IU Indianapolis ScholarWorks :: Browsing by Author "Chen, Chen X."

Browsing by Author "Chen, Chen X."

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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. Dennis
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.
Beliefs About Dysmenorrhea and Their Relationship to Self-Management
(Wiley, 2016-05-13) Chen, Chen X.; Kwekkeboom, Kristine L.; Ward, Sandra E.; School of Nursing
Dysmenorrhea is highly prevalent and is the leading cause of work and school absences among women of reproductive age. However, self-management of dysmenorrhea is not well understood in the US, and little research has explored factors that influence dysmenorrhea self-management. Guided by the Common Sense Model, we examined women’s representations of dysmenorrhea (beliefs about causes, symptoms, consequences, timeline, controllability, coherence, and emotional responses), described their dysmenorrhea self-management behaviors, and investigated the relationship between representations and self-management behaviors. We conducted a cross-sectional, web-based survey of 762 adult women who had dysmenorrhea symptoms in the last six months. Participants described various causes of their dysmenorrhea symptoms which were perceived as a normal part of life. Dysmenorrhea symptoms were reported as moderately severe, with consequences that moderately affected daily life. Women believed they understood their symptoms moderately well, and perceived them as moderately controllable, but expected their timeline to continue through menopause. Most women did not seek professional care but rather used a variety of pharmacologic and complementary health approaches. Care seeking and use of self-management strategies were associated with common sense beliefs about dysmenorrhea cause, consequences, timeline, and controllability. The findings may inform development and testing of self-management interventions that address dysmenorrhea representations and facilitate evidence-based management.
Beliefs About Dysmenorrhea and Their Relationship to Self‐Management
(Wiley, 2016-08) Chen, Chen X.; Kwekkeboom, Kristine L.; Ward, Sandra E.; School of Nursing
Dysmenorrhea is highly prevalent and is the leading cause of work and school absences among women of reproductive age. However, self‐management of dysmenorrhea is not well understood in the US, and little evidence is available on factors that influence dysmenorrhea self‐management. Guided by the Common Sense Model, we examined women's representations of dysmenorrhea (beliefs about causes, symptoms, consequences, timeline, controllability, coherence, and emotional responses), described their dysmenorrhea self‐management behaviors, and investigated the relationship between representations and self‐management behaviors. We conducted a cross‐sectional, web‐based survey of 762 adult women who had dysmenorrhea symptoms in the last six months. Participants had varied beliefs about the causes of their dysmenorrhea symptoms, which were perceived as a normal part of life. Dysmenorrhea symptoms were reported as moderately severe, with consequences that moderately affected daily life. Women believed they understood their symptoms moderately well and perceived them as moderately controllable but them to continue through menopause. Most women did not seek professional care but rather used a variety of pharmacologic and complementary health approaches. Care‐seeking and use of self‐management strategies were associated with common sense beliefs about dysmenorrhea cause, consequences, timeline, and controllability. The findings may inform development and testing of self‐management interventions that address dysmenorrhea representations and facilitate evidence‐based management.
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 Nursing
BACKGROUND: 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.
Big Data and Dysmenorrhea: What Questions Do Women and Men Ask About Menstrual Pain?
(Liebert, 2018-10) Chen, Chen X.; Groves, Doyle; Miller, Wendy R.; Carpenter, Janet S.; School of Nursing
Background: 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.
Comparative Responsiveness of the PROMIS Pain Interference Short Forms with Legacy Pain Measures: Results from Three Randomized Clinical Trials
(Elsevier, 2019) Chen, Chen X.; Kroenke, Kurt; Stump, Timothy; Kean, Jacob; Krebs, Erin E.; Bair, Matthew J.; Damush, Teresa; Monahan, Patrick O.; School of Nursing
