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10.1179/2049396714Y.0000000107 http://scihub22266oqcxt.onion/10.1179/2049396714Y.0000000107 C4457123!4457123!25816923     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Occup+Environ+Health 2015 ; 21 (2): 142-50 Nephropedia Template TP {{tp|p=25816923|t=2015. Occupational and non-occupational factors associated with work-related injuries among construction workers in the USA |pdf=|usr=}}{{25816923}} gab.com Text Occupational and non-occupational factors associated with work-related injuries among construction workers in the USA JO: Int J Occup Environ Health http://www.kidney.de/pget.php?&tw=1&pmid=25816923 #FOAvip Background:: Many factors contribute to occupational injuries. However, these factors have been compartmentalized and isolated in most studies. Objective:: To examine the relationship between work-related injuries and multiple occupational and non-occupational factors among construction workers in the USA. Methods:: Data from the 1988?2000 National Longitudinal Survey of Youth, 1979 cohort (N?=?12,686) were analyzed. Job exposures and health behaviors were examined and used as independent variables in four multivariate logistic regression models to identify associations with occupational injuries. Results:: After controlling for demographic variables, occupational injuries were 18% (95% CI: 1.04?1.34) more likely in construction than in non-construction. Blue-collar occupations, job physical efforts, multiple jobs, and long working hours accounted for the escalated risk in construction. Smoking, obesity/overweight, and cocaine use significantly increased the risk of work-related injury when demographics and occupational factors were held constant. Conclusions:: Workplace injuries are better explained by simultaneously examining occupational and non-occupational characteristics. Twit Text FOAVip Occupational and non-occupational factors associated with work-related injuries among construction workers in the USA ????Int J Occup Environ Health http://www.kidney.de/pget.php?&tw=1&pmid=25816923 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25816923 #FOAvip English Wikipedia <ref>{{Cite pmid|25816923}}</ref> Occupational and non-occupational factors associated with work-related injuries among construction workers in the USA #MMPMID25816923 Dong XS; Wang X; Largay JA Int J Occup Environ Health 2015[Mar]; 21 (2): 142-50 PMID25816923show ga Background:: Many factors contribute to occupational injuries. However, these factors have been compartmentalized and isolated in most studies. Objective:: To examine the relationship between work-related injuries and multiple occupational and non-occupational factors among construction workers in the USA. Methods:: Data from the 1988?2000 National Longitudinal Survey of Youth, 1979 cohort (N?=?12,686) were analyzed. Job exposures and health behaviors were examined and used as independent variables in four multivariate logistic regression models to identify associations with occupational injuries. Results:: After controlling for demographic variables, occupational injuries were 18% (95% CI: 1.04?1.34) more likely in construction than in non-construction. Blue-collar occupations, job physical efforts, multiple jobs, and long working hours accounted for the escalated risk in construction. Smoking, obesity/overweight, and cocaine use significantly increased the risk of work-related injury when demographics and occupational factors were held constant. Conclusions:: Workplace injuries are better explained by simultaneously examining occupational and non-occupational characteristics. äOccupational and non-occupational factors associated with work-related(epmc).pdf DeepDyve Pubget Overpricing