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Table 3 Adjusted regression model quantifying the correlates of screen time (except TV viewing) in Brazilian adults

From: Correlates of screen-based behaviors among adults from the 2019 Brazilian National Health Survey

  Computer, tablet, or cellphone use to access social media, news, videos, games, etc.
  None
(0 h/d)
% (95%CI)
Typical
(> 0 to < 3 h/d)
% (95%CI)
Moderate
(≥3.0 to < 6 h/d)
% (95%CI)
High
(≥6.0 h/d)
% (95%CI)
Geographical factors
Region
  North 1 Ref 1 1
  Northeast 0.88 (0.81–0.96) Ref 0.99 (0.89–1.10) 1.14 (1.00–1.30)
  Southeast 0.56 (0.51–0.62) Ref 0.92 (0.82–1.04) 0.91 (0.79–1.05)
  South 0.58 (0.52–0.65) Ref 0.79 (0.69–0.89) 0.78 (0.66–0.92)
  Midwest 0.55 (0.49–0.63) Ref 0.94 (0.83–1.07) 0.90 (0.76–1.06)
Type of city
  Capital 1 Ref 1 1
  Others 1.25 (1.16–1.35) Ref 0.87 (0.80–0.95) 0.69 (0.62–0.76)
Type of residence
  Urban 1 Ref 1 1
  Rural 1.94 (1.79–2.09) Ref 0.76 (0.67–0.86) 0.54 (0.45–0.63)
Demographic factors
Sex
  Men 1 Ref 1 1
  Women 0.71 (0.66–0.77) Ref 1.01 (0.93–1.10) 0.93 (0.84–1.03)
Age group
  18-34y 1 Ref 1 1
  35-49y 2.03 (1.84–2.24) Ref 0.41 (0.37–0.45) 0.27 (0.24–0.30)
  50-64y 4.54 (4.10–5.03) Ref 0.25 (0.23–0.29) 0.14 (0.12–0.16)
   ≥ 65y 12.61 (11.20–14.19) Ref 0.21 (0.18–0.26) 0.11 (0.08–0.14)
Highest academic achievement
  Up to high school 1 Ref 1 1
  High school 0.44 (0.40–0.47) Ref 1.37 (1.24–1.51) 1.20 (1.06–1.35)
  College or more 0.22 (0.19–0.25) Ref 1.26 (1.12–1.43) 1.01 (0.87–1.16)
Employment status
  Employed 1 Ref 1 1
  Unemployed 1.55 (1.43–1.67) Ref 1.18 (1.08–1.32) 1.74 (1.56–1.95)
Income
   ≤ 1 times minimum wage 1 Ref 1 1
  1–3 times minimum wage 0.64 (0.59–0.69) Ref 1.19 (1.07–1.31) 1.14 (1.01–1.28)
   > 3 times minimum wage 0.48 (0.42–0.56) Ref 1.10 (0.96–1.28) 1.09 (0.90–1.31)
Internet access
  Yes 1 Ref 1 1
  No 5.90 (5.45–6.40) Ref 0.60 (0.50–0.71) 0.54 (0.43–0.66)
Lifestyle behaviors
Leisure physical activity
   < 150 min/week 1 Ref 1 1
   ≥ 150 min/week 1.54 (1.42–1.67) Ref 0.88 (0.80–0.96) 0.84 (0.76–0.94)
Sugary foods consumption
  < 5 days/week 1 Ref 1 1
  ≥ 5 days/week 0.98 (0.89–1.09) Ref 1.19 (1.06–1.35) 1.44 (1.28–1.63)
Soft drink consumption
   < 5 days/week 1 Ref 1 1
   ≥ 5 days/week 1.12 (0.97–1.29) Ref 1.40 (1.22–1.60) 2.06 (1.79–2.37)
Health status
Elevated depressive symptoms
  No 1 Ref 1 1
 Yes 1.13 (1.01–1.26) Ref 1.34 (1.10–1.63) 1.55 (1.34–1.80)
Obesity
  No 1 Ref 1 1
 Yes 0.90 (0.83–0.97) Ref 1.19 (1.08–1.32) 1.16 (1.04–1.30)
Self-rated health
 Good 1 Ref 1 1
 Bad 1.25 (1.16–1.34) Ref 0.88 (0.80–0.97) 1.09 (0.97–1.24)
  1. The final model is adjusted for all variables presented. Variable with p > 0.05 was removed from the final model. The data are odds ratios and indicate that, for example, compared to participants without elevated depressive symptoms those with elevated depressive symptoms were 55% less likely to be in the high screen time than the typical screen time group