Prevalence and correlates of diagnosed and probable polycystic ovary syndrome (PCOS) in a cohort of parous women.

OBJECTIVES: To assess correlates of diagnosed and probable polycystic ovary syndrome (PCOS) among parous women. METHODS: This study includes 557 women recruited from multi-specialty clinics in eastern Massachusetts. We categorized women as "diagnosed PCOS" based on medical records and self-reported clinician-diagnoses. Next, we constructed a category of "probable PCOS" for women without a diagnosis but with ≥2 of the following: ovulatory dysfunction (cycle length<21 or ≥35 days), hyperandrogenism (free testosterone>75th percentile), or elevated anti-Müllerian hormone (>75th percentile). We classified the remaining as "no PCOS," and compared characteristics across groups. RESULTS: 9.7% had diagnosed and 9.2% had probable PCOS. The frequency of irregular cycles was similar for diagnosed and probable PCOS. Free testosterone and AMH were higher for probable than diagnosed PCOS. Frequency of irregular cycles and both hormones were higher for the two PCOS groups vs. the no PCOS group. Obesity prevalence for diagnosed PCOS was twice that of probable PCOS (43.9% vs. 19.6%), yet the two groups had similar HbA1c and adiponectin. CONCLUSIONS: Women with probable PCOS are leaner but have comparable glycemic traits to those with a formal diagnosis, highlighting the importance of assessing biochemical profiles among women with irregular cycles, even in the absence of overweight/obesity.

Vaginal microbiome differences between patients with adenomyosis with different menstrual cycles and healthy controls.

BACKGROUND: Adenomyosis is a commonly observed benign gynecological disease that affects the quality of life and social psychology of women of childbearing age. However, because of the unknown etiology and incidence of adenomyosis, its pathophysiological mechanism remains unclear; further, because no noninvasive, accurate, and individualized diagnostic methods are available, treatment and efficacy evaluations are limited. Notably, the interaction between the changes in the microecological environment of the female reproductive tract and human immunity, endocrine, and other links leads to the occurrence and development of diseases. In addition, the vaginal microbiome differs in different menstrual cycles; therefore, assessing the differences between the microbiomes of patients with adenomyosis and healthy individuals in different menstrual cycles will improve the understanding of the disease and provide references for the search for noninvasive diagnosis and individualized precision treatment of adenomyosis. This study aimed to explored the data of individuals in different menstrual cycles. RESULTS: Differences in the vaginal microbiome between patients with adenomyosis and healthy individuals were observed. At phylum level, the relative abundance of Firmicutes in the adenomyosis group was higher than that in the control group, which contributed the most to the species difference between the two groups. At the genus level, Lactobacillus was the most dominant in both groups, Alpha-diversity analysis showed significant differences in the adenomyosis and control group during luteal phase (Shannon index, p = 0.0087; Simpson index, p = 0.0056). Beta-diversity index was significantly different between the two groups (p = 0.018). However, based on Weighted Unifrac analysis, significant differences were only observed throughout the luteal phase (p = 0.0146). Within the adenomyosis group, differences between women with different menstrual cycles were also observed. Finally, 50 possible biomarkers including were screened and predicted based on the random forest analyse. CONCLUSIONS: The vaginal microbiome of patients with adenomyosis and healthy individuals differed during menstrual periods, especially during the luteal phase. These findings facilitate the search for specific biological markers within a limited range and provide a more accurate, objective, and individualized diagnostic and therapeutic evaluation method for patients with adenomyosis, compared to what is currently available.

Longitudinal associations of menstrual characteristics with mental health problems among Chinese girls.

Cross-sectional studies indicate that menstrual problems are related to poorer mental health; however, longitudinal studies are limited. This longitudinal study aimed to determine whether baseline menstrual characteristics were risk factors for incident and persistent mental health problems. The study was conducted among Chinese adolescent girls. Menstrual characteristics including menarche, menstrual cycle and menstrual pain were assessed at baseline, whereas mental health problems including PTSD, depression, anxiety, ADHD, insomnia, psychotic-like experiences, non-suicidal self-injury, suicide ideation, suicide plan, and suicide attempt were assessed at baseline (n = 1039) and at the 1-year follow-up (n = 946) by self-administered, structured questionnaires. Multiple logistic regressions were performed to examine whether menstrual characteristics were associated with incident (e.g., PTSD at follow-up but not baseline) and persistent (e.g., PTSD at both time points) mental health problems. The results demonstrated that early menarche was related to persistence of psychotic-like experiences; irregular menstruation was associated with higher rates of incident anxiety and insomnia, and persistent depression, anxiety, ADHD, insomnia, non-suicidal self-injury, suicide ideation, and suicide plan; menstrual pain was associated with elevated rates of incident PTSD and depression, and persistent depression, insomnia, psychotic-like experiences, non-suicidal self-injury, suicidal ideation, suicide plan, and suicide attempt. In conclusion, irregular menstruation and menstrual pain specifically contributed to the development of emotional problems and insomnia, and were associated with maintenance of the most mental health problems in early adolescence. The long-term effects of menstrual problems on mental health need further study.

