USA. E-mail: [email protected].
