Pubertal development and risk of premenstrual disorders in young adulthood

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 bidirectional association between premenstrual disorders and perinatal depression: A nationwide register-based study from Sweden

BACKGROUND

Premenstrual disorders (PMDs) and perinatal depression (PND) share symptomology and the timing of symptoms of both conditions coincide with natural hormonal fluctuations, which may indicate a shared etiology. Yet, there is a notable absence of prospective data on the potential bidirectional association between these conditions, which is crucial for guiding clinical management. Using the Swedish nationwide registers with prospectively collected data, we aimed to investigate the bidirectional association between PMDs and PND.

METHODS AND FINDINGS

With 1,803,309 singleton pregnancies of 1,041,419 women recorded in the Swedish Medical Birth Register during 2001 to 2018, we conducted a nested case-control study to examine the risk of PND following PMDs, which is equivalent to a cohort study, and transitioned that design into a matched cohort study with onward follow-up to simulate a prospective study design and examine the risk of PMDs after PND (within the same study population). Incident PND and PMDs were identified through clinical diagnoses or prescribed medications. We randomly selected 10 pregnant women without PND, individually matched to each PND case on maternal age and calendar year using incidence density sampling (N: 84,949: 849,482). We (1) calculated odds ratio (OR) and 95% confidence intervals (CIs) of PMDs using conditional logistic regression in the nested case-control study. Demographic factors (country of birth, educational level, region of residency, and cohabitation status) were adjusted for. We (2) calculated the hazard ratio (HR) and 95% CIs of PMDs subsequent to PND using stratified Cox regression in the matched cohort study. Smoking, BMI, parity, and history of psychiatric disorders were further controlled for, in addition to demographic factors. Pregnancies from full sisters of PND cases were identified for sibling comparison, which contrasts the risk within each set of full sisters discordant on PND. In the nested case-control study, we identified 2,488 PMDs (2.9%) before pregnancy among women with PND and 5,199 (0.6%) among controls. PMDs were associated with a higher risk of subsequent PND (OR 4.76, 95% CI [4.52,5.01]; p < 0.001). In the matched cohort with a mean follow-up of 7.40 years, we identified 4,227 newly diagnosed PMDs among women with PND (incidence rate (IR) 7.6/1,000 person-years) and 21,326 among controls (IR 3.8). Compared to their matched controls, women with PND were at higher risk of subsequent PMDs (HR 1.81, 95% CI [1.74,1.88]; p < 0.001). The bidirectional association was noted for both prenatal and postnatal depression and was stronger among women without history of psychiatric disorders (p for interaction < 0.001). Sibling comparison showed somewhat attenuated, yet statistically significant, bidirectional associations. The main limitation of this study was that our findings, based on clinical diagnoses recorded in registers, may not generalize well to women with mild PMDs or PND.

CONCLUSIONS

In this study, we observed a bidirectional association between PMDs and PND. These findings suggest that a history of PMDs can inform PND susceptibility and vice versa and lend support to the shared etiology between both disorders.

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.

Late Luteal Subphase Food Craving Is Enhanced in Women with Obesity and Premenstrual Dysphoric Disorder (PMDD)

Dysregulated food craving is a complex weight-related behavior. To identify novel targets for enhancing the efficacy of weight loss interventions, we examined whether food craving varies across the menstrual cycle according to the abdominal obesity type and premenstrual dysphoric disorder (PMDD) diagnosis, and, if so, whether it is related to affective symptomatology. Reproductive-age women were classified into one of the four study groups according to whether they have abdominal obesity (AO) or are abdominally lean (AL), and the presence of PMDD: (1) AO:PMDD+ (n = 13), (2) AL:PMDD+ (n = 14), (3) AO:PMDD- (n = 15), and (4) AL:PMDD- (n = 16). Self-report measures as well as urinary luteinizing hormone (LH) tests were provided by the participants across 2-3 menstrual cycles. The ratings of food cravings were similar across the menstrual cycle, except the last, late luteal subphase as the AO:PMDD+ participants had the highest food craving rating. Irritability and depression were correlated with food cravings, but not in a distinctive manner across the menstrual cycle by group. Our study found that women with abdominal obesity and PMDD display a temporal vulnerability to a food-related behavior. The possibility of shared neurobiology between the two conditions is discussed and should be examined in future studies.

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.