Progesterone from ovulatory menstrual cycles is an important cause of breast cancer.

Many factors, including reproductive hormones, have been linked to a woman's risk of developing breast cancer (BC). We reviewed the literature regarding the relationship between ovulatory menstrual cycles (MCs) and BC risk. Physiological variations in the frequency of MCs and interference with MCs through genetic variations, pathological conditions and or pharmaceutical interventions revealed a strong link between BC risk and the lifetime number of MCs. A substantial reduction in BC risk is observed in situations without MCs. In genetic or transgender situations with normal female breasts and estrogens, but no progesterone (P4), the incidence of BC is very low, suggesting an essential role of P4. During the MC, P4 has a strong proliferative effect on normal breast epithelium, whereas estradiol (E2) has only a minimal effect. The origin of BC has been strongly linked to proliferation associated DNA replication errors, and the repeated stimulation of the breast epithelium by P4 with each MC is likely to impact the epithelial mutational burden. Long-lived cells, such as stem cells, present in the breast epithelium, can carry mutations forward for an extended period of time, and studies show that breast tumors tend to take decades to develop before detection. We therefore postulate that P4 is an important factor in a woman's lifetime risk of developing BC, and that breast tumors arising during hormonal contraception or after menopause, with or without menopausal hormone therapy, are the consequence of the outgrowth of pre-existing neoplastic lesions, eventually stimulated by estrogens and some progestins.

Abnormal uterine bleeding patterns determined through menstrual tracking among participants in the Apple Women's Health Study.

BACKGROUND: Use of menstrual tracking data to understand abnormal bleeding patterns has been limited because of lack of incorporation of key demographic and health characteristics and confirmation of menstrual tracking accuracy. OBJECTIVE: This study aimed to identify abnormal uterine bleeding patterns and their prevalence and confirm existing and expected associations between abnormal uterine bleeding patterns, demographics, and medical conditions. STUDY DESIGN: Apple Women's Health Study participants from November 2019 through July 2021 who contributed menstrual tracking data and did not report pregnancy, lactation, use of hormones, or menopause were included in the analysis. Four abnormal uterine bleeding patterns were evaluated: irregular menses, infrequent menses, prolonged menses, and irregular intermenstrual bleeding (spotting). Monthly tracking confirmation using survey responses was used to exclude inaccurate or incomplete digital records. We investigated the prevalence of abnormal uterine bleeding stratified by demographic characteristics and used logistic regression to evaluate the relationship of abnormal uterine bleeding to a number of self-reported medical conditions. RESULTS: There were 18,875 participants who met inclusion criteria, with a mean age of 33 (standard deviation, 8.2) years, mean body mass index of 29.3 (standard deviation, 8.0), and with 68.9% (95% confidence interval, 68.2-69.5) identifying as White, non-Hispanic. Abnormal uterine bleeding was found in 16.4% of participants (n=3103; 95% confidence interval, 15.9-17.0) after accurate tracking was confirmed; 2.9% had irregular menses (95% confidence interval, 2.7-3.1), 8.4% had infrequent menses (95% confidence interval, 8.0-8.8), 2.3% had prolonged menses (95% confidence interval, 2.1-2.5), and 6.1% had spotting (95% confidence interval, 5.7-6.4). Black participants had 33% higher prevalence (prevalence ratio, 1.33; 95% confidence interval, 1.09-1.61) of infrequent menses compared with White, non-Hispanic participants after controlling for age and body mass index. The prevalence of infrequent menses was increased in class 1, 2, and 3 obesity (class 1: body mass index, 30-34.9; prevalence ratio, 1.31; 95% confidence interval, 1.13-1.52; class 2: body mass index, 35-39.9; prevalence ratio, 1.25; 95% confidence interval, 1.05-1.49; class 3: body mass index, >40; prevalence ratio, 1.51; 95% confidence interval, 1.21-1.88) after controlling for age and race/ethnicity. Those with class 3 obesity had 18% higher prevalence of abnormal uterine bleeding compared with healthy-weight participants (prevalence ratio, 1.18; 95% confidence interval, 1.02-1.38). Participants with polycystic ovary syndrome had 19% higher prevalence of abnormal uterine bleeding compared with participants without this condition (prevalence ratio, 1.19; 95% confidence interval, 1.08-1.31). Participants with hyperthyroidism (prevalence ratio, 1.34; 95% confidence interval, 1.13-1.59) and hypothyroidism (prevalence ratio, 1.17; 95% confidence interval, 1.05-1.31) had a higher prevalence of abnormal uterine bleeding, as did those reporting endometriosis (prevalence ratio, 1.28; 95% confidence interval, 1.12-1.45), cervical dysplasia (prevalence ratio, 1.20; 95% confidence interval, 1.03-1.39), and fibroids (prevalence ratio, 1.14; 95% confidence interval, 1.00-1.30). CONCLUSION: In this cohort, abnormal uterine bleeding was present in 16.4% of those with confirmed menstrual tracking. Black or obese participants had increased prevalence of abnormal uterine bleeding. Participants reporting conditions such as polycystic ovary syndrome, thyroid disease, endometriosis, and cervical dysplasia had a higher prevalence of abnormal uterine bleeding.

