| Literature DB >> 31269938 |
Joanna Witkoś1, Piotr Wróbel2.
Abstract
BACKGROUND: Rigorous exercise undertaken by young girls, combined with a negative energetic balance, is related to substantial physiological changes in a competitor's body, often leading to hormonal imbalance manifested by: delayed puberty, delayed menstruation, menstrual disorders, and even long-term secondary amenorrhoea. Very lean competitors, with insufficient body fat content, are not capable of maintaining oestrogen production at an optimal level, which results in hypothalamic-pituitary-gonadal axis abnormalities and menstrual disorders. Studies involving research on menstrual disorders in amateur dancers are scarce. Therefore, the aim of the study was to investigate whether menstrual disorders are present among young amateur dancers.Entities:
Keywords: Amateur; Dancers; Menstrual disorders
Mesh:
Year: 2019 PMID: 31269938 PMCID: PMC6609389 DOI: 10.1186/s12905-019-0779-1
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.809
Menstrual disorders occurring in surveyed dancers following a period of regular menstrual cycles
| normal menstrual cycles | the absence of a menstrual period | less than 3 months | between 3 and 6 months | over 6 months |
|---|---|---|---|---|
| 101 (43.3) | 132 (56.7%) | 105 (79.5%) | 18 (13.6%) | 9 (6.9%) |
The correlation between the occurrence of menstrual disorders and years of training, number of training sessions per week and current body weight
| Predictors | B | Wald test |
| OR | 95% PU for OR | |
|---|---|---|---|---|---|---|
| Bottom | Top | |||||
| Years of training | .02 | 0.26 | .610 | 1.02 | .95 | 1.10 |
| Training sessions per week | .14 | 6.56 | .010 | 1.15 | 1.03 | 1.28 |
| Body weight | −.02 | 1.9 | .168 | 0.98 | .94 | 1.01 |
| Constant | .95 | 0.81 | .367 | 2.59 | ||
Nagelkerke’s R: 0.06
The correlation between the length of break in regular menstruation and years of training, the number of training sessions per week and current body weight
| Predictors |
|
|
| variance % |
|
|
|---|---|---|---|---|---|---|
| Constant | 1.36 | 3.70 | < .001 | |||
| Years of training | .01 | .07 | .06 | .40 | .99 | .321 |
| Training sessions per week | .04 | .15 | .14 | 1.94 | 2.18 | .030 |
| Body weight | .00 | .02 | .02 | .02 | .25 | .806 |
B: partial regression coefficient
Beta: partial standardised regression coefficient
r semi-partial correlation coefficient
% variance: percent of variance of dependent variable, explained by a given predictor (calculated as squared semi-partial correlation multiplied by 100%)
t: value of Student’s t statistics
p: probability level
The correlation between the occurrence of breakthrough bleedings and years of training and their intensity in a week
| Predictors | B | Wald test |
| OR | 95% PU for OR | |
|---|---|---|---|---|---|---|
| Bottom | Top | |||||
| Years of training | .05 | 1.11 | .292 | 1.05 | .96 | 1.15 |
| Number of training sessions per week | .10 | 2.85 | .091 | 1.10 | .98 | 1.24 |
| Constant | −2.32 | 32.36 | < .001 | .10 | ||
Nagelkerke’s R 0.04