Premenstrual disorders and gender differences in adolescent mental health

BACKGROUND

Gender differences in mental health emerge in adolescence. The timing coincides with the development of premenstrual disorders (PMDs). Here, we examine the association between PMDs and adolescent mental health in the context of gender differences.

METHODS

A cross-sectional analysis comprising 21,239[10,563 (49.7 %) girls] individuals aged 10-19 years from the Santai Youth Mental Health Promotion Cohort in China. Possible PMDs, major depression disorder (MDD), general anxiety disorder (GAD), history of self-injury, and high suicide-risk status were surveyed using standard questionnaires. We used logistic regression to contrast the prevalence of outcomes between girls with and without PMDs, and boys.

RESULTS

The prevalence rates of possible MDD and GAD were comparable between girls without PMDs and boys [OR1.03 (0.96-1.11) and 0.99 (0.92-1.07)], whereas a higher burden was observed in girls with PMDs [OR4.76(4.31-5.26) and 3.86(3.50-4.27), respectively]. Moreover, MDD/GAD prevalence among premenarchal girls was comparable to their peer boys. Greater gender differences in self-injury and high suicide-risk status were also found for girls with PMDs [OR 4.70 (4.22-5.24) and 7.49 (6.6-8.5)] than that for girls without PMDs [OR1.45(1.33-1.59) and 1.81 (1.62-2.03)].

LIMITATION

Girls with PMDs may have overreported depressive and/or anxiety symptoms due to the overlap of symptomology.

CONCLUSIONS

The greater gender differences in adolescent mental ill-health among girls with PMDs lend support to the hypothesis that PMDs play an important role in the gender disparities in adolescent mental health, particularly in depression and anxiety.

Premenstrual Disorders, Timing of Menopause, and Severity of Vasomotor Symptoms

Importance

Although premenstrual disorders (PMDs) end at menopause, it is unclear whether they are associated with the timing and symptom severity of menopause.

Objective

To prospectively examine whether women with PMDs have increased risks of early menopause and menopause-related vasomotor symptoms (VMS).

Design, Setting, and Participants

This population-based cohort study was nested in the Nurses' Health Study II (data collected from questionnaire sent between June 1991 and June 2017). Analysis of menopause timing included participants who did not have natural or surgical menopause before study entry, while the analysis of VMS was restricted to women who provided information on VMS. Data were analyzed from August 2022 to March 2023.

Exposures

PMDs were identified by self-reported diagnosis and confirmed with symptom questionnaires from 1991 to 2005. Participants were age-matched to women without PMD diagnoses and confirmed absence of or minimal premenstrual symptoms.

Main Outcomes and Measures

During follow-up through 2017, timing of natural menopause was assessed biennially, and VMS were assessed in 2009, 2013, and 2017. The association of PMDs with early menopause was assessed by Cox proportional hazards models and with VMS by logistic regression models.

Results

Of 1220 included women with PMDs, the median (IQR) age was 40.7 (37.3-43.8) years; of 2415 included women without PMDs, the median (IQR) age was 41.7 (38.3-44.8) years. The median (IQR) follow-up in this study was 20.3 (17.8-22-2) years. Early natural menopause (menopause before age 45 years) was reported by 17 women with PMDs (7.1 per 1000 person-years) and 12 women without PMDs (2.7 per 1000 person-years; adjusted hazard ratio, 2.67; 95% CI, 1.27-5.59). In addition, 795 women with PMDs (68.3%) and 1313 women without PMDs (55.3%) reported moderate or severe VMS (adjusted odds ratio, 1.68; 95% CI, 1.32-2.14). There was no observed association between PMDs and mild VMS (adjusted odds ratio, 0.99; 95% CI, 0.76-1.28).

Conclusions and Relevance

In this cohort study of US women, PMDs were associated with increased risks of early menopause and moderate or severe VMS. PMDs may be indicative of underlying physiology linked to early menopause and VMS, suggesting a phenotype observable during the reproductive years that may allow clinicians to target women at risk of earlier menopause and subsequent health risks later in the life course.

