Delayed time to pregnancy and associated factors among pregnant women attending antenatal care in bale zone administrative towns health facilities: multi-center cross-sectional study.

BACKGROUND: The desire to conceive and become parents is a fundamental aspect of human life that carries immense personal, emotional, and societal significance. For many couples, achieving pregnancy represents a long-cherished dream, but the journey to parenthood is not always straightforward. The duration it takes to achieve the desired pregnancy can vary significantly among individuals and is influenced by many factors. This study explores the factors that influence the delayed time of pregnancy among women with naturally planned conception. METHODS: An institutional-based cross-sectional study was conducted from May 1 to May 30, 2023, in public health facilities of Bale Zone administrative towns, Southeast Ethiopia. Using systematic random sampling, 388 women participated in the study and a pretested questionnaire was used to collect data. Bivariate logistic regression was done, and variables with p-values < 0.25 were exported to multivariable logistic regression, and a statistically significant association was declared at p-value < 0.05. RESULTS: The study revealed delayed time to pregnancy was 18.6% with 95% (CI = 14.67-22.44%). Women's age ≥ 35, (AOR = 2.61; 95%, CI: 1.17-5.82), menstrual irregularity (AOR = 3.79; 95% CI: 1.98-7.25), and frequency of sexual intercourse/week (AOR = 2.15; 95% CI: 1.05-4.41) and women's sexual dysfunction before conception (AOR = 3.12, 95% CI: 1.62-6.01) were significantly associated factors with delayed time to pregnancy at p-value < 0.05. CONCLUSION: The study revealed a substantial proportion of delayed time to pregnancy. This delayed time to pregnancy was associated with older maternal age, irregular menstrual cycles, coital activity per week, and the women's sexual dysfunction before pregnancy. Consequently, addressing delayed time to pregnancy requires a targeted approach, prioritizing initiatives such as raising awareness, fostering increased frequency of sexual activity per week, exploring interventions for women with irregular menstrual patterns, and challenges related to sexual dysfunction.

Association between COVID-19 Vaccines and Menstrual Disorders: Retrospective Cohort Study of Women Aged 12-55 Years Old in Catalonia, Spain.

During the rapid development of COVID-19 vaccines, concerns emerged about potential adverse effects on menstrual health. This study examines the association between COVID-19 vaccination-considering the number of doses and vaccine type-and menstrual disorders, specifically heavy menstrual bleeding (HMB) and amenorrhea (AM). Utilizing electronic health records from the Sistema d'Informació per al Desenvolupament de la Investigació en Atenció Primària (SIDIAP) database in Catalonia, Spain, the retrospective cohort included 1,172,621 vaccinated women aged 12-55 with no prior menstrual disorders observed from 27 December 2020 to 30 June 2023. The incidence rate of HMB and AM increased with the second and third doses of the vaccine. Notably, the AstraZeneca® and Janssen® vaccines were associated with higher odds of HMB (OR: 1.765, CI: 1.527-2.033; OR: 2.155, CI: 1.873-2.476, respectively) and AM (OR: 1.623, CI: 1.416-1.854; OR: 1.989, CI: 1.740-2.269, respectively) from the first to the second dose compared to Pfizer/BioNTech®. Conversely, the Moderna® vaccine appeared to offer a protective effect against HMB (OR: 0.852, CI: 0.771-0.939) and AM (OR: 0.861, CI: 0.790-0.937) between the second and third doses. These results were adjusted for potential confounders, such as age, previous COVID-19 infection, and other relevant covariates.

The relationship between dietary habits and menstruation problems in women: a cross-sectional study.

BACKGROUND: Nutrition is important to the management and relief of the symptoms in menstrual disorders. This study aims to investigate the relationship between menstrual disorders and specific foods and nutrient intake in women. METHODS: Five-hundred-nine menstruating women participated in the study. The questionnaire form was created by the researchers via Google Forms and distributed in online applications (WhatsApp, Instagram etc.). The questionnaire consists of 5 sections, including demographic data, declared anthropometric measurements (height (m or cm), weight (g or kg)), questions about eating habits, menstruation status, and 24-hour food consumption. Statistical analysis was made with SPSS 23; nutrient analysis of food consumption was made using BeBiS 9.0. RESULTS: It was found that the body mass index (BMI) of healthy participants was higher than women with menstrual disorders. Women with menstrual disorders have lower intake of protein, vitamin K, vitamin B3, vitamin B5 and sodium compared with healthy women. All participants have a higher intake of vitamin B3, sodium, phosphorus, and manganese, and have a lower intake of other nutrients compared with the national adequate intake. CONCLUSION: Our findings showed that women with menstrual disorders consume more high-sugar food/beverages and have inadequate nutrients intake.

