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Table 5 The relationship between television viewing and nutrient intake

From: Relationship between screen time and nutrient intake in Japanese children and adolescents: a cross-sectional observational study

 

Boys (N = 664)

Girls (N = 682)

β

Lower CI to upper CI

p †

β

Lower CI to upper CI

p †

Protein (%E)

− 0.109

(− 0.184 to − 0.033)

0.005

− 0.085

(− 0.159 to − 0.009)

0.027

Fat (%E)

− 0.019

(− 0.096 to 0.058)

0.632

0.030

(− 0.045 to 0.107)

0.430

Carbohydrate (%E)

0.054

(− 0.024 to 0.131)

0.172

0.010

(− 0.066 to 0.085)

0.803

Saturated fatty acids (%E)

0.001

(− 0.076 to 0.077)

0.989

− 0.027

(− 0.102 to 0.048)

0.485

n-3 fatty acids (%E)

− 0.048

(− 0.124 to 0.029)

0.221

0.038

(− 0.038 to 0.113)

0.327

n-6 fatty acids (%E)

− 0.038

(− 0.110 to 0.034)

0.299

0.079

(0.004 to .154)

0.040

Sodium (mg/1000 kcal)

− 0.046

(− 0.110 to 0.023)

0.200

− 0.065

(− 0.126 to 0.005)

0.072

Potassium (mg/1000 kcal)

− 0.076

(− 0.158 to 0.000)

0.050

− 0.056

(− 0.129 to 0.018)

0.142

Calcium (mg/1000 kcal)

− 0.109

(− 0.189 to − 0.033)

0.005

− 0.175

(− 0.246 to − 0.098)

< 0.001

Iron (mg/1000 kcal)

− 0.084

(− 0.159 to − 0.009)

0.029

− 0.038

(− 0.112 to 0.037)

0.328

Vitamin D (μg/1000 kcal)

− 0.039

(− 0.111 to 0.035)

0.312

− 0.064

(− 0.139 to 0.011)

0.096

Vitamin K (μg/1000 kcal)

− 0.098

(− 0.170 to − 0.022)

0.011

− 0.028

(− 0.102 to 0.047)

0.474

Vitamin B-1 (mg/1000 kcal)

− 0.061

(− 0.142 to 0.015)

0.112

− 0.040

(− 0.113 to 0.034)

0.288

Vitamin B-2 (mg/1000 kcal)

− 0.076

(− 0.154 to − 0.001)

0.046

− 0.079

(− 0.152 to − 0.006)

0.035

Folic acid (μg/1000 kcal)

− 0.068

(− 0.149 to 0.009)

0.081

− 0.010

(− 0.084 to 0.064)

0.794

Vitamin C (mg/1000 kcal)

− 0.016

(− 0.097 to 0.064)

0.683

0.038

(− 0.036 to 0.112)

0.313

Cholesterol (mg/1000 kcal)

− 0.060

(− 0.138 to 0.016)

0.122

0.012

(− 0.062 to 0.085)

0.758

Total dietary fiber (g/1000 kcal)

− 0.074

(− 0.149 to 0.000)

0.051

− 0.025

(− 0.097 to 0.049)

0.514

  1. †Multivariate linear regression analyses, adjusting for age, BMI, and physical activity