Premenstrual disorders: Premenstrual syndrome and premenstrual dysphoric disorder

Recently, the term premenstrual disorders (PMDs), which includes premenstrual syndrome and premenstrual dysphoric disorder as a continuum, has been proposed. Although the precise etiology of PMDs remains unknown, the involvement of hormonal fluctuations is clear. The brain transmitters, serotonin and γ-amino butyric acid, also seem to be involved. Serotonin reuptake inhibitors and oral contraceptives are the current mainstay of treatment, but these are insufficient. Even the currently used prospective two-period symptom diary is not widely used in actual clinical practice, creating a major problem of discrepancy between research and clinical practice. In this review, I would like to outline the latest information and problems in the etiology, diagnosis, and treatment of PMDs, with an emphasis on promising new therapies.

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.

Use of hormonal contraceptives and antidepressants and risks of suicidal behavior and accidents among women with premenstrual disorders: a nationwide cohort study

BACKGROUND

Women with premenstrual disorders (PMDs) are at increased risks of suicidal behavior and accidents. However, the effect of PMD first-line treatment on such risks have not been assessed.

METHODS

To study the association between use of hormonal contraceptives or antidepressants and subsequent risks of suicidal behavior and accidents among women with PMDs. We conducted a nationwide register-based cohort study with between- and within-individual analyses in Sweden. All women with a clinical diagnosis/indication of PMDs recorded in the Patient Register and the Prescribed Drug Register during 1987-2011 were included (n = 23 029, age 15-52 years). Information on hormonal contraceptives and antidepressants prescribed for these women was obtained from the Prescribed Drug Register. Events of suicidal behavior (complete suicide and suicide attempt) and accidents were separately identified through the Patient and the Causes of Death Registers. Incidence rate ratios (IRRs) and 95% confidence intervals (CIs) of suicidal behavior and accidents after use of hormonal contraceptives or antidepressants were estimated in between-individual and within-individual analyses (i.e., comparing the risk between use and no use in the same individual) using Poisson regression.

RESULTS

Women with PMDs were followed for a median of 6.2 years. Compared to no use of hormonal contraceptives, use of hormonal contraceptives was associated with a lower risk of suicidal behavior in both between-individual (IRR 0.76, 0.43-1.34) and within-individual analyses (IRR 0.65, 0.51-0.83). These risk reductions were primarily restricted to combined products (IRR 0.18, 0.07-0.47 and 0.19, 0.08-0.42 in between- and within-individual analyses) and observed among women with/without psychiatric comorbidities (p for interaction 0.830 and 0.043 in between- and within-individual analyses). Yet, the use of hormonal contraceptives was not consistently associated with risk of accidents between between-individual (IRR 1.13, 1.01-1.27) and within-individual analyses (IRR 1.01, 0.92-1.11). Use of antidepressants was associated with a higher risk of suicidal behavior and accidents in both between- and within-individual analyses.

CONCLUSIONS

Our findings suggest that use of hormonal contraceptives, particularly combined products, is associated with reduced rates of suicidal behaviors, but not accidents, among women with PMDs. The estimates for antidepressants may be biased by indication.

Behavioral Symptomatology in the Premenstruum

Objective: Sleep and eating behaviors are disturbed during the premenstrual phase of the menstrual cycle in a significant number of reproductive-age women. Despite their impact on the development and control of chronic health conditions, these behaviors are poorly understood. In the present study, we sought to identify affective and psychological factors which associate with premenstrual changes in sleeping and eating behaviors and assess how they impact functionality. Methods: Fifty-seven women provided daily ratings of premenstrual symptomatology and functionality across two-three menstrual cycles (156 cycles total). For each participant and symptom, we subtracted the mean day +5 to +10 (“post-menstruum”) ratings from mean day −6 to −1 (“pre-menstruum”) ratings and divided this value by participant- and symptom-specific variance. We completed the statistical analysis using multivariate linear regression. Results: Low interest was associated with a premenstrual increase in insomnia (p ≤ 0.05) and appetite/eating (p ≤ 0.05). Furthermore, insomnia was associated with occupational (p ≤ 0.001), recreational (p ≤ 0.001), and relational (p ≤ 0.01) impairment. Conclusions: Results of the present analysis highlight the importance of apathy (i.e., low interest) on the expression of behavioral symptomatology, as well as premenstrual insomnia on impairment. These findings can inform treatment approaches, thereby improving care for patients suffering from premenstrual symptomatology linked to chronic disease conditions.

