Skip to main content

Table 2 Mixed linear regression model results (b-coefficient and 95% confidence interval (CI)) evaluating the age/gender-adjusted effects of educational level and household wealth on the metric that used as a proxy of healthy aging, after taking into account the effect of lifestyle behaviors, of the n = 10,906 ELSA participants, across all ELSA study waves (2002–2012)

From: Social determinants, health status and 10-year mortality among 10,906 older adults from the English longitudinal study of aging: the ATHLOS project

  Model 1 Model 2 Model 3 Model 4
  b (95% CI) b (95% CI) b (95% CI) b (95% CI)
Educational level (Ref. Low)
 Moderate 2.00 (1.60, 2.40) 1.96 (1.55, 2.36) 1.68 (1.31, 2.05) 1.88 (1.48, 2.27)
 High 2.64 (2.25, 3.03) 2.54 (2.15, 2.93) 2.28 (1.91, 2.64) 2.48 (2.09, 2.87)
Household wealth (Ref. Low)
 Moderate 1.94 (1.68, 2.20) 1.91 (1.65, 2.17) 1.82 (1.57, 2.07) 1.88 (1.62, 2.14)
 High 3.10 (2.81, 3.39) 3.06 (2.77, 3.34) 2.90 (2.63, 3.17) 2.99 (2.70, 3.28)
 Gender (Ref. Female) 1.93 (1.56, 2.29) 2.15 (1.79, 2.52) 2.09 (1.75, 2.42) 1.74 (1.38, 2.11)
 Age (years) −0.39 (−0.41, −0.37) − 0.39 (− 0.40, − 0.37) −0.33 (− 0.35, − 0.32) −0.38 (− 0.39, − 0.36)
Smoking habits (Ref. Never smoker)
 Former smoker   −1.43 (− 1.76, − 1.11)   
 Current smoker   −1.41 (− 1.87, − 0.95)   
Physical activity (Ref. Inactive)
 Moderate activity    6.12 (5.56, 6.68)  
 Vigorous activity    8.85 (8.32, 9.38)  
Alcohol consumption (Ref. Never)
 Twice a week or less     1.67 (1.39, 1.94)
 More than twice a week     2.36 (2.05, 2.66)