Symptoms-Based Phenotypes Among Women With Dysmenorrhea: A Latent Class Analysis

Social Determinants of Health and Dysmenorrhea: A Systematic Review

Social determinants of health play a key role in health disparities. Dysmenorrhea is a highly prevalent and impactful public health problem affecting reproductive-age females. Systematically examining social determinants of health (SDoH) in dysmenorrhea is important for identifying gaps in the literature and informing research, policy, and clinical practice to reduce the public health burden associated with dysmenorrhea. The purpose of this systematic review was to synthesize the literature on SDoH and dysmenorrhea. The review protocol was prospectively registered. We searched Medline, EMBASE, CINAHL, PsycINFO, Scopus, and Google Scholar through February 2024 using search strategies informed by the literature. Screening of the articles, data extraction, and risk-of-bias (RoB) assessment were conducted independently by at least 2 reviewers on the Covidence platform. Among 2,594 unique records screened, 166 met eligibility criteria and were included for data extraction and RoB assessment. Evidence suggests traumatic experiences, toxic environmental exposures, female genital mutilation, job-related stress, lack of menstrual education, and low social support were associated with worse dysmenorrhea outcomes. However, evidence was equivocal regarding the relationships between dysmenorrhea outcomes and SDoH factors, including socioeconomic status, geographical location, race/ethnicity, employment, and religion. Nearly all articles (99.4%) had a high or very high overall RoB. The relationships between SDoH and dysmenorrhea outcomes were often inconsistent and complicated by heterogeneous study populations and methodologies. More rigorous research examining SDoH in dysmenorrhea is needed to inform policy and clinical practice. PERSPECTIVE: This systematic review synthesizes evidence linking SDoH and dysmenorrhea. The relationships between SDoH and dysmenorrhea were often equivocal and complicated by heterogeneous study populations and methodologies. We identify directions for future research and SDoH factors that could be addressed clinically (eg, trauma, menstrual education, and occupational stress).

Subgroups of pelvic pain are differentially associated with endometriosis and inflammatory comorbidities: a latent class analysis

ABSTRACT

Chronic pelvic pain is heterogeneous with potentially clinically informative subgroups. We aimed to identify subgroups of pelvic pain based on symptom patterns and investigate their associations with inflammatory and chronic pain-related comorbidities. Latent class analysis (LCA) identified subgroups of participants (n = 1255) from the Adolescence to Adulthood (A2A) cohort. Six participant characteristics were included in the LCA: severity, frequency, and impact on daily activities of both menstruation-associated (cyclic) and non-menstruation-associated (acyclic) pelvic pain. Three-step LCA quantified associations between LC subgroups, demographic and clinical variables, and 18 comorbidities (10 with prevalence ≥10%). Five subgroups were identified: none or minimal (23%), moderate cyclic only (28%), severe cyclic only (20%), moderate or severe acyclic plus moderate cyclic (9%), and severe acyclic plus severe cyclic (21%). Endometriosis prevalence within these 5 LCA-pelvic pain-defined subgroups ranged in size from 4% in "none or minimal pelvic pain" to 24%, 72%, 70%, and 94%, respectively, in the 4 pain subgroups, with statistically significant odds of membership only for the latter 3 subgroups. Migraines were associated with significant odds of membership in all 4 pelvic pain subgroups relative to those with no pelvic pain (adjusted odds ratios = 2.92-7.78), whereas back, joint, or leg pain each had significantly greater odds of membership in the latter 3 subgroups. Asthma or allergies had three times the odds of membership in the most severe pain group. Subgroups with elevated levels of cyclic or acyclic pain are associated with greater frequency of chronic overlapping pain conditions, suggesting an important role for central inflammatory and immunological mechanisms.

A Prospective Study of the Relationship of COVID-19 Vaccination to Menstrual Cycle Characteristics in Adolescent Girls

PURPOSE

The current study aimed to evaluate the impact of the COVID-19 booster vaccine on menstrual cycle characteristics in adolescent girls (aged 13-20) compared to those who did not receive a booster vaccine.

