OBJECTIVES:Digital health equity, the opportunity for all to engage with digital health tools to support good health outcomes, is an emerging priority across the world. The field of digital health equity would benefit from a comprehensive and systematic understanding of digital health, digital equity, and health equity, with a focus on real-world applications. We conducted a scoping review to identify and describe published frameworks and concepts relevant to digital health equity interventions. MATERIALS AND METHODS:We conducted a scoping review of published peer-reviewed literature guided by the PRISMA Extension for Scoping Reviews. We searched 5 databases for frameworks related to or applied to digital health or equity interventions. Using deductive and inductive approaches, we analyzed frameworks and concepts based on the socio-ecological model. RESULTS:Of the 910 publications initially identified, we included 44 (4.8%) publications in our review that described 42 frameworks that sought to explain the ecosystem of digital and/or health equity, but none were comprehensive. From the frameworks we identified 243 concepts grouped into 43 categories including characteristics of individuals, communities, and organizations; societal context; perceived value of the intervention by and impacts on individuals, community members, and the organization; partnerships; and access to digital health services, in-person services, digital services, and data and information, among others. DISCUSSION:We suggest a consolidated definition of digital health equity, highlight illustrative frameworks, and suggest concepts that may be needed to enhance digital health equity intervention development and evaluation. CONCLUSION:The expanded understanding of frameworks and relevant concepts resulting from this study may inform communities and stakeholders who seek to achieve digital inclusion and digital health equity.

Health infographics are often used to improve knowledge or change behaviors. However, a systematic understanding of the current landscape and evidence of health infographics is lacking. The objective of this study was to explore trends in health-related infographics research and health infographic effectiveness. We conducted a scoping review of peer-reviewed publications describing health-related infographic development, using health and computer science databases. We extracted information from included articles to understand current trends in health-related infographics research and design elements that support infographic effectiveness. A total of 135 articles met our inclusion criteria. There was an increase in health infographics publications over time and definitions of infographics, when present, varied in scope and content. Out of 81 studies that evaluated the infographics' effectiveness in improving knowledge or changing attitudes or behaviors, 71 (87.7%) reported that infographics were effective. Infographics were often preferred over another medium (e.g. text). Overall, there is increasing interest in research regarding health-related infographics. While most effectiveness studies found that infographics helped improve knowledge or change behaviors, many studies lacked rigor in study design or reporting study methods. We did not find articles that focused on credibility or development of infographics tools - these are avenues for future research.

BACKGROUND:Health and healthcare are increasingly dependent on internet and digital solutions. Medically underserved communities that experience health disparities are often those who are burdened by digital disparities. While digital equity and digital health equity are national priorities, there is limited evidence about how community-based organizations (CBOs) consider and develop interventions. METHODS:We conducted key informant interviews in 2022 purposively recruiting from health and welfare organizations engaged in digital equity work. Nineteen individuals from 13 organizations serving rural and/or urban communities from the local to national level participated in semi-structured interviews via Zoom regarding their perspectives on digital health equity interventions. Directed content analysis of verbatim interview transcripts was conducted to identify themes. RESULTS:Themes emerged at individual, organizational, and societal levels. Individual level themes included potential benefits from digital health equity, internet access challenges, and the need for access to devices and digital literacy. Organizational level themes included leveraging community assets, promising organizational practices and challenges. For the societal level, the shifting complexity of the digital equity ecosystem, policy issues, and data for needs assessment and evaluation were described. Several example case studies describing these themes were provided. DISCUSSION AND CONCLUSION:Digital health equity interventions are complex, multi-level endeavors. Clear elucidation of the individual, organizational, and societal level factors that may impact digital health equity interventions are necessary to understanding if and how CBOs participate in such initiatives. This study presents unique perspectives directly from CBOs driving programs in this new arena of digital health equity.

Objective To create and evaluate a public health informatics tool, Florence, for communicating information to the public. Materials and Methods This user-centered design study included 3 phases: (1) an interview and survey study with public health practitioners to assess needs for creating infographics; (2) the application of assessment findings and public health-motivated design guidelines to the design and development of a public health-specific infographic design tool; and (3) a feasibility and usability study to evaluate the feasibility and usability of the tool. Results In phase 1, participants noted the importance of tailoring infographics to an audience and wanted flexible tools along with design guidance to help make fewer design decisions. In phase 2, we developed a prototype tool with: (1) layout and functionality familiar to PH users, (2) quick and intuitive ways to add and modify data in visualizations, and (3) health-focused visual elements. In phase 3, participants found Florence to be usable, providing an intuitive and straightforward experience, and that the focus on public health was useful. Discussion Based on needs assessments and existing literature, we created Florence along with public health practitioners to address their domain specific needs, ultimately leading to a tool that participants in our study deemed useful. Future research can build on our work to develop user-centered tools to meet their needs. Conclusion Infographics are important for public health communication. Creating user-centered solutions to address the unique needs of public health can support communication efforts.

