Network structure of complex interactions of premenstrual syndrome and influencing factors in young adult women

BACKGROUND

In the transition phase from adolescence to adulthood, premenstrual syndrome (PMS) occurs more commonly, with a variety of symptoms. The occurrence of PMS may be the result of a combination of demographic, physiological, psychological and sociological factors. This study aimed to identify the central symptoms of PMS, and explored the complex influencing factors especially the one-to-one inter-relationships factors with specific symptoms.

METHOD

This is a cross-sectional study conducted in mainland China. 3458 young adult women were assessed. Using the Premenstrual Syndrome Scale (PSS) to assess the PMS, and PSS score was over 6 divided into PMS group, and vice versa. Influencing factors were assessed by a set of self-reported questionnaire. Network analysis was used to examined the interplay of PMS, whilst also considering the influencing factors of PMS.

RESULTS

In summary, 1479 participants were in PMS group. Anxiety had the highest strength centrality (1.12/1.09), shown higher centrality in the both network. Swelling of the hands or feet also shown higher strength centrality (0.89) in PMS group. PMS is associated with a higher history of dysmenorrhea, and neurotic personality. Neurotic personality - depressed mood/nervousness (0.27/0.23), history of dysmenorrhea - abdominal distension (0.21), had significantly higher weight than other edges in PMS group.

CONCLUSION

Anxiety was the most central symptom in the network, and was closely associated with other symptoms like depressed mood, which provided additional evidence for the centrality of emotional features in PMS. Moreover, the influencing factors of PMS combined demographic, physiological, psychological, and sociological factors. According to the central symptoms and factors affecting the specific PMS symptoms in young adult women, targeted intervention is helpful to prevent and alleviate PMS.

LIMITATION

Cross-sectional design cannot infer the directionality of the associations between variables. All data is self-reported with recall bias and the edge weights across the constructs of influencing factors and PMS were fairly small.

Association between dietary patterns and premenstrual disorders: a cross-sectional analysis of 1382 college students in China

Premenstrual disorders (PMDs) are common among young women and have been linked to metabolic dysfunction. Limited evidence exists regarding the associations between dietary patterns and PMDs. This cross-sectional study involved young female adults recruited from the Care of Premenstrual Emotion (COPE) cohort study in China to examine the relationship between dietary patterns and PMDs in young adulthood. PMDs were assessed using the Calendar of Premenstrual Experiences, and the consumption frequency of 12 common food groups was evaluated using a Food Frequency Questionnaire. We used principal component analysis to identify the dietary patterns and employed logistic regression to investigate the association between dietary pattern adherence and PMDs. The study included 1382 participants, of whom 337 (24.4%) reported having PMDs. Three dietary patterns were identified and named based on regional food preferences: the Traditional North China Diet (TNCD), the Traditional South China Diet (TSCD), and the Lacto-ovo Vegetarian Diet (LVD). The TSCD, characterized by high consumption of rice, red meat, and poultry, showed a significant inverse association with PMDs. This pattern held good for both premenstrual syndrome and premenstrual dysphoric disorder. These findings suggest that targeted dietary modifications could serve as a localized strategy for PMDs prevention.

The effect of perceived stress on menstrual complaints in university students

Studies have examined the effect of stress on dysmenorrhea and premenstrual syndrome. For this reason in this study, it was aimed to determine the impact of stress on menstrual symptoms (adverse effects, abdominal pain, and coping methods). This descriptive and correlational study was conducted with 351 university students in Turkey by sharing the link to the questionnaire on online social media platforms. It was determined that those whose income was equal to their expenses had lower menstrual symptoms, having a chronic disease and smoking increased menstrual symptoms (F = 3.19/p = .04; t = 2.33/p = .02; t = 3.96/p = .00). The study identified that there was a positive low-level correlation (r: 0.25, p < .01) between the Perceived Stress Scale-14 and the Menstruation Symptom Questionnaire, and the 6.5 percent change in menstrual symptoms was explained by perceived stress. In the study, it is thought that stress affects the experience of menstrual symptoms. Therefore, it is believed that by providing training on stress and effective coping methods by midwives and nurses, menstrual symptoms can be reduced, contributing to women's health. For future studies, it is recommended to examine the effects of stress coping methods training on stress and menstrual complaints.

Perimenstrual Asthma and Premenstrual Disorders in Adolescents with Asthma

BACKGROUND

Asthma is a common chronic disease in pediatric patients, and perimenstrual asthma (PMA), refers to the worsening of asthma symptoms during the perimenstrual period, mainly reported in adult women. However, there is limited information regarding the exacerbation of symptoms in the presence of premenstrual disorders (PMDs) in adolescents. The aim of this pilot observational study was to investigate the frequency and potential association of PMA and PMDs in a clinical sample of adolescents with asthma.

PATIENTS AND METHODS

The study included 50 adolescents (aged 12-18 years, mean 16.08 ± 2.35) with asthma and at least 2 years of gynecological age. The participants completed the Asthma Control Test (ACT) to assess asthma control (considered pathological if ACT score < 20) and the modified Premenstrual Symptoms Screening Tool for Adolescents (PSST-A) to evaluate PMDs.

RESULTS

A total of 75.5% of adolescents reported PMA. The prevalence of premenstrual symptoms did not significantly differ between the PMA and no-PMA group. Among the study sample, 38.7% experienced symptoms indicative of moderate/severe premenstrual syndrome, and 8.1% exhibited symptoms of premenstrual dysphoric disorder. Compared with the no-PMA group, patients with PMA showed a significant impairment in daily and home activities (P = .03 and P = .02, respectively) and exhibited a difference in the frequency of asthma symptoms (P < .001) and medication use (P ≤ .01).

CONCLUSION

Perimenstrual worsening of asthma symptoms may be common in adolescents with a severe form of asthma. Prospective data collection through menstrual diaries is necessary to further explore the association between PMA and PMDs. Identifying early risk factors for PMA could facilitate the development of preventive strategies and early interventions for adolescents with asthma.

The prevalence of premenstrual dysphoric disorder: Systematic review and meta-analysis

BACKGROUND

Premenstrual dysphoric disorder is characterised by symptoms confined to the premenstrual phase of the menstrual cycle. Confirmed diagnosis requires prospective monitoring of symptoms over two cycles, otherwise the diagnosis is provisional. We aimed to measure the point prevalence of premenstrual dysphoric disorder.

METHODS

We searched for studies of prevalence using MEDLINE, EMBASE, PsycINFO and PubMed. For each study, the total sample size and number of cases were extracted. The prevalence across studies was calculated using random effects meta-analysis with a generalised linear mixed model. Potential sources of heterogeneity were explored by meta-regression and subgroup analyses. Pre-registration was with PROSPERO (CRD42021249249).

RESULTS

44 studies with 48 independent samples met inclusion criteria, consisting of 50,659 participants. The pooled prevalence was 3.2 % (95 % confidence intervals: 1.7 %-5.9 %) for confirmed and 7.7 % (95 % confidence intervals: 5.3 %-11.0 %) for provisional diagnosis. There was high heterogeneity across all studies (I2 = 99 %). Sources of heterogeneity identified by meta-regression were continent of sample (p < 0.0001), type of sample (community-based, university, high school) (p = 0.007), risk of bias (p = 0.009), and method of diagnosis (p = 0.017). Restricting the analysis to community-based samples using confirmed diagnosis resulted in a prevalence of 1.6 % (95 % confidence intervals: 1.0 %-2.5 %), with low heterogeneity (I2 = 26 %).

LIMITATIONS

A small number of included studies used full DSM criteria in community settings.

CONCLUSIONS

The point prevalence of premenstrual dysphoric disorder using confirmed diagnosis is lower compared with provisional diagnosis. Studies relying on provisional diagnosis are likely to produce artificially high prevalence rates.

Menstrual and psychosocial characteristics associated with high-risk of premenstrual dysphoric disorder among university students: a cross-sectional study

Up to 92 percent of Chinese women of reproductive age have pre-menstrual syndrome (PMS). The severe form of PMS (i.e. pre-menstrual dysphoric disorder [PMDD]) negatively affects women's everyday functioning and reproductive health. This study examined the relationships between menstrual, psychosocial characteristics and the risk of PMDD among young Chinese women. A cross-sectional online survey was conducted among Chinese university students in Hong Kong. Logistic regression was used to compute adjusted odds ratio (aOR) for the association of high-risk PMDD with menstrual and psychosocial characteristics. A total of 541 Chinese university students were recruited. Approximately 53 percent of female students were at high risk of developing PMDD. The high-risk PMDD group was significantly associated with a heavy volume of menstrual flow (aOR = 2.17, 95 percent CI 1.06-4.45), irregular menstrual cycle (1.72, 1.17-2.52), high dysmenorrhea (2.80, 1.95-4.04) and older ages of menarche (0.67, 0.45-0.98) in the menstrual characteristics. In the psychosocial characteristics, high-risk PMDD was significantly associated with symptoms of anxiety (2.19, 1.48-3.32) and depression (2.22, 1.48-3.32), high loneliness (1.94, 1.34-2.79) and low resilience (2.21, 1.52-3.23) levels. Additionally, resilience had a potential moderating effect on the associations between the high risk of PMDD and anxiety, depression and loneliness. The development and delivery of interventions that can enhance resilience and manage psychological distress would be beneficial for young Chinese women's reproductive health.

Mediating effect of suicidal ideation in the association between child abuse and premenstrual syndrome among female adults

INTRODUCTION

Premenstrual symptoms encompass a range of physical, emotional, and behavioral changes that cyclically occur before menstruation. Childhood abuse has been associated with subsequent mental health challenges, yet its relationship with exacerbating premenstrual symptoms remains an understudied area. Furthermore, suicidal ideation often emerges from traumatic backgrounds such as child abuse, creating another layer of complexity. Given the rising suicide rates in Lebanon, and the concurrent increase in reported child abuse cases, this research focuses on the role of suicidal ideation as a mediator between child abuse and premenstrual syndrome.

