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

Table 3.

Factors associated with physical inactivity using multiple logistic regression.

Variables Model 1 Model 2
Crude OR 95% CI p-Value Adjusted OR 95% CI p-Value
Age (years) 1.05 1.02–1.08 0.001 1.00 0.96–1.04 0.875
Sex (with women as ref.) 0.61 0.32–1.17 0.138
BMI (kg/m2) 1.04 0.99–1.10 0.147
Number of comorbidities 1.29 1.00–1.67 0.051
Medical conditions
  Hypertension 1.14 0.67–1.96 0.624
  Heart disease 1.51 0.77–2.94 0.277
  Diabetes mellitus 1.16 0.66–2.04 0.605
  Osteoarthritis 1.56 0.81–3.01 0.184
  Stroke 1.02 0.38–2.77 0.963
History of falls 1.26 0.73–2.19 0.408
Low handgrip strength 3.27 1.91–5.61 <0.001 2.31 1.12–4.74 0.023
Poor 5xSTS performance (≥12 s) 2.90 1.61–5.21 <0.001 2.27 1.15–4.47 0.018
Slow gait speed (<1.0 m/s) 3.95 2.28–6.85 <0.001 2.31 1.16–4.61 0.018
TUG deficits (>11 s) 4.09 2.32–7.23 <0.001 2.87 1.44–5.73 0.003

BMI, body mass index; 5xSTS, five-times-sit-to-stand test; TUG, timed up-and-go test; OR, odds ratio; CI, confidence interval. Model 1, no adjustment; Model 2, adjusted by the factors that showed p-values ≤ 0.2 in the univariate regression analyses: age, sex, BMI, number of comorbidities, osteoarthritis, low handgrip strength, and poor lower-limb muscle function (i.e., poor 5xSTS, slow gait speed, and TUG deficits). Bold indicates significance with p < 0.05.