Skip to main content

Table 7 The relationship between mobile phone using and nutrient intake

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

 

Boys (N = 663)

Girls (N = 679)

β

Lower CI to upper CI

p †

β

Lower CI to upper CI

p †

Protein (%E)

− 0.023

(− 0.102 to 0.057)

0.575

0.001

(− 0.081 to 0.084)

0.976

Fat (%E)

0.027

(− 0.052 to 0.108)

0.496

0.048

(− 0.035 to 0.133)

0.254

Carbohydrate (%E)

− 0.014

(− 0.094 to 0.067)

0.738

− 0.037

(− 0.121 to 0.046)

0.378

Saturated fatty acids (%E)

0.060

(− 0.019 to 0.139)

0.138

0.046

(− 0.037 to 0.129)

0.277

n-3 fatty acids (%E)

− 0.043

(− 0.123 to 0.036)

0.284

0.039

(− 0.044 to 0.122)

0.355

n-6 fatty acids (%E)

− 0.019

(− 0.093 to 0.056)

0.626

0.021

(− 0.061 to 0.105)

0.610

Sodium (mg/1000 kcal)

− 0.012

(− 0.081 to 0.058)

0.751

0.012

(− 0.061 to 0.083)

0.767

Potassium (mg/1000 kcal)

− 0.047

(− 0.132 to 0.033)

0.242

− 0.020

(− 0.101 to 0.062)

0.636

Calcium (mg/1000 kcal)

0.009

(− 0.072 to 0.091)

0.823

0.013

(− 0.069 to 0.096)

0.754

Iron (mg/1000 kcal)

− 0.036

(− 0.115 to 0.043)

0.370

0.009

(− 0.074 to 0.091)

0.832

Vitamin D (μg/1000 kcal)

− 0.013

(− 0.089 to 0.063)

0.736

0.088

(0.006 to 0.171)

0.036

Vitamin K (μg/1000 kcal)

− 0.089

(− 0.166 to − 0.011)

0.026

0.026

(− 0.056 to 0.107)

0.536

Vitamin B-1 (mg/1000 kcal)

− 0.020

(− 0.103 to 0.062)

0.624

− 0.014

(− 0.095 to 0.067)

0.737

Vitamin B-2 (mg/1000 kcal)

− 0.011

(− 0.091 to 0.068)

0.781

− 0.015

(− 0.095 to 0.066)

0.722

Folic acid (μg/1000 kcal)

− 0.050

(− 0.135 to 0.030)

0.215

− 0.035

(− 0.117 to 0.047)

0.398

Vitamin C (mg/1000 kcal)

− 0.019

(− 0.103 to 0.064)

0.643

− 0.012

(− 0.093 to 0.070)

0.779

Cholesterol (mg/1000 kcal)

0.031

(− 0.049 to 0.111)

0.443

0.037

(− 0.043 to 0.119)

0.360

Total dietary fiber (g/1000 kcal)

− 0.040

(− 0.119 to 0.038)

0.314

− 0.002

(− 0.083 to 0.078)

0.954

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