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

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

BACKGROUND

Regularity of menstrual cycles is an important indicator of women's health and fertility, and female workers are exposed to several factors, such as sleep disorders, stress, and shift work, that affect their menstrual regularity. This makes it necessary to comprehensively identify the determinants of menstrual regularity. Therefore, this study identified the factors affecting menstrual regularity among female workers from physiological, psychological, and situational dimensions based on the theory of unpleasant symptoms.

METHODS

This was a secondary analysis of the 2010-2012 Korea National Health and Nutrition Examination Survey and utilized the data of 2418 female workers. Based on the theory of unpleasant symptoms, physiological factors included age, age at menarche, childbirth experience, body mass index, and sleep duration. Psychological factors included stress level, depressive mood, and suicidal ideation. Situational factors included education level, household income, consumption of alcohol, engagement in smoking, and work schedule. The χ²-test and hierarchical logistic regression analysis were performed, reflecting the complex sample design.

RESULTS

Age at menarche, childbirth experience, and body mass index among physiological factors and education level and work schedule among situational factors were found to be related to menstrual regularity. A higher risk of menstrual irregularities was found among those who had given birth (versus those who had not), had a high age at menarche (versus those with a low age at menarche), were obese (versus those who had a normal body mass index), had elementary school-level or lesser educational achievements (versus those with college graduate-level or higher educational achievements), and who had a shift work schedule (versus those with a fixed schedule).

CONCLUSIONS

Intervention is needed for female workers who have these risk factors, and special attention must be paid to female workers who have a shift work schedule. Additionally, since body mass index can be controlled, intervention concerning body mass index is necessary to reduce menstrual irregularity.

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

OBJECTIVES

Menstrual cycle symptoms are very common in female athletes. However, more evidence about the association between menstrual cycle characteristics and symptoms with sleep and mental health in athletes needs to be gathered. This study aimed to examine this association in German exercising women and athletes.

DESIGN

322 women (mean age: 23.13 ± 4.36) participated in a cross-sectional study. The survey included the Menstrual Symptom index (MSi), the Depression Anxiety Stress Scales (DASS-21), the Pittsburgh Sleep Quality Index (PSQI), and the Athletes Sleep Behavior Questionnaire (ASBQ). Additionally, demographic, sport-specific data and further menstrual cycle characteristics were examined. Multiple regression models were used for the statistical analyses.

RESULTS

The MSi score demonstrated a highly significant (p < 0.001) positive association with Depression, Anxiety, Stress, PSQI, and ASBQ. The most prevalent menstrual cycle symptoms were cravings/increased appetite, mood changes/anxiety, and tiredness/fatigue. A difference between individual and team sport athletes could not be found. Moreover, there was no association between the constructs and menses length, irregularity, or heaviness of bleeding.

CONCLUSIONS

Menstrual cycle symptoms occur very frequently in female athletes. In this study, they were related to mental health, sleep quality, and sleep behavior, regardless of the cycle phase. This evidence demonstrates the relevance of considering the menstrual cycle and menstrual symptoms in future studies with female athletes and in sport practice.

The impact of COVID-19 on menstrual cycle's alterations, in relation to depression and sleep disturbances: a prospective observational study in a population of medical students

BACKGROUND

The sars-Cov-2 pandemic has determined psychological stress, particularly in the young population of medical students. We studied the impact of the pandemic on menstrual cycle alteration in relation to psychological stress, presence of depression, sleep disturbances and post-traumatic stress, on a population of medical students.

METHODS

293 female students at the Faculty of Medicine and Psychology of the Sapienza University of Rome (23.08 years old ± 3.8) were enrolled. In March 2021, one year after quarantine, a personal data sheet on menstrual cycle, examining the quality of the menstrual cycle during the pandemic, compared to the previous period. Concomitantly, the Beck Depression Inventory and the Impact of Event Scale have been administered. A Pearson chi-square test was assessed to evaluate the difference between the characteristics of the menstrual cycle and the scores obtained with the questionnaires.

RESULTS

A statistically significant association between menstrual alterations and stress during pandemic had been found. The onset of depressive symptoms and sleep disturbances was observed in 57.1% and in 58.1% of young women with cycle's alterations, respectively. Amenorrhea was three times more common in female students with depressive symptoms, premenstrual syndrome had a significant correlation with both depression and sleep disturbances. The pandemic has been related to menstrual alterations, with depressive symptoms and sleep disorders. Amenorrhea is connected to depression, as observed on the functional hypothalamic amenorrhea.

CONCLUSIONS

The pandemic affected the menstrual cycle as well as the depressive symptoms and sleep. Practical implications of the study lead to the development of strategies for psychological intervention during the pandemic experience, in order to help medical trainees, with specific attention to women's needs. Future studies should analyze the impact of other types of social stress events, on sleep, depression and the menstrual cycle beside the pandemic.

