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.
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.
Authors: Ann Marie Dale; Angelique Zeringue; Carisa Harris-Adamson; David Rempel; Stephen Bao; Matthew S Thiese; Linda Merlino; Susan Burt; Jay Kapellusch; Arun Garg; Fred Gerr; Kurt T Hegmann; Ellen A Eisen; Bradley Evanoff Journal: Am J Epidemiol Date: 2015-02-19 Impact factor: 4.897
Authors: Laura A Fraade-Blanar; Jeanne M Sears; Kwun Chuen G Chan; Hilaire J Thompson; Paul K Crane; Beth E Ebel Journal: J Occup Environ Med Date: 2017-02 Impact factor: 2.162
Authors: Ann Marie Dale; Christine C Ekenga; Skye Buckner-Petty; Linda Merlino; Matthew S Thiese; Stephen Bao; Alysha Rose Meyers; Carisa Harris-Adamson; Jay Kapellusch; Ellen A Eisen; Fred Gerr; Kurt T Hegmann; Barbara Silverstein; Arun Garg; David Rempel; Angelique Zeringue; Bradley A Evanoff Journal: Occup Environ Med Date: 2018-03-29 Impact factor: 4.402
Authors: Alexis Descatha; Ann Marie Dale; Bradley Evanoff; Marcus Yung; Skye Buckner-Petty; Matthew Baca; Johan Hviid Andersen; Yves Roquelaure Journal: Occup Environ Med Date: 2019-03-20 Impact factor: 4.402
Authors: Alexis Descatha; Ann Marie Dale; Bradley A Evanoff; Marcus Yung; Skye Buckner-Petty; Johan Hviid Andersen; Yves Roquelaure Journal: Occup Environ Med Date: 2019-01-31 Impact factor: 4.402