Risk of uterine leiomyomata with menstrual and reproductive factors in premenopausal women: Korea nurses' health study.

BACKGROUND: Uterine leiomyomata (UL) are benign smooth muscle tumors that may cause significant morbidity in women of reproductive age. This study aimed to investigate the relationship of menstrual and reproductive factors with the risk of UL in premenopausal women. METHODS: This prospective study included 7,360 premenopausal women aged 22-48 years who were part of the Korea Nurses' Health Study. Information on the menstrual cycle and reproductive history was assessed between 2014 and 2016, and self-reported cases of UL were obtained through 2021. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: During 32,072 person-years of follow-up, 447 incident cases of UL were reported. After adjusting for other risk factors, women with late age at menarche had a lower incidence of UL (≥ 16 vs. 12-13 years: HR 0.68; 95% CI 0.47-0.99; p for trend = 0.026). The risk of UL was inversely associated with current menstrual cycle length (≥ 40 or too irregular to estimate vs. 26-31 days: HR 0.40; 95% CI 0.24-0.66) and cycle length at ages 18-22 years (HR 0.45; 95% CI 0.31-0.67; p for trend < 0.001, each). Parous women had lower risk of UL than nulliparous women (HR 0.40; 95% CI 0.30-0.53) and women who were aged 29-30 years at first birth had a lower risk of UL than those who were aged ≤ 28 years at first birth (HR 0.58; 95% CI 0.34-0.98). There was no significant association of the number of births or breastfeeding with the risk of UL among parous women. Neither a history of infertility nor oral contraceptive use was associated with the risk of UL. CONCLUSIONS: Our results suggest that age at menarche, menstrual cycle length, parity, and age at first birth are inversely associated with the risk of UL in premenopausal Korean women. Future studies are warranted to confirm the long-term effects of menstrual and reproductive factors on women's health.

Case Reports from Women Using a Quantitative Hormone Monitor to Track the Perimenopause Transition.

The fertility tracking of menstrual cycles during perimenopause with a quantitative hormone monitor is a novel undertaking. Women in regular menstrual cycles have been tracking their fertility using different biomarkers since the 1960's. Presently, there are newer electronic hormonal devices used to track fertility that provide more exact and objective data to help delineate the fertile time frame of a woman's cycle. These devices measure quantitative levels of estrogen, the luteinizing hormone, progesterone, and follicle-stimulating hormone, all of which occur at varying levels during the menstrual cycle. As women advance toward menopause, their cycles vary in length, and their hormones fluctuate. In this retrospective analysis, forty-two women aged 40 to 50 tracked their cycles over time, and eight of these forty-two women used the quantitative hormonal device. With the use of this device, the perimenopausal period has revealed distinct hormonal cycle characteristics that are unique to this group of women. It is the purpose of this paper to discuss these cycle's characteristics during perimenopause, which were found with the use of the quantitative hormonal device.

Menstrual cycle regularity as a predictor for heart disease and diabetes: Findings from a large population-based longitudinal cohort study.

OBJECTIVE: Menstrual cycle regularity underpins the diagnosis of polycystic ovary syndrome (PCOS), which is linked to adverse cardio-metabolic profile. However, links between menstrual disorders and metabolic conditions are often under-appreciated and not considered when assessing cardio-metabolic risk in women. We aimed to assess the risk of diabetes and heart disease in women with irregular menstrual cycles and those whose cycles were regular. METHODS: This was a community based longitudinal cohort study. We utilized the 1946 to 1951 birth cohort database (N = 13,714) of the Australian Longitudinal Study on Women's Health (ALSWH) over a 20-year follow-up period. Data were analysed using Cox regression models. RESULTS: Women with irregular menstrual cycles had 20% higher risk of developing heart disease [adjusted hazard ratio [HR]: 1.20, 95% confidence interval [CI]: 1.01-1.43) compared with those with regular menstrual cycles. We also observed 17% higher risk of diabetes (HR: 1.17, 95% CI: 1.00-1.38) in women who had irregular menstrual cycles than in women who had regular menstrual cycles. The diabetes risk was 30% higher (HR: 1.30, 95% CI: 1.09-1.55) if women had irregular cycles and did not use hormone replacement therapy, but this was not significant on adjustment for all covariates. CONCLUSION: Having irregular menstrual cycles appears to be an early indicator for heart disease and diabetes. These findings suggest that irregular cycles among women in their forties may be linked to adverse cardio-metabolic outcomes. These women may benefit from screening and prevention strategies as recommended by related guidelines such as the international evidence-based guideline for the assessment and management of PCOS.

