WITHDRAWN Multi-State Models for Estimating Risk of Low Back Pain with Associated Risk Factors

Elizabeth Malloy Co-Author
American University
 
Jay Kapellusch Co-Author
University of Wisconsin - Milwaukee
 
Charles Ingulli First Author
 
Charles Ingulli Presenting Author
 
Tuesday, Aug 6: 10:30 AM - 12:20 PM
2034 
Contributed Posters 
Oregon Convention Center 
The study of Low Back Pain (LBP) and associated risk factors provides valuable insight into managing and preventing this illness through the implementation of multi-state models (MSMs) on transitions of individuals between distinct LBP states. Data comes from an LBP research consortium that compiled information from several longitudinal studies involving midwestern manufacturing workers. Repeated observations of individuals were made over approximately 6-years to determine changes in their LBP status: (1) LBP lasting for longer than 7 days, (2) LBP requiring medical care, and (3) LBP resulting in lost time from work. Several MSMs are considered to incorporate different combinations of case definitions as states. Particular interest is given to psychosocial risk factors to better understand their association with LBP transition probabilities. The probability of experiencing LBP is tripled on average for individuals who feel a lack of support and satisfaction in their jobs. An R package under development is used to assist with data preparation. The msm package is used for model fitting.

Keywords

Multi-State Model

Low Back Pain

Psychosocial Factors

Longitudinal Data

R

Occupational Health 

Abstracts


Main Sponsor

Section on Statistics in Epidemiology