# Design and Implementation of Health and Risk Level Assessment for Socially Disadvantaged Patients
## 4 Performance Analysis
### Sensor Data Measurement, Analysis, and Consideration
The data usage was higher among the unemployed participants (M = 105.66) than for those with jobs (M = 71.99), and touch was also higher for unemployed participants (M = 302) than for those with jobs (M = 172). This is thought to be due to the long time spent using smartphones in the case of unemployed people. The sleep mode was higher for the unemployed (M = 9.114) than for the employed participants (M = 10.429). \begin{table}
\begin{tabular}{l l l l l} \hline \hline  & **Min** & **Max** & **Mean** & **Standard Deviation** \\ \hline age & 19 & 92 & 59.92 & 15.455 \\ \hline depression & 0 & 27 & 7.42 & 7.334 \\ \hline anxiety & 0 & 21 & 6.28 & 6.032 \\ \hline location & 0.002 & 11.886 & 9.016 & 2.748 \\ \hline gyroscope & 19 & 6878 & 5824.5 & 1241 \\ \hline data usage & 4.152 & 473.54 & 93.192 & 86.82 \\ \hline touch & 0 & 1103 & 254.15 & 207.52 \\ \hline sleep mode & 3.575 & 13.205 & 9.601 & 2.087 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: General characteristics of research subjects. \begin{table}
\begin{tabular}{l l l l l} \hline \hline  & **Sex** & **Size** & **Mean** & **Standard Deviation** \\ \hline \multirow{3}{*}{depression} & man & 85 & 9.6 & 7.024 \\ \cline{2-5}  & woman & 193 & 6.46 & 7.279 \\ \hline \multirow{3}{*}{anxiety} & man & 85 & 6.81 & 5.45 \\ \cline{2-5}  & woman & 193 & 6.04 & 6.271 \\ \hline \multirow{3}{*}{location} & man & 85 & 8.597 & 2.769 \\ \cline{2-5}  & woman & 193 & 9.201 & 2.725 \\ \hline \multirow{3}{*}{gyroscope} & man & 85 & 5361 & 1499.82 \\ \cline{2-5}  & woman & 193 & 6028 & 1049.5 \\ \hline \multirow{3}{*}{data usage} & man & 85 & 95.149 & 89.816 \\ \cline{2-5}  & woman & 193 & 92.33 & 85.703 \\ \hline \multirow{3}{*}{touch} & man & 85 & 254 & 206.843 \\ \cline{2-5}  & woman & 193 & 253 & 208.356 \\ \hline \multirow{3}{*}{sleep mode} & man & 85 & 9.611 & 2.24 \\ \cline{2-5}  & woman & 193 & 9.597 & 2.022 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Depression/anxiety level and digital sensor data trend according to sex. As a result of comparing the averages of depression, anxiety, and digital biomarker information according to whether the participant was a recipient of the lowest income bracket or not (Table 11), depression was higher in these recipients (M = 9.64) than in those from other incomes (M = 4.37), and anxiety was also higher in these recipients (M = 4.37) than those in receipt of other incomes (M = 4.01). This can be interpreted as the fact that recipients of lower incomes have poorer mental health than the average person. For the location, the values for participants with average income (M = 9.454) were higher than for recipients of lower income (M = 8.698), and for the gyroscope, average income recipients (M = 6056) showed higher values than those on lower incomes (M = 5655). This can be interpreted to mean that the recipients of lower incomes engage in less physical activity than the average person. For data usage, recipients of lower incomes (M = 108.291) were higher than those on higher incomes (M = 72.415), and for the touch, recipients of lower incomes (M = 298) showed higher values than those on other incomes (M = 193). This can be interpreted to mean that there is a higher frequency of smartphone usage among those in lower income brackets than others. The sleep mode was higher in participants with a higher income (M = 10.179) than in those who were more socially disadvantaged (M = 9.18). Prior to identifying the research question of this study, we analyzed whether the general characteristics of the research subjects were related to their mental health (Table 12). The result of the correlation analysis between general characteristics and mental health showed that age and income had a statistically significant relationship. For age, the relationship between depression and positive (+) was statistically significant (r = 0.168, \(p\) < 0.01), and the relationship between anxiety and positive (+) was statistically significant (r = 0.146, \(p\) < 0.05). This can be interpreted to mean that mental health deteriorates with age.