METHODS

This prospective study measured menstrual cycle length for three cycles prior to and four cycles after vaccination (booster group), seven cycles without vaccination (control group). Menstrual flow, menstrual pain, and menstrual symptoms were assessed at baseline and monthly for 3 months. Stress was assessed at baseline using the PROMIS Pediatric Psychological Stress Experiences scale. Generalized linear mixed effects models were used to examine the changes in menstrual characteristics.

RESULTS

65 adolescent girls (47 booster; 18 control) were recruited via social media and from ongoing studies in the United States. Girls in the booster group experienced shorter postbooster cycles by an average 5.35 days (p = .03) compared to prebooster cycle lengths, specifically in the second postbooster cycle, while the control group did not show any changes in cycle length pre-to postbooster. Participants who received the booster in the follicular phase had shorter mean postbooster cycle length (p = .0157) compared to their prebooster cycle length. Higher stress was associated with shorter cycles (p = .03) and increased menstrual symptoms (p = <.001), regardless of group. There were no differences in menstrual flow, menstrual pain, or menstrual symptoms in either group.

DISCUSSION

The COVID-19 booster vaccine was associated with shorter cycles in adolescent girls. These data demonstrate the need for further investigation regarding potential mechanisms of these observed changes.

Development and initial validation of the menstrual sensitivity index

OBJECTIVE

The present study sought to develop and perform the initial validation of a scale assessing sensitivity to menstrual pain and symptoms.

METHODS

Data were taken from a larger parent study in which participants were recruited from a nationwide sample of individuals via the UniVox platform (www.univoxcommunity.com). In that study, participants were stratified by age and self-reported menstrual pain. Participants in the parent study completed 2 online surveys, one at baseline and one at a 3-month follow up. Participants who provided complete responses to the potential scale items, as well as a variety of validated questionnaires, were included in the present analyses. Final item selection was determined by factor analyses, and measures of validity and reliability were examined.

RESULTS

Factor analyses support an 8-item scale assessing menstrual sensitivity. This scale, the Menstrual Sensitivity Index, demonstrates excellent internal consistency, good item-total correlations, and good total score test-retest reliability. Convergent validity emerged for menstrual- and pain-specific measures, and divergent validity emerged for anxiety sensitivity, anxiety, depression, nonmenstrual bodily pain, and premenstrual symptoms.

CONCLUSIONS

Menstrual sensitivity is a unique construct that reflects women's attunement to and fear of menstrual symptoms, and the Menstrual Sensitivity Index is a valid and reliable measure of this construct. This scale could be useful in advancing research and clinical work targeting menstrual pain.

Correlations among Core Outcomes in Menopause-recommended vasomotor symptom outcomes in MsFLASH trials

OBJECTIVE

This study aimed to advance understanding of vasomotor symptom (VMS) outcomes measurement using pooled data from three Menopause Strategies Finding Lasting Answers to Symptoms and Health (MsFLASH) trials.

METHODS

Participants self-reported VMS frequency, severity, and bother using daily diaries; completed standardized measures of VMS interference, insomnia severity, and sleep quality/disturbance; and completed four treatment satisfaction items. Analyses included descriptive statistics, Pearson correlations (baseline pooled sample, posttreatment pooled sample, posttreatment placebo only), t tests, and analysis of variance.

RESULTS

Participants were mostly postmenopausal (82.9%) and a mean of 54.5 years old. VMS frequency was fairly correlated with severity, bother, and interference for pooled baseline and placebo posttreatment samples ( r values = 0.21-0.39, P values < 0.001) and moderately correlated with severity, bother, and interference for pooled posttreatment ( r values = 0.40-0.44, P values < 0.001). VMS severity, bother, and interference were moderately correlated ( r values = 0.37-0.48, P values < 0.001), with one exception. VMS severity and bother were strongly correlated ( r values = 0.90-0.92, P values < 0.001). VMS interference was moderately correlated with insomnia ( r values = 0.45-0.54, P values < 0.001) and fairly to moderately correlated with sleep quality/disturbance ( r values = 0.31-0.44, P values < 0.001). Other VMS outcomes were weakly to fairly correlated with insomnia ( r values = 0.07-0.33, P values < 0.001 to < 0.05) and sleep quality/disturbance ( r values = 0.06-0.26, P values < 0.001 to > 0.05). Greater improvement in VMS and sleep over time was associated with higher treatment satisfaction ( P values < 0.001).

