Table 3.

Factors associated with Framingham risk score among older people (n = 565) without diagnosed coronary artery disease

Variable	Regression coefficient (95% CI)	p-value*
Model 1 for MVPA
MVPA, per 10 min increase	-0.779 (-1.186 to -0.371)	< 0.001
AUDIT score	0.501 (0.207 to 0.794)	0.001
Living alone	5.107 (2.437 to 7.777)	< 0.001
Model 1 for LPA
LPA, per 10 min increase	-0.293 (-0.448 to -0.138)	< 0.001
AUDIT score	0.458 (0.163 to 0.754)	0.002
Living alone	5.345 (2.670 to 8.020)	< 0.001
Model 1 for ST
ST, per 10 min increase	0.290 (0.158 to 0.421)	< 0.001
AUDIT score	0.444 (0.150 to 0.738)	0.003
Living alone	5.363 (2.702 to 8.024)	< 0.001
Model 2 for MVPA
MVPA, per 10 min increase	-0.240 (-0.642 to 0.161)	0.241
AUDIT score	0.217 (-0.066 to 0.499)	0.132
Living alone	3.966 (1.455 to 6.478)	0.002
Waist circumference	0.387 (0.297 to 0.478)	< 0.001
Model 2 for LPA
LPA, per 10 min increase	-0.148 (-0.296 to 0.001)	0.052
AUDIT score	0.190 (-0.093 to 0.472)	0.187
Living alone	4.103 (1.592 to 6.615)	0.001
Waist circumference	0.385 (0.297 to 0.473)	< 0.001
Model 2 for ST
ST, per 10 min increase	0.131 (0.003 to 0.260)	0.046
AUDIT score	0.193 (-0.089 to 0.475)	0.180
Living alone	4.117 (1.606 to 6.629)	0.001
Waist circumference	0.378 (0.288 to 0.467)	< 0.001

CI Confidence intervals, MVPA Moderate to vigorous physical activity ≥ 3.50 MET, LPA Light physical activity 2.00–3.49 MET, ST Sedentary time 1.00–1.99 MET, AUDIT Alcohol use disorders identification test. Model 1 controlled for MVPA / LPA / ST, AUDIT score, living status and monitor wear time. Model 2 controlled for MVPA / LPA / ST, AUDIT score, living status, waist circumference and monitor wear time. *P-value for multivariable linear regression analysis. For MVPA, LPA and ST, the regression coefficient (95% CI) represents every 10 min increase in the examined variable