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).

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.

Dysmenorrhea and psychological distress: a meta-analysis.

Dysmenorrhea is characterized by pelvic pain associated with menstruation. Similar to people with other pain conditions, females who experience dysmenorrhea report increased psychological distress. However, the pooled magnitude of this association has not been quantified across studies. Accordingly, this meta-analytic review quantifies the magnitude of the associations between dysmenorrhea severity and psychological distress. We conducted a systematic search of the literature using PsycINFO, PubMed, CINHAL, Embase, and Web of Science. Analyzed studies provided observational data on dysmenorrhea severity and anxiety symptoms, depressive symptoms, and/or global psychological distress. A total of 44 studies were included, and three random-effects meta-analyses were conducted, with average pooled effect sizes calculated using Person's r. We found significant, positive associations between measures of dysmenorrhea severity and measures of depressive symptoms (r = 0.216), anxiety symptoms (r = 0.207), and global psychological distress (r = 0.311). Our review suggests that females with greater dysmenorrhea severity experience greater psychological distress. Future directions include defining a clinically meaningful dysmenorrhea severity threshold, understanding the mechanisms and directionality underlying the dysmenorrhea-psychological distress relationship, and designing and testing interventions to jointly address dysmenorrhea and psychological distress.

"Quick flutter skip": midlife women's descriptions of palpitations.

OBJECTIVE: The objective of this study is to describe peri- and postmenopausal women's experiences of palpitations (quality, frequency, severity, distress, duration and temporal pattern, aura, associated symptoms, and aggravating/alleviating factors) and related healthcare experiences. METHODS: Qualitative descriptive methods were used. Semistructured interviews were conducted with women who reported palpitations and were enrolled in a larger case-control pilot study comparing electrocardiographic results between women with and without palpitations. Authors analyzed women's narratives using standard content analytic procedures. RESULTS: Fourteen participants (mean age, 54.5 y [SD = 4.8 y]; range, 46-62 y; 79% postmenopausal) completed interviews. The interviews revealed that women (a) often had difficulty describing their palpitations until prompted by the interviewer; (b) experienced noteworthy variations in the quality and other dimensions of their palpitations; (c) had a wide variety of healthcare experiences related to their palpitations, including not reporting their symptoms to providers, having providers dismiss their symptoms, and having providers be aware of their symptoms and provide diagnostic tests; and (d) at times, created worst case scenarios (downward shifts) under which they would seek treatment for their palpitations, thus enabling them to minimize their symptoms and avoid healthcare. CONCLUSION: This study advances understanding of how women describe their palpitations and related healthcare experiences. Findings could have implications for building research and clinical tools to guide assessment, communication, and/or education for patients and/or providers about palpitations and for developing and testing behavioral interventions to address this poorly understood symptom in peri- and postmenopausal women.

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.

Pain and Associated Factors in Nursing Home Residents.

BACKGROUND: Understanding factors associated with risk of pain allows residents and clinicians to plan care and set priorities, however, factors associated with pain in nursing home residents has not been conclusively studied. AIM: To evaluate the association between pain and nursing home (NH) resident demographic and clinical characteristics. DESIGN: Retrospective analysis of Minimum Data Set 3.0 records of nursing home residents residing in 44 Indiana NHs between September 27, 2011 and December 27, 2019 (N = 9,060). RESULTS: Pain prevalence in this sample of NH residents was 23.7%. Of those with pain, 28.0% experienced moderate to severe/frequent pain and 54.6% experienced persistent pain. Risk factors for moderate to severe/frequent pain include female sex; living in a rural setting; intact, mildly, or moderately impaired cognition; arthritis; contracture; anxiety; and depression. In contrast, stroke and Alzheimer's disease and Alzheimer's-disease related dementias (AD/ADRD) were associated with decreased risk of reporting moderate to severe/frequent pain, likely representing both the under-assessment and under-reporting of pain among cognitively impaired NH residents. Risk factors for persistent pain included age <70, Black race, living in a rural location, intact cognition, contracture, and depression. CONCLUSIONS: Pain remains a pressing problem for NH residents. In this study, we identified demographic and clinical factors associated with moderate to severe frequent pain and persistent pain. Residents with a diagnosis of AD/ADRD were less likely to report pain, likely representing the difficulty of evaluating pain in these residents. It is important to note that those with cognitive impairment may not experience any less pain, but assessment and reporting difficulties may make them appear to have less pain. Knowledge of factors associated with pain for NH residents has the potential for improving the ability to predict, prevent, and provide better pain care in NH residents.