CONCLUSIONS

This pooled analysis advances understanding of VMS outcomes measurement and has implications for selecting measures and creating future research.

Gastrointestinal functioning and menstrual cycle phase in emerging young adult women: a cross-sectional study

BACKGROUND

Women experience more severe gastrointestinal (GI) symptoms compared to men. The onset of puberty and the menstrual cycle may influence these differences. Additionally, health anxiety is an important construct that has been shown to play a role in increased symptomatology across many medical conditions. Using standardized clinical measures often employed to assess disorders of gut-brain interaction (DGBI) we aimed to identify differences of GI functioning across menstrual cycle phases and to evaluate the role of health anxiety in this relationship.

METHODS

Six hundred three participants completed a survey including functional GI assessment scales (PROMIS-GI®), an abdominal pain scale and map, and a health anxiety measure. They were grouped by menstrual cycle phases (Menses, Follicular, Early-Luteal, and Premenstrual) based on self-reported start date of most recent period. Multivariate analyses of covariance were conducted to identify differences between menstrual cycle phase and scores on the symptom scales. Heath anxiety was included as a covariate in all analyses.

RESULTS

No significant differences were found between menstrual cycle group and PROMIS-GI scores. Higher GI-symptom and pain levels were found as health anxiety increased. Pain in the hypogastric region of the abdomen was significantly higher during the Menses phase when compared to Early-Luteal and Premenstrual phases. A subset of participants with DGBI diagnoses demonstrated significantly higher GI-symptom severity on several PROMIS-GI scales when compared to matched controls who did not have those diagnoses. In addition, participants with DGBI diagnoses reported significantly greater pain across multiple abdominal regions than their non-diagnosed counterparts.

CONCLUSIONS

GI symptom levels as measured by the PROMIS-GI scales in otherwise healthy women were not dependent on menstrual cycle phase. Yet, the PROMIS-GI scales were sensitive to symptom differences in women with DGBI diagnoses. Overall, this study demonstrated that the PROMIS-GI measures are unlikely to be affected by gynecological functioning in healthy young women. We argue that the abdominal pain map is an essential addition to classification and diagnosis.

Efficacy of psychological interventions for dysmenorrhea: a meta-analysis

Dysmenorrhea is pelvic pain associated with menstruation and is one of the most common pain conditions among reproductive-age women. It is commonly treated with medications, complementary and alternative medicine, and self-management techniques. However, there is increased focus on psychological interventions which modify thoughts, beliefs, emotions, and behavioral responses to dysmenorrhea. This review examined the efficacy of psychological interventions on dysmenorrhea pain severity and interference. We conducted a systematic search of the literature using PsycINFO, PubMed, CINHAL, and Embase. A total of 22 studies were included; 21 examined within-group improvement (ie, within-group analysis) and 14 examined between-group improvement (ie, between-group analysis). Random-effects meta-analyses were conducted on pain severity and interference, with average effect sizes calculated using Hedges's g. Within-group analyses showed decreased pain severity and interference at post-treatment (g = 0.986 and 0.949, respectively) and first follow-up (g = 1.239 and 0.842, respectively). Between-group analyses showed decreased pain severity at post-treatment (g = 0.909) and decreased pain severity and interference at first follow-up (g = 0.964 and 0.884, respectively) compared to control groups. This review supports the efficacy of psychological interventions for dysmenorrhea, but conclusions are tempered by suboptimal methodological quality of the included studies and high heterogeneity across studies. Additional, rigorous research is needed to determine the clinical utility of psychological interventions for dysmenorrhea.

Generalized sensory sensitivity is associated with comorbid pain symptoms: a replication study in women with dysmenorrhea

