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Principal Investigator
Name
Qian Xiao
Institution
NCI
Position Title
Research Fellow
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-154
Initial CDAS Request Approval
Sep 8, 2015
Title
Studying neighborhood characteristics and cancer risk in PLCO
Summary
In recent years, macroenvironment has been increasingly recognized as an important determinant of health 1,2. A growing body of literature has shown that people living in more deprived neighborhoods tend to have higher risks for a variety of adverse health conditions, including premature death 3, diabetes 4, cardiovascular diseases 5, and cancer 6,7. Understanding how social and environmental characteristics influence people’s health has become an important objective of public health research.
In 2012, PLCO collected information on recent addresses for ~83,000 participants. The addresses were geocoded and linked to the 2000 and 2010 census data. The PLCO study also plans to reconstruct residential history for these participants. I plan to propose a study on neighborhood characteristics in relation to cancer risk, using the most recent and previous addresses. I plan to submit the proposal to the K22 award, which is a career transitioning award that will provide fund for the recipient to conduct the proposed research once they secure an extramural position. In order to perform analysis to obtain preliminary data for this grant, I request the following variables from PLCO:
1) Compare study characteristics for those whose addresses were available with those whose addresses were not available
2) Generate a neighborhood socioeconomic deprivation index using the census data 8
3) Examine the relationship between neighborhood deprivation and cancer incidence, particularly colorectal cancer
4) Examine the relationship between neighborhood deprivation and cancer screening behavior
5) Examine the relationship between neighborhood deprivation and other individual risk factors, including demographics, smoking and obesity
To perform these investigations, we request the following data:
1) Census variables from 2000 census, 2010 census and ACS 5-year summary file (2006-2010)
2) Primary dataset that contains all cancer sites (all cancer and 16 “most popular” individual cancer sites) as well as variables from the baseline questionnaire
Aims

I plan to perform preliminary analysis to obtain data needed for submitting an K22 award on neighborhood characteristics and cancer risk.