Changes in the objective measures of sleep between the initial nights of menses and the nights during the midfollicular phase of the menstrual cycle in collegiate female athletes.
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ABSTRACT: Study objectives
Sleep is an important recovery period for athletes. Women, including athletes, have reported sleep disturbances around menses. Thus, the aim of this study was to assess the changes in objective sleep parameters in the nights during menses and in the midfollicular phase of the menstrual cycle of young female athletes.Methods
Female collegiate athletes with regular menstrual cycles were recruited. The participants underwent home electroencephalogram monitoring during the first and second nights after the onset of menses (M1 and M2, respectively) and during one night between the 7th and the 10th night after menses onset (midfollicular phase).Results
Data from 45 athletes were analyzed. The total sleep time was significantly reduced, and sleep onset latency was significantly prolonged in M2 compared with those in the night during the midfollicular phase. Sleep efficiency was significantly reduced in M1 compared with that in the night during the midfollicular phase. Changes in the percentage of deep sleep across menstrual cycles differed among the participants with and without menstrual symptoms or concerns for sanitary products; moreover, such participants spent a lower percentage of time in deep sleep in M1 compared with the other nights.Conclusions
Collegiate female athletes with regular menstrual cycles are likely to have trouble falling asleep, tend to sleep less, and when concerned about sanitary products, have less deep sleep during menses. Even in young female athletes with regular menstrual cycles, sleep can be disturbed during menses. Interventions to restore or improve sleep should be considered.
SUBMITTER: Koikawa N
PROVIDER: S-EPMC7953999 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundMenstrual irregularity (MI) is common in female athletes and is a component of the Female Athlete Triad (Triad). Many athletes with the Triad are started on hormonal contraceptives (HC) for MI, but this interferes with the ability to monitor menstrual cycle regularity and can mask other causes of MI. There are limited studies investigating the relationship between MI, HC use, and injury in female collegiate athletes.ObjectiveTo examine the prevalence of and relationship between HC use, MI, and bone stress injuries in female collegiate athletes in the United States.DesignCross-sectional study.SettingOnline survey.Participants1020 U.S. female collegiate athletes (age ≥ 18 years).Methods or interventionsAssessment of risk factors for menstrual irregularity and bone stress injuries was conducted via a one-time survey.Main outcome measuresHC use, MI, history of stress fractures.ResultsCurrent HC use prevalence was 65% (95% confidence interval [CI], 61.9%, 67.8%). Of all athletes, 47% reported past MI. Of the athletes who were not currently using HCs, 32% had current MI. Compared with athletes without past MI, more athletes with past MI reported current HC use (73% vs. 57%) and indicated menstrual cycle consistency as the primary reason for use (24% vs. 4%) (P < .001). Additionally, 25% of athletes reported a history of stress fractures, which was associated with lean/aesthetic sports participation (odds ratio [95% CI]: 1.9 [1.4, 2.5]; P < .001) and less oral contraceptive pill (OCP) use (0.7 [0.5, 1.0]; P = .043). Compared with OCPs, injectable HCs were associated with greater odds of a history of stress fractures (4.5[1.6, 12.3]; P = .004).ConclusionsHC use was prevalent among this cohort of female collegiate athletes, and almost half of the athletes reported past MI. A goal of menstrual cycle regularity was cited by 24% of athletes as a primary reason to use HCs, which shows that more athlete education is needed to avoid masking MI and the Triad with HCs. Further studies elucidating the relationship between HC use, MI, and sports-related injury are warranted.
| S-EPMC8262270 | biostudies-literature
Project description:We examined performance across one menstrual cycle (MC) and 3 weeks of hormonal contraceptives (HC) use to identify whether known fluctuations in estrogen and progesterone/progestin are associated with functional performance changes. National Rugby League Indigenous Women's Academy athletes [n = 11 naturally menstruating (NM), n = 13 using HC] completed performance tests [countermovement jump (CMJ), squat jump (SJ), isometric mid-thigh pull, 20 m sprint, power pass and Stroop test] during three phases of a MC or three weeks of HC usage, confirmed through ovulation tests alongside serum estrogen and progesterone concentrations. MC phase or HC use did not influence jump height, peak force, sprint time, distance thrown or Stroop effect. However, there were small variations in kinetic and kinematic CMJ/SJ outputs. NM athletes produced greater mean concentric power in MC phase four than one [+0.41 W·kg-1 (+16.8%), p = 0.021] during the CMJ, alongside greater impulse at 50 ms at phase one than four [+1.7 N·s (+4.7%), p = 0.031] during the SJ, without differences between tests for HC users. Among NM athletes, estradiol negatively correlated with mean velocity and power (r = -0.44 to -0.50, p < 0.047), progesterone positively correlated with contraction time (r = 0.45, p = 0.045), and both negatively correlated with the rate of force development and impulse (r = -0.45 to -0.64, p < 0.043) during the SJ. During the CMJ, estradiol positively correlated to 200 ms impulse (r = 0.45, p = 0.049) and progesterone to mean power (r = 0.51, p = 0.021). Evidence of changes in testing performance across a MC, or during active HC use, is insufficient to justify "phase-based testing"; however, kinetic or kinematic outputs may be altered in NM athletes.
