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. 2022 Aug 30;13:954760. doi: 10.3389/fphys.2022.954760

TABLE 4.

Demographic characteristics of the athletes’ competitive levels. Top-elite: Olympic games, World championships, and/or European championships. Elite: other international competitions, Swedish or Norwegian championships, the highest national league. Sub-elite: the next highest national league, and district competitions.

Characteristic Top-elite (n = 158) Elite (n = 393) Sub-elite (n = 535) p-value Effect size
Age in years, mean (SD) 26.7 (6.2) a 22.8 (5.8) a 24.4 (7.5) a <0.001 d = 0.03
Body mass index, kg/m2, mean (SD) 22.6 (2.6) 22.9 (2.7) 23.6 (3.0) a <0.001 d = 0.02
Average training, hours/week, mean (SD) 16.6 (7.8) a 11.1 (4.5) a 8.1 (3.6) a <0.001 d = 0.27
History of secondary amenorrhea, n (%) 70 (44) 165 (42) 197 (37) 0.129 w = 0.06
Non-users of HCs, n (%) 71 (45) 160 (41) 178 (33) a 0.009 w = 0.09
 Regular menstrual bleeding 57 (80) 111 (69) a 137 (77) 0.036 w = 0.08
 Current secondary amenorrhea 7 (10) 20 (13) 13 (7) 0.090 w = 0.07
 Dysmenorrhea 50 (71) 116 (73) 135 (76) 0.174 w = 0.06
Users of HCs, n (%) 87 (55) 233 (59) 357 (67) a 0.009 w = 0.09
 Progestins only 46 (53) 117 (50) 191 (54) 0.098 w = 0.07
 Combined HCs 41 (47) 116 (50) 166 (46) 0.468 w = 0.04
 Dysmenorrhea 49 (56) 148 (64) 243 (68) a 0.002 w = 0.11
a

Significant difference as indicated by the Tukey post-hoc test for ANOVA, and by residuals and Bonferroni corrections for the Chi-squared test. The effect sizes were calculated utilizing the Eta-squared and Cohen´s D tests.