METHODS

This cross-sectional study involved 915 female university students in Lebanon. Participants completed an online questionnaire encompassing demographic details, health lifestyle, the Premenstrual Symptoms Screening Tool (PSST), Columbia-Suicide Severity Rating Scale (C-SSRS), and Child Abuse Self Report Scale (CASRS-12). The mediation analysis was conducted using PROCESS MACRO v3.4 model 4; three pathways derived from this analysis: pathway A from the independent variable to the mediator, pathway B from the mediator to the dependent variable, Pathway C indicating the direct effect from the independent to the dependent variable.

RESULTS

The results of the mediation analysis showed that suicidal ideation mediated the association between all types of child abuse and the presence of PMS. Higher psychological (Beta = 0.21; p < 0.001), neglect (Beta = 0.02; p = 0.017), physical (Beta = 0.19; p < 0.001) and sexual (Beta = 0.20, p < 0.001) child abuse were significantly associated with higher suicidal ideation, which was significantly associated with the presence of PMS (Beta = 0.38, p = 0.001; Beta = 0.57, p < 0.001; Beta = 0.45, p < 0.001; and Beta = 0.50, p < 0.001) respectively. Finally, higher psychological (Beta = 0.17, p < 0.001), physical (Beta = 0.11, p = 0.024), but not sexual (Beta = 0.07, p = 0.198) child abuse was directly and significantly associated with the presence of PMS, whereas higher neglect (Beta = -0.06, p = 0.007) was significantly associated lower odds of having PMS.

CONCLUSION

This study highlights the mediating role of suicidal ideation in the complex association between different types of childhood abuse and premenstrual symptoms. The findings emphasize the need for trauma-informed care and tailored interventions to address the diverse impact of these factors. Recognizing the intricate relationships between child abuse, suicidal ideation, and PMS can aid healthcare providers in comprehensively addressing young women's mental and reproductive well-being. Trauma-informed care, tailored interventions and awareness of potential connections between childhood maltreatment are essential in managing these complex challenges.

The impact of comorbid premenstrual syndrome or premenstrual dysphoric disorder on the clinical characteristics of bipolar disorder among Han Chinese women

Bipolar disorder (BD) is commonly comorbid with premenstrual syndrome (PMS) or premenstrual dysphoric disorder (PMDD). However, little is known about their relationship. This study aimed to assess the impact of comorbid PMS or PMDD on the clinical characteristics of BD. A cross-sectional study was conducted on 262 women with BD. PMS and PMDD were screened with the Premenstrual Symptoms Screening Tool (PSST). Symptomatic features were assessed with Hamilton Depression Scale (HAMD), Young Mania Rating Scale (YMRS), and atypical features by the depressive episode section of SCID-I/P. The rates of PMS and PMDD among BD were 57.6% and 20.6% according to PSST. No significant difference in the rates of PMS and PMDD was found between BD I, BD II, and BD-NOS. Compared to BD patients without PMS or PMDD, patients with comorbid BD and PMS or PMDD were younger, more educated, had a higher risk of OCD, had an earlier age of onset, scored higher on HAMD-17 and its sub-scale of anxiety/somatization, cognitive deficit, psychomotor retardation, and were more likely to have increased appetite and leaden paralysis. In addition, patients with comorbid BD and PMDD were less likely to experience traumatic life events, more likely to have family history of mental disorders and have inflammatory or autoimmune disease, scored higher on HMAD-17, particularly in its sub-scale of anxiety/somatization, cognitive deficit, psychomotor retardation, and sleep disturbance. Compared with BD without PMS or PMDD, BD with PMS or PMDD might be a specific subtype of BD characterized with earlier onset age, heavier genetic load, increased symptom severity, and atypical features.

Prevalence and correlates of premenstrual syndrome and premenstrual dysphoric disorder among women aged 18-25 in Turkey

OBJECTIVE

Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) are experienced in the luteal phase among women of reproductive age and are known to affect quality of life. This study sought to determine the prevalence and correlates of PMS and PMDD in women aged 18-25 in Turkey.

METHOD

A cross-sectional study was conducted between December 2022 and May 2023, which recruited 1125 female college students. A personal information form, the International Physical Activity Questionnaire, and the Premenstrual Syndrome Scale (PMSS) were administered. Participants who met criteria for PMS during three consecutive menstrual cycles based on the ACOG and PMSS scores were diagnosed as having PMS. Participants who met the criteria for PMDD during three consecutive menstrual cycles based on the DSM-V were diagnosed as having PMDD. Logistic regression analysis was used to determine correlates of PMS and PMDD.

FINDINGS

PMS was found in 49.2% and PMDD in 48.0% of the participants. Women having a blood group type B compared to those with blood group type A were more likely to have PMS (OR = 151.8, 95% CI = 54.5-422.6). In addition, women with PMS were less likely to be physically active based on the metabolic equivalent of task score (OR = 0.99, 95% CI= 0.98-0.99). Menstrual cycle duration was also longer among those with PMDD (OR = 1.47, 95% CI= 1.25-1.72), as was daily caffeine intake (OR = 1.01, 95% CI= 1.00-1.01). PMDD score was also found to be associated with major depressive disorder (OR = 1.06,95% = 1.05-1.07).

CONCLUSIONS

PMS and PMDD among young women in Turkey were associated with blood groups, MET scores, and other clinical characteristics that may help clinicians to identify these conditions.

Do contrasting socio-ecological conditions bring difference in premenstrual syndrome and its concomitants? A sedente-migrant comparative study from Eastern India

OBJECTIVES

We asked in our research whether the premenstrual syndrome (PMS) and its concomitants, differ between "sedente" and "migrant" populations hailing from the same ethnic group, owing to their living in contrasting socio-ecological conditions.

METHODS

A total of 501 Oraon adolescents (sedente: 200, migrant: 301) were studied. Data on PMS was reported retrospectively using a list of 29 standard symptoms. Principal component analysis (PCA) was applied on PMS. PCA, which resulted in six principal components (PC1 to PC6) were loaded with "behavioral and cognitive," "negative mood," "pain and fluid retention," "vestibular and breast tenderness," and "fatigue," and/or "gastrointestinal" symptoms. Step-wise hierarchical regression was applied using migration status (step 1), socio-demographic (step 2), menstrual (step 3), and nutritional and lifestyle variables (step 4) as concomitants for each principal component.

RESULTS

Significantly, a greater number of migrants reported PMS but of milder intensity, unlike the sedentes. Significant sedente-migrant differences were found in the concomitants for PMS. Multivariate analyses showed differential socio-demographic (occupational, educational and wealth status, religion), nutritional (dietary carbohydrate protein and fat, tea intake, body mass index, percent body fat, waist hip ratio, fat mass index), menstrual (age at menarche, cycle length, dysmenorrhoea) and anemic status of the sedentes and the migrants were significantly associated with PMS.

CONCLUSIONS

Sedente and migrant participants, despite hailing from the same ethnic group, sharply differed in the prevalence of PMS and its concomitants owing to their living in contrasting socio-ecological conditions.

Investigating influencing factors on premenstrual syndrome (PMS) among female college students

BACKGROUND

Premenstrual syndrome (PMS) affects women's physical and mental health. Depression, stress, sleep disturbance, and eating attitude problems have been known to influence PMS. Furthermore, restrictions of daily life due to the COVID-19 pandemic have led to changes in sleep patterns and eating attitudes. Thus, it is necessary to closely examine how these factors affect PMS. This study aimed to examine the levels of PMS, stress, depression, sleep disturbance, and eating attitude problems among female college students who experience dysmenorrhea and determine the factors associated with PMS.

METHODS

A cross-sectional online survey design was conducted using a convenience sample of 143 female college students in C City, South Korea. Data were collected from September 1 to 19, 2021 in South Korea using an online self-administered survey. Differences in participants' level of PMS according to physical health variables (e.g., smoking, water intake, menstrual pain intensity) and psychological issues (i.e., stress, depression, sleep disturbances, and eating attitude problems) were assessed with independent sample t-tests and one-way ANOVAs. Correlational analyses between these variables were also conducted. Additionally, multiple regression was performed to identify the factors influencing PMS.

RESULTS

PMS severity was between normal (27.3%) and premenstrual dysphoric disorder (PMDD) (72.7%). PMS was associated positively with depression (r = .284, p = 001), stress (r = .274, p = .001), sleep disturbance (r = .440, p < .001), and eating attitude problems (r = .266, p = .001). Additionally, menstrual pain intensity (β = 0.204), sleep disturbances (β = 0.375), and eating attitude problems (β = 0.202) were found to influence PMS. The regression model was significant (F = 16.553, p < .001) with an explanatory power of 24.7%.

CONCLUSIONS

Considering the influencing factors of PMS identified in this study, interventions for participants experiencing PMS should be made. We propose that further study should be conducted to examine whether the severity of PMS changes according to menstrual pain, the pattern and degree of its change, and the paths through which sleep quality and eating attitude problems affect PMS.

The Association between the Severity of Dysmenorrhea and Psychological Distress of Women Working in Central Tokyo-A Preliminary Study

This study aims to clarify the association between the severity of dysmenorrhea and psychological distress among working women in central Tokyo and examine the effect modification of job stressors. The participants in this cross-sectional study were 312 women who had undergone health check-ups in the "Marunouchi Hokenshitsu" project. The severity of dysmenorrhea was defined as the degree of daily life disturbance with menstrual pain, and the outcome variable was the K6 scores. To assess the association of psychological distress with the severity of dysmenorrhea, multiple regression analyses were performed. The results revealed that 18.3% of the 289 working women were in the moderate/severe group of dysmenorrhea. In multiple regression analysis, moderate/severe dysmenorrhea was significantly associated with higher levels of psychological distress, but the significance disappeared after adjusting for gynecology such as premenstrual syndrome (PMS) and workplace-related factors. The degree of job control was significantly associated with lower levels of psychological distress and may modify psychological distress caused by dysmenorrhea. Moderate/severe dysmenorrhea may be associated with higher levels of psychological distress in working women, and psychological symptoms of PMS) and the degree of job control were possible effect factors, and there may be effect modification by the degree of job control.

