The influence of study characteristics on the healthy worker effect: A multiple regression analysis

被引:13
|
作者
Chen, R [1 ]
Seaton, A [1 ]
机构
[1] UNIV ABERDEEN,SCH MED,DEPT ENVIRONM & OCCUPAT MED,ABERDEEN AB9 2ZD,SCOTLAND
来源
OCCUPATIONAL MEDICINE-OXFORD | 1996年 / 46卷 / 05期
关键词
healthy worker effect; mortality; organic solvents;
D O I
10.1093/occmed/46.5.345
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The so-called 'healthy worker effect' (HWE) describes a reduced mortality rate in occupational populations. From 85 occupational cohorts of workers exposed to organic solvents, we have previously found a low weighted standardized mortality ratio (SMR) for all causes (SMR = 89.5, 95 per cent confidence interval [Cl] = 89.0-90.2). Characteristics of the cohorts were examined for association with the HWE. A multiple regression analysis revealed that, for overall deaths, the closer the comparison group, the smaller the HWE (p = 0.001); the more hazardous the potential exposures, the higher the SMR (p = 0.02); the higher the social class, the greater the HWE (p = 0.02); and the higher the rates of loss to follow up, the greater the HWE (p = 0.04). These results have shown that, in addition to time-related modifiers, the comparison group, type of occupational exposure, social class and rates of loss to follow-up significantly influence the size of the so-called HWE. Differences in the HWE related to gender and race were probably attributable to different rates of loss to follow-up.
引用
收藏
页码:345 / 350
页数:6
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