Browsing by Subject "Dysmenorrhea"
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Item Associations Between Dysmenorrhea Symptom-Based Phenotypes and Vaginal Microbiome: A Pilot Study(Wolters Kluwer, 2021) Chen, Chen X.; Carpenter, Janet S.; Gao, Xiang; Toh, Evelyn; Dong, Qunfeng; Nelson, David E.; Mitchell, Caroline; Fortenberry, J. DennisBACKGROUND: 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.Item Big Data and Dysmenorrhea: What Questions Do Women and Men Ask About Menstrual Pain?(Mary Ann Liebert, 2018-10) Chen, Chen X.; Groves, Doyle; Miller, Wendy R.; Carpenter, Janet S.; School of NursingBACKGROUND: Menstrual pain is highly prevalent among women of reproductive age. As the general public increasingly obtains health information online, Big Data from online platforms provide novel sources to understand the public's perspectives and information needs about menstrual pain. The study's purpose was to describe salient queries about dysmenorrhea using Big Data from a question and answer platform. MATERIALS AND METHODS: We performed text-mining of 1.9 billion queries from ChaCha, a United States-based question and answer platform. Dysmenorrhea-related queries were identified by using keyword searching. Each relevant query was split into token words (i.e., meaningful words or phrases) and stop words (i.e., not meaningful functional words). Word Adjacency Graph (WAG) modeling was used to detect clusters of queries and visualize the range of dysmenorrhea-related topics. We constructed two WAG models respectively from queries by women of reproductive age and bymen. Salient themes were identified through inspecting clusters of WAG models. RESULTS: We identified two subsets of queries: Subset 1 contained 507,327 queries from women aged 13-50 years. Subset 2 contained 113,888 queries from men aged 13 or above. WAG modeling revealed topic clusters for each subset. Between female and male subsets, topic clusters overlapped on dysmenorrhea symptoms and management. Among female queries, there were distinctive topics on approaching menstrual pain at school and menstrual pain-related conditions; while among male queries, there was a distinctive cluster of queries on menstrual pain from male's perspectives. CONCLUSIONS: Big Data mining of the ChaCha® question and answer service revealed a series of information needs among women and men on menstrual pain. Findings may be useful in structuring the content and informing the delivery platform for educational interventions.Item Comparing Dysmenorrhea Beliefs and Self-Management Techniques Across Symptom-Based Phenotypes(Wiley, 2021) Rogers, Sarah K.; Rand, Kevin L.; Chen, Chen X.; Psychology, School of ScienceObjectives: 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.Item Efficacy of Oral Ginger (Zingiber officinale) for Dysmenorrhea: A Systematic Review and Meta-Analysis(Hindawi, 2016-05-05) Chen, Chen X.; Barrett, Bruce; Kwekkeboom, Kristine L.; IU School of NursingThis systematic review examines the efficacy of oral ginger for dysmenorrhea. Key biomedical databases and grey literature were searched. We included randomized controlled trials comparing oral ginger against placebo or active treatment in women with dysmenorrhea. Six trials were identified. Two authors independently reviewed the articles, extracted data, and assessed risk of bias. Discrepancies were resolved by consensus with a third reviewer. We completed a narrative synthesis of all six studies and exploratory meta-analyses of three studies comparing ginger with placebo and two studies comparing ginger with a nonsteroidal anti-inflammatory drug (NSAID). Ginger appeared more effective for reducing pain severity than placebo. The weighted mean difference on a 10 cm visual analogue scale was 1.55 cm (favoring ginger) (95% CI 0.68 to 2.43). No significant difference was found between ginger and mefenamic acid (an NSAID). The standardized mean difference was 0 (95% CI −0.40 to 0.41). Available data suggest that oral ginger could be an effective treatment for menstrual pain in dysmenorrhea. Findings, however, need to be interpreted with caution because of the small number of studies, poor methodological quality of the studies, and high heterogeneity across trials. The review highlights the need for future trials with high methodological quality.Item Symptoms-Based Phenotypes Among Women With Dysmenorrhea: A Latent Class Analysis(SAGE, 2018-10) Chen, Chen X.; Ofner, Susan; Bakoyannis, Giorgos; Kwekkeboom, Kristine L.; Carpenter, Janet S.; Biostatistics, School of Public HealthDysmenorrhea is highly prevalent and may increase women’s risk for developing other chronic pain conditions. Although it is highly variable, symptom-based dysmenorrhea phenotypes have not been identified. The study aims were to identify symptom-based dysmenorrhea phenotypes and examine their relationships with demographic and clinical characteristics. In a cross-sectional study, 762 women with dysmenorrhea rated severity of 14 dysmenorrhea-related symptoms. Using latent class analysis, we identified three distinctive phenotypes. Women in the “mild localized pain” phenotype (n=202, 26.51%) had mild abdominal cramps and