Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Maples EH[original query] |
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Education and training to build capacity in Total Worker Health(R): Proposed competencies for an emerging field
Newman LS , Scott JG , Childress A , Linnan L , Newhall WJ , McLellan DL , Campo S , Freewynn S , Hammer LB , Leff M , Macy G , Maples EH , Rogers B , Rohlman DS , Tenney L , Watkins C . J Occup Environ Med 2020 62 (8) e384-e391 OBJECTIVE: Establishment of core competencies for education and training of professionals entering the emerging field of Total Worker Health(R). METHODS: Compilation and distillation of information obtained over a five-year period from Total Worker Health symposia, workshops, and academic offerings, plus contributions from key stakeholders regarding education and training needs. RESULTS: A proposed set of Total Worker Health competencies aligns under six broad domains: Subject Matter Expertise; Advocacy and Engagement; Program Planning, Implementation and Evaluation; Communications and Dissemination; Leadership and Management; and Partnership Building and Coordination. CONCLUSIONS: Proposed set of core competencies will help standardize education and training for professionals being trained in Total Worker Health. It serves as an invitation for further input from stakeholders in academia, business, labor, and government. |
Obesity, prediabetes, and perceived stress in municipal workers
O'Keefe LC , Brown KC , Frith KH , Heaton KL , Maples EH , Phillips JA , Vance DE . Workplace Health Saf 2016 64 (10) 453-461 The primary cause of death for men and women in the United States is heart disease. Obesity and diabetes are major contributors to heart disease, and the risk is worsened in the presence of stress. It is clinically useful to identify predictors of obesity and prediabetes in a working population. The purpose of this current cross-sectional, correlational study was to examine relationships among obesity, prediabetes, and perceived stress in municipal workers using a subset of worksite wellness program data from employees screened in 2010 and 2011. Multiple regression models indicated that age, gender, race, HA1c, shift schedule, physical activity, and occupation were significant predictors of obesity in municipal workers (p< .01). Prediabetes in municipal workers was predicted by age, Black race, and body mass index (BMI;p< .01). Perceived stress was not a significant predictor of obesity or prediabetes in municipal workers. Overall, the findings of this study provide guidance to occupational health nurses when evaluating individuals in an occupational health setting. Further research is needed to examine relationships among the variables and validate the models. |
Wood dust sampling: field evaluation of personal samplers when large particles are present
Lee T , Harper M , Slaven JE , Lee K , Rando RJ , Maples EH . Ann Occup Hyg 2010 55 (2) 180-91 Recent recommendations for wood dust sampling include sampling according to the inhalable convention of International Organization for Standardization (ISO) 7708 (1995) Air quality-particle size fraction definitions for health-related sampling. However, a specific sampling device is not mandated, and while several samplers have laboratory performance approaching theoretical for an 'inhalable' sampler, the best choice of sampler for wood dust is not clear. A side-by-side field study was considered the most practical test of samplers as laboratory performance tests consider overall performance based on a wider range of particle sizes than are commonly encountered in the wood products industry. Seven companies in the wood products industry of the Southeast USA (MS, KY, AL, and WV) participated in this study. The products included hardwood flooring, engineered hardwood flooring, door skins, shutter blinds, kitchen cabinets, plywood, and veneer. The samplers selected were 37-mm closed-face cassette with ACCU-CAP, Button, CIP10-I, GSP, and Institute of Occupational Medicine. Approximately 30 of each possible pairwise combination of samplers were collected as personal sample sets. Paired samplers of the same type were used to calculate environmental variance that was then used to determine the number of pairs of samples necessary to detect any difference at a specified level of confidence. Total valid sample number was 888 (444 valid pairs). The mass concentration of wood dust ranged from 0.02 to 195 mg m(-3). Geometric mean (geometric standard deviation) and arithmetic mean (standard deviation) of wood dust were 0.98 mg m(-3) (3.06) and 2.12 mg m(-3) (7.74), respectively. One percent of the samples exceeded 15 mg m(-3), 6% exceeded 5 mg m(-3), and 48% exceeded 1 mg m(-3). The number of collected pairs is generally appropriate to detect a 35% difference when outliers (negative mass loadings) are removed. Statistical evaluation of the nonsimilar sampler pair results produced a finding of no significant difference between any pairing of sampler type. A practical consideration for sampling in the USA is that the ACCU-CAP is similar to the sampler currently used by the Occupational Safety and Health Administration for purposes of demonstrating compliance with its permissible exposure limit for wood dust, which is the same as for Particles Not Otherwise Regulated, also known as inert dust or nuisance dust (Method PV2121). |
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