Gender Differences in Premenstrual Syndrome and Premenstrual Dysphoric Disorder Diagnosis and Treatment among Japanese Obstetricians and Gynecologists: A Cross-Sectional Study

Premenstrual symptoms are characterized by unpleasant psychophysical symptoms that appear during the luteal phase before menstruation and interfere with a woman's quality of life. Premenstrual syndrome (PMS) is a pathological condition with premenstrual symptoms, of which premenstrual dysphoric disorder (PMDD) is a particularly severe psychological symptom. This study aimed to examine the gender differences in the diagnosis and treatment of PMS and PMDD among obstetricians and gynecologists (OB/GYNs) in Japan. Data were obtained from the survey conducted by the Japanese Society of Obstetrics and Gynecology. We used data from 1,257 of the 1,265 OB/GYNs who are engaged in PMS/PMDD practice and reported their gender. Multivariate regression analysis adjusted for propensity scores was performed. Female OB/GYNs were more frequently engaged in treating patients with PMS/PMDD than males [odds ratio (OR) 1.74; 95% confidence interval (CI) 1.36-2.21]. With regard to the diagnostic methods, more female OB/GYNs selected the two-cycle symptom diary than males (OR 2.88; 95% CI 1.80-4.60). Regarding treatment, fewer female OB/GYNs selected selective serotonin reuptake inhibitors as their first-line drug (OR 0.39; 95% CI 0.17-0.89). Gender differences were found in the selection of PMS/PMDD diagnosis and treatment methods among Japanese OB/GYNs.

Development and validation of risk prediction model for premenstrual syndrome in nurses: results from the nurses-based the TARGET cohort study

Objective

Premenstrual syndrome (PMS) stands as a significant concern within the realm gynecological disorders, profoundly impacting women of childbearing age in China. However, the elusive nature of its risk factors necessitates investigation. This study, therefore, is dedicated to unraveling the intricacies of PMS by focusing on nurses, a cohort with unique occupational stressors, to develop and validate a predictive model for assessing the risk of PMS.

Methods

This investigation employed a multi-center cross-sectional analysis drawing upon data from the TARGET Nurses' health cohort. Utilizing online survey versions of the Premenstrual Syndrome Scale (PMSS), a comprehensive dataset encompassing physiological, social, psychological, occupational, and behavioral variables was collected from 18,645 participants. A stepwise multivariate logistic regression analysis was conducted to identify independent risk factors for PMS. Furthermore, a refined variable selection process was executed, combining the Least Absolute Shrinkage and Selection Operator (LASSO) method with 10-fold cross-validation. The visualization of the risk prediction model was achieved through a nomogram, and its performance was evaluated using the C index, receiver operating characteristic (ROC) curves, and the calibration curves.

Results

Among the diverse variables explored, this study identified several noteworthy predictors of PMS in nurses, including tea or coffee consumption, sleep quality, menstrual cycle regularity, intermenstrual bleeding episodes, dysmenorrhea severity, experiences of workplace bullying, trait coping style, anxiety, depression and perceived stress levels. The prediction model exhibited robust discriminatory power, with an area under the curve of 0.765 for the training set and 0.769 for the test set. Furthermore, the calibration curve underscored the model's high degree of alignment with observed outcomes.

Conclusion

The developed model showcases exceptional accuracy in identifying nurses at risk of PMS. This early alert system holds potential to significantly enhance nurses' well-being and underscore the importance of professional support.

The Prevalence of Menstrual Cycle Disorders and Menstrual Cycle-Related Symptoms in Female Athletes: A Systematic Literature Review

BACKGROUND

Menstrual cycle (MC) disorders and MC-related symptoms can have debilitating effects on the health and performance of female athletes. As the participation of women in sports continues to increase, understanding the prevalence of a range of MC disorders and MC-related symptoms may guide preventive strategies to protect the health and optimise the performance of female athletes.

OBJECTIVE

To examine the prevalence of MC disorders and MC-related symptoms among female athletes who are not using hormonal contraceptives and evaluate the assessment methods used to identify MC disorders and MC-related symptoms.

METHODS

This systematic review was performed in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Six databases were searched until September 2022 for all original research that reported the prevalence of MC disorders and/or MC-related symptoms in athletes not using hormonal contraceptives, which included the definitions of the MC disorders examined, and the assessment methods used. MC disorders included amenorrhoea, anovulation, dysmenorrhoea, heavy menstrual bleeding (HMB), luteal phase deficiency (LPD), oligomenorrhoea, premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD). MC-related symptoms included any affective and physical symptoms related to the MC that do not cause significant personal, interpersonal or functional impairment. The prevalence data across eligible studies were combined, and all studies were qualitatively synthesised to evaluate the assessment methods and tools used to identify MC disorders and MC-related symptoms. The methodological quality of studies was assessed using a modified Downs and Black checklist.

RESULTS

Sixty studies involving 6380 athletes were included. A wide range of prevalence was observed for all types of MC disorders, with a dearth of data on anovulation and LPD. Based on pooled data, dysmenorrhoea (32.3%; range 7.8-85.6%) was the most prevalent MC disorder. Studies reporting MC-related symptoms mostly examined the premenstrual and menstruation phases, where affective symptoms appeared more prevalent than physical symptoms. A larger proportion of athletes reported symptoms during the initial days of menstruation compared with the premenstrual phase. MC disorders and MC-related symptoms were retrospectively assessed using self-report methods in 90.0% of studies. Most studies (76.7%) in this review were graded as moderate quality.

DISCUSSION

MC disorders and MC-related symptoms are commonplace among female athletes, warranting further research examining their impact on performance and preventive/management strategies to optimise athlete health. To increase the quality of future studies, researchers should adopt standardised definitions of MC disorders and assessment methods such as a combination of calendar counting, urinary ovulation tests and a mid-luteal phase serum progesterone measurement when assessing menstrual function. Similarly, standardised diagnostic criteria should be used when examining MC disorders such as HMB, PMS and PMDD. Practically, implementing prospective cycle monitoring that includes ovulation testing, mid-luteal blood sampling (where feasible) and symptom logging throughout the MC could support athletes and practitioners to promptly identify and manage MC disorders and/or MC-related symptoms.

TRIAL REGISTRATION

This review has been registered in the PROSPERO database (CRD42021268757).

Effects of sleep pattern, duration, and quality on premenstrual syndrome and primary dysmenorrhea in korean high school girls

BACKGROUND

Sleep deprivation is known to be a risk factor for premenstrual syndrome and primary dysmenorrhea in adults. However, it has rarely been investigated in adolescents. The aim of this study was to investigate whether sleep pattern, duration, and quality independently affect premenstrual syndrome and primary dysmenorrhea in adolescent girls. An additional purpose was to investigate the sleep status in Korean adolescent girls during the COVID-19 pandemic.

METHODS

A cross-sectional survey study was conducted in 519 high school girls aged 15 to 18 years in Gyeonggido, South Korea, in 2021 during the COVID-19 lockdown. Menstrual pain intensity and menstrual symptoms were assessed using the visual analogue scale (VAS) and Cox menstrual symptom scale (CMSS), respectively. Premenstrual syndrome was assessed by the premenstrual symptoms screening tool (PSST). Sleep was assessed by the Pittsburgh Sleep Quality Index (PSQI). The known risk factors of dysmenorrhea, including menstrual and lifestyle characteristics and stress, were assessed as covariates.

RESULTS

During the pandemic, approximately 68% of girls slept 7 h or less, while about 60% reported poor sleep quality. Additionally, 64% of participants had a bedtime later after 1AM, and 34% woke up later after 8AM. Late bedtime significantly affected VAS (P = 0.05), CMSS severity and frequency (both P < 0.01), and PSST symptom (P < 0.01). Waking up late affected CMSS severity (P < 0.05), PSST symptom (P = 0.05), and PSST function (P < 0.05). However, the significance of these effects disappeared after controlling for covariates. Sleeping less than 5 h affected CMSS frequency (P < 0.05) and PSST symptoms (P < 0.001). After controlling for covariates, the significance of the effect on PSST symptom remained (P < 0.05). General sleep quality and PSQI components, including subjective sleep quality, sleep latency, sleep disturbance, use of sleeping medication, and daytime dysfunction, significantly affected CMSS frequency and severity and PSST symptom after controlling for covariates (P < 0.05, P < 0.01, or P < 0.001). The multiple regression analysis revealed that among sleep characteristics, sleep quality was the most important risk factor of premenstrual syndrome and dysmenorrhea.

CONCLUSION

Our study result heightens the importance of healthy sleep hygiene, especially sleep quality in the management of premenstrual syndrome and dysmenorrhea in adolescent girls.

Investigation of premenstrual syndrome in connection with physical activity, perceived stress level, and mental status-a cross-sectional study

Introduction

The premenstrual syndrome (PMS) is a critical factor in women's health, which, in addition to physical inactivity, can be influenced by the body mass index (BMI), stress, and mental state, among others. The study aimed to assess the severity of PMS symptoms among young women regarding physical inactivity, BMI, mental state, and perceived stress level.

Methods

A total of 198 female participants between the ages of 18-45 took part in a 6-month cross-sectional online questionnaire study. The average age of the participants was 25.37 ± 4.80 years. To assess physical activity, stress, mental state, and premenstrual symptoms, we employed standard questionnaires, including the International Physical Activity Questionnaire-Short Form (IPAQ-SF), the Perceived Stress Scale (PSS), the General Health Questionnaire-12 (GHQ-12), and the Premenstrual Assessment Form-Short Form (PAF-SF). The collected data were analyzed using IBM SPSS (Statistical Package for Social Sciences) version 28.0 software, with a significance level set at p < 0.05.

Results

During the analysis, we observed a significant relationship (p = 0.020) between regular exercise and the severity of PMS symptoms, as well as between mental state and PMS symptoms (p < 0.001). Furthermore, our findings revealed a significant negative correlation between regular physical activity and perceived stress levels (r = -0.179; p = 0.012), as well as between regular exercise and the participants' mental state (r = -0.157; p = 0.027). Additionally, we identified a significant difference (p < 0.001) among the six subgroups formed based on the PAF-SF and average PSS questionnaire results. Moreover, a significant difference was observed between the PAF-SF case and control groups in terms of BMI averages (p = 0.019).

Discussion

The research findings indicate that the severity of PMS symptoms is influenced by regular physical activity, mental state, and stress.

Factors associated with the severity of premenstrual symptoms in women with central obesity: a cross-sectional study

INTRODUCTION

Premenstrual syndrome (PMS) is a common condition that affects social and psychological well-being of women. The risk of PMS is higher among obese women. The aim of this study was to identify the factors that influence the severity of PMS in women with central obesity.

