Skip to main content
. Author manuscript; available in PMC: 2023 Jul 1.
Published in final edited form as: J Appl Gerontol. 2022 Apr 20;41(7):1752–1762. doi: 10.1177/07334648221086953

TABLE 3.

Multivariate Regression Predicting Membership in Driving Avoidance Latent Classes Among Current Drivers Age 60+ Years, ConsumerStyles 2015, United States, Sample N = 1198.a

Variable aORb (95% CI) for High Vs. Low Avoidance aOR (95% CI) for Moderate Vs. Low Avoidance aOR (95% CI) for Mild Vs. Low Avoidance

Gender (ref: Male): Female 6.9 (2.9–16.4) 2.7 (1.7–4.3) 1.4 (0.8–2.4)
Age Group (ref: 60–74 years): 75+ years 5.7 (2.8–11.9) 1.4 (0.8–2.5) 1.3 (0.8–2.4)
Race/Ethnicity (ref: White, non-Hispanic)
 Black, non-Hispanic 12.7 (3.3–48.9) 4.8 (1.8–13.2) 2.5 (0.7–9.3)
 Hispanic 3.3 (1.3–8.5) 1.7 (0.8–3.8) 0.7 (0.3–1.9)
 Other or multiple races, non-Hispanic 5.6 (1.4–22.0) 1.5 (0.5–4.7) 1.2 (0.4–3.5)
Education (ref: High school or less)
 Some college 1.1 (0.5–2.2) 1.2 (0.7–2.0) 1.2 (0.7–2.2)
 Bachelor’s degree or higher 0.2 (0.1–0.6) 1.1 (0.6–1.9) 1.1 (0.6–2.0)
Annual household income (ref: $25,000 or more): Less than $25,000 4.0 (1.7–9.1) 3.7 (1.9–7.0) 1.8 (0.8–4.0)

Note. a OR = adjusted odds ratio. CI = confidence interval.

a

Data weighted on gender, age, household income, race/ethnicity, household size, education, census region, metropolitan status, and household internet access prior to panel participation.

b

Odds ratios adjusted for all other variables in table.