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Am J Ind Med. 2014 Sep;57(9):1022-31. doi: 10.1002/ajim.22342. Epub 2014 May 19.

Using O*NET to estimate the association between work exposures and chronic diseases.

Author information

1
Center for Health Outcomes, Policy and Evaluation Studies, The Ohio State University, College of Public Health, Columbus, Ohio.

Abstract

BACKGROUND:

A standardized process using data from the Occupational Information Network (O*NET) is applied to estimate the association between long-term aggregated occupational exposure and the risk of contracting chronic diseases later in life. We demonstrate this process by analyzing relationships between O*NET physical work demand ratings and arthritis onset over a 32-year period.

METHODS:

The National Longitudinal Survey of Youth provided job histories and chronic disease data. Five O*NET job descriptors were used as surrogate measures of physical work demands. Logistic regression measured the association between those demands and arthritis occurrence.

RESULTS:

The risk of arthritis was significantly associated with handling and moving objects, kneeling, crouching, and crawling, bending and twisting, working in a cramped or awkward posture, and performing general physical activities.

CONCLUSION:

This study demonstrates the utility of using O*NET job descriptors to estimate the aggregated long-term risks for osteoarthritis and other chronic diseases when no actual exposure data is available.

KEYWORDS:

NLSY; O*NET; arthritis; chronic disease; musculoskeletal; occupational exposure; osteoarthritis

PMID:
24842122
DOI:
10.1002/ajim.22342
[Indexed for MEDLINE]

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