Prevalence of dysmenorrhea among reproductive age group in Saudi Women

The influence of physical activity, body mass index and urinary levels of prostaglandin (PGF2α) with the incidence of primary dysmenorrhea in adolescents

OBJECTIVE

This study aims to investigate the effect of physical activity, body mass index (BMI), and levels of prostaglandins (PGF2α) urine on the occurrence of dysmenorrhea in adolescents.

METHODS

A total of 128 female students included in the study. The study was conducted from January to March 2023 using a cross-sectional design. This study utilized the Menstrual Symptom Questionnaire (MSQ) and gynecological examination with ultrasonography. The urinary prostaglandin (PGF2α) was measured using the enzyme linked immuno sorbent assay (ELISA). Data were analyzed using the chi-square test and logistic regression test.

RESULTS

The age range of the participants included in the study was 14-17, with a mean age of 15.85 ± 0.65. There was an correlation between physical activity, BMI, and urinary prostaglandin (PGF2α) levels with the incidence of dysmenorrhea in adolescents (p < 0.001). In multivariate analysis, it revealed that underweight, and had a high urinary prostaglandin significant correlated to primary dysmenorrhea with odds ratio 4.78 (95% confidence interval [CI] 1.98-11.54) and 4.88 (95% CI 1.98-12.08), respectively. High physical activity and overweight was not associated with incidence of dysmenorrhea in adolescents.

CONCLUSION

This study provides valuable insights into the correlation between physical activity, BMI, and levels of prostaglandins (PGF2α) in urine. A high level of urinary prostaglandin was found to be the most influential factor in the incidence of primary dysmenorrhea in adolescents. By addressing factors associated with dysmenorrhea in adolescents, healthcare professionals can potentially enhance well-being by reducing menstrual pain and encouraging a healthy lifestyle to prevent dysmenorrhea.

Feasibility Study on Menstrual Cycles With Fitbit Device (FEMFIT): Prospective Observational Cohort Study

BACKGROUND

Despite its importance to women's reproductive health and its impact on women's daily lives, the menstrual cycle, its regulation, and its impact on health remain poorly understood. As conventional clinical trials rely on infrequent in-person assessments, digital studies with wearable devices enable the collection of longitudinal subjective and objective measures.

OBJECTIVE

The study aims to explore the technical feasibility of collecting combined wearable and digital questionnaire data and its potential for gaining biological insights into the menstrual cycle.

METHODS

This prospective observational cohort study was conducted online over 12 weeks. A total of 42 cisgender women were recruited by their local gynecologist in Berlin, Germany, and given a Fitbit Inspire 2 device and access to a study app with digital questionnaires. Statistical analysis included descriptive statistics on user behavior and retention, as well as a comparative analysis of symptoms from the digital questionnaires with metrics from the sensor devices at different phases of the menstrual cycle.

RESULTS

The average time spent in the study was 63.3 (SD 33.0) days with 9 of the 42 individuals dropping out within 2 weeks of the start of the study. We collected partial data from 114 ovulatory cycles, encompassing 33 participants, and obtained complete data from a total of 50 cycles. Participants reported a total of 2468 symptoms in the daily questionnaires administered during the luteal phase and menses. Despite difficulties with data completeness, the combined questionnaire and sensor data collection was technically feasible and provided interesting biological insights. We observed an increased heart rate in the mid and end luteal phase compared with menses and participants with severe premenstrual syndrome walked substantially fewer steps (average daily steps 10,283, SD 6277) during the luteal phase and menses compared with participants with no or low premenstrual syndrome (mean 11,694, SD 6458).

CONCLUSIONS

We demonstrate the feasibility of using an app-based approach to collect combined wearable device and questionnaire data on menstrual cycles. Dropouts in the early weeks of the study indicated that engagement efforts would need to be improved for larger studies. Despite the challenges of collecting wearable data on consecutive days, the data collected provided valuable biological insights, suggesting that the use of questionnaires in conjunction with wearable data may provide a more complete understanding of the menstrual cycle and its impact on daily life. The biological findings should motivate further research into understanding the relationship between the menstrual cycle and objective physiological measurements from sensor devices.

