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Table3 Predictors of depressive symptoms (mild to severe) among adolescents/young adults aged 13-22 (wave-2): Estimates from logistic regression

From: Bidirectional and cross-lag relationship between social media use and psychological wellbeing: evidence from an Indian adolescent cohort study

Variables

Model1

Model2

OR (95% CI)

OR (95% CI)

Social media use

 None(Ref.)

  User at both waves

1.963***(1.629 2.365)

 

  Only at wave 1

2.042***(1.284 3.249)

 

  Only at wave 2

1.675***(1.514 1.852)

 

Duration of social media use (Wave2)

 Zero hour(Ref.)

  1-2 hour

 

1.162**(1.034 1.305)

  3 or more hour

 

1.614***(1.338 1.946)

Age (Wave1)

 13-16(Ref.)

  17-22

1.325***(1.208 1.454)

1.411***(1.288 1.546)

Sex (Wave1)

 Adolescents Male(Ref.)

  Adolescents Female

2.55***(2.277 2.856)

2.275***(2.036 2.542)

Mother’s education (Wave1)

 Not educated (Ref.)

  Educated

0.933 (0.846 1.03)

0.989 (0.897 1.09)

Wealth Index (Wave1)

 Poorest(Ref.)

  Poorer

0.949 (0.814 1.105)

0.958 (0.823 1.116)

  Middle

0.953 (0.821 1.107)

0.982 (0.846 1.14)

  Richer

0.942 (0.814 1.09)

1 (0.865 1.156)

  Richest

0.855**(0.731 0.999)

0.973 (0.835 1.135)

Current schooling (Wave2)

 Never(Ref.)

  Current going

0.896 (0.722 1.111)

0.98 (0.791 1.214)

  Dropout

1.207*(0.977 1.49)

1.257**(1.018 1.551)

Substance use (Wave2)

 No(Ref.)

  Yes

1.445***(1.254 1.666)

1.517***(1.317 1.747)

Paid work (Wave2)

 No(Ref.)

  Yes

1.184***(1.075 1.304)

1.185***(1.076 1.304)

  Pseudo R2

0.035

0.029

  1. ***p<0.01; **p<0.05; *p<0.10; Ref. Reference category, CI Confidence Interval, OR Odds Ratio; Wave 1(2015-16); Wave 2(2018-19).