Anxiety, eating disorders and menstrual disturbances risk in Spanish elite female paddlers.

Affiliated athletes are frequently subject to higher levels of anxiety due to the intensity of training, competition and many other factors. This anxiety can cause alterations in their health, both physically and mentally, such as menstrual irregularities, eating disorders, etc. In this work we have analysed the anxiety levels of a population of female affiliated paddlers and the possible consequences for their health. The results showed that a third of the female paddlers analysed have a moderate/high risk of suffering from anxiety; and within this group, the less sporting experience the athlete has, the greater the probability is of suffering from anxiety. Moreover, almost half the total of the female paddlers suffers from menstrual dysfunction before an important competition, with this number rising among high performance athletes, even though three out of every four adjust their training schedule to their menstrual cycle. Less-experienced female athletes, who show higher anxiety levels, also present a greater risk of suffering from eating disorders.

Anti-COVID-19 Vaccination Alters the Menstrual Cycle and Dose Accumulation Enhances the Effect.

Background and Objectives: New investigations have detected an enhanced probability for women to develop menstrual cycle alterations after anti-COVID-19 vaccination. Moreover, given that the protective immunity provided by anti-COVID-19 vaccination appears to wane quickly, booster vaccination has been recommended. Nonetheless, whether adverse events arise from such repeated immunization has not been studied. Materials and Methods: We studied the incidence of menstrual cycle alterations, the quantity of menstrual cycle alterations per subject, and of altered menstrual cycles in nonpregnant women of fertile age after anti-COVID-19 vaccination in a cohort of vaccinated female subjects by the means of a standardized questionary that was applied via telephone calls each month. Subjects that received up to four doses were studied for 6 months after each dose. We calculated the odds ratio for enhanced incidence, as well as quadratic functions for the tendencies. A sensitivity analysis excluding subjects taking hormonal birth control and those with polycystic ovary syndrome was performed. Results: Anti-COVID-19 vaccination enhanced the probability to develop menstrual cycle alterations (OR 1.52, CI at 95% 1.2-1.8, p < 0.0001) and, interestingly, such a tendency was enhanced when subjects received more doses (R2 = 0.91). Furthermore, the same trends repeated for the quantity of alterations per subject, and of altered cycles. Such an effect was further demonstrated to be independent upon the vaccine brand being applied, the birth control status, and the diagnosis of polycystic ovary syndrome. Conclusions: Vaccination is the most cost-effective measure for primary prevention and is considered to be safe. Nonetheless, in this article, we show data that suggest that repeated vaccination of adult female subjects may lead to an enhanced incidence of menstrual cycle-related adverse events, quantity of alterations per subject, and altered cycles. We therefore think that the development of new vaccine formulations that produce longer-lasting immunity is of paramount importance to reduce the potential for dose accumulation-dependent enhanced risk.

Evaluation of menstrual irregularities following COVID-19 infection or vaccination: The impact of COVID anxiety and associated risk factors.

There has been significant interest in the changes in menstrual cycles following coronavirus disease 2019 (COVID-19) infection or vaccination. This study aimed to investigate the evidence for such changes and their potential risk factors. We used a descriptive study design and gathered data by sharing an online survey questionnaire on social media platforms. The questionnaire included questions regarding sociodemographic factors, menstrual cycle changes, and COVID-19 anxiety. The study population comprised women aged 18 to 49 years from Izmir. All data analyses were performed using Statistical Package for the Social Sciences 21.0. The risk factors influencing menstrual irregularities were determined after the COVID binary logistic regression analysis, including univariate and multivariate models. Among the 465 participants, those with an associate's degree had a significantly higher risk of menstrual irregularities than those with a high school diploma (P = .012). Anxiety scores emerged as a significant risk factor for menstrual cycle irregularities (P = .026). However, neither COVID-19 infection nor vaccination resulted in significant changes in the menstrual cycle characteristics (P > .05). Other sociodemographic variables, such as age, body mass index, and smoking, were not significantly associated with menstrual cycle changes(P > .05). The study findings suggest that educational level and anxiety may play a role in menstrual irregularities, whereas COVID-19 infection or vaccination itself may not directly affect menstrual cycle.

