Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study

Sleep characteristics in association with risk of sporadic anovulation among eumenorrheic women

Few studies have evaluated sleep characteristics, including social jetlag, with ovulatory dysfunction, which may be an indicator of subfertility and poor metabolic health. Our objective was to evaluate whether sleep characteristics, including sleep duration, chronotype, social jetlag, sleep latency, nocturnal awakenings, and shift work, were associated with risk of anovulation among eumenorrheic women. Participants had a history of pregnancy loss and regular menstrual cycles, but no history of infertility. Typical sleep characteristics were self-reported at baseline. Participants were followed up to the cycle of conception or up to six menstrual cycles. Fertility monitor data and reproductive hormone concentrations were used to assess anovulation. We used generalized estimating equations with log-Poisson distributions to estimate relative risks (RR). The study is registered at clinicaltrials.gov (NCT00467363). Sleep duration, social jetlag, sleep latency, and nocturnal awakenings were not associated with anovulation. Later chronotype was associated with greater anovulation risk (3rd vs. 2nd tertile RR: 1.33, 95% CI: 1.05-1.68; per 1-hour increase RR: 1.05 95% CI 1.00-1.11). The RR for rotating work was 1.14 (95% CI: 0.90-1.46) and for night shift work was 1.22 (95% CI: 0.98-1.52). These results suggest that later chronotype and potentially shift work may be related to menstrual cycle dysfunction.

Coronavirus disease 2019 vaccination and menstrual cycle changes: A cross-sectional study on females of reproductive age in Saudi Arabia

Data supporting the evidence of changes in the menstrual cycle and premenstrual symptoms associated with coronavirus disease (COVID-19) is quite scarce. To determine the association between COVID-19 vaccination and menstrual cycle changes and its relationship with different types of vaccines among women of reproductive age in Abha City, Saudi Arabia. A cross-sectional study was conducted from January 2022 to June 2022, among participants from Asser region of Saudi Arabia by using a self-administered questionnaire through an electronic survey. Data analysis was performed using SPSS version 16.0. Among 1208 study subjects, majority (66.9%) of females had menarche at the age of <13 years, 17.2% had irregular periods, and 24.8% reported an average regularity of periods (23-35 days). A statistically significant association was found among females who experienced a change in their menstrual cycle after receiving COVID-19 vaccine. Mood swings and lower back pain were common symptoms of premenstrual syndrome symptoms. Only 15% females reported a delay in conception. Out of 176 females, 40% showed 6 month delay in conception after receiving vaccine. Multivariate logistic regression analysis showed that age, regularity of periods, and usual volume of bleeding were significantly associated with changes in the menstrual cycle after vaccination. The relationship between COVID-19 vaccine and associated changes on the menstrual cycle and premenstrual syndrome was established in our study. Further research is needed to produce concrete evidence regarding its relationship to eliminate vaccine hesitancy among women.

Prevalence, risk factors and health-seeking behavior of menstrual disorders among women in India: a review of two-decade evidence

BACKGROUND

Menstrual health is critical for women of reproductive age. It is also evident that menstrual disorders have contributed to the increasing burden of non-communicable diseases.

OBJECTIVE

To our knowledge, no literature review explicitly addresses the prevalence, risk factors, and health-seeking behaviour of menstrual disorders in India. Therefore, the current study aims to synthesize the available scientific evidence on the prevalence and risk factors of menstrual disorders in India over the last two decades.

METHODS

We followed PRISMA guidelines to conduct the review. We used Google Scholar, PubMed, JSTOR, Scopus, and Sci Direct search engines to find eligible research studies and extracted data from 2000 to 2022. We also conducted quality appraisals of included studies in the review.

RESULTS

Results show that the prevalence of any menstrual disorders ranges from 3% to 87%. Among all menstrual disorders, Dysmenorrhea was reported to be high (46% to 76%) among women, followed by premenstrual symptoms (PMS) (40% to 71%), while PCOS (3% to 14.14%) was less. The study further found that irregular lifestyle, obesity, inadequate diet, age at marriage, family history, smoking, and place of residence factors is associated with menstrual disorders in India. As far as health-seeking for menstrual disorders is concerned, one-third of women sought treatment for menstrual disorders.

CONCLUSION

The present study has revealed that most women reported high rates of Dysmenorrhea, while Polycystic Ovary Syndrome (PCOS) is less prevalent. The study findings suggest that health-seeking behaviour is the most important factor in reducing menstrual disorders, which has long-term effects of increasing other comorbidities.

The vaginal metabolomics profile with features of polycystic ovary syndrome: a pilot investigation in China

Background

Polycystic ovary syndrome (PCOS) is the most common metabolic disorder and reproductive endocrine disease, posing an elevated risk to women of reproductive age. Although metabolism differences in serum, amniotic fluid and urine have been documented in PCOS, there remains a paucity of evidence for vaginal fluid. This study aimed to identify the metabolic characteristics and potential biomarkers of PCOS in Chinese women of reproductive age.

Methods

We involved ten newly diagnosed PCOS women who attended gynecology at Zhongda Hospital and matched them with ten healthy controls who conducted health check-up programs at Gulou Maternal and Child Health Center in Nanjing, China from January 1st, 2019 to July 31st, 2020. Non-targeted metabolomics based on ultra-high-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) was applied to differentially screen vaginal metabolites between PCOS group and healthy controls. Principal component analysis (PCA), orthogonal partial least-squares discriminant analysis (OPLS-DA) and enrichment analysis were used to observe differences, search for potential biomarkers and enrich related pathways.

Results

Among the 20 participants, a total of 195 different metabolites were detected between PCOS group and healthy control group. PCOS and control groups were effectively separated by vaginal fluid. Lipids and lipid-like molecules constituted the majority of differential metabolites. Notably, dopamine exhibited an increased trend in PCOS group and emerged as the most significant differential metabolite, suggesting its potential as a biomarker for identifying PCOS. The application of UHPLC-MS/MS based vaginal metabolomics methods showed significant differences between PCOS and non-PCOS healthy control groups, especially linoleic acid metabolism disorder. Most differential metabolites were enriched in pathways associated with linoleic acid metabolism, phenylalanine metabolism, tyrosine metabolism, nicotinate and nicotinamide metabolism or arachidonic acid metabolism.

Conclusions

In this pilot investigation, significant metabolomics differences could be obtained between PCOS and healthy control groups. For PCOS women of reproductive age, vaginal metabolism is a more economical, convenient and harmless alternative to provide careful personalized health diagnosis and potential targets for therapeutic intervention.

Bloody stressed! A systematic review of the associations between adulthood psychological stress and menstrual cycle irregularity

Regular menstruation is a key indicator of general health and irregular menstrual parameters have been associated with elevated risk of adverse health outcomes. While psychological stress is believed to contribute to abnormal menstruation, little is known of the effects of discrete psychological stressors, including the COVID-19 pandemic, on menstrual function. A systematic database search was performed and studies investigating the relation between psychological stress and menstrual cycle irregularity in otherwise healthy adults were included. Two independent investigators completed abstract and full-text screening, data extraction, and risk of bias assessment. In the 41 included studies, a variety of stressors were assessed, namely COVID-19 pandemic stress, academic stress, and occupational stress. Our review found most studies report an association between psychological stress and menstrual dysfunction, with the most common disruptions being irregular menstruation and abnormal menstrual flow. Our findings also underlined notable discrepancies in the operational definitions used in the study of menstrual disorders. These observations emphasize the importance of psychological stress as a modifiable risk factor associated with irregular menstruation.

Physiological Response to the COVID-19 Vaccine: Insights From a Prospective, Randomized, Single-Blinded, Crossover Trial

BACKGROUND

Rapid development and implementation of vaccines constituted a crucial step in containing the COVID-19 pandemic. A comprehensive understanding of physiological responses to these vaccines is important to build trust in medicine.

OBJECTIVE

This study aims to investigate temporal dynamics before and after COVID-19 vaccination in 4 physiological parameters as well as the duration of menstrual cycle phases.

METHODS

In a prospective trial, 17,825 adults in the Netherlands wore a medical device on their wrist for up to 9 months. The device recorded their physiological signals and synchronized with a complementary smartphone app. By means of multilevel quadratic regression, we examined changes in wearable-recorded breathing rate, wrist skin temperature, heart rate, heart rate variability, and objectively assessed the duration of menstrual cycle phases in menstruating participants to assess the effects of COVID-19 vaccination.

RESULTS

The recorded physiological signals demonstrated short-term increases in breathing rate and heart rate after COVID-19 vaccination followed by a prompt rebound to baseline levels likely reflecting biological mechanisms accompanying the immune response to vaccination. No sex differences were evident in the measured physiological responses. In menstruating participants, we found a 0.8% decrease in the duration of the menstrual phase following vaccination.

CONCLUSIONS

The observed short-term changes suggest that COVID-19 vaccines are not associated with long-term biophysical issues. Taken together, our work provides valuable insights into continuous fluctuations of physiological responses to vaccination and highlights the importance of digital solutions in health care.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s13063-021-05241-5.

Clinical Spectrum of Long COVID: Effects on Female Reproductive Health

The COVID-19 pandemic caused by SARS-CoV-2 has presented numerous health challenges, including long-term COVID, which affects female reproductive health. This review consolidates the current research on the impact of SARS-CoV-2 on the menstrual cycle, ovarian function, fertility, and overall gynecological health. This study emphasizes the role of angiotensin-converting enzyme receptors in viral entry and the subsequent tissue-specific pathological effects. It also explores the potential influence of long COVID on hormonal balance and immune responses, contributing to menstrual irregularities and impaired ovarian function. The findings indicate a higher prevalence of long-term COVID-19 among women, highlighting the substantial implications for reproductive health and the need for sex-sensitive longitudinal studies. Enhanced surveillance and targeted research are essential to develop effective interventions that prioritize women's reproductive well-being following SARS-CoV-2 infection. This review advocates for a sex-informed approach to ongoing COVID-19 research and healthcare strategies, aiming to provide up-to-date and pertinent data for healthcare providers and the general public, ultimately improving outcomes for females affected by long COVID.