ABSTRACT

Dysmenorrhea is characterized by high rates of transition to chronic pain. In a previous study using structural equation modeling, we demonstrated that several symptom domains associated with the emerging concept of nociplastic pain can be described using 2 symptom groups: generalized sensory sensitivity (GSS; composed of widespread pain, interceptive sensitivity, and environmental sensitivity) and SPACE (composed of unrefreshing sleep, pain, affective disturbances, cognitive issues, and reduced energy). Here, we perform a secondary cross-sectional analysis examining the same symptoms groups in a cohort of patients with dysmenorrhea without a diagnosis of chronic pain. Our purpose is to determine if the same symptom patterns are apparent and if they are associated with the presence and severity of comorbid pain. Participants were 201 women with dysmenorrhea. We replicated the hypothesized 2-factor structure in this cohort (comparative fit index = 0.971 and root mean square error of approximation =0.055; 90% CI: 0.000-0.097). Generalized sensory sensitivity was associated with the severity of bladder, bowel, and overall pain in multivariable models including SPACE, patient age, and BMI (all β > 0.32, all P < 0.05). Sleep, pain, affective disturbances, cognitive issues, and reduced energy were associated with menstrual pain during nonsteroidal anti-inflammatory drug use, whereas GSS was associated with the same in the absence of nonsteroidal anti-inflammatory drug use (both P < 0.05). This 2-factor model of symptoms seems to be replicable and valid in a cohort of women at risk for developing chronic pain conditions. These symptom groups are promising potential markers of future pain chronification and may point to patients in need of earlier or more aggressive intervention.

COVID-Related Distress Is Associated with Increased Menstrual Pain and Symptoms in Adult Women

The COVID-19 pandemic resulted in heightened stress for many individuals, with women reporting more stress than men. Although a large body of evidence has demonstrated that stress, in general, can impact the menstrual cycle, it is not yet clear if COVID-specific stress would impact women's menstrual health. The current study explored the relationship between COVID-related stress and distress and menstrual variables (menstrual pain, number and severity of menstrual symptoms, and menstrual pain interference) in a sample of reproductive-age adult women. Seven-hundred fifteen women completed the initial survey and were re-contacted to complete the same survey three months later. Of those recontacted, 223 completed the follow-up survey. Results indicated that COVID-related stress and distress was associated with higher levels of menstrual pain, more frequent and more severe menstrual symptoms, and greater menstrual pain interference, even after accounting for age, hormonal use, bodily pain, and pain catastrophizing. Our findings suggest that women experience unique vulnerabilities that directly impact their health and functioning, and both research and clinical care should address these symptoms through careful assessment and treatment of menstrual pain and symptoms, particularly during and after periods of high stress and distress.

A Computational Framework to Analyze the Associations Between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data

Patients with cancer, such as breast and colorectal cancer, often experience different symptoms post-chemotherapy. The symptoms could be fatigue, gastrointestinal (nausea, vomiting, lack of appetite), psychoneurological symptoms (depressive symptoms, anxiety), or other types. Previous research focused on understanding the symptoms using survey data. In this research, we propose to utilize the data within the Electronic Health Record (EHR). A computational framework is developed to use a natural language processing (NLP) pipeline to extract the clinician-documented symptoms from clinical notes. Then, a patient clustering method is based on the symptom severity levels to group the patient in clusters. The association rule mining is used to analyze the associations between symptoms and patient attributes (smoking history, number of comorbidities, diabetes status, age at diagnosis) in the patient clusters. The results show that the various symptom types and severity levels have different associations between breast and colorectal cancers and different timeframes post-chemotherapy. The results also show that patients with breast or colorectal cancers, who smoke and have severe fatigue, likely have severe gastrointestinal symptoms six months after the chemotherapy. Our framework can be generalized to analyze symptoms or symptom clusters of other chronic diseases where symptom management is critical.