Sleep duration has a limited impact on the prevalence of menstrual irregularities in athletes: a cross-sectional study

Background

This study aimed to investigate the relationship between the prevalence of menstrual irregularities, energy intake, and sleep deprivation among female athletes.

Methods

A total of 128 female athletes, with an average age of 19.2 ± 1.2 years, participated in the study and tracked their food intake over a three-day period. Menstrual status and sleep duration were assessed using a questionnaire, and psychological anxiety was evaluated using the State and Trait Anxiety Inventory (STAI). These were measured once during the investigation. The impact of sleep status on state anxiety and daily energy intake was examined using the T-test. A generalized linear model (GLM) with a log link function was employed to investigate the effects of sleep deprivation on the presence of menstrual irregularities.

Results

As the results of the present study, sleep deprivation significant increased both state and trait anxiety (p < 0.05), as well as affecting energy intake (p < 0.05), particularly protein and carbohydrate intakes (p < 0.05). However, GLM analysis indicated that while sleep deprivation did not directly influence the prevalence of menstrual irregularities (p > 0.05), state anxiety emerged as a significant factor impacting the prevalence of menstrual irregularities (p < 0.05).

Conclusions

The results of the present study suggest a potential pathway wherein sleep deprivation might elevate state anxiety levels, consequently indirectly contributing to an increase the probability of menstrual irregularities. In conclusion, the results of the presents study provide novels insights suggesting that sleep deprivation might directly increase state anxiety and indirectly affect the prevalence of menstrual irregularities. Hence, decreased sleep duration might be related to mental health issues and the prevalence of menstrual irregularities both significant concerns among female athletes. Future studies will play a crucial role in further elucidating how sleep patterns impact the health and well-being of female athletes.

Disease clusters subsequent to anxiety and stress-related disorders and their genetic determinants

Anxiety/stress-related disorders have been associated with multiple diseases, whereas a comprehensive assessment of the structure and interplay of subsequent associated diseases and their genetic underpinnings is lacking. Here, we first identify 136, out of 454 tested, medical conditions associated with incident anxiety/stress-related disorders attended in specialized care using a population-based cohort from the nationwide Swedish Patient Register, comprising 70,026 patients with anxiety/stress-related disorders and 1:10 birth year- and sex-matched unaffected individuals. By combining findings from the comorbidity network and disease trajectory analyses, we identify five robust disease clusters to be associated with a prior diagnosis of anxiety/stress-related disorders, featured by predominance of psychiatric disorders, eye diseases, ear diseases, cardiovascular diseases, and skin and genitourinary diseases. These five clusters and their featured diseases are largely validated in the UK Biobank. GWAS analyses based on the UK Biobank identify 3, 33, 40, 4, and 16 significantly independent single nucleotide polymorphisms for the link to the five disease clusters, respectively, which are mapped to several distinct risk genes and biological pathways. These findings motivate further mechanistic explorations and aid early risk assessment for cluster-based disease prevention among patients with newly diagnosed anxiety/stress-related disorders in specialized care.

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

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

The Relationship Between Mood and Sleep in Different Female Reproductive States

Mood and sleep are tightly interrelated. Mood and sleep symptoms and disorders are more common in women than in men and often associated with reproductive events. This article reviews the current literature on the reciprocal relationships between mood and sleep across reproductive phases in women, such as menstrual cycle and related disorders, pregnancy, climacteric, and use of hormonal contraception and hormone replacement therapy. Mood and sleep symptoms seem to covary in relation to physiologic and pathologic reproductive conditions, although the relationship seems more clear for subjective than objective sleep.

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.

Preconception menstrual cycle disorder and antenatal depression: a cross-sectional study with prerecorded information

OBJECTIVES

This study aimed to evaluate the association between pre-pregnancy menstrual cycle characteristics (i.e. cycle-length variability and cycle length) and antenatal depression.

METHODS

This study retrieved the data from the baseline survey of the randomized controlled trial with pregnant women at 16-20 weeks gestation who used a pregnancy tracking app. The antenatal depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS) at 16-20 weeks gestation, and the cutoff point of 10/11 was adopted. Pre-conceptional menstrual cycle information was obtained via a prerecorded period tracking app. Cycle-length variability was defined as the average difference in the lengths between cycles, dichotomized into regular (≤6 days) and irregular (>6 days). Cycle length was coded as a categorical variable: <25 days, 25-26 days, 27-29 days (regular), 30-31 days, 32-33 days, and 34+ days. The associations of cycle disorders with EPDS scores were examined using regression analysis and a multiple logistic regression model adjusted for covariates.

RESULTS

The total of 3473 participants were analyzed in this study. Irregular cycle variability (>6 days) was significantly associated with high EPDS scores (adjusted: standardized beta = 0.049, p = 0.003) and with high cutoff EPDS scores (over 11) (adjusted OR = 1.40 [1.02-1.94], p = 0.038) but not with cycle length.

