A prospective field study of the relationship of potential occupational risk factors with occupational injury/illness.
Twenty-one occupationally related risk factors were measured and prospectively evaluated for statistically significant relationships with occupational injury/illness in 442 manual material handlers, working for three different companies, at nine U.S. locations, and encompassing 15 different job descriptions. OSHA 200 logs were used to ascertain evidence of occupational injury/illness (dichotomous) within this population for 1 year after the testing and measurement were completed. The present study demonstrated evidence of a subset of critical variables significantly related to occupational injury/illness occurrence through the significantly related occupational risk factors presented in the univariate and multivariate models. Higher occurrences of injury/illness were significantly associated with nine risk factors in the univariate model, with odds ratios ranging from 1.11-2.27. The significantly (p<0.05) related risk factors in the univariate model were lifting frequency; weight lifted per day; weight lifted per hour; number of trunk flexions per hour; number of trunk twists per hour; number of trunk motions per hour; number of knee flexions per hour; number of shoulder flexions per hour; and static shoulder flexion. In the multivariate analysis two risk factors were associated with occupational injury/illness. The significantly (p<0.05) related risk factors in the multivariate model were lifting frequency (p=0.0010, odds ratio [OR]=4.47, 95% confidence interval [CI]=[2.38-8.40], and average weight of lift (p=0.0001, OR=1.71, 95% CI=[1.29-2.25]).
Craig
Brian N
BN
Department of Industrial Engineering, Lamar University, 2208 Cherry Engineering Building, P.O. Box 10032, Beaumont, TX 77710, USA. craigbn@hal.lamar.edu
Congleton
Jerome J
JJ
Kerk
Carter J
CJ
Amendola
Alfred A
AA
Gaines
William G
WG
Jenkins
Omer C
OC
D000062:Accidents, Occupational / Q000517:prevention & control* / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D006804:Ergonomics / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D017770:Lifting; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009784:Occupational Diseases / Q000517:prevention & control*; D009790:Occupations / Q000706:statistics & numerical data; D010101:Oxygen Consumption; D011446:Prospective Studies; D012307:Risk Factors; D014481:United States; D014937:Work / Q000706:statistics & numerical data*; D014938:Work Capacity Evaluation