Mental health aspects of binge eating disorder: A cross-sectional mixed-methods study of binge eating disorder experts' perspectives.

Binge eating disorder has high comorbidity with a variety of mental health diagnoses and significantly impairs quality of life. This mixed-methods cross-sectional survey study aimed to collect information from experts in the field about mental health issues pertaining to adult binge eating disorder pathology. Fourteen expert binge eating disorder researchers and clinicians were identified based on history of NIH R01 funding, relevant PubMed-indexed publications, active practice in the field, leadership in related professional societies, and/or distinction in popular press. Semi-structured interviews were anonymously recorded and analyzed by ≥2 investigators using reflexive thematic analysis and quantification. The domains of depression, anxiety, attention deficit disorder (ADD)/attention deficit hyperactive disorder (ADHD), substance-related and addictive disorders (SRADs), obsessive-compulsive disorder (OCD), and post-traumatic stress disorder (PTSD) were addressed in relation to binge eating disorder pathology by 100, 100, 93, 79, 71, and 64% of participants, respectively. Depression and anxiety seem to be the most commonly recognized mental health comorbidities among experts participating in this study. These expert perceptions generally align with the most comprehensive and up-to-date information available on mental health comorbidity prevalence data in adult binge eating disorder, though updated surveys are warranted. The findings from this study highlight the importance of screening for binge eating disorder among individuals with Axis-I mental health diagnoses (e.g., depression and other mood disorders, anxiety disorders, ADD/ADHD, and SRADs). Research on underlying mechanisms that link various Axis-I disorders to binge eating disorder is also warranted and recommended by the experts.

Binge Eating Disorder Is a Social Justice Issue: A Cross-Sectional Mixed-Methods Study of Binge Eating Disorder Experts' Opinions.

BACKGROUND: Binge eating disorder is an autonomous DSM-V diagnosis characterized by discrete rapid consumption of objectively large amounts of food without compensation, associated with loss of control and distress. Environmental factors that contribute to binge eating disorder continue to evolve. This mixed-methods cross-sectional study assessed whether there is consensus among experts in the field about environmental factors that influence adult binge eating disorder pathology. METHODS: Fourteen expert binge eating disorder researchers, clinicians, and healthcare administrators were identified internationally based on federal funding, PubMed-indexed publications, active practice in the field, leadership in relevant societies, and/or clinical and popular press distinction. Semi-structured interviews were recorded anonymously and analyzed by ≥2 investigators using reflexive thematic analysis and quantification. RESULTS: Identified themes included: (1) systemic issues and systems of oppression (100%); (2) marginalized and under-represented populations (100%); (3) economic precarity and food/nutrition insecurity/scarcity (93%); (4) stigmatization and its psychological impacts (93%); (5) trauma and adversity (79%); (6) interpersonal factors (64%); (7) social messaging and social media (50%); (8) predatory food industry practices (29%); and (9) research/clinical gaps and directives (100%). CONCLUSIONS: Overall, experts call for policy changes around systemic factors that abet binge eating and for greater public education about who can have binge eating disorder. There is also a call to take and account for the narratives and life experiences of individuals with binge eating disorder to better inform our current understanding of the diagnosis and the environmental factors that impact it.

Clinical aspects of binge eating disorder: A cross-sectional mixed-methods study of binge eating disorder experts' perspectives.

