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Table 6 The relationship between personal computer using 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 = 680)

β

Lower CI to upper CI

p †

β

Lower CI to upper CI

p †

Protein (%E)

− 0.051

(− 0.131 to 0.029)

0.208

− 0.014

(− 0.095 to 0.066)

0.725

Fat (%E)

− 0.013

(− 0.093 to 0.067)

0.749

0.037

(− 0.044 to 0.119)

0.367

Carbohydrate (%E)

0.028

(− 0.053 to 0.109)

0.495

− 0.026

(− 0.108 to 0.055)

0.523

Saturated fatty acids (%E)

0.001

(− 0.079 to 0.080)

0.984

0.052

(− 0.029 to 0.133)

0.206

n-3 fatty acids (%E)

− 0.050

(− 0.130 to 0.029)

0.216

0.023

(− 0.058 to 0.105)

0.571

n-6 fatty acids (%E)

− 0.044

(− 0.119 to 0.030)

0.243

− 0.016

(− 0.097 to 0.065)

0.692

Sodium (mg/1000 kcal)

− 0.051

(− 0.118 to 0.021)

0.172

− 0.001

(− 0.071 to 0.070)

0.989

Potassium (mg/1000 kcal)

− 0.076

(− 0.162 to 0.003)

0.059

− 0.025

(− 0.104 to 0.055)

0.538

Calcium (mg/1000 kcal)

− 0.037

(− 0.120 to 0.043)

0.357

0.009

(− 0.072 to 0.089)

0.836

Iron (mg/1000 kcal)

− 0.075

(− 0.154 to 0.003)

0.061

− 0.015

(− 0.096 to 0.066)

0.714

Vitamin D (μg/1000 kcal)

0.028

(− 0.049 to 0.104)

0.486

0.045

(− 0.035 to 0.126)

0.270

Vitamin K (μg/1000 kcal)

− 0.085

(− 0.162 to − 0.007)

0.033

− 0.009

(− 0.089 to 0.072)

0.834

Vitamin B-1 (mg/1000 kcal)

− 0.036

(− 0.120 to 0.045)

0.370

− 0.047

(− 0.126 to 0.032)

0.240

Vitamin B-2 (mg/1000 kcal)

− 0.041

(− 0.122 to 0.038)

0.299

− 0.004

(− 0.083 to 0.075)

0.918

Folic acid (μg/1000 kcal)

− 0.078

(− 0.164 to 0.001)

0.053

− 0.026

(− 0.107 to 0.054)

0.515

Vitamin C (mg/1000 kcal)

− 0.044

(− 0.131 to 0.037)

0.272

− 0.019

(− 0.099 to 0.060)

0.633

Cholesterol (mg/1000 kcal)

0.010

(− 0.070 to 0.091)

0.805

0.034

(− 0.045 to 0.113)

0.399

Total dietary fiber (g/1000 kcal)

− 0.052

(− 0.132 to 0.026)

0.186

− 0.004

(− 0.083 to 0.074)

0.916

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