MATERIALS AND METHODS

This cross-sectional study was performed on 30-50 year-old women with abdominal obesity (waist circumference > 80 cm). The following data were collected: demographic data, anthropometric measurements, premenstrual symptoms screening tools, semi-quantitative food frequency questionnaire, 42-item depression, anxiety, and stress questionnaire (DASS-42), as well as serum vitamin D, and renal function tests.

RESULTS

A total of 139 women (mean age of 41.40 ± 7.39 years old) participated in the study. The prevalence of mild, moderate and severe premenstrual symptoms was 38.7% (55/142), 31.7% (45/142) and 27.5% (39/142), respectively. There was no significant difference between the groups in terms of anthropometric measurements and energy-adjusted nutrient intakes (p > 0.05). There was a significant relationship between moderate PMS and energy-adjusted saturated fatty acid (SFA) (p = .018, OR = .010 and 95% CI for OR: < .001 and .452), and energy-adjusted riboflavin (p = .042, OR = .005, 95% CI for OR: < .001 and .821), and between severe PMS and age (p = .034, OR = .906, 95% CI for OR: .826 and .993), and energy-adjusted monounsaturated fatty acid (MUFA) intake (p = .041, OR = 23.789, 95% CI for OR: 1.138 and 497.294).

CONCLUSION

High intakes of MUFA and younger age were associated with a greater severity of PMS, while riboflavin intake was associated with reduced PMS severity.

Understanding comorbidity between eating disorder and premenstrual symptoms using a network analysis approach

Eating disorder symptoms are associated with ovarian hormones and fluctuate predictably across the menstrual cycle. However, the specific symptoms that underlie these associations remain unclear. The current study aims to examine which specific eating disorder and premenstrual symptoms confer risk and maintain comorbidity using network analysis. Eating disorder and premenstrual symptoms were measured using the Eating Pathology Symptoms Inventory and the Daily Record of Severity of Problems, respectively, in a large sample of young adult females. Network analysis was used to explicate the structure of eating and premenstrual symptom networks separately and together. Eating disorder networks replicated previous literature and identified body dissatisfaction as a core feature, but was unique in identifying monitoring calories as an additional core feature. Central symptoms identified in the premenstrual symptom network were symptoms interference with daily life and activities and negative emotions brought on by hormone changes. Bridge symptoms between networks were identified as relating to eating behaviors, interference with daily activities, joint and muscle pain, and negative emotions brought on by hormone changes. This study suggests that the links between eating disorder and premenstrual symptoms extend past their individual effects on eating behavior and are indicative of a shared underlying mechanism.

Association between Dietary Habits and Severity of Symptoms in Premenstrual Syndrome

BACKGROUND

Premenstrual syndrome (PMS) is a set of physical, psychological, and emotional symptoms that occur during the luteal phase of the menstrual cycle. The etiopathogenesis of this condition is not fully understood, and several studies suggest a possible role of environmental factors, such as diet. The aim of this work was to investigate the relationship between dietary habits and the occurrence and severity of PMS.

METHODS AND RESULTS

Forty-seven women were enrolled in the study. Participants were asked to complete the Daily Record of Severity of Problems (DRSP) to diagnose PMS and to complete a three-day food record during the perimenstrual phase. Thirty women completed the study (16 with PMS and 14 controls). An analysis of the food diaries revealed no differences between the women with PMS and the control subjects in terms of total energy intake (1649 vs. 1570 kcal/day), diet composition, and the consumption of macro- or micronutrients, except for copper, whose consumption was higher in women with PMS than in the control subjects (1.27 ± 0.51 vs. 0.94 ± 0.49 mg/d, p < 0.05).

CONCLUSIONS

The data presented here are very preliminary, and only a significant difference in copper intake was found when comparing women with PMS and controls. Larger studies are needed to better define how diet may contribute to the exacerbation of the psychological and somatic symptoms associated with PMS and whether PMS itself may influence macro- or micronutrient intake by changing dietary habits.

Pre-menstrual Syndrome and Pre-menstrual Dysphoric Disorder in Female Medical Students of Nepal

Background Pre-menstrual Syndrome and Pre-menstrual Dysphoric Disorder can have negative impact on medical students and remains mostly underdiagnosed. Different treatment modalities like medications (doctor-prescribed or self-medicated), and alternative therapies are used by students to cope with pre-menstrual symptoms. Objective To estimate the prevalence and severity of Premenstrual Syndrome and Premenstrual Dysphoric Disorder among medical students in Nepal along with its impact in their quality of life, their health seeking behavior and treatment modalities used to cope with these disorders. Method A cross-sectional study was conducted among female medical students studying MBBS in various medical colleges in Nepal using a self-administered questionnaire from September 2020 to March 2021. Result The prevalence of Premenstrual Syndrome and Premenstrual Dysphoric Disorder among female medical students in Nepal was 64% and 36.3% respectively as per this study. Among the areas impacted by premenstrual symptoms, concentration in class was the most affected (68.1%), followed by distress (64.6%). Only 7.3% of the responding participants sought medical consultation for their symptoms. Among those who suffered from at least one symptom for any length of time, 34.8% of participants reported of using at least one medication (either prescribed or selfmedication). Similarly, alternative remedies were used by 44.4% of the participants. Conclusion Premenstrual syndrome and premenstrual dysphoric disorder were found to be common in female medical students of Nepal. However, very few students sought medical consultation despite a significant impact in their academic and other activities. Self-medication and traditional therapies were common modalities used for treatment of premenstrual symptoms.

Associated factors with Premenstrual syndrome and Premenstrual dysphoric disorder among female medical students: A cross-sectional study

AIM

The study aimed to determine potential risk factors associated with Premenstrual Syndrome and Premenstrual Dysphoric Disorder.

METHODS

Three hundred two female student participants who were 18-45 years old completed a questionnaire including demographic characteristics, lifestyle factors, and a Vietnamese Premenstrual Syndrome Screening Tool. We then followed up participants during at least two menstrual cycles using the Daily Record of Severity of Problems. The Premenstrual Syndrome and Premenstrual Dysphoric Disorder diagnosis was established using The Carolina Premenstrual Assessment Scoring System, based on the American College of Obstetrics and Gynecology and Diagnostic and Statistical Manual of Mental Disorders.

RESULTS

According to the Carolina Premenstrual Assessment Scoring System, 35 out of 302 students (11.6%; 95%CI: 8.2-15.7%) met the diagnosis of PMS (31 students) or PMDD (4 students). We found that age at menarche (PR = 0.77, 95%CI: 0.63-0.96), having negative Rh blood type (PR = 4.43, 95%CI: 1.95 to 10.08), being moderately depressed or higher (PR = 2.81, 95%CI: 1.24 to 6.36), and consuming caffeine more than three times per week were statistically associated with having Premenstrual Syndrome or Premenstrual Dysphoric Disorder after adjusting for other variables.

CONCLUSION

The prominent risk factors for Premenstrual Syndrome and Premenstrual Dysphoric Disorder were negative Rhesus blood type, menarche age, caffeine consumption, and self-reported depression.

Factors Associated with the Prevalence and Severity of Menstrual-Related Symptoms: A Systematic Review and Meta-Analysis

This study aimed to identify factors associated with the prevalence and severity of menstrual-related symptoms. The protocol was registered in PROSPERO (CRD42021208432). We conducted literature searches of PubMed and Ichushi-Web and used the Jonna Briggs Institute critical appraisal checklist to assess the quality. Of the 77 studies included in the meta-analysis, significant odds ratios (ORs) were obtained for eight factors associated with primary dysmenorrhea (PD): age ≥ 20 years (OR: 1.18; 95% confidence interval [CI]: 1.04−1.34), body mass index (BMI) < 18.5 kg/m2 (OR: 1.51; 95% CI: 1.01−2.26), longer menstrual periods (OR: 0.16; 95% CI: 0.04−0.28), irregular menstrual cycle (OR: 1.28; 95% CI: 1.13−1.45), family history of PD (OR: 3.80; 95% CI: 2.18−6.61), stress (OR: 1.88; 95% CI: 1.30−2.72), sleeping hours < 7 h (OR: 1.19; 95% CI: 1.04−1.35), and bedtime after 23:01 (OR: 1.30; 95% CI: 1.16−1.45). Two factors were associated with severity of PD (moderate vs. severe): BMI < 18.5 kg/m2 (OR: 1.89; 95% CI: 1.01−3.54) and smoking (OR: 1.94; 95% CI: 1.08−3.47). PD severity (mild vs. severe) and prevalence of premenstrual syndrome were associated with BMI < 18.5 kg/m2 (OR: 1.91; 95% CI: 1.04−3.50) and smoking (OR: 1.86; 95% CI: 1.31−2.66), respectively. The identified risk factors could be utilized to construct an appropriate strategy to improve menstrual symptoms and support women’s health.

The Impact of Competitive Swimming on Menstrual Cycle Disorders and Subsequent Sports Injuries as Related to the Female Athlete Triad and on Premenstrual Syndrome Symptoms

Background: An athlete's menstrual cycle may be seriously disturbed when she undertakes a physical activity that exceeds the body's adaptive capacity and/or applies dietary restrictions. The main aim of this study was to assess the impact of swimming training undertaken by participants of sport clubs on disorders of the menstrual cycle.

METHODS

The study involved 64 female athletes. The questionnaire utilized in this study was composed by the authors, however some of the questions were based on Low Energy Availability in Females Questionnaire (LEAF-Q).

RESULTS

31.26% of swimmers reported that the menstrual cycle was stopped for more than 3 months, of which 21.88% had a menstrual absence for more than 6 months and 9.38% between 3 months and 6 months. Years of training were a positive predictor of the 'more profuse bleeding'. There was a negative correlation between the disorders of the menstrual cycle, the body weight of the female participants (p < 0.05) and the body mass index (p < 0.01). It was found that with the severity of the degree of disorder in the menstrual cycle, the number of injuries among the surveyed swimmers increased (p < 0.05).

CONCLUSIONS

The correct body weight of the participants was a positive predictor of the absence of the menstrual cycle disorders among the majority of women practicing swimming. Disorders in the menstrual cycle occurring in a certain percentage of the swimmers positively correlated with the number of injuries recorded among these swimmers. Swimming has been shown to alleviate some of the premenstrual symptoms.

