## 4 Discussion  
We found MSS mainly in neck, back, and wrist in university students form a Health Faculty, previously detected as with dependence to MD. The MSS in neck was significantly associated to age, academic programs, and year of study. Additionally, the academic program was also significantly associated to MSS in back and wrist but not shoulder. Highest MSS prevalence were found in Speech Therapy, Physiotherapy, and Medicine. The MSS detected in our study are more of an acute nature than chronic; however, an important proportion indicated MSS of a chronic nature. Despite all the previous results, the correlation between dependency to MD and MSS in back and wrist was low; and very low between dependency to MD and MSS in neck. While the curriculum correlated with musculoskeletal symptoms, we expected the content of the curriculum to modulate the effects of mobile device overuse. However, physiotherapy, medicine, and phonoaudiology, programs related to body care, were found to have greater musculoskeletal symptomatology, which suggests that there is little use of the knowledge learned in each of the programs for the prevention or control of the symptomatology found, especially in the first years of training. In turn, the university wellness programs can focus actions on the musculoskeletal system, especially in the neck, back, shoulder, and wrist focused in the first years of training in the academic program. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Region** & \multicolumn{2}{c}{**Spearman’s Rho**} \\ \hline \multirow{3}{*}{Neck} & Correlation coefficient & 0.171 \\  & Sig. (bilateral) & 0.007 \\  & n & 248 \\ \hline \multirow{3}{*}{Shoulder} & Correlation coefficient & 0.142 \\  & Sig. (bilateral) & 0.025 \\  & n & 248 \\ \hline \multirow{3}{*}{Back} & Correlation coefficient & 0.274 \\  & Sig. (bilateral) & 0.000 \\  & n & 248 \\ \hline \multirow{3}{*}{Elbow} & Correlation coefficient & 0.072 \\  & Sig. (bilateral) & 0.259 \\  & n & 248 \\ \hline \multirow{3}{*}{Wrist} & Correlation coefficient & 0.200 \\  & Sig. (bilateral) & 0.002 \\ \cline{1-1}  & n & 248 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Correlation between Mobile Device Dependency and MSSs. With regards MSS in university students as dependent to MD and its association to sociodemographic features, some studies have shown similar results to ours while others differ considerably. A study conducted at the UNLV (University of Nevada-Las Vegas) detected that most of the MSS were in neck, back, and shoulder [10]. Another study from the University of Canada found that most participants reported pain of some severity in at least one region including neck, upper back, and shoulder [19]. The study by [PERSON] et al. found lower percentages of prevalence but still predominantly in neck and shoulder [20]. Additionally, we found a significant association of MSS in the neck with age, showing that younger students are more prone to develop MSS in neck; however, this result is hardly observed in other studies. In fact, our findings differ from the results by [PERSON] and [PERSON], which state that regardless of age, students are likely to develop some sort of MSS [21]. Regard sex, we observed a higher prevalence of MSS in women for each of the body regions assessed, but not statistical significance was found. Other studies like the one by [PERSON] et al., have been able to show significant statistical differences in higher frequencies of MSS in women, specifically in the upper back and shoulder regions [10]. Another study by [PERSON], et al. found that sex was a significant predictor of symptoms while using MD and women have twice higher the probability of experiencing MSS while using the devices than men [22]  
Our study shows other relevant results when comparing academic variables with MSS. However, it is not possible to contrast them due to the lack of similar published studies.