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.

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.

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 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.

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.

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.

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 (ß = 0.204), sleep disturbances (ß = 0.375), and eating attitude problems (ß = 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.

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.

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.

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.

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.

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.

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.

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).

Frequency of Premenstrual Dysphoric Disorder (PMDD) and Comparison of Quality of Life between Female Medical Students with and without Premenstrual Dysphoric Disorder.

OBJECTIVE: To determine the frequency of Premenstrual Dysphoric Disorder (PMDD) in female medical students, and to compare the quality of life between those with and without PMDD. STUDY DESIGN: Descriptive Study. Place and Duration of the Study: Fatima Jinnah Medical University, Lahore, from November 2019 to April 2020. METHODOLOGY: The study included 635 female medical students from the third year to the final year of MBBS. Quality of life was measured by using the World Health Organization Quality of Life Brief (WHOQOL-BREF) Scale and PMDD was diagnosed as per DSM-V Diagnostic criteria. Data were entered and analysed by IBM SPSS version 23.0. Scores of 4 domains of the WHOQOL-BREF scale were compared between the female medical students with and without PMDD. A p-value of ≤0.05 was considered statistically significant. RESULTS: Significant proportion i.e., 12.1% (77) out of 635 female medical students had PMDD. There was a significant difference in the physical and psychological domains scores of the WHOQOL-BREF scale between healthy students and students with PMDD (p-value <0.001). CONCLUSION: The physical and Psychological aspects of quality of life are significantly lower in female medical students with PMDD. KEY WORDS: WHOQOL-BREF, Premenstrual dysphoric disorder, Female medical students.

The prevalence of moderate-severe premenstrual syndrome and premenstrual dysphoric disorder and the related factors in high school students: A cross-sectional study.

OBJECTIVE: Premenstrual syndrome (PMS) is a clinical condition with physical and psychological symptoms affecting female students' quality of life, social activity, and school performance. Since most studies have focused on adult women, this study aimed to evaluate the prevalence of moderate-severe PMS, premenstrual dysphoric disorder (PMDD), and their related factors in high school students. METHODS: The participants of this cross-sectional study, conducted in 2019, were 900 high school students in Sari, north of Iran. They were selected by census method from six high schools. Data were collected using Premenstrual Syndrome Screening Tool and General Health Questionnaire. RESULTS: The prevalence of moderate-severe PMS and PMDD were 33.9% and 12.3%, respectively. According to the logistic regression model, dysmenorrhea was significantly associated with a higher prevalence of moderate-severe PMS [adjusted odds ratio (AOR) 2.356, confidence interval (CI): 1.706-3.254, p < 0.0001] and PMDD (AOR: 1.924, CI: 1.186-3.120, p = 0.0008). Moreover, optimal general health was associated with a lower prevalence of moderate-severe PMS (AOR: 0.326, CI: 0.221-0.480, p < 0.0001) and PMDD (AOR: 0.309, CI: 0.161-0.593, p < 0.0001). The findings revealed that a family history of PMS and adding excess salt to the food were associated with a higher prevalence of PMDD (p < 0.05). CONCLUSION: Although many high school students do not meet the criteria for PMDD, many experience PMS, which could be diminished with proper diet and improved general health.

Premenstrual Syndrome among Medical Students of a Medical College: A Descriptive Cross-sectional Study.

Introduction: Premenstrual syndrome is the premenstrual disorder with wide range of prevalence world-wide leading to higher rates of work absences, higher medical expenses, and lower health-related quality of life. The aim of this study was to find out the prevalence of premenstrual syndrome among medical students of a medical college. Methods: A descriptive cross sectional study was conducted in a medical college among medical students using self-reported questionnaires based on American College of Obstetricians and Gynaecologists criteria for premenstrual syndrome, and 12-Item Short Form Health Survey for quality of life, from 1 January 2022 to 31 March 2022 after obtaining ethical approval from the Institutional Review Committee (Reference number: 207807955). Convenience sampling was used among students who met the inclusion criteria. Point estimate and 95% Confidence Interval were calculated. Results: Among 113 patients, premenstrual syndrome according was seen in 83 (73.45%) (82.93-83.06, 95% Confidence Interval) out of which, 56 (67.46%) showed mild premenstrual syndrome, and 27 (32.53%) had moderate premenstrual syndrome. The most commonly reported affective symptoms of premenstrual syndrome was irritability 82 (98.79%), while the somatic symptoms was abdominal bloating 63 (75.90%). Conclusions: The prevalence of premenstrual syndrome among medical students was similar to in the other studies done in similar settings. Keywords: premenstrual syndrome; prevalence; quality of life.