Association of severity of menstrual dysfunction with cardiometabolic risk markers among women with polycystic ovary syndrome.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is associated with a wide range of unfavorable cardiometabolic risk factors, including obesity, hypertension, insulin resistance, impaired glucose metabolism, dyslipidemia, and metabolic syndrome. Compared with women with regular menstrual cycles, women with a history of irregular menstrual periods have an increased unfavorable cardiometabolic risk. Recently, the association between the severity of oligomenorrhea and hyperinsulinemia and insulin resistance has been demonstrated. However, evidence linking the severity of menstrual cyclicity with cardiometabolic risk in PCOS women is scarce. MATERIAL AND METHODS: This work was a prospective cross-sectional study. A total of 154 women diagnosed with PCOS by the Rotterdam criteria were recruited from July 2021 to September 2022. PCOS women with eumenorrheic (eumeno group), oligomenorrhea (oligo group), and amenorrhea (ameno group) underwent history and physical examination, gonadal steroid hormone measurement, lipid profile, oral glucose tolerance test, and homeostasis model assessment of insulin resistance. RESULTS: A trend toward an increase in unfavorable cardiometabolic risk markers including obesity, hypertension, prevalence of insulin resistance, prediabetes, dyslipidemia, and metabolic syndrome was observed in the ameno group (n = 57) as compared with the eumeno (n = 24) or oligo group (n = 73). A higher prevalence of insulin resistance (odds ratio [OR]: 3.02; 95% confidence interval [CI]: 1.03-8.81) and prediabetes (OR: 3.94; 95% CI: 1.01-15.40) was observed in the ameno group than in the eumeno group, and a higher proportion of dyslipidemia (OR: 2.44; 95% CI: 1.16-5.15) was observed in the ameno group than in the oligo group in the binary logistic regression analysis after adjusting for confounding factors. CONCLUSIONS: PCOS women with amenorrhea show a higher prevalence of insulin resistance, prediabetes, and dyslipidemia compared with those with oligomenorrhea or eumenorrhea. The severity of menstrual dysfunction could be used as a readily obtainable marker for the identification of PCOS women at greatest risk of cardiometabolic diseases.

Factors influencing menstrual regularity among female workers: a cross-sectional analysis study.

BACKGROUND: Regularity of menstrual cycles is an important indicator of women's health and fertility, and female workers are exposed to several factors, such as sleep disorders, stress, and shift work, that affect their menstrual regularity. This makes it necessary to comprehensively identify the determinants of menstrual regularity. Therefore, this study identified the factors affecting menstrual regularity among female workers from physiological, psychological, and situational dimensions based on the theory of unpleasant symptoms. METHODS: This was a secondary analysis of the 2010-2012 Korea National Health and Nutrition Examination Survey and utilized the data of 2418 female workers. Based on the theory of unpleasant symptoms, physiological factors included age, age at menarche, childbirth experience, body mass index, and sleep duration. Psychological factors included stress level, depressive mood, and suicidal ideation. Situational factors included education level, household income, consumption of alcohol, engagement in smoking, and work schedule. The χ²-test and hierarchical logistic regression analysis were performed, reflecting the complex sample design. RESULTS: Age at menarche, childbirth experience, and body mass index among physiological factors and education level and work schedule among situational factors were found to be related to menstrual regularity. A higher risk of menstrual irregularities was found among those who had given birth (versus those who had not), had a high age at menarche (versus those with a low age at menarche), were obese (versus those who had a normal body mass index), had elementary school-level or lesser educational achievements (versus those with college graduate-level or higher educational achievements), and who had a shift work schedule (versus those with a fixed schedule). CONCLUSIONS: Intervention is needed for female workers who have these risk factors, and special attention must be paid to female workers who have a shift work schedule. Additionally, since body mass index can be controlled, intervention concerning body mass index is necessary to reduce menstrual irregularity.

