Table 5. Impact of multimorbidity on HRQoL for males.
MALE | |||||||||
---|---|---|---|---|---|---|---|---|---|
55–59 years | 60–64 years | 65–69 years | ≥ 70 years | ||||||
Beta | P | Beta | P | Beta | P | Beta | P | ||
SF-36 (PCS) | Intercept | 61.0 | <0.0001 | 64.5 | <0.0001 | 58.2 | <0.0001 | 56.8 | <0.0001 |
Pattern A Score | -2.29 | <0.0001 | -3.49 | <0.0001 | -2.39 | <0.0001 | -2.95 | <0.0001 | |
Pattern B Score | -3.29 | <0.0001 | -3.36 | <0.0001 | -2.39 | <0.0001 | -1.95 | 0.0023 | |
Adjusted Pattern A Score* | -1.9 | <0.0001 | -3.0 | <0.0001 | -2.1 | <0.0001 | -2.7 | <0.0001 | |
Adjusted Pattern B Score* | -2.3 | 0.0027 | -1.6 | 0.0021 | -1.8 | 0.0005 | -1.3 | 0.0391 | |
SF-36 (MCS) | Intercept | 53.4 | <0.0001 | 54.3 | <0.0001 | 56.3 | <0.0001 | 55.1 | <0.0001 |
Pattern A Score | -5.39 | <0.0001 | -4.07 | <0.0001 | -3.13 | <0.0001 | -4.38 | <0.0001 | |
Pattern B Score | -0.96 | 0.4244 | -1.35 | 0.0380 | -0.91 | 0.1307 | -0.92 | 0.21 | |
Adjusted Pattern A Score* | -5.4 | <0.0001 | -4.0 | <0.0001 | -3.1 | <0.0001 | -4.4 | <0.0001 | |
Adjusted Pattern B Score* | / | -0.6 | 0.3607 | -0.5 | 0.4128 | / | |||
Duke (Phys) | Intercept | 112.4 | <0.0001 | 114.3 | <0.0001 | 105.4 | <0.0001 | 106.9 | <0.0001 |
Pattern A Score | -10.6 | <0.0001 | -12.9 | <0.0001 | -10.9 | <0.0001 | -13.7 | <0.0001 | |
Pattern B Score | -8.13 | 0.0001 | -10.5 | <0.0001 | -5.81 | <0.0001 | -6.35 | 0.0003 | |
Adjusted Pattern A Score* | -9.8 | <0.0001 | -11.7 | <0.0001 | -10.3 | <0.0001 | -12.8 | <0.0001 | |
Adjusted Pattern B Score* | -5.7 | 0.0047 | -5.3 | <0.0001 | -3.4 | 0.0057 | -3.5 | 0.0280 | |
Duke (Ment) | Intercept | 92.8 | <0.0001 | 87.3 | <0.0001 | 88.4 | <0.0001 | 86.3 | <0.0001 |
Pattern A Score | -11.8 | <0.0001 | -10.5 | <0.0001 | -7.13 | <0.0001 | -10.9 | <0.0001 | |
Pattern B Score | -1.91 | 0.4262 | -3.69 | 0.0077 | -3.81 | 0.0024 | -2.03 | 0.2154 | |
Adjusted Pattern A score* | -11.5 | <0.0001 | -10.3 | <0.0001 | -6.9 | <0.0001 | -10.9 | <0.0001 | |
Adjusted Pattern B Score* | / | -1.6 | 0.2276 | -2.9 | 0.0177 | / |
* Linear regression model for each age class was adjusted for body mass index (BMI), professional status, education level, family status and smoking status.