INTRODUCTION: This study examines the effect of long-hour work schedules and nonstandard shift work (e.g., night and evening shifts) on the ability of injured workers to maintain productive employment following a workplace injury. METHODS: Analyses were based on 13 years of data from the National Longitudinal Survey of Youth. Multivariate logistic regression analyses were performed with one of ten nonstandard schedules as the independent variable and a particular vocational consequences as the dependent variable. Vocational consequences included being unable to perform normal job duties, temporary job reassignment, working less than full time, filing a workers' compensation claim, and quitting or being fired because of the injury. Covariates in the regression model included age, gender, occupation, industry, and region. RESULTS: The most prominent effects of working a nonstandard schedule were a increased risk of being fired (OR = 1.81; 1.15-2.90 CI 95%), quitting (OR = 1.68; 1.20-2.36 CI 95%), or being unable to work full time (OR = 1.33; 1.08-1.64 CI 95%) following an injury, compared to injured workers in conventional schedules. Schedules involving overtime and long working hours generally had a greater impact on vocational consequences following a workplace injury than did schedules involving night, evening, and other nonstandard shift work. CONCLUSIONS: Occupational rehabilitation professionals need to consider the specific type of work schedule when developing effective return-to-work plans for injured workers. Special precautions need to be taken for workers returning to schedules that involve more than 12 h per day, 60 h per week, and long commutes.
INTRODUCTION: This study examines the effect of long-hour work schedules and nonstandard shift work (e.g., night and evening shifts) on the ability of injured workers to maintain productive employment following a workplace injury. METHODS: Analyses were based on 13 years of data from the National Longitudinal Survey of Youth. Multivariate logistic regression analyses were performed with one of ten nonstandard schedules as the independent variable and a particular vocational consequences as the dependent variable. Vocational consequences included being unable to perform normal job duties, temporary job reassignment, working less than full time, filing a workers' compensation claim, and quitting or being fired because of the injury. Covariates in the regression model included age, gender, occupation, industry, and region. RESULTS: The most prominent effects of working a nonstandard schedule were a increased risk of being fired (OR = 1.81; 1.15-2.90 CI 95%), quitting (OR = 1.68; 1.20-2.36 CI 95%), or being unable to work full time (OR = 1.33; 1.08-1.64 CI 95%) following an injury, compared to injured workers in conventional schedules. Schedules involving overtime and long working hours generally had a greater impact on vocational consequences following a workplace injury than did schedules involving night, evening, and other nonstandard shift work. CONCLUSIONS: Occupational rehabilitation professionals need to consider the specific type of work schedule when developing effective return-to-work plans for injured workers. Special precautions need to be taken for workers returning to schedules that involve more than 12 h per day, 60 h per week, and long commutes.
Authors: J R Anema; B Cuelenaere; A J van der Beek; D L Knol; H C W de Vet; W van Mechelen Journal: Occup Environ Med Date: 2004-04 Impact factor: 4.402
Authors: Ronald C Kessler; Patricia A Berglund; Catherine Coulouvrat; Timothy Fitzgerald; Goeran Hajak; Thomas Roth; Victoria Shahly; Alicia C Shillington; Judith J Stephenson; James K Walsh Journal: Sleep Date: 2012-06-01 Impact factor: 5.849
Authors: Lisa N Sharwood; Holger Möller; Jesse T Young; Bharat Vaikuntam; Rebecca Q Ivers; Tim Driscoll; James W Middleton Journal: Int J Environ Res Public Health Date: 2019-04-29 Impact factor: 3.390
Authors: Won-Tae Lee; Sung-Shil Lim; Jihyun Kim; Sehyun Yun; Jin-Ha Yoon; Jong-Uk Won Journal: Int J Environ Res Public Health Date: 2020-10-19 Impact factor: 3.390