OBJECTIVE: This study was designed to determine whether injury risk among manufacturing workers was related to hours worked during the previous week. METHODS: A case-crossover design was utilized to contrast hours worked prior to an injury shift with those worked prior to a non-injury shift for hourly workers. Paired t-tests were used to determine significance of the difference. Conditional logistic regression was used to assess dose-response. RESULTS: Hours worked prior to injury significantly exceeded hours during the control week. Workers who worked more than 64 hr in the week before the shift had an 88% excess risk compared to those who worked 40 hr or fewer, P < 0.05. CONCLUSION: The study provides evidence that injury risk is related to time worked during the previous week. Control of overtime in manufacturing may reduce risk of worker injury. (c) 2007 Wiley-Liss, Inc.
OBJECTIVE: This study was designed to determine whether injury risk among manufacturing workers was related to hours worked during the previous week. METHODS: A case-crossover design was utilized to contrast hours worked prior to an injury shift with those worked prior to a non-injury shift for hourly workers. Paired t-tests were used to determine significance of the difference. Conditional logistic regression was used to assess dose-response. RESULTS: Hours worked prior to injury significantly exceeded hours during the control week. Workers who worked more than 64 hr in the week before the shift had an 88% excess risk compared to those who worked 40 hr or fewer, P < 0.05. CONCLUSION: The study provides evidence that injury risk is related to time worked during the previous week. Control of overtime in manufacturing may reduce risk of worker injury. (c) 2007 Wiley-Liss, Inc.
Authors: Helen Marucci-Wellman; Tom B Leamon; Joanna L Willetts; Ta Thi Tuyet Binh; Nguyen Bich Diep; David H Wegman; David Kriebel Journal: Am J Public Health Date: 2011-05 Impact factor: 9.308
Authors: Oyebode A Taiwo; Linda F Cantley; Martin D Slade; Keshia M Pollack; Sally Vegso; Martha G Fiellin; Mark R Cullen Journal: Am J Epidemiol Date: 2008-11-07 Impact factor: 4.897
Authors: Holly Elser; Andreas M Neophytou; Erika Tribett; Deron Galusha; Sepideh Modrek; Elizabeth M Noth; Valerie Meausoone; Ellen A Eisen; Linda F Cantley; Mark R Cullen Journal: Int J Epidemiol Date: 2019-10-01 Impact factor: 7.196
Authors: Linda F Cantley; Deron Galusha; Mark R Cullen; Christine Dixon-Ernst; Peter M Rabinowitz; Richard L Neitzel Journal: Scand J Work Environ Health Date: 2014-08-19 Impact factor: 5.024
Authors: Khaled Abdulrahman Altassan; Carine J Sakr; Deron Galusha; Martin D Slade; Baylah Tessier-Sherman; Linda F Cantley Journal: J Occup Environ Med Date: 2018-09 Impact factor: 2.162
Authors: Joanne DeSanto Iennaco; Mark R Cullen; Linda Cantley; Martin D Slade; Martha Fiellin; Stanislav V Kasl Journal: Am J Epidemiol Date: 2009-12-24 Impact factor: 4.897