Menstrual cycle phase, menopausal transition stage, self-reports of premenstrual syndrome and symptom severity: observations from the Seattle Midlife Women's Health Study

OBJECTIVE

The aim of this study was to determine the effects of menstrual cycle phases (postmenses and premenses), self-report of premenstrual syndrome (PMS), late reproductive stages (LRS1 and LRS2), and early menopausal transition (EMT) stage (Stages of Reproductive Aging Workshop [STRAW]) on severity of five symptom groups.

METHODS

A subset of Seattle Midlife Women's Health Study participants (n = 290) in either LRS1 or LRS2 or EMT (STRAW+10 criteria) provided daily symptom data for at least one full menstrual cycle during the first year of the study and reported current PMS. Symptom severity was rated (1-4, least to most severe) in the daily diary for five symptom groups (dysphoric mood, neuromuscular, somatic, vasomotor, and insomnia) identified earlier with the same sample ( Maturitas 1996;25:1-10). A three-way analysis of variance was used to test for within- and between-participants effects on symptom severity.

RESULTS

Stage had no effect on severity for any of the five symptom groups. Dysphoric mood and neuromuscular and somatic symptom severity (but not vasomotor or insomnia severity) differed significantly across menstrual cycle phases, increasing from postmenses to premenses. Current PMS and premenses cycle phase had significant interactive effects on dysphoric mood and neuromuscular symptoms, but there were no significant interaction effects on somatic, vasomotor, or insomnia symptom severity.

CONCLUSIONS

Dysphoric mood, neuromuscular, and somatic symptoms exhibit cyclicity and are influenced by current PMS. Late reproductive stages and EMT stage do not have significant effects on the five symptom groups. Vasomotor or insomnia symptoms do not exhibit significant cyclicity from postmenses to premenses and are not affected by current PMS. Future studies of symptom cyclicity and reproductive aging including daily symptom data across an entire menstrual cycle in samples including women in late menopausal transition stage are essential to capture the effects of both cyclicity and self-reported PMS to capture symptom severity reports at their peak.

Patterns of premenstrual syndrome in collegiate women: A cross-sectional study

Premenstrual syndrome (PMS) has a wide variety of symptoms. The classification of these symptoms into several patterns is useful for more effective tailor-made treatment. Therefore, our study aimed to examine the patterns of PMS by analyzing multiple factors to identify the characteristics of each pattern. This is a cross-sectional study. A total of 165 women (18.9 ± 1.0 years) were investigated by using of questionnaire about PMS, nutrition, physical activity, and other lifestyle traits. Then, the factor analysis was performed to classify the premenstrual symptoms, that is, the pattern of PMS. Additionally, logistic regression analysis was performed to identify the characteristics of each pattern, adjusted for age, body mass index, sleep duration, and caffeine intake. As the result, PMS was classified into 3 patterns. The type related to psychological symptoms such as depression, physiological symptoms, such as abdominal pain, and intermingled type, were labeled as affected, somatic, and mixed types, respectively. From the result of logistic regression analysis, self-rating depression scale scoring was marginally associated with affective type (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 0.99-1.16), physical activity was significantly associated with the mixed type (OR: 1.13, 95% CI: 1.00-1.28), and physical activity (OR: 1.20, 95% CI: 1.05-1.36) and some nutrients (OR: 0.56-1.00) were significantly associated with the somatic type. Understanding PMS and management of these complicated symptoms has been difficult. From the results of this study, the complicated symptoms were categorized into simpler patterns. Our findings may contribute to the understanding and possible management adjusted for each categorized case of PMS.

Studying the factors associated with Premenstrual syndrome prevention among pre-university students in Tehran

Introduction

Premenstrual syndrome is one of the common menstrual disorders in adolescents. Considering the destructive effects of this syndrome on adolescents' activity and performance and the importance of epidemiological studies in designing preventive interventions.

Aim

This study aimed to determine some of the factors associated with the prevention of premenstrual syndrome among adolescents.

Settings and Design

In a cross-sectional study, 255 female high school students in Tehran were selected using multistage random sampling method.

Methods and Material

The data were collected using a demographic and background questionnaire and a valid and reliable questionnaire to assess preventive behaviors of premenstrual syndrome.

Statistical analysis used

The collected data were analyzed using SPSS software version 16 and descriptive statistics and logistic regression.

Results

The mean (SD) score of adoption of preventive behaviors of premenstrual syndrome was 19.25 (0.63) out of 50, and it was low. Also, weekly physical activity, mother education level, and family income were the factors affecting the adoption of preventive behaviors of premenstrual syndrome (P < 0.05).

Conclusion

Due to the low adoption of preventive behaviors among students with lower income families, students with less physical activity and students with mothers with lower levels of education, it is suggested that more attention be paid to the above students in designing educational programs to promote the prevention of premenstrual syndrome.

Prevalence of lifetime self-injurious thoughts and behaviors in a global sample of 599 patients reporting prospectively confirmed diagnosis with premenstrual dysphoric disorder

BACKGROUND

Suicide is the second leading cause of death among Americans ages 10 to 34, with alarming recent increases in suicide rates among those assigned female at birth. A large body of evidence points to menstrual cycle influences on self-injurious thoughts and behaviors (STBs), suggesting that neurobiological hormone sensitivities, such as in premenstrual dysphoric disorder (PMDD), may drive suicide risk in females. However, existing studies of STBs in PMDD use cross-sectional self-report measures of PMDD with poor validity. As a first step to establish accurate prevalence rates of STBs in PMDD, we examined the lifetime prevalence of STBs in a large global survey of patients reporting a diagnosis of PMDD based on daily ratings.

METHOD

Individuals with self-reported PMDD symptoms were invited to an online survey through online support groups for PMDD and social media posts from PMDD awareness accounts. Participants reported demographics, whether they had been diagnosed with PMDD by a healthcare provider using daily ratings, STBs using the Columbia Suicide Severity Rating Scale, and history of lifetime comorbid psychiatric diagnoses.

RESULTS

Of 2,689 survey completers, 599 (23%) reported a diagnosis with PMDD based on two months of daily ratings and were included in analyses. We observed high rates of lifetime active suicidal ideation (72%), planning (49%), intent (42%), preparing for an attempt (40%), and attempt (34%), as well as non-suicidal self-injury (51%). The majority (70%) of the sample reported at least one lifetime comorbid psychiatric diagnosis. Predictors of lifetime active suicidal ideation included nulliparity, low-to-moderate (vs. high) income, and history of diagnosis with major depression or post-traumatic stress disorder. Predictors of lifetime attempts among those reporting lifetime active ideation included older age, nulliparity, lower income, and history of diagnosis with post-traumatic stress disorder or borderline personality disorder.

CONCLUSIONS

These data indicate high rates of STBs among those reporting prospective diagnosis of PMDD and highlight the need for prospective research on mechanisms and prevention of STBs in PMDD. Clinical practice guidelines for PMDD should accommodate comorbidities and recommend frequent screenings for STB risk. STBs should be considered for inclusion in future iterations of the DSM PMDD diagnostic criteria.

The prevalence of early life trauma in premenstrual dysphoric disorder (PMDD)

Early life trauma is a risk factor for many mental disorders; however, there is a lack of research exploring early life trauma in Premenstrual Dysphoric Disorder (PMDD), a debilitating form of Premenstrual Syndrome (PMS). This descriptive study aimed to determine the prevalence of early life trauma in women with PMDD and characterise type and age of trauma experience. Data for 100 women diagnosed with PMDD was extracted from the Monash Alfred Women's Mental Health Clinic Database. Experience of early life trauma was subclassified into four types (Physical abuse, sexual abuse, emotional abuse and/or neglect) and four age groups (0-5, 6-10, 11-14 and/or 15-18 years old). Prevalence of early life trauma was calculated and compared with Australian population estimates. Eighty-three percent of women with PMDD had experienced early life trauma, with emotional abuse being the most common (71%). All types of trauma were more common amongst PMDD women than the general Australian population. Trauma prevalence was similar across the four age groups, ranging from 59 to 66%. Of note, 51.8% women experienced trauma across all age groups. Our results suggest a strong association between early life trauma and PMDD. Emotional abuse and/or chronic trauma across childhood may be most strongly associated with PMDD.

COVID-19-Associated Mental Health Impact on Menstrual Function Aspects: Dysmenorrhea and Premenstrual Syndrome, and Genitourinary Tract Health: A Cross Sectional Study among Jordanian Medical Students

The physiology of reproduction is affected by psychological distress through neuroendocrine pathways. Historically, COVID-19 is one of the most stressful events with devastating consequences. This research aims to investigate the relationship between dysmenorrhea, PMS, and reproductive tract health on one hand, and COVID-19-related anxiety, depression, and stress on the other among medical students in Jordan. Medical students were invited through teaching platforms and social media to complete an online survey. SPSS software was used to analyze data. A total of 385 medical students participated in this research. Hence, 49.9% of the study population reported severe dysmenorrhea during COVID-19 compared to 36.9% before COVID-19 (p = 0.000). Dysmenorrhea was significantly associated with disruptions of sport and daily activities during COVID-19 (p = 0.015 and p = 0.002, respectively). The prevalence of PMS components, e.g., mastalgia, fatigue, headache, palpitation, and emotional and sleep disturbances, was raised during COVID-19 compared with before (p < 0.05). Symptoms of genitourinary tract infections, such as lower abdominal pain, vaginal discharge, genitalia rash/ulcers and itching, and urgency, were significantly increased after COVID-19 (p < 0.05). Positive Pearson correlations between COVID-19-associated mental health disorders and dysmenorrhea severity, PMS, and genital tract health abnormalities were observed (p < 0.05). The multiple linear regression model revealed that dysmenorrhea severity, PMS symptoms like palpitation, and genitourinary symptoms like lower abdominal pain and urgency were associated with worsening of depression, while dysuria was associated with a protective effect against depression. Moreover, it was observed that dysmenorrhea severity, PMS symptoms, such as headache and palpitation, and urinary urgency were associated with aggravation of anxiety. However, food craving and dysuria were protective against anxiety. Finally, dysmenorrhea severity, PMS symptoms of headache and palpitation, lower abdominal pain, and urgency were related to worsening of stress, whereas the premenstrual symptom of breast pain was a protective factor against stress. This work showed that COVID-19 pandemic-related psychological distress and menstrual, premenstrual, and genitourinary symptoms are closely related. Further future work is required to evaluate the long lasting-effects of the pandemic on mental health and the physiology of reproduction.

