title: Income is a stronger predictor of mortality than education in a national sample of US adults.
abstract: Low socioeconomic status (SES) is associated with mortality in several populations. SES measures, such as education and income, may operate through different pathways. However, the independent effect of each measure mutually adjusting for the effect of other SES measures is not clear. The association between poverty-income ratio (PIR) and education and all-cause mortality among 15,646 adults, aged >20 years, who participated in the Third National Health and Nutrition Examination Survey in the USA, was examined. The lower PIR quartiles and less than high school education were positively associated with all-cause mortality in initial models adjusting for the demographic, lifestyle and clinical risk factors. After additional adjustment for education, the lower PIR quartiles were still significantly associated with all-cause mortality. The multivariable odds ratio (OR) [95% confidence interval (CI)] of all-cause mortality comparing the lowest to the highest quartile of PIR was 2.11 (1.52-2.95, p trend < or = 0.0001). In contrast, after additional adjustment for income, education was no longer associated with all-cause mortality [multivariable OR (95% CI) of all-cause mortality comparing less than high school to more than high school education was 1.05 (0.85-1.31, p trend=0.57)]. The results suggest that income may be a stronger predictor of mortality than education, and narrowing the income differentials may reduce the health disparities.
authors.affiliation: Department of Community Medicine, West Virginia University School of Medicine, Morgantown, WV 26506, USA.
authors.forename: Charumathi
authors.initials: C
authors.lastname: Sabanayagam
authors.forename: Anoop
authors.initials: A
authors.lastname: Shankar
mesh_terms: D000328:Adult; D004522:Educational Status; D054624:Health Status Disparities; D006306:Health Surveys; D006801:Humans; D007182:Income; D008875:Middle Aged; D009026:Mortality / Q000639:trends*; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D055815:Young Adult