Table 4.
Statistically significant results of single-factor linear regression analysis between incidence and mortality in men with socio-economic factors.
| Epidemiological Index (Age-Modified per 100,000 Population) | Socio—Economic Index | p-Value | Number of Records † |
|---|---|---|---|
| Incidence in men, Benzo (k) 2012 levels | Gross National Income (GNI) per capita, purchasing power parity (PPP) (current international $) | 0.043 | 27 |
| Mortality in men, Hg 1992 levels | Adjusted net national income per capita (constant 2005 US$) | 0.040 | 22 |
| Adjusted net national income per capita (currentUS$) | 0.010 | 24 | |
| Hospital beds (per 1000 persons) | 0.036 | 24 | |
| Life expectancy at birth, total (years) | 0.048 | 26 | |
| Labor force participation rate, male (% of male population, ages 15–64) | 0.034 | 26 | |
| Gross Domestic Product (GDP) (current US$) | 0.013 | 24 | |
| GNI per capita, PPP (current international $) | 0.040 | 22 | |
| Gross enrolment ratio, all levels combined (except pre-primary)for both sexes | 0.007 | 23 |
†: Although the total number of records for each socio-economic factor should be equal to the number of EU member states (27). There were cases where there was no data for some countries.