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. 2023 Oct 20;15:136. doi: 10.1186/s13102-023-00748-7

Table 1.

Baseline profile of the participants

Variables Football players (n = 45) Non-athletes (n = 45) All participants (n = 90) P-value*
BMI (kg/m2) 22.06 ± 1.34 22.09 ± 1.37 22.08 ± 1.35 0.90
Age (years) 22.89 ± 2.42 22.87 ± 2.42 22.88 ± 2.41 0.96
Weight (kg) 67.85 ± 7.03 66.80 ± 10.41 67.33 ± 8.85 0.47
Height (cm) 175.18 ± 6.63 173.22 ± 10.63 174.20 ± 8.86 0.29
MET (hr/week) 62.68 ± 9.04 16.21 ± 6.26 39.44 ± 24.61 < 0.001
FM (kg) 9.60 ± 3.12 13.10 ± 4.74 11.35 ± 4.36 < 0.001
FFM (kg) 58.25 ± 6.05 53.76 ± 6.98 56.00 ± 6.88 < 0.001
F2a-IP (pg/mg creatinine) 124.51 ± 41.46 241.60 ± 112.38 183.06 ± 102.76 < 0.001
8-OHdG (ng/mg creatinine) 10.90 ± 3.66 20.30 ± 9.52 15.60 ± 8.59 < 0.001
DDS 5.55 ± 1.42 4.25 ± 1.83 4.90 ± 1.76 < 0.001
FQS 44.56 ± 6.13 39.11 ± 6.54 41.80 ± 6.88 < 0.001

Variables are mean ± SD

BMI, body mass index; MET, metabolic equivalent of task; FM, fat mass; FFM, fat free mass; 8-OHdG, 8-hydroxy-2'-deoxy guanosine; F2a-IP, F2alpha-isoprostane; DDS, dietary diversity score; FQS, food quality score

*P-value is based on GEE model with identity link function and exchangeable correlation structure (study groups were matched for age and BMI)

Bold p-value (< 0.05) is considered as statistically significant