Shift work and long-term injury among police officers

OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419)...
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Gespeichert in:

Autor*in:	John M Violanti [verfasserIn] Desta Fekedulegn [verfasserIn] Michael E Andrew [verfasserIn] Luenda E Charles [verfasserIn] Tara A Hartley [verfasserIn] Bryan Vila [verfasserIn] Cecil M Burchfiel [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2013

Schlagwörter:	law enforcement atypical work hour work history occupational injury shift work accident prevention injury police officer long-term injury police

Übergeordnetes Werk:	In: Scandinavian Journal of Work, Environment & Health - Nordic Association of Occupational Safety and Health (NOROSH), 2021, 39(2013), 4, Seite 361-368
Übergeordnetes Werk:	volume:39 ; year:2013 ; number:4 ; pages:361-368

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.5271/sjweh.3342

Katalog-ID:	DOAJ014789949

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520			\|a OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association.
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allfields	10.5271/sjweh.3342 doi (DE-627)DOAJ014789949 (DE-599)DOAJddf85437c7d743dabd797b47a9fb644b DE-627 ger DE-627 rakwb eng RA1-1270 John M Violanti verfasserin aut Shift work and long-term injury among police officers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association. law enforcement atypical work hour work history occupational injury shift work accident prevention injury police officer long-term injury police Public aspects of medicine Desta Fekedulegn verfasserin aut Michael E Andrew verfasserin aut Luenda E Charles verfasserin aut Tara A Hartley verfasserin aut Bryan Vila verfasserin aut Cecil M Burchfiel verfasserin aut In Scandinavian Journal of Work, Environment & Health Nordic Association of Occupational Safety and Health (NOROSH), 2021 39(2013), 4, Seite 361-368 (DE-627)350781230 (DE-600)2083318-0 1795990X nnns volume:39 year:2013 number:4 pages:361-368 https://doi.org/10.5271/sjweh.3342 kostenfrei https://doaj.org/article/ddf85437c7d743dabd797b47a9fb644b kostenfrei https://www.sjweh.fi/show_abstract.php?abstract_id=3342 kostenfrei https://doaj.org/toc/0355-3140 Journal toc kostenfrei https://doaj.org/toc/1795-990X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2044 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2107 GBV_ILN_2190 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2013 4 361-368
spelling	10.5271/sjweh.3342 doi (DE-627)DOAJ014789949 (DE-599)DOAJddf85437c7d743dabd797b47a9fb644b DE-627 ger DE-627 rakwb eng RA1-1270 John M Violanti verfasserin aut Shift work and long-term injury among police officers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association. law enforcement atypical work hour work history occupational injury shift work accident prevention injury police officer long-term injury police Public aspects of medicine Desta Fekedulegn verfasserin aut Michael E Andrew verfasserin aut Luenda E Charles verfasserin aut Tara A Hartley verfasserin aut Bryan Vila verfasserin aut Cecil M Burchfiel verfasserin aut In Scandinavian Journal of Work, Environment & Health Nordic Association of Occupational Safety and Health (NOROSH), 2021 39(2013), 4, Seite 361-368 (DE-627)350781230 (DE-600)2083318-0 1795990X nnns volume:39 year:2013 number:4 pages:361-368 https://doi.org/10.5271/sjweh.3342 kostenfrei https://doaj.org/article/ddf85437c7d743dabd797b47a9fb644b kostenfrei https://www.sjweh.fi/show_abstract.php?abstract_id=3342 kostenfrei https://doaj.org/toc/0355-3140 Journal toc kostenfrei https://doaj.org/toc/1795-990X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2044 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2107 GBV_ILN_2190 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2013 4 361-368
allfields_unstemmed	10.5271/sjweh.3342 doi (DE-627)DOAJ014789949 (DE-599)DOAJddf85437c7d743dabd797b47a9fb644b DE-627 ger DE-627 rakwb eng RA1-1270 John M Violanti verfasserin aut Shift work and long-term injury among police officers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association. law enforcement atypical work hour work history occupational injury shift work accident prevention injury police officer long-term injury police Public aspects of medicine Desta Fekedulegn verfasserin aut Michael E Andrew verfasserin aut Luenda E Charles verfasserin aut Tara A Hartley verfasserin aut Bryan Vila verfasserin aut Cecil M Burchfiel verfasserin aut In Scandinavian Journal of Work, Environment & Health Nordic Association of Occupational Safety and Health (NOROSH), 2021 39(2013), 4, Seite 361-368 (DE-627)350781230 (DE-600)2083318-0 1795990X nnns volume:39 year:2013 number:4 pages:361-368 https://doi.org/10.5271/sjweh.3342 kostenfrei https://doaj.org/article/ddf85437c7d743dabd797b47a9fb644b kostenfrei https://www.sjweh.fi/show_abstract.php?abstract_id=3342 kostenfrei https://doaj.org/toc/0355-3140 Journal toc kostenfrei https://doaj.org/toc/1795-990X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2044 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2107 GBV_ILN_2190 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2013 4 361-368
allfieldsGer	10.5271/sjweh.3342 doi (DE-627)DOAJ014789949 (DE-599)DOAJddf85437c7d743dabd797b47a9fb644b DE-627 ger DE-627 rakwb eng RA1-1270 John M Violanti verfasserin aut Shift work and long-term injury among police officers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association. law enforcement atypical work hour work history occupational injury shift work accident prevention injury police officer long-term injury police Public aspects of medicine Desta Fekedulegn verfasserin aut Michael E Andrew verfasserin aut Luenda E Charles verfasserin aut Tara A Hartley verfasserin aut Bryan Vila verfasserin aut Cecil M Burchfiel verfasserin aut In Scandinavian Journal of Work, Environment & Health Nordic Association of Occupational Safety and Health (NOROSH), 2021 39(2013), 4, Seite 361-368 (DE-627)350781230 (DE-600)2083318-0 1795990X nnns volume:39 year:2013 number:4 pages:361-368 https://doi.org/10.5271/sjweh.3342 kostenfrei https://doaj.org/article/ddf85437c7d743dabd797b47a9fb644b kostenfrei https://www.sjweh.fi/show_abstract.php?abstract_id=3342 kostenfrei https://doaj.org/toc/0355-3140 Journal toc kostenfrei https://doaj.org/toc/1795-990X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2044 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2107 GBV_ILN_2190 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2013 4 361-368
