Skip to main navigation
Skip to search
Skip to main content
University of Haifa Home
Update your profile
Link opens in a new tab
Search content at University of Haifa
Home
Researchers
Research units
Research output
Factors affecting long-term sick leave in an industrial population
Arnona Eyal
, Rafael S. Carel
, John R. Goldsmith
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Factors affecting long-term sick leave in an industrial population'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Illness
100%
Industrial Population
100%
Long-term Sick Leave
100%
Israel
50%
Older Workers
50%
Relative Risk
50%
Hearing Impairment
50%
Dead Sea
50%
Health Problems
50%
Absenteeism
50%
Socioeconomic Factors
50%
White-collar Workers
50%
Sickness Absence
50%
Shift Worker
50%
Occupational Health
50%
Occupational Risk
50%
Cumulative Time
50%
Sick Leave
50%
Sick Leaves
50%
Sickness Leave
50%
Sick Leave Duration
50%
Long-term Sickness Absence
50%
Minor Disease
50%
Social Sciences
Diseases
100%
Sickness Absence
33%
Israel
16%
Older Worker
16%
Hearing Impairment
16%
Dead Sea
16%
Shift Worker
16%
Office Workers
16%
Agricultural and Biological Sciences
Relative Risk
100%
Collars
100%