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Table 2 Characteristics of receiving care and gender difference among dependent older adults in KLoSA (N = 946)

From: Care inequality: care received according to gender, marital status, and socioeconomic status among Korean older adults with disability

 

Total N(%) or Mean (SD)

Men

Women

P-value for gender difference

(Estimated % or LS mean)

Primary main caregiver, %

 None (care deficit)

320 (33.8)

41.7

30.7

0.007**

 Spouse

297 (31.4)

31.9

32.6

0.852

 Children

140 (14.8)

10.3

19.0

0.004**

 Other relatives, friends

91 (09.6)

8.7

8.7

1.000

 Paid formal

98 (10.4)

7.4

9.0

0.469

Caregivers combinations (Main+additional), %

 None (care deficit)

320 (33.8)

41.7

30.7

0.007**

 Spouse only

234 (24.7)

26.2

24.4

0.617

 Spouse+unpaid informal

52 (05.5)

5.6

6.2

0.774

 Spouse+paid formal

11 (01.2)

0.2

2.1

0.047*

 Children only

84 (08.9)

6.3

11.9

0.032*

 Children+unpaid informal

47 (05.0)

3.0

6.6

0.070

 Children+paid formal

9 (01.0)

0.9

0.5

0.645

 Other relatives, friends only

54 (05.7)

4.4

5.4

0.590

 Other relatives, friends+unpaid informal

33 (03.5)

3.6

2.9

0.668

 Other relatives, friends+paid formal

4 (00.4)

0.7

0.3

0.582

 Paid formal caregiver only

54 (05.7)

5.5

3.5

0.290

 Paid formal+unpaid informal

44 (04.7)

1.9

5.5

0.030*

Number of caregivers (n = 626), mean

1.40 (0.68)

1.317

1.485

0.029*

Caregiving days per month (n = 626), mean

24.51 (15.63)

25.59

21.25

0.006**

Caregiving hours per day (n = 626), mean

5.04 (4.97)

4.43

4.61

0.673

Payment to caregivers (n = 626), %

66 (7.1)

5.6

5.5

0.964

Cost for caregivinga (n = 66), mean

48.48 (53.44)

35.13

38.57

0.887

Cost of own paida (n = 66), mean

24.80 (40.72)

24.34

14.13

0.446

Cost of family paida (n = 66), mean

39.01 (06.92)

10.80

24.43

0.517

  1. *P < 0.01, **P < 0.001 a unit = 10,000KW; Estimated %, LS means and P-value were calculated by generalized linear model and ANCOVA for gender difference adjusting for age, marital status, living arrangement, region, household income, educational level, self-rated health, cognitive function, ADL/IADL deficits, number of chronic diseases, health insurance type, and long term care service usage