Introduction: Research on binge eating disorder continues to evolve and advance our understanding of recurrent binge eating. Methods: This mixed-methods, cross-sectional survey aimed to collect information from experts in the field about clinical aspects of adult binge eating disorder pathology. Fourteen experts in binge eating disorder research and clinical care were identified based on receipt of relevant federal funding, PubMed-indexed publications, active practice in the field, leadership in relevant societies, and/or clinical and popular press distinction. Anonymously recorded semi-structured interviews were analyzed by ≥2 investigators using reflexive thematic analysis and quantification. Results: Identified themes included: (1) obesity (100%); (2) intentional/voluntary or unintentional/involuntary food/eating restriction (100%); (3) negative affect, emotional dysregulation, and negative urgency (100%); (4) diagnostic heterogeneity and validity (71%); (5) paradigm shifts in understanding binge eating disorder (29%); and (6) research gaps/future directives (29%). Discussion: Overall, experts call for a better understanding of the relationship between binge eating disorder and obesity, including a need for clarification around the extent to which the two health issues are separate vs. related/overlapping. Experts also commonly endorse food/eating restriction and emotion dysregulation as important components of binge eating disorder pathology, which aligns with two common models of binge eating disorder conceptualization (e.g., dietary restraint theory and emotion/affect regulation theory). A few experts spontaneously identified several paradigm shifts in our understanding of who can have an eating disorder (beyond the anorexi-centric "thin, White, affluent, cis-gendered neurotypical female" stereotype), and the various factors that can drive binge eating. Experts also identified several areas where classification issues may warrant future research. Overall, these results highlight the continual advancement of the field to better understand adult binge eating disorder as an autonomous eating disorder diagnosis.

A Conversion Crosswalk for the UCLA PTSD Reaction Index: Translating DSM-IV to DSM-5.

The use of patient-reported measures in assessing mental health symptoms is common in both the research and clinical fields. With regard to assessing posttraumatic stress symptoms, there are specific versions of measures designed for child and adolescent populations in accordance with the fourth and fifth editions of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV and DSM-5, respectively). Different clinical thresholds, numbers of items, and score ranges may present obstacles for clinicians and researchers attempting to compare self-report ratings across different versions of a measure. The current study aimed to produce a score conversion crosswalk between two child/adolescent self-report measures of posttraumatic stress disorder (PTSD): the UCLA PTSD Reaction Index for DSM-IV (RI-IV) and DSM-5 (RI-5). Using item response theory (IRT), we calibrated both measures separately to derive scaled scores. The discrimination parameters ranged from 0.57 to 2.08 (SE = 0.09-0.17) for RI-IV and from 0.73 to 2.11 for RI-5 (SE = 0.07-0.13). The scaled scores were connected with equipercentile linking. Total scores based on common items between the two measures were used as anchors to enhance the linking results. A total of 1,486 children and adolescents completed the measure: 571 respondents filled out the RI-IV and 915 respondents filled out the RI-5. The results allow linked scores to be compared to establish recommended clinical cutoffs and help elucidate the implications of changes in the diagnostic criteria for the measurement of self-reported PTSD symptoms in children and adolescents.

ISAC Probe Tag Dictionary: Standardized Nomenclature for Detection and Visualization Labels Used in Cytometry and Microscopy Imaging.

Since the advent of microscopy imaging and flow cytometry, there has been an explosion in the number of probes, consisting of a component binding to an analyte and a detectable tag, to mark areas of interest in or on cells and tissue. Probe tags have been created to detect and/or visualize probes. Over time, these probe tags have increased in number. The expansion has resulted in arbitrarily created synonyms of probe tags used in publications and software. The synonyms are problematic for readability of publications, accuracy of text/data mining, and bridging data from multiple platforms, protocols, and databases for Big Data analysis. Development and implementation of a universal language for probe tags will ensure equivalent quality and level of data being reported or extracted for clinical/scientific evaluation as well as help connect data from many platforms. The International Society for Advancement of Cytometry Data Standards Task Force composed of academic scientists and industry hardware/software/reagent manufactures have developed recommendations for a standardized nomenclature for probe tags used in cytometry and microscopy imaging. These recommendations are shared in this technical note in the form of a Probe Tag Dictionary. © 2020 International Society for Advancement of Cytometry.

Development and Preliminary Validation of the University of Minnesota's Traumatic Stress Screen for Children and Adolescents (TSSCA).

