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Table 2 Final block-wise linear regression model considering WHODAS score as dependent variable

From: Association of experienced and evaluative well-being with health in nine countries with different income levels: a cross-sectional study

Variables

Coef. (95% CI)

p-value

β

Intercept

18.54 (16.49,20.59)

<0.001

First block

R 2 = 0.349

 Sex (ref. Female)

−1.87 (−2.32,−1.42)

<0.001

−0.06

 Age

0.34 (0.32,0.36)

<0.001

0.34

 Married or in partnership (ref. Not married or in partnership)

−2.93 (−3.57,−2.29)

<0.001

−0.08

 Education attainment (ref. Lower than secondary school)

−1.53 (−2.08,−0.98)

<0.001

−0.05

Residential setting (ref. Rural)

−0.88 (−1.40,−0.36)

0.002

−0.03

Household income (ref. 1st or 2nd quintile)

0.10 (−0.41,0.62)

0.70

0.01

Country (ref. China)

 Finland

4.67 (3.93,5.41)

<0.001

0.02

 Ghana

6.85 (6.04,7.67)

<0.001

0.05

 India

11.86 (11.32,12.40)

<0.001

0.37

 Mexico

4.38 (2.97,5.79)

<0.001

0.01

 Poland

6.77 (6.04,7.49)

<0.001

0.08

 Russia

5.21 (4.36,6.06)

<0.001

0.13

 South Africa

5.03 (3.70,6.35)

<0.001

0.06

 Spain

3.55 (2.87,4.24)

<0.001

0.05

Second block, ΔR 2

R 2 = 0.385; ΔR 2 = 0.036

 Positive affect

−0.02 (−0.03,−0.01)

0.007

−0.02

 Negative affect

0.12 (0.10,0.15)

<0.001

0.10

Third block, ΔR 2

R 2 = 0.479; ΔR 2 = 0.094

 Evaluative well-being

−0.37 (−0.39,−0.35)

<0.001

−0.34

  1. ΔR 2 = Change in R 2 regarding the previous model. Dummy variables for each country were included in order to control its potential confounder effect
  2. General analysis conducted over the overall sample. Weighted data