Global and regional prevalence and burden for premenstrual syndrome and premenstrual dysphoric disorder: A study protocol for systematic review and meta-analysis

INTRODUCTION

Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) are becoming common mental diseases in women impairing daily functioning. Estimation of the epidemiological burden of PMS/PMDD can serve as scientific basis for prevention and management of premenstrual disorders. Herein, we firstly provide a protocol to perform estimation on the prevalence and risk factors for PMS/PMDD in the general population globally and regionally.

METHODS/DESIGN

The PubMed, Web of Science, Chinese National Knowledge Infrastructure, the Cochrane Central Register of Controlled Trials (Cochrane Library), Chinese VIP Information, EMBASE, Wanfang Database, as well as the Chinese Biomedical Literature Database will be queried to find related studies containing information on the prevalence of PMDD (2011-2021). Two independent reviewers will comb the literature and abstract the data characteristics. Disparities will be reconciled via consents. The primary outcome will be the global prevalence. The random-effect model will be employed to pool the assessments. The standard χ2 tests, as well as the I2 statistic will be used to determine heterogeneity. Furthermore, the meta-regression analysis will be employed to estimate the differences in study-level characteristics. All the statistical analyses will be carried out in the software Stata v 15.0 (Stata Corporation, College Station, TX), as well as the R (v R 3.5.1, R Foundation for Statistical Computing, Vienna, Austria) software.

DISCUSSION

Based on existing evidence, our study will offer a high-quality synthesis for global and regional prevalence, burden, and risk factors of PMS/PMDD. Effective strategies will be made for prevention and management of epidemiological burden on the PMS/PMDD, even premenstrual disorders.

ETHICS AND DISSEMINATION

This study does not involve the specific patients, and all research data comes from publicly available professional literature, so an ethics committee is not required to conduct an ethical review and approval of the study.

INPLASY REGISTRATION NUMBER

INPLASY2021120065.

Lifelong exposure to residential greenspace and the premenstrual syndrome: A population-based study of Northern European women

BACKGROUND

The premenstrual syndrome (PMS) causes clinically relevant psychological and physical symptoms in up to 20% of women of reproductive age. To date, no studies have investigated the relationship between PMS and residential surrounding greenspace, although a green living environment has been reported to have beneficial associations with overall and reproductive health.

OBJECTIVE

To investigate whether lifelong exposure to residential surrounding greenspace is associated with PMS and whether such an association is mediated by BMI, air pollution or physical activity.

METHODS

This study used data collected in 2013-2015 from 1069 Scandinavian women aged 18-49 years, participating in RHINESSA, a European multi-centre and population-based cohort. Satellite-derived Normalised Difference Vegetation Index was used as a proxy of greenspace. Presence of eight common PMS symptoms and their sum (PMS symptom count) were used as outcomes. The associations were assessed by adjusted multilevel logistic and negative binomial regressions. Subsequently we carried out mediation analyses for physical activity, BMI and air pollution exposure.

RESULTS

Higher exposure to residential surrounding greenspace was associated with "Anxiety or tension" (Odds Ratio 0.82, 95% Confidence Interval (CI): 0.70 - 0.95), "Depression or hopelessness" (0.84, 0.73 - 0.98), "Difficulty with sleeping" (0.82, 0.68 - 1.00) and "Breast tenderness and abdominal bloating" (0.84, 0.71 - 0.99) before or around the start of the menstrual period. There was also an association with a lower PMS symptom count (Risk Ratio: 0.94, 95% CI: 0.91 - 0.99). These associations were robust to sensitivity analyses and were not mediated by BMI, physical activity or air pollution.

CONCLUSIONS

Living in greener areas may be beneficial against PMS symptoms. Further studies are needed to confirm these novel findings and to explore the underlying biological mechanisms.

Sleep quality and excessive daytime sleepiness in women with Premenstrual Syndrome

OBJECTIVE

Examine the relationship between Premenstrual Syndrome (PMS) and sleep in different menstrual cycle phases.

METHODS

Case-control survey conducted at the Primary Care Service and Clinical Research Center at Hospital de Clínicas de Porto Alegre with women aged between 18 and 45 years old. Women filled the Brazilian version of the Premenstrual Symptoms Screen Tool (PSST) for the screening of PMS; participants with positive screening completed the Daily Record of Severity of Problems (DRSP) to confirm PMS diagnosis. We applied the Pittsburg Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) Brazilian versions in the luteal phase (LP) and follicular phase (FP).

RESULTS AND CONCLUSION

69 women were characterized with PMS and 52 without PMS. The risk of poor sleep quality (SQ) was two times higher in women with PMS (p = .006; OR = 3.057; IC95% 1.44-6.45). An interaction between no PMS and LP was found in ESS (p = .014; generalized estimating equation - GEE - adjusted for multiple comparisons by the Bonferroni test and adjusted by age); besides that, women with PMS had greater scores in ESS (p = .022; GEE adjusted by age).

The Influence of Running and Dancing on the Occurrence and Progression of Premenstrual Disorders

Background: The aim of the study was to assess the influence of both physical activity, such as running and dancing, and the personal characteristics of the studied women on the occurrence and progression of premenstrual disorder (PMD). Methods: We surveyed 414 women aged 22-48 who were experiencing the menstrual cycle but not using hormonal contraception. There were two physically active groups, runners (N = 215) and Argentine tango dancers (N = 94), and there was one group not undertaking any physical activity-the control group (N = 104). The research was conducted using the researchers' own questionnaire. Results: The number of days of PMD symptoms in the tango vs. runner vs. control groups are as follows: pre-bleeding (mean: 4.14 vs. 4.86 vs. 4.85; p = 0.024), after the onset of bleeding (mean: 1.76 vs. 2.39 vs. 2.16; p = 0.001), and in total (mean: 5.94 vs. 7.25 vs. 7.01; p < 0.001). The regression analysis results without grouping results are as follows: the number of days of symptoms before bleeding and menarche (B: -0.16; 95% CIs: from -0.29 to -0.04; p = 0.011), the total duration of symptoms and menarche (B: -0.17; 95% CIs: from -0.32 to -0.01; p = 0.036), lower abdominal pain and age (B: -0.05; 95% CIs: 0.92-0.98; p = 0.002), diarrhoea (B: -0.08; 95% CIs: 0.88-0.97; p < 0.001), tearfulness, depressive states and age (B: -0.06; 95% CIs: 0.91-0.97; p < 0.001), skin problems and age (B: -0.05; 95% CIs: 0.92-0.98; p = 0.004), joint pain and age (B: -0.09; 95% CIs: 0.86-0.96; p = 0.001), pain in the lumbar spine (B: -0.06, 95% CIs: 0.91-0.98; p = 0.001), water retention and BMI (B: 0.09; 95% CIs: 0.92-0.98; p = 0.007), and water retention and menarche (B: -0.19; 95% CIs: 0.73-0.94; p = 0.003). Information: generally there is one regression model, we have several here, we have a bit the description. Conclusions: Physical activity such as dancing (tango) shortens the duration of PMD symptoms but does not completely eliminate them. Running does not have as beneficial an effect on symptom relief as dancing. Current age, age when menstruation began (menarche), and BMI were revealed to be important factors influencing the symptoms of premenstrual disorders.

Suicidality in women with Premenstrual Dysphoric Disorder: a systematic literature review

Previous research has identified how menstruation is an important factor in both attempted and completed suicides for women. The purpose of this review was to outline (a) the risk profile for suicidality in women who were identified to experience Premenstrual Dysphoric Disorder (PMDD), a condition characterized by severe physical and psychological changes that occur during the luteal menstrual phase, and (b) the implications of these findings for clinical practice. A systematic literature review was conducted using five databases to identify any peer-reviewed articles published between 1989 and 2019. Ten papers eligible for inclusion were identified: three pertaining to suicide cognitions, five to suicide attempts and two to both cognitions and attempts. Findings showed that suicidal thoughts, ideation, plans and attempts were strongly associated with experiences of PMDD and that these findings were independent of psychiatric co-morbidities. However, women with PMDD did not present with more severe risk profiles for suicide attempts (in terms of frequency, impulsivity and lethality) or make more frequent attempts during the luteal menstrual phase compared with suicide attempters without PMDD. Women with PMDD should be considered a high risk group for suicidality; thus, identifying and treating symptoms are vital in reducing suicide attempts. Implications for clinical practice are outlined in the discussion.

Association between Childhood Maltreatment History and Premenstrual Syndrome

Childhood maltreatment history has known relationships with various mental and physical diseases; however, little is known about its association with premenstrual syndrome (PMS). In this study, we investigated the association between childhood maltreatment history and PMS among young women in Japan. In a Japanese city, we approached 3815 women aged 10–60 years who visited a gynecology clinic and one general practice clinic. A questionnaire on childhood maltreatment history and PMS was administered to them. We observed that women with histories of childhood maltreatment demonstrated a significantly increased risk of PMS compared with those without such histories (odds ratio: 1.47, 95% confidence interval: 1.20–1.81). Particularly, women with childhood physical or emotional abuse demonstrated a stronger association with PMS, whereas other forms of childhood maltreatment (emotional neglect, witnessing of intimate-partner violence, or sexual abuse) were not associated with PMS. Our results illustrate that childhood maltreatment may be a risk factor for PMS.

Prevalence and associated factors of premenstrual syndrome among women of the reproductive age group in Ethiopia: Systematic review and meta-analysis

INTRODUCTION

Premenstrual syndrome is a clinical condition characterised by the cyclic occurrence of physical and emotional symptoms, which can interfere with normal activity. It significantly affects the health-related quality of life and can result in decreased work productivity. The prevalence of premenstrual syndrome varies widely in different countries and different regions of the same country. Thus, this study was aimed to estimate the pooled prevalence of premenstrual syndrome and its associated factors among women in Ethiopia.