Child and adolescent exposure to potential trauma experiences is pervasive. Given the prevalence, deleterious mental and physical effects, and economic cost of trauma exposure, child- and family-service systems are adopting trauma-informed approaches, including practices like trauma screening. Although a number of trauma-focused screening and assessment measures exist for youth, the majority are lengthy and inappropriate for universal administration. This study describes the development and preliminary validation of the Traumatic Stress Screen for Children and Adolescents (TSSCA), a six-item screening measure for trauma exposure and traumatic stress symptoms. Using two samples of youth presenting at community practice settings (n1 = 134, n2 = 137), reliability, discriminative validity, and criterion-related validity were calculated for the TSSCA. Results support the TSSCA as an empirically derived, reliable, and valid screening measure for exposure to trauma and symptoms of traumatic stress for youth ages 7 to 18.

The Haitian Orthopaedic Residency Exchange Program.

After a devastating earthquake in Haiti in 2010, multiple South Carolinian orthopaedic teams, funded by the South Carolina Orthopedic Association (SCOA), developed an exchange program for Haitian residents. METHODS: SCOA teams have sequentially logged their patient experiences since 2015 for a total of six updates per year. These logs were reviewed in detail to evaluate clinical results in terms of case volumes, cases performed, follow-up obtained, and complications. RESULTS: Twenty-one orthopaedic attendings, 19 South Carolina orthopaedic residents, 22 Haitian orthopaedic residents, and 22 ancillary staff have rotated through Hospital Lumiere. The teams have seen over 2000 patients in the orthopaedic clinic and performed 554 surgeries, including 207 fractures (half of which being open), 24 nonunion and 7 malunion repairs, 15 lower extremity amputations, 27 hemiarthroplasties for femoral neck fractures, and 34 cases of chronic osteomyelitis. DISCUSSION: The SCOA Foundation has developed a coordinated service for the musculoskeletal needs of the Haitian people while collaboratively elevating the standard of orthopaedic training in Haiti. We report a collaborative model that other US residency programs can use to impart beneficial changes not only in their home program, but also in training programs abroad.

Sometimes simpler is better: VLog, a general but easy-to-implement log-like transform for cytometry.

The fundamental purpose of log and log-like transforms for cytometry is to make measured population variabilities as uniform as possible. The long-standing success of the log transform was its ability to stabilize linearly increasing gain-dependent uncertainties and the success of the log-like transforms is that they extend this notion to include zero and negative measurement values. This study derives and examines a transform called VLog that stabilizes the three general sources of variability: (1) gain-dependent variability, (2) photo-electron counting error, and (3) signal-independent sources of error. Somewhat surprisingly, this transform has a closed-form solution and therefore is relatively simple to implement. By including some quantitation elements in its formulation, the shape-dependent arguments, α and ß, usually do not require optimization for different datasets. The simplicity and generality of the transform may make it a useful tool for cytometry and possibly other technologies. © 2016 International Society for Advancement of Cytometry.

Child Welfare, Juvenile Justice, Mental Health, and Education Providers' Conceptualizations of Trauma-Informed Practice.

This study systematically examined child-service providers' conceptualizations of trauma-informed practice (TIP) across service systems, including child welfare, juvenile justice, mental health, and education. Eleven focus groups and nine individual interviews were conducted, totaling 126 child-service providers. Conventional content analysis was used to analyze the qualitative data with interrater reliability analyses indicating near perfect agreement between coders. Qualitative analysis revealed that child-service providers identified traumatic stress as an important common theme among children and families served as well as the interest in TIP in their service systems. At the same time, child-service providers generally felt knowledgeable about what they define TIP to be, although they articulated wide variations in the degree to which they are taught skills and strategies to respond to their traumatized clients. The results of this study suggest a need for a common lexicon and metric with which to advance TIP within and across child-service systems.

Probability state modeling theory.

