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. 2022 Feb 15;19(4):2182. doi: 10.3390/ijerph19042182

Table 2.

Factors associated with possible sarcopenia using multiple logistic regression.

Variables Model 1 Model 2
Crude OR 95% CI p-Value Adjusted OR 95% CI p-Value
Age (years) 1.12 1.08–1.16 <0.001 1.09 1.04–1.14 <0.001
Sex (with women as ref.) 1.89 1.00–3.59 0.051
BMI (kg/m2) 0.98 0.93–1.03 0.392
Number of comorbidities 1.03 0.80–1.33 0.825
Medical conditions
  Hypertension 0.85 0.50–1.43 0.846
  Heart disease 1.23 0.61–2.47 0.569
  Diabetes mellitus 1.41 0.79–2.51 0.244
  Osteoarthritis 0.92 0.47–1.79 0.803
  Stroke 0.86 0.33–2.23 0.751
History of falls 1.38 0.78–2.43 0.264
Physical inactivity 3.49 1.77–6.89 <0.001 1.95 0.88–4.30 0.100
Slow gait speed (<1.0 m/s) 8.17 4.08–16.36 <0.001 4.92 2.34–10.33 <0.001
TUG deficits (>11 s) 11.49 5.83–22.67 <0.001 6.65 3.20–13.84 <0.001

BMI, body mass index; TUG, timed up-and-go test; OR, odds ratio; CI, confidence interval. Model 1, no adjustment; Model 2, adjusted by sex, physical inactivity, slow gait speed, and TUG deficits for age; adjusted by age, sex, slow gait speed, and TUG deficits for physical inactivity; adjusted by age, sex, physical inactivity for slow gait speed and TUG deficits. Bold indicates significance with p < 0.05.