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Relations of negative and positive work experiences to employee alcohol use: testing the intervening role of negative and positive work rumination.


ABSTRACT: This study tested a model linking work experiences to employee alcohol use. The model extended past research in 3 ways. First, it incorporated both negative and positive work experiences. Second, it incorporated a previously unexplored cognitive intervening process involving negative and positive work rumination. Third, it incorporated several important dimensions of alcohol use (heavy use, workday use, and after-work use). Data were collected from a national probability sample of 2,831 U.S. workers. Structural equation modeling revealed that the conceptual model provided an excellent fit to the data. Negative work experiences were positively related to negative work rumination, which was positively related to heavy alcohol use, workday alcohol use, and after work alcohol use. Positive work experiences were positively related to positive work rumination, which was negatively related to heavy alcohol use and after work alcohol use, but was unrelated to workday alcohol use. The study also provided initial support for the psychometric properties and construct validity of the newly developed Negative and Positive Work Rumination Scale (NAPWRS).

SUBMITTER: Frone MR 

PROVIDER: S-EPMC4372465 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

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Relations of negative and positive work experiences to employee alcohol use: testing the intervening role of negative and positive work rumination.

Frone Michael R MR  

Journal of occupational health psychology 20141222 2


This study tested a model linking work experiences to employee alcohol use. The model extended past research in 3 ways. First, it incorporated both negative and positive work experiences. Second, it incorporated a previously unexplored cognitive intervening process involving negative and positive work rumination. Third, it incorporated several important dimensions of alcohol use (heavy use, workday use, and after-work use). Data were collected from a national probability sample of 2,831 U.S. wor  ...[more]

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