An early screening model for preeclampsia: utilizing zero-cost maternal predictors exclusively

To provide a reliable, low-cost screening model for preeclampsia, this study developed an early screening model in a retrospective cohort (25,709 pregnancies) and validated in a validation cohort (1760 pregnancies). A data augmentation method (α-inverse weighted-GMM + RUS) was applied to a retrospective cohort before 10 machine learning models were simultaneously trained on augmented data, and the optimal model was chosen via sensitivity (at a false positive rate of 10%). The AdaBoost model, utilizing 16 predictors, was chosen as the final model, achieving a performance beyond acceptable with Area Under the Receiver Operating Characteristic Curve of 0.8008 and sensitivity of 0.5190. All predictors were derived from clinical characteristics, some of which were previously unreported (such as nausea and vomiting in pregnancy and menstrual cycle irregularity). Compared to previous studies, our model demonstrated superior performance, exhibiting at least a 50% improvement in sensitivity over checklist-based approaches, and a minimum of 28% increase over multivariable models that solely utilized maternal predictors. We validated an effective approach for preeclampsia early screening incorporating zero-cost predictors, which demonstrates superior performance in comparison to similar studies. We believe the application of the approach in combination with high performance approaches could substantially increase screening participation rate among pregnancies. Machine learning model for early preeclampsia screening, using 16 zero-cost predictors derived from clinical characteristics, was built on a 10-year Chinese cohort. The model outperforms similar research by at least 28%; validated on an independent cohort.

Female reproductive health during the COVID-19 pandemic: latest evidence and understanding

PURPOSE

The ongoing coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has imposed a heavy burden on medical systems. In addition to the respiratory system, the virus also causes injuries to other organs and systems such as the gastroenteric system, kidneys, and reproductive system. Female reproductive health requires more attention in this context.

METHODS

We have performed a thorough review of the relevant literature that addresses the impacts of SARS-CoV-2 infection and COVID-19 vaccination on the female reproductive system.

RESULTS

Most evidence shows that SARS-CoV-2 does not infect the female reproductive system. However, the virus may indirectly influence sex hormone concentrations through inflammation associated with cytokine storms and nervous system damage. Menstrual disorders in women infected with SARS-CoV-2 may be caused by down-regulation of angiotensin-converting enzyme 2, abnormal hormone levels, medications, and stress. There is no significant difference in ovarian follicle quality and in vitro fertilization parameters between the pre- and post-COVID-19 vaccination groups. In addition, most symptoms due to side effects of vaccination could recover within a short period of time.

CONCLUSION

SARS-CoV-2 infection affects female reproductive system function through multiple mechanisms. It is recommended that women of childbearing age be vaccinated with COVID-19 vaccine.

Pre-polycystic ovary syndrome and polymenorrhoea as new facets of polycystic ovary syndrome (PCOS): Evidences from a single centre data set

OBJECTIVE

Polycystic ovary syndrome (PCOS) is a complex disorder with diverse metabolic implications. Diagnosis typically relies on oligo-amenorrhoea (OA), hyperandrogenism (HA), and polycystic ovarian morphology (PCOM). However, the role of polymenorrhoea in PCOS remains understudied. Additionally, limited information exists regarding metabolic disturbances in women with partial PCOS phenotypes that do not meet diagnostic criteria. This extensive database aims to provide substantial evidence on the metabolic implications of polymenorrhoea and partial PCOS phenotypes.

DESIGN

Prospective observational study.

PATIENTS AND MEASUREMENTS

In this single-centre study, 6463 women with PCOS-like characteristics and 3142 age-matched healthy women were included. The study compared clinical (anthropometry, modified Ferriman Gallwey [mFG] score), hormonal (serum testosterone), and metabolic (plasma glucose, serum lipids, insulin) characteristics between women diagnosed with PCOS, those with partial PCOS phenotypes, and the healthy control group RESULTS: In all, 5174 women met Rotterdam criteria for PCOS diagnosis, while 737 were classified as Pre-PCOS, including HA (n = 538), OA (n = 121), or PCOM (n = 78). Common clinical features included oligomenorrhoea (75.5%), hirsutism (82.9%), obesity (27.2%), hypertension (1.6%), metabolic syndrome (19.6%), and diabetes mellitus (5.6%). Women diagnosed with PCOS, HA only, and OA only exhibited higher average body mass index, plasma glucose levels (both fasting and 2 h after the oral glucose tolerance test), and lipid fractions in comparison to those with PCOM and the healthy controls. However, indices of insulin resistance were similar among women with PCOS, HA, PCOM, and OA, albeit higher than in the healthy controls. The polymenorrhoea subgroup (5.9%) had lower BMI and serum testosterone, but similar mFG score, plasma glucose, insulin, and lipid levels as the oligomenorrhoea subgroup.

CONCLUSION

The metabolic disturbances observed in Pre-PCOS women highlight the need to reassess diagnostic criteria. Including the polymenorrhoea subcategory in PCOS criteria is recommended due to similar metabolic dysfunctions as the oligomenorrhoea group.

The Impact of Irregular Menstruation on Health: A Review of the Literature

Women are considered to have an irregular menstrual cycle if their cycle length is less than 21 days or more than 35 days, accompanied by less or very severe blood flow. The prevalence of menstrual cycle irregularities varies across countries. Irregular periods can occur due to changes in the body's levels of estrogen and progesterone hormones, which disrupt the normal pattern of the period. Menstrual irregularity has been found to be associated with various diseases and medical conditions, such as metabolic syndrome, coronary heart disease, type 2 diabetes mellitus, and rheumatoid arthritis. Anemia, osteoporosis, psychological problems, impaired quality of life, and infertility have also been recorded. Moreover, a significant correlation between irregular periods and the risk of developing pregnancy-related hypertensive disorders, as well as an increased risk of adverse obstetric and neonatal outcomes, has been proven. Therefore, irregular menstruation is considered an important health indicator among women. Physical, mental, social, psychological, and reproductive problems are often associated with menstrual irregularities. Thus, evaluating the factors associated with irregular menstruation is necessary to determine appropriate preventive and treatment strategies and to decrease the associated health problems. The aim of this review was to define normal and irregular menstruation, their types, and prevalence, to recognize the risk factors and causes of irregular menstruation, and to understand their impact on women's health.

The menstrual cycle and the COVID-19 pandemic

BACKGROUND

The impact of COVID-19 virus on menstrual cycles in unvaccinated women is limited.

OBJECTIVE

To investigate the prevalence of changes to menstrual cycle characteristics, hormonal symptoms and lifestyle changes prior to and during the COVID-19 pandemic.

METHODS

A retrospective online cross-sectional survey completed by social media users between July 2020 to October 2020. Participants were living in the United Kingdom (UK), premenopausal status and, or over 18 years of age.

MAIN OUTCOME(S) AND MEASURES(S)

The primary outcome was to assess changes to menstrual cycle characteristics during the pandemic following the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). Secondary outcomes included assessment of hormonal and lifestyle changes.

RESULTS

15,611 social media users completed the survey. Of which, 75% of participants experienced a change in their menstrual cycle, with significantly greater proportions reporting irregular menstrual cycles (P<0·001), bleeding duration more than seven days (P<0·001), longer mean cycle length (P<0·001) and overall bleeding duration (P<0·001). Over half the participants reported worsening of premenstrual symptoms including low mood/depression, anxiety and irritability. When stratified according to COVID-19 infection, there was no significant difference in menstrual cycle changes.

CONCLUSION

The COVID-19 pandemic resulted in considerable variation in menstrual cycle characteristics and hormonal symptoms. This appears to be related to societal and lifestyle changes resulting from the pandemic, rather than to the virus itself. We believe this may have an impact on the individual, as well as national economy, healthcare, and population levels, and therefore suggest this should be taken into consideration by governments, healthcare providers and employers when developing pandemic recovery plans.

Menstrual Cycle Irregularity in Adolescence Is Associated With Cardiometabolic Health in Early Adulthood

Background Menstrual cycle irregularities are associated with cardiovascular and cardiometabolic disease. We tested associations between age at menarche and cycle irregularity in adolescence and cardiometabolic health in early adulthood in a subsample from the Pittsburgh Girls Study. Methods and Results Data from annual interviews were used to assess age at menarche and cycle irregularity (ie, greater or less than every 27-29 days) at age 15 years. At ages 22 to 25 years, cardiometabolic health was measured in a subsample of the Pittsburgh Girls Study (n=352; 68.2% Black), including blood pressure, waist circumference, and fasting serum insulin, glucose, and lipids. T tests were used for continuous data and odds ratios for dichotomous data to compare differences in cardiometabolic health as a function of onset and regularity of menses. Early menarche (ie, before age 11 years; n=52) was associated with waist circumference (P=0.043). Participants reporting irregular cycles (n=50) in adolescence had significantly higher levels of insulin, glucose, and triglycerides, and higher systolic and diastolic blood pressure (P values range from 0.035 to 0.005) and were more likely to have clinical indicators of cardiometabolic predisease in early adulthood compared with women who reported regular cycles (odds ratios ranged from 1.89 to 2.56). Conclusions Increasing rates and earlier onset of cardiovascular and metabolic disease among women, especially among Black women, highlights the need for identifying early and reliable risk indices. Menstrual cycle irregularity may serve this purpose and help elucidate the role of women's reproductive health in protecting and conferring risk for later cardiovascular and cardiometabolic diseases.

Menstrual disturbances and its association with sleep disturbances: a systematic review

BACKGROUND

Menstrual disturbances harm women's health, and general well-being. As growing evidence highlights the relationship between sleep and menstrual disturbances, it is imperative to comprehensively examine the association between sleep and menstrual disturbance considering the multiple dimensions of sleep. This systematic review aims to identify the association between sleep and menstrual disturbances by evaluating using Buysse's sleep health framework.

METHODS

A comprehensive search of the literature was conducted in PubMed, EMBASE, psychINFO, and CINAHL to identify publications describing any types of menstrual disturbances, and their associations with sleep published between January 1, 1988 to June 2, 2022. Quality assessment was conducted using the Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies. The findings were iteratively evaluated menstrual disturbances and their association with sleep using Buysse's sleep health framework. This framework understands sleep as multidimensional concept and provides a holistic framing of sleep including Satisfaction, Alertness during waking hours, Timing of sleep, Efficiency, and Sleep duration. Menstrual disturbances were grouped into three categories: premenstrual syndrome, dysmenorrhea, and abnormal menstrual cycle/heavy bleeding during periods.

