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Table 1 Sample characteristics (N = 33)

From: Origins and consequences of technology acquirement by independent-living seniors: towards an integrative model

 

t1

t2

t3

Age: mean ± SD, in years

76.1 ± 3.9a

76.6 ± 4.0

77.5 ± 3.9

Gender

 Female: n (%)

20 (60.6)

 Male: n (%)

13 (39.4)

Education

 None or primary: n (%)

9 (27.3)

 Secondary: n (%)

20 (60.6)

 Higher: n (%)

4 (12.1)

Living arrangement

 Alone: n (%)

21 (63.6)

22 (66.7)

22 (66.7)

 With a partner: n (%)

12 (36.4)

11 (33.3)

11 (33.3)

Receiving home care: n (%)

 Yes: n (%)

19 (57.6)

22 (66.7)

21 (63.6)

 No: n (%)

14 (42.4)

11 (33.3)

12 (36.4)

Subjective health

 Good, very good or excellent: n (%)

23 (69.7)

23 (69.7)

20 (60.6)

 Fair or poor: n (%)

10 (30.3)

10 (30.3)

13 (39.4)

TFI scoreb: mean ± SD

4.3 ± 2.7

3.8 ± 2.4

4.6 ± 2.6

MMSE scorec: mean ± SD

28.1 ± 1.5

28.5 ± 1.5

28.2 ± 1.5

  1. aDuring the home visits, one participant mentioned he was 68 years old, and another participant mentioned he was 69 years old. Both participants were not excluded due to ethical considerations
  2. bAs suggested by Gobbens et al. [48], a Tilburg Frailty Indicator (TFI) score of 5 was used as the cut-off point for frailty
  3. cAs suggested by Kempen, Brilman and Ormel [47], a Mini-Mental State Examination (MMSE) score of 24 was used as the cut-off point for cognitive impairment
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BMC Geriatrics

ISSN: 1471-2318

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