Perceived Ineffectiveness of Pharmacological Treatments for Dysmenorrhea

Background: Dysmenorrhea affects most reproductive-aged women. Common dysmenorrhea treatments vary in their effectiveness across individuals. Little is known about factors associated with perceived treatment ineffectiveness. The objectives of this study were to describe the perceived ineffectiveness of common pharmacological treatments for dysmenorrhea and investigate factors associated with perceived treatment ineffectiveness. Materials and Methods: In this cross-sectional study, 678 women with dysmenorrhea (aged 14-42) provided data on perceived treatment ineffectiveness, dysmenorrhea symptom-based phenotypes, demographics, clinical factors, and psychobehavioral characteristics. We used Fisher's exact tests to compare treatment ineffectiveness across three symptom-based phenotypes. We used logistic regressions to explore associations of phenotype, demographic, clinical, and psychobehavioral correlates of perceived treatment ineffectiveness. Results: Percentages perceiving treatments as ineffective were 29.3%-35.6% nonsteroidal anti-inflammatory drugs, 49.9% acetaminophen, and 39.3% combined oral contraceptive pills (OCPs). Factors associated with perceived ineffectiveness varied across treatments and included symptom-based phenotypes, clinical, and psychobehavioral factors. For ibuprofen and acetaminophen, women with severe (vs. mild) pain phenotype and higher number of chronic pain conditions were more likely to perceive the treatments as ineffective. For OCPs, women with severe pain (vs. mild) phenotype, comorbid gynecological condition, less anxiety, and worse depressive symptoms were more likely to perceive the treatment as ineffective. Conclusion: A significant percentage of women reported ineffectiveness of dysmenorrhea treatments. Phenotypes, clinical, and psychobehavioral factors were associated with treatment ineffectiveness. Future research should test if symptom-based phenotypes are associated with treatment effectiveness in clinical trials and investigate other factors that affect dysmenorrhea treatment effectiveness, so treatments can be tailored to individuals.

Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data

This research extracted patient-reported symptoms from free-text EHR notes of colorectal and breast cancer patients and studied the correlation of the symptoms with comorbid type 2 diabetes, race, and smoking status. An NLP framework was developed first to use UMLS MetaMap to extract all symptom terms from the 366,398 EHR clinical notes of 1694 colorectal cancer (CRC) patients and 3458 breast cancer (BC) patients. Semantic analysis and clustering algorithms were then developed to categorize all the relevant symptoms into eight symptom clusters defined by seed terms. After all the relevant symptoms were extracted from the EHR clinical notes, the frequency of the symptoms reported from colorectal cancer (CRC) and breast cancer (BC) patients over three time-periods post-chemotherapy was calculated. Logistic regression (LR) was performed with each symptom cluster as the response variable while controlling for diabetes, race, and smoking status. The results show that the CRC and BC patients with Type 2 Diabetes (T2D) were more likely to report symptoms than CRC and BC without T2D over three time-periods in the cancer trajectory. We also found that current smokers were more likely to report anxiety (CRC, BC), neuropathic symptoms (CRC, BC), anxiety (BC), and depression (BC) than non-smokers.

Comparing dysmenorrhea beliefs and self-management techniques across symptom-based phenotypes

OBJECTIVES

To compare beliefs about dysmenorrhea and self-management techniques across three dysmenorrhea symptom-based phenotypes.

BACKGROUND

Many reproductive-age women experience dysmenorrhea, with varying symptoms and intensity. Dysmenorrhea symptom-based phenotypes have been identified in previous research, defining distinctive phenotypes of mild localised pain, severe localised pain, and multiple severe symptoms. It is unknown if women from different phenotypes hold different beliefs about dysmenorrhea or if they engage in different self-management techniques.

DESIGN

Quantitative secondary analysis of cross-sectional survey data.

METHODS

This online study surveyed 762 women with dysmenorrhea in the United States. Participants reported their dysmenorrhea symptom intensity, beliefs about dysmenorrhea (i.e. beliefs about consequences, timeline, controllability, symptom severity, normalcy, emotional response to symptoms and treatments) and self-management techniques to prevent or treat symptoms. Beliefs regarding dysmenorrhea and types of self-management techniques used were compared across three phenotypes utilising ANOVA tests and Tukey's HSD for pairwise comparisons. Reporting followed the STROBE guidelines.

RESULTS

Women with multiple severe symptoms had significantly more negative beliefs regarding dysmenorrhea and utilised significantly more self-management techniques than women with severe localised pain and women with mild localised pain. Women with severe localised pain had significantly more negative beliefs regarding dysmenorrhea and utilised significantly more self-management techniques than women with mild localised pain. Negative beliefs regarding dysmenorrhea included: consequences of dysmenorrhea, timeline of symptoms, personal and treatment control, symptom severity, normalcy of symptoms, emotional response to symptoms and willingness to utilise complementary medicine.

CONCLUSION

Results further support the distinction between dysmenorrhea symptom-based phenotypes. Not only do women in different phenotypes experience different severity and number of dysmenorrhea symptoms, they also perceive and manage their dysmenorrhea differently.

