## 3 Results and Discussion
### Choice of Place to Live  
The place of residence and its characteristics are important indicators for understanding the state of the population's health, as well as their perception [35; 36; 37; 38]. Thus, we selected some variables that consider this dimension for the analysis, e.g., how long have they been living in the village, how long have they been living in their current dwelling and the number of people living in it. It is important to remember that in the literature on the subject, the effects are directly proportional to the time factor of exposure [39]. Concerning the group of respondents from Serzedelo, 58.0% have been living in this village since they were born and 42.0% had lived in another village before Serzedelo, usually in another village belonging to the municipality of Guimaraes. In the case of Abacao (Sao Tome), the percentage was similar, that is, 54.0% of respondents have \"lived there since they were born\" (Table 1; Table 2). These are high percentages that indicate that respondents had a long period of exposure to factors that may have influenced their health. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Analyzed Areas** & **Yes (\%)** & **No (\%)** \\ \hline Serzedelo & 58.0 & 42.0 \\ Abacão (São Tome) & 54.0 & 46.0 \\ Total & 100.0 & 100.0 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Interviewees that have always lived in villages of the Serzedelo and Abacão (São Tome). \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline
**Analyzed Areas** & \begin{tabular}{c} **Less than** \\ **1 Year** \\ \end{tabular} & \begin{tabular}{c} **From 1 to** \\ **2 Years** \\ \end{tabular} & \begin{tabular}{c} **From 3 to** \\ **10 Years** \\ \end{tabular} & \begin{tabular}{c} **From 11 to** \\ **20 Years** \\ \end{tabular} & \begin{tabular}{c} **From 30 to** \\ **40 Years** \\ \end{tabular} & \begin{tabular}{c} **More than** \\ **40 Years** \\ \end{tabular} & \begin{tabular}{c} **Since** \\ **He/She** \\ **Wa Born** \\ \end{tabular} & \
\begin{tabular}{c} **Did Not** \\ **Answer** \\ \end{tabular} &
\begin{tabular}{c} **Total** \\ **Total** \\ \end{tabular} \\ \hline Serzedelo & 2.0 & 3.0 & 8.0 & 14.0 & 16.0 & 10.0 & 41.0 & 6.0 & 100.0 \\ Abacão (São Tome) & 1.0 & 1.0 & 9.0 & 19.0 & 15.0 & 4.0 & 50.0 & 1.0 & 100.0 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Percentage of time the interviewees have lived in the same household in Serzedelo and Abacão (São Tome). It is important to mention the very low percentage of respondents living in the home reported in the survey up to 2 years ago. (5.0% in the case of Serzedelo and 2.0% in the case of Abacao (Sao Tome)). Whether in one village or the other, most of the population lived between 11 and 40 years in the reported house (40.0% in the case of Serzedelo and 38.0% in the case of Abacao (Sao Tome)--Table 2). Regarding the composition of the household (which indicates how many people may be at risk due to exposure to low frequency noise), in both Serzedelo and Abacao (Sao Tome), the most representative class was \"three to four people\" (40.0% in Serzedelo versus 54.0% in Abacao (Sao Tome)--Table 3). This was followed by a greater representation of families with two people in the two villages and the families of only one person which had practically the same percentage (9.0% in Serzedelo versus 8.0% in the other village). This scenario follows the national trend, which is close to the standard of countries in the European Union. It should be recalled that couples with children still constitute the main household composition and that other types of family are on the rise, such as single-parent families and couples without children [40; 41; 42]. Impacts due to Noise Pollution  
To assess the impact of noise pollution on health, an analysis was made of some of the most important variables in the survey. The following impacts were analyzed: sleep quality, occupational aspects and morbidity and, finally, noise pollution.