Digital divide as a determinant of health in the U.S. older adults: prevalence, trends, and risk factors

BMC Geriatrics

Table 1 Sample characteristics (N = 5,671)

Categorical variables	Weighted %
Sex (female)	54.77
Education (some college or higher)	59.65
Married or partnered	56.75
Race/ethnicity
White people	67.49
African American	7.07
Hispanic people	7.31
Other	3.79
Annual household income (≥$50,00)	38.19
Live alone	29.39
Rural residency	16.53
Health insurance	97.12
Continuous variables	Weighted mean (SD)
Age (years)	74.26 (7.46)
Comorbidities	1.93 (1.80)
Self-rated health	3.24 (1.28)

Note. SD = standard deviation. All the results were weighted. Coding schemes for categorical variables were: sex (0 = male, 1 = female), education (0 = high school graduate or less, 1 = college graduate or more), marital status (0 = not married, 1 = married or partnered), race/ethnicity (0 = White people, 1 = African American, 2 = Hispanic people, 3 = other), annual household income (0 = less than US $50,000, 1 = ≥ US $50,000), living alone (0 = no, 1 = yes), rural residency (0 = no, 1 = yes), and health insurance (0 = had no health insurance, 1 = had health insurance)

ISSN: 1471-2318