Inventario de Trastornos Alimentarios (Eating Disorder Inventory)

El Inventario de Trastornos Alimentarios (Eating Disorder Inventory, EDI, por sus siglas en inglés) fue desarrollado hace más de 30 años, y es en la actualidad uno de los instrumentos autoadministrables más ampliamente utilizados para la exploración de síntomas y rasgos psicológicos en personas con trastornos alimentarios (TA). Garner, Olmstead y Polivy desarrollaron en 1983 la primera versión del inventario, basándose en una visión multidimensional de los TA. Según estos autores, los instrumentos utilizados hasta entonces se orientaban a la evaluación de los aspectos conductuales y sintomáticos de los TA, dejando de lado los aspectos psicológicos vinculados con ellos. Diseñaron entonces un instrumento cuyo principal objetivo era la evaluación de rasgos psicológicos considerados fundamentales en el desarrollo y mantenimiento de la anorexia y la bulimia nerviosa. Dada la heterogeneidad en la presentación clínica y la variabilidad en los rasgos que intervienen en la aparición y mantenimiento de los TA, la medición de los mismos brindaba la posibilidad de delimitar perfiles psicológicos, resultando de gran utilidad para una mejor comprensión de los cuadros y la planificación de los tratamientos.

Timing of Psychopharmacological and Nutritional Interventions in the Inpatient Treatment of Anorexia Nervosa: An Observational Study

This study aims to investigate possible different outcomes in the inpatient treatment of anorexia nervosa (AN) related to different timings of psychopharmacological and nutritional interventions. A retrospective observational study was conducted, involving young patients hospitalized for AN, treated with naso-gastric tube feeding (NGT). Participants were divided into five groups according to early (0–7 days) or late (8+ days) introduction of atypical antipsychotics (AAP) and NGT: early AAP-early NGT (EE), early AAP-late NGT (EL), late AAP-early NGT (LE), late AAP-late NGT (LL) and a control group treated with NGT only (NGT). Concurrent clinical and treatment variables were analyzed. AN psychopathology was measured with the Eating Disorder Inventory-3 (EDI-3) EDRC score. Outcomes were assessed as admission-discharge body-mass index (BMI) improvement and length of hospital stay (LOS). Contributions of variables related to outcomes were assessed with multifactorial-analyses of variance (MANOVA). Seventy-nine patients were enrolled in the study. LOS was different among treatment groups (F (4, 75) = 5.993, p < 0.001), and EE patients showed lower LOS than LE (p < 0.001) and LL (p = 0.025) patients. BMI improvement was not significantly different among treatment groups but correlated negatively with age (F (1, 72) = 10.130, p = 0.002), and admission BMI (F (1, 72) = 14.681, p < 0.001). In conclusion, patients treated with early AAP and early NGT showed lower LOS than those treated with late AAP. Prognostic treatment variables should be investigated in wider samples.

Third-wave interventions for eating disorders in adolescence – systematic review with meta-analysis