Association Between Childhood Body Size and Premenstrual Disorders in Young Adulthood

Importance

Emerging data suggest that more than two-thirds of premenstrual disorders (PMDs), including premenstrual syndrome and premenstrual dysphoric disorder, have symptom onset during the teen years. Adulthood adiposity has been associated with PMDs; however, the association with childhood and adolescent body size is unknown.

Objective

To examine the association between childhood and adolescent body size and risk of PMDs in young adulthood.

Design, Setting, and Participants

This prospective cohort study included 6524 US female participants from the Growing Up Today Study (1996-2013). Data were analyzed from February 26, 2020, to June 23, 2021.

Exposures

Body mass index (BMI) was estimated using self-reported height and weight through adolescence and converted to BMI for age (z score).

Main Outcomes and Measures

In 2013, premenstrual symptoms and identified PMDs were assessed with a validated scale based on the Calendar of Premenstrual Experiences. The associations of BMI for age with PMDs and premenstrual symptoms were examined using log-binomial and linear regressions, respectively.

Results

Among 6524 participants (mean [SD] age, 26 [3.5] years; 6108 [93.6%] White), 1004 (15.4%) met the criteria for a PMD. Baseline BMI for age reported at a mean (SD) age of 12.7 (1.1) years was associated with increased risk of PMDs (confounding-adjusted relative risk, 1.09 per unit of z score; 95% CI, 1.03-1.15) and higher burden of premenstrual symptoms (β = 0.06; 95% CI, 0.04-0.08). Associations were particularly pronounced for premenstrual dysphoric disorder and for PMDs with symptom onset before 20 years of age and remained in the absence of psychiatric comorbidities, including depression, anxiety, and disordered eating behavior. When analyzing BMI change over time, individuals with high BMI throughout adolescence had a higher burden of premenstrual symptoms (β = 0.17; 95% CI, 0.08-0.27) compared with those with normal BMI throughout adolescence. Individuals with high BMI early followed by a mild decrease later did not report higher premenstrual symptoms (β = 0.06; 95% CI, 0.00-0.12).

Conclusions and Relevance

In this cohort study, childhood body size was associated with PMD risk and premenstrual symptoms in young adulthood. These findings suggest that maintaining a normal body mass in childhood may be considered for lowering the burden of PMDs in adulthood.

Association between adverse childhood experiences and premenstrual disorders: a cross-sectional analysis of 11,973 women

BACKGROUND

Childhood abuse and neglect have been associated with premenstrual disorders (PMDs), including premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD). However, the associations of other adverse childhood experiences (ACEs) and the cumulative number of ACEs with PMDs remain to be explored.

METHODS

To evaluate the associations of the cumulative number and types of ACEs with PMDs, we conducted a cross-sectional analysis with a subsample of menstruating women within the Stress-And-Gene-Analysis (SAGA) cohort, assessed for PMDs and ACEs (N=11,973). The cumulative and individual exposure of 13 types of ACEs was evaluated by a modified ACE-International Questionnaire. A modified version of the Premenstrual Symptom Screening Tool was used to identify probable cases of PMDs, further sub-grouped into PMS and PMDD. Prevalence ratios (PRs) of PMDs in relation to varying ACEs were estimated using Poisson regression.

RESULTS

At a mean age of 34.0 years (standard deviation (SD) 9.1), 3235 (27%) met the criteria of probable PMDs, including 2501 (21%) for PMS and 734 (6%) for PMDD. The number of ACEs was linearly associated with PMDs (fully-adjusted PR 1.12 per ACE, 95% CI 1.11-1.13). Specifically, the PR for PMDs was 2.46 (95% CI 2.21-2.74) for women with 4 or more ACEs compared with women with no ACEs. A stronger association was observed for probable PMDD compared to PMS (p for difference <0.001). The associations between ACEs and PMDs were stronger among women without PTSD, anxiety, or depression, and without childhood deprivation and were stronger among women a lower level of social support (p for interaction<0.001). All types of ACEs were positively associated with PMDs (PRs ranged from 1.11 to 1.51); the associations of sexual abuse, emotional neglect, family violence, mental illness of a household member, and peer and collective violence were independent of other ACEs.

CONCLUSIONS

Our findings suggest that childhood adverse experiences are associated with PMDs in a dose-dependent manner. If confirmed by prospective data, our findings support the importance of early intervention for girls exposed to ACEs to minimize risks of PMDs and other morbidities in adulthood.

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.