Effect of COVID-19 vaccination on menstrual cycle irregularities among females: A cross-sectional study in Pakistan.

This study was aimed to assess the type and severity of COVID vaccine-induced menstrual disorders and also to investigate the risk factors for menstrual changes following COVID-19 vaccination in Pakistani females. A cross-sectional survey-based study was conducted in females between 12 -70 years of age from February to July 2022. The survey was conducted via in-person interviews as well as via social media. The data was analyzed using standard descriptive statistical parameters, the sociodemographic and clinical features were evaluated and reported as frequencies (percentages). The study comprised a total of 1023 female subjects. Approximately 36.9% of women reported menstrual abnormalities following immunization, with 30.5% experiencing them following their second dose. However, in majority of these women (21%) the symptoms were resolved after 3 months of irregularity. Vaccine type significantly influenced the incidence of menstrual disorders (p <0.001) which were linked to Pfizer-Biontech, Sinopahrm, Sinovac, Moderna at rates of 14.9%, 9.5%, 4.7% and 2.7%, respectively. Both AstraZeneca and Moderna were implicated in postmenopausal bleeding (1.6% and 0.8%, respectively). The study showed that females receiving COVID-19 vaccines experienced menstrual irregularities such as short duration of periods, decreased volume of bleeding, and frequent menstrual cycles. However, the symptoms were temporary and self-limiting.

Irregular Cycles, Ovulatory Disorders, and Cardiometabolic Conditions in a US-Based Digital Cohort.

Importance: Polycystic ovary syndrome (PCOS), characterized by irregular menstrual cycles and hyperandrogenism, is a common ovulatory disorder. Having an irregular cycle is a potential marker for cardiometabolic conditions, but data are limited on whether the associations differ by PCOS status or potential interventions. Objective: To evaluate the association of PCOS, time to regularity since menarche (adolescence), and irregular cycles (adulthood) with cardiometabolic conditions. Design, Setting, and Participants: This cross-sectional study used a large, US-based digital cohort of users of the Apple Research application on their iPhone. Eligibility criteria were having ever menstruated, living in the US, being at age of consent of at least 18 years (or 19 years in Alabama and Nebraska or 21 years in Puerto Rico), and being able to communicate in English. Participants were enrolled between November 14, 2019, and December 13, 2022, and completed relevant surveys. Exposures: Self-reported PCOS diagnosis, prolonged time to regularity (not spontaneously establishing regularity within 5 years of menarche), and irregular cycles. Main Outcomes and Measures: The primary outcome was self-reported cardiometabolic conditions, including obesity, prediabetes, type 1 and 2 diabetes, high cholesterol, hypertension, metabolic syndrome, arrhythmia, congestive heart failure, coronary artery disease, heart attack, heart valve disease, stroke, transient ischemic attack (TIA), deep vein thrombosis, and pulmonary embolism measured using descriptive statistics and logistic regression to estimate prevalence odds ratios (PORs) and 95% CIs. Effect modification by lifestyle factors was also estimated. Results: The study sample (N = 60 789) had a mean (SD) age of 34.5 (11.1) years, with 12.3% having PCOS and 26.3% having prolonged time to regularity. Among a subset of 25 399 participants who completed the hormonal symptoms survey, 25.6% reported irregular cycles. In covariate-adjusted logistic regression models, PCOS was associated with a higher prevalence of all metabolic and several cardiovascular conditions, eg, arrhythmia (POR, 1.37; 95% CI, 1.20-1.55), coronary artery disease (POR, 2.92; 95% CI, 1.95-4.29), heart attack (POR, 1.79; 95% CI, 1.23-2.54), and stroke (POR, 1.66; 95% CI, 1.21-2.24). Among participants without PCOS, prolonged time to regularity was associated with type 2 diabetes (POR, 1.24; 95% CI, 1.05-1.46), hypertension (POR, 1.09; 95% CI, 1.01-1.19), arrhythmia (POR, 1.20; 95% CI, 1.06-1.35), and TIA (POR, 1.33; 95% CI, 1.01-1.73), and having irregular cycles was associated with type 2 diabetes (POR, 1.36; 95% CI, 1.08-1.69), high cholesterol (POR, 1.17; 95% CI, 1.05-1.30), arrhythmia (POR, 1.21; 95% CI, 1.02-1.43), and TIA (POR, 1.56; 95% CI, 1.06-2.26). Some of these associations were modified by high vs low body mass index or low vs high physical activity. Conclusions and Relevance: These findings suggest that PCOS and irregular cycles may be independent markers for cardiometabolic conditions. Early screening and intervention among individuals with irregular menstrual cycles may be beneficial.

