Occupational Injury in America: An analysis of risk factors using data from the General Social Survey (GSS)

Embry-Riddle Aeronautical University, Worldwide Campus, Department of Aeronautics, 600 S. Clyde Morris Blvd., Daytona Beach, FL 32114, USA.
Journal of safety research (Impact Factor: 1.34). 02/2012; 43(1):67-74. DOI: 10.1016/j.jsr.2011.12.002
Source: PubMed


Although much is known about the distribution of occupational injury in terms of various job and employment factors, considerably less is known about other possible risk factors, particularly those involving psychosocial and organizational factors. These factors have not been emphasized in most injury surveillance systems or large scale, population based surveys.
In this study, data from the 2002 General Social Survey (GSS) and NIOSH Quality of Work Life (QWL) module were used to examine the risk of occupational injury in terms of socio-demographic factors, employment characteristics, and organizational factors.
The most informative results were obtained from Poisson regression analyses, which identified race, occupational category, and work-family interference as risk factors, and safety climate and organizational effectiveness as protective factors for occupational injury. These results provide guidance for targeting interventions and protective measures to curtail occupational injury in the United States.

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    • "People working shifts or long hours are at higher risk for sleep problems and work injuries (Dembe et al., 2005; Folkard and Tucker, 2003; Metlaine et al., 2005). Work injuries are more common in blue-collar workers, whereas there are conflicting results for the prevalence of sleep problems in occupational categories (Metlaine et al., 2005; Smith and DeJoy, 2012). Short sleeping hours, medication and comorbid conditions were related to poor sleep quality and to work injuries (Ashton, 2004; Cameron ª 2014 European Sleep Research Society 1 J Sleep Res. "
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    ABSTRACT: Sleep problems are a well-known risk factor for work injuries, but less is known about which vulnerable populations are most at risk. The aims of this study were to investigate the association between sleep quality and the risk of work injury and to identify factors that may modify the association. A case-control study including 180 cases and 551 controls was conducted at the University Hospital in Basel, Switzerland, from 1 December 2009 to 30 June 2011. Data on work injuries and sleep quality were collected. Adjusted odds ratios and 95% confidence intervals of the association between sleep quality and work injury were estimated in multivariable logistic regression analyses and were stratified by hypothesized effect modifiers (age, gender, job risk, shift work, sleep duration and working hours). Poor sleep quality was associated significantly with work injury of any type (P < 0.05) and with being caught in particular (P < 0.05). The association between poor sleep quality and work injury was significantly higher for workers older than 30 years (odds ratio>30 1.30 versus odds ratio≤30 0.91, P < 0.01), sleeping 7 h or less per night (odds ratio≤7 1.17 versus odds ratio>7 0.79, P < 0.05) and working 50 h or more per week (odds ratio≥50 1.79 versus odd ratio<50 1.10, P < 0.01). Work injury risk increased with increasing severity of sleep problems (P < 0.05). Prior work injury frequency increased with decreasing sleep quality (P < 0.05). Older age, short sleep duration and long working hours may enhance the risk of work injuries associated with sleep quality.
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