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Table 1 Sample characteristics

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

Group

Age1 [years] Mean (SD) Median (P25–P75)

Gender2 [“male”] n (%)

BMI1 [kg/m2] Mean (SD) Median (P25–P75)

Education1 [“higher education entrance qualification or higher”] n (%)

Employment2 [“full-time employment”] n (%)

Total sample (n = 808)

24.2 (6.9)

703 (87.0)

24.7 (5.1)

545 (67.5)

247 (30.6)

23.0 (20.0–27.0)

 

24.0 (21.6–26.6)

  

Professional players (n = 20)

22.8 (4.5)

19 (95.0)

24.0 (3.8)

15 (75.0)

7 (35.0)

22.0 (20.0–23.8)

 

23.0 (21.0–26.2)

  

Former professional players (n = 15)

28.4 (7.4)

14 (93.3)

25.3 (3.8)

13 (86.7)

10 (66.7)

27.0 (22.0–37.0)

 

24.8 (22.3–26.6)

  

Amateurs (n = 187)

24.0 (7.3)

178R,O (95.2)

24.9 (4.9)

119 (63.6)

54 (28.9)

22.0 (19.0–26.0)

 

24.2 (21.5–27.4)

  

Regular players (n = 452)

23.9 (6.5)

392A,O (86.7)

24.9 (5.5)

294 (65.0)

136 (30.1)

23.0 (20.0–27.0)

 

24.2 (21.6–26.6)

  

Occasional players (n = 134)

25.2 (7.6)

100A,R (74.6)

24.0 (4.2)

104 (77.5)

40 (29.9)

23.0 (21.0–27.0)

 

23.5 (21.4–25.8)

  

p

0.06

 < 0.01

0.32

0.04

0.06

  1. 1Kruskal–Wallis test; 2Fisher’s Exact Test; 9 participants are missing, because of not specifying gender, weight or height. Superscript letters indicate statistically significant (p < 0.05) differences to other groups in the same column: Pprofessional players; Fformer professional players; Aamateurs; Rregular players; Ooccasional players. Bold values shows a significance (p < 0.05)