allfieldsSound	10.5271/sjweh.3342 doi (DE-627)DOAJ014789949 (DE-599)DOAJddf85437c7d743dabd797b47a9fb644b DE-627 ger DE-627 rakwb eng RA1-1270 John M Violanti verfasserin aut Shift work and long-term injury among police officers 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association. law enforcement atypical work hour work history occupational injury shift work accident prevention injury police officer long-term injury police Public aspects of medicine Desta Fekedulegn verfasserin aut Michael E Andrew verfasserin aut Luenda E Charles verfasserin aut Tara A Hartley verfasserin aut Bryan Vila verfasserin aut Cecil M Burchfiel verfasserin aut In Scandinavian Journal of Work, Environment & Health Nordic Association of Occupational Safety and Health (NOROSH), 2021 39(2013), 4, Seite 361-368 (DE-627)350781230 (DE-600)2083318-0 1795990X nnns volume:39 year:2013 number:4 pages:361-368 https://doi.org/10.5271/sjweh.3342 kostenfrei https://doaj.org/article/ddf85437c7d743dabd797b47a9fb644b kostenfrei https://www.sjweh.fi/show_abstract.php?abstract_id=3342 kostenfrei https://doaj.org/toc/0355-3140 Journal toc kostenfrei https://doaj.org/toc/1795-990X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2044 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2107 GBV_ILN_2190 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2013 4 361-368
language	English
source	In Scandinavian Journal of Work, Environment & Health 39(2013), 4, Seite 361-368 volume:39 year:2013 number:4 pages:361-368
sourceStr	In Scandinavian Journal of Work, Environment & Health 39(2013), 4, Seite 361-368 volume:39 year:2013 number:4 pages:361-368
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topic_facet	law enforcement atypical work hour work history occupational injury shift work accident prevention injury police officer long-term injury police Public aspects of medicine
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container_title	Scandinavian Journal of Work, Environment & Health
authorswithroles_txt_mv	John M Violanti @@aut@@ Desta Fekedulegn @@aut@@ Michael E Andrew @@aut@@ Luenda E Charles @@aut@@ Tara A Hartley @@aut@@ Bryan Vila @@aut@@ Cecil M Burchfiel @@aut@@
publishDateDaySort_date	2013-01-01T00:00:00Z
hierarchy_top_id	350781230
id	DOAJ014789949
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ014789949</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310071051.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2013 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.5271/sjweh.3342</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ014789949</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJddf85437c7d743dabd797b47a9fb644b</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">John M Violanti</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Shift work and long-term injury among police officers</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. 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callnumber-first	R - Medicine
author	John M Violanti
spellingShingle	John M Violanti misc RA1-1270 misc law enforcement misc atypical work hour misc work history misc occupational injury misc shift work misc accident prevention misc injury misc police officer misc long-term injury misc police misc Public aspects of medicine Shift work and long-term injury among police officers
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topic_title	RA1-1270 Shift work and long-term injury among police officers law enforcement atypical work hour work history occupational injury shift work accident prevention injury police officer long-term injury police
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title	Shift work and long-term injury among police officers
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title_full	Shift work and long-term injury among police officers
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author_browse	John M Violanti Desta Fekedulegn Michael E Andrew Luenda E Charles Tara A Hartley Bryan Vila Cecil M Burchfiel
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title_sort	shift work and long-term injury among police officers
callnumber	RA1-1270
title_auth	Shift work and long-term injury among police officers
abstract	OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association.
abstractGer	OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association.
abstract_unstemmed	OBJECTIVE: Our previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, we extended our inquiry to determine whether the incidence of long-term injury leave varies across shifts. METHODS: Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994–2010 was collected. Injury leave duration was examined ranging from ≥1–≥90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. RESULTS: Cumulative incidence of injury for different durations of leave defined as ≥1, ≥5, ≥10, ≥15, ≥30, and ≥90 days were 61.3%, 45.4%, 39.9%, 33.9%, 26.5%, and 9.6% respectively. Age-and gender adjusted IRR of long-term injury (≥90 days) for night versus day shifts was IRR 3.12, 95% confidence interval (95% CI) 1.35–7.21 and IRR 2.21, 95% CI 1.04–4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury ≥90 days, night versus day shifts (IRR 3.12, 95% CI 1.35–7.21). CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association.
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title_short	Shift work and long-term injury among police officers
url	https://doi.org/10.5271/sjweh.3342 https://doaj.org/article/ddf85437c7d743dabd797b47a9fb644b https://www.sjweh.fi/show_abstract.php?abstract_id=3342 https://doaj.org/toc/0355-3140 https://doaj.org/toc/1795-990X
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CONCLUSIONS: Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. 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Shift work and long-term injury among police officers

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