RESULTS

Thirty-five studies were reviewed to examine the association between sleep and menstrual disturbances. Premenstrual syndrome and dysmenorrhea were associated with sleep disturbances in sleep health domains of Satisfaction (e.g., poor sleep quality), Alertness during waking hours (e.g., daytime sleepiness), Efficiency (e.g., difficulty initiating/maintaining sleep), and Duration (e.g., short sleep duration). Abnormal menstrual cycle and heavy bleeding during the period were related to Satisfaction, Efficiency, and Duration. There were no studies which investigated the timing of sleep.

CONCLUSIONS/IMPLICATIONS

Sleep disturbances within most dimensions of the sleep health framework negatively impact on menstrual disturbances. Future research should longitudinally examine the effects of sleep disturbances in all dimensions of sleep health with the additional objective sleep measure on menstrual disturbances. This review gives insight in that it can be recommended to provide interventions for improving sleep disturbances in women with menstrual disturbance.

Predictive Factors of Menstrual Recovery After Laparoscopic Sleeve Gastrectomy in Polycystic Ovary Syndrome Women with Obesity

Objective

To explore the predictors of menstrual recovery in polycystic ovary syndrome (PCOS) women with obesity following laparoscopic sleeve gastrectomy (LSG).

Methods

A total of 88 PCOS patients with obesity and 76 control patients with obesity aged 18-45 years were enrolled between May 2013 and December 2020. PCOS was diagnosed using the Rotterdam diagnostic criteria (2003). Anthropometric measurements, biochemical parameters, sex hormones, and circulating fibrinogen-like protein 1 (FGL-1) levels were collected before and six-month after LSG. The data on postoperative menstrual status, body weight, and fertility were obtained through telephone follow-ups for all individuals with PCOS.

Results

Patients with PCOS were followed up for at least six months after surgery, and the mean follow-up time was 3.23 years. At 6 months after LSG, circulating total testosterone (TT), calculated free testosterone (cFT), and FGL-1 levels declined significantly. The mean percent excess weight loss (%EWL) and percent total weight loss (%TWL) in PCOS patients at the final follow-up was 97.52% ± 33.90% and 31.65% ± 10.31%, respectively. The proportion of regular menstruation in PCOS patients significantly increased within six months (75.86% vs 0.03% at baseline). In the logistic regression analysis, time from PCOS diagnosis (P=0.007), body mass index (BMI) (P=0.007), TT (P=0.038) at baseline were demonstrated to be independent predictive factors for the regular menstruation in women with PCOS and obesity within 6 months after LSG.

Conclusion

In PCOS patients with obesity, time from PCOS diagnosis, BMI, and TT levels at baseline were independently and negatively associated with menstrual recovery within 6 months after LSG, which could be applied in preoperative evaluation.

The association between menstrual cycle characteristics and cardiometabolic outcomes in later life: a retrospective matched cohort study of 704,743 women from the UK

BACKGROUND

Female reproductive factors are gaining prominence as factors that enhance cardiovascular disease (CVD) risk; nonetheless, menstrual cycle characteristics are under-recognized as a factor associated with CVD. Additionally, there is limited data from the UK pertaining to menstrual cycle characteristics and CVD risk.

METHODS

A UK retrospective cohort study (1995-2021) using data from a nationwide database (The Health Improvement Network). Women aged 18-40 years at index date were included. 252,325 women with history of abnormal menstruation were matched with up to two controls. Two exposures were examined: regularity and frequency of menstrual cycles; participants were assigned accordingly to one of two separate cohorts. The primary outcome was composite cardiovascular disease (CVD). Secondary outcomes were ischemic heart disease (IHD), cerebrovascular disease, heart failure (HF), hypertension, and type 2 diabetes mellitus (T2DM). Cox proportional hazards regression models were used to derive adjusted hazard ratios (aHR) of cardiometabolic outcomes in women in the exposed groups compared matched controls.

RESULTS

During 26 years of follow-up, 20,605 cardiometabolic events occurred in 704,743 patients. Compared to women with regular menstrual cycles, the aHRs (95% CI) for cardiometabolic outcomes in women with irregular menstrual cycles were as follows: composite CVD 1.08 (95% CI 1.00-1.19), IHD 1.18 (1.01-1.37), cerebrovascular disease 1.04 (0.92-1.17), HF 1.30 (1.02-1.65), hypertension 1.07 (1.03-1.11), T2DM 1.37 (1.29-1.45). The aHR comparing frequent or infrequent menstrual cycles to menstrual cycles of normal frequency were as follows: composite CVD 1.24 (1.02-1.52), IHD 1.13 (0.81-1.57), cerebrovascular disease 1.43 (1.10-1.87), HF 0.99 (0.57-1.75), hypertension 1.31 (1.21-1.43), T2DM 1.74 (1.52-1.98).

CONCLUSIONS

History of either menstrual cycle irregularity or frequent or infrequent cycles were associated with an increased risk of cardiometabolic outcomes in later life. Menstrual history may be a useful tool in identifying women eligible for periodic assessment of their cardiometabolic health.

The exercise power-duration relationship is equally reproducible in eumenorrheic female and male humans

This study aims to investigate the effect of the menstrual cycle (MC) on exercise performance across the power-duration relationship (PDR). We hypothesized females would exhibit greater variability in the PDR across the MC than males across a similar timespan, with critical power (CP) and work-prime (W') being lower during the early follicular phase than the late follicular and midluteal phases. Seven eumenorrheic, endurance-trained female adults performed multiple constant-load-to-task-failure and maximum-power tests at three timepoints across the MC (early follicular, late follicular, and midluteal phases). Ten endurance-trained male adults performed the same tests approximately 10 days apart. No differences across the PDR were observed between MC phases (CP: 186.74 ± 31.00 W, P = 0.955, CV = 0.81 ± 0.65%) (W': 7,961.81 ± 2,537.68 J, P = 0.476, CV = 10.48 ± 3.06%). CP was similar for male and female subjects (11.82 ± 1.42 W·kg^-1 vs. 11.56 ± 1.51 W·kg^-1, respectively) when controlling for leg lean mass. However, W' was larger (P = 0.047) for male subjects (617.28 ± 130.10 J·kg^-1) than female subjects (490.03 ± 136.70 J·kg^-1) when controlling for leg lean mass. MC phase does not need to be controlled when conducting aerobic endurance performance research on eumenorrheic female subjects without menstrual dysfunction. Nevertheless, several sex differences in the power-duration relationship exist, even after normalizing for body composition. Therefore, previous studies describing the physiology of exercise performance in male subjects may not perfectly describe that of female subjects.NEW & NOTEWORTHY Females are often excluded from exercise performance research due to experimental challenges in controlling for the menstrual cycle (MC), causing uncertainty regarding how the MC impacts female performance. The present study examined the influences that biological sex and the MC have on the power-duration relationship (PDR) by comparing critical power (CP), Work-prime (W'), and maximum power output (P_MAX) in males and females. Our data provide evidence that the MC does not influence the PDR and that females exhibit similar reproducibility as males. Thus, when conducting aerobic endurance exercise research on eumenorrheic females without menstrual dysfunction, the phase of the MC does not need to be controlled. Although differences in body composition account for some differences between the sexes, sex differences in W' and P_MAX persisted even after normalizing for different metrics of body composition. These data highlight the necessity and feasibility of examining sex differences in performance, as previously generated male-only data within the literature may not apply to female subjects.

[Association of SARS-CoV-2 infection and administration of COVID-19 vaccines with alterations in the menstrual cycle. Literature review]

A number of factors can affect a woman's menstrual cycle, including diseases or drugs, such as COVID-19 disease and vaccinations. The aim of this review is to explore the studies published to date that have studied the presence of alterations that may be related to COVID-19 or vaccination against the SARS-CoV-2 virus.We conducted a review in the PubMed database, selecting 10 articles in which the menstrual cycle of adult women of childbearing age was studied, 3 of them in which the participants had been diagnosed with COVID-19 and 7 in which the participants had been vaccinated against the SARS-CoV-2 virus.Regarding COVID-19-related disturbances, 16%-47.2% of the participants presented a prolongation of their cycle, which was more frequent in those who reported more COVID-19 symptoms, and which normalised after 1-2 cycles.Regarding the alterations described after SARS-CoV-2 vaccination, 45%-78% of participants reported menstrual cycle alterations, with disparate results for the different parameters analysed, except that the alterations resolved in about 2 months.Both COVID-19 disease and vaccination appear to be associated with the occurrence of menstrual disturbances, which are limited in time and not severe. However, studies are scarce to date, and it is important to continue to develop studies that provide scientific evidence.

The effect of COVID-19 vaccination on the menstrual pattern and mental health of the medical students: A mixed-methods study from a low and middle-income country

OBJECTIVE

To assess the effect of COVID-19 vaccination on menstrual patterns and mental health of medical students and to explore the students' perspective regarding this effect.

MATERIALS AND METHODS

This mixed-method study was conducted on the medical and dental students of the private and public sector institutions of Peshawar from September 2021 to March 2022. A Menstrual symptom questionnaire (MSQ) and hospital anxiety and depression scale (HADS) were used. This was followed by qualitative interviews with the students who faced problems in their menstruation after the COVID-19 vaccination.

RESULTS

A total of 953 students were included, with a mean age of 20.67±1. 56 years. More than half (n = 512, 53.7%) experienced menstrual cycle abnormalities post-vaccination. The majority having disturbances in their menstrual cycle had significantly higher levels of anxiety (p = 0.000). Results on the menstrual symptom questionnaire, anxiety, and depression subtype of HADS showed a negative and statistically significant relationship with changes after COVID-19 vaccination (p<0.05). In the qualitative interviews, 10 (58.8%) students each had problems with frequency and flow, followed by 7 (41.2%) students, who had dysmenorrhea. Seven (41.2%) consulted a gynecologist for management. The majority (n = 14, 82.4%) stated that these issues had an adverse impact on their mental health and almost half (n = 8, 47.1%) suggested consulting a gynecologist while facing such situations.

CONCLUSION

This study showed the impact of the COVID-19 vaccine on women`s menstrual patterns and subsequent mental health status. Although the majority of the students experienced menstrual cycle abnormalities and subsequent mental health adversities post COVID-19 vaccination but these were temporary and self-limiting and were attributed to the psychological impact of the vaccination. Therefore, it is imperative to alert health care professionals about possible side effects and prior counseling is expected to play an important role in this context.