Context: Rural public health personnel serve communities that have been particularly susceptible to COVID-19 and yet faced the pandemic with far less well-resourced capacity than their urban counterparts. A critical aspect of addressing local health inequities is access to high-quality population data and the capacity to effectively use data to support decision making. However, much of the data required to investigate inequities are not readily available to rural local health departments and the tools and training to analyze data are often lacking. Program: The purpose of our effort was to explore rural data challenges related to COVID-19 and provide recommendations for improving rural data access and capacity ahead of future crises. Implementation: We gathered qualitative data in 2 phases, more than 8 months apart, from rural public health practice personnel. Initial data were gathered in October-November 2020 regarding rural public health data needs during the COVID-19 pandemic and then to later identify whether the same findings held true in July 2021 or whether access to and capacity to use data to address the pandemic and related inequities improved as the pandemic progressed. Evaluation: In our 4-state exploration focused on access and use of data among rural public health systems to promote health equity in the Northwest United States, we found tremendous and ongoing unmet data needs, challenges with communicating data, and a lack of capacity to meet this public health crisis. Discussion: Recommendations for addressing these challenges include increasing dedicated resources specifically to rural public health systems, improving data access and infrastructure, and providing dedicated data-related workforce development.

Research shows that music helps people regulate and process emotions to positively impact their mental health, but there is limited research on how to build music systems or services to support this. We investigated how engagement with music can help the listener support their mental health through a case study of the BTS ARMY fandom. We conducted a survey with 1,190 BTS fans asking about the impact BTS’ music has on their mental health and wellbeing. Participants reported that certain songs are appropriate for specific types of mood regulations, attributed largely to lyrics. Reflection, connection, and comfort were the top three experiences listeners shared during and after listening to BTS’ music. External factors like knowledge about the context of a song’s creation or other fans’ reactions to a song also influenced people’s feelings toward the music. Our research suggests an expanded view of music’s impact on mental health beyond a single-modal experience to a dynamic, multi-factored experience that evolves over time within the interconnected ecosystem of the fandom. We present the Dynamic Music Engagement Model which represents the complex, multifaceted, context-dependent nature of how music influences people’s mental health, followed by design suggestions for music information systems and services.

Information visualization (InfoViz) tools offer a potential solution to pain communication challenges. Incongruencies in communication styles between patients with limited English proficiency (LEP), interpreters, and providers contribute to significant disparities in pain care and outcomes. This study's purpose is to evaluate and refine a culturally appropriate InfoViz pain quality assessment tool for LEP Hmong patients. We conducted a three-part iterative user-centered study with LEP Hmong, bilingual Hmong, and Hmong interpreters with (1) participatory design sessions to evaluate and refine pain infographics for inclusion on the tool, (2) card-sorting to organize the infographics to match the mental models of LEP patients, and (3) a tool assessment to identify which tool accurately represented LEP patients' mental models and was preferred in clinical settings. Fifty-five participants provided three common themes for pain infographics refinement: culturally-relevant colors, infographics resembling human anatomy, and action-specific squiggle lines. The card-sorting sessions revealed three organizational themes: sensation (n = 15; 71.4%), localization (n = 6; 28.6%), and severity of pain quality (n = 5; 24.3%). Most participants selected the localization as the most accurate tool and preferred it in clinical settings. Using a multi-step, user-centered approach resulted in a culturally appropriate pain InfoViz tool for LEP Hmong patients.

