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Table 3 Binary logistic regression of financial stress - tangible social support model in relation to having many psychosomatic symptoms in men and women

From: The buffering effect of tangible social support on financial stress: influence on psychological well-being and psychosomatic symptoms in a large sample of the adult general population

 

Many psychosomatic symptoms

 

Men

  

Women

  
 

N 36 346a

%

OR (95% CI)b, c

N 42 514a

%

OR (95% CI)b, d

  

***e

  

***e

 

No financial stress-high tangible social support

1590f

6.7g

1 (ref)

3957f

15.6g

1 (ref)

Medium financial stress-high tangible social support

594

13.3

1.88 (1.69-2.09)***

1879

24.8

1.62 (1.51-1.73)***

High financial stress-high tangible social support

419

25.6

4.00 (3.50-4.58)***

1223

39.7

2.95 (2.70-3.22)***

No financial stress-low tangible social support

459

12.8

1.85 (1.65-2.08 )***

814

29.1

2.00 (1.82-2.20)***

Medium financial stress-low tangible social support

237

21.3

3.24 (2.75-3.82)***

553

40.3

3.00 (2.65-3.39)***

High financial stress-low tangible social support

307

41.0

7.45 (6.28-8.85)***

541

57.0

5.49 (4.74-6.35)***

  1. The data are presented as numbers and percentages of participants having many psychosomatic symptoms within each subgroup, odds ratios (ORs), and 95% confidence intervals (CIs).
  2. ***p≤0.001.
  3. aTotal number of participants included in the analysis.
  4. bAdjusted for age, country of birth, employment status, other chronic disease, and year of survey.
  5. cNagelkerke R2 = 0.212.
  6. dNagelkerke R2 = 0.227.
  7. eχ2 test of differences between the subgroups within each sex.
  8. fNumber of participants within each subgroup who reported having many psychosomatic symptoms.
  9. gPercentage of participants within each subgroup who reported having many psychosomatic symptoms.