RESUMO
BACKGROUND: Few measures have been validated to screen for eating disorders (ED) in youth with chronic pain. We conducted confirmatory (CFA) of two established factor structures of the Eating Attitudes Test-26 (EAT-26) in a sample of youth with chronic pain attending an intensive interdisciplinary pain treatment (IIPT) program and examined the validity of the best-fitting model in predicting ED diagnoses in this sample. METHODS: Participants were 880 adolescents (M age = 16.1, SD = 2.1) consecutively admitted into an IIPT program who completed the EAT-26 upon admission. CFA was conducted and in the case of inadequate fit, EFA was planned to identify alternative models. Factors of the best-fitting model were included in a logistic regression analysis to predict ED diagnoses. RESULTS: The TLIs (0.70; 0.90), RMSEAs (0.09; 0.07) and CFIs (0.73; 0.92) suggested poor fit of one model and adequate of the second model. Goodness of fit indices from EFA (TLI:0.85, RMSEA:0.06) did not outperform the fit of the second CFA. As such, the second model was retained with the exception of one factor. The items loaded onto a 16-item, five factor model: Fear of Getting Fat, Social Pressure to Gain Weight, Eating-Related Control, Eating-Related Guilt and Food Preoccupation. Based on chart review, 19.1% of the participants were diagnosed with an eating disorder. Logistic regression analyses indicated the new 16-item measure and Fear of Getting Fat, significantly predicted an ED diagnosis that did not include avoidant restrictive food intake disorder (ARFID) and Social Pressure to Gain Weight significantly predicted a diagnosis of ARFID. CONCLUSIONS: An alternative 16-item, 5-factor structure of the EAT-26 should be considered in screening for EDs with youth with chronic pain.
RESUMO
Given the numerous barriers to accessing child and adolescent eating disorder treatment, there is a need for innovation in how this care is delivered. Primary care-based eating disorder treatment has established proof-of-concept, yet it is unclear whether this model can bridge the treatment-access gap. This retrospective chart review study compared demographic and illness characteristics of 106 adolescents (M age = 15.1 years) SD = 1.8 consecutively evaluated in a primary care-based eating disorder clinic with 103 adolescent patients (M age = 15.2 years) SD = 2.2 seen consecutively in a specialty eating disorder clinic at the same medical center. Relative to adolescents in specialty care, those in the primary care group presented at a significantly higher BMI percentile, had less weight suppression, a shorter illness duration, lower rates of amenorrhea and lower scores on the EDE-Q Dietary Restraint subscale. In addition, more patients in the primary care group identified as non-white and had government/public assistance insurance compared to those in the specialty group. The results suggest that, compared to traditional specialty care clinics, embedded eating disorder treatment in primary care may reach a more racially and socioeconomically diverse group of adolescents when they are earlier in the course of their illness. Future research determining the relative effectiveness of this model as compared to interventions delivered in specialty care is needed.