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Table 1 Summary statistics of the two samples

From: Association of frailty with functional difficulty in older Ghanaians: stability between women and men in two samples with different income levels

Variable

Group

Sample 1 [Low income; n = 704]

Sample 2 [Higher income; n = 510]

n/Mean

%/SD

n/Mean

%/SD

Categorical variables

Gender

Men

368

52.27

245

48.04

Women

332

47.16

265

51.96

Missing

4

0.57

0

0

Chronic disease status

None

187

26.56

330

64.71

One or more

517

73.44

180

35.29

Self-reported health

Poor

191

27.13

135

26.47

Good

513

72.87

375

73.53

Marital status

Not married

235

33.38

370

72.55

Married

376

53.41

140

27.45

Missing

93

13.21

0

0

Total

704

100

510

100

Continuous/discrete variables

Income [₵]

–-

922.77a

510.46

2129.41a

1583.96

Education [yrs]

–-

14.23

2.09

18.21

4.11

Age [yrs]

–-

62.91

9.29

57.87

8.75

Frailty

–-

6.23b

3.76

4.78b

2.77

Functional difficulty

–-

30.58

11.36

21.95

10.03

  1. n – frequency; % – per cent; SD standard deviation; n and % apply to only categorical variables whereas the mean and SD apply to only continuous/discrete variables
  2. aindependent samples t-test showed a significant difference in income between samples 1 and 2 [t = -15.37, p < 0.001, two-tailed] based on “equal variances not assumed”
  3. bindependent samples t-test showed a significant difference in income between samples 1 and 2 [t = 7.75, p < 0.001, two-tailed] based on “equal variances not assumed”