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Table 1 Regression models to explain the variation in percentage of the population declaring ‘not good health’ and limiting long-term illness

From: The effects of deprivation and relative deprivation on self-reported morbidity in England: an area-level ecological study

  Bivariate regression model Bivariate regression model Multivariable regression model
Not good health    
Target area deprivation Standardized slope (ß1 value) 0.655*** N/A 0.655***
Deprivation differential Standardized slope (ß2 value) N/A 0.312*** 0.312***
Adjusted R2 0.429 0.097 0.526
Limiting Long-Term Illness    
Target area deprivation Standardized slope (ß1 value) 0.548*** N/A 0.548***
Deprivation differential Standardized slope (ß2 value) N/A 0.278*** 0.278***
Adjusted R2 0.330 0.076 0.410
  1. *** Significance level p< 0.001.
  2. The predictor variables are target area deprivation and deprivation differential (derived from the Index of Multiple Deprivation 2007). The outcome variables are the log transformed percentages of the population declaring ‘not good’ health and the log transformed percentages of the population declaring LLTI (both from the 2001 UK census) for 32482 small areas across the whole of England. Two bivariate regression models regressed the target area deprivation and then the deprivation differential separately for each outcome variable. The multivariable regression model used two predictor variables together to predict each outcome variable.