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Table 2 Discriminative capacity and univariate analyses for EQ-5D-5L and SF-6Dv2 utility values within different groups (N = 19,177)

From: Comparison of the measurement properties of SF-6Dv2 and EQ-5D-5L in a Chinese population health survey

 

EQ-5D-5L

SF-6D-v2

Mean (SD)

p Value

Effect sizea (95% CI)

Mean (SD)

p Value

Effect sizea (95% CI)

Gender

 

 < 0.001

0.061 (0.032, 0.089)

 

 < 0.001

0.126 (0.098, 0.154)

 Male

0.944 (0.167)

  

0.884 (0.179)

  

 Female

0.934 (0.169)

  

0.860 (0.188)

  

Age group (years)

 

 < 0.001

0.719 (0.659, 0.780)

 

 < 0.001

1.151 (1.088, 1.214)

 18–29

0.994 (0.067)

  

0.977 (0.074)

  

 30–39

0.993 (0.050)

  

0.964 (0.081)

  

 40–49

0.984 (0.078)

  

0.939 (0.115)

  

 50–59

0.959 (0.129)

  

0.888 (0.159)

  

 60–69

0.934 (0.161)

  

0.846 (0.179)

  

 ≥ 70

0.834 (0.267)

  

0.741 (0.245)

  

BMIb group

 

 < 0.001

0.258 (0.171, 0.344)

 

 < 0.001

0.258 (0.171, 0.344)

 < 18.5 (thin)

0.902 (0.249)

  

0.835 (0.252)

  

 18.5–24 (normal)

0.945 (0.160)

  

0.883 (0.179)

  

 24–28 (overweight)

0.942 (0.158)

  

0.872 (0.176)

  

 ≥ 28 (obese)

0.920 (0.192)

  

0.844 (0.202)

  

Marital status

 

 < 0.001

0.723 (0.649, 0.798)

 

 < 0.001

1.087 (1.010, 1.164)

 Unmarried

0.975 (0.119)

  

0.950 (0.132)

  

 Married

0.943 (0.160)

  

0.873 (0.178)

  

 Widowed

0.835 (0.264)

  

0.745 (0.246)

  

 Divorced

0.959 (0.138)

  

0.894 (0.176)

  

Education

 

 < 0.001

0.515 (0.470, 0.560)

 

 < 0.001

0.753 (0.707, 0.799)

 Primary and below

0.880 (0.233)

  

0.787 (0.239)

  

 Junior high school

0.948 (0.150)

  

0.882 (0.164)

  

 Senior high school

0.954 (0.140)

  

0.890 (0.158)

  

 College or high

0.977 (0.103)

  

0.935 (0.127)

  

Employment status

 

 < 0.001

0.429 (0.330, 0.528)

 

 < 0.001

0.694 (0.595, 0.793)

 Employed

0.987 (0.069)

  

0.943 (0.105)

  

 Retired

0.918 (0.184)

  

0.833 (0.184)

  

 Student

0.988 (0.075)

  

0.971 (0.099)

  

 Unemployed

0.897 (0.220)

  

0.816 (0.230)

  

Health examination

 

 < 0.001

0.075 (0.046, 0.104)

 

 < 0.001

0.236 (0.207, 0.265)

 Yes

0.934 (0.166)

  

0.856 (0.184)

  

 No

0.947 (0.171)

  

0.899 (0.181)

  

Hypertension

 

 < 0.001

0.420 (0.390, 0.450)

 

 < 0.001

0.600 (0.570, 0.630)

 Yes

0.894 (0.216)

  

0.803 (0.216)

  

 No

0.963 (0.128)

  

0.909 (0.151)

  

Diabetes

 

 < 0.001

0.375 (0.333, 0.417)

 

 < 0.001

0.502 (0.460, 0.544)

 Yes

0.885 (0.224)

  

0.793 (0.220)

  

 No

0.947 (0.156)

  

0.884 (0.175)

  

Other chronic diseases

 

 < 0.001

0.830 (0.768, 0.892)

 

 < 0.001

1.047 (0.984, 1.109)

 Yes

0.810 (0.289)

  

0.695 (0.292)

  

 No

0.947 (0.154)

  

0.882 (0.170)

  

Number of illnesses in 2 weeks

 

 < 0.001

0.663 (0.544, 0.782)

 

 < 0.001

0.932 (0.813, 1.051)

 0

0.944 (0.160)

  

0.882 (0.174)

  

 1

0.891 (0.217)

  

0.779 (0.232)

  

 2 or more

0.837 (0.284)

  

0.717 (0.299)

  

Hospitalizations in 12 months

 

 < 0.001

0.851 (0.777, 0.926)

 

 < 0.001

0.967 (0.893, 1.042)

 Yes

0.803 (0.304)

  

0.703 (0.288)

  

 No

0.944 (0.158)

  

0.878 (0.176)

  

EQ VAS group

 

 < 0.001

2.256 (2.197, 2.315)

 

 < 0.001

2.675 (2.613, 2.737)

 ≥ 90 (excellent)

0.989 (0.055)

  

0.946 (0.090)

  

 80–89 (good)

0.953 (0.108)

  

0.869 (0.136)

  

 65–79 (fair)

0.884 (0.184)

  

0.771 (0.177)

  

 < 65 (bad)

0.665 (0.358)

  

0.561 (0.312)

  
  1. T-tests were performed to identify statistically significant effects of dichotomous variables on utility values, while one-way analyses of variance were performed on polychromous variables
  2. aThe effect size was calculated as the difference between the mean utility of two sub-groups divided by the pooled standard deviation
  3. bBMI: Body Mass Index, equals weight(kg) divided by height(m) squared. BMI groups were defined according to the guideline published by the Cooperative Meta-analysis Group of China Obesity Task Force in 2002 [66]
  4. 95% CI: 95% confidence interval; SD: standard deviation
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Health and Quality of Life Outcomes

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