Effects of SARS-CoV-2 infection and COVID-19 pandemic on menstrual health of women: A systematic review

Background

The menstrual cycle in women is the main indicator of their reproductive health which is affected by the ongoing coronavirus disease 2019 (COVID-19) pandemic. This review aims to summarize the effects of the COVID-19 infection and the global pandemic on the menstrual health of women.

Methods

The literature search was conducted in PubMed, Cochrane library, and Google Scholar using keywords "COVID-19," "Menstrual Cycle," "Menstrual Cycle Irregularities," "Amenorrhea," "Polymenorrhea," and "Dysmenorrhea." The articles were selected according to the following inclusion criteria: (i) cross-sectional studies, (ii) cohort studies, (iii) surveys, and (iv) other observational studies observing the effects of SARS-CoV-2 infection or COVID-19 pandemic on menstrual health of women. Exclusion criteria included: case reports, gray literature, and website articles regarding menstrual health.

Results

A total of 30,510 articles were shortlisted after a comprehensive search. Sixteen articles were included out of which 13 studies investigated the effects of the COVID-19 pandemic on the menstrual cycle while 3 evaluated the possible effects of COVID-19 infection on the menstrual health of women. Menstrual disorders or irregularities were a more common finding during the pandemic as compared to before (p = 0.008). Women affected by pandemic-related stress were more prone to changes in the duration of their menses (p = 0.0008), reported heavier bleeding (p = 0.028), and increased incidence of painful periods (p < 0.0001). COVID-19 infected women also reported changes in their menstrual cycle including irregular menstruation, increased symptoms of premenstrual syndrome, and infrequent menstruation.

Conclusions

Women suffering from COVID-19 infection or pandemic-associated stress and anxiety were more likely to experience irregular menstruation, dysmenorrhea, amenorrhea, and other menstrual abnormalities compared to those who were less exposed.

Factors associated with regularity and length of menstrual cycle: Korea Nurses’ Health Study

Background

Menstrual cycle characteristics are linked to reproductive function and long-term health outcomes. This study aimed to evaluate menstrual cycle patterns, characterized by regularity and length, and associated factors among women in the Korea Nurses’ Health Study.

Methods

A total of 9335 premenopausal women aged 22–45 years were included in this cross-sectional study. Regularity and length of menstrual cycles were self-reported, and their associations with reproductive, lifestyle, and occupational factors were examined using binomial and multinomial logistic regression models. Adjusted least-square means of menstrual distress, depressive symptoms, stress, fatigue, anxiety, and sleep problems were estimated according to menstrual cycle characteristics using generalized linear models.

Results

Twenty-one percent of nurses reported having irregular menstrual cycles (variability > 7 days). Ten percent, 64%, and 26% had menstrual cycle length of < 26, 26–31, and 32–50 days, respectively. Variability and length of cycles decreased with age and increased with age at menarche. Parous women showed low tendency of irregular cycles. Women with body mass index (BMI) > 25 kg/m² had higher odds of irregular (odds ratio [OR] 1.68; 95% confidence interval [CI] 1.40–2.03) and long cycles (OR 1.31; 95% CI 1.08–1.58) than those with BMI 18.5– < 23 kg/m². Irregular cycles were less common in women performing vigorous physical activity, but more common in those with prolonged standing or frequent heavy lifting at work. Frequent rotating night shift was associated with irregular cycles among nulliparous women. Levels of menstrual and premenstrual distress, depressive symptoms, perceived stress, physical and mental fatigue, anxiety, and sleep problems were higher in women with irregular cycles than in those with regular cycles (p < 0.001, each).

Conclusions

The study suggests that irregular and long menstrual cycles are associated with reproductive, lifestyle, and occupational factors; also with menstrual distress and perceived health status. Our findings contribute to a better understanding of potential risk factors for menstrual dysfunction, and thus, may help improve women’s health.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12905-022-01947-z.

Menstrual irregularity and its associated factors among college students in Ethiopia, 2021

Background

Menstrual irregularity can occur at any age, but it is most common among women under the age of 23 years. Menstrual irregularity is a foremost gynecological problem and a cause of anxiety to students and those close to them. These students experience monthly absenteeism, premenstrual symptoms, and a lack of concentration due to menstrual problems, all of which interfere with their education. Therefore, this study aimed to assess the magnitude of menstrual irregularity and associated factors among college students in Debre Berhan Town, North Shewa, Amhara Regional State, Ethiopia, in 2021.

Methods

An institution-based cross-sectional study was conducted from June to July 2021 in Debre Berhan town. Data was collected using self-administered questionnaires in 420 eligible female college students by systematic random sampling technique. Weight and height were measured and Body Mass Index (BMI) was calculated after data collection. Each questionnaire was checked for completeness, cleaned, coded, entered into EPI-DATA, and then transported to SPSS software. Bi-variable and multivariable logistic regression analyses were employed to determine the association of each independent variable with the dependent variable. P ≤ 0.05 were used to declare association and select predictors.

Results

In the current study, 395 students participated with a response rate of 93.6%. Of all the total respondents, the magnitude of menstrual cycle irregularity was 33.4% (95% CI 28.6–38.2). Age < 20 years old [AOR = 3.88, 95% CI (1.25–12.18)], age of menarche ≤ 12 years [AOR = 4, 95% CI (1.18–13.9), sleeping hours ≤ 5 h [AOR= 2.26, 95% CI (1.04–4.93)], perceived stress [AOR = 2, 95% CI (1.53–3.23)] and being overweight [AOR = 2, 95% CI (1.13–3.23) were the variables significantly associated with the magnitude of menstrual irregularity.

Conclusion and recommendation

This study shows that more than one-third of the college students in Debre Berhan town have experienced menstrual irregularity. Being less than 20 years old, having a history of early menarche, being overweight, and perceived stress were a variable significantly associated with menstrual irregularity. To control menstrual irregularity, girls should control their weight and lead a healthy lifestyle, including getting adequate sleep which could be aided by training on time management.

Polycystic ovary syndrome: a "risk-enhancing" factor for cardiovascular disease

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among women of reproductive age and is hallmarked by hyperandrogenism, oligo-ovulation, and polycystic ovarian morphology. Polycystic ovary syndrome, particularly the hyperandrogenism phenotype, is associated with several cardiometabolic abnormalities, including obesity, dyslipidemia, elevated blood pressure, and prediabetes or type 2 diabetes. Many, but not all, studies have suggested that PCOS is associated with increased risk of cardiovascular disease (CVD), including coronary heart disease and stroke, independent of body mass index and traditional risk factors. Interpretation of the data from these observational studies is limited by the varying definitions and ascertainment of PCOS and CVD across studies. Recent Mendelian randomization studies have challenged the causality of PCOS with coronary heart disease and stroke. Future longitudinal studies with clearly defined PCOS criteria and newer genetic methodologies may help to determine association and causality. Nevertheless, CVD risk screening remains critical in this patient population, as improvements in metabolic profile and reduction in CVD risk are achievable with a combination of lifestyle management and pharmacotherapy. Statin therapy should be implemented in women with PCOS who have elevated atherosclerotic CVD risk. If CVD risk is uncertain, measurement of subclinical atherosclerosis (carotid plaque or coronary artery calcium) may be a useful tool to guide shared decision-making about initiation of statin therapy. Other medications, such as metformin and glucagon-like peptide-1 receptor agonists, also may be useful in reducing CVD risk in insulin-resistant populations. Additional research is needed to determine the best pathways to mitigate PCOS-associated CVD risk.

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.

Menstrual Symptoms After COVID-19 Vaccine: A Cross-Sectional Investigation in the MENA Region

Background

Since the emergence of COVID-19 vaccinations, many women around the world are reporting abnormalities in their menstrual periods post-vaccination. The aim of this study is to investigate the prevalence and impact of menstrual abnormalities after the COVID-19 vaccine among females residing within the Middle East and North Africa (MENA).

Methods

The study utilized a cross-sectional online self-administered survey from July 2021 to August 2021 targeting females living in the MENA region above the age of menarche who had received vaccine and were not pregnant or lactating, and do not have a history of primary ovarian insufficiency, hypothalamic menopause, or have undergone a hysterectomy. The survey was distributed regionally via social media.

Results

A total of 2269 females were included in our study, with a mean age of 34.3 ± 8.5 years. About 66.3% of participants reported menstrual symptoms post-vaccination, of which 46.7% experienced them after their first dose. However, in 93.6% of participants, the symptoms resolved within 2 months. Vaccine type did not significantly influence the incidence of abnormalities (p > 0.05). Participants who had confirmed previous COVID-19 infection had a very similar percentage of menstrual abnormalities compared to people who did not have COVID-19 infection or symptoms suspected of COVID-19 infection and did not test (67.5%, 66.8%, respectively); nevertheless, those who had experienced the COVID-19 vaccine general side effects had significantly more abnormalities (p < 0.001). Compared to their pandemic status, females reported significantly more abnormalities post-vaccination.

Conclusion

The study showed a possible link between the COVID-19 vaccine and menstrual abnormalities that have impacted their quality of life.

The Prevalence of Polycystic Ovary Syndrome, Its Phenotypes and Cardio-Metabolic Features in a Community Sample of Iranian Population: Tehran Lipid and Glucose Study

Objectives

The aim of the present study was to evaluate the prevalence of polycystic ovary syndrome (PCOS), its phenotypical and cardio-metabolic features in a community sample of the Iranian population in comparison to healthy eumenorrheic, non-hirsute women without polycystic ovaries. The second aim was to assess the cardio-metabolic characteristics of women who suffered from one criteria of PCOS compared to those healthy eumenorrheic, non-hirsute women.

Methods

In this cross-sectional population-based study, a total of 1,960 eligible women, aged (18-45 years) were recruited from the Tehran-Lipid and Glucose-Study participants and were classified as the three groups of (i) women with PCOS by the Rotterdam criteria, (ii) non-PCOS women with one criteria of PCOS and (iii) healthy eumenorrheic, non-hirsute women without polycystic ovaries morphology (PCOM) as the control group. Further PCOS women were extended to four phenotypes of hyperandrogenism, oligo-anovulation, polycystic ovaries (phenotype A), hyperandrogenism, oligo/anovulation (phenotype B), hyperandrogenism, polycystic ovaries (phenotype C) and oligo-anovulation, polycystic ovaries (phenotype D). Cardio-metabolic profiles and the prevalence of comorbidities of metabolic syndrome (MetS) and lipid abnormalities were compared among these groups linear, and the median regression models adjusted for age and body mass index.