Research suggests that while informatics solutions can help understand and address health disparities, there is potential for solutions to exacerbate existing or create new health disparities. To help future research and development of equitable solutions, we need to look upstream at how disparities are being integrated into informatics training programs. Doing so provides understanding and informs development of curricula that provide a foundation for future informaticists to build solutions that are ethical and equitable. To examine how the topic of health disparities is integrated into informatics courses. This cross-sectional, descriptive study took place April-October 2019 in the United States. Individuals teaching courses in informatics programs were recruited via listservs and email to complete an online survey. Instructors were eligible if they integrated disparities content into their informatics courses. Survey questions examined administrative aspects of the course (e.g., class size, mode of teaching, discipline of enrolled students) and disparities content integrated into the course (e.g., social determinants of health [SDOH] covered, how students were assessed on disparities related content). Participants also reported challenges they faced integrating disparities content into their courses. Quantitative data were analyzed using descriptive statistics; qualitative data were analyzed using inductive coding. Invitations were sent to 141 individuals, including contacts for the National Library of Medicine (NLM) biomedical informatics training programs, and 11 listservs. We obtained data for 24 informatics courses that contained health disparities content. Courses were taught primarily in graduate programs (n=21, 87.5%) in informatics (n=9, 33.3%), nursing (n=7, 25.9%), and information science (n=6, 22.2%). Of the 24 courses, six (25.0%) were taught in an NLM training program. The most frequently covered SDOHs were socioeconomic status and race/ethnicity (both n=21, 87.5%); the least frequently covered were body type (n=0), low resource areas (n=2, 8.3%), and urban residences (n=3, 12.5%). Instructors noted three main types of challenges when integrating disparities related content into their courses: the need for additional resources, student-related challenges, and topic sensitivity. Our sample included 24 informatics courses -- fewer than we had hoped -- that integrated disparities content; these courses spanned disciplines and varied in terms of the topics covered. Based on our findings, we provide recommendations for the intentional development of informatics programs to support the training of future generations of informaticians with foundational and transnational knowledge in health disparities so they are well-equipped to develop equitable informatics solutions. This study was not a clinical trial.

Background: Rural local health departments (LHDs) lack adequate capacity and funding to effectively make data driven decisions to support their communities that face greater health disparities compared to urban counterparts. The need, therefore, exists for informatics solutions to support rural LHDs.Purpose: We describe the user-centered design (UCD) of SHARE-NW: Solutions in Health Analytics for Rural Equity across the Northwest, a website (sharenw.nwcphp.org) with data visualization dashboards for rural LHD practitioners in Alaska, Idaho, Oregon, and Washington to help them identify health disparities in their jurisdictions.Methods: In this UCD study guided by Munzner's Nested Model for Visualization Design and Validation, we (1) completed a needs assessment, (2) created and evaluated mockups, and (3) conducted usability testing of a functional alpha testing website. Potential end-users (rural LHD practitioners) and Equity Advisory Committee members (public health experts from state, rural local, and tribal public health agencies) across our four-state catchment area were engaged throughout the website development and testing. We adapted traditional in person UCD methods to be remote to reach participants across a large geographic area and in rural/frontier areas of Alaska, Idaho, Oregon, and Washington.Results: We recruited participants from all four states to engage in each stage of the project. Needs assessment findings informed the mockup development, and findings from the mockup evaluations informed the development of the functional website. Usability testing of the website overall was positive, with priority usability issues identified.Conclusions: By applying Munzner's Nested Model and UCD, we could purposefully and intentionally design evidence-based solutions, specifically for rural LHD practitioners. Adaptations of traditional UCD methods were successful and allowed us to reach end-users across a large geographic area. Future work on SHARE-NW will involve the evaluation of the website. We provide insights on our lessons learned to support future public health informatics solution development.

There is a need for nursing informatics leaders. However, there are not enough people educated and trained in informatics and leadership to fill that need. Therefore, the purpose of this study was to understand how professional organizations and nurse leaders support nursing informatics leadership development. This cross-sectional, descriptive study collected data via a scan of Web sites for eight nursing, informatics, and/or leadership professional organizations; interviews and surveys with nursing informatics leaders within the eight organizations; and a review of Web site, interview, and survey findings by nursing informatics leaders involved in leadership development. We found that nursing informatics leaders and professional organizations can support the nursing informatics leadership pipeline several ways. Examples included mentoring, education/training, and providing opportunities for networking and engagement in leadership roles. To help meet the need for nursing informatics leaders, professional organizations and current leaders can engage in various activities that provide training, education, and experiences for emerging leaders.