Context Third-wave therapies have demonstrated efficacy as a treatment option for EDs in adulthood. Data on the suitability for EDs in adolescence are lacking. Objective To estimate the efficacy of third-wave interventions to reduce ED symptoms in adolescents in randomized controlled trials (RCTs) and uncontrolled studies. Data sources We systematically reviewed the databases PubMed (1976-January 2021), PsycINFO (1943-January 2021), and the Cochrane database (1995-January 2021) for English-language articles on third-wave therapies. References were screened for further publications of interest. Study selection RCTs and pre-post studies without control group, comprising patients aged 11–21 years (mean age = 15.6 years) with an ED diagnosis (anorexia nervosa, bulimia nervosa, binge eating disorder, eating disorder not otherwise specified) investigating the efficacy of third-wave psychological interventions were included. Efficacy had to be evaluated according to the Eating Disorder Examination or Eating Disorder Examination-Questionnaire, the Eating Disorder Inventory-2, the Eating Disorder Inventory-3, or the Structured Interview for Anorexic and Bulimic Disorders for DSM-IV and ICD-10. The outcome assessed in the meta-analysis was the EDE total score. Data extraction Independent extraction of data by two authors according to a pre-specified data extraction sheet and quality indicators. Data synthesis We identified 1000 studies after removal of duplicates, assessed the full texts of 48 articles for eligibility, and included 12 studies with a total of 487 participants (female 97.3%/male 2.6%) in the qualitative synthesis and seven studies in the meta-analysis. Articles predominantly reported uncontrolled pre-post trials of low quality, with only two published RCTs. Treatments focused strongly on dialectical behaviour therapy (n = 11). We found moderate effects of third-wave therapies on EDE total score interview/questionnaire for all EDs (d = − 0.67; z = − 5.53; CI95% = − 0.83 to − 0.59). Descriptively, the effects appeared to be stronger in patients with BN and BED. Conclusion At this stage, it is not feasible to draw conclusions regarding the efficacy of third-wave interventions for the treatment of EDs in adolescence due to the low quality of the empirical evidence. Since almost all of the identified studies used DBT, it is unfortunately not possible to assess other third-wave treatments’ efficacy.

The applicability of the Eating Disorder Inventory in pregnancy

Purpose The aim of our study was validating Eating Disorder Inventory (EDI) among pregnant women, who are vulnerable to eating disorders (EDs). Methods In 2012–2013, 1146 women (aged 18–47 years) completed a questionnaire including EDI during the first 3 days after delivery. We checked factorial validity of three diagnostic subscales of EDI with confirmative factor analysis and internal validity by Cronbach’s alpha and item-total correlation. We also tested discriminative validity by comparing average of the three subscale of EDI in case of ED and non-ED groups. Results When applying the EDI to pregnant women, it seems necessary to exclude five items on three diagnostic subscales: on the Drive for Thinness subscale, 4 items remain (out of 7); on the Bulimia subscale, 6 items remain (out of 7); the Body Dissatisfaction subscale decreases from 9 to 8 items. Cronbach’s alpha and item-total correlation values meet the requirements defined by Garner et al. The internal consistency of the EDI has proved to be appropriate, indicating that it is a reliable screening tool. Conclusions Thinking, attitudes, and behaviors connected to eating, along with the relation to altering body weight change during pregnancy. Vomiting usually accompanies pregnancy; body weight gain within wide limits is also regarded as normal during pregnancy. These behaviors and changes are not feasible to use for measuring ED symptoms. These aspects cannot be neglected when screening eating disorders in pregnant women. Level of evidence Level IV evidence obtained from multiple time series with or without an intervention.

Examination of eating disorder risk among university marching band artists

Background Marching band artists are a physically active population, composed of approximately 27,000 people in the United States. University marching band artists face many of the same physically active demands and mental stressors as student athletes, potentially predisposing them to injury, illness, and risk for eating disorders (EDs). The purpose of this study was to examine ED risk across sex in university marching band artists, and to determine the type of risk based on the Eating Disorder Inventory-3 (EDI-3) and Eating Disorder Inventory-3 Symptom Check List (EDI-3 SC). A secondary aim examined marching band artists and pathogenic weight control behavior use across sex. Methods This was a cross-sectional study. A total of 150 marching band artists (female: n = 84, male: n = 66, age = 19.9 ± 1.1 years) from three National Collegiate Athletic Association Division I university marching bands participated in the study. We screened for ED risk using the EDI-3, and the EDI-3 SC. Results Overall, marching band artists were at risk for EDs, using only the EDI-3, 45.3% (n = 68) were at risk, with females at significant higher risk than males [χ2 = 5.228, p = .022]; using only the EDI-3 SC, 54% (n = 81) were at risk and no significant differences were found across sex. Overall, 48% of all participants reported dieting and 20.7% engaged in excessive exercise to control weight. Significant differences were found between sex and purging to control weight [χ2 = 3.94, p = .047] and laxative use [χ2 = 4.064, p = .044], with females engaging in behavior more than males. Conclusions Eating disorder risk was prevalent for both female and male marching band artists, with females displaying higher risk for EDs than males. Furthermore, marching band artists are engaging in pathogenic behaviors to control their weight. Healthcare providers (e.g., physicians, athletic trainers, physical therapist, dietitians, etc.) working in this setting should be aware of the risk factors displayed in marching band artists, and be able to provide education, prevention, and clinical interventions to this population. Additionally, marching band administrators should be aware of all medical risk factors and the benefit of having a healthcare provider (e.g., athletic trainer) to oversee the healthcare and wellness of marching band artists.

