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Table 1 Characteristics of the sample that include gender, age, number of chronic diseases, socio-economic factors and depression

From: The influence of multi-morbidity and self-reported socio-economic standing on the prevalence of depression in an elderly Hong Kong population

 

Prevalence/Mean(SD)

Variables

Total (n = 3394)

Male (n = 1901)

Female (n = 1493)

p-value*

Male

1901 (56.0%)

   

Female

1493 (44.0%)

   

Age

   

0.1061

   65–69

1211 (35.7%)

649 (34.1%)

562 (37.6%)

 

   70–74

1204 (35.5%)

689 (36.2%)

515 (34.5%)

 

   75 or above

979 (28.9%)

563 (29.6%)

416 (27.9%)

 

Geriatric Depression Scale

2.9 (2.8)

2.9 (2.8)

2.8 (2.7)

0.2322

Depression (GDS score ≥ 8)

280 (8.3%)

154 (8.1%)

126 (8.4%)

0.7221

No. of chronic diseases

   

<.0001

   0

355 (10.5%)

242 (12.7%)

113 (7.6%)

 

   1

733 (21.6%)

411 (21.6%)

322 (21.6%)

 

   2

867 (25.6%)

491 (25.8%)

376 (25.2%)

 

   3 or more

1439 (42.4%)

757 (39.8%)

682 (45.7%)

 

Current marital status

   

<.0001

   Married or living in a married-like relationship

2541 (74.9%)

1680 (88.4%)

861 (57.7%)

 

   Widowed

705 (20.8%)

144 (7.6%)

561 (37.6%)

 

   Separated

44 (1.3%)

21 (1.1%)

23 (1.5%)

 

   Divorced

33 (1.0%)

15 (0.8%)

18 (1.2%)

 

   Single, never married

71 (2.1%)

41 (2.2%)

30 (2.0%)

 

Education level

   

<.0001

   No education

494 (14.6%)

82 (4.3%)

412 (27.6%)

 

   Primary or below

1791 (52.8%)

1040 (54.7%)

751 (50.3%)

 

   Secondary or above

1109 (32.7%)

779 (41.0%)

330 (22.1%)

 

Max income a

   

<.0001

   0–1999

596 (23.3%)

145 (9.1%)

451 (46.6%)

 

   2000–5999

579 (22.6%)

292 (18.4%)

287 (29.7%)

 

   6000–11999

688 (26.9%)

541 (34.1%)

147 (15.2%)

 

   12000 or above

694 (27.1%)

611 (38.5%)

83 (8.6%)

 

SES ladder – Hong Kong

4.5 (1.9)

4.5 (1.8)

4.7 (1.9)

0.0016

SES ladder – community

6.8 (2.2)

6.3 (2.2)

7.3 (2.1)

<.0001

  1. *p-value of t test for continuous variables or chi square for categorical variables where appropriate, comparing male with female
  2. aSample size for male was 1589 (missing value due to 36 refused and 276 don't know), sample size for female was 968 (missing value due to 138 housewife, 6 refused and 381 don't know)