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Table 3 Multivariable model results showing the change in EQ-5D score associated with each explanatory variable

From: Population health status of South Asian and African-Caribbean communities in the United Kingdom

Effect Estimate Lower 95% CI Upper 95% CI P Value
Intercept 0.267 0.097 0.436 0.004
Age -0.003 -0.003 -0.002 < .0001
Female -0.021 -0.030 -0.012 < .0001
BMI -0.002 -0.003 -0.001 < .0001
No medical history of:     
Angina 0.039 0.018 0.059 0.0002
Arrythmia 0.075 0.042 0.107 < .0001
Arthritis 0.091 0.076 0.107 < .0001
Asthma 0.049 0.032 0.067 < .0001
Cancer 0.046 0.017 0.074 0.0016
COPD 0.060 0.019 0.101 0.004
Depression 0.166 0.146 0.187 < .0001
Diabetes 0.029 0.015 0.044 0.0001
Heart Failure 0.110 0.072 0.147 < .0001
Hypertension 0.039 0.021 0.056 < .0001
Peripheral Artery Disease 0.094 0.046 0.142 0.0001
Stroke or TIA 0.135 0.112 0.158 < .0001
Number of medical conditions* 0.072 0.043 0.101 < .0001
Exercise #     < .0001
Often 0.009 -0.009 0.026 0.324
Sometimes 0    
Rarely/Never -0.031 -0.044 -0.018 < .0001
Place of Birth ~:     0.0093
Africa 0.004 -0.024 0.032 0.77
Bangladesh 0.005 -0.021 0.031 0.69
Europe -0.011 -0.038 0.016 0.43
India 0.001 -0.022 0.025 0.90
Jamaica 0.012 -0.010 0.034 0.29
Other 0.048 -0.081 0.177 0.47
Other Asia 0.055 -0.022 0.131 0.16
Pakistan -0.016 -0.039 0.008 0.19
West Indies 0    
  1. *Loge (number of conditions +1) #p value for overall effect from F test < .0001; ~p value for overall effect = 0.0093