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[长期频繁患病工人的旷工情况]

[Absenteeism among workers with long and frequent illnesses].

作者信息

Szubert Z, Kaczmarek T

机构信息

Z Zakładu Epidemiologii i Statystyki Instytutu Medycyny Pracy w Lodzi.

出版信息

Med Pr. 1989;40(5):281-7.

PMID:2628697
Abstract

The aim of the study comprising 5197 textile industry workers chosen at random was an analysis of sickness absenteeism of employees ailing for a long time (i.e. giving more than 30 days of absence annually) and those who are frequently ill (i.e. giving more than 3 spells of absence) against the background of the absenteeism of the whole examined population. The analysis was performed using such absence parameters as percentage of persons absent from work, lost time rate mean duration of a particular absence, average number of days and cases of absenteeism per one ailing person. The analysis demonstrated differences in the length of spells of absence and frequency and seriousness of diseases between the two selected groups of workers. The group of long ailing patients constituted 22.3% of all workers and caused 75.6% of sickness, absenteeism in general, while the group of frequently ailing subjects--17.5% and 43.5%, respectively. Lost time rate of long ailing persons was three times higher than that in the whole group, while lost time rate among frequently ailing persons was 2.5 times higher that than for the whole group. An average length spells of absence caused by diseases was, among long ailing workers, 50% higher than in the whole examined group, while among frequently ailing employees it was 14% lower than in the general population.

摘要

该研究旨在分析5197名随机抽取的纺织行业工人的长期病假(即每年缺勤超过30天)和频繁生病(即缺勤超过3次)情况,并与整个被调查人群的缺勤情况进行对比。分析采用了以下缺勤参数:缺勤人员百分比、工时损失率、特定缺勤的平均时长、每位患病人员的平均缺勤天数和缺勤次数。分析表明,两组选定工人在缺勤时长、疾病频率和严重程度方面存在差异。长期患病组占所有工人的22.3%,导致了总体病假缺勤的75.6%,而频繁患病组分别占17.5%和43.5%。长期患病人员的工时损失率比整个组高三倍,而频繁患病人员的工时损失率比整个组高2.5倍。在长期患病工人中,因病缺勤的平均时长比整个被调查组高50%,而在频繁患病员工中,这一时长比总体人群低14%。

相似文献

1
[Absenteeism among workers with long and frequent illnesses].[长期频繁患病工人的旷工情况]
Med Pr. 1989;40(5):281-7.
2
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3
[Absenteeism as an indicator of health status of patients with long-term and frequent diseases]].
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