Menstrual Cycle Characteristics of U. S. Adolescents According to Gynecologic Age and Age at Menarche.

STUDY OBJECTIVE: To characterize typical menstrual cycle characteristics in adolescents and determine how these differ with age at menarche or years since menarche (gynecologic age). METHODS: We surveyed 13 to 18-year-old U.S. users of the Clue app (N = 6,486) and linked their responses to app-recorded cycle data (N=38,916 cycles). We analyzed cycle characteristics including cycle length, cycle variability, period length, experience of heavy flow, and dysmenorrhea in relation to gynecologic age and menarcheal age using mixed effects models. RESULTS: With increasing gynecologic age, we observed dose-dependent associations of lower odds of cycle irregularity (defined as cycles that were highly variable, short, or long) and higher odds of reporting ≥1 day of heavy flow. Individuals <1 year post-menarche had lower odds of heavy flow (Odds Ratio (OR) = 0.3; 95% confidence interval (CI): 0.1, 0.6), and increased odds of having a highly variable cycle (OR = 2.6; 95% CI: 1.3, 5.2) or short cycles (OR = 5.0; 95% CI: 2.3, 11.0) compared to those who were 6+ years post-menarche. We also found associations with early and late age at menarche. Compared to menarcheal age of 14+ years, menarcheal age ≤10 years was associated with shorter cycle length (ß = -1.63 days; 95% CI: -2.51, -0.75), increased odds of dysmenorrhea (OR = 3.2; 95% CI: 2.3, 4.6), and decreased odds of high cycle variability (OR = 0.8; 95% CI: 0.6, 1.0). CONCLUSION: Cycle characteristics in adolescence are associated with menarcheal age and gynecologic age. Notably, highly variable cycles are common, especially among those with younger gynecologic age or older menarcheal age.

Determinants of menstrual dysfunction in the female athlete triad: A cross-sectional study in Italian athletes.

BACKGROUND: In 1992 the American College of Sports Medicine first described the Female Athlete Triad. The Triad is a metabolic injury involving three distinct clinical traits: low energy availability, with possible eating disorder, low bone mineral density and menstrual dysfunction (MD). Although the estimated prevalence of the Triad is low (1.2 %), single factors are common in female athletes, at all competitive levels and ages. Even though the Triad was described over two decades ago, the interrelation of the three diagnostics components is still debated: additional evidence is required to improve the multidisciplinary treatment approach for this complex condition. MD is one of the first signs of energy impairment. The present study aims at investigating MD determinants and predictors in female athletes, to allow an early diagnosis of the Triad and to implement adequate preventive strategies. MATERIALS AND METHODS: An original structured questionnaire was composed to detect the presence of MD risk factors. Included participants were active female athletes within reproductive age range (15-40 years old). Anthropometric parameters and training-related factors, possibly affecting the regularity of the menstrual cycle, were investigated. RESULTS: Respondents were 288 female athletes. Among them, 73.3 % were under 25 years of age; 6.6 % resulted underweight; 30.6 % reported to follow a meal plan/diet and 13.9 % declared to be a smoker. Lean sports were practiced by 30.6 % of responders. Body-weight congruence was detected in in 79.9 % of participants, whereas overestimation of body image was found in 16.3 % of athletes. Irregular menstrual cycle, a possible MD predictor, was present in 33.0 % of athletes, with 41.1 % practicing some lean sport (p = 0.007). Also, overestimation of body image suggested an increased risk of menstrual irregularity (p = 0.001). BMI <18.5 or BMI >30 could also act as risk factor, although significance was not fully obtained (p = 0.053). Overall, practice of lean sports and overestimation of body image appeared good determinants of increased menstrual irregularity (AOR 2.02 and 3.83, respectively). CONCLUSIONS: Menstrual irregularity in female athletes can be considered an early predictor of MD: risk is further increased in athletes of lean sports and reporting an overestimation of self-perceived body image. Screenings and awareness programs should specifically address female athletes, because of their vulnerable-group profile. In order to define a standardized at-risk profile for Triad onset and sequelae likelihood, evaluation of menstrual regularity should especially be considered, in conjunction with the assessment of other indicators of energy availability (e.g. TEE, lean and fat mass, BMC). Testing for sport-derived stress and disordered eating attitudes is also recommended. Preventive strategy should involve the proactive engagement of sport clubs and periodic competitive sport medical assessment.