Energy Balance, Eating Disorder Risk, and Pathogenic Behaviors Among Athletic Trainers

Context Research exists on energy balances (EBs) and eating disorder (ED) risks in physically active populations and occupations by settings, but the EB and ED risk in athletic trainers (ATs) have not been investigated. Objective To assess ATs' energy needs, including the macronutrient profile, and examine ED risk and pathogenic behavioral differences between sexes (men, women) and job statuses (part time or full time) and among settings (college or university, high school, nontraditional). Design Cross-sectional study. Setting Free living in job settings. Patients or Other Participants Athletic trainers (n = 46; male part-time graduate assistant ATs = 12, male full-time ATs = 11, female part-time graduate assistant ATs = 11, female full-time ATs = 12) in the southeastern United States. Main Outcome Measure(s) Anthropometric measures (sex, age, height, weight, body composition), demographic characteristics (job status [full- or part-time AT], job setting [college/university, high school, nontraditional], years of AT experience, exercise background, alcohol use), resting metabolic rate, energy intake (EI), total daily energy expenditure (TDEE), EB, exercise energy expenditure, macronutrients (carbohydrates, protein, fats), the Eating Disorder Inventory-3, and the Eating Disorder Inventory-3 Symptom Checklist. Results The majority of participants (84.8%, n = 39) had an ED risk, with 26.1% (n = 12) engaging in at least 1 pathogenic behavior, 50% (n = 23) in 2 pathogenic behaviors, and 10.8% (n = 5) in &gt;2 pathogenic behaviors. Also, 82.6% of ATs (n = 38) presented in negative EB (EI &lt; TDEE). Differences were found in resting metabolic rate for sex and job status (F1,45 = 16.48, P = .001), EI (F1,45 = 12.01, P = .001), TDEE (F1,45 = 40.36, P &lt; .001), and exercise energy expenditure (F1,38 = 5.353, P = .026). No differences were present in EB for sex and job status (F1,45 = 1.751, P = .193); χ2 analysis revealed no significant relationship between ATs' sex and EB (\(\def\upalpha{\unicode[Times]{x3B1}}\)\(\def\upbeta{\unicode[Times]{x3B2}}\)\(\def\upgamma{\unicode[Times]{x3B3}}\)\(\def\updelta{\unicode[Times]{x3B4}}\)\(\def\upvarepsilon{\unicode[Times]{x3B5}}\)\(\def\upzeta{\unicode[Times]{x3B6}}\)\(\def\upeta{\unicode[Times]{x3B7}}\)\(\def\uptheta{\unicode[Times]{x3B8}}\)\(\def\upiota{\unicode[Times]{x3B9}}\)\(\def\upkappa{\unicode[Times]{x3BA}}\)\(\def\uplambda{\unicode[Times]{x3BB}}\)\(\def\upmu{\unicode[Times]{x3BC}}\)\(\def\upnu{\unicode[Times]{x3BD}}\)\(\def\upxi{\unicode[Times]{x3BE}}\)\(\def\upomicron{\unicode[Times]{x3BF}}\)\(\def\uppi{\unicode[Times]{x3C0}}\)\