Traditional versus developmental measures of weight suppression: Exploring their relationships with bulimic psychopathology.

OBJECTIVE: Weight suppression (WS) is related to a wide variety of eating disorder characteristics. However, individuals with eating disorders usually reach their highest premorbid weight while still developing physically. Therefore, a more sensitive index of individual differences in highest premorbid weight may be one that compares highest premorbid z-BMI to current z-BMI (called developmental weight suppression [DWS] here). METHOD: In this exploratory study, we compared the relationships between traditional weight suppression (TWS) and DWS and a variety of measures related to bulimic psychopathology in 91 females (M age, 25.2; 60.5% White), with clinical or sub-clinical bulimia nervosa. RESULTS: TWS and DWS were correlated (r = 0.40, p < 0.001). TWS was only significantly related to a measure of physical activity whereas DWS was related to 14 outcomes. DWS showed consistent positive relations with behavioural outcomes (e.g., binge eating) but consistent negative relations with cognitive/affective outcomes (e.g., weight concerns). CONCLUSIONS: Findings indicated much more consistent relationships between the novel DWS measure and bulimic characteristics than with the TWS measure. DWS showed both positive and negative relations with bulimic symptoms, though these findings require replication to confirm their validity. Consistent evidence indicated that the two WS measures served as mutual suppressor variables.

A new, developmentally-sensitive measure of weight suppression.

OBJECTIVE: Weight suppression (WS) has demonstrated associations with numerous indices of eating behavior, psychopathology and eating disorder prognosis. However, because WS has traditionally been measured as a simple subtraction of current weight from highest past weight at adult height, this calculation is problematic for most individuals with disordered eating, who usually reach their highest past weight during adolescence. Here we propose a new method for computing WS to address this shortcoming, termed "developmental weight suppression" (DWS), and provide a web-based tool for ease of calculation. METHOD: DWS is calculated as the difference between one's highest premorbid z-BMI (i.e., BMI z-score), and current z-BMI. z-BMIs were calculated using Cole's lambda-mu-sigma (LMS) approach, in accordance with LMS parameters publicly available from the Center for Disease Control (2010). A web-based user interface is available at https://niuxin.shinyapps.io/devws/, making its computation easier and its adoption by researchers simpler. DISCUSSION: By using z-BMIs in place of weights, DWS is more sensitive to the developmentally-relevant factors of age, height, and sex. Preliminary findings suggest that DWS is more strongly related to measures of eating pathology and biological reactions to weight loss than traditionally-computed WS, although more research is needed to test this hypothesis.

Prevalence of gender dysphoria and suicidality and self-harm in a national database of paediatric inpatients in the USA: a population-based, serial cross-sectional study.

BACKGROUND: Transgender and non-binary young people experience discrimination that has been linked to suicidal ideation and self-harm, but few studies have examined this association systematically. We aimed to study the association between gender dysphoria-related diagnostic coding and hospital admission for suicidality or self-harm in a large representative pediatric inpatient database from the USA. METHODS: Using the 2016 and 2019 Kids' Inpatient Database (KID), we identified transgender and non-binary young people (aged 6-20 years) with International Classification of Diseases (ICD)-10 codes related to gender dysphoria. We identified suicidal ideation using explicit suicidality ICD-10 codes, and self-harm using 355 self-harm ICD-10 codes. Prevalence of suicidality (primary outcome), self-harm, and the combination of suicidality and self-harm (secondary outcomes) was compared between young people with and without gender dysphoria-related codes. Univariable and multivariable regression was used to test for an association between gender dysphoria and suicidality, self-harm, or suicidality and self-harm combined. FINDINGS: 1 090 544 individuals were included from KID 2016 and 1 026 752 from KID 2019. Gender dysphoria-related diagnoses were prevalent in 161 per 100 000 hospital admissions in KID 2016 and 475 per 100 000 hospital admissions in KID 2019. In KID 2016 and KID 2019, among individuals who were White, privately insured, or from higher median income ZIP code areas, proportionately more had gender dysphoria-related codes. Prevalence of suicidality was greater in individuals with gender dysphoria-related codes than in individuals without gender dysphoria-related codes in KID 2016 (635 [36%] of 1755 individuals with gender dysphoria-related codes vs 55 351 [5%] of 1 088 789 individuals without gender dysphoria-related codes; unadjusted prevalence ratio [PR] 7·19 [95% CI 6·75-7·66]) and KID 2019 (2680 [55%] of 4872 individuals with gender dysphoria-related codes vs 38 831 [4%] of 1 021 880 individuals without gender dysphoria-related codes; unadjusted PR 5·45 [5·30-5·60]). This association persisted in multivariable modelling adjusting for confounders in KID 2016 (adjusted PR 5·02 [95% CI 4·67-5·41]) and KID 2019 (4·14 [4·02-4·28]). Increased unadjusted and adjusted PRs for individuals with gender dysphoria-related codes, relative to those without, were also evident for self-harm and when combining suicidality and self-harm in both the 2016 and 2019 datasets. INTERPRETATION: In a large representative national sample, transgender and non-binary young people with gender dysphoria-related diagnoses were frequently admitted to hospital for suicidality or self-harm. The lower rates of gender-dysphoria-related codes among young people who were non-White, publicly insured, and from low-income households suggest that underlying inequities might shape the identification and management of gender dysphoria. Structural and health-care provider-level interventions are needed to reduce discrimination and expand gender-affirming competencies to prevent adverse outcomes for hospitalised transgender and non-binary young people with gender dysphoria. FUNDING: National Institutes of Health.

