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. 2022 Mar 18;22:195. doi: 10.1186/s12888-022-03815-4

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