| Literature DB >> 36231231 |
Philip von Rosen1, Linda Ekenros1, Guro Strøm Solli2,3, Øyvind Sandbakk2,4, Hans-Christer Holmberg5,6, Angelica Lindén Hirschberg7,8, Cecilia Fridén1,7.
Abstract
Many female athletes perceive that symptoms related to the menstrual cycle such as dysmenorrhea, premenstrual symptoms, amenorrhea or side-effects of hormonal contraceptives negatively impact their training, performance, and general well-being. Knowledge and communication about female athletes' health is therefore important in the sport community. The aims of this study were to explore the level of knowledge and communication about menstrual cycle issues and use of hormonal contraceptives in the athletic community and to describe the kinds of medical support offered to female athletes. A total of 1086 Swedish and Norwegian athletes from 57 different sports responded to a web-based questionnaire. Of these, 58% (n = 627) practiced team sports and 42% (n = 459) individual sports. Twenty-six percent (n = 278) of the athletes perceived their knowledge about female athlete health to be poor/very poor and the knowledge was most often acquired from medical staff. Fifty-three percent (n = 572) of the athletes perceived the knowledge acquired of their coaches as poor/very poor, even though a significantly (p < 0.001) higher proportion of athletes with a female coach (30%, n = 31) rated their coach's knowledge as very good/good, compared to athletes with a male coach (5%, n = 31). Only 11% (n = 116) of the athletes discussed female health issues with their coach. The majority (81%, n = 842) of the athletes partly to strongly agreed that female athlete health is considered a taboo topic in the athletic community. Forty-seven percent (n = 510) of the athletes had access to a physiotherapist, while only three percent (n = 29) had access to a gynecologist. Low perceived knowledge, lack of communication and support demonstrate the need for a multi-professional medical team and enhanced educational efforts focused on female athlete health in the athletic community.Entities:
Keywords: amenorrhea; hormonal contraceptives; menstrual cycle; physical performance; sport
Mesh:
Substances:
Year: 2022 PMID: 36231231 PMCID: PMC9564720 DOI: 10.3390/ijerph191911932
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
The different sports represented, n (percentage) of participants in each sport. Athletes from team sports, n = 627 (58) and athletes from individual sports, n = 459 (42).
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| Roller derby | 7 (1) |
| Soccer | 312 (29) | Athletics (discus, javelin) | 6 (1) |
| Handball | 243 (22) | Ski jumping | 6 (1) |
| Floorball | 42 (4) | Climbing | 4 (<1) |
| Basketball | 8 (1) | Rowing | 4 (<1) |
| Ice hockey | 8 (1) | Skateboarding | 4 (<1) |
| Volleyball | 6 (1) | Weightlifting | 4 (<1) |
| Rugby | 4 (<1) | Curling | 3 (<1) |
| Beach volleyball | 2 (<1) | Gym training | 3 (<1) |
| American football | 1 (<1) | Judo | 3 (<1) |
| Bandy | 1 (<1) | Badminton | 2 (<1) |
| _______________________ | ________ | Canoeing (sprint) | 2 (<1) |
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| CrossFit | 2 (<1) |
| Orienteering | 94 (9) | Snowboarding | 2 (<1) |
| Cross-country skiing | 58 (5) | Ski orienteering | 2 (<1) |
| Swimming | 35 (3) | Tennis | 2 (<1) |
| Gymnastics | 31 (3) | Equestrian vaulting | 2 (<1) |
| Triathlon | 24 (2) | Wrestling | 2 (<1) |
| Powerlifting | 19 (2) | Aerobics | 1 (<1) |
| Cycling | 17 (2) | Enduro | 1 (<1) |
| Budo | 16 (1) | Free skiing | 1 (<1) |
| Alpine skiing | 15 (1) | Drill | 1 (<1) |
| Biathlon | 15 (1) | Golf | 1 (<1) |
| Figure skating | 14 (1) | Kick boxing | 1 (<1) |
| Athletics (sprint/jump) | 12 (1) | Rhythmic gymnastics | 1 (<1) |
| Athletics (distance running *) | 13 (1) | Shooting | 1 (<1) |
| Canoeing (distance) | 9 (1) | Ski cross | 1 (<1) |
| Equestrian | 8 (1) | Not indicated | 1 (<1) |
| Archery | 7 (1) |
* middle-/long-distance running.
