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Table 2 Gender distribution of the risk factors for falls among the participants (N = 500)

From: Evaluating the discriminatory power of the velocity field diagram and timed-up-and-go test in determining the fall status of community-dwelling older adults: a cross-sectional observational study

Characteristics

Males

Females

Mean difference

Z

P-value

Continuous variables X(SD)

Fasting blood sugar(mg/dL)

Fallers & Non-fallers

102.0 (0.5)

98.4 (0.5)

3.6

 

 < 0.001**

Categorical variables,N (weighted %)

Current smokers/tobacco usersa

Fallers

110

30

 

7.67

 < .00001****

Non-fallers

30

0

   

Total n(/%)

140 (50.0)

30(10.71)

   

Moderate or higher weekly alcohol intakeb, c

Fallers

120

40

 

7.97

 < .00001****

Non-fallers

20

10

   

  Total n(/%)

140 (50.0)

50 (17.86)

   

Number on anti-anxiety Drugs Medicationc

Fallers

90

30

 

6.28

 < .00001****

Non-fallers

40

20

   

  Total n(/%)

130 (46.43)

50 (17.86)

   

Diabetesa

Fallers

60

30

 

3.49

.00048***

  Non-fallers

30

0

   

  Total n(/%)

90 (32.14

30 (10.71

   

Dizzinessa

Fallers

90

70

 

1.92

.055

  Non-fallers

20

10

   

  Total n(/%)

110 (39.29)

80 (28.57)

   

Vestibular diseasea

Fallers

50

20

 

3.87

.0001***

  Non-fallers

0

0

   

  Total n(/%)

50 (17.86

20 (7.14)

   

Arthritisa

Fallers

60

80

 

-1.99

.047*

  Non-fallers

20

40

   

  Total n(/%)

80 (28.57)

120 (42.86)

   
  1. Values were expressed as mean (SD) and number (weighted %)
  2. aNumber and percentage
  3. bDefined as weekly alcohol consumption of ≥ 11 units for men and ≥ 8 units for women
  4. cVariable was positively skewed; median and inter-quartile range presente
  5. ** indicates p ≤ 0.001
  6. *** indicates p ≤ 0.0001