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1.
Occup Med (Lond) ; 66(7): 576-9, 2016 Oct.
Article in English | MEDLINE | ID: mdl-27261454

ABSTRACT

BACKGROUND: The Canadian Armed Forces (CAF) recently implemented the Fitness for Operational Requirements of CAF Employment (FORCE), a new physical employment standard (PES). Data collection throughout development included anthropometric profiles of the CAF. AIMS: To determine if anthropometric measurements and demographic information would predict the performance outcomes of the FORCE and/or Common Military Task Fitness Evaluation (CMTFE). METHODS: We conducted a secondary analysis of data from FORCE research. We obtained bioelectrical impedance and segmental analysis. Statistical analysis included correlation and linear regression analyses. RESULTS: Among the 668 study subjects, as predicted, any task requiring lifting, pulling or moving of an object was significantly and positively correlated (r > 0.67) to lean body mass (LBM) measurements. LBM correlated with stretcher carry (r = 0.78) and with lifting actions such as sand bag drag (r = 0.77), vehicle extrication (r = 0.71), sand bag fortification (r = 0.68) and sand bag lift time (r = -0.67). The difference between the correlation of dead mass (DM) with task performance compared with LBM was not statistically significant. CONCLUSIONS: DM and LBM can be used in a PES to predict success on military tasks such as casualty evacuation and manual material handling. However, there is no minimum LBM required to perform these tasks successfully. These data direct future research on how we should diversify research participants by anthropometrics, in addition to the traditional demographic variables of gender and age, to highlight potential important adverse impact with PES design. In addition, the results can be used to develop better training regimens to facilitate passing a PES.


Subject(s)
Military Personnel/statistics & numerical data , Physical Fitness/physiology , Work Capacity Evaluation , Adult , Body Composition/physiology , Canada , Exercise Test/statistics & numerical data , Female , Humans , Male , Middle Aged
2.
Work ; 52(2): 375-83, 2015.
Article in English | MEDLINE | ID: mdl-26409372

ABSTRACT

BACKGROUND: An objective and scientific task analysis provides the basis for establishing legally defensible Physical Employment Standards (PES), based on common and essential occupational tasks. Infrequent performance of these tasks creates challenges when developing PES based on criterion, or content validity. OBJECTIVE: Develop a systematic approach using Subject Matter Experts (SME) to provide tasks with 1) an occupationally relevant scenario considered common to all personnel; 2) a minimum performance standard defined by time, distance, load or work. Examples provided here relate to the development of a new PES for the Canadian Armed Forces (CAF). METHODS: SME of various experience are selected based on their eligibility criteria. SME are required to define a reasonable scenario for each task from personal experience, provide occupational performance requirements of the scenario in sub-groups, and discuss and agree by consensus vote on the final standard based on the definition of essential. RESULTS: A common and essential task for the CAF is detailed as a case example of process application. Techniques to avoid common SME rating errors are discussed and advantages to the method described. CONCLUSION: The SETS method was developed as a systematic approach to setting occupational performance standards and qualifying information from SME.


Subject(s)
Military Personnel , Occupational Health/standards , Work Capacity Evaluation , Canada , Expert Testimony , Focus Groups , Humans , Male , Personnel Selection/methods , Physical Fitness , Task Performance and Analysis
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