2014
DOI: 10.1136/oemed-2013-101827
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Individual-level and plant-level predictors of acute, traumatic occupational injuries in a manufacturing cohort

Abstract: ObjectivesWorkplace and contextual factors that may affect risk for worker injury are not well described. This study used results from an employee job satisfaction survey to construct aggregate indicators of the work environment and estimate the relative contribution of those factors to injury rates in a manufacturing cohort.MethodsPrincipal components analysis was used to construct four plant-level factors from responses to a 32 question survey of the entire workforce, administered in 2006. Multilevel Poisson… Show more

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Cited by 21 publications
(12 citation statements)
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“…Some studies suggest that younger and less experienced miners sustain more injuries on the job (e.g., Laflamme and Blank 1996), but the scholarship is not unanimous on this point. (See, for example, Souza 2009.) Based on a careful review of 1993-1998 1999-2004 2005-2010 Notes: Significance levels: *** 1%, ** 5%, * 10%.…”
Section: Discussionmentioning
confidence: 99%
“…Some studies suggest that younger and less experienced miners sustain more injuries on the job (e.g., Laflamme and Blank 1996), but the scholarship is not unanimous on this point. (See, for example, Souza 2009.) Based on a careful review of 1993-1998 1999-2004 2005-2010 Notes: Significance levels: *** 1%, ** 5%, * 10%.…”
Section: Discussionmentioning
confidence: 99%
“…Many factors are recognized as contributing to occupational injury risk, including work demands, age, lifestyle and job stress (Chau et al, 2009; Pollack et al, 2007; Taiwo et al, 2009; Souza et al, 2014). Mounting evidence links ambient noise exposure to injury risk although the causal pathway for this association remains unclear (Amjad-Sardrudi et al, 2012; Moll van Charante and Mulder, 1990; Wilkins and Action, 1982; Picard et al, 2008; Girard et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…As Pouliakas and Theodossiou () argue, work‐related accidents are attributed to both the individual employee characteristics and the overall economic and sociocultural climate. For example, working hours are among the most commonly met determinants of work‐related injuries (Souza et al ., ). Toward this end, information on country unemployment rates, the average annual hours worked per worker, and the annual growth rate of unit labor cost is drawn from the OECD Statistics database.…”
Section: The Datasetmentioning
confidence: 97%
“…For example, working hours are among the most commonly met determinants of work-related injuries (Souza et al, 2014). Toward this end, information on country unemployment rates, the average annual hours worked per worker, and the annual growth rate of unit labor cost is drawn from the OECD Statistics database.…”
Section: The Datasetmentioning
confidence: 99%