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Project description:BackgroundThis study aimed to clarify the relationship between the triad risk assessment score and the sports injury rate in 116 female college athletes (average age, 19.8 ± 1.3 years) in seven sports at the national level of competition; 67 were teenagers, and 49 were in their 20s.MethodsThose with menstrual deficiency for >3 months or <6 menses in 12 months were classified as amenorrheic athletes. Low energy availability was defined as adolescent athletes having a body weight <85% of ideal body weight, and for adult athletes in their 20s, a body mass index ≤17.5 kg/m2. Bone mineral density (BMD) was measured on the heel of the right leg using an ultrasonic bone densitometer. Low BMD was defined as a BMD Z-score <-1.0. The total score for each athlete was calculated. The cumulative risk assessment was defined as follows: low risk (a total score of 0-1), moderate risk (2-5), and high risk (6). The injury survey recorded injuries referring to the injury survey items used by the International Olympic Committee.ResultsIn swimming, significantly more athletes were in the low-risk category than in the moderate and high-risk categories (p = 0.004). In long-distance athletics, significantly more athletes were in the moderate-risk category than in the low and high-risk categories (p = 0.004). In the moderate and high-risk categories, significantly more athletes were in the injury group, whereas significantly more athletes in the low-risk category were in the non-injury group (p = 0.01). Significantly more athletes at moderate and high-risk categories had bone stress fractures and bursitis than athletes at low risk (p = 0.023).DiscussionThese results suggest that athletes with relative energy deficiency may have an increased injury risk.
| S-EPMC8034341 | biostudies-literature
Project description:Female athletes who endure intense training are at risk of developing the 'female athlete triad,' making energy intake management crucial. However, the fluctuations in estradiol and progesterone levels throughout the menstrual cycle present a challenge in maintaining consistent energy intake. This study aimed to uncover the underlying factors associated with appetite regulation linked to menstrual phases and exercise using proteomic approach. Five female athletes engaged in 60 min of bicycle exercise, followed by 90 min of rest, during both the follicular and luteal phases. Serum samples were collected before, during, and after exercise, and the serum proteome was analyzed using 2D-gel electrophoresis. A total of 511 spots were detected in the subjects' serum profiles, with significant decreases observed in haptoglobin during the luteal phase and complement component 3 during bicycle training. Unsupervised learning with a generalized estimating equation analysis showed that serum peptide YY (PYY), an appetite suppressor, significantly influenced the fluctuations of serum proteins induced by exercise (p < 0.05). Regression analysis demonstrated a positive correlation between PYY and serum IgM (R = 0.87), implying that the intestinal environment and the immune response in female athletes may contribute to appetite regulation.
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Project description:The ability to predict an individual's menstrual cycle length to a high degree of precision could help female athletes to track their period and tailor their training and nutrition correspondingly. Such individualisation is possible and necessary, given the known inter-individual variation in cycle length. To achieve this, a hybrid predictive model was built using data on 16,524 cycles collected from a sample of 2125 women (mean age 34.38 years, range 18.00-47.10, number of menstrual cycles ranging from 4 to 53). A mixed-effect state-space model was fitted to capture the within-subject temporal correlation, incorporating a Bayesian approach for process forecasting to predict the duration (in days) of the next menstrual cycle. The modelling procedure was split into three steps (1) a time trend component using a random walk with an overdispersion parameter, (2) an autocorrelation component using an autoregressive moving-average model, and (3) a linear predictor to account for covariates (e.g. injury, stomach cramps, training intensity). The inclusion of an overdispersion parameter suggested that [Formula: see text] [Formula: see text] of cycles in the sample were overdispersed. The random walk standard deviation for a non-overdispersed cycle is [Formula: see text] [1.00, 1.09] days while under an overdispersed cycle, the menstrual cycle variance increase in 4.78 [4.57, 5.00] days. To assess the performance and prediction accuracy of the model, each woman's last observation was used as test data. The root mean square error (RMSE), concordance correlation coefficient and Pearson correlation coefficient (r) between the observed and predicted values were calculated. The model had an RMSE of 1.6412 days, a precision of 0.7361 and overall accuracy of 0.9871. In conclusion, the hybrid model presented here is a helpful approach for predicting menstrual cycle length, which in turn can be used to support female athlete wellness.