Objective: The aims of this study were to: (1) characterize the menopause transition (MT) on social media and (2) determine if concordance or discordance exists when comparing MT-focused social media posts and biomedical research literature. Methods: We analyzed 440 sequential Instagram posts with the hashtag #menopause over 2 weeks from January to February 2019. Posts were composed of 299 unique accounts, resulting in an average of 1.7 posts per account (standard deviation [SD] 1; range 1-9; median 1 and interquartile range [IQR] 1-2). Each account had an average of 2,616 followers (SD 11,271; range 3-129,000; median 421.5 and IQR 177-1,101). Content and thematic analyses were completed for posts, images, and videos to identify codes related to the MT. The top 15 codes were then searched along with the key term “menopause” in PubMed to ascertain the level of concordance between Instagram content and peer-reviewed literature on the MT. Results: We identified 69 codes in our corpus of Instagram content, resulting in 9 categories: physical health, mental health, complementary and integrative health, advertising, social, advice, self-care, nature, and self-expression (kappa 0.95-1.00). The most prevalent codes were related to weight loss/fitness (20.5%) and hormones (18.4%). The majority of frequent codes identified in Instagram posts were infrequently listed in biomedical literature related to menopause. However, there were two codes, Weight loss/Fitness and Hot flashes, that were frequently discussed in Instagram posts and the biomedical literature. Conclusions: The examination of #menopause on Instagram provides novel insights for researchers and clinicians. Our findings provide a better understanding of the experiences and support needs of individuals experiencing menopause. Furthermore, codes related to menopause have low prominence in the biomedical literature, suggesting key topics that could be explored in the future. Video Summary: http://links.lww.com/MENO/A695.

OBJECTIVE:To elicit novel ideas for informatics solutions to support individuals through the menopausal transition. (Note: We use "individuals experiencing menopause" and "experiences" rather than "symptoms" when possible to counter typical framing of menopause as a cisgender women's medical problem.).METHODS:A participatory design study was conducted 2015-2017 in the Western US. Two sessions were held with individuals experiencing menopause recruited from the general public; and 3 sessions with healthcare practitioners (HCPs) including nurses, physicians, and complementary and integrative health (CIH) practitioners were held. Participants designed technologies addressing informational needs and burdensome experiences. HCPs reflected on designs from participants experiencing menopause. Directed content analysis was used to analyze transcripts.RESULTS:Eight individuals experiencing menopause (n = 4 each session) and 18 HCPs (n = 10 CIH, n = 3 nurses, n = 5 physicians) participated. All participants provided ideas for solution purpose, hardware, software, features and functions, and data types. Individuals experiencing menopause designed technologies to help understand and prevent burdensome menopause experiences. HCPs designed technologies for tracking and facilitating communication. Compared to nurses and physicians, CIH practitioners suggested designs reframing menopause as a positive experience and accounted for the complex lives of individuals experiencing menopause, including stigma; these ideas corresponded to comments made by participants experiencing menopause. Participants from both populations were concerned about data confidentiality and technology accessibility.CONCLUSIONS:Participant generated design ideas included novel ideas and incorporated existing technologies. This study can inform the development of new technologies or repurposing of existing technologies to support individuals through the menopausal transition.

New and emerging technologies in healthcare incorporate big data and artificial intelligence analytics change every day. With the continued integration of technology into healthcare, we need more Nursing Informatics (NI) leaders. To identify actionable steps emerging NI leaders can take to mature, we conducted a website scan of eight professional organizations and two interviews with nurse leaders who have experience in those organizations. This article discusses nursing informatics and nursing leadership, and we describe our study methods and findings. Based on our study results, we provide specific recommendations for emerging NI leaders, such as obtaining training or education, seeking mentorship, building a network, cultivating confidence, and being active in professional organizations. Engaging in self-reflection and self-assessment can assist new and emerging NI leaders to prioritize actions they can take to mature in this nursing specialty.

