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Brian N Craig

Publications and source records attributed to Brian N Craig.

3 recordsLinked to original sources

Personal and non-occupational risk factors and occupational injury/illness.

BACKGROUND: The materials handling industry performs is an essential function in the world economy, however, it is plagued with occupationally related injuries and illnesses. Understanding the risk factors may assist this industry in alleviating these injuries and illnesses, as well as their associated costs. METHODS: Forty-eight personal and non-occupational risk factors were measured and evaluated for statistically significant relationships with occupational injury in 442 volunteer manual material handlers who worked for three different companies, at nine US locations, with 15 different job descriptions. OSHA 200 logs were used to ascertain evidence of occupational injury within this population for 1 year after the testing and measurement was completed. RESULTS: Higher occurrences of injury were significantly associated with six risk factors in the univariate model (odds ratios 1.51-4.00). The significantly (P < 0.05) related risk factors in the univariate model were aerobic power, smoking status, perceived fitness level, fishing/hunting as a hobby, speed limit obeyance, and witnessing or being involved in a violent fight. In the multivariate analysis, five risk factors (aerobic power, smoking status, percent body fat, body mass index, and sit-and-reach measured flexibility) were significantly (P < 0.05) associated with occupational injury. Odds ratios in the multivariate analysis varied from 1.42 to 10.11. CONCLUSION: Evidence of an association of occupational injury occurrence with certain risk factors presented in personal and non-occupational univariate and multivariate models is shown. In industry, effective injury reduction programs should go beyond traditional methods of job-related ergonomic risk factors and include personal factors such as smoking, weight control, and alcohol abuse.

Adult↗

Ergonomic program effectiveness: ergonomic and medical intervention.

The implementation of a successful ergonomic and medical intervention program designed to reduce the number and severity of injuries and illnesses and the associated levels of discomfort in the workplace is presented. Because of the recent activity concerning the on-again-off-again Occupational Safety and Health Administration (OSHA) Ergonomic Program Standard questions have been raised as to the value and effectiveness of an organization's ergonomics program. In light of these concerns, the immense cost associated with work-related injury and illness, and the related pain and suffering associated with such injuries and illnesses, it is important to present a workable and effective ergonomic and medical intervention program. The results of this applied study demonstrate that through the application of an ergonomic and medical intervention program, workplace-related injuries and illnesses can be reduced or eliminated.

Ergonomics↗

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]).

Accidents, Occupational↗