Do we want to know the enormity of women's severe menstrual disorders and chronic pelvic pain?

OBJECTIVE: The purpose of this paper is to call for a nationwide study to assess the prevalence and incidence of women health problems related to menstrual disorders and severe pelvic pain. RATIONALE: The exact prevalence and incidence of endometriosis, adenomyosis, severe painful menstrual disorders, and of severe chronic pelvic pain are unknown. These issues severely impact women's quality of life and represent huge costs for our societies. Using adapted questionnaires, recent progresses in diagnosis and increased fundings announced by politicians, we can and should change this situation by performing a nationwide study to assess prevalence and incidence of these women problems in the French general population. The huge, anticipated costs of this study do appear quite reasonable when accounting for the enormous costs and societal consequences of endometriosis, menstrual disorders and severe pelvic pain. CONCLUSION: These long-awaited data will improve our understanding of the causes, consequences, and natural history of endometriosis. These data will allow women to better understand that pain is not always related to endometriosis, thus preventing unjustified fears. Physicians will be able to adapt and improve medical managements, particularly the diagnosis. Politicians will have the tools to improve women's health and gender equality.

Association between Covishield vaccine and menstrual disturbance. Findings from a cross-sectional study among participants of Zero TB cohort in India.

BACKGROUND: The association between covid-19 vaccine and menstrual disturbance is unclear. METHODS: An in-person cross-sectional survey among female members ≥ 18 years enrolled in an ongoing Zero TB prospective cohort in Northern India who had received one or two doses of covid-19 vaccine was conducted to study the characteristics and association of menstrual disturbance within six months of receiving Covishield. RESULTS: Between June 29 and September 5, 2021, 339 females ≥ 18 years of age were administered the survey. Median age was 30 (IQR: 22-39) years; 84 % were between 18 and 49 and 16 % were ≥ 50 years old. There were 152 college students, 27 healthcare workers, and 160 nuns. Forty-two women (12 %) had received one dose and 297 (88 %) had received two doses of Covishield. Overall, 66 (20 %) women reported experiencing menstrual disturbance after receiving Covishield vaccine. The problems included early menstruation: 6 % (n = 19/339); late menstruation: 4 % (n = 14/339); and heavier bleeding: 5 % (n = 17/339). Disturbances lasted for less than seven days and cycles normalized in 1-3 months. There was no post-menopausal bleeding. There was no significant difference in menstrual disturbance based on receiving one vs. two doses of Covishield (OR: 1.58; 95 % CI: 0.55-4.57; p = 0.381). History of SARS-CoV-2 infection was not associated with the development of menstrual disturbance among the vaccinees (OR: 0.63; 95 % CI: 0.24-1.73; p = 0.379). Presence of emotional disturbance at baseline (OR: 31; 95 % CI: 3.52-267; p = 0.002) or previous history of dysmenorrhea (OR: 41; 95 % CI: 8.7-196; p < 0.001) was associated with menstrual disturbance in the vaccinees, indicating their potential to confound or bias study results. CONCLUSION: Menstrual problems were reported by Covishield vaccinees, but they were minor and reversible within three months and do not constitute a ground for vaccine hesitancy. Studies designed to assess causal link taking care to avoid selection bias or confounding are needed.

The prevalence of menstrual cycle symptoms and their association with mental health and sleep in German exercising women and athletes.