(\def\uprho{\unicode[Times]{x3C1}}\)\(\def\upsigma{\unicode[Times]{x3C3}}\)\(\def\uptau{\unicode[Times]{x3C4}}\)\(\def\upupsilon{\unicode[Times]{x3C5}}\)\(\def\upphi{\unicode[Times]{x3C6}}\)\(\def\upchi{\unicode[Times]{x3C7}}\)\(\def\uppsy{\unicode[Times]{x3C8}}\)\(\def\upomega{\unicode[Times]{x3C9}}\)\(\def\bialpha{\boldsymbol{\alpha}}\)\(\def\bibeta{\boldsymbol{\beta}}\)\(\def\bigamma{\boldsymbol{\gamma}}\)\(\def\bidelta{\boldsymbol{\delta}}\)\(\def\bivarepsilon{\boldsymbol{\varepsilon}}\)\(\def\bizeta{\boldsymbol{\zeta}}\)\(\def\bieta{\boldsymbol{\eta}}\)\(\def\bitheta{\boldsymbol{\theta}}\)\(\def\biiota{\boldsymbol{\iota}}\)\(\def\bikappa{\boldsymbol{\kappa}}\)\(\def\bilambda{\boldsymbol{\lambda}}\)\(\def\bimu{\boldsymbol{\mu}}\)\(\def\binu{\boldsymbol{\nu}}\)\(\def\bixi{\boldsymbol{\xi}}\)\(\def\biomicron{\boldsymbol{\micron}}\)\(\def\bipi{\boldsymbol{\pi}}\)\(\def\birho{\boldsymbol{\rho}}\)\(\def\bisigma{\boldsymbol{\sigma}}\)\(\def\bitau{\boldsymbol{\tau}}\)\(\def\biupsilon{\boldsymbol{\upsilon}}\)\(\def\biphi{\boldsymbol{\phi}}\)\(\def\bichi{\boldsymbol{\chi}}\)\(\def\bipsy{\boldsymbol{\psy}}\)\(\def\biomega{\boldsymbol{\omega}}\)\(\def\bupalpha{\bf{\alpha}}\)\(\def\bupbeta{\bf{\beta}}\)\(\def\bupgamma{\bf{\gamma}}\)\(\def\bupdelta{\bf{\delta}}\)\(\def\bupvarepsilon{\bf{\varepsilon}}\)\(\def\bupzeta{\bf{\zeta}}\)\(\def\bupeta{\bf{\eta}}\)\(\def\buptheta{\bf{\theta}}\)\(\def\bupiota{\bf{\iota}}\)\(\def\bupkappa{\bf{\kappa}}\)\(\def\buplambda{\bf{\lambda}}\)\(\def\bupmu{\bf{\mu}}\)\(\def\bupnu{\bf{\nu}}\)\(\def\bupxi{\bf{\xi}}\)\(\def\bupomicron{\bf{\micron}}\)\(\def\buppi{\bf{\pi}}\)\(\def\buprho{\bf{\rho}}\)\(\def\bupsigma{\bf{\sigma}}\)\(\def\buptau{\bf{\tau}}\)\(\def\bupupsilon{\bf{\upsilon}}\)\(\def\bupphi{\bf{\phi}}\)\(\def\bupchi{\bf{\chi}}\)\(\def\buppsy{\bf{\psy}}\)\(\def\bupomega{\bf{\omega}}\)\(\def\bGamma{\bf{\Gamma}}\)\(\def\bDelta{\bf{\Delta}}\)\(\def\bTheta{\bf{\Theta}}\)\(\def\bLambda{\bf{\Lambda}}\)\(\def\bXi{\bf{\Xi}}\)\(\def\bPi{\bf{\Pi}}\)\(\def\bSigma{\bf{\Sigma}}\)\(\def\bPhi{\bf{\Phi}}\)\(\def\bPsi{\bf{\Psi}}\)\(\def\bOmega{\bf{\Omega}}\)\({\rm{\chi }}_{1,46}^2\)= 0.0, P = 1.00) and job status and EB (\({\rm{\chi }}_{1,46}^2\) = 2.42, P = .120). No significant relationship existed between Daily Reference Intakes recommendations for all macronutrients and sex or job status. Conclusions These athletic trainers experienced negative EB, similar to other professionals in high-demand occupations. Regardless of sex or job status, ATs had a high ED risk and participated in unhealthy pathogenic behaviors. The physical and mental concerns associated with these findings indicate a need for interventions targeted at ATs' health behaviors.