Accessible summary What is known on the subject? In clinical psychiatry and mental health nursing practice, family caregivers are known to provide the bulk of care and play an important role in facilitating recovery outcomes for their loved ones diagnosed with psychosis. Providing services and interventions to family caregivers is as important as to patients in the early stage of psychotic experience for having a beneficial impact on the patients’ clinical and social outcomes. Limited qualitative research has focused on family caregivers’ subjective views of what they need during the critical period to identify early warning signs and connect their loved ones to professional help as they have no prior experience in caring for persons with psychosis. What this paper adds to existing knowledge? Using qualitative analysis of family caregiver focus groups, this manuscript provides readers in clinical nursing practice with an understanding of family caregivers’ lived experiences of supporting their loved one diagnosed with early psychosis. Understanding family caregivers’ caregiving unmet needs in supporting their loved one diagnosed with early psychosis could inform both the technology‐assisted intervention development and nursing practice in improving family‐centred care and facilitate self‐management practice. Implications for mental health nursing Psychiatry and mental health nursing has long been engaged with the health and well‐being of individuals with psychosis and supporting their families in the development, evaluation and implementation of innovative approaches to patient and family education. Digital technologies designed to deliver tailored intervention for family caregivers are underdeveloped, and the present study identifies a number of potential features that could comprise technology to meet the needs of this population. Abstract Introduction Caregivers play a critical role in detecting and managing psychotic symptoms before young people diagnosed with early psychosis present to care. Little is known about the specific needs of caregivers in navigating pathways to care for their loved one. Aim The purpose of this study was to understand the needs of family caregivers and their ways of coping on the pathway to care for early psychosis. Method Twenty family caregivers of individuals diagnosed with early psychosis participated in three focus groups that explored caregiving needs provision for early psychosis. Thematic analysis was conducted. Results We identified four major themes: education and skill training; raising wider awareness, such as police offers and teachers; adopting technologies for coping; and effective coping strategies. Implications for practice These findings provide important insights into caregiving needs and the ways for nurses to address those needs and better equip carers to recognize early symptoms, monitor behaviour changes and navigate care to support people with first‐episode psychosis. Nursing researchers can use the information to develop on‐demand and tailored family‐centred intervention in addressing caregivers’ needs in education, increasing awareness of early psychosis and fostering effective coping strategies.

Introduction: Many patients use mobile devices to track health conditions by recording patient-generated health data. However, patients and clinicians may disagree how to use these data. Objective: To systematically review the literature to identify how patient-generated health data and patient-reported outcomes collected outside of clinical settings can affect patient–clinician relationships within surgery and primary care. Methods: Six research databases were queried for publications documenting the effect of patient-generated health data or patient-reported outcomes on patient–clinician relationships. We conducted thematic synthesis of the results of the included publications. Results: Thirteen of the 3204 identified publications were included for synthesis. Three main themes were identified: patient-generated health data supported patient–clinician communication and health awareness, patients desired for their clinicians to be involved with their patient-generated health data, which clinicians had difficulty accommodating, and patient-generated health data platform features may support or hinder patient–clinician collaboration. Conclusion: Patient-generated health data and patient-reported outcomes may improve patient health awareness and communication with clinicians but may negatively affect patient–clinician relationships.

Hospice interdisciplinary teams (IDTs) are required to meet regularly to update care plans for terminally ill patients and their family caregivers. Although providers see value in these meetings, they also experience frustration over meeting inefficiencies and communication challenges. The current article presents ENVISION, a tool designed to improve communication in hospice IDT meetings by providing attendees with access to up-to-date patient and family data to inform clinical decision making. In the current qualitative descriptive study, researchers explored the perspectives of hospice providers (n = 21) and family caregivers (n = 10) regarding ENVISION's usefulness and ease of use. Numerous factors influenced participants' perceptions of the tool as useful, including its impact on task efficiency, effectiveness, and difficulty. Perceptions of ENVISION's ease of use focused on ease of learning, operating, and interpreting data the tool provided. Findings suggest ENVISION would benefit hospice nurses in care management and senior leadership positions. [Journal of Gerontological Nursing, 46(7), 9-14.].

In this article, we describe our efforts to retrace and reimagine period tracking technology-or, mobile applications designed to support the documentation and quantification of menstrual cycle data. In their current form, these systems often encourage those who menstruate to extract intimate information about the body (e.g., consistency or color of menstrual flow, physical and emotional symptoms), while promising to predict fertility and offer insight into managing one's period. In doing so, these technologies subtly dictate the forms of knowledge and types of relationships menstruators are expected to establish with their bodies (i.e., transactional or instrumentalized). Through historical analysis and a series of participatory experiments, we offer a vision for menstrual sensemaking that expands on these forms of interaction and ways of knowing to emphasize multiplicity and dimensionality rather than models, predictability, or a user's relation to averages or norms.