Results

The prevalence of PCOS according to the diagnostic criteria of the NIH, Rotterdam and AE-PCOS Society were 13.6, 19.4, and 17.8, respectively. Among those who met the Rotterdam criteria, 23.9, 46.3, 21.6, and 8.2% had phenotypes A, B, C, and D, respectively. Among the remaining 1,580 women who did not fulfil the PCOS criteria, 108 (6.8%) suffered from only oligo/anovulation, 332 (21%) only hyperandrogenism/hyperandrogenemia, 159 (16.2%) only PCOM in ultrasound and 981 (62%) were healthy eumenorrheic, non-hirsute women without PCOM. The study revealed that some adiposity indices and lipid abnormalities in PCOS phenotypes with hyperandrogenism (A, B, and C) were worse than in healthy women. By contrast, women with phenotype D did not differ from the healthy ones in terms of adiposity and lipid abnormalities. However, the respective values for other cardio-metabolic profiles and MetS rates in different phenotypes of PCOS were similar to the healthy women. Only the prevalence of MetS in phenotype A was significantly higher than in the healthy women. There were no statistically significant differences between participants with one criteria of PCOS and healthy counterparts in terms of most adiposity indexes, cardio-metabolic factors, and comorbidity of MetS and its components. However, women with hyperandrogenism had a significantly higher level of the waist to height ratio (WHtR) and hypertriglyceridemia than their healthy counterparts.

Conclusion

PCOS, mainly classical phenotypes A and B, are common among Iranian women of reproductive age. Women with PCOS who had androgen excess exhibited the worst lipid profile, and those who had full three criteria of the syndrome exhibited the higher rate of MetS. However, women with only ovulatory dysfunction and only PCOM had similar cardio-metabolic characteristics, compared to healthy subjects. These data suggest that routine screening for metabolic disturbances may be needed in the prevention of cardio-metabolic disorders in patients with more serious phenotypes of PCOS.

The associations of muscle mass with glucose and lipid metabolism are influenced by body fat accumulation in children and adolescents

OBJECTIVE

To evaluate the prevalence of hyperglycemia and dyslipidemia among different body composition and investigate the associations of body composition indicators, especially the muscle mass, with glucose and lipids metabolism in children and adolescents.

METHODS

This nationwide cross-sectional study included 8,905 children and adolescents aged 6 to 18 years. All participants underwent dual-energy x-ray absorptiometry and their blood-concentrated glucose and lipids (including TC, TG, LDL-C and HDL-c) were measured. Mixed model, hierarchical analysis, and piecewise regression were used to study the effect of body composition indicators, especially the muscle mass, on glucose and lipids metabolism.

RESULTS

The greatest prevalence of high total cholesterol (TC, 6.9% and 6.9%) and high triglyceride (22.3% and 6.6%) was found in both boys and girls with high muscle mass and high fat mass, and girls with high muscle mass and high fat mass also had the highest prevalence of hyperglycemia (7.1%). After fat stratification, higher muscle mass was associated with lower odds of hyperglycemia (OR = 0.62; 95%CI: 0.46,0.84; P = 0.002) and muscle mass was inversely associated with TC (β = -0.07; 95%CI: -0.12,-0.03; P < 0.001) in boys with normal fat mass, but high muscle mass was not significantly associated with hyperglycemia and TC in high-fat-mass group (P = 0.368 and 0.372).

CONCLUSIONS

The body composition phenotype of high muscle and high fat mass have the highest prevalence of dysglycemia and dyslipidemia. Higher muscle mass was associated with a lower risk of hyperglycemia and TC levels in individuals only with normal fat mass.

Effect of Electroacupuncture on Reproductive Disorders and Insulin Resistance in a Murine Polycystic Ovary Syndrome Model

Polycystic ovarian syndrome (PCOS) is a common, complex, and heterogeneous endocrine and metabolic disorder. There is no standardized treatment, and it therefore requires individualized therapies according to the symptoms and pathogenesis of each patient. The present study aimed to determine the effect of electroacupuncture at the acupoints Zusanli (ST36), Sanyinjiao (SP6), and Neiguan (PC6) on reproductive disorders and insulin resistance in a murine model of PCOS induced by dehydroepiandrosterone (DHEA). Vaginal smear analysis was used to determine mice estrous cycle; intraperitoneal glucose and insulin tolerance tests were adopted to analyze metabolic characteristics; enzyme-linked immunosorbent assay was used to measure hormone levels; gene expression was quantified with real-time PCR; hematoxylin and eosin staining was used to observe ovarian morphology. We observed disordered estrous cycle, polycystic ovarian morphology, and higher levels of homeostasis model assessment-insulin resistance (HOMA-IR) and testosterone (T), indicating successful modeling of PCOS. DHEA increased levels of estrogen (E₂), progesterone (P), testosterone (T), luteinizing hormone (LH), and follicle-stimulating hormone (FSH), and EA treatment restored them to levels seen in the control group. EA reduced the days in estrus caused by DHEA, improved the abnormal sex hormone receptor genes, and attenuated the DHEA-induced histomorphological changes in mouse ovaries. The average expressions of the androgen receptor (AR), estrogen receptor (ER), luteinizing hormone receptor (LHR), and follicle-stimulating hormone receptor (FSHR) genes in the ovary greatly increased after DHEA treatment and significantly decreased in the DHEA + EA group. After EA treatment, the cystic follicle (CF) number was reduced and corpora lutea (CL) increased in the DHEA + EA group compared to the DHEA group. EA improved glucose intolerance and insulin intolerance. Statistical analysis of intraperitoneal glucose tolerance test-area under curve (IPGTT-AUC) glucose levels revealed a significant decrease in DHEA group mice compared to the control and DHEA + EA groups. EA was found to restore fasting blood glucose, fasting serum insulin, and HOMA-IR. In summary, our study suggests that EA has a remarkable effect in the DHEA-induced murine PCOS model. Management of EA could improve estrous cycle, hormonal disorders, abnormal sex hormone receptors in ovaries, ovary morphology, and insulin resistance in PCOS mice.

Effect of Wenshentiaojing Decoction on Hormone Level and Follicular Number in Patients with Menstrual Disorder of Polycystic Ovary Syndrome

Objective

To explore the curative effect of Wenshentiaojing Decoction on the treatment of menstrual disorder caused by PCOS.

Methods

Patients with menstrual disorders caused by PCOS admitted to our department from January 2020 to January 2021 were selected as the research objects and were divided into a control group and observation group according to the random number table method. The control group was treated with Western medicine, and the observation group was treated with Wenshentiaojing Decoction on the basis of Western medicine. The clinical efficacy of the two groups was compared. Before and after treatment, sex hormones (LH, FSH, LH/FSH, and testosterone (T)), ovarian volume, endometrial thickness, cervical mucus score, follicular number, menstrual conditions (menstrual duration, menstrual cycle, and menstrual volume), and other indicators in both groups were recorded.

Results

After treatment, the total effective rate of the observation group (91.1% (41/45)) was higher than that of the control group (77.8% (35/45)), and the difference was statistically significant (P < 0.05). After treatment, the LH, LH/FSH, and T levels in the observation group were lower than those in the control group, while the FSH level was higher than that in the control group (P < 0.05). After treatment, the ovarian volume, endometrial thickness, cervical mucus score, and follicle number in the observation group were higher than those in the control group (P < 0.05). After treatment, the menstrual duration and menstrual volume in the observation group were longer than those in the conventional group, and the menstrual cycle was shorter than that in the conventional group (P < 0.05).

Conclusion

For patients with menstrual disorders caused by PCOS, the treatment effect of Wenshentiaojing Decoction assisted with Western medicine is better, which can effectively improve the level of sex hormones, cervical mucus, and menstrual conditions, increase the ovarian volume, endometrial thickness, and follicle number, and improve the treatment effect, with fewer adverse reactions, which is worthy of further promotion and application.

Pre-pregnancy menstrual cycle regularity and length and the risk of gestational diabetes mellitus: prospective cohort study

AIMS/HYPOTHESIS

Menstrual cycle dysfunction has been associated with many endocrine-related diseases, but evidence linking menstrual cycle dysfunction with gestational diabetes mellitus (GDM) is scant. The current study investigated the association of pre-pregnancy menstrual cycle regularity and length during adolescence, early adulthood and mid-adulthood with the subsequent risk of GDM.

METHODS

Between 1993 and 2009, we followed 10,906 premenopausal women participating in the Nurses' Health Study II who reported menstrual cycle characteristics during adolescence (age 14-17 years), early adulthood (age 18-22 years) and mid-adulthood (age 29-46 years). Incident GDM was ascertained from a self-reported questionnaire regarding physician diagnosis. Log-binomial models with generalised estimating equations were used to estimate the RRs and 95% CI for the associations between menstrual cycle characteristics and GDM.

RESULTS

We documented 578 incident cases of GDM among 14,418 pregnancies over a 16 year follow-up. After adjusting for potential confounders, women reporting always having irregular menstrual cycles during mid-adulthood had a 65% (95% CI 21, 125%) higher risk of GDM than women reporting very regular cycles. GDM risk was also greater among women reporting that their cycles were usually ≥32 days during mid-adulthood, compared with women reporting cycles between 26 and 31 days (RR 1.42 [95% CI 1.15, 1.75]). The risk of GDM was greater for women whose cycles changed from regular early in their reproductive years to irregular or from <32 days to ≥32 days during mid-adulthood, compared with women whose cycles remained <32 days or regular, respectively.

CONCLUSIONS/INTERPRETATION

Women whose cycles were long or irregular during mid-adulthood, but not in adolescence or young adulthood, were at higher risk of GDM.

Patterns of menstrual cycle length over the menopause transition are associated with subclinical atherosclerosis after menopause

OBJECTIVE

Longer menstrual cycles have been associated with greater risk of cardiovascular disease, supporting a contribution of abnormal ovarian function. We aimed to characterize trajectories of menstrual cycle length over the menopause transition (MT) and test whether these trajectories are associated with postmenopausal markers of subclinical atherosclerosis.

