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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