As the technology of cytometry matures, there is mounting pressure to address two major issues with data analyses. The first issue is to develop new analysis methods for high-dimensional data that can directly reveal and quantify important characteristics associated with complex cellular biology. The other issue is to replace subjective and inaccurate gating with automated methods that objectively define subpopulations and account for population overlap due to measurement uncertainty. Probability state modeling (PSM) is a technique that addresses both of these issues. The theory and important algorithms associated with PSM are presented along with simple examples and general strategies for autonomous analyses. PSM is leveraged to better understand B-cell ontogeny in bone marrow in a companion Cytometry Part B manuscript. Three short relevant videos are available in the online supporting information for both of these papers. PSM avoids the dimensionality barrier normally associated with high-dimensionality modeling by using broadened quantile functions instead of frequency functions to represent the modulation of cellular epitopes as cells differentiate. Since modeling programs ultimately minimize or maximize one or more objective functions, they are particularly amenable to automation and, therefore, represent a viable alternative to subjective and inaccurate gating approaches.

ISAC's classification results file format.

Identifying homogenous sets of cell populations in flow cytometry is an important process for sorting and selecting populations of interests for further data acquisition and analysis. Many computational methods are now available to automate this process, with several algorithms partitioning cells based on high-dimensional separation versus the traditional pairwise two-dimensional visualization approach of manual gating. ISAC's classification results file format was developed to exchange the results of both manual gating and algorithmic classification approaches in a standardized way based on per event based classifications, including the potential for soft classifications expressed as the probability of an event being a member of a class. © 2014 International Society for Advancement of Cytometry.

FCS 3.1 Implementation guidance.

The Flow Cytometry Standard (FCS) format was developed back in 1984. Since then, FCS became the standard file format supported by all flow cytometry software and hardware vendors. Over the years, updates were incorporated to adapt to technological advancements in both flow cytometry and computing technologies. However, flexibility in how data may be stored in FCS has led to implementation difficulties for instrument vendors and third party software developers. In this technical note, we are providing implementation guidance and examples related to FCS 3.1, the latest version of the standard. By publishing this text, we intend to prevent potential compatibility issues that could be faced when implementing the FCS spillover and preferred display keywords that have arisen during discussions among some implementers.

Data File Standard for Flow Cytometry, version FCS 3.1.

The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data. In 1984, the first Flow Cytometry Standard format for data files was adopted as FCS 1.0. This standard was modified in 1990 as FCS 2.0 and again in 1997 as FCS 3.0. We report here on the next generation flow cytometry standard data file format. FCS 3.1 is a minor revision based on suggested improvements from the community. The unchanged goal of the standard is to provide a uniform file format that allows files created by one type of acquisition hardware and software to be analyzed by any other type.The FCS 3.1 standard retains the basic FCS file structure and most features of previous versions of the standard. Changes included in FCS 3.1 address potential ambiguities in the previous versions and provide a more robust standard. The major changes include simplified support for international characters and improved support for storing compensation. The major additions are support for preferred display scale, a standardized way of capturing the sample volume, information about originality of the data file, and support for plate and well identification in high throughput, plate based experiments. Please see the normative version of the FCS 3.1 specification in Supporting Information for this manuscript (or at http://www.isac-net.org/ in the Current standards section) for a complete list of changes.

Team-based learning in an undergraduate nursing course.

To increase student participation in the learning process, active learning methods, including small group learning, have become increasingly popular in modern curricula. One kind of small group learning, team-based learning, is a relatively new instructional strategy in health care education. Team-based learning uses theoretically based and empirically grounded strategies for ensuring the effectiveness of small groups working independently in classes with high student-to-faculty ratios (e.g., up to 200:1), without losing the benefits of faculty-led small groups with lower ratios (e.g., 7:1). To explore the effectiveness of this learning pedagogy, we evaluated students' level of engagement and attitudes toward the value of teams. Findings demonstrated that team-based learning is an effective teaching strategy for large groups of students.