The PROMIS Pain Interference (PROMIS-PI) scales are reliable and publicly accessible; however, little is known about how responsive they are to detect change in clinical trials and how their responsiveness compares to legacy measures. The study purpose was to evaluate responsiveness for the PROMIS-PI scales and to compare their responsiveness with legacy pain measures. We used data from three clinical trials totaling 759 participants. The clinical trials included patients with chronic low back pain (n= 261), chronic back or osteoarthritis pain (n = 240), and a history of stroke (n= 258). At both baseline and follow-up, participants completed PROMIS-PI scales and legacy pain measures (Brief Pain Inventory Interference scale, Pain/Enjoyment/General Activity (PEG) scale, SF-36 Bodily Pain scale, and Roland-Morris Disability Questionnaire). We measured global ratings of pain change, both prospectively and retrospectively, as anchors to identify patients as improved, unchanged, or worsened. Responsiveness was assessed with standardized response means, statistical tests comparing change groups, and area-under-curve analysis. The PROMIS-PI scales had largely comparable responsiveness with the Brief Pain Inventory Interference scale and PEG. The four PROMIS-PI short forms had comparable responsiveness. For all pain questionnaires, responsiveness varied based on the study population and whether pain improved or worsened.
Development and Testing of the Dysmenorrhea Symptom Interference (DSI) Scale
(2020-07-17) Chen, Chen X.; Murphy, Tabitha; Ofner, Susan; Yahng, Lilian; Krombach, Peter; LaPradd, Michelle; Bakoyannis, Giorgos; Carpenter, Janet S.; School of Nursing
Dysmenorrhea affects most reproductive-age women and increases the risk of future pain. To evaluate dysmenorrhea interventions, validated outcome measures are needed. In this two-phase study, we developed and tested the dysmenorrhea symptom interference scale. During the scale-development phase (n = 30), we created a nine-item scale based on qualitative data from cognitive interviews. During the scale-testing phase (n = 686), we evaluated reliability, validity, and responsiveness to change. The scale measures how dysmenorrhea symptoms interfere with physical, mental, and social activities. Internal consistency was strong with Cronbach's α > 0.9. Test-retest reliability was acceptable (r = 0.8). The scale showed satisfactory content validity, construct validity (supported by confirmatory factor analysis), concurrent validity, and responsiveness to change. The minimally important difference was 0.3 points on a scale with a possible total score ranging from 1 to 5. This new psychometrically sound scale can be used in research and clinical practice to facilitate the measurement and management of dysmenorrhea.
Dysmenorrhea Symptom-Based Phenotypes: A Replication and Extension Study
(2020-09-16) Chen, Chen X.; Carpenter, Janet S.; Ofner, Susan; LaPradd, Michelle; Fortenberry, J. Dennis; School of Nursing
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 Nursing
This 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.
Engaging Adolescent and Young Adults in Microbiome Sample Self-Collection: Strategies for Success
(SAGE Journals, 2020) Chen, Chen X.; Carpenter, Janet S.; Murphy, Tabitha; Brooks, Patricia; Fortenberry, J. Dennis
Human microbiome research provides rich opportunities to elucidate factors influencing health, uncover novel biomarkers, and expand disease treatment options. A well-conducted microbiome study depends not only on a rigorous design but also on successfully engaging participants in collecting quality samples. In this paper, we aim to describe (1) strategies our team used to engage adolescents and young adults in vaginal and gut microbiome sample self-collection and (2) their effectiveness. In our prospective, longitudinal, feasibility study of 20 female adolescents and young adults, research participants self-collected vaginal and gut microbiome samples at home. Using a participatory and iterative process, we developed strategies to engage participants in sample self-collection, including (1) providing clear instructions to ensure comprehension and buy-in, (2) providing a user-friendly take-home package, (3) minimizing disgust/embarrassment associated with sample collection, and (4) follow-up communications to facilitate sample collections and return. With these strategies, we achieved 100% participant retention and 100% sample return rates. All samples (n = 80, 100%) were usable for downstream 16s rRNA gene sequencing and analysis. All participants rated the study procedures as acceptable, and qualitative data showed that strategies were well received by participants. This study suggests that carefully planning and implementing strategies to engage participants in sample self-collection can result in high degrees of participant compliance, sample quality, and participant satisfaction in microbiome research.

Browsing by Author "Chen, Chen X."

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