Literature DB >> 9924714

The factor structure of the Profile of Mood States (POMS) and its relationship to occupational lead exposure.

K N Lindgren1, V L Masten, M J Tiburzi, D P Ford, M L Bleecker.   

Abstract

The Profile of Mood States (POMS) is an instrument composed of six mood scales that were developed using clinical populations. This study examines the replicability of the POMS factor structure in lead-smelter workers and its association with demographic variables and lead exposure. Four hundred sixty-seven current and retired smelter workers completed the POMS, and a factor analysis was performed on the individual items. Two multiple regressions in the currently employed workers (n = 340) with a mean age of 40 years (range, 20-63 years) were used to compare the relationship of the resulting POMS factors with demographic characteristics and two measures of occupational lead exposure: current blood lead level (mean, 28 micrograms/dL; range, 4-62 micrograms/dL) and working-lifetime integrated blood lead level (mean, 711 micrograms-yr/dL; range, 1-1537 micrograms-yr/dL). Factor analysis produced one factor, labeled "general distress," that was composed mainly of items from five of the six POMS subscales (anger, confusion, depression, fatigue, and tension) and a second factor labeled "psychological adjustment." Demographic variables, including education, age, and alcohol use, were significantly related to the "general distress" factor score. After the effects of the demographic variables were accounted for, the "general distress" factor was significantly related to integrated blood lead level but not current blood lead level. Integrated blood lead level, a measure of cumulative lead exposure that included prior high exposure, was significantly related to the POMS "general distress" factor, while a current blood lead level that was relatively low was unrelated. As expected, POMS psychological adjustment was not related to lead exposure. Factor analysis did not support the use of six separate POMS subscales in this occupational population.

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Year:  1999        PMID: 9924714     DOI: 10.1097/00043764-199901000-00002

Source DB:  PubMed          Journal:  J Occup Environ Med        ISSN: 1076-2752            Impact factor:   2.162


  10 in total

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  10 in total

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