Assessment of correlation between heterogeneous risk factors and morbidity among working population in Russian regions with different background of health formation

The research focuses on classifying Russian regions as per their sanitary-hygienic and social-economic welfare, as well as on assessing (for certain nosologies) correlations between heterogeneous risk factors and morbidity with temporary disability among working population. The RF regions were classified (with k-average cluster analysis) as per their sanitary-hygienic and social-economic welfare in order to spot out territories with similar "background" for formation of working population health.We used data provided by the Federal Statistic Service (as per the RF regions) collected in 2016 as our empiric base. As per cluster analysis results, we assigned the RF regions into four specific categories, namely "ill-being", "moderately ill-being", "moderately well-being", and "well-being" (the obtained data are visualized on the map of the country).The performed correlation-regression analysis allowed us to obtain more than twenty authentic models that described correlations between various factors and morbidity with temporary disability among working population...