Using O*NET to estimate the association between work exposures and chronic diseases.
Am J Ind Med
; 57(9): 1022-31, 2014 Sep.
Article
en En
| MEDLINE
| ID: mdl-24842122
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Osteoartritis
/
Exposición Profesional
/
Carga de Trabajo
/
Enfermedades Profesionales
Tipo de estudio:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Female
/
Humans
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Male
/
Middle aged
País/Región como asunto:
America do norte
Idioma:
En
Revista:
Am J Ind Med
Año:
2014
Tipo del documento:
Article
Pais de publicación:
Estados Unidos