CONCLUSION

Irregular menstrual cycle before pregnancy was associated with depression during pregnancy. The health of the menstrual cycle during preconception needs to be further explored to promote healthy maternal mental health.

Effects of physical activity and sleep duration on fertility: A systematic review and meta-analysis based on prospective cohort studies

Objective

Subfertility is a common problem for couples in modern society. Many studies have confirmed that lifestyle factors can affect fertility although there are conflicting conclusions relating to the effects of physical activity and sleep duration on fertility. In this study, we aimed to summarize and analyze the available evidence.

Methods

PubMed, Web of Science, Cochrane, and Embase databases (as of October 14, 2022) were systematically searched for eligible prospective cohort studies. Data were extracted and effect values were combined. We also performed methodological quality and bias risk assessments for all the included studies.

Results

A total of 10 eligible articles were included in our analysis; seven investigated the relationship between physical activity and fertility, and three investigated the effect of sleep duration on fertility. Compared with the lowest level of physical activity, high intensity physical activity (the highest levels of physical activity) was negatively correlated with fertility [odds ratio (OR) = 0.84; 95% confidence interval (CI): 0.70, 1.00, I ² = 64%]. However, we did not find an association between moderate intensity physical activity and fertility (OR = 1.09; 95% CI: 0.98, 1.22, I ² = 60%). We observed an inverse association between limited sleep duration (≤ 7 h) and fertility (OR = 0.92; 95% CI: 0.84, 1.00, I ² = 0%) compared with 8 h of sleep. The relationship between long sleep duration (≥9 h) and fertility was not statistically significant (OR = 0.85; 95% CI: 0.60, 1.21, I ² = 83%). According to the Newcastle-Ottawa Scale score, the overall quality of the research articles included was ranked as medium to high (6-9). Through GRADE system, the quality of evidence for the impact of high intensity physical activity and limited sleep duration on fertility was moderate, while the quality of evidence for the impact of moderate intensity physical activity and long sleep duration on fertility was low.

Conclusion

The current evidence shows that high intensity physical activity and limited sleep time are negatively related to fertility. But there was great heterogeneity among studies, and the quality of research evidence was low to median. Thus, further high-quality research is needed to confirm this conclusion.

PROSPERO registration number

CRD42022298137.

The potential impact of COVID-19 on women's reproductive and mental health: a questionnaire study

The pandemic has transformed the social and economic certainties of people's lives imposing stay-at-home necessities which began in mid-March 2020. This cross-sectional observational study was performed to study the impact of COVID-19 on the reproductive and mental health of women before and after the pandemic. A digital survey form of 50 questions was developed using the Google platform andshared over 4 weeks in August 2021. Paired t-test was used to compare the variables before and after the COVID-19. Of the 450 respondents, 443(98.44%) completed the questionnaire. There was a significant difference in the average duration of menstruation and the proportion of women with a cycle length of 35-45 days increased from 5 to 8% of women after the pandemic. Painful periods (28.5 to 59.5%, p = .002) and weight increased (39.2%, p < .001) after the pandemic. Stress also increased after the pandemic (p < .001). The pandemic has significantly impacted the reproductive and mental health of women. The long-term health significances of this are yet to be determined.Impact StatementWhat is already known on this subject? The pandemic has transformed the social and economic certainties of people's lives, mainly women. Women's health significantly mental health is affected by the lack of adequate domestic and emotional support which may further consequences like the risk of anxiety and depression.What do the results of this study add? Our study shows the effect of COVID-19 on women's reproductive and mental health before and after the pandemic. Inadvertent forfeits women's health and well-being and instabilities in reproductive function as raised pressure causes irregularities in the menstrual cycle.What are the implications of these findings for clinical practice and/or further research? Women have suffered from significant mental and reproductive problems during the first and second waves of the COVID-19 pandemic. But, the long-term effects of these are not unknown. Upcoming work should comprise study throughout the pandemic and the long-term impact on women's health.

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.

Sleep Behavior and Self-Reported Infertility: A Cross-Sectional Analysis Among U.S. Women

OBJECTIVE

To investigate the associations between sleep behaviors and female infertility.

METHODS

We conducted a cross-sectional study composed of 2175 U.S. women 18-44 years of age from the National Health and Nutrition Examination Survey (NHANES) (2015-2018). Bedtime/waketime and sleep duration were extracted from the sleep disorder questionnaire. Self-reported infertility was defined as a binary variable based on the participants' response to the question, "Have you ever attempted to become pregnant over a period of at least a year without becoming pregnant?". Multivariate logistic regression analyses were done to explore the relationship between sleep behaviors and female infertility.

