Abstract
OBJECTIVE: To determine whether the Occupational Information Network (O*NET) database can be used to identify job dimensions to serve as proxy measures for psychosocial factors and select environmental factors, and to determine whether these factors could be linked to national health surveys to examine associations with health risk behaviors and outcomes. METHODS: Job characteristics were obtained from O*NET 98. Health outcomes were obtained from two national surveys. Data were linked using Bureau of Census codes. Multiple logistic regression was used to examine associations between O*NET factors and cardiovascular disease, depression, and health risk factors. RESULTS: Seven of nine work organization or psychosocial factors were significantly associated with health risk behaviors in both the National Health and Nutrition Examination Survey III and National Health Interview Survey. CONCLUSIONS: This study demonstrates a method for linking independently obtained health and job characteristic data based on occupational code.
| Original language | English |
|---|---|
| Pages (from-to) | 1401-1413 |
| Number of pages | 13 |
| Journal | Journal of Occupational and Environmental Medicine |
| Volume | 50 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2008 Dec 1 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Medicine(all)
- Public Health, Environmental and Occupational Health
Cite this
Examining associations between job characteristics and health : Linking data from the Occupational Information Network (O*NET) to two U.S. national health surveys. / Alterman, Toni; Grosch, James; Chen, Xiao; Chrislip, David; Petersen, Martin; Krieg, Edward; Chung, Haejoo; Muntaner, Carles.
In: Journal of Occupational and Environmental Medicine, Vol. 50, No. 12, 01.12.2008, p. 1401-1413.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Examining associations between job characteristics and health
T2 - Linking data from the Occupational Information Network (O*NET) to two U.S. national health surveys
AU - Alterman, Toni
AU - Grosch, James
AU - Chen, Xiao
AU - Chrislip, David
AU - Petersen, Martin
AU - Krieg, Edward
AU - Chung, Haejoo
AU - Muntaner, Carles
PY - 2008/12/1
Y1 - 2008/12/1
N2 - OBJECTIVE: To determine whether the Occupational Information Network (O*NET) database can be used to identify job dimensions to serve as proxy measures for psychosocial factors and select environmental factors, and to determine whether these factors could be linked to national health surveys to examine associations with health risk behaviors and outcomes. METHODS: Job characteristics were obtained from O*NET 98. Health outcomes were obtained from two national surveys. Data were linked using Bureau of Census codes. Multiple logistic regression was used to examine associations between O*NET factors and cardiovascular disease, depression, and health risk factors. RESULTS: Seven of nine work organization or psychosocial factors were significantly associated with health risk behaviors in both the National Health and Nutrition Examination Survey III and National Health Interview Survey. CONCLUSIONS: This study demonstrates a method for linking independently obtained health and job characteristic data based on occupational code.
AB - OBJECTIVE: To determine whether the Occupational Information Network (O*NET) database can be used to identify job dimensions to serve as proxy measures for psychosocial factors and select environmental factors, and to determine whether these factors could be linked to national health surveys to examine associations with health risk behaviors and outcomes. METHODS: Job characteristics were obtained from O*NET 98. Health outcomes were obtained from two national surveys. Data were linked using Bureau of Census codes. Multiple logistic regression was used to examine associations between O*NET factors and cardiovascular disease, depression, and health risk factors. RESULTS: Seven of nine work organization or psychosocial factors were significantly associated with health risk behaviors in both the National Health and Nutrition Examination Survey III and National Health Interview Survey. CONCLUSIONS: This study demonstrates a method for linking independently obtained health and job characteristic data based on occupational code.
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UR - http://www.scopus.com/inward/citedby.url?scp=65849416462&partnerID=8YFLogxK
U2 - 10.1097/JOM.0b013e318188e882
DO - 10.1097/JOM.0b013e318188e882
M3 - Article
VL - 50
SP - 1401
EP - 1413
JO - Journal of Occupational and Environmental Medicine
JF - Journal of Occupational and Environmental Medicine
SN - 1076-2752
IS - 12
ER -