Table 3 Logistic regression analyses between paternal parenting and smartphone addiction (n = 517)
Variable | Smartphone addiction, OR (95% CI) | ||
|---|---|---|---|
Model1a | Model2b | Model3c | |
Paternal care | 0.952 (0.918,0.986)** | 0.951 (0.917,0.985)** | 0.954 (0.919,0.989)* |
Paternal protection | 1.024 (0.986,1.063) | 1.023 (0.985,1.063) | 1.025 (0.986,1.065) |
Age | Â | 0.902 (0.716,1.137) | 0.884 (0.692,1.128) |
Gender-Male (ref) | |||
 Female |  | 0.939 (0.648,1.363) | 0.950 (0.648,1.393) |
Duration of medical program-5-year (ref) | |||
 8-year |  | 1.157 (0.778,1.720) | 1.152 (0.726,1.828) |
Household registration area-Rural (ref) | |||
 Urban |  | 0.959 (0.646,1.423) | 1.016 (0.635,1.626) |
Annual household income(¥)- ≤ 20,000 (ref) | |||
 20,000-50,000 |  |  | 0.860 (0.489,1.512) |
 50,000-100,000 |  |  | 0.733 (0.429,1.254) |
  ≥ 100,000 |  |  | 0.696 (0.270,1.792) |
Father’s educational level-Junior high school or below (ref) | |||
 High school |  |  | 0.782 (0.479,1.278) |
 University or above |  |  | 1.007 (0.571,1.776) |
Father’s occupation-Legislators, senior officials and managers (ref) | |||
 Professionals, technicians and associate professionals |  |  | 0.695 (0.357,1.354) |
 Clerical support workers |  |  | 0.736 (0.289,1.877) |
 Service and sales workers |  |  | 0.927 (0.459,1.872) |
 Skilled agricultural, forestry and fishery workers |  |  | 0.844 (0.373,1.907) |
 Craft and related trades workers, plant and machine operators and assemblers |  |  | 1.014 (0.431,2.388) |
 Other |  |  | 1.044 (0.552,1.976) |
Log likelihood function | −346.850 | −346.116 | −342.266 |
Pseudo R2 | 0.031 | 0.033 | 0.044 |
AIC | 699.700 | 706.232 | 720.532 |
BIC | 712.445 | 735.968 | 796.997 |
Marginal effect | |||
 Paternal care | −0.050(−0.085,-0.014)** | −0.051(−0.087,-0.015)** | −0.048(−0.085,-0.011)* |
 Paternal protection | 0.024(− 0.014, 0.061) | 0.023(− 0.015,0.061) | 0.025(− 0.014,0.063) |