MATERIALS AND METHODS

Published studies searched from electronic databases such as PubMed/Medline, google scholars, HINARI, Science Direct, Cochrane Library, and EMBASE were used. All studies done among women of the reproductive age group in Ethiopia and reported in the English language were included. The current study was reported using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two authors extracted the data independently by using Microsoft excel extraction format and transported to STATA 14 software for analysis. I2 test was used to assess heterogeneity between the studies. A random-effect model was computed to estimate the pooled prevalence and associated factors of premenstrual syndrome. The prevalence and odds ratio with 95% confidence interval (CI) were presented using a forest plot.

RESULTS

After careful screening of 33 studies, nine studies were included in our systematic review and meta-analysis. The pooled prevalence of premenstrual syndrome in Ethiopia was found to be 53% (95% CI: 40.64, 65.36). Subgroup analysis by university versus high school showed a pooled prevalence of 53.87% (95% CI: 40.97, 67.60) and 56.19% (95% CI: 6.80, 105.58), respectively. The pooled odds ratio shows that age at menarche, menstrual pattern and hormonal contraceptive use had no statistically significant association with premenstrual syndrome.

CONCLUSION

More than half of the women under reproductive age group were experiencing premenstrual syndrome in Ethiopia.

Childhood Trauma and Premenstrual Symptoms: The Role of Emotion Regulation

BACKGROUND

Women with Premenstrual Dysphoric Disorder (PMDD) are more likely to have a history of childhood trauma, and may experience more severe premenstrual symptomatology. However, the pathway in which childhood trauma affects the prevalence and severity of premenstrual symptoms remains largely unclear.

OBJECTIVE

To determine whether childhood trauma is associated with increased premenstrual symptoms, and if so, whether emotional dysregulation mediates or moderates this relationship.

PARTICIPANTS AND SETTINGS

A total of 112 women were recruited for the study among students at the Hebrew University of Jerusalem.

METHODS

Participants completed the Premenstrual Symptoms Screening Tool (PSST), the Childhood Trauma Questionnaire (CTQ) and the Difficulties in Emotion Regulation Scale (DERS). To test the mediation hypothesis, direct and indirect effects of childhood trauma on premenstrual symptoms were calculated. To test moderation, we performed multiple regression, including the interaction term between childhood trauma and emotion dysregulation RESULTS: Twenty-two women (18.6%) met criteria for premenstrual syndrome (PMS) and sixteen (13.6 %) for PMDD. The number and severity of premenstrual symptoms increased with more childhood trauma (r = .282), and this relationship was completely mediated by emotion regulation difficulties. Specifically, exposure to Sexual abuse (r = .243) and Emotional neglect (r = .198) were significantly associated with premenstrual symptoms. Abuse predicted greater emotion dysregulation (r = .33), whereas, neglect did not.

CONCLUSIONS

This study contributes to the current knowledge on the long-term effects of childhood trauma. Promoting use of adaptive emotion regulation strategies for women with a history of childhood trauma, could improve their capability to confront and adapt to premenstrual changes.

Association of fine-particulate and acidic-gas air pollution with premenstrual syndrome risk

OBJECTIVE

Air pollution had been reported to be associated with the reproductive health of women. However, the association of particulate matter (PM) and acid gases air pollution with premenstrual syndrome (PMS) warrants investigation. This study investigated the effects of air pollution on PMS risk.

POPULATION

We combined data from the Taiwan Air Quality-Monitoring Database and the Longitudinal Health Insurance Database. In total, an observational cohort of 85 078 Taiwanese women not diagnosed as having PMS.

METHODS

Air pollutant concentrations were grouped into four levels based on the concentration quartiles of several types of air pollutants.

MAIN OUTCOME MEASURES

We then applied univariable and multivariable Cox proportional hazard regression models to assess PMS risk in association with each pollutant type.

RESULTS

Women exposed to Q4-level SO2 exhibited a 7.77 times higher PMS risk compared with those to Q1-level SO2 (95% confidence interval [CI] = 6.22-9.71). Women exposed to Q4-level NOx exhibited a 2.86 times higher PMS risk compared with those exposed to Q1-level NOx (95% CI = 2.39-3.43). Women exposed to Q4-level NO exhibited a 3.17 times higher PMS risk compared with women exposed to Q1-level NO (95% CI = 2.68-3.75). Finally, women exposed to Q4-level PM with a ≤2.5-µm diameter (PM2.5) exhibited a 3.41 times higher PMS risk compared with those exposed to Q1-level PM2.5 (95% CI = 2.88-4.04).

CONCLUSIONS

High incidences of PMS were noted in women who lived in areas with higher concentrations of SO2, NOx, NO, NO2 and PM2.5.

Mood variations and personality traits in patients with epilepsy over the course of their menstrual cycle

INTRODUCTION

The incidence of mood disorders and psychopathology is more frequent in patients with epilepsy (PWE) than in the general population. Also, it has been reported that PWE suffer more seizures during certain phases of their menstrual cycle (MC). Still, limited information exists regarding the relationship between the physical and emotional changes during the MC in PWE. Therefore, in this study, we aimed to evaluate the mood and personality traits of PWE during their MC and to compare them with controls.

METHODS

A cohort of 22 PWE and nine controls was gathered. All the participants underwent psychiatric, electroencephalographic, and gynecological evaluations.

RESULTS

Overall, PWE scored higher in depression compared with controls (p < 0.05), PWE also obtained higher scores for the personality traits of neuroticism and self-isolation (p < 0.05). During the evaluation of the symptoms of premenstrual syndrome (PMS), PWE were more symptomatic during the early follicular (EF) phase in comparison with the rest of the phases of their MC, whereas the control group showed the known premenstrual pattern of symptoms during the late luteal (LL) phase. The frequency of seizures (40.6%) and electroencephalographic abnormalities (34.8%) was also higher during the EF phase of the MC when compared with the other phases of the MC (p < 0.05).

CONCLUSIONS

The results of this study suggest that unlike the PMS present in women without epilepsy, PWE appear to show a "menstrual syndrome" that consists of similar mood changes and physical symptoms. This arrangement of symptoms seems to have an impact on the increase in seizure activity.

Prevalence and risk factors of sexual dysfunction in healthy women in Turkey

OBJECTIVES

This is a cross sectional study conducted in order to determine sexual dysfunction in healthy women and risk factors.

PATIENTS AND METHODS

The population of the study consisted of 282 women. The whole of the population, without sample selection, was included in the study. For data, questionnaire and Female Sexual Function Index-FSFI, whose Turkish validity and reliability study was conducted, were used. Student t and chi-square significant tests and logistic regression analysis were used to carry out statistical analysis.

RESULTS

It was found that 35.8% of 282 women who participated in the study were in the age range of 30-39 years, 54.6% had high school educational level or above, and 59.6% worked. Prevalence was determined as 53.2% FSFI score < 26 according to Female Sexual Function Index FSFI; 23% of the women had complaints about urinary incontinence UI. According to logistic regression results, it is determined that CFB risk is increased in patients with age and urination problem. It was determined that there was no significant correlation between income, number of children, prceived economic status, dyspareunia, having problem with the partner, experiencing premenstrual syndrome, and SD.

CONCLUSION

In this study, approximately half of healthy women had SD and development of SD was affected based on some descriptive characteristics. As sexual life was considered as a factor increasing life quality, it was thought that it is fairly important to discuss the questioning of problems related to sexual life for systematic evaluation of patients, as well.

Premenstrual Syndrome in Students of a Teaching Hospital

BACKGROUND

Premenstrual syndrome is group of psychosomatic symptoms which occurs during second half of menstrual cycle. Significant number of reproductive aged females suffer from it with its impact on their daily activities. This study was conducted to assess the prevalence, severity and impacts of Premenstrual syndrome on female students of a teaching hospital of Kathmandu, Nepal.

METHODS

This cross-sectional study was conducted among female students of a teaching hospital from Kathmandu over a period of three months. Premenstrual Symptom Screening Tool was used to quantify the symptoms severity and their effect in activities. In addition; patient profile, socioeconomic status were recorded. The obtained information was entered in Statistical Package for Social Sciences and analyzed. Findings were then interpreted using chi-square test.

RESULTS

Out of the 285 respondents, 206 (72.3%) reported at least one premenstrual syndrome symptom of moderate to severe intensity among which 74 (25.9%) had at least one severe symptom. Six individuals (2.1%) fulfilled all criteria for Pre-Menstrual Dysphoric Disorder and 49 (17.2%) fulfilled the criteria for moderate to severe premenstrual syndrome and rest (80.7%) were having no or mild premenstrual syndrome with isolated symptoms. PMS was found to have significant association to menstrual bleeding (p?0.001) and severity of dysmenorrhea (p?0.001), family history of premenstrual syndrome (p=0.019) and physical activity (p=0.021).

CONCLUSIONS

Premenstrual syndrome is common in female and has a considerable impact on day to day activities activities although its severe form Pre-Menstrual Dysphoric Disorder is less common.

Diet quality in adolescents with premenstrual syndrome: A cross-sectional study

AIM

Premenstrual syndrome (PMS) is a complex of symptoms that can seriously affect the quality of life in women. It has been suggested that the nutritional status of adult women may influence the presence and/or severity of PMS symptoms. However, little is known about this association in adolescents. The present study aimed to examine the relationship between diet quality and the presence/severity of PMS symptoms in adolescents.

METHODS

A case-control study of 272 female students, aged 13-18 years, was conducted in a high school. PMS was diagnosed and the symptoms were recorded using Premenstrual Syndrome Scale (PMSS)-2006 in 2 consecutive months. Dietary intake was assessed with 24-hour-dietary intake recall method and Healthy Eating Index-2010 (HEI-2010) score was calculated as an indicator of diet quality. Anthropometric measurements, including body weight, height, waist circumference and hip circumference were taken.

RESULTS

PMS was diagnosed in 56.9% of the study sample. The mean HEI-2010 score was significantly lower in the PMS group (47.5 ± 23.95) when compared to the control group (53.5 ± 20.98), P = 0.034. The PMS symptoms, anxiety (P = 0.009), depressive feelings (P = 0.016) and changes in sleeping pattern (P = 0.000) were associated with lower diet quality scores in the PMS group. No significant difference in anthropometric measurements was observed between the groups.

