**4. Conclusions**

The adjusted model with the lowest number of explanatory variables was the intellectual one with 5, while the one that needed the highest number was disability with 13 variables.

In this work, using the ordinal stereotype ordinal logistic model, it was possible to improve the quality of the fit when compared to the fit of the binary logistic model proposed in Oliveira [1]. When using the ordinal response, the disability risk was incorporated for different severity degrees and disabilities number.

The different deficiencies are not homogeneous, as for different predictor variables.

The incidence risks of being a disability person and being a visual disability person are probably greater in situations such as residing in the northeast region, female gender, aged over 80 years, Yellow race, incomplete elementary education, working in production for their own consumption, and high number of children.

The lower incidence risks are observed in situations such as residing in the southern region, male gender, aged 15 years or less, Indigenous race, schooling between complete high school and incomplete higher education, and worker with a formal contract and without children.

Next, for **Figures 1**–**8**, we proceed to establish possible justifications and suggestions for work or research that may or may not accept the considered hypotheses.

• **Figure 1**. These results may be occurring due to the low effective investment in terms of health and infrastructure, smaller in the northeast and north regions, and larger in regions like the southeast and south.

To evaluate this hypothesis, an alternative is to carry out a survey of the effective volume spent on health, accessibility, and infrastructure that favor disabled people between the different regions, counting the number of people who were effectively benefited and make a comparative assessment between the different regions;

• **Figure 2**: These are most likely results that reflect women's greater exposure to domestic accidents and the double shift of modern women who work outside the home and take care of the home.

To better assess this point, the proposal can be a comparative study by sampling between the times of work at home and outside the home between men and women;

• **Figure 3**: These results show that with the aging of the population over the years, with greater life expectancy and more subject to diseases of advanced age and a greater incidence of becoming disabled people.

In this case, it is possible to suggest studies that simultaneously prove the increase in life expectancy of the population and the emergence of diseases that occur at more advanced ages. This point can be easily confirmed by the data from the 2010 IBGE Census Sample;

• **Figure 4**: These results show cultural and dietary conditions of Eastern and Indigenous peoples.

For a better understanding of this result, we suggest a research study on the life habits of Yellow and Indigenous people races, considering their possibilities of becoming disabled people;

• **Figure 5**: It is believed that a low education can mean less knowledge of information, low purchasing power, and greater dependence on government aid.

In order to prove it, research can be carried out that can establish relationships between level of education and income;

• **Figure 6**: Most likely, the different types of professions reflect the education obtained by different workers, since being military or statutory depends on passing a public tender that requires better preparation and study, while I work for my own consumption or without pay, in general, it is made up of people who work in the countryside, are unemployed and have lower purchasing power.

In order to better evaluate this possibility, the proposal is to carry out research that can establish the average remuneration for different professions by disability, sex, education, and other demographic variables;

• **Figure 7**: The higher incidence of risk can be justified as it tends to be higher when the population's purchasing power or income is lower.

In this case, we suggest a study in which a survey is carried out on disabled people and without disabilities and then, visual disabled people and without visual disability, and that we make a comparison between different income levels; and finally;

• **Figure 8**: This result may reflect situations such as a greater number of children can mean an increase in the number of accidents and less attention paid to each child by the parents in social and economic terms.

In this case, to show this result, it suggests the establishment of a survey that can compare life quality among families with different numbers of children and evaluate their respective risk.

For **Figures 1**–**8**, the results were similar for the amount of disabilities and visual disability.

The conclusions of this work verify, in addition, the importance of other studies, researches, and analyses, because, when talking about risk, there are several methods to assess this risk, whether using regression coefficients, whether using regression analysis, factor scores, weighting of the disability risk considering the weighting of the risk for each of the different explanatory variables. For example, disability risk is known to increase as age increases, so does the number of children, and so on. Among various alternatives for future work, we can mention the following ones:


the Human Development Index (HDI), although this is a more general index, still does not take into account the issue of disabled people.