Pain trajectories of nursing home residents.

BACKGROUND: Understanding changes in nursing home (NH) resident pain over time would provide a more informed perspective, allowing opportunities to alter the course of illness, plan care, and set priorities. Therefore, the purpose of this analysis was to identify and characterize clinically meaningful, dynamic pain trajectories in NH residents. METHODS: Retrospective longitudinal analysis of NH resident pain scores with a length of stay >100 days (N = 4864). Group-based trajectory modeling was applied to Minimum Data Set 3.0 assessments to identify pain trajectories. Trajectories were then characterized using unadjusted and adjusted cross-sectional associations between residents' demographic and clinical characteristics and their pain trajectory. RESULTS: We identified four distinct trajectories: (1) consistent pain absence (48.9%), (2) decreasing-increasing pain presence (21.8%), (3) increasing-decreasing pain presence (15.3%), and (4) persistent pain presence (14.0%). Demographics of younger age and living in a rural area were associated with the persistent pain presence trajectory. Clinical variables of obesity and intact cognition were associated with being in the persistent pain presence trajectory. A smaller proportion of residents with moderately or severely impaired cognition were in any of the trajectory groups with pain. CONCLUSIONS: We identified and characterized four pain trajectories among NH residents, including persistent pain presence which was associated with demographic characteristics (younger, female, rural) and clinical factors (obese, fracture, contracture). Moreover, residents with a diagnosis of Alzheimer's disease or dementia were less likely to be in any of the three trajectories with pain, likely representing the difficulty in evaluating pain in these residents. It is important that NH staff understand, recognize, and respond to the factors associated with the identified pain trajectories to improve mitigation of potentially persistent pain (e.g., hip fracture, contracture) or improve proxy pain assessment skills for residents at risk for under reporting of pain (e.g., Alzheimer's Disease).

Prevalence and Factors Associated with Pain in Nursing Home Residents: A Systematic Review of the Literature.

OBJECTIVES: To describe the pain prevalence in nursing home (NH) residents and the factors associated with the experience of pain. DESIGN: Systematic review of descriptive studies. SETTING AND PARTICIPANTS: Three electronic databases were searched from 2010 to September 2020 in English. Descriptive studies that examined pain in NH residents, reported pain prevalence, and/or associated factors were included. Studies that focused exclusively on a specific disease or type of care such as cancer or hospice were excluded. METHODS: Two reviewers independently screened, selected, extracted data, and assessed risk of bias from included studies; narrative synthesis was performed. The review was guided by the Biopsychosocial Model of Chronic Pain for Older Adults. RESULTS: Twenty-six studies met our inclusion criteria. Overall, the prevalence of current pain ranged from 22.2% to 85.0%, the prevalence of persistent pain ranged from 19.5% to 58.5%, and the prevalence of chronic pain ranged from 55.9% to 58.1%. A variety of pain scales were used reporting higher pain prevalence for those using self-report measures (31.8% to 78.8%) or proxy measures (29.5% to 85.0%) compared with using chart review (22.2% to 29.3%) as the source of pain information. The studies reviewed provide support that certain diseases and clinical conditions are associated with pain. Impairment in activities of daily living (ADL) (12 studies), cognition (9 studies), depression (9 studies), and arthritis (9 studies) are the most widely studied factors, whereas depression, ADL impairment, arthritis, dementia, and cognitive impairment present the strongest association with pain. CONCLUSION AND IMPLICATIONS: This review highlights the complexities of pain in NH residents and has implications for both clinical practice and future research. Understanding the factors that underlie the experience of pain, such as depression, is useful for clinicians evaluating pain and tailoring management therapies. In addition, the gaps in knowledge uncovered in this review are important areas for future research.

