Skip to main content

Table 4 Results of regression analysis with PSU as a criterion variablea (n = 1062)

From: Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates

 

Crude

Adjusted

Predictors

OR

95% CI

OR

95% CI

p

Gender: 0 = male; 1 = female

0.96

0.72–1.29

0.80

0.55–1.17

0.251

Grade

0.89

0.78–1.01

0.89

0.77–1.04

0.135

Science-humanities division: 0 = Science; 1 = Humanities

1.73

1.26–2.37

2.14

1.45–3.16

<0.001

Monthly income from family (RMB)

  

-

-

0.003

 0:1000–1500; 1: ≤1000

1.42

1.02–1.98

1.34

0.93–1.93

0.112

 0:1000–1500; 1: ≥1500

2.14

1.35–3.39

2.45

1.46–4.13

0.001

Emotional symptoms (SAS + SDS)

1.04

1.03–1.05

1.01

1.01–1.03

0.039

PSS

1.14

1.10–1.17

1.06

1.02–1.10

0.003

CFMPS-DA

1.20

1.15–1.26

1.15

1.08–1.22

<0.001

CFMPS-PE

1.09

1.05–1.12

1.04

1.00–1.08

0.047

CFMPS-CM

1.11

1.08–1.14

1.04

0.98–1.09

0.068

CFMPS-OR

0.94

0.91–0.98

0.96

0.92–1.01

0.089

CFMPS-PS

1.02

0.99–1.05

0.96

0.92–1.01

0.085

(Intercept)

-

-

0.006

-

<0.001

  1. PSU problematic smartphone use, OR odds ratio, CI confidence interval, SAS Zung Self-Rating Anxiety Scale, SDS Zung Self-Rating Depression Scale, PSS Perceived Stress Scale, CFMPS-DA Chinese Frost Multidimensional Perfectionism Scale-Doubts about Actions subscale, CFMPS-PE CFMPS-Parental Expectations subscale, CFMPS-CM CFMPS- Concern over Mistakes subscale, CFMPS-OR CFMPS-Organization subscale, CFMPS-PS CFMPS- Personal Standards subscale
  2. aCriterion variable setting: 0 = non-PSU; 1 = PSU