Omega-3 long chain polyunsaturated fatty acids as a potential treatment for reducing dysmenorrhoea pain: Systematic literature review and meta-analysis

AIM

This systematic literature review with meta-analysis aimed to determine the effect of omega-3 long chain polyunsaturated fatty acids on prostaglandin levels and pain severity in women with dysmenorrhoea and identify adverse side effects.

METHODS

A literature search was conducted in Embase, Scopus, Web of Science, MEDLINE complete, CINAHL and AMED databases (PROSPERO CRD42022340371). Included studies provided omega-3 long chain polyunsaturated fatty acids compared to a control in women with dysmenorrhoea and reported pain and/or prostaglandin levels. A random effects meta-analysis with Cohen's d effect size (95% confidence interval) was performed in SPPS for studies that reported pain outcomes. Study quality was assessed using the Academy of Nutrition and Dietetics Quality Criteria Checklist.

RESULTS

Twelve studies (n = 881 dysmenorrhoeal women) of predominantly neutral quality (83%) were included that provided daily supplementation of 300-1800 mg omega-3 long chain polyunsaturated fatty acids over 2 or 3 months. Meta-analysis (n = 8 studies) showed a large effect of omega-3 long chain polyunsaturated fatty acids (d = -1.020, 95% confidence interval -1.53 to -0.51) at reducing dysmenorrhoea pain. No studies measured prostaglandin levels, 86% of studies measuring analgesic use showed a reduction with omega-3 long chain polyunsaturated fatty acids and few studies reported mild adverse side effects in individual participants.

CONCLUSIONS

Findings suggest that daily supplementation of 300-1800 mg omega-3 long chain polyunsaturated fatty acids over 2-3 months are generally well tolerated and reduces pain and analgesic use in women with dysmenorrhoea. However, the neutral quality of research is limited by methodological issues and the mechanism of action remains to be determined.

Insight into Dysmenorrhea Research from 1992 to 2022: A Bibliometric Analysis

Dysmenorrhea, classified as primary dysmenorrhea and secondary dysmenorrhea, is a common gynecological symptom that seriously affects female daily life. At present, studies on dysmenorrhea are numerous and complex. To better reflect the trend and innovative progress of dysmenorrhea-related research, this study screened papers on the Web of Science from January 1, 1992, to December 31, 2022. A total of 1012 papers were selected and analyzed for their affiliated countries, institutions, authors, keywords, etc. China is the country with the most academic output, Beijing University of Traditional Chinese Medicine is the most influential institution, and Yang Jie, from Chengdu University of Traditional Chinese Medicine, China, is the scholar with the most papers. We consider that the current research focus is on pathogenesis, treatment, epidemiology, and self-management. With increasing research on functional connectivity between dysmenorrhea and various brain regions, functional connectivity has gradually become the forefront of research. We hope our study can promote the further study of dysmenorrhea.

The Effect of Long-Term Menstrual Pain on Large-Scale Brain Network in Primary Dysmenorrhea Patients

Purpose

Primary dysmenorrhea (PD) is a common gynecological disease, characterized by crampy and suprapubic pain occurring with menses. Growing evidences demonstrated that PD patients were associated with abnormalities in brain function and structure. However, little is known regarding whether the large-scale brain network changes in PD patients. The purpose of this study was to investigate the effect of long-term menstrual pain on large-scale brain network in PD patients using independent component analysis (ICA) method.

Methods

Twenty-eight PD patients (female, mean age, 24.25±1.00 years) and twenty-eight healthy controls (HCs) (mean age, 24.46±1.31 years), closely matched for age, sex, and education, underwent resting-state magnetic resonance imaging scans. ICA was applied to extract the resting-state networks (RSNs) in two groups. Then, two-sample t-tests were conducted to investigate different intranetwork FCs within RSNs and interactions among RSNs between two groups.

Results

Compared to the HC group, PD patients showed significant increased intra-network FCs within the auditory network (AN), sensorimotor network (SMN), right executive control network (RECN). However, PD patients showed significant decreased intra-network FCs within ventral default mode network (vDMN) and salience network (SN). Moreover, FNC analysis showed increased VN-AN and decreased VN-SMN functional connectivity between two groups.

Conclusion

Our study highlighted that PD patients had abnormal brain networks related to auditory, sensorimotor and higher cognitive network. Our results offer important insights into the altered large-scale brain network neural mechanisms of pain in PD patients.