Correlates of palpitations during menopause: A scoping review.

OBJECTIVE: Palpitations during peri- and post-menopause are common. It is unclear what variables are related to palpitations in peri- and post-menopausal women. The purpose of this scoping review was to summarize potential correlates of palpitations in women transitioning through menopause. METHODS: The review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Authors included English-language, full-length, peer-reviewed, cross-sectional research articles on palpitations in menopausal women published through December 18, 2021, from PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and PsycINFO searches. Following de-duplication, screening of titles and abstracts, and review of full-texts, independent reviewers extracted data on variables studied in relationship to palpitations from 84 articles and resolved discrepancies. Authors extracted data on (1) demographic, clinical, biomarker, and symptom/quality of life variables and (2) data analysis method (bivariate, multivariate). Authors classified each variable as a likely, unlikely, or unclear correlate of palpitations. RESULTS: Articles were diverse in region of origin, sample sizes, and variables assessed in relationship to palpitations. Evidence for any one variable was sparse. Likely correlates of palpitations included race/ethnicity, lower physical activity, worse vasomotor symptoms (VMSs), worse sleep, and worse quality of life. Unlikely correlates included age, employment, education, marital status, socioeconomic status, comorbidities, body mass index, and sexual difficulties. Unclear correlates due to equivocal evidence were menopausal status, smoking, and depression. Unclear correlates due to insufficient evidence (less than three articles) included all of the assessed biomarkers, anxiety, and stress. CONCLUSION: Likely correlates were identified including race/ethnicity, physical activity, VMS, sleep, and quality of life. However, additional research is needed to better understand potential correlates of palpitations.

Review of menopausal palpitations measures.

Palpitations are reported commonly by women around the time of menopause as skipped, missed, irregular, and/or exaggerated heartbeats or heart pounding. However, much less is known about palpitations than other menopausal symptoms such as vasomotor symptoms. The objective of this review was to integrate evidence on menopausal palpitations measures. Keyword searching was done in PubMed, CINAHL, and PsycINFO for English-language, descriptive articles containing data on menopause and palpitations and meeting other pre-specified inclusion criteria. Of 670 articles, 110 met inclusion criteria and were included in the review. Results showed that 11 different measures were used across articles, with variability within and between measures. Inconsistencies in the wording of measurement items, recall periods, and response options were observed even when standardized measures were used. Most measures were limited to assessing symptom presence and severity. Findings suggest that efforts should be undertaken to (1) standardize conceptual and operational definitions of menopausal palpitations and (2) develop a patient-friendly, conceptually clear, psychometrically sound measure of menopausal palpitations.

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.

Responsiveness of PROMIS and Patient Health Questionnaire (PHQ) Depression Scales in three clinical trials.

BACKGROUND: The PROMIS depression scales are reliable and valid measures that have extensive normative data in general population samples. However, less is known about how responsive they are to detect change in clinical settings and how their responsiveness compares to legacy measures. The purpose of this study was to assess and compare the responsiveness of the PROMIS and Patient Health Questionnaire (PHQ) depression scales in three separate samples. METHODS: We used data from three clinical trials (two in patients with chronic pain and one in stroke survivors) totaling 651 participants. At both baseline and follow-up, participants completed four PROMIS depression fixed-length scales as well as legacy measures: Patient Health Questionnaire 9-item and 2-item scales (PHQ-9 and PHQ-2) and the SF-36 Mental Health scale. We measured global ratings of depression change, both prospectively and retrospectively, as anchors to classify patients as improved, unchanged, or worsened. Responsiveness was assessed with standardized response means, statistical tests comparing change groups, and area-under-curve analysis. RESULTS: The PROMIS depression and legacy scales had generally comparable responsiveness. Moreover, the four PROMIS depression scales of varying lengths were similarly responsive. In general, measures performed better in detecting depression improvement than depression worsening. For all measures, responsiveness varied based on the study sample and on whether depression improved or worsened. CONCLUSIONS: Both PROMIS and PHQ depression scales are brief public domain measures that are responsive (i.e., sensitive to change) and thus appropriate as outcome measures in research as well as for monitoring treatment in clinical practice. Trial registration ClinicalTrials.gov ID: NCT01236521, NCT01583985, NCT01507688.