Design and methods of the Apple Women's Health Study: a digital longitudinal cohort study.

BACKGROUND: Prospective longitudinal cohorts assessing women's health and gynecologic conditions have historically been limited. OBJECTIVE: The Apple Women's Health Study was designed to gain a deeper understanding of the relationship among menstrual cycles, health, and behavior. This paper describes the design and methods of the ongoing Apple Women's Health Study and provides the demographic characteristics of the first 10,000 participants. STUDY DESIGN: This was a mobile-application-based longitudinal cohort study involving survey and sensor-based data. We collected the data from 10,000 participants who responded to the demographics survey on enrollment between November 14, 2019 and May 20, 2020. The participants were asked to complete a monthly follow-up through November 2020. The eligibility included installed Apple Research app on their iPhone with iOS version 13.2 or later, were living in the United States, being of age greater than 18 years (19 in Alabama and Nebraska, 21 years old in Puerto Rico), were comfortable in communicating in written and spoken English, were the sole user of an iCloud account or iPhone, and were willing to provide consent to participate in the study. RESULTS: The mean age at enrollment was 33.6 years old (±standard deviation, 10.3). The race and ethnicity was representative of the US population (69% White and Non-Hispanic [6910/10,000]), whereas 51% (5089/10,000) had a college education or above. The participant geographic distribution included all the US states and Puerto Rico. Seventy-two percent (7223/10,000) reported the use of an Apple Watch, and 24.4% (2438/10,000) consented to sensor-based data collection. For this cohort, 38% (3490/9238) did not respond to the Monthly Survey: Menstrual Update after enrollment. At the 6-month follow-up, there was a 35% (3099/8972) response rate to the Monthly Survey: Menstrual Update. 82.7% (8266/10,000) of the initial cohort and 95.1% (2948/3099) of the participants who responded to month 6 of the Monthly Survey: Menstrual Update tracked at least 1 menstrual cycle via HealthKit. The participants tracked their menstrual bleeding days for an average of 4.44 (25%-75%; range, 3-6) calendar months during the study period. Non-White participants were slightly more likely to drop out than White participants; those remaining at 6 months were otherwise similar in demographic characteristics to the original enrollment group. CONCLUSION: The first 10,000 participants of the Apple Women's Health Study were recruited via the Research app and were diverse in race and ethnicity, educational attainment, and economic status, despite all using an Apple iPhone. Future studies within this cohort incorporating this high-dimensional data may facilitate discovery in women's health in exposure outcome relationships and population-level trends among iPhone users. Retention efforts centered around education, communication, and engagement will be utilized to improve the survey response rates, such as the study update feature.

Evaluation of socio-demographic and clinical characteristics of PCOS patients attending a tertiary care institute in Colombo.

BACKGROUND AND OBJECTIVES: Polycystic ovary syndrome (PCOS) is a common endocrine disorder with heterogeneous aetiology. It is characterized by irregular menses and or oligo/anovulation, hyper-androgenism, and polycystic ovaries. The prevalence and diagnosis of PCOS changes depending on which clinical criteria are utilized to confirm the diagnosis. The prevalence can be high as 8-13% when the Rotterdam criteria are used. However, there is significant inter-individual variation in presentation. We have studied the socio-demographic and clinical characteristics of PCOS patients attending the Endocrinology clinic in a tertiary care institute in Sri Lanka. METHODS: A descriptive cross sectional study was conducted from September 2019 to September 2020 at the Endocrinology Unit of the National Hospital of Sri Lanka. All the patients who met the inclusion and exclusion criteria and who has a diagnosis of PCOS made according to Rotterdam criteria were recruited in to the study. After obtaining informed written consent, the data was collected using an interviewer administered questionnaire. HOMA-IR was calculated using the fasting insulin and blood glucose level. RESULTS: The study enrolled sixty females. The mean age was 26.7 years (range 18-44). The mean weight was 64.8 (SD = 11.9) kg and BMI was 27.1 (SD = 4.8) kg/m-2. According to Asian BMI cut-offs, 1 (1.7%) patient was underweight and 13 (21.7%) had normal weight. Forty six (76.7%) had their weight in the overweight or obese category. Fifty four (90.0%) patients had clinical or biochemical evidence of hyperandrogenism while 24 (40%) had polycystic ovaries on trans-abdominal ultrasound scan and 50 (83.3%) had irregular menstrual cycles. According to the body fat percentage assessed by the whole body DEXA scan 4.1% normal body fat, while 50.0% and 45.8% had overweight and obesity respectively. HOMA-IR detected 61.1% to have high insulin resistance. Out of the patients who had USS of the abdomen 27.5% had co-existent non-alcoholic fatty liver. Fifty four percent of the patients had sub/infertility. CONCLUSIONS: The majority of the population were overweight or obese and had higher prevalence of insulin resistance and non-alcoholic fatty liver. Out of the clinical characteristics used to make the diagnosis of PCOS, the presence of clinical or biochemical evidence of hyperandrogenism and irregular menstrual cycles are more common than the detection of polycystic ovaries on trans-vaginal USS. The higher prevalence of overweight, obesity, insulin resistance and NAFLD associated with PCOS makes the diagnosis and management of the disease crucial to prevent long term consequences of the disease.

