Literature DB >> 21865205

Factors associated with use of slip-resistant shoes in US limited-service restaurant workers.

Santosh K Verma1, Theodore K Courtney, Helen L Corns, Yueng-Hsiang Huang, David A Lombardi, Wen-Ruey Chang, Melanye J Brennan, Melissa J Perry.   

Abstract

OBJECTIVES: Slips and falls are a leading cause of injury at work. Several studies have indicated that slip-resistant shoes can reduce the risk of occupational slips and falls. Few studies, however, have examined the determinants of slip-resistant shoe use. This study examined the individual and workplace factors associated with slip-resistant shoe use.
METHODS: 475 workers from 36 limited-service restaurants in the USA participated in a study of workplace slipping. Demographic and job characteristic information about each participant was collected. Restaurant managers provided information on whether slip-resistant shoes were provided and paid for by the employer and whether any guidance was given regarding slip-resistant shoe use when they were not provided. Kitchen floor coefficient of friction was measured. Slip-resistant status of the shoes was determined by noting the presence of a 'slip-resistant' marking on the sole. Poisson regression with robust SE was used to calculate prevalence ratios.
RESULTS: 320 participants wore slip-resistant shoes (67%). In the multivariate analysis, the prevalence of slip-resistant shoe use was lowest in 15-19-year age group. Women were more likely to wear slip-resistant shoes (prevalence ratio 1.18, 95% CI 1.07 to 1.31). The prevalence of slip-resistant shoe use was lower when no guidance regarding slip-resistant shoes was given as compared to when they were provided by the employer (prevalence ratio 0.66, 95% CI 0.55 to 0.79). Education level, job tenure and the mean coefficient of friction had no significant effects on the use of slip-resistant shoes.
CONCLUSION: Provision of slip-resistant shoes was the strongest predictor of their use. Given their effectiveness and low cost, employers should consider providing slip-resistant shoes at work.

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Mesh:

Year:  2011        PMID: 21865205     DOI: 10.1136/injuryprev-2011-040094

Source DB:  PubMed          Journal:  Inj Prev        ISSN: 1353-8047            Impact factor:   2.399


  5 in total

1.  A structural equation modelling approach examining the pathways between safety climate, behaviour performance and workplace slipping.

Authors:  David I Swedler; Santosh K Verma; Yueng-Hsiang Huang; David A Lombardi; Wen-Ruey Chang; Melayne Brennan; Theodore K Courtney
Journal:  Occup Environ Med       Date:  2015-02-20       Impact factor: 4.402

2.  Deep Neural Network for Slip Detection on Ice Surface.

Authors:  Kent Wu; Suzy He; Geoff Fernie; Atena Roshan Fekr
Journal:  Sensors (Basel)       Date:  2020-12-02       Impact factor: 3.576

3.  Safety climate and use of personal protective equipment and safety medical devices among home care and hospice nurses.

Authors:  Jack K Leiss
Journal:  Ind Health       Date:  2014-07-24       Impact factor: 2.179

4.  Slip resistance of winter footwear on snow and ice measured using maximum achievable incline.

Authors:  Jennifer Hsu; Robert Shaw; Alison Novak; Yue Li; Marcus Ormerod; Rita Newton; Tilak Dutta; Geoff Fernie
Journal:  Ergonomics       Date:  2015-11-10       Impact factor: 2.778

5.  Development and Evaluation of a Slip Detection Algorithm for Walking on Level and Inclined Ice Surfaces.

Authors:  Jun-Yu Cen; Tilak Dutta
Journal:  Sensors (Basel)       Date:  2022-03-18       Impact factor: 3.576

  5 in total

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