Background characteristics and support, in terms of sex of main coach and access to medical staff, for the female athletes included in this survey divided into team (n = 627) and individual sports (n = 459).
| All Athletes | Top-Elite | Elite | Sub-Elite | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TEAM | IND | TEAM | IND | TEAM | IND | TEAM | IND | |||||
| Age, mean (SD) | 23.6 (6.3) | 24.8 | 0.006 | 26.2 (0.7) | 26.7 (6.4) | 0.766 | 22.6 (5.0) | 22.8 (6.2) | 0.843 | 23.7 (6.7) | 27.9 (10.0) | <0.001 |
| BMI, mean (SD) | 23.6 (2.8) | 22.6 | <0.001 | 23.6 (0.5) | 22.4 (2.6) | 0.013 | 23.5 (0.6) | 22.5 (2.6) | <0.001 | 23.5 (8.7) | 23.6 | 0.805 |
| Sex of coach, | ||||||||||||
| Male | 489 (78) | 258 (56) | <0.001 | 25 (86) | 86 (67) | 0.082 | 113 (77) | 140 (57) | <0.001 | 337 (75) | 50 (60) | 0.007 |
| Female | 78 (12) | 65 (14) | 0.407 | 3 (10) | 12 (9) | 0.916 | 21 (15) | 40 (16) | 0.767 | 54 (12) | 14 (17) | 0.216 |
| Male and female | 45 (7) | 44 (9) | 0.191 | 1 (3) | 12 (9) | 0.278 | 9 (6) | 22 (9) | 0.330 | 35 (8) | 10 (12) | 0.194 |
| No main coach | 15 (2) | 93 (20) | <0.001 | 0 | 19 (15) | n.a. | 2 (1) | 44 (18) | <0.001 | 20 (4) | 9 (11) | 0.021 |
| Access to medical staff *, | ||||||||||||
| Medical staff, overall | 453 (72) | 331 (72) | 0.961 | 29 (97) | 112 (88) | 0.145 | 133 (91) | 181 (74) | <0.001 | 292 (65) | 40 (48) | 0.005 |
| Dietician | 61 (10) | 110 (24) | <0.001 | 17 (57) | 62 (48) | 0.417 | 21 (14) | 46 (18) | 0.280 | 24 (5) | 4 (5) | 0.854 |
| Gynecologist | 9 (1) | 20 (4) | 0.003 | 0 | 13 (10) | n.a. | 3 (2) | 7 (3) | 0.636 | 8 (2) | 1 (1) | 0.713 |
| Physician | 109 (17) | 142 (31) | <0.001 | 25 (83) | 72 (56) | 0.006 | 40 (27) | 63 (26) | 0.680 | 44 (10) | 8 (10) | 0.978 |
| Physiotherapist | 315 (50) | 195 (42) | 0.011 | 30 (100) | 81 (63) | <0.001 | 101 (69) | 101 (41) | <0.001 | 183 (40) | 16 (19) | <0.001 |
| Use of HC | 437 (70) | 242 (53) | <0.001 | 15 (50) | 57 (45) | 0.588 | 107 (73) | 128 (52) | <0.001 | 316 (70) | 41 (49) | <0.001 |
BMI = body mass index, TEAM = team player athlete, IND = individual competitive athlete, HC = hormonal contraceptives. * Medical staff includes chiropractor, dietician, gynecologist, mental coach, masseur, naprapathy, physiotherapist, physician, and physical trainer. n.a. = not applicable.
Figure 1How knowledge about female athlete health was acquired (A), person to talk with about female athlete health (B) and opportunities to discuss amenorrhea, lasting > 3 months, in the athletic community (C).
Opportunities to talk about amenorrhea (lasting > 3 months), perception of coach’s knowledge about aspects of female athlete health and whether this subject is considered to be taboo in the athletic community, by sex of coach. p-values are based on Chi-square tests.
| Male Coach | Female Coach | ||
|---|---|---|---|
| Do talk about female athlete health with their coach, | 28 (4) | 78 (55) | 0.002 |
| Opportunity to discuss amenorrhea, | |||
| Never experienced amenorrhea | 155 (21) | 30 (21) | 0.559 |
| Discussed amenorrhea at least once | 143 (19) | 22 (15) | |
| Experienced amenorrhea | 298 (40) | 52 (36) | |
| Perception of coach’s knowledge, | |||
| Very good/good | 31 (5) | 31 (30) | <0.001 |
| Fair | 123 (19) | 48 (46) | |
| Very poor/poor | 484 (76) | 25 (24) | |
| Female athlete health is taboo in the athletic community, | |||
| Strongly agree/agree | 293 (41) | 58 (42) | 0.948 |
| Partly agree | 286 (40) | 53 (39) | |
| Disagree/strongly disagree | 138 (19) | 26 (19) |
Figure 2Athletes’ own perceived knowledge about aspects of female athlete health that might influence athletic performance (A), their coach’s knowledge in this area (B) and whether this subject was taboo in the athletic community (C) across athlete level. For “C”, the ordinal scale “Strongly agree/agree”, “Partly agree”, “Disagree/strongly disagree”, “Do not know” was used in descending order.
Figure 3Athletes’ own perceived knowledge about aspects of female athlete health that might influence athletic performance, their coach’s knowledge in this area and whether this subject was taboo in the athletic community across age of the athletes. Confidence intervals (95%) depicted by error bars. p-values are based on one-way ANOVA for differences across age for each item. For item “Subject is taboo in the athletic community”, the ordinal scale “Strongly agree/agree”, “Partly agree”, “Disagree/strongly disagree” was used in descending order.