Shiftwork and Light at Night Negatively Impact Molecular and Endocrine Timekeeping in the Female Reproductive Axis in Humans and Rodents.

Shiftwork, including work that takes place at night (nightshift) and/or rotates between day and nightshifts, plays an important role in our society, but is associated with decreased health, including reproductive dysfunction. One key factor in shiftwork, exposure to light at night, has been identified as a likely contributor to the underlying health risks associated with shiftwork. Light at night disrupts the behavioral and molecular circadian timekeeping system, which is important for coordinated timing of physiological processes, causing mistimed hormone release and impaired physiological functions. This review focuses on the impact of shiftwork on reproductive function and pregnancy in women and laboratory rodents and potential underlying molecular mechanisms. We summarize the negative impact of shiftwork on female fertility and compare these findings to studies in rodent models of light shifts. Light-shift rodent models recapitulate several aspects of reproductive dysfunction found in shift workers, and their comparison with human studies can enable a deeper understanding of physiological and hormonal responses to light shifts and the underlying molecular mechanisms that may lead to reproductive disruption in human shift workers. The contributions of human and rodent studies are essential to identify the origins of impaired fertility in women employed in shiftwork.

Irregular menses predicts ovarian cancer: Prospective evidence from the Child Health and Development Studies.

We tested the hypothesis that irregular menstruation predicts lower risk for ovarian cancer, possibly due to less frequent ovulation. We conducted a 50-year prospective study of 15,528 mothers in the Child Health and Development Studies cohort recruited from the Kaiser Foundation Health Plan from 1959 to 1966. Irregular menstruation was classified via medical record and self-report at age 26. We identified 116 cases and 84 deaths due to ovarian cancer through 2011 via linkage to the California Cancer Registry and Vital Statistics. Contrary to expectation, women with irregular menstrual cycles had a higher risk of ovarian cancer incidence and mortality over the 50-year follow-up. Associations increased with age (p <0.05). We observed a 2-fold increased incidence and mortality by age 70 (95% confidence interval [CI] = 1.1, 3.4) rising to a 3-fold increase by age 77 (95% CI = 1.5, 6.7 for incidence; 95% CI = 1.4, 5.9 for mortality). We also found a 3-fold higher risk of mortality for high-grade serous tumors (95% CI = 1.3, 7.6) that did not vary by age. This is the first prospective study to show an association between irregular menstruation and ovarian cancer-we unexpectedly found higher risk for women with irregular cycles. These women are easy to identify and many may have polycystic ovarian syndrome. Classifying high-risk phenotypes such as irregular menstruation creates opportunities to find novel early biomarkers, refine clinical screening protocols and potentially develop new risk reduction strategies. These efforts can lead to earlier detection and better survival for ovarian cancer.

Menstrual cyclicity post OC withdrawal in PCOS: Use of non-hormonal options.

There is no data on menstrual cyclicity post oral contraceptive (OC) withdrawal with nonhormonal options in PCOS patients. OC could affect obesity, insulin and gonadotropins factors integral to pathogenesis of PCOS, thereby adversely affecting the HPG axis. Menstrual cycles of PCOS patients were retrospectively studied post OCP. Patients developing regular versus irregular cycles post OC were compared. Forty-eight PCOS patients were followed for an average of 1.9 years post OC. Thirty-six (75%) achieved regular cycles over a period of one year with other nonhormonal options like spironolactone and metformin. Seven patients required no treatment. Patients who continued to have irregular cycles had a longer pre OC cycle length (p < 0.01) and a greater duration of menstrual irregularity (p < 0.02), though age, BMI and hormones were similar in the two groups. In conclusion, spironolactone and metformin are effective nonhormonal options for regular periods post OC. Around 15% PCOS may not require any treatment post OC.