RELEVANCE TO CLINICAL PRACTICE

These findings have implications for tailoring interventions to different dysmenorrhea symptom-based phenotypes.

Associations Between Dysmenorrhea Symptom-Based Phenotypes and Vaginal Microbiome: A Pilot Study

BACKGROUND

Dysmenorrhea is highly prevalent; it places women at risk for other chronic pain conditions. There is a high degree of individual variability in menstrual pain severity, the number of painful sites, and co-occurring gastrointestinal symptoms. Distinct dysmenorrhea symptom-based phenotypes were previously identified, but the biological underpinnings of these phenotypes are less known. One underexplored contributor is the vaginal microbiome. The vaginal microbiota differs significantly among reproductive-age women and may modulate as well as amplify reproductive tract inflammation, which may contribute to dysmenorrhea symptoms.

OBJECTIVES

The objective of this study was to examine associations between dysmenorrhea symptom-based phenotypes and vaginal microbiome compositions on- and off-menses.

METHODS

We conducted a prospective, longitudinal, pilot study of 20 women (aged 15-24 years) grouped into three dysmenorrhea symptom-based phenotypes: "mild localized pain," "severe localized pain," and "severe multiple pain and gastrointestinal symptoms." Over one menstrual cycle, participants provided vaginal swabs when they were on- and off-menses. We assayed the vaginal microbiome using 16S rRNA gene sequencing. Permutational multivariate analysis of variance tests were used to compare microbiome compositions across phenotypes, with heat maps generated to visualize the relative abundance of bacterial taxa.

RESULTS

The vaginal microbiome compositions (n = 40) were different across the three phenotypes. After separating the on-menses (n = 20) and off-menses (n = 20) specimens, the statistically significant difference was seen on-menses, but not off-menses. Compared to the "mild localized pain" phenotype, participants in the "multiple severe symptoms" phenotype had a lower lactobacilli level and a higher abundance of Prevotella, Atopobium, and Gardnerella when on-menses. We also observed trends of differences across phenotypes in vaginal microbiome change from off- to on-menses.

DISCUSSION

The study provides proof-of-concept data to support larger studies on associations between dysmenorrhea symptom-based phenotypes and vaginal microbiome that might lead to new intervention targets and/or biomarkers for dysmenorrhea. This line of research has the potential to inform precision dysmenorrhea treatment that can improve women's quality of life.

Dysmenorrhea Symptom-Based Phenotypes: A Replication and Extension Study

BACKGROUND

Dysmenorrhea is a prevalent pain condition among women and a risk factor for other chronic pain conditions. Individuals vary in dysmenorrhea pain severity, the number of painful sites, and co-occurring gastrointestinal symptoms. Three dysmenorrhea symptom-based phenotypes were previously identified using latent class analysis; however, there is a need to validate these in an independent sample, so they can be used in mechanistic and interventional research. There is also a need to further characterize dysmenorrhea symptom-based phenotypes in terms of demographic, clinical, and psychobehavioral characteristics so they can be used to inform precision dysmenorrhea treatment.

OBJECTIVES

The study objectives were to (a) determine whether the same dysmenorrhea symptom-based phenotypes would be found in a new sample; (b) determine whether including demographic, clinical, and psychobehavioral covariates in latent class analyses would change individuals' phenotype memberships; and (c) investigate relationships between dysmenorrhea symptom-based phenotypes and demographic, clinical, and psychobehavioral characteristics.

METHODS

This cross-sectional survey study included 678 women (aged 14-42 years) with dysmenorrhea. Participants reported dysmenorrhea symptom severity, demographic, clinical (comorbid chronic pain and gynecological conditions), and psychobehavioral characteristics (perceived stress, anxiety, depression, sleep disturbance, and pain catastrophizing). We used latent class analysis to identify symptom-based phenotypes. We compared analyses with and without covariates (i.e., demographic, clinical, and psychobehavioral characteristics) to determine if individuals' phenotype memberships changed. We then examined associations between phenotypes and demographic, clinical, and psychobehavioral characteristics.

RESULTS

We reproduced three dysmenorrhea symptom-based phenotypes: the "mild localized pain" phenotype (characterized by mild abdominal cramps), the "severe localized pain" phenotype (characterized by severe abdominal cramps), and the "multiple severe symptoms" phenotype (characterized by severe pain at multiple locations and gastrointestinal symptoms). Analyses with and without covariates had little effect on individuals' phenotype membership. Race, comorbid chronic pain condition, endometriosis, and pain catastrophizing were significantly associated with the dysmenorrhea phenotypes.

