Health Surveillance Using an Occupational Medical Database

Health Surveillance Using an Occupational Medical Database

This pilot study sought associations between liver function tests (LFTs) and membership in homogeneous exposure groups (HEGs) at a target plant as pre-clinical indications of possible future occupational health problems. A large company database yielded linear models for each of six LFTs (total bili...

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Bibliographic Details
Published in:Journal of occupational and environmental medicine Vol. 40; no. 8; pp. 685 - 696
Main Authors: Gowers, D.S., Carpenter, A.V., Ellis, H.M., Best, A.M., Nash, D., Holzner, C.L., Keith, J.B., Sherrard, H.G.
Format: Journal Article
Language:English
Published: Hagerstown, MD Williams & Wilkins 01-08-1998
Lippincott Williams & Wilkins
Lippincott Williams & Wilkins Ovid Technologies
Subjects:
Biological and medical sciences
Data Interpretation, Statistical
Database Management Systems - organization & administration
Database Management Systems - standards
Database Management Systems - statistics & numerical data
Environmental Monitoring
Epidemiological Monitoring
Female
Health
Humans
Kentucky - epidemiology
Legislation. Organization
Liver
Liver Diseases - epidemiology
Liver Function Tests
Male
Medical sciences
Medical screening
Occupational diseases
Occupational Diseases - epidemiology
Occupational Exposure - statistics & numerical data
Occupational Health Services - standards
Occupational medicine
ORIGINAL ARTICLES
Pilot Projects
Population Surveillance
Predictive Value of Tests
Public health. Hygiene-occupational medicine
Risk Factors
Kentucky
Human
Liver function
Liver
Database
Pilot test
Occupational exposure
Sanitary surveillance
Occupational medicine
Biological monitoring
Biological constant
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Description
Summary:This pilot study sought associations between liver function tests (LFTs) and membership in homogeneous exposure groups (HEGs) at a target plant as pre-clinical indications of possible future occupational health problems. A large company database yielded linear models for each of six LFTs (total bilirubin, alkaline phosphatase, gammaglutamyl transferase, lactate dehydrogenase, aspartate transaminase, and alanine transaminase) in terms of sex, body mass index, age, race (white/non-white), alcohol and cigarette consumption, and production/ non-production (P/NP) job, permitting control for these in analyses of LFTs vs HEGs at the plant. These analyses, with HEG substituted for P/NP in the large group model, resulted in loosely "suspect" associations significant at P < 0.10. Collapsed HEG variables (containing "suspects" separately and all other non-significant HEG levels pooled) yielded "confirmed suspects" at P < 0.05 in the analysis of an independent LFT set taken at the plant approximately one year later.
ISSN:1076-2752
1536-5948
DOI:10.1097/00043764-199808000-00005