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Table 6 Correlations with health status and video game playing time

From: Dietary behavior of video game players and esports players in Germany: a cross-sectional study

 

Health status

Video game playing time

rho

p

rho

p

Well-being score

0.42

 < 0.01

 − 0.02

0.61

Physical activity

0.31

 < 0.01

 − 0.02

0.63

Sedentary time

0.21

 < 0.01;

0.23

 < 0.01

Health status

  

 − 0.09

0.01

BMI

 − 0.31

 < 0.01

0.05

0.13

Video game playing time

 − 0.08

0.02

  

Water

0.08

0.03

 − 0.07

0.04

Soft drinks

 − 0.08

0.03

0.15

 < 0.01

Energy drinks

 − 0.11

 < 0.01

0.14

 < 0.01

Light soft drinks

 − 0.09

0.01

 − 0.03

0.45

Coffee

0.62

0.02

 − 0.13

 < 0.01

Beer

0.04

0.23

 − 0.12

 < 0.01

Wine

0.09

0.01

 − 0.16

 < 0.01

Mixed alcoholic drinks

0.08

0.04

 − 0.10

 < 0.01

Fruits

0.19

 < 0.01

 − 0.14

 < 0.01

Vegetables

0.14

 < 0.01

 − 0.10

 < 0.01

Cereals

0.12

 < 0.01

 − 0.15

 < 0.01

Cornflakes

0.05

0.17

0.12

 < 0.01

Fish

0.11

 < 0.01

 − 0.01

0.71

Dairy products

0.09

 < 0.01

 − 0.14

 < 0.01

Cheese

 − 0.04

0.28

 − 0.09

0.02

Nuts

0.10

 < 0.01

 − 0.10

 < 0.01

Fast food

 − 0.12

 < 0.01

0.13

 < 0.01

Red meat

0.01

0.88

0.09

 < 0.01

Poultry

 − 0.01

0.83

0.11

 < 0.01

Sausage

 − 0.08

0.03

0.08

0.02

Sweet bakery products

0.04

0.25

 − 0.12

 < 0.01

  1. Partial spearman correlations. n = 789 due to missing data in the included parameters. Bold lines show at least a significant weak correlation