CONCLUSIONS

The present study suggested that adolescents with a high-quality diet might experience depressive feelings, anxiety or changes in sleeping less when compared to those with a low quality diet. Therefore, the causal relationship between diet quality and presence/severity of PMS should be investigated in further studies.

Prevalence of Premenstrual Syndrome and Changes in Blood Pressure with Menstrual Cycle Among University Students

We aimed to investigate prospectively the prevalence of premenstrual symptoms (PSM), changes in bloodpressure with menstrual cycles and to investigate the relative severity of each symptoms and to cluster these symptoms intofactors, and the relative contributions of each factor in a sample of undergraduate students of Ahmadu Bello University,Zaria and Bingham University, Karu. A total of 370 female undergraduate students reported on the severity of 23 PMS in afull cycle. Their blood pressures (BP) were measured during follicular and luteal phases. Paired sample student t-test wasused to investigate difference in mean of blood pressures based on menstrual phases. We fitted PCA to cluster the symptoms.Backache, wish to be alone, joint or muscle pain, fatigue, and pain in the thigh were the five most frequently reportedsymptoms. About 89% of the participants reported experiencing at least one symptom during each cycle. Mean arterial bloodpressure, systolic, and diastolic blood pressures were significantly (P <0.001) higher at the luteal phase than at the follicularphase while, pulse rate was significantly higher (P <0.001) at the follicular phase than the luteal phase. The 23 symptomswere reduced into four clusters; affective, physical, somatic, and GIT/physical symptoms. In conclusion, our findings indicatea high prevalence of PMS with majority indicating that the symptoms as mild to severe. Blood pressure significantlyincreased at luteal phase than follicular phase. The 23 symptoms were reduced into four clusters.

Prevalence of premenstrual syndrome and its relationship to depressive symptoms in first-year university students

OBJECTIVES

To determine the prevalence of and factors influencing premenstrual syndrome (PMS) in first-year students at a university health campus and to evaluate the relationship between depression and PMS. Methods: This cross-sectional study was conducted on a population of 618 university students from March to June 2016 at Dokuz Eylül University, Izmir, Turkey. Data were collected using the Premenstrual Syndrome Scale (PMSS), Beck Depression Inventory and Student Identification Form. The data were analyzed with Version 20.0 of the Statistical Package for the Social Science. Descriptive statistics, Pearson's chi-square test, and Chi-square test for trend, and independent samples t test and logistic regression analysis were used. Results: The prevalence of PMS in the university students was 58.1%. Premenstrual syndrome was significantly higher in students who smoked, drink alcohol, and consumed a large amount of fatty and high-calorie foods, in students who had a bad to very bad perception of their economic situation, and those who had any chronic disease or anemia (p less than 0.05). Premenstrual syndrome was significantly higher in students who had a risk of depression (p less than 0.01). A statistically significant relationship was determined between the risk of depression and PMSS total score and all PMSS subscale scores except for appetite changes (p less than 0.01). Conclusion: Premenstrual syndrome was found in more than half of the students who participated in the study. Premenstrual syndrome was higher in students who had a chronic disease and/or an unhealthy lifestyle. There was a statistically significant relationship between PMS and risk of depression. Students who have PMS symptoms should be evaluated for the risk of depression.

Relationship between premenstrual syndrome and basic personality traits: a cross-sectional study

BACKGROUND

Although many studies have investigated premenstrual syndrome and related factors, there is still only a limited number of studies investigating the relationship between premenstrual syndrome and basic personality traits. This study was conducted to investigate the association between premenstrual syndrome and basic personality traits among university students.

DESIGN AND SETTING

Cross-sectional analytical study conducted in a city in western Turkey.

METHODS

The Premenstrual Syndrome Scale, the Basic Personality Traits Scale and a questionnaire on sociodemographic characteristics developed by the present researchers were applied to 490 female students at the College of Health Sciences of a state university.

RESULTS

Premenstrual syndrome was more common among students living in rural areas (65.1%), students with chronic diseases (74.1%), students who suffered from menstrual cramps (61.1%), students who used cigarettes (72.1%) and students with alcohol intake (65.5%). In the final model of the logistic regression analysis, presence of pain during the menstrual period increased the risk of presence of PMS by a factor of 1.554 (95% confidence interval, CI: 1.033-2.336; P = 0.034) and high scores on the total basic personality traits scale increased it by a factor of 1.016 (95% CI: 1.002-1.030; P = 0.029). The prevalence of premenstrual syndrome was found to be higher among students who were less extrovert (P = 0.007) and less conscientious (P = 0.001); and among students with higher neuroticism (P = 0.000) and negative valance (P = 0.000).

CONCLUSION

This study demonstrates that personality may be associated with premenstrual syndrome.

Interdisciplinary consensus on management of premenstrual disorders in Switzerland

Premenstrual disorders (PMD) can affect women throughout their entire reproductive years. In 2016, an interdisciplinary expert meeting of general gynecologists, gynecological endocrinologists, psychiatrists and psychologists from Switzerland was held to provide an interdisciplinary algorithm on PMD management taking reproductive stages into account. The Swiss PMD algorithm differentiates between primary and secondary PMD care providers incorporating different levels of diagnostic and treatment. Treatment options include cognitive behavioral therapy, alternative therapy, antidepressants, ovulation suppression and diuretics. Treatment choice depends on prevalent PMD symptoms, (reproductive) age, family planning, cardiovascular risk factors, comorbidities, comedication and the woman's preference. Regular follow-ups are mandatory.

Recreational Physical Activity and Premenstrual Syndrome in Young Adult Women: A Cross-Sectional Study

Introduction

It is estimated that up to 75% of premenopausal women experience at least one premenstrual symptom and 8–20% meet clinical criteria for premenstrual syndrome. Premenstrual syndrome substantially reduces quality of life for many women of reproductive age, with pharmaceutical treatments having limited efficacy and substantial side effects. Physical activity has been recommended as a method of reducing menstrual symptom severity. However, this recommendation is based on relatively little evidence, and the relationship between physical activity, premenstrual symptoms, and premenstrual syndrome remains unclear.

Methods

We evaluated the relationship between physical activity and premenstrual syndrome and premenstrual symptoms among 414 women aged 18–31. Usual premenstrual symptom experience was assessed with a modified version of the Calendar of Premenstrual Experiences. Total, physical, and affective premenstrual symptom scores were calculated for all participants. Eighty women met criteria for moderate-to-severe premenstrual syndrome, while 89 met control criteria. Physical activity, along with dietary and lifestyle factors, was assessed by self-report.

Results

Physical activity was not significantly associated with total, affective, or physical premenstrual symptom score. Compared to the women with the lowest activity, women in tertiles 2 and 3 of activity, classified as metabolic equivalent task hours, had prevalence odds ratios for premenstrual syndrome of 1.5 (95% CI: 0.6–3.7) and 0.9 (95% CI: 0.4–2.4), respectively (p-value for trend = 0.85).

Conclusions

We found no association between physical activity and either premenstrual symptom scores or the prevalence of premenstrual syndrome.

Fish Consumption and Premenstrual Syndrome and Dysphoric Disorder in Japanese Collegiate Athletes

STUDY OBJECTIVE

To determine the specific characteristics of premenstrual syndrome (PMS)/premenstrual dysphoric disorder (PMDD) in Japanese collegiate athletes, with a focus on their fish consumption.

DESIGN

Cross-sectional study.

SETTING

A university in Osaka, the largest city in western Japan.

PARTICIPANTS AND INTERVENTIONS

The participants were 312 female collegiate students. The study group was composed of 200 students who were members of sport clubs, and the control (nonathletes) group was composed of 112 members of cultural clubs.

MAIN OUTCOME MEASURES

Premenstrual symptoms and social activities.

RESULTS

The prevalence of moderate to severe PMS and PMDD in the study group was the same as in nonathletes. The prominent feature of premenstrual symptoms in athletes was that the severities of 'physical symptoms' and 'performance in training or competition' were much greater than those of nonathletes (P = .003 and P = .002, Mann-Whitney U test). There was a greater effect of PMS and PMDD on athletes, affecting their physical symptoms and performance compared with nonathletes. In terms of dietary habits, 'fish or dried fish' consumption was associated with a decreased risk of poor performance in athletes (odds ratio, 0.61; 95% confidence interval, 0.40-0.92).

CONCLUSION

The results from this study indicate that fish consumption might be positively associated with the relief of PMS/PMDD-induced athletic disturbance.

Association of premenstrual syndrome and premenstrual dysphoric disorder with bulimia nervosa and binge-eating disorder in a nationally representative epidemiological sample

OBJECTIVE

Bulimia nervosa (BN) and binge-eating disorder (BED) are associated with significant health impairment. Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) comprise both psychological (disturbances in mood and affect) and physiological (bloating and changes in appetite) symptoms that may trigger binge-eating and/or purging.

METHOD

Female participants were drawn from the Collaborative Psychiatric Epidemiological Surveys, conducted from 2001 to 2003. Weighted multivariable logistic regression modeled the association between lifetime PMS and PMDD and lifetime odds of BN or BED.

RESULTS

Among 8,694 participants, 133 (1.0%) had BN and 185 (1.8%) BED. Additionally, 366 (4.2%) had PMDD and 3,489 (42.4%) had PMS. Prevalence of PMDD and PMS were 17.4 and 55.4% among those with BN, 10.7 and 48.9% among those with BED and 3.4 and 59.1% among those with subthreshold BED. After adjustment for age, race/ethnicity, income, education, body mass index, age at menarche, birth control use, and comorbid mental health conditions, PMDD was associated with seven times the odds of BN (OR 7.2, 95% CI 2.3, 22.4) and PMS with two times the odds of BN (OR 2.5, 95% CI 1.1, 5.7). Neither PMDD nor PMS were significantly associated with BED.

DISCUSSION

Women with PMS and PMDD have a higher odds of BN, independent of comorbid mental health conditions. PMS and PMDD may be important comorbidities to BN to consider in clinical settings, and future research should investigate whether PMS and PMDD affect the onset and duration of bulimic symptoms as well as the potential for shared risk factors across disorders. © 2016 Wiley Periodicals, Inc.(Int J Eat Disord 2016; 49:641-650).