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Project description:BackgroundEating disorders are serious psychological disorders with long term health impacts. Athletic populations, tend to have higher incidences of eating disorders compared to the general population. Yet there is little known about athletes' eating disorder knowledge and how it relates to their confidence in their knowledge. Therefore, the purpose of our study was to evaluate collegiate female athletes' eating disorder (ED) knowledge and confidence in their knowledge. 51 participants were recruited from a National Association of Intercollegiate Athletics (NAIA) university in the mid-west and asked to complete a 30-question exam assessing one's knowledge of five different categories related to eating disorders. Confidence in the correctness of answers was assessed with a 5-point Likert-scale (1 = very unconfident, 5 = very confident). A one-way ANOVA was used to determine differences between scores on different categories and overall scores. A simple regression analysis was used to determine if confidence or age was predictive in knowledge scores.ResultsThe average score of participants was 69.1%, SD = 10.8% with an average confidence of 3.69/5, SD = 0.33. Athletes scored lowest with regards to Identifying Signs and Symptoms of EDs compared to other sub-scores (p < 0.05). There was no relationship between knowledge and confidence scores.DiscussionThere is limited ED knowledge among collegiate female athletes. This may be problematic as many athletes appear confident in the correctness of their answers despite these low scores. Coaches should be aware of this lack of knowledge and work with clinical practitioners, such as dieticians, team physicians and athletic trainers to educate and monitor their athletes on eating disorders, specifically signs and symptoms.
| S-EPMC6211262 | biostudies-literature
Project description:Women report greater sleep disturbance during the premenstrual phase of the menstrual cycle and during menses. However, the putative hormonal basis of perceived menstrual cycle-related sleep disturbance has not been investigated directly. We examined associations of objective measures of sleep fragmentation with reproductive hormone levels in healthy, premenopausal women.Twenty-seven women with monthly menses had hormone levels measured at two time points during a single menstrual cycle: the follicular phase and the peri-ovulatory to mid-luteal phase. A single night of home polysomnography (PSG) was recorded on the day of the peri-ovulatory/mid-luteal-phase blood draw. Serum progesterone, estradiol, and estrone levels concurrent with PSG and rate of change in progesterone (PROGslope) from the follicular blood draw to PSG were correlated with log-transformed wake after sleep onset (lnWASO%) and number of wakes/hour of sleep (lnWake-Index) using linear regression.Sleep was more fragmented in association with a steeper PROGslope (lnWASO% p=0.016; lnWake-Index p=0.08) and higher concurrent estrone level (lnWASO% p=0.03; lnWake-Index p=0.01), but the effect of estrone on WASO was lost after accounting for PROGslope. WASO% and Wake-Index were not associated with concomitant progesterone or estradiol levels.A steeper rate of rise in progesterone levels from the follicular phase through the mid-luteal phase was associated with significantly greater WASO, establishing a link between reproductive hormone dynamics and sleep fragmentation in the luteal phase of the menstrual cycle.
| S-EPMC4098663 | biostudies-literature
Project description:BackgroundAlthough the link between body dissatisfaction and eating disorder (ED) pathology is well-established in general female samples, less is known about contextual body image (CBI) among female athletes. CBI refers to female athletes' body image concerns in two contexts: sport and daily life. The Contextual Body Image Questionnaire for Athletes (CBIQA) measures four dimensions of body image (Appearance, Thin-Fat Self-Evaluation, Thin-Fat Others' Evaluation, and Muscularity) in both contexts. In a sample of female collegiate athletes, this study sought to A) investigate the psychometric properties of the CBIQA, B) examine the cross-sectional relation of CBI with ED pathology and negative affect, and C) assess the degree to which CBI prospectively predicts ED pathology and negative affect.MethodUsing self-report data collected from a multi-site parent trial, we examined the psychometric properties of the CBIQA by confirmatory factor analysis. We assessed construct and criterion validity via cross-sectional bivariate correlation analyses with thin-ideal internalization, negative affect, and ED pathology. Using data from Time 1 and 6 months later (Time 2), we investigated the degree to which CBI prospectively predicted ED pathology and negative affect.ResultsResults from the CFA largely confirmed de Bruin et al.'s (2011) original factor analysis. Two CBIQA dimensions (Thin-Fat Self and Appearance) in both contexts correlated with ED pathology and negative affect. Thin-Fat Others also correlated with ED pathology in both contexts and negative affect in the sport context. The Muscularity dimension was predominantly orthogonal with other measures. CBIQA dimensions were uncorrelated with thin-ideal internalization. When controlling for BMI and Time 1 scores, daily life and sport appearance concerns predicted ED pathology, whereas perceived evaluation of thin-fat by others in the sport context predicted negative affect 6 months later.ConclusionsResults support the psychometric validity of the CBIQA and suggest that it captures variance discrete from thin-ideal internalization. The Muscularity dimension largely was not related to other outcomes. Further, specific elements of perceived self- and other-evaluation in both contexts is relevant to risk for ED pathology and negative affect. Future research could examine the impact of dual body image between sports seasons and after transitioning out of sport.Clinical trials registrationNCT01735994 .
| S-EPMC8097871 | biostudies-literature