The multifactorial aetiology and management of premenstrual dysphoric disorder with leuprorelin acetate.

Up to 18% of women of reproductive age may experience symptoms during the luteal phase of the menstrual cycle known as premenstrual syndrome (PMS) or its more severe form, premenstrual dysphoric disorder (PMDD). A plethora of symptoms have been described, but both are commonly associated with other mood-related disorders such as major depression causing significant life impairment. Originally known as late luteal phase dysphoric disorder in the DSM-III-R (American Psychiatric Association 1987), the syndrome was renamed PMDD in the DSM-IV (American Psychiatric Association 1994). Between 3% and 8% of women meet the diagnostic criteria for PMDD. Currently, there is no consensus on its aetiology although it is thought to be multifactorial. Biological, genetic, psychological, environmental and social factors have all been suggested. However, an altered sensitivity to the normal hormonal fluctuations that influence functioning of the central nervous system is thought most likely. PMDD is identified in the DSM-5 by the presence of at least five symptoms accompanied by significant psychosocial or functional impairment. During evaluation, it is recommended that clinicians confirm symptoms by prospective patient mood charting for at least two menstrual cycles. Management options include psychotropic agents, ovulation suppression and dietary modification. Selective serotonin reuptake inhibitors (SSRIs) are considered primary therapy for psychological symptoms. Ovulation suppression is another option with the combined oral contraceptive pill (COCP) or GnRH (gonadotropin-releasing hormone) agonists. Rarely symptoms warrant a bilateral oophorectomy and a 6-month trial of GnRH agonists prior to surgery may be prudent to determine its potential efficacy. The authors present the case of a multiparous woman in her mid-30s experiencing severe symptoms during the luteal phase of her menstrual cycle. A trial of the contraceptive pill and SSRIs were unsuccessful. Treatment with leuprorelin acetate (Prostap) improved her symptoms. She therefore elected to undergo a bilateral oophorectomy with resolution of her symptoms. She started hormone replacement therapy (HRT). This case demonstrates the multifactorial aetiology of PMDD and the challenges in its management. Women with PMDD suffer functional impairments comparable with other depressive disorders and yet PMDD and its impact remain under-recognised. As the psychological nature and consequences of PMDD often seem indistinguishable from symptoms of other mental health difficulties, this condition presents distinct diagnostic challenges for healthcare professionals. It is crucial to establish the correct diagnosis using clearly defined criteria because if it is left untreated, it can cause considerable impairment to the woman's quality of life.

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.

Premenstrual syndrome and premenstrual dysphoric disorder / Premenstruális szindróma és premenstruális dysphoriás zavar

Premenstrual syndrome (PMS) is one of the most common problems for women of reproductive age worldwide, along with painful menstruation and genital inflammation. The physical, mental and behavioural symptoms recur during the luteal phase of the cycle and cause a deterioration in the quality of life, affecting the patient's social, work and family relationships. Symptoms typically disappear spontaneously within a few days after the onset of menstruation. A severe form of PMS is premenstrual dysphoric disorder (PMDD), which requires psychiatric management. The onset and severity of PMS with multifactorial pathogenesis is triggered by psychoneuroendocrine mechanisms that are influenced by the cyclical functioning of the hypothalamic-pituitary-ovarian axis, altering the neurotransmitter or neuropathway functions of the brain, e.g., the serotoninergic system. The psychoneuroendocrine mechanisms contribute to the development of physical, psychological and behavioural symptoms, which are also influenced by the combined presence of other physiological (genetical background, metabolic and chronic inflammatory processes, chronobiological and circadian disorders) and psychological stressors and their interaction.

Association among Premenstrual Syndrome, Dietary Patterns, and Adherence to Mediterranean Diet.

