Effects of Standard Labor-Wear on Swimming and Treading Water

We tested the hypothesis that occupational clothing would impair performance during swimming. The sub questions included: (1) Will the standard work wear of a railway worker or laborer impede swimming ability? (2) Will this clothing impact the individual’s ability to tread water? We addressed the research questions with three hypotheses. Analysis showed statistically significant p-values and all three null hypotheses were rejected in favor of the three research hypotheses, showing strong evidence that standard labor wear had adverse effects on 11.43 meter/12.5 yard swim time, water treading time and rate of perceived exertion (RPE) during water treading. The mean swim time more than doubled when the subjects wore standard labor-wear and their average rate of perceived exertion increased from 11.6 in standard swim wear to 17.1 in standard laborwear. It may be beneficial for those workers who work near water to be exposed to educational programs that allow in-water experiences so they develop an understanding of their abilities in, and respect for, the water.

A Measurement System Experiment to Evaluate the Nosing-to-nosing Method for Measuring Dimensions of Steps

Non-uniformity of steps within a flight is a major risk factor for falls. Guidelines and requirements for uniformity of step risers and tread depths assume the measurement system provides precise dimensional values. The state-of-the-art measurement system is a relatively new method, known as the nosing-to-nosing method. It involves measuring the distance between the noses of adjacent steps and the angle formed with the horizontal. From these measurements, the effective riser height and tread depth are calculated. This study was undertaken for the purpose of evaluating the measurement system to determine how much of total measurement variability comes from the step variations versus that due to repeatability and reproducibility (R&R) associated with the measurers. Using an experimental design quality control professionals call a measurement system experiment, two measurers measured all steps in six randomly selected flights, and repeated the process on a subsequent day. After marking each step in a flight in three lateral places (left, center, and right), the measurers took their measurement. This process yielded 774 values of riser height and 672 values of tread depth. Results of applying the Gage R&R ANOVA procedure in Minitab software indicated that the R&R contribution to riser height variability was 1.42%; and to tread depth was 0.50%. All remaining variability was attributed to actual step-to-step differences. These results may be compared with guidelines used in the automobile industry for measurement systems that consider R&R less than 1% as an acceptable measurement system; and R&R between 1% and 9% as acceptable depending on the application, the cost of the measuring device, cost of repair, or other factors.