Evaluation of Orthorexia Nervosa and Symptomatology Associated with Eating Disorders among European University Students: A Multicentre Cross-Sectional Study

The objectives of the present study were to (1) evaluate prevalence of orthorexia nervosa (ON) in university students in Spain and Poland, (2) assess differences in ON and eating disorder (ED) pathology in both samples and (3) examine the relationship between ON and ED symptoms among Spanish and Polish university students. Eight hundred and sixty university students participated in the present study (Mage = 21.17 ± 3.38; MBMI = 22.57 ± 3.76). The Spanish and Polish samples comprised 485 and 375 students, respectively. The Düsseldorf Orthorexia Scale and the Eating Disorder Inventory were used in the present study. ON prevalence rates of 2.3% and 2.9%, respectively, are found in the Spanish and Polish samples. Compared to Polish students, Spanish university students reported increased drive for thinness and lower body dissatisfaction, lower level of ineffectiveness and lower level of interpersonal distrust. ON was positively related to drive for thinness, bulimia, body dissatisfaction, perfectionism interoceptive awareness (in both Spanish and Polish students) and ineffectiveness (in Spanish students). Our findings suggest that ON significantly overlaps with ED symptoms, which is in line with recent studies. Longitudinal studies are needed to assess how ON develops in a sample of young adults and whether it develops in isolation of or in parallel with ED pathology.

Examination of Energy Balance, Eating Disorder Risk, and Pathogenic Behaviors among Athletic Trainers

CONTEXT: Research exists on energy balance (EB) and eating disorder (ED) risk in physically active populations and occupations by settings, but EB and ED in athletic trainers (ATs) has not been investigated. OBJECTIVE: To assess ATs' energy needs, including macronutrient profile, and to examine ED risk and pathogenic behavior between sex (males, females), job status (part-time=PT-AT; full-time=FT-AT) and setting (college/university, high school, non-traditional). DESIGN: Cross-sectional and descriptive. SETTING: Free-living in job settings. PARTICIPANT: ATs (n=46; males PT-AT n=12, males FT-AT n=11; females PT-AT n=11, female FT-AT n=12) in Southeastern United States. MAIN OUTCOME MEASURES: Anthropometric measurements (age, height, weight, body composition), resting metabolic rate (RMR), energy intake (EI), total daily energy expenditure (TDEE), exercise energy expenditure (EEE), EB, macronutrients (carbohydrates, protein, fats), Eating Disorder Inventory-3, and the Eating Disorder Inventory-3 Symptom Checklist. RESULTS: Majority (84.8%, n=39) had ED risk, with 26.1% (n=12) engaging in at least 1 pathogenic behavior, 50% (n=23) in 2 pathogenic behaviors, and 10.8% (n=5) in more than 2 pathogenic behaviors. 82.6% of ATs (n=38) presented in negative EB (EI&lt;TDEE). Significant differences were found for sex and job status for RMR (F(1,45)=16.48, P=.001), EI (F(1,45)=12.01, P=.001), TDEE (F(1,45)=40.36, P&lt;.001) and EEE (F(1,38)=5.353, P=.026). No significant differences were found in EB, sex and job status (F(1.45)=1.751, P=.193); Chi-squared analysis revealed no significant differences between ATs' sex and EB [χ2(1,46)=0.0, P=1.00] and job status and EB χ2(1,46) = 2.42, P= 0.120]. No significant difference found between Daily Reference Intakes recommendations for all macronutrients and sex or job status. CONCLUSIONS: Athletic trainers experience negative EB, similar to other high-demand occupational professions. Regardless of sex or job status, ATs have a high ED risk and participate in unhealthy pathogenic behaviors. The physical and mental concerns associated with these findings indicates a need for interventions targeted toward ATs' health behaviors.