METHODS

Women from the Study of Women's Health Across the Nation Daily Hormone Study were included if they had an observed date of the final menstrual period (FMP), recorded cycle lengths from ≥2 annual menstrual cycles (mean±SD: 4.22 ± 1.91 cycles), and had measurements of postmenopausal carotid intima-media thickness (cIMT) and/or brachial-ankle pulse wave velocity (baPWV). Trajectories of cycle length over the MT were identified using group-based trajectory modeling and linked with cIMT and baPWV using linear regression.

RESULTS

We studied 428 women who had 1,808 cycles over the MT (45.1 ± 2.3 y old at baseline visit), and of whom 263 had cIMT, and 213 had baPWV measured postmenopausally (after 13.88 ± 0.42 and 15.25 ± 0.70 y since baseline visit, respectively). Three distinct trajectories of cycle length were identified: stable (no changes in cycle length over the MT among 62.1% of women), late increase (a late increase 2 y before the FMP among 21.8%), and early-increase (an early increase 5 y before the FMP among 16.2%). Women with the late-increase pattern had significantly lower postmenopausal cIMT (0.72 mm) and baPWV (1392 cm/s) levels than the stable group (0.77 mm and 1508 cm/s, respectively) adjusting for race, concurrent age, socioeconomic status, physical activity level, and premenopausal cardiovascular risk profile.

CONCLUSIONS

Patterns of cycle length over the MT seem to be a marker of future vascular health that may help identify groups at greater or lesser risk of atherosclerosis after menopause.

The Canadian Women’s Heart Health Alliance Atlas on the Epidemiology, Diagnosis, and Management of Cardiovascular Disease in Women — Chapter 4: Sex- and Gender-Unique Disparities: CVD Across the Lifespan of a Woman

Women have unique sex- and gender-related risk factors for cardiovascular disease (CVD) that can present or evolve over their lifespan. Pregnancy-associated conditions, polycystic ovarian syndrome, and menopause can increase a woman’s risk of CVD. Women are at greater risk for autoimmune rheumatic disorders, which play a role in the predisposition and pathogenesis of CVD. The influence of traditional CVD risk factors (eg, smoking, hypertension, diabetes, obesity, physical inactivity, depression, anxiety, and family history) is greater in women than men. Finally, there are sex differences in the response to treatments for CVD risk and comorbid disease processes. In this Atlas chapter we review sex- and gender-unique CVD risk factors that can occur across a woman’s lifespan, with the aim to reduce knowledge gaps and guide the development of optimal strategies for awareness and treatment.

Magnitude and associated factors of menstrual irregularity among undergraduate students of Debre Berhan University, Ethiopia

Background

Menstrual irregularity is a common problem among women aged from 21 to 25years. Previously published work on menstrual irregularity used inconsistent definition which results in a difference in prevalence. Therefore the study aimed to assess the magnitude and associated factors of menstrual irregularity among undergraduate students of Debre Berhan University, Ethiopia.

Methods

A cross-sectional study design was carried out among 660 undergraduate female students at Debre Berhan University. To get representative study participants, a stratified sampling technique was used. To collect the data self-administered questionnaire was used. Physical examination and anthropometric measurement were also done. Data were analyzed by using SPSS version 21. Logistic regression analysiswas done. A significant association was declared at a p-value less than 0.05.

Result

A total of 620 students participated in the present study with a response rate of 93.9%. Out of the total study participants, 32.6% (95% CI 2936.5) participants had irregular menstrual cycle. Significant association was found between anemia (AOR=2.1; 95%CI 1.3373.441), alcohol intake (AOR=2.4; 95%CI 1.254.666),<5 sleep hours (AOR=5.4; 95%CI 2.9759.888), 67 sleep hours (AOR=1.9; 95%CI 1.2912.907), Perceived stress (AOR=3.3; 95%CI 1.83225.940), iodine deficiency disorder (IDD) (AOR=3.9; 95%CI 1.32511.636) and underweight (AOR=1.8; 95%CI 1.1092.847) with menstrual irregularity.

Conclusion

The finding of this study reported a low magnitude of menstrual irregularity as compared to previous studies. Students should adopt healthier lifestyle practices (weight control, stress control, anemia control, and avoid alcohol intake) to control menstrual irregularity.

Menstrual irregularity is a common problem among university students. It affects their daily activities. But it lacks attention, especially in developing countries. Additionally, menstrual irregularity is defined differently by different researchers which results in a difference in prevalence. So it is difficult to compare. Therefore this study aims to assess the magnitude and associated factors of menstrual irregularity among undergraduate students of Debre Berhan University, Ethiopia. To avoid the inconsistent definition of menstrual irregularity which is used by different researchers, we used the standard of menstrual irregularity definition which was prepared by the international federation of obstetrics and gynecologist in 2018.

This study uses across sectional study design among 660 undergraduate students of Debre Berhan University, Ethiopia. A self-administered questioner which includes socio-demographic data, menstrual-related questions, lifestyle and behavioral questions, and medical history questions were used to collect data. Besides, physical examination and anthropometric measurement were done.

Of a total 620 students who participated in the study: 202 (32.6%) had menstrual irregularity. Factors that had significant association with menstrual irregularity were, anemia (AOR=2.1; 95%CI 1.3373.441), alcohol intake (AOR=2.4; 95%CI 1.254.666),<5 sleep hours (AOR=5.4; 95%CI 2.9759.888), 67 sleep hours (AOR=1.9; 95%CI 1.2912.907), Perceived stress (AOR=3.3; 95%CI 1.83225.940), iodine deficiency disorder (IDD) (AOR=3.9; 95%CI 1.32511.636) and underweight (AOR=1.8; 95%CI 1.1092.847). In conclusion, the finding of this study reported a low magnitude of menstrual irregularity as compared to previous studies.

The Treatment with Complementary and Alternative Traditional Chinese Medicine for Menstrual Disorders with Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is a frequent gynecological female endocrinopathy, characterized by chronic anovulation, hyperandrogenism, and insulin resistance (IR). Menstrual disorders are one of the main clinical manifestations of PCOS. Other symptoms include hirsutism and/acne. At present, the treatment of PCOS with irregular menstruation is mainly based on oral contraceptives, but there are some side effects and adverse reactions. In recent years, more and more attention has been paid to the complementary and alternative medicine (CAM), which has been widely used in clinical practice. Modern Western medicine is called "conventional medicine" or "orthodox medicine," and the complementary and alternative medicine is called "unconventional medicine" or "unorthodox medicine." CAM includes traditional medicine and folk therapy around the world. Around 65-80% of world health management business is classified into traditional medicine by the World Health Organization, which is used as alternative medicine in Western countries. In our country, Chinese medicine, acupuncture, and other therapies are commonly used due to their significant efficacy and higher safety. Therefore, this review aims to summarize and evaluate the mechanisms and the effect of current complementary replacement therapy in the treatment of menstrual disorders caused by PCOS, so as to provide guidance for the following basic and clinical research.

Changes in Metabolic Profile in the Women with a History of PCOS-A Long-Term Follow-Up Study

Data concerning metabolic consequences in women with polycystic ovary syndrome (PCOS) are delivered mainly by cross-sectional studies. In this research, we re-examined 31 Caucasian PCOS women after a median period of 120.9 months to evaluate the changes in metabolic syndrome components. Clinical examination, oral glucose tolerance test with estimations of glucose and insulin, lipids, sex hormone-binding globulin (SHBG) and sex hormones assessments were performed on two occasions. Additionally, the euglycaemic hyperinsulinaemic clamp technique was used at the baseline to assess insulin sensitivity (M-clamp value). In the end, the median age of participants was 35. We observed an increase in glucose concentrations, a decrease in insulin concentrations and no changes in insulin resistance markers. Final mean glucose, mean insulin, Matsuda index and body mass index (BMI) were correlated with baseline M-clamp value and SHBG (p < 0.01). During the follow-up, no one in the sample developed diabetes. The annualised incidence rate for conversion from normoglycaemia to prediabetes totalled 4.5%. Baseline BMI, free androgen index, fasting glucose and M-clamp value were identified as prediabetes predictors in young PCOS women (respectively, OR = 1.17, OR = 1.42, OR = 1.2, OR = 0.73, p < 0.05). Prediabetes appeared in 76.47% of the women with a final BMI of ≥ 25 kg/m² and in 7.14% of the normal-weight women (p = 0.0001). In conclusion, we report a high rate of adverse change in glucose metabolism in overweight and obese participants, a deterioration in β-cell function and strong correlations between metabolic parameters assessed in the third and the fourth decade in PCOS women, emphasising the role of early intervention to prevent cardiometabolic diseases.

Prevalence of oligomenorrhea among women of childbearing age in China: A large community-based study

OBJECTIVE

To investigate the prevalence and the related characteristics of oligomenorrhea among women within childbearing age in China.

STUDY DESIGN

A large-scale community-based investigation was conducted from 2013 to 2015. A total of 12,964 women aged 18-49 years from 9 provinces/municipalities in China were recruited for healthcare screening in local community health centers. Outcome measures include clinical history, ultrasonographic exam, and hormonal and metabolic parameters.

RESULTS

Among women within childbearing age in China, the prevalence of oligomenorrhea was 12.2% (1,579/12,964). Both sociodemographic factors and medical history were significantly associated with oligomenorrhea (P < 0.05). In such women, the prevalence of obesity, acne, seborrhea, acanthosis, larger ovarian size, and polycystic ovarian morphology was higher when compared with normal women; the prevalence of anti-Mullerian hormone, total testosterone, and androstenedione (P < 0.05) was higher as well. The infertility rates of all women were higher in the oligomenorrhea group (17.2%, 272⁄1,579) than in the non-oligomenorrhea group (9.0%, 1,024⁄11,385), and among women without contraception, for the oligomenorrhea group, the infertility rate was 32.5% (128⁄394), and for the non-oligomenorrhea group, 17.9% (400⁄2,240). In the oligomenorrhea group, 57.4% (156/272) of the women underwent treatments for infertility, which was higher than the non-oligomenorrhea group 36.1% (370/1,024).

CONCLUSIONS

Obesity, acne, seborrhea, acanthosis, larger ovarian size, and polycystic ovarian morphology were significantly associated with oligomenorrhea. The increase of anti-Mullerian hormone, total testosterone, and androstenedione level was also demonstrated in the oligomenorrhea group. Higher prevalence of infertility and medical treatment rate was observed in women with oligomenorrhea.

