| Literature DB >> 34831828 |
Martina Höök1,2, Max Bergström1, Stig Arve Sæther3, Kerry McGawley1.
Abstract
Competitive female athletes perceive their hormonal cycles to affect their training, competition performance and overall well-being. Despite this, athletes rarely discuss hormonal-cycle-related issues with others. The aim of this study was to gain an in-depth understanding of the perceptions and experiences of endurance athletes and their coaches in relation to barriers to athlete-coach communication about female hormonal cycles. Thirteen Swedish national-/international-level female cross-country skiers (age 25.8 ± 3.6 y) and eight of their coaches (two women and six men; age 47.8 ± 7.5 y) completed an online survey relating to their educational background, prior knowledge about female hormonal cycles and a coach-athlete relationship questionnaire (CART-Q). They then participated in an online education session about female hormonal cycles and athletic performance before participating in semi-structured focus-group interviews. Thematic analyses revealed three main barriers to communication: knowledge, interpersonal, and structural. In addition, the results suggested that a good coach-athlete relationship may facilitate open communication about female hormonal cycles, while low levels of knowledge may hinder communication. To overcome the perceived barriers to communication, a model is proposed to improve knowledge, develop interpersonal relationships and strengthen structural systems through educational exchanges and forums for open discussion.Entities:
Keywords: coach–athlete relationship; communication; focus group; interview; menstruation; sport; women
Mesh:
Year: 2021 PMID: 34831828 PMCID: PMC8623003 DOI: 10.3390/ijerph182212075
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The four sequential stages of the data collection.
Descriptive data for the female athletes relating to age, educational level, prior education * and mean (standard deviation, SD) coach–athlete relationship (CART-Q) scores.
| Pseudonym | Age (y) | Highest Level of Education | Prior Education * | Commitment | CART-Q Closeness | Complementarity |
|---|---|---|---|---|---|---|
| Lena | 20–25 | Upper secondary school | 3–4 | 6.0 (1.4) | 7.0 (0.0) | 6.3 (1.3) |
| Celine | 20–25 | University, other | 1–2 | 5.3 (1.2) | 6.8 (0.4) | 6.3 (0.4) |
| Helena | 20–25 | University, other | 1–2 | 6.7 (0.5) | 7.0 (0.0) | 7.0 (0.0) |
| Josefin | 20–25 | University, sport sci | 1–2 | 6.0 (1.4) | 7.0 (0.0) | 7.0 (0.0) |
| Greta | 20–25 | University, other | 1–2 | 5.0 (2.8) | 7.0 (0.0) | 7.0 (0.0) |
| Alexandra | 20–25 | University, sport sci | 3–4 | 7.0 (0.0) | 6.8 (0.4) | 5.0 (1.2) |
| Lotta | 20–25 | University, other | 1–2 | 5.0 (2.8) | 7.0 (0.0) | 7.0 (0.0) |
| Bodil | 20–25 | University, other | 1–2 | 6.5 (0.5) | 7.0 (0.0) | 7.0 (0.0) |
| Jennifer | 26–35 | University, other | 0 | 6.0 (1.4) | 7.0 (0.0) | 7.0 (0.0) |
| Kristina | 26–35 | University, other | 1–2 | 6.0 (0.0) | 6.3 (0.4) | 5.3 (0.4) |
| Marie | 26–35 | University, other | 1–2 | 5.7 (1.2) | 7.0 (0.0) | 6.8 (0.4) |
| Gunilla | 26–35 | Upper secondary school | 1–2 | 5.0 (2.2) | 7.0 (0.0) | 7.0 (0.0) |
| Amanda | 26–35 | University, sport sci | 1–2 | 5.7 (1.2) | 5.5 (0.9) | 6.0 (0.0) |
| Mean (SD) | 5.9 (0.6) | 6.8 (0.4) | 6.5 (0.7) |
* Number of prior menstrual cycle/hormonal contraceptive educational sessions received. Sport sci: sports science courses; other: courses not containing sports science.
Descriptive data for the female (F) and male (M) coaches relating to age, educational level, prior education * and mean (standard deviation, SD) coach–athlete relationship (CART-Q) scores.
| Pseudonym | Age (y) | Highest Level of Education | Prior Education * | Commitment | CART-Q Closeness | Complementarity |
|---|---|---|---|---|---|---|
| Elisabet (F) | 30–45 | University, sport sci | >5 | 6.0 (0.8) | 6.5 (0.5) | 6.5 (0.5) |
| Erika (F) | 46–60 | University, coach education | 0 | 5.7 (1.2) | 7.0 (0.0) | 6.8 (0.4) |
| Daniel (M) | 30–45 | University, sport sci | >5 | 5.7 (1.2) | 6.8 (0.4) | 6.5 (0.5) |
| Samuel (M) | 30–45 | University, coach education | 1–2 | 7.0 (0.0) | 7.0 (0.0) | 7.0 (0.0) |
| Tommy (M) | 46–60 | University, sport sci | 1–2 | 7.0 (0.0) | 7.0 (0.0) | 6.5 (0.9) |
| Hampus (M) | 46–60 | University, coach education | 3–4 | 6.3 (0.5) | 6.5 (0.5) | 6.8 (0.4) |
| Oskar (M) | 46–60 | University, other | 1–2 | 6.3 (0.9) | 6.8 (0.4) | 6.3 (0.4) |
| Arild (M) | 46–60 | University, other | >5 | 5.0 (1.4) | 7.0 (0.0) | 6.8 (0.4) |
| Mean (SD) | 6.1 (0.6) | 6.8 (0.2) | 6.6 (0.2) |
* Number of prior menstrual cycle/hormonal contraceptive educational sessions received. sport sci: sports science courses; other: courses not containing sports science/coach education.
Higher-order themes of barriers to communication related to the female hormonal cycle derived from the focus-group interviews with the athletes and coaches.
| Main Theme | Athlete Perspective | Coach Perspective |
|---|---|---|
| Knowledge | Limited knowledge (e.g., not knowing what is right or wrong) | Lack of MC-/HC-specific knowledge and frameworks/guidelines |
| Interpersonal | Not having any, or large enough, MC-related problems | Perceived taboo and respecting athletes’ privacy |
| Structural | Lack of formal or organized discussion forums/education | Lack of formal or organized discussion forums/education |
Figure 2A working model for overcoming barriers to communicating about the female hormonal cycle.