Health risk change as a predictor of productivity change.
OBJECTIVE
To assess how health risk change influences concurrent and subsequent change in absenteeism and presenteeism.


METHODS
A retrospective, longitudinal study design analyzed repeated health assessment survey data using maximum likelihood structural equation modeling.


RESULTS
A statistically significant relationship was detected between self-reported health risks at one point in time and lower productivity (absenteeism and presenteeism) at the same point in time as well as a longitudinal effect of increasing risks at one point in time associated with decreased productivity at subsequent measurement periods.


CONCLUSIONS
Health is a predictor of productivity, and the benefits of improved health on improved productivity are cumulative over time.
From Verity Analytics (Dr Grossmeier), San Jose, CA; Mangen Research Associates, Inc (Dr Mangen), Mound; and StayWell (Dr Terry and Ms Haglund-Howieson), St. Paul, Minn.
Jessica
J
Grossmeier
David J
DJ
Mangen
Paul E
PE
Terry
Laura
L
Haglund-Howieson
D000041:Absenteeism; D000293:Adolescent; D000328:Adult; D000368:Aged; D004526:Efficiency; D005260:Female; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D016013:Likelihood Functions; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D016272:Occupational Health; D000069597:Presenteeism; D012189:Retrospective Studies; D012307:Risk Factors; D055815:Young Adult