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. 2022 Aug 11;22:658. doi: 10.1186/s12877-022-03282-2

Table 2.

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

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)

Values were expressed as mean (SD) and number (weighted %)

aNumber and percentage

bDefined as weekly alcohol consumption of ≥ 11 units for men and ≥ 8 units for women

cVariable was positively skewed; median and inter-quartile range presente

** indicates p ≤ 0.001

*** indicates p ≤ 0.0001