DISCUSSION

Findings provide a foundation to further study mechanisms of dysmenorrhea symptom heterogeneity and develop dysmenorrhea precision treatments. The three dysmenorrhea symptom-based phenotypes were validated in a second sample. Demographic, clinical, and psychobehavioral factors were associated with dysmenorrhea symptom-based phenotypes.

Estimulação elétrica nervosa transcutânea e crioterapia no tratamento de estudantes com dismenorreia primária: estudo piloto

Objetivo: Comparar os efeitos da Estimulação Elétrica Nervosa Transcutânea (TENS) e da crioterapia no alívio da sintomatologia dolorosa de estudantes com dismenorreia primária (DP). Métodos: Estudo transversal e quantitativo, com 20 mulheres universitárias aleatoriamente divididas em dois grupos: Grupo TENS (GT) cujas participantes foram submetidas a uma sessão de 45 min de TENS com frequência de 120 Hz e duração de pulso de 100 µs e Grupo Crioterapia (GC) cujas participantes foram submetidas a sessão de crioterapia por 20 min. Foram incluídas mulheres com ciclos menstruais regulares, nuligestas, sem relato de doença pélvica e com dismenorreia com nível de dor entre 4 e 10 durante os três primeiros dias de menstruação. Foram excluídas aquelas com contraindicação ao uso da TENS e crioterapia ou que fizeram uso de medicamentos até 24 h antes da intervenção. Foi registrado o nível de dor das participantes antes e logo depois da intervenção. Resultados: Foram avaliadas mulheres com idade variando entre 18 e 27 anos (média 22,8 ± 2,4 anos). Todas apresentaram além dos sintomas dolorosos algum outro sintoma associado, sendo os mais comuns diarreia e fadiga (80%, cada). O teste ANOVA two-way de medidas repetidas considerando como fatores grupo e avaliação, revelou efeito apenas para o fator avaliação (p < 0,001), não apresentando efeito para a interação grupo/avaliação (p = 0,09). Conclusão: TENS e crioterapia são recursos eficientes para o alívio dos sintomas álgicos de mulheres com DP, não havendo superioridade entre as abordagens.

Phenotypes of Women with and Without Endometriosis and Relationship with Functional Pain Disability

Objective

Primary dysmenorrhea and secondary dysmenorrhea due to endometriosis share overlapping symptoms and likely demonstrate aspects of central sensitization. The present study aimed to identify distinct phenotypes of women who have dysmenorrhea with and without endometriosis to shed light on the unique mechanisms contributing to the pathogenesis of each condition.

Methods

An online survey was used to investigate the relationship between ratings of menstrual pain severity, menstrual symptoms (abdominal cramps, abdominal discomfort, low back pain, headache, body aches, bloating, nausea, diarrhea, increased bowel movements), widespread pain, and functional pain disability in a community sample of 1,354 women (aged 18–50) with menstrual pain in Australia.

Results

Compared with women without endometriosis, those with endometriosis had statistically significant higher menstrual pain severity (P&lt;0.01), symptom severity and fatigue (all symptoms P&lt;0.001, although only cramps and bloating were clinically significant), widespread pain sites (P&lt;0.001), and functional pain disability (P&lt;0.001, although this difference was not clinically significant). When examining symptoms by pain severity, women with severe menstrual pain were more likely to experience symptoms than women with less severe pain, regardless of the presence of endometriosis. Similar predictors of functional pain disability emerged for women with and without endometriosis, such as body aches, nausea, fatigue, and widespread pain, respectively, suggesting the presence of central sensitization in both groups. Logistic regression revealed that after accounting for menstrual pain severity (odds ratio [OR], 1.61) and duration (OR, 1.04), symptoms of bloating (OR, 1.12), nausea (OR, 1.07), and widespread pain sites (OR, 1.06) significantly predicted the presence of endometriosis.

Conclusions

The findings suggest that phenotypes specific to endometriosis can be identified.