OBJECTIVES: Menstrual cycle symptoms are very common in female athletes. However, more evidence about the association between menstrual cycle characteristics and symptoms with sleep and mental health in athletes needs to be gathered. This study aimed to examine this association in German exercising women and athletes. DESIGN: 322 women (mean age: 23.13 ±â€¯4.36) participated in a cross-sectional study. The survey included the Menstrual Symptom index (MSi), the Depression Anxiety Stress Scales (DASS-21), the Pittsburgh Sleep Quality Index (PSQI), and the Athletes Sleep Behavior Questionnaire (ASBQ). Additionally, demographic, sport-specific data and further menstrual cycle characteristics were examined. Multiple regression models were used for the statistical analyses. RESULTS: The MSi score demonstrated a highly significant (p < 0.001) positive association with Depression, Anxiety, Stress, PSQI, and ASBQ. The most prevalent menstrual cycle symptoms were cravings/increased appetite, mood changes/anxiety, and tiredness/fatigue. A difference between individual and team sport athletes could not be found. Moreover, there was no association between the constructs and menses length, irregularity, or heaviness of bleeding. CONCLUSIONS: Menstrual cycle symptoms occur very frequently in female athletes. In this study, they were related to mental health, sleep quality, and sleep behavior, regardless of the cycle phase. This evidence demonstrates the relevance of considering the menstrual cycle and menstrual symptoms in future studies with female athletes and in sport practice.

Inconsistencies in the perceived impact of the menstrual cycle on sport performance and in the prevalence of menstrual cycle symptoms: A scoping review of the literature.

OBJECTIVES: This scoping review aimed to summarize the findings of studies regarding the perceived impact of the menstrual cycle on athletic performance, as well as the prevalence of negative menstrual cycle symptoms. DESIGN: Scoping review. METHODS: Three databases were searched and the Preferred Reporting Items for Systematic reviews and Meta Analyses extension for Scoping Reviews (PRISMA-ScR) was used as guidance. RESULTS: A total of 39 studies were included in the final analysis. Between 2.8 and 100 % of athletes reported their performance being negatively impacted by their menstrual cycle, and the main reason was the occurrence of menstrual cycle symptoms. Additionally, a large variability in the prevalence of menstrual cycle symptoms was reported in the different studies mainly due to methodological differences and recall biases. CONCLUSIONS: Similarly, as to what has been reported in reviews summarizing performance outcomes during different menstrual cycle phases, this review highlights the high degree of variability between how athletes perceive to be impacted by their menstrual/hormonal contraceptive cycle. REGISTRATION: The protocol of this scoping review was registered at the Open Science Framework on 14 September 2023 (osf.io/efu9x).

Associations between psychological distress in adolescence and menstrual symptoms across life: Longitudinal evidence from the 1970 British Cohort Study.

PURPOSE: This study aimed to investigate the association between psychological distress (PD) at age 16 and menstrual symptoms experienced across women's life. METHODS: Up to 2584 females from the 1970 British Cohort Study, a study of individuals born within one week in 1970, were included. PD at age 16 was measured with the 12-item General Health Questionnaire. Three categories were derived: low PD (<11), moderate PD (11-15), and severe PD (>15). Five menstrual health symptoms were self-reported at each age (16, 30 and 42 years). Binomial logistic regressions examined associations between PD at age 16 and each individual symptom, adjusted for age of menarche, sleep and appetite problems, physical activity levels and socioeconomic position. RESULTS: The most prevalent symptoms were "pain" (61 %), "painful period" (10 %) and "heavy period" (33 %) at ages 16, 30 and 42, respectively. At age 16, those with severe PD were more likely to experience depression (OR: 2.92; 95% CI: 2.31, 3.70)), irritability (1.67; 1.33, 2.11), menstrual pain (1.34; 1.01, 1.80), and headaches (1.29; 1.02, 1.63). A weak association was found between severe PD at age 16 and pre-menstrual tension at age 30 (1.72; 1.01, 2.83). At age 42, those with severe PD at age 16 were more likely to experience pre-menstrual tension (1.89; 1.46, 2.44), painful periods (1.64; 1.27, 2.11), and heavy periods (1.28; 1.00, 1.62). DISCUSSION: Menstruating females with higher levels of PD in adolescence have an increased risk of menstrual symptoms across adolescence, early and mid-adulthood. Our findings suggest the need to consider early-life psychological interventions to improve women's menstrual experiences across their reproductive years.

The impact of "long COVID" on menstruation in Chinese female college students and the intervention of acupuncture.

