Results of the analysis showed that from 2012 to 2016, when adjusting for other factors in the model:
- The probability of dying by suicide is greater in the lowest income group compared to the highest income group. This holds regardless of variation in income (income uncertainty). For example, for a specific income uncertainty quintile, a person with the lowest income will have a higher probability of dying by suicide compared to a person with a higher income who belongs to the same income uncertainty quintile.
- Those with higher income uncertainty (highest income uncertainty quintile), had higher probability of suicide death relative to those with lower income uncertainty (lowest income uncertainty quintile), across all income levels.
- For those with the lowest income uncertainty (income uncertainty quintile 1), an increase in income from the lowest to the highest quintile (from income level quintile 1 to quintile 5) reduced the expected probability of suicide by 74% (from 0.009 to 0.002).
- For those with the highest income uncertainty, an increase in income from the lowest to the highest quintile (from income quintile 1 to quintile 5) reduced the expected probability of suicide by 72% (from 0.021 to 0.006).
- For those in the lowest income group (income quintile 1), an increase in income uncertainty from the lowest to the highest quintile (from income uncertainty quintile 1 to quintile 5), increased the expected probability of suicide by 126% (from 0.009 to 0.021).
- For those in the highest income group (income quintile 5), an increase in income uncertainty from the lowest to the highest quintile (from income uncertainty quintile 1 to quintile 5) increased the expected probability of suicide death by 148% (from 0.002 to 0.006).
The results of this analysis also reports sex and income difference stratified models. These multivariable models are separated by males, females, those who experienced an increase in income and those who experienced a decrease in income.
The estimates presented are odds ratios for the group of interest compared with a reference group. An odds ratio represents the estimated odds of death by suicide (the outcome) by a socioeconomic factor of interest (the exposure), compared to the odds of suicide occurring in the reference group (no exposure to factor of interest), after adjusting for all the other socioeconomic factors in the model.
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