Work-related injuries among Hispanic construction workers-evidence from the medical expenditure panel survey.
BACKGROUND
Although a large number of Hispanic workers have entered the construction industry, few studies have estimated non-fatal work-related injuries for Hispanic construction workers at a national level. This study examines work-related injury conditions among Hispanic construction workers and assesses disparities between Hispanic and white, non-Hispanic workers.


METHODS
Pooled data were analyzed from a large national population survey, the Medical Expenditure Panel Survey (MEPS), between 1996 and 2002. More than 7,000 construction workers were identified from the MEPS data including 1,833 Hispanic workers and 4,533 white, non-Hispanic workers. Univariate and multivariate analyses were conducted using SAS-callable SUDAAN.


RESULTS
Hispanic workers differ from white, non-Hispanic workers in demographic and socioeconomic status. After controlling for major risk factors, Hispanic construction workers were more likely than their white, non-Hispanic counterparts to suffer non-fatal work-related injury conditions (OR = 1.28, 95% CI: 1.00-1.64).


CONCLUSIONS
This study provides important evidence concerning Hispanic workers' safety on construction sites. Enhanced safety and health programs for Hispanic construction workers and improved occupational injury data systems are recommended.
Dong
Xiuwen Sue
XS
Formerly The Center to Protect Workers' Rights, Silver Spring, Maryland, USA. sdong@cpwr.com <sdong@cpwr.com>
Men
Yurong
Y
Ringen
Knut
K
D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000368:Aged; D016001:Confidence Intervals; D005260:Female; D005102:Health Expenditures / Q000706:statistics & numerical data; D054624:Health Status Disparities; D006306:Health Surveys; D006630:Hispanic or Latino / Q000706:statistics & numerical data*; D006801:Humans; D007221:Industry / Q000706:statistics & numerical data*; D015601:Injury Severity Score; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009784:Occupational Diseases / Q000453:epidemiology*; D016273:Occupational Exposure / Q000009:adverse effects*; D016017:Odds Ratio; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data; D055815:Young Adult