Skip to main content

Table 1 List of variables used for data creation and analysis

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

Areas

Item numbers

 

Variable

numbers

Basic information

8

Gender/Age, occupation, education, certification for long-term care, certification for specific elderly, Body measurements (height/weight, BMI)

7

living environment

2

cohabiting family, residence

8

health condition

5

Cognitive, emotional, vision, hearing, use of walking aids

25

Medical history: Comorbidities

3

Medical history, comorbidities, regular medications

42

Medical history: Locomotive disease

4

Chief complaint, musculoskeletal disease, details of treatment, fracture history

65

Physical findings for back/lower limbs

4

Pain by site (back pain, buttock pain, thigh pain, knee pain) Posture, knee, neurological findings, functional classification, ROM, MMT

19

laboratory Examination

5

Vitamin D, Hyaluronic Acid, Bone Mineral Density

3

XP measurement

2

X-P (knee joint, lumbar spine)

159

motor function tests

8

Grip strength, long sitting forward bending distance, 50 step stepping time, (eye open) one leg standing time, leg extension force

39

GLFS-25

1

25 questions

25

  1. Three hundred and ninety-two variables are extracted from collected data. Variables used for GBTA and Multinomial logistic regression analysis are shown in bold
  2. BMI Body mass index, ROM Range of motion, MMT Muscle manual test, GBTA Group-based trajectory analysis