Social Inequalities in Chronic Diseases (ER 1243)

** Incidence and prevalence rates of chronic diseases by different sociodemographic variables (sex, age, region, tenth of standard of living, socio-professional group, diploma).**

These statistics were produced for the publication “Chronic diseases more often affect modest people and further reduce their life expectancy” (Studies and Results N°1243) where methodological choices are explained. R programs are available at this address.

The various breakdowns can be found in the varGroupage column and the corresponding values in the valGroupage column:

• sex (SEXE)

• age class of 10 years (classAge10)

• region (FISC_REG_S)

• tenth standard of living (FISC_NIVVIEM_E2015_S_moy_10)

• socio-occupational group (EAR_GS_S)

• diploma (EAR_DIPLR_S)

These breakdowns are also proposed by region and sex (column varPartition). For example, the rates per tenth of living standards for the Grand East region (official geographical code 44) with the filter ‘varPartition == “FISC_REG_S” & valPartition == “44” & varGroupage == “FISC_NIVVIEM_E2015_S_moy_10”. To keep only prevalence, add the filter ‘type == “prevalence”’ and for the tenth most modest ‘valGroupage == “1”’.

The data contain weighted numbers (weight1 and weightTot), unstandardised rates (txNonStand), standardised rates using the direct method (txStandDir) and indirect (txStandIndir) [explainations on standardisation] as well as ** confidence intervals at 95 % of all these rates (columns sufficient by BB for low terminal and BH for high terminals). Standardisations are made on the age group and sex and reference population is that obtained without grouping. When a partition is defined (region or gender), the reference population is that of the partition value (e.g. the population of the Grand East region, or the population of women).

The diseases in question (column varTauxLib) are those of CNAM pathology mapping. See the publication for more details. Categories (e.g. cardioneurovascular diseases) as well as detail (e.g. “acute coronary syndrome”) are provided, with the exception of types of cancer that could not be reconstructed with sufficient quality.

To understand the contents of the columns, scroll the “Data Template” below or hover over column names in the “Table” tab. For the terms of valGroupage or valPartition, see the attached file below libelles_er1243.xlsx.

An example of an R program using this data is offered in the attached file below ex_analysis_chronic diseases.R.