Reproductive health in women with type 2 diabetes mellitus

As type 2 diabetes mellitus (T2DM) reaches epidemic proportions in the developed world and the age at diagnosis decreases, more women of reproductive age are being affected. In this article, we provide a synoptic view on potential mechanisms and relevant factors underlying menstrual cycle disorders and fertility issues in women with T2DM. The article discusses the function of the hypothalamic-pituitary-ovarian (HPO) axis, the central role of the hypothalamus in the homeostasis of this system, the central modulators of the axis, and the peripheral metabolic signals involved in neuroendocrine control of reproduction. The available literature on the relationship between T2DM and the female reproductive lifespan, menstrual cycle disorders, fertility issues, and gestational health in women with T2DM are also discussed. The data so far indicate that there is a "U-shaped" relationship between menarche, menopause, and T2DM, both early and late menarche/menopause being risk factors for T2DM. Hyperglycemia and its consequences may be responsible for the effects of T2DM on reproductive health in women, but the exact mechanisms are not as yet fully understood; thus, more studies are needed in order to identify factors causing disruption of the HPO axis.

Perceptions, Practices, and Challenges Regarding Menstrual Hygiene Among Women in Karachi, Pakistan: A Comparison Between General Population and Healthcare Workers

Background Menstruation is a natural physiological phenomenon, yet considered a stigmatized subject, particularly in low- and middle-income countries like Pakistan. It is seldom discussed openly, leading to flow of incorrect and incomplete knowledge. The resultant unhealthy practices not only affect the health of the menstruator but can also contribute to considerable psychosocial stress. Menstrual hygiene management (MHM) is an important facet, which is associated with a variety of practices and beliefs in different parts of the world, some of which may not be correct. Identifying these poor methods is necessary in order to rectify them. Hence, our study aimed at determining the level of knowledge, beliefs, and practices pertaining to menstruation in the general female populace of Karachi. Healthcare workers have a potential role in the dissemination of authentic knowledge and practices. Therefore, we assessed and compared the accuracy and reliability of the aforementioned parameters in them and the need for an educational intervention. Methods A descriptive, cross-sectional study was conducted on females visiting the Gynecologic and Obstetrics Outpatient Department (OPD), and healthcare workers employed at Dr. Ruth K. M. Pfau Civil Hospital Karachi and Dow University Hospital Ojha. Using non-probability convenience sampling, a self-structured questionnaire was used to collect data from 353 respondents over a duration of three months from October 2019 to January 2020. Data was tabulated in Statistical Package for the Social Sciences (SPSS) version 24.0 (IBM Corp., Armonk, NY, US). In accordance with the objectives of the study, descriptive analysis was performed, and data was presented in the form of frequencies and percentages.  Results Of the 353 participants, 176 were from the general population and 177 were healthcare workers. At menarche, only 28.4% of the general population and 29.4% of healthcare workers had an idea of menses and proper placement of absorbent. Significantly lower number of females from the general population were found to be aware of tampons and menstrual cups (15.9% and 11.4% respectively) as compared to healthcare workers. For both groups, the source of knowledge was mostly their mother. The study showed that 77.8% of the general population and 66.1% of healthcare workers avoided bathing on certain days during menses, with the most common reason being that "it causes irregular flow". As compared to healthcare workers, a significantly higher number of women from the general population had restrictions of activity (53.4%) and avoided washing of groin area during menstruation (31.2%). Majority of women from the general population mentioned that they were scared when they menstruated for the first time. The most common absorbent used by respondents was pads, followed by cloth. The data showed 64.2% of females from the general population and 28.8% of healthcare workers abstained from eating certain foods. Seeking treatment for gynecological issues was not widespread among respondents. Conclusion Our study demonstrated insufficient menstrual knowledge, and consequent incorrect practices in the female population of Karachi. Destigmatizing menstruation and educating women and young girls is indispensable to overcoming this gap. At the same time, reinforcing the availability of MHM products is long overdue and is a crucial milestone towards facilitation of MHM for the women of Pakistan.

Reproductive Health and Metabolic Parameters in Women with Type 2 Diabetes

Aim: This study evaluated the correlations between metabolic parameters and reproductive health data in women with type 2 diabetes mellitus (T2DM).

Material and methods: In this observational retrospective study, data from the medical records of 324 adult women with T2DM attending their regular diabetes check-ups were collected and analyzed (i.e., anthropometric parameters at first outpatient visit and yearly thereafter, first recorded HbA1c and all HbA1c for the entire follow-up duration, as well as obstetrical/gynecological information).

Results: Age at the diagnosis of T2DM correlated positively with age at menarche (r = 0.21, [95% CI: 0.09, 0.31], p = 0.0002) and age at menopause (r = 0.18 [95% CI: 0.07, 0.29], p <0.01). Age at menarche correlated negatively with mean weight (r = –0.21 [95% CI: –0.31, –0.10], p: 0.0002) and mean BMI (–0.22 [–0.32, –0.11], p <0.0001) over the follow-up time. Patients with shorter time difference between age at menarche and age at onset of T2DM (≤45 years) had higher mean weight (83.8 ± 14.5 kg vs. 78.4 ± 16.0 kg, p = 0.0001), BMI (33.2 ± 5.6 kg/m2 vs. 31.8 ± 5.7 kg/m2, p <0.05), and HbA1c over time (6.9 ± 0.8% vs. 6.6 ± 0.9%, p <0.0001). Women with T2DM with earlier menarche (<12 years old), with irregular menses during their reproductive life, and ≥3 pregnancies had higher overall BMI, but mean HbA1c were not significantly different. However, women diagnosed with T2DM before menopause had a higher mean HbA1c over time (7.1 ± 0.8% vs. 6.7 ± 0.9%, p <0.01).

Conclusion: The BMI correlated with several indicators of reproductive health (earlier menarche, irregular menses, and higher number of pregnancies), while earlier onset of T2DM influenced metabolic control in women with T2DM.

Evaluation of clinical manifestations, health risks, and quality of life among women with polycystic ovary syndrome

This study aimed to evaluate the clinical manifestations and health risks associated with polycystic ovary syndrome (PCOS) and its impact on quality of life (QOL) in Pakistan. A detailed cross-sectional study was conducted on PCOS among women of reproductive age visiting the gynecology and obstetrics and endocrinology departments at primary and tertiary care hospitals located in Abbottabad, Kohat, and Islamabad. In total, 440 patients meeting the inclusion criteria were included. A checklist was specifically designed to identify symptoms and health risks, including adverse drug reactions, complications, irrational prescription or underprescription, and drug-drug interactions. The Short Form-12 questionnaire was used to evaluate the QOL of patients with PCOS. Data collected were analyzed for descriptive and inferential statistics using chi-square test, analysis of variance, and post hoc analysis. All patients exhibited the cardinal symptoms of PCOS, including obesity (n = 352, 80%), acne (n = 296, 67.3), hirsutism (n = 299, 68%), hyperglycemia (n = 278, 63.2%), and irregular menstruation (n = 316, 71.8%). Ultrasonography confirmed that 268 (61%) patients had multiple cysts of >10 mm in diameter. Patients with untreated PCOS exhibited a high prevalence of health risks including hypertension (n = 87, 19.8%), diabetes (n = 268, 60.9%), sleep apnea (n = 11, 2.5%), infertility (n = 146, 33.2%), increased endometrial thickness (n = 21, 4.8%), miscarriages (n = 68, 15.5%), high cholesterol level (n = 85, 19.3%), and hyperandrogenism (n = 342, 77.7%). Most patients exhibited low QOL scores (n = 374, 85%), with depression being the largest contributor to low QOL. Apart from novel results, this study found an association between depression and low QOL in patients with PCOS, suggesting the need for reviewing the management guidelines and psychological health assessment of women with PCOS.

Sex Differences in Nonalcoholic Fatty Liver Disease: State of the Art and Identification of Research Gaps

Despite tremendous research advancements in nonalcoholic fatty liver disease (NAFLD), our understanding of sex differences in NAFLD remains insufficient. This review summarizes the current knowledge on sex differences in NAFLD, identifies gaps, and discusses important considerations for future research. The prevalence and severity of NAFLD are higher in men than in women during the reproductive age. However, after menopause, NAFLD occurs at a higher rate in women, suggesting that estrogen is protective. Sex differences also exist for the major risk factors of NAFLD. In general, animal models of NAFLD recapitulate the sex differences observed in patients, with more severe steatosis and steatohepatitis, more proinflammatory/profibrotic cytokines, and a higher incidence of hepatic tumors in male than female subjects. Based on computer modeling, female and male livers are metabolically distinct with unique regulators modulating sex-specific metabolic outcomes. Analysis of the literature reveals that most published clinical and epidemiological studies fail to examine sex differences appropriately. Considering the paucity of data on sex differences and the knowledge that regulators of pathways relevant to current therapeutic targets for NAFLD differ by sex, clinical trials should be designed to test drug efficacy and safety according to sex, age, reproductive stage (i.e., menopause), and synthetic hormone use. Conclusion: Sex differences do exist in the prevalence, risk factors, fibrosis, and clinical outcomes of NAFLD, suggesting that, while not yet incorporated, sex will probably be considered in future practice guidelines; adequate consideration of sex differences, sex hormones/menopausal status, age, and other reproductive information in clinical investigation and gene association studies of NAFLD are needed to fill current gaps and implement precision medicine for patients with NAFLD.

Effect of phlebotomy versus oral contraceptives containing cyproterone acetate on the clinical and biochemical parameters in women with polycystic ovary syndrome: a randomized controlled trial

BACKGROUND

Reduction of the body iron stores can improve hyperandrogenemia and insulin resistance. This study aimed to compare clinical and para-clinical responses to the treatment of phlebotomy using oral contraceptive pills (OCs) containing cyproterone acetate in women with PCOS.

METHODS

In this randomized clinical trial, 64 patients with PCOS were randomly assigned to the phlebotomy and OCs groups (n = 32 in each group). The intervention group, using a single treatment procedure, underwent venesection of 450 mL of whole blood at the early follicular phase of the spontaneous or progesterone-induced menstrual cycle. The control group received OCs pills for 3 months from the 1th day of spontaneous or progesterone-induced menstrual cycle onwards for 3 weeks, followed by a pill-free interval of 7 days. The women were evaluated after the 3-month intervention. The primary outcome measure was a change in the HOMA-IR and free androgen index (FAI). Secondary outcomes were changes in the Ferriman-Gallwey (FG) score and other clinical, biochemical and hormonal changes from the baseline (pre-treatment) to week 12.

