Table 3. Linear regression analysis in predicting the motivators of preventive health check-ups.
Adjusted R2 = 58%, regression model fit, F value = 12.48, p-value < 0.001.
* Significant p-value < 0.05; a Pearson correlation; b independent t-test; c one-way ANOVA test; # correlation coefficient.
| Motivator score | P-value obtained by primary analysis | B coefficient (95% CI), p-value | |||
| Age | -0.20# | <0.001*,a | -0.02 (-0.04 to -0.005), 0.01* | ||
| Gender | Female | 20.06 (2.68) | 0.01*,b | 0.33 (-0.21 to 0.875), 0.11 | |
| Male | 20.73 (2.74) | ||||
| Marital status | Married | 20.68 (2.72) | 0.006*,b | -0.09 (-0.65 to 0.46), 0.30 | |
| Unmarried and others | 19.94 | ||||
| Education | No formal education | 19.31 (1.86) | <0.001*,c | 1 | |
| School education | 20.44 (2.88) | 0.19 (-0.62 to 1.01), 0.63 | |||
| Higher education | 20.85 (2.84) | 0.62 (-0.38 to 1.62), 0.22 | |||
| Occupation | Unemployed | 19.76 (2.44) | <0.001*,c | 1 | |
| Unstable income | 20.7 (3.09) | 0.56 (-0.31 to 1.42), 0.21 | |||
| Stable income | 20.98 (2.77) | 0.51 (-0.19 to 1.22), 0.15) | |||
| Presence of comorbidities | Yes | 21.07 (2.86) | <0.001*,b | 1.67 (1.14 to 2.23), <0.001* | |
| No | 19.86 (2.49) | ||||
| Diagnosed with COVID-19 | Yes | 20.75 (2.68) | 0.08b | ||
| No | 20.25 (2.74) | ||||
| Vaccinated against COVID-19 | Yes | 20.78 (2.83) | <0.001*,b | -0.306 (-0.922 to 0.309), 0.09 | |
| No | 19.68 (2.38) | ||||