Premenstrual syndrome (PMS) adversely affects the physiological and psychological health and quality of life of women. Mediterranean diet (MD) could be helpful for managing and preventing PMS, but evidence on the association between dietary patterns and PMS in Asian women is limited. This study aimed to investigate the association of dietary patterns and adherence to MD with PMS in Korean women. This cross-sectional study recruited 262 women aged 20-49 years via an online survey. PMS was diagnosed using the American College of Obstetricians and Gynecologists diagnostic criteria. MD adherence was assessed using the Korean version of the Mediterranean Diet Adherence Screener. Mediterranean Diet Score (MDS) was classified into tertiles (T) (T1: 0-3, T2: 4-5, and T3: ≥6). Dietary pattern was assessed with the Food Frequency Questionnaire. Multiple logistic regression analyses were conducted to evaluate the association between dietary pattern scores and PMS prevalence. The proportion of PMS was significantly lower in MDS tertile (T) 3 than in T1 (55.4% in T3 vs. 74.4% in T1, p = 0.045). After adjusting for confounders, participants in the highest tertile of the bread/snack pattern had a higher risk of PMS (odds ratio [95% CI]: 2.59 [1.32-5.06]), while traditional dietary pattern and meat/alcohol pattern were not associated with PMS. In conclusion, we found that low adherence to MD and higher bread/snack dietary pattern were associated with increased risk of PMS, respectively.

Association between Premenstrual Symptoms and Posttraumatic Stress Symptoms by COVID-19: A Cross-Sectional Study with Japanese High School Students.

COVID-19 has caused an unprecedented global pandemic. Premenstrual symptoms include mood-related, behavioral, and physical symptoms that are limited to the luteal phase of the menstrual cycle. Psychosocial stress is a risk factor for premenstrual symptoms. The aim of this study was to examine the association between premenstrual symptoms and stress caused by COVID-19. We analyzed data from 871 students with regular menstrual cycles who completed the Premenstrual Symptoms Questionnaire (PSQ), Fear of COVID-19 Scale, and Impact of Event Scale-Revised version (IES-R). The total PSQ score was significantly higher in women with COVID-19-induced posttraumatic stress symptoms (PTSS) than in non-PTSS groups. Compared with pre-pandemic data (2019), the total PSQ score did not change in non-PTSS, but increased in PTSS groups. All symptoms were more severe in PTSS groups than in non-PTSS groups. Compared with 2019, PTSS groups had more severe symptoms for all symptoms except 'physical symptoms' and 'decreased social activity', and non-PTSS groups only exhibited improvements in the 'decreased social activity'. Multiple regression analysis revealed that the IES-R score was a significant exacerbation factor of the total PSQ score, along with age and menstrual pain. This study revealed the association between pandemic-associated PTSS and the severity of premenstrual symptoms.

The relationship between short stature and menstrual pattern in a large cohort of Iranian girls.

The aim of this study was to investigate the relationship between stature and menstrual pattern. Nine hundred and seventy six girls were selected from regions within two cities in north-eastern Iran in 2015. They were assessed with respect to: their stature and menstrual pattern, age of menstruation, severity of dysmenorrhoea, duration of their menstrual cycle and flow. 841 girls had experienced menarche. 10.5% had a short stature. There were significant differences in age, height, weight and body mass index between those who had experienced their first menstrual cycle and others (p < .001). There were weak and negative correlation between age of menarche and height percentiles (r = -0.12, p < .001). Premenstrual syndrome, duration of menstruation cycle and bleeding period did not differ between these two groups (p > .05). We found that dysmenorrhoea was significantly influenced by height. Although the mean age at menarche was statistically significant among different statures, the range was narrow (12.2-12.7). Further studies considering environmental factors, including socioeconomic status and nutrition concurrently, are also required.Impact statementWhat is already known on this subject? Various menstrual characteristics, including age of menarche, severity of dysmenorrhoea and duration of menstrual period may be associated with height. But, there have been few studies on the relationship between short stature and its impact on health status and menstrual patterns in adolescents.What do the results of this study add? There were significant differences in age, height, weight and body mass index between adolescent girls who had experienced their first menstrual cycle, and others. There were weak, negative, significant correlations between age of menarche and height percentiles. Dysmenorrhoea was significantly influenced by height.What are the implications of these findings for clinical practice and/or further research? Life style modification and nutritional interventions that optimise the height of girls may resolve their menstrual problems and dysmenorrhoea.