Symptom-based latent classes of persons with irritable bowel syndrome

A large amount of interindividual variability exists in symptom experiences of persons with irritable bowel syndrome (IBS). Thus, consideration of multiple symptoms to identify distinct symptom subgroups may be useful in directing personalized health strategies for symptom management. We aimed to identify latent classes (i.e., subgroups) of persons with IBS who share similar patterns of symptoms using symptom-related variables (six groups of daily diary symptoms, cognitive beliefs about IBS, and IBS quality of life [QOL]); and to examine how subgroups differed in patient characteristics. Data were derived from a baseline assessment of men and women enrolled in two cognitively-focused intervention trials (N = 332). Using latent class analysis, four latent classes were identified: Class 1 (low symptoms and good QOL, n = 153), Class 2 (low symptoms and moderate QOL, n = 106), Class 3 (high symptoms with diarrhea and poor QOL, n = 38), and Class 4 (high symptoms with low diarrhea and moderate QOL, n = 35). Diarrhea, being female, less formal education, unemployment, and previous history of major depressive disorder were associated with membership in Class 3. Using these distinct symptom profiles, the next step is to explore underlying mechanisms accounting for symptom burden with the goal of designing tailored interventions to reduce that burden.

Experimental evaluation of central pain processes in young women with primary dysmenorrhea

Primary dysmenorrhea (PD; menstrual pain without an underlying medical condition) is associated with enhanced pain sensitivity and temporal summation (TS) in adult women, which may reflect the presence of central pain processes. Research in this area has been limited by focusing on only adult populations and incomplete assessments of central sensitization. The current study explored both excitatory and inhibitory measures of pain processing in girls and young adult women with and without PD. Thirty-two young women with PD and 34 healthy controls underwent laboratory pain testing during each of 3 menstrual cycle phases (menstrual, ovulatory, and midluteal), which included measures of pain tolerance and threshold, TS, and conditioned pain modulation. Results indicated enhanced pain sensitivity in young women with PD as measured by heat pain tolerance and Average Pain50 (P50), compared with healthy controls. These group differences were evident at all phases of the menstrual cycle. No group differences in cold pain tolerance, TS, or conditioned pain modulation were evident at any phase of the menstrual cycle. These data suggest some evidence of central sensitization in young women with PD, although no evidence of enhanced excitatory or deficient inhibitory mechanisms were observed. Future research should focus on identifying other potential phenotypes for PD to determine those at risk of developing other pain problems.

Somatic symptoms in women with dysmenorrhea and noncyclic pelvic pain

Somatic symptoms are a robust, transdiagnostic risk factor for pain conditions. However, the extent to which somatic symptoms contribute to the manifestation of the women's pain syndromes, such as dysmenorrhea and noncyclic pelvic pain (NCPP), is unclear due to high rates of co-occurrence. Therefore, the present study investigated the primary hypothesis that somatic symptoms would be elevated in NCPP and distinctly influence the relationship between dysmenorrhea and co-occurring NCPP. A secondary analysis was performed on cross-sectional questionnaire data from 1012 nonpregnant reproductive-aged women. Eligible analyzed participants (n = 834) were categorized into four groups: healthy, dysmenorrhea, NCPP, and NCPP with co-occurring dysmenorrhea (NCPP+dysmenorrhea). A parallel mediation analysis was run to evaluate the primary hypothesis that somatic symptoms are the primary factor associated with increased NCPP accounting for dysmenorrhea. The NCPP+dysmenorrhea group had higher somatic, anxiety, and depression symptom T-scores (respectively 61, 61, 60) compared to the healthy controls (46, 51, 51; p's < .001) and the dysmenorrhea group (50, 53, 54; p's < .001). The pain and psychological symptoms were significantly correlated across the entire sample (r's = .29, - .64, p's < .01). Results from parallel mediation analysis showed that somatic symptoms were distinctly associated with NCPP+dysmenorrhea. Women with NCPP+dysmenorrhea have increased psychological and somatic symptoms compared to women with dysmenorrhea alone. Given that NCPP often co-occurs with dysmenorrhea, failure to account for comorbidity in previous studies has likely led to an overestimation of psychological symptoms in dysmenorrhea. Future studies should evaluate whether somatic sensitivity is a modifiable risk factor for NCPP.