Menstrual Cramps in Anovulatory versus Normally Ovulatory Cycles - SARS-COV-2 Pandemic Daily Data Plus a Meta-Analysis of Cramps and Anovulation.

Purpose: It is asserted that primary dysmenorrhea/menstrual cramps only occur in ovulatory menstrual cycles. Our first objective was to present detailed menstrual cramps information in normally ovulatory versus anovulatory cycles from a single-cycle cohort study during the SARS-CoV-2 Pandemic. Secondly, we reviewed the literature for cohort studies documenting both menstrual cramps and ovulation. Participants and Methods: The Menstruation and Ovulation Study 2 recruited 108 women ages 19-35 years to a prospective, observational single-cycle study, recording cramps daily (0-4 scale) in the Menstrual Cycle Diary© and assessing normal ovulation (luteal length ≥10 days) by the validated Quantitative Basal Temperature© (Mean Temperature Method). We searched databases for « primary dysmenorrhea ¼ / ¼ menstrual cramps ¼; « menstrual cycles ¼; « anovulation ¼, finding four valid publications. Results: In 75 women/cycles during the Pandemic, mean age was 28.5, body mass index 23.5, and higher education (16 years); 40 normally ovulatory and 35 anovulatory cycles had similar lengths (29.5-30.0 days), respectively (P=0.571). However, anovulatory cycles recorded significantly worse menstrual cramps versus normally ovulatory cycles; anovulatory median intensity was 1.9 versus 1.6, and Cramp Score was 8 versus 6 in normally ovulatory cycles (P=0.017). Four publications in 273 women (991 cycles) showed cramps in both anovulatory and ovulatory cycles; three were in adolescent/young adult women, one of which documented a significantly greater percentage of cramps in ovulatory cycles. The 694 cycles in premenopausal women (20-41 years) showed similar percentages of symptomatic cramps in cycles of both ovulatory types. Meta-analysis documented significantly higher cramp prevalence in ovulatory cycles (OR 2.10; 95% CI 1.31, 3.37; P=0.002). Conclusion: This is the first documentation of more intense and frequent cramps in anovulatory cycles. However, meta-analysis showing the presence of symptomatic cramps in both ovulatory and anovulatory cycles documented they were twice as prevalent in ovulatory menstrual cycles.

"Worse Menstrual Cramps in Anovulatory Cycles". Medicine has long believed that menstrual cramps only occur in ovulatory menstrual cycles that release an egg and have high progesterone levels that decrease before the next period. The notion was that dropping progesterone levels triggered release of prostaglandins that cause the pain and uterus muscle contractions of menstrual cramps. This research studied 75 community women aged 19­35 years for a single cycle during COVID-19. Forty women had normally ovulatory cycles and 35 had anovulatory cycles with a similar mean cycle length of 29.7 days. Women in both groups were similar in age, weight, education and other reproductive characteristics. Women recorded Menstrual Cycle Diary© daily experiences for cramp presence and intensity (scored 0­4). Ovulation was documented by daily first morning temperatures analyzed by the valid Quantitative Basal Temperature© method. Results showed menstrual cramps occurred in both normally ovulatory and anovulatory cycles. Surprisingly, anovulatory compared with ovulatory cycles had cramps that lasted longer (4 rather than 3 days), were more intense (1.9 versus 1.6) and with significantly higher Cramp Scores (of 8 versus 6). We also found four other published studies showing cramps occurred in both anovulatory and ovulatory cycles. A meta-analysis of these, however, showed that cramps were twice as frequent in ovulatory cycles. These results matter because they stimulate the search for more accurate understandings of why menstrual cramps occur. They will likely stimulate more effective therapies for the rare, intense menstrual cramps that currently are not effectively treated by anti-inflammatory medicines such as ibuprofen.

Menstrual cycles and the impact upon performance in elite British track and field athletes: a longitudinal study.

Objective: To assess the prevalence of menstrual disorders and the perceived effect of menstrual cycles upon performance in elite athletes. Methodology: A longitudinal survey in the form of a questionnaire was sent to female track and field athletes at British Athletics every 6 months, over a five-year period between 1st October 2014 and 1st October 2019 in the United Kingdom (UK). Results: 128 athletes completed an average of 4.2 ± 2.9 questionnaires across the study period. The mean age of menarche was 14.2 ± 1.4 years, 13.4 ± 1.3 years and 12.8 ± 1.4 years in endurance, power, and thrower athletes respectively (p < 0.05). Two-thirds (66%; n = 82) reported consistently regular cycles, 30% (n = 37) irregular at some point during the period of observation and 4% (n = 5) were amenorrhoeic. 87 athletes (68%) reported dysmenorrhoea and 40 (31%) menorrhagia. More than three quarters (76.8%; n = 96) described their cycle negatively affected performance. Amongst those who reported when the negative impact occurred (n = 91), 40% (n = 36) reported this in the late luteal phase and 35% (n = 32) during the early follicular phase. 79% (n = 100) of athletes reported at least one cyclical symptom, of which bloating, lower back and pelvic pain were most frequently experienced. Conclusion: This data highlights the complex interrelationship between women's health and elite athletic performance. Athletes perceive a negative impact from their menstrual cycles upon performance with a desire to manage these more effectively, particularly during competition. Female reproductive health expertise in the multi-disciplinary management of elite athletes is required.

