Table 1.

Hierarchical regression models with sociodemographic variables, number of physical and mental health conditions, and their interactions with age as predictors of AARC-gains and AARC-losses.

Predictors	Beta (95% CI); p-value	Standardized beta
Hierarchical regression models with sociodemographic variables and number of physical and mental health conditions as predictors of AARC-gains
Age	−0.02 (−0.05; 0.01); 0.242	−0.03
Sex	1.28 (0.98; 1.59); <0.001	0.14
Education	−0.10 (−0.19; −0.01); 0.029	−0.04
Marital status	−0.27 (−0.59; 0.05); 0.094	−0.03
Working status	−0.19 (−0.49; 0.12); 0.230	−0.02
Number of physical health conditions	0.36 (−0.60; 1.32); 0.462	0.12
Number of physical health conditions X age	−0.004 (−0.02; 0.01), 0.606	−0.09
Number of mental health conditions	−0.14 (−1.91; 1.63); 0.879	−0.03
Number of mental health conditions X age	0.002 (−0.02; 0.03); 0.862	0.03
Hierarchical regression models with sociodemographic variables and number of physical and mental health conditions as predictors of AARC-losses
Age	0.10 (0.07; 0.12); <0.001	0.20
Sex	−0.47 (−0.73; −0.22); <0.001	−0.06
Education	−0.12 (−0.20; −0.04); 0.002	−0.05
Marital status	−0.30 (−0.57; −0.02); 0.027	−0.04
Working status	−0.13 (−0.38; 0.13); 0.336	−0.02
Number of physical health conditions	0.38 (−0.42; 1.18); 0.351	0.14
Number of physical health conditions X age	0.003 (−0.01; 0.01); 0.598	0.08
Number of mental health conditions	2.74 (1.26; 4.21); <0.001	0.60
Number of mental health conditions X age	−0.03 (−0.05; −0.01); 0.007	−0.44