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.

Operationalizing Postdischarge Recovery From Laparoscopic Sacrocolpopexy for the Preoperative Consultative Visit.

OBJECTIVE: The objective was to establish a threshold for postdischarge surgical recovery from laparoscopic sacrocolpopexy for the preoperative consultative visit to answer the "what is my recovery time?" question. METHODS: Study participants (N = 171) with stage 2 or worse pelvic organ prolapse undergoing laparoscopic sacrocolpopexy who completed postoperative surveys at 4 time points. Postdischarge Surgical Recovery 13 (PSR13) scores were anchored to a Global Surgical Recovery (GSR) tool (if 100% recovery is back to your usual health, what percentage of recovery are you now?). Weighted mean PSR13 scores were calculated as a sum of the products variable when patients considered themselves 80 to less than 85, 85 to less than 90, 90 to less than 95, or 95 to 100 percent recovered on the GSR tool. The percentage of study participants recovered at postdischarge day 7, 14, 42, and 90 was calculated based on a comparison between the GSR scores and weighted mean PSR13 scores. RESULTS: A PSR13 score of 80 or greater, corresponding to 85% or greater recovery, was seen in 55.6% (42 days) and 50.9% (90 days) of study participants, respectively, establishing this numeric threshold as representing "significant" postdischarge recovery after laparoscopic sacrocolpopexy. At 14 days after discharge, only 16.4% of the study population achieved this PSR13 score. CONCLUSIONS: Most study subjects were "significantly" recovered at 42 days after laparoscopic sacrocolpopexy using a PSR13 score of 80 or greater as a numeric threshold. There is a need to determine the population percentage of recovered study subjects at 30, 60, and beyond 90 days from laparoscopic sacrocolpopexy.

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.

Development and Testing of the Dysmenorrhea Symptom Interference (DSI) Scale.

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.

Recovery expectancies impact postdischarge recovery 42 days after laparoscopic sacrocolpopexy.

INTRODUCTION AND HYPOTHESIS: The aim of this retrospective cohort study was to determine if recovery expectancies were associated with actual postdischarge recovery after laparoscopic sacrocolpopexy. METHODS: Study subjects (N = 167) undergoing laparoscopic sacrocolpopexy were asked to preoperatively predict the likelihood of a prolonged postdischarge recovery (> 42 days). Low, medium, and high recovery expectancy groups were created from responses to the likelihood of prolonged postdischarge recovery question. Previously established predictors of actual recovery 42 days after laparoscopic sacrocolpopexy included age, body mass index, Charlson co-morbidity index, short form (SF)-36 bodily pain scores, doctors' and others' health locus of control, and sick role investment. One parsimonious hierarchical linear and logistic regression model was constructed to determine if preoperative recovery expectancies were independently associated with PSR13 scores and "significant" postdischarge recovery after controlling for previously established predictors. RESULTS: Study subjects with high recovery expectancies had higher PSR13 scores than subjects with low recovery expectancies (82.32 ± 15.34 vs 73.30 ± 15.30, mean difference 9.01, 95%CI 1.08-16.94). Study subjects with low recovery expectancies scored 7.7 points lower on the PSR13 scale (minimally important difference = 5), which translated into a 73% reduction in the likelihood of being "significantly" recovered 42 days after surgery, after controlling for previously established predictors. CONCLUSIONS: A low recovery expectancy has a negative impact on actual recovery 42 days after laparoscopic sacrocolpopexy. Our findings are important because preoperative recovery expectancies are modifiable predictors, making them a candidate for an expectancy manipulation intervention designed to optimize recovery after pelvic reconstructive surgery.