The Correlation between Sex Hormone-Binding Globulin and Clinical Characteristics According to Anti-Müllerian Hormone in Women with Regular Menstrual Cycles: A Prospective Study.

BACKGROUND: Polycystic ovarian syndrome (PCOS) can be diagnosed when the anti-Müllerian hormone (AMH) levels are high, but in clinic, women who do not meet the diagnosis of PCOS but have elevated AMH levels are often seen. This study aimed to compare the differences in menstrual cycle patterns and hormone levels in women with regular menstrual cycles, but not PCOS, by dividing them into high and low AMH groups. MATERIAL AND METHODS: This multicenter prospective study included 68 healthy women. Participants with regular menstrual cycles were divided into two groups according to their AMH levels. The main outcome measures were menstrual cycle pattern, body mass index, and hormone levels (thyroid stimulating hormone, prolactin, testosterone, sex hormone-binding globulin, and free androgen index), which were compared between the groups according to AMH levels. The ovulation was assessed by performing pelvic ultrasound, and by assessing the hormone levels of the luteinizing hormone and progesterone. RESULTS: The criteria for determining normal and high AMH levels were based on previous literatures. The participants were divided into normal (39 people) and high (29 people) AMH group. No differences were found in age or BMI between the two groups, and no other differences were observed in TSH, prolactin, testosterone, or free androgen index. However, the high AMH group had significantly higher SHBG levels than the normal group (normal group: 65.46 ± 25.78 nmol/L; high group: 87.08 ± 45.05 nmol/L) (p = 0.025). CONCLUSIONS: This study is the first to analyze the association between SHBG and AMH levels in women with regular menstrual cycles. Elevated AMH levels are associated with increased levels of SHBG levels.

Young Men's Attitudes and Understanding of Menstruation.

PURPOSE: To identify sources of information, perceptions, and potential misinformation about menstruation among college-aged men in the United States. METHODS: This is a mixed-methods cross-sectional survey study of students in the United States. Inclusion criteria included participants aged 17-29 years, male gender identity, enrolled as an undergraduate or graduate student, and no personal history of menstruation. RESULTS: This study included 70 participants. Almost half of all participants (42.9%) first learned about menstruation from family members. More than two-thirds of respondents felt that menstrual education was essential or very important for all genders. The most common symptoms noted to be associated with periods included cramping (93.6%), mood changes (80.9%), and vague "hormonal" changes (36.2%). When asked how a menstrual period might affect someone's ability to perform daily activities, one-third reported debilitating or very burdensome symptoms, whereas one-fifth felt periods do not have much impact. DISCUSSION: Comprehensive education and accurate reproductive health knowledge are critical in combating gender bias and stigma. Most males surveyed agree that education on menstruation is important, yet the majority do not have or do not remember formal education on this topic, instead relying on family members and friends as learning tools and resources. Most participants identified negative symptoms associated with menstrual periods, especially mental health concerns including mood changes and irritability. This association with mood changes, as well as vague "hormonal fluctuations," contributes to the societal bias against people who menstruate by marking them as prone to emotional instability, thereby exacerbating gender prejudices. It is therefore critical that accurate menstrual education be widely available for everyone, regardless of gender.

Identification and validation of M2 macrophage-related genes in endometriosis.

Aims: M2 macrophage is believed to play an important role in the development of endometriosis. This study aimed to identify several key genes related to the M2 macrophage in endometriosis. Method: Differential expressed genes between endometriosis and non-endometriosis were identified based on three microarray datasets from the Gene Expression Omnibus database. Gene modules significantly associated with M2 macrophage were identified from the weighted gene co-expression network analysis. Furthermore, by intersecting the differential expressed genes and M2 macrophage-associated module genes, M2 macrophage-related genes in endometriosis were identified. Functional analyses of the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes for these genes were then performed. Following, the least absolute shrinkage and selection operator, random forest, and receiver operating characteristic curves were further conducted to identify the key M2 macrophage-related genes in endometriosis. Finally, the expressions of key genes in endometriosis, as well as their correlations with M2 macrophages were verified in an independent validation cohort. Results: Totally, 185 M2 macrophage-related genes were identified, and they were mainly enriched in functions associated with the cell cycle, oocyte maturation, and immune response. Following machine learning algorithms, eight key genes were selected in the endometriosis: PGR, OLFM4, PIP5K1B, CCNA1, BRIP1, CADM1, PRAME, and GCNT1. The eight key genes were confirmed to be negative with M2 macrophage infiltration levels. Furthermore, the expression levels of these genes were significantly lower in the middle secretory stage while relevantly higher in the proliferative stage. The validation analysis also showed similar outcomes with the above results. Conclusion: Eight M2 macrophage-related genes were identified as potential biomarkers of endometriosis, providing novel understanding of immune cells in the endometriosis.

