Using O*NET to estimate the association between work exposures and chronic diseases.
Dembe-AE; Yao-X; Wickizer-TM; Shoben-AB; Dong-X
Am J Ind Med 2014 Sep; 57(9):1022-1031
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.
Analytical-processes; Statistical-analysis; Occupational-exposure; Chronic-inflammation; Diseases; Musculoskeletal-system-disorders; Articulation; Bone-disorders; Risk-analysis; Risk-factors; Physical-stress; Job-analysis; Manual-materials-handling; Materials-handling; Body-mechanics; Work-performance;
Author Keywords: O*NET; NLSY; arthritis; osteoarthritis; musculoskeletal; chronic disease; occupational exposure
AllardE.Dembe, Sc.D.,Professor, Division o Health Services Management & Policy, Director Center for Health Outcomes, Policy and Evaluation Studies, The Ohio State University College of Public Health, 283 Cunz Hall ,1841 Neil Avenue,Columbus, OH 43210
American Journal of Industrial Medicine
Ohio State University