Lifestyle Factors Associated with Premenstrual Syndrome: A Cross-sectional Study of Japanese High School Students.

STUDY OBJECTIVE: To investigate the relationships between premenstrual syndrome (PMS) and lifestyle, sleep, and dietary habits among Japanese high school students. DESIGN: Cross-sectional study. SETTING: Two public high schools in Sendai, the largest city in northeastern Japan. PARTICIPANTS: A school-based survey was conducted among 1818 female Japanese high school students in 2015, and 1022 students with regular menstrual cycles (25-38 days) completed the questionnaire. INTERVENTIONS AND MAIN OUTCOME MEASURES: Relationships between PMS and lifestyle, sleep, and dietary habits. RESULTS: The rates of moderate to severe PMS and premenstrual dysphoric disorder were 9.7% (99/1022) and 2.2% (22/1022), respectively. A total of 121 students (11.9%) were classified as having PMS-the PMS(+) group. Significant differences were observed between the PMS(+) group and those without PMS-the PMS(-) group-in age at menarche (P = .022), menstrual pain (P < .001), hypnagogic disorder (P < .001), long Internet use time (P < .001), eating breakfast (P = .018), chewing well (P = .037), and belonging to a sports club (P = .046). Multivariate analysis revealed that the risk factors for PMS were menstrual pain (odds ratio [OR], 4.74; 95% confidence interval [CI]: 2.83-7.95), hypnagogic disorder (OR, 2.22; 95% CI, 1.47-3.35), stress fracture (OR, 2.19; 95% CI, 1.21-3.98), and Internet use time (OR, 1.003; 95% CI, 1.001-1.005). Belonging to a sports club decreased the risk of PMS (OR, 0.57; 95% CI, 0.35-0.91). CONCLUSION: Sleep, dietary habits, belonging to a sports club, and screen time affect PMS among high school students.

Premenstrual Syndrome Is Associated with Dietary and Lifestyle Behaviors among University Students: A Cross-Sectional Study from Sharjah, UAE.

Premenstrual syndrome (PMS) is a cyclical late luteal phase disorder of the menstrual cycle whereby the daily functioning of women is affected by emotional and physical symptoms substantially interfering with their quality of life. Little is known about PMS in the United Arab Emirates (UAE). This study aimed to determine the prevalence and severity of PMS among university students in Sharjah, UAE, and clarify its associations with dietary habits, lifestyle behaviors, and anthropometric factors. A cross-sectional study was conducted on female college students at the University of Sharjah, UAE. Data were collected using self-administered questionnaires and anthropometric assessments. Descriptive statistics and multiple logistic regression analyses were performed. Participants were 300 adult university students aged 18-24 years (mean age 20.07 ± 1.53 years). In total, 95% of participants reported at least one PMS symptom during their menstrual period. The prevalence of PMS was 35.3%, with mild symptoms being the most commonly reported. Multiple regression analysis showed that smoking was associated with increased risk of reporting psychological (OR 2.5, 95% CI 1.1-5.8; p < 0.05) and behavioral symptoms (OR 2.2, 95% CI 1.0-4.9; p < 0.05), while high calorie/fat/sugar/salt foods intake was associated with increased risk of reporting physical symptoms (OR 3.2, 95% CI 1.4-7.3; p < 0.05). However, fruit consumption (OR 0.34, 95% CI 0.125-0.92; p < 0.05) was associated with a decreased risk of reporting behavioral symptoms. A high prevalence of PMS was reported among university students, with smoking and high calorie/fat/sugar/salt food consumption identified as strong risk factors for PMS.

Tobacco consumption and premenstrual syndrome: A case-control study.

