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Table 3 Factors associated with screen time exceeding one hour per day a

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

Socio-demographic factor

Number (%) with screen time > 1 h per day

Adjusted Odds Ratio (95% CI)

P-value

Gender of the child

 Male (N = 148)

90 (60.8%)

0.99

(0.61–1.60)

0.97

 Female (N = 153)

94 (61.4%)

Age of the child

 4–5 years (N = 178)

113 (63.5%)

1.34

(0.82–2.17)

0.23

 3–4 years (N = 123)

71 (57.7%)

Mother's education level

 > Ordinary level (N = 255)

159 (62.4%)

1.28

(0.19–1.28)

0.51

 ≤ Ordinary level (N = 46)

25 (54.3%)

Father's education level

  > Ordinary level (N = 207)

140 (67.6%)

2.65

(1.45–4.84)

 < 0.01

  ≤ Ordinary level (N = 94)

44 (46.8%)

Mother's employment status

 Employed (N = 149)

99 (66.4%)

1.28

(0.76–2.14)

0.33

 Unemployed (N = 152)

85 (55.9%)

Number of children

 Only child (N = 126)

82 (65.1%)

1.30

(0.79–2.13)

0.29

 More than one child (N = 175)

102 (58.3%)

Monthly family income

 > LKR 50,000 (N = 168)

106 (63.1%)

1.15

(0.67–1.96)

0.60

 ≤ LKR 50,000 (N = 133)

78 (58.6%)

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