Factors associated with incidental sickness absence among employees in one health care system.
OBJECTIVE
Assess the association of taking incidental sickness absence with health risks and health status.


METHODS
Observational.


METHODS
One Midwest health care system.


METHODS
Individuals who were employed for 2 years (2006-2007) and had completed at least one health risk appraisal (HRA) in 2007 (N = 3790).


METHODS
Outcomes were any incidental sickness absence and absence duration in 2007 measured by an absence tracking system. Health risks and health status were estimated by HRAs. Program participation was captured using 7-year HRA data and 5-year wellness data.


METHODS
Multivariate, binary logistic regression for the probability of taking any absence day among the overall population as well as four demographic subgroups; proportional odds model for the probability of taking more absence days.


RESULTS
Different patterns were observed in association with taking incidental sickness absence among age and gender subgroups. Among the overall population, three health risks (smoking overweight, and use of medication for relaxation) were positively associated with taking absence (at least p < .05 for all three health risks). Participation in a wellness program for more years was also associated with a less likelihood of taking absence (odds ratio, .72; p = .002). Results from the proportional odds model were consistent with results from the binary logistic regression.


CONCLUSIONS
Sickness absence is an important productivity concern of employers. Employers may implement early interventions to focus on preventable causes. Special interventions may target absence-causing risks such as smoking behavior and excess body weight. Study limitation includes a lack of measures for psychosocial work environment.
Pai
Chih-Wen
CW
Health Management Research Center, University of Michigan, 1015 East Huron Street, Box 1689, Ann Arbor, MI 48104, USA. cwpai@umich.edu
Mullin
John
J
Payne
Gina M
GM
Love
Jeaneeta
J
O'Connell
Gayle
G
Edington
Dee W
DW
D000328:Adult; D003695:Delivery of Health Care; D005260:Female; D006282:Health Personnel / Q000706:statistics & numerical data*; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D008875:Middle Aged; D015146:Midwestern United States; D016272:Occupational Health / Q000706:statistics & numerical data*; D018582:Sick Leave / Q000706:statistics & numerical data*; D000078329:Workforce; D055815:Young Adult