MsFLASH analysis of diurnal salivary cortisol and palpitations in peri- and postmenopausal women.

OBJECTIVE: To evaluate the relationship between diurnal salivary cortisol patterns and distress from heart palpitations in midlife women. METHODS: We analyzed baseline data from 293 women who were eligible for a 3 × 2 factorial trial of exercise or yoga versus routine activity, and omega-3 fish oil versus placebo for vasomotor symptoms. Women self-collected salivary cortisol using swabs at four time points over 2 consecutive days and reported distress from heart racing or pounding during the past 2 weeks using a single item. Sample description and covariate data included demographics, clinical data, vasomotor symptom frequency from daily diaries, medication use, and validated questionnaires on depression, stress, and insomnia (Patient Health Questionnaire-8, Perceived Stress Scale, and Insomnia Severity index). Data were analyzed using descriptive statistics, chi-square and t tests, and repeated measure linear regression models. RESULTS: Participants were on average 54.6 (SD = 3.6) years old, most were White (67%) postmenopausal (84%), and 26% reported distress related to palpitations. In adjusted models, the morning (wake plus 30-min) geometric mean daily salivary cortisol concentrations were significantly more blunted in those with distress from palpitations compared with those without distress (P ≤ 0.03). When all covariates were controlled, distress from palpitations was the sole significant predictor of wake plus 30-minute cortisol (-0.25 [-0.45 to -0.04], P = 0.02). CONCLUSIONS: Palpitations among midlife women may be associated with blunted morning cortisol, and this relationship is not explained by demographics, clinical variables, vasomotor symptoms, medications, depression, stress, or insomnia.

A Menopause Strategies-Finding Lasting Answers for Symptoms and Health (MsFLASH) Investigation of Self-Reported Menopausal Palpitation Distress.

Background: Study to describe the degree of menopausal palpitation distress and its demographic, clinical, symptom, and quality-of-life (QOL) correlates. Analysis of existing, baseline, data from peri- and postmenopausal women, 42 to 62 years of age, who participated in the Menopause Strategies-Finding Lasting Answers for Symptoms and Health (MsFLASH) clinical trials testing interventions for vasomotor symptoms (n = 759). Up to 46.8% of menopausal women report having palpitations, yet the symptom is relatively understudied. Little is known about palpitation distress or its correlates. Materials and Methods: Degree of distress from "heart racing or pounding" was self-reported over the past two weeks as "not at all," "a little bit," "moderately," "quite a bit," or "extremely." Other measures included self-report forms, clinic-verified body mass index (BMI), vasomotor symptom diaries, and validated symptom and QOL tools. Results: The percentage who reported palpitation distress was 19.6%, 25.2%, and 33.5% in the three trials or 25.0% overall. In multivariate analysis, the odds of reporting palpitation distress was lower in past smokers (odds ratio [OR] = 0.59 [95% confidence interval (CI) 0.38-0.90]) and current smokers (OR = 0.48 [0.27-0.87]) relative to never-smokers and lower with every 5 kg/m2 higher BMI (OR = 0.82 [0.69-0.98]).The odds of reporting palpitation distress was higher with every five point more severe insomnia (OR = 1.28 [1.05-1.54]), five point worse depressive symptoms (OR = 1.47 [1.11-1.95]), five point worse perceived stress (OR = 1.19 [1.01-1.39]), and one point worse menopausal QOL (OR = 1.29 [1.06-1.57]). Conclusions: Menopausal palpitation distress is common and associated with demographic, clinical, symptom, and QOL factors. Findings can be used for screening in clinical practice and to justify additional research on this understudied symptom.

Engaging Adolescent and Young Adults in Microbiome Sample Self-Collection: Strategies for Success.

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.