RESULTS

Bedtime (OR=1.24; 95% CI, 1.10-1.40, P = 0.001) and waketime (OR=1.14; 95% CI, 1.01-1.28, P = 0.037) were associated with infertility. Waketime of 08:00 was the inflection point, above which the probability of infertility increased rapidly (OR=1.41; 95% CI, 1.11-1.79, P = 0.004). Sleep-wake behavior was significantly associated with infertility (OR=1.34; 95% CI, 1.16-1.53, P < 0.001) and participants with early-bed/early-rise behavior had the lowest risk.

CONCLUSIONS

Among U.S. women 18-44 years of age, bedtime and waketime were significantly linearly and non-linearly correlated with infertility, respectively. Early-bed/early-rise behavior was associated with the lowest infertility rate. Further study is needed because the timing of sleep behaviors are modifiable factors and could be a novel strategy to cope with infertility.

Relationship among Nutritional Intake, Anxiety, and Menstrual Irregularity in Elite Rowers

There is evidence showing that excessive mental stress is detrimental to the menstrual period, and it is known that many elite athletes are highly susceptible to mental anxiety. This study investigated the nutritional intake and mental anxiety of 104 relatively young elite endurance athletes aged 16 to 23 years and used a multiple logistic model to examine the factors that might be related to menstrual irregularity. Calcium intake was marginally associated with the occurrence of menstrual irregularities (odds ratio = 1.004, p = 0.030), whereas there were strong associations between body mass or state anxiety and menstrual irregularities in elite athletes (odds ratio = 0.557, p = 0.035 for body mass; odds ratio = 1.094, p = 0.006 for state anxiety). These results suggested that state anxiety would be an important factor causing menstrual irregularity in elite endurance athletes. It is recommended that elite athletes are monitored for anxiety levels and develop a strategy for stress management.

Impact of Stress on Menstrual Cyclicity During the Covid-19 Pandemic: A Survey Study

Background: The Covid-19 pandemic has introduced acute and persistent psychosocial stressors for many individuals, with emerging gender differences that suggest women may be at greater risk for poorer mental health outcomes. This may have unintended consequences for women's overall health and well-being, including disruptions to reproductive function as elevated stress is often associated with menstrual cycle irregularities. The objective of this study was to determine if and how the Covid-19 pandemic and its related stressors have impacted women's menstrual cyclicity. Materials and Methods: An online survey instrument designed to capture self-reported information on menstrual cycle changes and perceived stress levels was distributed between July and August 2020. A total of 210 women between the ages of 18-45 years met stringent inclusion and exclusion criteria and completed the survey. Results: Of the 210 respondents, more than half (54%) reported changes in their menstrual cycles. These included changes in menstrual cycle length (50%), the duration of menses (34%), and changes in premenstrual symptoms (50%). Respondents with high perceived stress scale (PSS) scores during Covid were more likely to experience a longer duration of menses (p < 0.001) and heavier bleeding during menses (p = 0.028) compared with those with moderate Covid PSS scores. Conclusions: By uncovering a trend in increased menstrual cycle irregularities during the early months of the Covid-19 pandemic, this study contributes to our understanding of the implications that the pandemic may have on women's reproductive health.

Impact of sleep on female and male reproductive functions: a systematic review

OBJECTIVE

To evaluate the association of sleep parameters on female and male reproductive functions.

DESIGN

Systematic review.

SETTING

Not applicable.

PATIENT(S)

Female and male individuals, either healthy or infertile.

INTERVENTION(S)

Relevant articles were identified according to the The Preferred Reporting Items for Systematic Reviews and Meta-analyses recommendations in the PubMed and EMBASE databases from January 1, 2000 to June 8, 2020.

MAIN OUTCOME MEASURE(S)

The association between sleep and ovary function, spermatic function, natural fertility, and in vitro fertilization (IVF) outcomes was assessed.

RESULT(S)

A total of 33 studies that looked at the association between sleep and either ovary function (n = 10), spermatic function (n = 12), natural fertility (n = 5), or IVF outcomes (n = 6) were included. Overall, female and male fertility, as well as IVF outcomes may be affected by short sleep duration, evening chronotype, or shift/night work schedules. However, the results were hardly comparable due to the heterogeneous study methodologies used.

CONCLUSION(S)

Sleep may be an original and innovative parameter to consider in the reproduction field. Further investigation is needed to elucidate how sleep and fertility are interrelated and how sleep might constitute a useful modifiable target in infertility management.

Cognitive Behavioral Therapy for Insomnia and Women's Health: Sex as a Biological Variable

Differences in sleep for men and women begin at a very early age, with women reporting poorer sleep and having a higher risk for insomnia compared with men. Women are particularly vulnerable to developing insomnia during times of reproductive hormonal change. Sleep across the woman's lifespan and special treatment considerations for using cognitive behavioral therapy for insomnia (CBT-I) in women will be addressed in this review.