Weighted characteristics of the analyzed sample by age-related macular degeneration (AMD) severity, NHANES 2005–2006.

† 4 daily movement patterns were assessed: Group 1) sufficiently active (see methods section) light-intensity physical activity (LPA) ≥ sedentary behavior (SED); Group 2) sufficiently active and but LPA < SED; Group 3) not sufficiently active but LPA ≥ SED; and Group 4) not sufficiently active and LPA < SED.
A Wald test was used to make comparisons between no AMD and late AMD across continuous variables (e.g., age). A chi-square test (design-based likelihood ratio test) was used for categorical variables (e.g., education). The design-based likelihood ratio test converts the chi-square value into an F-statistic. Beyond probability testing, the magnitude of each Wald test F-statistic and design-based likelihood ratio F-statistic was estimated using eta-squared (η 2), with values ≥ 0.1, 0.3, and 0.5, respectively, thought to be small, medium, and large (Lau & Kuk, 2011).Eta-squared (η2) calculated using the formula: (df1*F)/((df1*F)+df2). BMI = Body mass index. The 95% confidence intervals represent the 95% confidence interval for the observed mean/proportion. No AMD, n = 1533. Early AMD, n = 107. Late AMD, n = 16. AMD, age-related macular degeneration.
Weighted characteristics of the analyzed sample by age-related macular degeneration (AMD) severity, NHANES 2005–2006.