CDC logoSafer Healthier People CDC HomeCDC SearchCDC Health Topics A-Z
NIOSH - National Institute for Occupational Safety and Health

Skip navigation links Search NIOSH  |  NIOSH Home  |  NIOSH Topics  |  Site Index  |  Databases and Information Resources  |  NIOSH Products  |  Contact Us

NIOSH Program Portfolio

 

Manufacturing

NORA Manufacturing Sector Strategic Goals

K019390 - 021H: Endotoxin and Lung Cancer: Separating Healthy Worker Bias from Biologic Mechanism (9390)

Start Date: 8/1/2008
End Date: 7/31/2011

Principal Investigator (PI)
Name: Joan Karr
Organization: NIOSH
Sub-Unit: OEP
Funded By: NIOSH

Primary Goals Addressed
5.0 , 6.0

Secondary Goal Addressed
None


Attributed to Manufacturing
100%

Project Description

Short Summary

The research will evaluate the potential anti-carcinogenic protective effect of endotoxin exposure for lung cancer. The PI will evaluate data collected in a previous research project, using existing de-identified data, to determine whether there is a healthy worker survivor bias involved in the female Chinese cotton textile workers in the study.



Description

The candidate's education and research have focused on environmental and occupational epidemiology, with particular interest in gene-environment interactions and modeling biologic pathways. The candidate's research in an occupational cohort study led her to observe that, studies that include workers hired prior to the start of follow-up over-sample healthier workers, which exaggerates the healthy worker survivor effect (HWSE) and induces a downward bias. This proposed training will allow her to gain skills to develop epidemiologic methods to address this and other occupational methods issues as well as enhance her potential to develop into an independent investigator focused on occupational research. Mentors and coinvestigators for this proposal have expertise in epidemiologic and quantitative methods, occupational epidemiology, and modeling occupational exposures. The training involves gaining experience in causal modeling, designing biologic models that account for an immunologic response to exposure, and developing and testing novel methods to minimize HWSE bias. The training will also provide opportunities for her to begin to establish an independent research program. The study population for the proposed work is the Shanghai female textile workers study, a case-cohort study of 3184 controls and 628 cases of lung cancer. Previously, an inverse association between lung cancer and endotoxin was reported. This is biologically plausible given that endotoxin may lead to immunomodulation, which itself may be anticarcinogenic. However, the study population includes only subjects hired prior to the start of follow-up, which may partially explain this inverse association. The specific aims are: (1) to estimate the exposure-response for endotoxin and lung cancer accounting for immune response modifiers (e.g., cessation of exposure and hormonal changes); (2) to determine how much bias is introduced from the inclusion of subjects hired much earlier than the start of follow-up; and (3) to develop and compare methods for controlling for this form of HWSE bias. This research directly addresses a common problem in occupational health research - how to handle the exaggerated HWSE bias when subjects were hired prior to the start of follow-up. In addition, advanced training in developing epidemiologic methods and modeling biologic mechanisms will allow the candidate to develop into an independent investigator.



Objectives

The specific aims of the proposal are:

Aim 1: Estimate exposure-response relationships for endotoxin and lung cancer incidence based on biological theories of a change in the immune system response over time.

Aim 2: Identify and measure healthy worker survivor bias.

Aim 3: Compare methods of controlling for healthy worker survivor bias.



Page last updated: June 3, 2011
Page last reviewed: May 23, 2011
Content Source: National Institute for Occupational Safety and Health (NIOSH) Office of the Director

 

NIOSH Program:

Manufacturing