Informatics tools for consumers and patients are important vehicles for facilitating engagement, and the field of consumer health informatics is an key space for exploring the potential of these tools. To understand research findings in this complex and heterogeneous field, a scoping review can help not only to identify, but to bridge, the array of diverse disciplines and publication venues involved. The goal of this systematic scoping review was to characterize the extent; range; and nature of research activity in consumer health informatics, focusing on the contributing disciplines of informatics; information science; and engineering. Four electronic databases (Compendex, LISTA, Library Literature, and INSPEC) were searched for published studies dating from January 1, 2008, to June 1, 2015. Our inclusion criteria specified that they be English-language articles describing empirical studies focusing on consumers; relate to human health; and feature technologies designed to interact directly with consumers. Clinical applications and technologies regulated by the FDA, as well as digital tools that do not provide individualized information, were excluded. We identified 271 studies in 63 unique journals and 22 unique conference proceedings. Sixty-five percent of these studies were found in health informatics journals; 23% in information science and library science; 15% in computer science; 4% in medicine; and 5% in other fields, ranging from engineering to education. A single journal, the Journal of Medical Internet Research, was home to 36% of the studies. Sixty-two percent of these studies relied on quantitative methods, 55% on qualitative methods, and 17% were mixed-method studies. Seventy percent of studies used no specific theoretical framework; of those that did, Social Cognitive Theory appeared the most frequently, in 16 studies. Fifty-two studies identified problems with technology adoption, acceptance, or use, 38% of these barriers being machine-centered (for example, content or computer-based), and 62% user-centered, the most frequently mentioned being attitude and motivation toward technology. One hundred and twenty-six interventional studies investigated disparities or heterogeneity in treatment effects in specific populations. The most frequent disparity investigated was gender (13 studies), followed closely by race/ethnicity (11). Half the studies focused on a specific diagnosis, most commonly diabetes and cancer; 30% focused on a health behavior, usually information-seeking. Gaps were found in reporting of study design, with only 46% of studies reporting on specific methodological details. Missing details were response rates, since 59% of survey studies did not provide them; and participant retention rates, since 53% of interventional studies did not provide this information. Participant demographics were usually not reported beyond gender and age. Only 17% studies informed the reader of their theoretical basis, and only 4 studies focused on theory at the group, network, organizational or ecological levels—the majority being either health behavior or interpersonal theories. Finally, of the 131 studies describing the design of a new technology, 81% did not involve either patients or consumers in their design. In fact, while consumer and patient were necessarily core concepts in this literature, these terms were often used interchangeably. The research literature of consumer health informatics at present is scattered across research fields; only 49% of studies from these disciplines is indexed by MEDLINE and studies in computer science are siloed in a user interface that makes exploration of that literature difficult. Few studies analyzed in this scoping review were based in theory, and very little was presented in this literature about the life context, motives for technology use, and personal characteristics of study participants.

Study Objective: Prior research has collectively shown that endometriosis is inversely related to women's adiposity. The aim of this study was to assess whether this inverse relationship holds true by disease severity and typology. Design: Cross-sectional study among women with no prior diagnosis of endometriosis. Setting: Fourteen clinical centers in Salt Lake City, UT, and San Francisco, CA. Patients: A total of 495 women (of which 473 were analyzed), aged 18-44 years, were enrolled in the operative cohort of the Endometriosis, Natural History, Diagnosis, and Outcomes (ENDO) Study. Interventions: Gynecologic laparoscopy/laparotomy regardless of clinical indication. Measurements and Main Results: Participants underwent anthropometric assessments, body composition measurements, and evaluations of body fat distribution ratios before surgery. Surgeons completed a standardized operative report immediately after surgery to capture revised American Society for Reproductive Medicine staging (I-IV) and typology of disease (superficial endometriosis [SE], ovarian endometrioma [OE], and deep infiltrating endometriosis [DIE]). Linear mixed models, taking into account within-clinical-center correlation, were used to generate least square means (95% confidence intervals) to assess differences in adiposity measures by endometriosis stage (no endometriosis, I-IV) and typology (no endometriosis, SE, DIE, OE, OE + DIE) adjusting for age, race/ethnicity, and parity. Although most confidence intervals were wide and overlapping, 3 general impressions emerged: (1) women with incident endometriosis had the lowest anthropometric/body composition indicators compared with those without incident endometriosis, (2) women with stage I or IV endometriosis had lower indicators compared with women with stage II or III, and (3) women with OE and/or DIE tended to have the lowest indicators, whereas women with SE had the highest indicators. Conclusion: Our research highlights that the relationship between women's adiposity and endometriosis severity and typology may be more complicated than prior research indicates. (c) 2020 AAGL. All rights reserved.