OBJECTIVE: To assess whether tobacco smoking is associated with Premenstrual Syndrome (PMS) and its most severe form, Premenstrual Dysphoric Disorder (PMDD). DESIGN: Case-control study with incident cases using the Spanish public healthcare system. SETTING: 3 major public hospitals and one family counseling and planning center. POPULATION: Women consulting for troubles related to menstruation and for other motives such as screening for uterine cancer, contraception counseling or desire for pregnancy. METHODS: Logistic regression. MAIN OUTCOME MEASURES: Odds Ratios of PMS and PMDD. RESULTS: 285 incident PMS cases and 285 age-matched controls on the one hand, and 88 incident PMDD cases and 176 controls on the other hand participated in the study. The odds of premenstrual disorders was higher in current smokers compared with never smokers: Odds Ratio (OR) = 1.78, 95% Confidence Interval (CI): 1.20-2.63 for PMS and OR = 2.92, 95%CI: 1.55-5.50 for PMDD. For PMS, women who smoke 1 to 5 cigarettes/day presented an OR = 2.82, 95%CI: 1.57-5.06 and those who smoke more than 15 cigarettes/day an OR = 2.52, 95%CI: 0.99-6.40. Compared to non-smokers, current and ex-smokers who smoked < 3 pack-years presented an OR = 1.79, 95%CI: 1.04-3.08 for PMS, and an OR = 3.06, 95%CI: 1.27-7.35 for PMDD. Smokers of 3 to 8 pack-years presented an OR = 2.34, 95%CI: 1.33-4.13 for PMS and OR = 3.56, 95%CI: 1.55-8.17 for PMDD. These results were confirmed by the exposure-effect curve obtained from a cubic spline model. CONCLUSIONS: This study shows that smokers are more likely to develop PMS and PMDD.

Protein intake and the risk of premenstrual syndrome.

OBJECTIVE: To examine the relationship between protein intake and the risk of incident premenstrual syndrome (PMS). DESIGN: Nested case-control study. FFQ were completed every 4 years during follow-up. Our main analysis assessed protein intake 2-4 years before PMS diagnosis (for cases) or reference year (for controls). Baseline (1991) protein intake was also assessed. SETTING: Nurses' Health Study II (NHS2), a large prospective cohort study of registered female nurses in the USA.ParticipantsParticipants were premenopausal women between the ages of 27 and 44 years (mean: 34 years), without diagnosis of PMS at baseline, without a history of cancer, endometriosis, infertility, irregular menstrual cycles or hysterectomy. Incident cases of PMS (n 1234) were identified by self-reported diagnosis during 14 years of follow-up and validated by questionnaire. Controls (n 2426) were women who did not report a diagnosis of PMS during follow-up and confirmed experiencing minimal premenstrual symptoms. RESULTS: In logistic regression models adjusting for smoking, BMI, B-vitamins and other factors, total protein intake was not associated with PMS development. For example, the OR for women with the highest intake of total protein 2-4 years before their reference year (median: 103·6 g/d) v. those with the lowest (median: 66·6 g/d) was 0·94 (95 % CI 0·70, 1·27). Additionally, intakes of specific protein sources and amino acids were not associated with PMS. Furthermore, results substituting carbohydrates and fats for protein were also null. CONCLUSIONS: Overall, protein consumption was not associated with risk of developing PMS.

Posttraumatic stress disorder and development of premenstrual syndrome in a longitudinal cohort of women.

We examined the association between posttraumatic stress disorder (+PTSD) symptoms and incident premenstrual syndrome (PMS) in a longitudinal study with 14 years follow-up of 2924 women aged 27-44. Compared to women with no trauma exposure, women with trauma/PTSD were at significantly increased risk of PMS (p-trend < .001): 1) trauma/no PTSD odds ratio (OR) = 1.31 [95% confidence interval (CI) 1.05-1.63], 2) 1-3 PTSD symptoms OR = 1.71 [95% CI = 1.33-2.20], 3) 4-5 PTSD symptoms OR = 2.90 [95% CI = 2.07-4.05], and 4) 6-7 PTSD symptoms OR = 3.42 [95% CI = 2.18-5.36].

