## 3 Results
### Sociodemographic Data  
#### 3.1.1 Sociodemographic Characterization  
The sociodemographic characterization of the sample includes age, gender, marital status, living situation with children under 16 years old, educational qualifications, and professional status, which encompasses seniority in the company, hours worked per week, work schedules, and the equipment used. The sample consists of 55% (n = 77) male individuals and 45% (n = 63) female individuals, with the average age being 39 years (\(\sigma\) = 11.239) for males and 37 years (\(\sigma\) = 10.107) for females, respectively. Across the entire sample, the average age is 38 years (\(\sigma\) = 10.724), with a minimum age of 20 years and a maximum of 63 years.  
In the study sample, 44.3% (n = 62) of individuals are single, and 36.4% (n = 51) are married. These values are consistent and reinforced in the male gender, with a higher percentage of single individuals (54.5%, n = 42) and a lower percentage of married individuals (28.5%, n = 22). On the other hand, the female gender shows contrasting values, with a higher percentage of married individuals (46%, n = 29) and a lower percentage of single individuals (31.7%, n = 20). Similarly, regarding the living situation with children under 16 years old, in the overall sample, 60% (n = 84) do not have children under 16 years old living with them. However, these values are more prevalent in the male gender, with 67.5% of individuals not having children under 16 years old, while in the female gender, these values decrease and approach a balance, in which only 50.8% of the female gender do not have children under 16 years old living with them.  
Regarding educational qualifications, 43.6% (n = 61) of individuals have completed Secondary Education (10 th to 12 th grade), followed by Technical-Professional Education at 19.3% (n = 27), and then, very closely, Basic Education (5 th to 9 th grade) at 17.9% (n = 25). Table 1 summarizes the values obtained for the sociodemographic data collected for the entire sample and by gender.  
\begin{table}
\begin{tabular}{l c c c c c c} \hline \hline  & \multicolumn{2}{c}{**Total Sample**} & \multicolumn{2}{c}{
\begin{tabular}{c} **Female** \\ **Gender** \\ \end{tabular} } & \multicolumn{2}{c}{**Male Gender**} \\ \cline{2-7}  & **n** & **\%** & **n** & **\%** & **n** & **\%** \\ \hline
**Age Clusters** & & & & & & \\
18–34 & 55 & 39.3 & 27 & 42.9 & 28 & 36.4 \\
35–44 & 38 & 27.1 & 16 & 25.4 & 22 & 28.6 \\
45–54 & 35 & 25 & 17 & 27 & 18 & 23.4 \\
55–64 & 7 & 5 & 1 & 1.6 & 6 & 7.8 \\ NR & 5 & 3.6 & 2 & 3.2 & 3 & 3.9 \\ \hline
**Marital Status** & & & & & & \\ Single & 62 & 44.3 & 20 & 31.7 & 42 & 54.5 \\ Married & 51 & 36.4 & 29 & 46 & 22 & 28.6 \\ Divorced & 9 & 6.4 & 6 & 9.5 & 3 & 3.9 \\ Common Law & 17 & 12.1 & 8 & 12.7 & 9 & 11.7 \\ NR & 1 & 0.7 & 0 & 0 & 1 & 1.3 \\ \hline
**Children \textless{} 16 Years Old** & & & & & & \\ No & 84 & 60 & 32 & 50.8 & 52 & 67.5 \\ Yes & 55 & 39.3 & 30 & 47.6 & 25 & 32.5 \\ NR & 1 & 0.7 & 1 & 1.6 & 0 & 0 \\ \hline
**Educational Qualifications** & & & & & & \\ Primary Education & 2 & 1.4 & 1 & 1.6 & 1 & 1.3 \\ Basic Education & 25 & 17.9 & 8 & 12.7 & 17 & 22.1 \\ Secondary Education & 61 & 43.6 & 30 & 47.6 & 31 & 40.3 \\ Technical–Professional Education & 27 & 19.3 & 10 & 15.9 & 17 & 22.1 \\ Higher Education & 21 & 15 & 12 & 19 & 9 & 11.7 \\ Postgraduate Higher Education & 3 & 2.1 & 1 & 1.6 & 2 & 2.6 \\ NR & 1 & 0.7 & 1 & 1.6 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Sociodemographic data (n: frequency; %: percentage; NR: No Response).