title: Race/ethnicity and all-cause mortality in US adults: revisiting the Hispanic paradox.
abstract: OBJECTIVE
  We examined the association between race/ethnicity and all-cause mortality risk in US adults and whether this association differs by nativity status.
  
  
  METHODS
  We used Cox proportional hazards regression to estimate all-cause mortality rates in 1997 through 2004 National Health Interview Survey respondents, relating the risk for Hispanic subgroup, non-Hispanic Black, and other non-Hispanic to non-Hispanic White adults before and after controlling for selected characteristics stratified by age and gender.
  
  
  RESULTS
  We observed a Hispanic mortality advantage over non-Hispanic Whites among women that depended on nativity status: US-born Mexican Americans aged 25 to 44 years had a 90% (95% confidence interval [CI] = 0.03, 0.31) lower death rate; island- or foreign-born Cubans and other Hispanics aged 45 to 64 years were more than two times less likely to die than were their non-Hispanic White counterparts. Island- or foreign-born Puerto Rican and US-born Mexican American women aged 65 years and older exhibited at least a 25% lower rate of dying than did their non-Hispanics White counterparts.
  
  
  CONCLUSIONS
  The "Hispanic paradox" may not be a static process and may change with this population growth and its increasing diversity over time.
authors.affiliation: Department of Health Sciences, City University of New York, Bronx, NY, USA. Luisa.Borrell@lehman.cuny.edu
authors.forename: Luisa N
authors.initials: LN
authors.lastname: Borrell
authors.forename: Elizabeth A
authors.initials: EA
authors.lastname: Lancet
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D017677:Age Distribution; D000368:Aged; D005260:Female; D006306:Health Surveys; D006630:Hispanic or Latino / Q000145:classification* / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009026:Mortality / Q000208:ethnology*; D016016:Proportional Hazards Models; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology / Q000208:ethnology; D044465:White People / Q000706:statistics & numerical data