Table 2.
Associations of age, gender, and SES with SAPS scores (PSU symptoms) and high smartphone usage time (> 2 h/d) (N = 564)
dependent variables | ||||
---|---|---|---|---|
SAPS score (PSU symptoms) | high daily smartphone usage time (> 2 h/d) | |||
independent variables | n | 564 | n | 564 |
age | b | 0.56 | OR | 1.35 |
CI 95% | 0.28 – 0.84 | CI 95% | 1.22 – 1.50 | |
ß | 0.16 | p | < .001 | |
t | 3.92 | |||
p | < .001 | |||
gender(female) | b | 1.89 | OR | 1.75 |
CI 95% | 0.81 – 2.96 | CI 95% | 1.19 – 2.55 | |
ß | 0.14 | p | 0.004 | |
t | 3.45 | |||
p | < .001 | |||
SES | b | -0.08 | OR | 0.83 |
CI 95% | -0.25 – 0.09 | CI 95% | 0.78 – 0.89 | |
ß | -0.04 | p | < .001 | |
t | -0.93 | |||
p | 0.35 | |||
R2 | 0.05 | |||
F | < .001 |
b non-standardized regression coefficient, ß standardized regression coefficient, OR odds ratio. Significant associations are highlighted in bold