Association of inflammation biomarkers with food cravings and appetite changes across the menstrual cycle.

IMPORTANCE: Premenstrual symptoms, including food cravings, are often a regular complaint among menstruating women. However, existing evidence regarding the biological mechanisms by which these food cravings occur remains unclear. Inflammation may play an essential role in the occurrence of these food cravings before menstruation. OBJECTIVE: The purpose of the present study was to examine the associations between inflammatory markers and the risk of moderate/severe food cravings while accounting for changes in hormone levels and stress across the menstrual cycle. DESIGN, SETTING, AND PARTICIPANTS: The BioCycle Study followed women (n = 259) aged 18-44 for two menstrual cycles. Food cravings (via questionnaire) were assessed up to four times per cycle. Each assessment corresponded to menses and mid-follicular, ovulation, and luteal phases of the menstrual cycle. A wide range of cytokine and chemokine levels (hsCRP, GCSF, GMCSF, IL-4, IL-6, RANTES, MIP1B, etc.) were assessed in blood samples collected at up to 8 visits per cycle, with visits timed using fertility monitors. MAIN OUTCOMES AND MEASURES: Cravings for chocolate, sweets, salty, and other foods, and changes in appetite were determined to estimate the odds of moderate or severe cravings. Associations between inflammatory markers and risk of reporting a moderate/severe craving symptom at each cycle visit was determined using weighted generalized linear models (e.g., marginal structural models). Models were adjusted for age, BMI, and race, as well as time-varying covariates such as estradiol, stress, leptin, and total energy intake, and accounted for repeated measures (i.e., multiple cycles per woman). Both inflammatory markers and reports of cravings were modeled to account for variation at each visit. RESULTS: An association between higher inflammatory biomarkers such as hsCRP, GCSF, GMCSF, IL-4, IL-6, RANTES, MIP, and increased risk of moderate/severe cravings were identified across the menstrual cycle all risk ratio>1, all CIs range 0.71-2.38. hsCRP retained statistical significance after false discovery rate correction with chocolate, sweet, and salty cravings, while GCSF, GMCSF, IL-6, and RANTES retained significance with chocolate and sweet cravings only. CONCLUSION: and Relevance: The results suggest a potential role of inflammation in food cravings and appetite changes across the menstrual cycle.

A Multicenter ICET-A Study on Age at Menarche and Menstrual Cycles in Patients with Transfusion-Dependent Thalassemia (TDT) who Started Early Chelation Therapy with Different Chelating Agents.

Introduction: To evaluate the effect of early chelation therapy (≤ 3 years) with a variety of chelating agents on age at menarche and menstrual characteristics in patients with transfusion-dependent thalassemia (TDT). Design: A retrospective multicenter study promoted by the International Network of Clinicians for Endocrinopathies in Thalassemia and Adolescent Medicine (ICET-A). Setting: Eight of 13 International Thalassemia Centers (61.5%) in the ICET-A Network participated. Patients: Fifty-seven female TDT patients, aged 11 to 26 years, and with early iron chelation therapy, were eligible for the present study. They were enrolled from one center from Iran (33 patients), 3 centers from Bulgaria (9), 1 from Greece (8), one from Oman (4), 1 from Cyprus (2), and 1 from Italy (1). Seven patients were excluded, four still prepubertal (age 12-14 years) and 3 with primary amenorrhea. Therefore 50 patients were finally enrolled. Results: All fifty TDT patients developed spontaneous menarche at a mean age of 14.2 ± 2.24 years (range 9 - 20). A significant positive correlation was observed between age at menarche and serum ferritin levels (r: 0. 41, p=0.005). Regular menstrual cycles were reported from 32 (64%) patients, of whom 28 (83.3%) get menarche at age ≤ 14 years. Complications were more frequent in patients older than 14 years at menarche and in those with secondary amenorrhea. Conclusions: Age at menarche greater than 14 years was a forerunner of menstrual irregularities and associated complications in 36% of patients despite precocious chelation therapy. The poor adherence to treatment, to be demonstrated in future studies, could explain the finding.