Document Detail


The Use of Birth Certificate Data to Reconstruct and Validate Self-Reported Birth Address in a Study of Breast Cancer and Environment.
MedLine Citation:
PMID:  21737307     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
PURPOSE: We conducted a study comparing the location of addresses recorded on birth certificates with self-reported birth addresses provided by adults who were participants in the Western New York Exposure and Breast Cancer (WEB) Study. We also evaluated whether birth certificate residence data may be used to reconstruct missing self-reported birth residence information. METHODS: Subjects were selected from WEB study participants born in Western New York State between 1920 and 1964 for whom we were able to obtain a New York State birth certificate. Addresses were geocoded and mean distance and SD between self-reported and certificate addresses were calculated. RESULTS: Our findings indicate good agreement between self-reported and birth certificate addresses (77% are within 0.25 mile difference), and no difference in recall for cases compared with controls. CONCLUSIONS: This study provides evidence that self-reported and birth certificate-based addresses may be used together to achieve increased accuracy of historical records in early life when place of birth is used as a proxy for early life environment in relation to the development of breast cancer or other chronic diseases.
Authors:
Daikwon Han; Matthew R Bonner; Jing Nie; Carole Rudra; Jo L Freudenheim
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-7-5
Journal Detail:
Title:  Annals of epidemiology     Volume:  -     ISSN:  1873-2585     ISO Abbreviation:  -     Publication Date:  2011 Jul 
Date Detail:
Created Date:  2011-7-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100013     Medline TA:  Ann Epidemiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Department of Epidemiology and Biostatistics, Texas A&M Health Science Center, College Station, TX.
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