Premenstrual syndrome and alcohol consumption: a systematic review and meta-analysis.

OBJECTIVE: Premenstrual syndrome (PMS) is a very common disorder worldwide which carries an important economic burden. We conducted a systematic review and a meta-analysis to assess the role of alcohol in the occurrence of PMS. METHODS: We searched MEDLINE, EMBASE, the five regional bibliographic databases of the WHO, the Proceedings database and the Open Access Thesis and Dissertations (OATD) from inception to May 2017. We also reviewed the references of every article retrieved and established personal contact with researchers to trace further publications or reports. We did not include any language limitations. Studies were included if: (1) they presented original data from cohort, case-control or cross-sectional studies, (2) PMS was clearly defined as the outcome of interest, (3) one of the exposure factors was alcohol consumption, (4) they provided estimates of odds ratios, relative risks, or any other effect measure and their confidence intervals, or enough data to calculate them. RESULTS: We identified 39 studies of which 19 were eligible. Intake of alcohol was associated with a moderate increase in the risk of PMS (OR=1.45, 95% CI: 1.17 to 1.79). Heavy drinking yielded a larger increase in the risk than any drinking (OR=1.79, 95% CI: 1.39 to 2.32). DISCUSSION: Our results suggest that alcohol intake presents a moderate association with PMS risk. Future studies should avoid cross-sectional designs and focus on determining whether there is a threshold of alcohol intake under which the harmful effect on PMS is non-existent.

Menstrual Cycle, Vocal Performance, and Laryngeal Vascular Appearance: An Observational Study on 17 Subjects.

OBJECTIVE: To assess the anatomical and functional features of the vocal folds during different phases of the female menstrual cycle. METHODS: An observational study of 17 healthy fertile female volunteers not using hormonal contraception was carried out. Each volunteer underwent two examinations: first, during the early days of the menstrual cycle when progesterone levels are low (p-depletion), and second, during premenstruation when progesterone levels are high (p-peak). The workup included blood hormone levels, Voice Handicap Index, acoustic analysis, rigid telescopy, stroboscopy, and narrow band imaging. The videos were evaluated by blinded observers. RESULTS: The participants' mean age was 31.7 ± 5.6 (range 23-43). Progesterone levels were 13- to 45-fold higher in p-peak relative to p-depletion. No significant differences were detected in Voice Handicap Index scores, stroboscopic reports, or acoustic analysis between p-peak and p-depletion examinations. Analyzing the rigid telescopy and narrow band imaging videos, the observers tended to estimate the different laryngeal subsites more vascularized during the p-peak examination. Moreover, this tendency was significantly correlated with blood progesterone levels during the p-depletion examinations; the lower the blood progesterone levels were during p-depletion, the higher the probability for the observers to estimate the p-peak examinations more vascularized (P value = 0.024). CONCLUSIONS: Alterations in laryngeal vascular characteristics are evident throughout the menstrual cycle and may suggest increased congestion during premenstrual days. Variations in progesterone levels during the menstrual cycle correlate with laryngeal vascular changes. Hormone-related alterations in vocal folds' vascularity may have a role in the variability of vocal performance in certain women.

Intake of dietary fat and fat subtypes and risk of premenstrual syndrome in the Nurses' Health Study II.

