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Table 4 Factors associated with television, smartphone and laptop use of study populationa

From: Electronic screen device usage and screen time among preschool-attending children in a suburban area of Sri Lanka

Socio-demographic factor

Television users

Smartphone users

Laptop users

Number (%)

AOR

(95% CI)

P-value

Number (%)

AOR

(95% CI)

P-value

Number (%)

AOR

(95% CI)

P-value

Gender of the child

 Male (N = 148)

127

(85.5%)

0.77

(0.38–1.56)

0.47

102

(68.9%)

1.70

(1.02–2.83)

 < 0.05

25

(16.9%)

1.34

(0.68–2.62)

0.39

 Female (N = 153)

136

(88.9%)

89

(58.2%)

21

(13.7%)

Age of the child

 4–5 years (N = 178)

164

(92.1%)

2.84

(1.39–5.82)

 < 0.01

108

(60.7%)

0.76

(0.46–1.28)

0.31

28

(15.7%)

1.14

(0.58–2.25)

0.69

 3–4 years (N = 123)

99

(80.5%)

83

(67.5%)

18

(14.6%)

Mother's education level

 > Ordinary level (N = 255)

223

(87.5%)

1.06

(0.34–3.25)

0.91

167

(65.5%)

0.76

(0.35–1.66)

0.50

43

(16.9%)

0.71

(0.16–2.98)

0.63

 ≤ Ordinary level (N = 46)

40

(87.0%)

24

(52.2%)

3

(6.5%)

  

Father's education level

 > Ordinary level (N = 207)

180 (87.0%)

0.64

(0.25–1.63)

0.35

149

(72.0%)

3.39

(1.81–6.33)

 < 0.001

43

(20.8%)

6.67

(1.75–25.3)

 < 0.01

 ≤ Ordinary level (N = 94)

83 (88.3%)

42

(44.7%)

3

(3.2%)

  

Mother's employment status

 Employed (N = 149)

133

(89.3%)

1.26

(0.59–2.65)

0.54

107

(71.8%)

1.59

(0.92–2.74)

0.09

33

(22.1%)

2.22

(1.07–4.58)

 < 0.05

 Unemployed (N = 152)

130

(85.5%)

84

(55.3%)

13

(8.6%)

  

Number of children

         

 Only child (N = 126)

109

(86.5%)

0.85

(0.42–1.74)

0.67

93

(73.5%)

2.16

(1.26–3.68)

< 0.01

22

(17.5%)

1.26

(0.65–2.47)

0.48

 More than one child (N = 175)

154

(88.0%)

98

(56.0%)

24

(13.7%)

  

Monthly family income

 > LKR 50,000 (N = 168)

151

(89.9%)

1.94

(0.89–4.23)

0.09

114

(67.9%)

0.95

(0.54–1.67)

0.88

34

(20.2%)

1.51

(0.70–3.26)

0.28

 ≤ LKR 50,000 (N = 133)

112

(84.2%)

77

(57.9%)

12

(9.0%)

  
  1. aThe analysis was done using binary logistic regression. 301 subjects with completed socio-demographic data were included in the analysis. Adjusted odds ratios (AOR) were determined by adjusting to all other variables in the table