# Design and Implementation of Health and Risk Level Assessment for Socially Disadvantaged Patients
## 4 Performance Analysis
### Sensor Data Measurement, Analysis, and Consideration  
In this research, to determine the relationship between digital sensor data and mental health, five types of information (location, gyroscope, touch, data usage, and sleep mode) were selected as independent variables, and anxiety and depression scales were selected as dependent variables. Cronbach's alpha was calculated to verify the reliability of all variables, and all statistics were verified under the significance level of 0.05. Correlation analysis and multiple linear regression analysis were conducted to analyze the association between the independent variables and the dependent variables set in this study, and all data analysis was performed using SPSS 28.0. As a result of this research, the descriptive statistics results shown in Table 8 could be measured. The age of the study subjects ranged from a minimum of 19 years to a maximum of 92 years, and the average age of the research subjects was measured as 59.92 years. The depression scale scores of the research subjects ranged from a minimum of 0 to a maximum of 27, with an average score of 7.42. The anxiety scale measurement score for the research participants ranged from a minimum of 0 to a maximum of 21, with an average score of 6.28. The location moving distance of the study subjects ranged from a minimum of 0.002 to a maximum of 11.886, with an average of 9.016. The number of steps ranged from a minimum of 19 to a maximum of 6878, with an average of 5824.53. Data usage ranged from a minimum of 4.152 to a maximum of 473.54, and the average was 93.192. Touch ranged from a minimum of 0 to a maximum of 1103, with an average of 254.15. The sleep mode time ranged from a minimum of 3.575 to a maximum of 13.205, with an average of 9.601. As a result of comparing the averages of depression, anxiety, and measured sensor information by sex (Table 9), it was found that depression was higher in men (M = 9.60) than in women (M = 6.46). Anxiety was also found to be higher in men (M = 6.81) than in women (M = 6.04). This is interpreted as the fact that men's mental health was worse than women's among the study participants. The location data showed that the women's values (M = 9.201) were higher than the men's (M = 8.597), and the gyroscope data also showed that the women's values (M = 6028) were higher than the men's (M = 5361). This indicates higher levels of physical activity in the women than in the men. The data usage showed that males (M = 95.149) used more data than females (M = 92.330), and the touch data showed that males (M = 254) had higher values than females (M = 253), but the difference was small. This can be interpreted to mean that men use smartphones more frequently than women. The sleep mode values were higher in males (M = 9.611) than females (M = 9.597), but the difference was small. This indicates that the men had slightly better sleeping conditions than the women. Figure 12: Demonstration of device and system for SpO\({}_{2}\) measurement and monitoring. As a result of comparing the averages of depression, anxiety, and our application's inspection results according to occupation/job status (Table 10), we found that depression was higher in the unemployed (M = 9.69) than in the employed participants (M = 3.56). Anxiety was also higher in the unemployed (M = 7.96) than the employed participants (M = 3.42). This can be interpreted to mean that the mental health of the unemployed participants was worse than that of the employed participants. In terms of the location, the values for employed participants (M = 9.707) was higher than those of the unemployed participants (M = 8.61), and for the gyroscope, the values were also higher for the employed (M = 6134) than the unemployed participants (M = 5642). This is because employed individuals are more physically active due to social activities such as commuting.