Approximately 8-20 % of reproductive-aged women experience premenstrual syndrome (PMS), substantially impacting quality of life. Women with PMS are encouraged to reduce fat intake to alleviate symptoms; however, its role in PMS development is unclear. We evaluated the association between dietary fat intake and PMS development among a subset of the prospective Nurses' Health Study II cohort. We compared 1257 women reporting clinician-diagnosed PMS, confirmed by premenstrual symptom questionnaire and 2463 matched controls with no or minimal premenstrual symptoms. Intakes of total fat, subtypes and fatty acids were assessed via FFQ. After adjustment for age, BMI, smoking, Ca and other factors, intakes of total fat, MUFA, PUFA and trans-fat measured 2-4 years before were not associated with PMS. High SFA intake was associated with lower PMS risk (relative risk (RR) quintile 5 (median=28·1 g/d) v. quintile 1 (median=15·1 g/d)=0·75; 95 % CI 0·58, 0·98; P trend=0·07). This association was largely attributable to stearic acid intake, with women in the highest quintile (median=7·4 g/d) having a RR of 0·75 v. those with the lowest intake (median=3·7 g/d) (95 % CI 0·57, 0·97; P trend=0·03). Individual PUFA and MUFA, including n-3 fatty acids, were not associated with risk. Overall, fat intake was not associated with higher PMS risk. High intake of stearic acid may be associated with a lower risk of developing PMS. Additional prospective research is needed to confirm this finding.

Premenstrual Dysphoric Disorder.

Premenstrual dysphoric disorder (PMDD) comprises emotional and physical symptoms and functional impairment that lie on the severe end of the continuum of premenstrual symptoms. Women with PMDD have a differential response to normal hormonal fluctuations. This susceptibility may involve the serotonin system, altered sensitivity of the GABAA receptor to the neurosteroid allopregnanalone, and altered brain circuitry involving emotional and cognitive functions. Serotonin reuptake inhibitors are considered the first-line treatment. Second-line treatments include oral contraceptives containing drospirenone, other ovulation suppression methods, calcium, chasteberry, and cognitive-behavioral therapy.

The cytokine-hormone axis - the link between premenstrual syndrome and postpartum depression.

Premenstrual syndrome (PMS) and related disorders, and postpartum depression (PPD) can affect women to the extent that their quality of life and that of their near ones can be severely impaired. This review focuses on the different theories regarding the etiologies of PMS and PPD, and attempts to draw a link between the two. Theories focus mainly on hormonal and cytokine factors throughout different phases in the female reproductive cycle. Changes in this symptomatology during pregnancy are also reviewed, as are changes in hormones and cytokine levels. Hypotheses are thus developed as to why the symptoms experienced in PMS often subside during pregnancy yet may recur and be exacerbated after birth, giving rise to the symptoms experienced in PPD.

A prospective study of caffeine and coffee intake and premenstrual syndrome.

BACKGROUND: Clinically significant premenstrual syndrome (PMS) affects 15-20% of premenopausal women, substantially reducing quality of life. Women with PMS often are counseled to minimize caffeine intake, although only limited evidence supports this recommendation. OBJECTIVE: We evaluated the association between total caffeine, coffee, and tea intake and the development of PMS in a case-control study nested within the prospective Nurses' Health Study II. DESIGN: All participants were free from PMS at baseline (1991). PMS cases reported a new clinician-made diagnosis of PMS on biennial questionnaires between 1993 and 2005, and then confirmed symptom timing and moderate-to-severe impact and severity of symptoms with the use of a retrospective questionnaire (n = 1234). Controls did not report PMS and confirmed experiencing no symptoms or few mild symptoms with limited personal impact (n = 2426). Caffeine, coffee, and tea intake was measured by food-frequency questionnaires every 4 y, and data on smoking, body weight, and other factors were updated every 2-4 y. Logistic regression was used to evaluate the associations of total caffeine intake and frequency of coffee and tea consumption with PMS. RESULTS: After adjustment for age, smoking, and other factors, total caffeine intake was not associated with PMS. The OR comparing women with the highest (quintile median = 543 mg/d) to the lowest (quintile median = 18 mg/d) caffeine intake was 0.79 (95% CI: 0.61, 1.04; P-trend = 0.31). High caffeinated coffee intake also was not associated with risk of PMS or specific symptoms, including breast tenderness (OR for ≥4 cups/d compared with <1/mo: 0.73; 95% CI: 0.48, 1.12; P-trend = 0.44). CONCLUSIONS: Our findings suggest that caffeine intake is not associated with PMS, and that current recommendations for women to reduce caffeine intake may not help prevent the development of PMS.

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.