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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