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Table 2 Multivariable analysis of baseline factors associated with GLFS-25 trajectory

From: Statistical model of trajectories of reduced mobility in older people with locomotive disorders: a prospective cohort study with group-based trajectory model

 

Moderate group with no change vs. Mild group

Moderate group with deterioration and recovery vs. Mild group

Severe group vs. Mild group

Variables

OR

(95% CI)

OR

(95% CI)

OR

(95% CI)

Age

1.043

(0.957, 1.137)

1.148

(1.042, 1.265)

1.080

(1.005, 1.161)

Gender:

 F

1

(reference)

1

(reference)

1

(reference)

 M

1.535

(0.331, 7.116)

1.728

(0.298, 10.014)

2.219

(0.622, 7.915)

Osteoporosis:

 No

1

(reference)

1

(reference)

1

(reference)

 Yes

3.920

(1.250, 12.300)

0.463

(0.080, 2.685)

2.848

(0.986, 8.223)

Number of pain locations

1.429

(1.024, 1.992)

1.427

(0.999, 2.038)

1.820

(1.363, 2.430)

Number of weak muscles

0.831

(0.631, 1.095)

0.666

(0.480, 0.924)

1.060

(0.836, 1.345)

BMI

0.980

(0.836, 1.149)

1.164

(0.989, 1.370)

1.158

(1.016, 1.321)

One leg standing time

0.975

(0.951, 1.000)

0.966

(0.935, 0.997)

0.961

(0.937, 0.985)

Grip strength

0.945

(0.852, 1.048)

0.858

(0.756, 0.973)

0.934

(0.854, 1.023)

  1. The GLFS-25 trajectory was categorized into 4groups, and the factors at the first time (reference group 1) from the multinomial logistic analysis are shown
  2. Multinomial logistic regression analysis was four groups of GLFS-25 as dependent variables; several baseline (the first time) data (age, gender, presence or absence of osteoporosis, number of painful areas, number of weak muscles, BMI, one leg standing with eyes open, grip strength) as independent variables
  3. Number of pain sites (0 ~ 7): low back pain, bilateral gluteal pain, bilateral posterior thigh pain, bilateral knee pain. Number of muscles with weakness (0 ~ 8): bilateral iliopsoas, bilateral quadriceps femoris, bilateral tibialis anterior, bilateral triceps surae
  4. Bold indicates a significant odds ratio which 95% CI does not distribute around 1
  5. OR Odds ratio
  6. CI Confidence interval
  7. BMI Body mass index