From the aDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA
bDivision of Environmental Health Science, UCB School of Public Health, Berkeley, CA
c Department of Environmental Health Science, UCLA Fielding School of Public Health, Los Angeles, CA
dProgram in Public Health, Susan and Henry Samueli College of Health Sciences, UCI, Irvine, CA
eDepartment of Epidemiology & Biostatistics, UCSF, San Francisco, CA
fDepartment of Neurology, David Geffen School of Medicine, Los Angeles, CA.
Submitted November 19, 2019; accepted July 27, 2020.
Supported by grants R01ES023451 and F32ES028087 from National Institute of Environmental Health Sciences, AG012975and AG033751 from National Institute on Aging, and DK060753 from National Institute of Diabetes and Digestive and Kidney Diseases.
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).
Data Access: The data for this cohort are available on the server of Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan and the noise data will be available upon request to the authors. The analytical code used was standard SAS code (e.g., data steps, proc phreg).
Correspondence: Beate Ritz, Department of Epidemiology, Fielding School of Public Health, University of California at Los Angeles, Los Angeles, California, USA, 650 Charles E. Young Drive South, Los Angeles, CA 90095-1772. Email: [email protected].
