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. 2022 Feb;84(1):91–100. doi: 10.18999/nagjms.84.1.91

Table 2.

Logistic regression analysis to explain cardio–ankle vascular index as dependent variables

Model 1 Model 2
Odds 95% CI p Odds 95% CI p
Age 1.128 (1.050–1.211) <0.001 1.176 (1.055–1.311) 0.003
Gender (female) 0.319 (0.106–0.955) 0.041 0.074 (0.012–0.454) 0.005
BMI 0.917 (0.811–1.036) 0.164 0.723 (0.443–1.178) 0.193
ABI (Right side) 3.384 (1.378–8.307) 0.008 5.149 (1.511–17.547) 0.009
Walking MET-minutes/week 1.000 (0.999–1.001) 0.969 1.000 (0.999–1.001) 0.549
Long sedentary time 3.086 (1.275–7.467) 0.012 4.977 (1.497–16.554) 0.009
Care
needs
certificate
Need Support
level 1
0.089 (0.016–0.489) 0.005
Need Support
level 2
0.040 (0.004–0.371) 0.005
Need Care
Level 1
0.007 (0.000–0.155) 0.002
Skeletal muscle mass index 1.307 (0.397–4.308) 0.660
Body fat percentage 1.060 (0.894–1.256) 0.501
Grip strength 0.918 (0.817–1.031) 0.148
4m walking time 1.104 (0.822–1.484) 0.511
MMSE 0.919 (0.697–1.212) 0.550
MNA 1.173 (0.948–1.452) 0.141
GDS
category
mild 3.818 (1.016–14.347) 0.047
severe 1.049 (0.087–12.660) 0.970
Osteoarthropathy 0.543 (0.165–1.786) 0.315
Cardiovascular disease 1.132 (0.173–7.407) 0.897
Cerebrovascular disease 1.915 (0.217–16.933) 0.559
Diabetes 1.203 (0.146–9.904) 0.864

BMI: body mass index

ABI: ankle-brachial index

MMSE: Mini-Mental State Examination

MNA: Mini Nutritional Assessment