RESULTS

In the phlebotomy group, 27 (84.3%) and in the OCs group 30 (93.7%) of the women completed the 3-month follow-up. The median HOMA-IR significantly decreased from 3.5 to 2.7 in the phlebotomy, and from 3.1 to 2.8 in the OCs group, and the changes were comparable between the groups. Median changes in the FAI significantly decreased in both groups, but the differences were not statistically significant between the groups (P = 0.061). With regard to secondary outcomes, mean FG scores in both groups significantly decreased [from 16.8 (6) to 13.3 (7.4), P < 0.028] in the phlebotomy group and [from 14.3 (7) to 9.8 (7.6) in the OCs group, P = 0.001] after 3 months of treatment, but such changes had no statistically significant differences between the groups. During treatment, menstrual cycles became regular in all women in the OCs group and in 12.27 (44.4%) of the women in the phlebotomy group, and the difference was statistically significant (P = 0.001). Despite no statistically significant differences in lipid profiles between the groups at the baseline, triglycerides were significantly higher in the OCs group compared to the phlebotomy at end of follow up (p = 0.019).

CONCLUSION

Both treatment modalities had similar beneficial effects on insulin resistance and on androgenic profiles. However, OCs was reported more effective in treating menstrual irregularities and phlebotomy had less adverse effects on triglyceride concentrations.

TRIAL REGISTRATION

Code: IRCT2013080514277N1 .

Early Menstrual Factors Are Associated with Adulthood Cardio-Metabolic Health in a Survey of Mexican Teachers

Objectives To evaluate whether age at menarche and time to menstrual regularity were related to cardio-metabolic risk factors in Mexican women. Methods The study population comprised 54,921 women from the 2008-2010 wave of the Mexican Teacher's Cohort. A modified Poisson approach was used; exposures were age at menarche and time to menstrual regularity (< 1 year vs. ≥1 year), and outcomes were prevalent obesity, type 2 diabetes, high blood pressure, and high cholesterol. Results Mean (SD) age of women was 42.1 (7.6) years, and mean (SD) menarcheal age was 12.5 (1.5) years. Compared to women with menarche age 13 years, those with menarche < 9 years had a 65% (95% CI 43-90%); 27% (95% CI 4-55%); and 23% (95% CI 1-49%) higher prevalence of obesity, high blood pressure, and high cholesterol, respectively. For diabetes, there was a U-shaped association; compared to menarche age 13 years, those with menarche < 9 years had an 89% higher prevalence of diabetes (95% CI 39-156%), and those with menarche ≥ 17 years had a 65% higher prevalence (95% CI 16-134%). Among women with regular cycles (n = 43,113), a longer time to menstrual regularity was associated with diabetes (PR = 1.11 with 95% CI 1.02-1.22), high blood pressure (PR = 1.11 with 95% CI 1.06-1.17), and high cholesterol (PR = 1.09 with 95% CI 1.04-1.14). Conclusions for practice Mexican women with earlier and later ages at menarche and/or longer time to menstrual regularity may have higher risk of cardio-metabolic disease in adulthood.

Menstrual disorders and occupational exposures among female nurses: A nationwide cross-sectional study

BACKGROUND

The regularity of menstrual cycles is one of the important indicators of female reproductive health. However, the current evidence on the association of occupational exposures and menstrual disorders is scarce.

OBJECTIVES

This study aims to elucidate the relationship between occupational hazards and menstrual characteristics in female nurses and non-nurse health care workers in China.

DESIGN

We conducted a national cross-sectional study on the reproductive health of female nurses in China.

SETTINGS

A total of 1, 300 medical institutions in 15 provincial administrative regions in China participated in the study.

PARTICIPANTS

There were 8, 904 nurses and 3, 977 non-nurse health care workers who were selected using simple random sampling method.

METHODS

All participants were administered a face-to-face standardized questionnaire, including personal socio-demographic information, occupational activities, and self-reported menstrual characteristics. Univariate and multivariate logistic regressions were used for statistical analyses.

RESULTS

The results demonstrated that 41% of nurses experienced menstrual disorders. We found handling disinfectants was the most significant risk factor for menstrual disorders (OR = 1.53, 95% CI: 1.39-1.68), followed by abnormal workload (OR = 1.28, 95% CI: 1.19-1.39), and occupation as a nurse (OR = 1.28, 95% CI: 1.18-1.40). Noise, prolonged standing or frequent heavy lifting, night work, anti-cancer drug exposure, and overtime work were moderately associated with the occurrence of menstrual disorder (OR > 1).

CONCLUSIONS

This national-wide cross-sectional study has revealed the significant association between menstrual disorders and occupational hazards among female nurses in China.

Evaluation of the Association between Menstrual Cycle Irregularity and Dental Pain or Chewing Discomfort in Women before Menopause

This study was performed to assess the relationship between menstrual irregularity and dental pain or chewing discomfort in women before menopause, using nationally representative data. This study analyzed 4595 participants who were ≥19 years or older, and did not have missing values for outcome variables from the Korean National Health and Nutrition Examination Survey. Tooth pain was considered present if the participant felt throbbing discomfort, pain, or sensitivity when eating hot or cold food or drinking hot or cold beverages. Self-reported oral chewing discomfort was obtained. Adjusted odds ratios and their 95% confidence intervals for tooth pain in the individuals with menstrual cycle irregularity were 1.30 (1.05, 1.62) after adjustment for age, body mass index, drinking, smoking, income, exercise, stress, metabolic syndrome, and the frequency of tooth brushing. Adjusted odds ratios and their 95% confidence intervals for chewing discomfort in the individuals with menstrual cycle irregularity were 1.33 (1.03, 1.72) after adjustment. The association between menstrual irregularity and dental pain or chewing discomfort in women before menopause was proven-after adjusting for confounding factors-by multiple logistic regression analyses. Menstrual cycle irregularity may be considered a potential risk indicator for dental pain or chewing discomfort in Korean women before menopause.

Waist Circumference as a Predictor for Menstrual Cycle Disturbance Among College Student

Introduction: Menstrual cycle disturbance is the sign of a reproductive health problem, yet the cause tends to be multifactorial. This study aimed to analyze the risk factors of menstrual cycle disturbance which related to nutrition status among college students.Methods: This was an observational analytical study with a cross-sectional approach. There were 59 participants taken as samples according to inclusion criteria using proportionate stratified random sampling. Data were analyzed with chi-square and multiple logistic regression test.Results: Results found that 35.6% of participants experienced menstrual cycle disturbance. Bivariate analysis showed significant correlation between body fat percentage (p= 0.038, OR: 2.417) and waist circumference (p= 0.003, OR: 2.956) with menstrual cycle disturbance, otherwise no correlation found between Body Mass Index (BMI) (p= 0.052, OR: 2.145), subcutaneous fat thickness (p= 1, OR: 1.279), and total cholesterol levels (p= 1, OR: 1.063) with menstrual cycle disturbance. Multiple logistic regression analysis showed that waist circumference became determinant factor among other variables predicting menstrual cycle disturbance in this study (p= 0.002, OR: 7.260).Conclusion: Waist circumference and body fat percentage were both risk factors of menstrual cycle disturbance, yet waist circumference was found being a determinant predictor to predict menstrual cycle disturbance among college student. Female students may pay particular attention to their waist circumference for detection of reproductive health problem earlier, especially regarding menstruation cycle disturbance.

Interaction between CYP1A1/CYP17A1 polymorphisms and parental risk factors in the risk of hypospadias in a Chinese population

Hypospadias (HS) is a common congenital malformation of the genitourinary tract in males and its etiology is viewed as multifactorial, and studies about gene-environment interaction in the etiology of HS are rare. A total of 152 cases and 151 controls were selected in the present study. Information before and during pregnancy from questionnaires finished by mothers of subjects were extracted, and the relating data were analyzed to determine the risk factors of HS. Meanwhile, maternal genomic DNA was genotyped for the single nucleotide polymorphisms (SNPs) of CYP1A1 rs1048943 and CYP17A1 rs4919686. Results of multivariable logistic regression analyses showed that several factors were associated with hypospadias risk. Analysis of the distributions of SNPs in CYP1A1 and CYP17A1 genes showed that the mutant genotype CC (OR = 4.87) of CYP1A1 rs1048943, and mutant genotype CC (OR = 5.82), recessive genotype AC + CC (OR = 2.17) and allele C (OR = 1.77) of CYP17A1 rs4919686 significantly increased the risk of HS. In addition, the additive gene-environment interactions were also found in several models. Several maternal risk factors that are associated with HS risk can interact with CYP1A1/CYP17A1 polymorphisms, which lead to infants vulnerable to occurrence of HS in Chinese populations.

Associations of mental health and sleep duration with menstrual cycle irregularity: a population-based study

This study aimed to examine whether the characteristics of mental health and sleep duration, alone or in combination, are associated with menstrual cycle irregularity. This population-based, cross-sectional study analyzed the data from 4445 women aged 19-49 years, who participated in the Korea National Health and Nutrition Examination Survey 2010-2012. A structured questionnaire was used to assess mental health characteristics, sleep duration, and menstrual cycle irregularity. A multivariable logistic regression analysis was performed. High stress, depressive mood, and suicidal ideation were associated with increased risk of menstrual cycle irregularity after adjusting for confounding variables (odds ratio [95% confidence interval] = 1.33 [1.07-1.65], 1.56 [1.17-2.07], and 1.37 [1.01-1.87], respectively). Short sleep duration (≤ 5 h a day) was significantly associated with higher odds of severe menstrual cycle irregularity with menstrual interval of greater than 3 months (2.67 [1.35-5.27]). Participants with sleep duration of ≤ 5 h a day with psychological stress, depressive mood, or suicidal ideation had higher odds of menstrual cycle irregularity (1.96 [1.26-3.05], 2.86 [1.50-5.44], and 2.25 [1.18-4.29]). This study suggests positive associations of mental health problems and short sleep duration with menstrual cycle irregularity among Korean female adults. Therefore, strategies to deal with psychological stress, depressive mood, and sleep duration are needed for improving the reproductive health of women suffering from menstrual disturbances.