dull abdominal pain/discomfort. Women in the “severe localized pain” phenotype (n=412 54.07%) had severe abdominal cramps. Women in the “multiple severe symptoms” phenotype (n=148, 19.42%) had severe pain at multiple locations and multiple gastrointestinal symptoms. Race, ethnicity, age, and comorbid chronic pain conditions were significantly associated with phenotypes. Identification of these symptom-based phenotypes provides a foundation for research examining genotype-phenotype associations, etiologic mechanisms, and/or variability in treatment responses.Item The effect of dysmenorrhea severity and interference on reactions to experimentally-induced pain(Frontiers Media, 2024-07-23) Rogers, S. K.; Nichols, K. L.; Ahamadeen, N.; Shanahan, M. L.; Rand, K. L.; Psychology, School of ScienceIntroduction: Dysmenorrhea is associated with increased risk of chronic pain and hyperalgesia. Menstruating individuals with dysmenorrhea are more likely to have elevated pain reactivity when experiencing experimental pain, than those without. However, no study has examined intragroup differences in reactions to experimentally induced pain for individuals with dysmenorrhea. The main aim of this study was to examine the relative roles of dysmenorrhea severity and interference in the experience of experimentally-induced pain. Methods: Participants were 120 menstruating individuals involved in a larger research study examining the influence of expectations on experimentally-induced pain. As part of the study, participants completed an online questionnaire regarding demographic and menstrual information and participated in a cold pressor task. Participants were randomized into four groups based on the manipulation of two independent variables: (1) high vs. low expectations about pain severity (pain-expectations); (2) and high vs. low expectations about one's pain tolerance (self-expectations). Participants verbally rated their pain severity throughout the cold pressor task using a 0-10 scale. Regression analyses were conducted examining the relationships between dysmenorrhea experience (i.e., average severity and interference) and cold pressor data [pain severity ratings and pain tolerance (i.e., total time in the cold pressor)], controlling for the manipulated expectations and age. Then, moderation analyses were conducted examining expectation group differences. Results: When controlling for manipulated expectations and age, dysmenorrhea severity significantly predicted initial pain severity rating (p = 0.022) but did not predict final pain severity rating (p = 0.263) or pain tolerance (p = 0.120). Dysmenorrhea interference did not predict initial pain severity rating (p = 0.106), final pain severity rating (p = 0.134), or pain tolerance (p = 0.360). A moderation analysis indicated that the relationship between dysmenorrhea severity and initial pain severity rating was not moderated by pain-expectations, χ 2(1) = 0.412, p = 0.521. Discussion: During an experimentally-induced pain task, dysmenorrhea severity but not interference predicted initial pain severity rating, such that higher levels of dysmenorrhea severity predicted greater initial pain severity rating. This suggests individuals with more severe dysmenorrhea pain may experience greater initial sensitivity to pain and be at risk for increased sensitivity to acute pain and potentially the development of chronic pain.Item What women say about their dysmenorrhea: a qualitative thematic analysis(BioMed Central, 2018-03-02) Chen, Chen X.; Draucker, Claire B.; Carpenter, Janet S.; School of NursingBackground Dysmenorrhea is highly prevalent and is the leading cause of absence from school and work among women of reproductive age. Evidence suggests that dysmenorrhea may also be a risk factor for other chronic pain conditions. Limited research has examined women’s experience with dysmenorrhea using qualitative data. Research is warranted to address issues and needs that are important from women’s own perspectives. Therefore, the purpose of this study was to describe women’s salient thoughts about their experiences of dysmenorrhea. Methods We analyzed data collected from an open-ended question within a cross-sectional survey study conducted in the United States. Using qualitative thematic analysis, free text responses to a question asking women to share their experience with dysmenorrhea were analyzed. Results The sample consisted of 225 women who provided valid responses to the open-ended question. Six themes were identified: (1) The dysmenorrhea symptom experience varied among women; (2) The dysmenorrhea symptom experience varied across time, (3) A variety of factors influenced the dysmenorrhea symptom experience, (4) Dysmenorrhea symptoms could have a negative impact on the women’s daily lives, (5) Dysmenorrhea was not seen as a legitimate health issue by the women, health care providers, or society, and (6) Treatment for women with dysmenorrhea varied in acceptability and effectiveness. Conclusions The findings of this study have important implications for dysmenorrhea symptom assessment and the development of personalized interventions to support dysmenorrhea management.