Acceptability of Telehealth for Gender-Affirming Care in Transgender and Gender Diverse Youth and Their Caregivers.

Gender-affirming care (GAC) is critical to the well-being of transgender and gender diverse youth and was limited by COVID-19 stay-at-home orders. Telehealth created opportunities for youth to continue receiving lifesaving care. We examined the attitudes of patients (n=21) and caregivers (n=38) receiving telehealth-delivered GAC (TGAC) from May to July 2020. Participants completed surveys after telehealth visits. Descriptive statistics compared telehealth with in-person visits across key domains. Overall, 86.5% of patients and 95.4% of caregivers were satisfied with medical TGAC and 94.3% and 93.3% were satisfied with behavioral health TGAC. Future research should determine the effectiveness of TGAC and identify areas for improvement.

Acceptability, Feasibility, and Quality of Telehealth for Adolescent Health Care Delivery During the COVID-19 Pandemic: Cross-sectional Study of Patient and Family Experiences.

BACKGROUND: Data regarding the acceptability, feasibility, and quality of telehealth among adolescents and young adults (AYA) and their parents and caregivers (caregivers) are lacking. OBJECTIVE: The aim of this study was to assess the noninferiority of telehealth versus in-person visits by comparing acceptability with respect to efficiency, effectiveness, equity, patient-centeredness, and confidentiality. METHODS: Cross-sectional web-based surveys were sent to caregivers and AYA following video visits within an Adolescent Medicine subspecialty clinic in May-July 2020. Proportions of AYA and caregivers who rated telehealth as noninferior were compared using chi-squared tests. Feasibility was assessed via items measuring technical difficulties. Deductive thematic analysis using the Institute of Medicine dimensions of health care quality was used to code open-ended question responses. RESULTS: Survey response rates were 20.5% (55/268) for AYA and 21.8% (123/563) for caregivers. The majority of the respondents were White cisgender females. Most AYA and caregivers rated telehealth as noninferior to in-person visits with respect to confidentiality, communication, medication management, and mental health care. A higher proportion of AYA compared to caregivers found telehealth inferior with respect to confidentiality (11/51, 22% vs 3/118, 2.5%, P<.001). One-quarter (14/55) of the AYA patients and 31.7% (39/123) of the caregivers reported technical difficulties. The dominant themes in the qualitative data included advantages of telehealth for efficiency and equity of health care delivery. However, respondents' concerns included reduced safety and effectiveness of care, particularly for patients with eating disorders, owing to lack of hands-on examinations, collection of vital signs, and laboratory testing. CONCLUSIONS: Telehealth was highly acceptable among AYA and caregivers. Future optimization should include improving privacy, ameliorating technical difficulties, and standardizing at-home methods of obtaining patient data to assure patient safety.