title: Injuries in working populations: black-white differences.
abstract: BACKGROUND
  Although "accidents and adverse effects" mortality is higher among Blacks than Whites, annual injury rates reported in the National Health Interview Survey (NHIS) are lower among Blacks. We evaluated the influence of sociodemographic risk factors on injury rates among working adults.
  
  
  METHODS
  NHIS data from 1983 through 1987 for currently working adults were used. Methods were developed to estimate standard errors using data from different sample frames and sample sizes.
  
  
  RESULTS
  Working Blacks had fewer reported injuries requiring medical attention or restriction of usual activities than working Whites (22.0 vs 27.0 per 100 persons per year). The difference was pronounced among younger adults in both sexes and among both poor and nonpoor. However, age, sex, and income could not completely explain racial differentials. "At-work" injury rates (36% of all injury episodes) were similar for Blacks and Whites (9.2 vs 9.9 per 100 persons per year), except low-income Blacks and Blacks in service or blue-collar occupations had nonsignificantly smaller at-work injury rates.
  
  
  CONCLUSIONS
  Possible reporting biases could not be completely eliminated. However, available evidence does not rule out a true difference in injury rates by race, highlighting the complexity of understanding the etiology of injuries and, hence, developing public health programs to prevent injuries.
authors.affiliation: Division of Epidemiology and Health Promotion, Centers for Disease Control, Atlanta.
authors.forename: D K
authors.initials: DK
authors.lastname: Wagener
authors.forename: D W
authors.initials: DW
authors.lastname: Winn
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D000367:Age Factors; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data*; D014947:Wounds and Injuries / Q000453:epidemiology / Q000208:ethnology*