This study aimed to explore the potential application value of acupuncture in alleviating the impact of long COVID on women's menstrual cycles, by investigating the occurrence of long COVID among female college students, its effects on menstruation, and the intervention of acupuncture. This cross-sectional study surveyed female college students with a history of coronavirus disease 2019 (COVID-19) before April 10, 2023. A questionnaire was used to analyze demographic characteristics, post-COVID sequelaes, duration of symptoms, and treatments received during that period. Among the 731 participants enrolled in the survey, 468 were female undergraduate students who met the analysis criteria. Among them, 85 individuals fit the definition of "Long COVID" (18.16%). Within the group of patients with long COVID, 69 individuals experienced changes in their overall menstrual patterns compared to the 6 months prior to contracting the novel coronavirus (81.18%). Additionally, 17 individuals opted for acupuncture treatment following the onset of COVID-19 (20.00%), which resulted in less impact on their menstrual cycle (41.18% vs 64.71% without receiving acupuncture, OR = 2.62), menstrual period duration (41.18% vs 64.71%, OR = 2.62), menstrual flow (47.06% vs 69.18%, OR = 2.52), and the color of menstrual blood (41.18% vs 63.24%, OR = 2.46) among these patients. Long COVID had a certain impact on menstruation. Acupuncture potentially alleviates the clinical symptoms of long COVID and reduces its impact on women's menstrual cycle, thus having potential therapeutic value in the treatment of long COVID.

Association between Physical Activity and Menstrual Cycle Disorders in Young Athletes.

Our study aims to evaluate clinical predictors of menstrual cycle disorders in female athletes who compete in running disciplines. This is a prospective observational study. Women were recruited between January and May 2022. Fifty-three patients were enrolled and completed a questionnaire about menstrual cycle, physical activity, and food habit characteristics. Of the women in our population, 39.6% had menstrual irregularities and reported a significantly higher number of kilometers run per week (67 vs. 35, p:0.02). The number of kilometers run per week was associated with menstrual irregularities (for 10 km, OR 1.35; IC95% 1.05-1.73; p: 0.02) after adjusting for BMI, age, level of sport and caloric intake. The variable of "km run per week" appeared as a diagnostic indicator of irregular menstrual cycle with statistical significance (AUC ROC curve 0.71, IC95% 0.54-0.86, p-value=0.01) and the cut-off of 65 km run per week is a good indicator of the presence of irregular menstrual cycle (sensitivity (SE) and specificity (SP) of 55% and 81.48%). Menstrual cycle disorders are very frequent in female athletes, and the variable of km run per week may play a role in screening endurance athletes at high risk for these disorders.

Menstrual characteristics and associations with sociodemographic factors and self-rated health in Spain: a cross-sectional study.

BACKGROUND: Evidence on how menstrual characteristics may differ based on socioeconomic factors and self-rated health is significantly scarce. The main aim of this study was to investigate the associations between menstrual characteristics, sociodemographic factors and self-rated health among women and people who menstruate (PWM) aged 18-55 in Spain. METHODS: This cross-sectional study includes data from an online survey collected in March-July 2021 across Spain. Descriptive statistical analyses and multivariate logistic regression models were performed. RESULTS: The analyses included a total of 19,358 women and PWM. Mean age at menarche was 12.4 (SD = 1.5). While 20.3% of our participants experienced a menstrual abundance over 80 ml, 64.1% reported having menstrual blood clots; 6.4% menstruated for longer than 7 days. 17.0% had menstrual cycles that were shorter than 21 days or longer than 35 days. Reports of moderate (46.3%) and high (22.7%) intensity menstrual pain were common. 68.2% of our participants experienced premenstrual symptoms in all or most cycles. The odds for lighter menstrual flow, shorter bleeding days and menstrual cycles were higher as age increased, and amongst participants with less educational attainment. Caregivers presented higher odds for abundant menstrual flow and longer menstruations. Reporting financial constraints and a poorer self-rated health were risk factors for abundant menstrual flow, menstrual blood clots, shorter/longer menstruations and menstrual cycles, premenstrual symptoms, moderate and intense menstrual pain. CONCLUSIONS: This study suggests that age, educational attainment, caregiving, experiencing financial hardship and a poorer self-rated health may shape or mediate menstrual characteristics. It thus highlights the need to investigate and address social inequities of health in menstrual research.