body that was thinner than their actual body (FRS 18-42 M=-1.33, SD=1.72; FRS 14-32 M=-1.97, SD=1.23) and women with AN desired a body close to their actual weight (FRS 18-42 M=0.61, SD=0.61; FRS 18-42 M=0.36, SD=1.29). In the FRS 14-32, participants generally wanted a thinner body than in the FRS 18-42 (F(1)=23.54, p b .001). Conclusions: Our results suggest that the range of FRS can influence a) accuracy in identifying one’s weight and b) the desired weight. Different strategies, such as “comparing body features” versus “placing oneself in a range” could account for these differences. When interpreting FRS, the provided range should always be taken into account. doi:10.1016/j.jpsychores.2017.03.270 64 Assessing body image disturbance in patients with anorexia nervosa using biometric self-avatars in virtual reality: Attitudinal components rather than visual body size estimation are distorted S. Mölbert a , A. Thaler b , B. Mohler b , S. Streuber c , M. Black d , H.O. Karnath e , S. Zipfel a , K. Giel a a Medical University Clinic, Tübingen, Germany b Max Planck Institute for Biological Cybernetics, Tübingen, Germany c École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland d Max Planck Institute for Intelligent Systems, Tübingen, Germany e University Clinic, Tübingen, Germany Aims: Anorexia nervosa (AN) is a serious eating disorder that goes along with underweight and high rates of psychological and physical comorbidity. Body image disturbance is a core symptom AN, but as yet distinctive features of this disturbance are unknown. This study uses individual 3D-avatars in virtual reality to investigate the following questions: (1) Do women with AN differ from controls in how accurately they perceive their body weight and (2) in what body weight they desire? Method: We investigated n=24 women with AN (body mass index (kg/m 2 , BMI) M=15.17, SD=1.47) and n=24 healthy controls (BMI M=22.07, SD=1.85). Based on a 3D body scan, we created individual avatars for each participant. Each avatar was manipulated to represent +/5%, 10%, 15% and 20% of the partici- pant’s weight. Avatars were presented on a stereoscopic life-size screen. Using an 1 Alternative Forced Choice (1AFC) task and a Method of Adjustment (MoA) task, participants were asked to identify/adjust their correct body weight and their desired weight. Additionally, eating pathology, body dissatisfaction and self-esteem were assessed. In a control experiment, we repeated all tasks with an avatar that had the participant’s body shape, but another person’s look. Results: Women with AN and controls underestimated their current weight, with a trend that women with AN underestimated even more than controls (1AFC: AN M=-7.38%, SD=4.71; Con M=- 3.80%, SD=5.02; F(1,45)=6.35, p b .05; MoA: AN M =-5.94%, SD=5.81; Con M=-3.19%, SD=4.89, F(1,45)=3.09, p=.086). The discrepancy between desired and actual body weight suggested that both groups wanted to lose weight, and in percent of own body weight, controls even more so (AN M=-2.11%, SD=8.12; Con M=- 9.08%, SD=6.13, F(1,45)=11.10, p b .01). Of note, the average desired body of the control group still had normal weight while the average desired body of women with AN had a BMI of 14.67, which would correspond to extreme AN. Correlation analyses revealed that desired body size, but not accuracy of body size estimation, was associated with eating disorder symptoms. The control experiment generally yielded the same result pattern. Conclusions: Our results contradict the widespread assumption that patients with AN overestimate their body size. Rather, they illustrate how fundamentally they prefer extremely thin bodies. According to our observations, clinical interventions should aim at helping patients with AN to change their desired weight. doi:10.1016/j.jpsychores.2017.03.271 65 Pre-transplantation psychosocial status of candidates for liver or kidney transplantation and its correlation with post-transplantation mental health and adherence to treatments A.A. Nejatisafa, M. Banihashemi Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran Aims: The aim of this study was to investigate the role of pre- transplantation psychosocial status of candidate for kidney or liver transplantation in post-transplantation mental health and adherence to treatments. Methods: A cohort of 266 patients with renal or liver failure whom were considred as condidates for transplantation, enrolled in the study, consecutively. Hospital Anxiety and Depression Scale(HADS), Psychosocial Assessment of Candidate for Transplantation(PACT), SF-36 and Socioeconomic Status Questionnaire(SESQ) were implemented to evaluate patients mental health, preparedness for transplantation, quality of life, and socioecenomic status, respectively. Three and six month after transplantation, the participants completed the HADS, SF- 36 again and also Mirosky-Green questionnaire(M-G Q) for evaluation of treatment compliance. Results: Eighty seven of participants undervent organ transplan- tation during the next 2 years after initial evaluation. There was a significant correlation between HADS score before and after transplantation (p b 0.05). Total scores of PACT and M-GQ were also significantly correlated (p b 0.05). There was a significant correlation between SES and treatment adherence(p b 0.05). Conclusion: Socioeconomic status and PACT score could be considered as good predictors for treatment compliance at least for six month after kidney or liver transplantation. doi:10.1016/j.jpsychores.2017.03.272 66 Development and implementation of psycho-social LT-ePROMs (Electronically-captured Patient-reported outcome measures for Liver Transplant) S. Niazi, A. Keaveny, A. Vasquez, T. Schneekloth, A. Spaulding, L. Nordan, T. Rummans, C.B. Taner Mayo Clinic, Jacksonville, United States Aims: Liver transplant (LT) programs track graft and patient outcomes closely but are not required to assess the quality of life (QOL) of LT recipients. New tools need to be developed to address issues pertaining to QOL. We developed LT e-PROMS to address this gap. Methods: A multidisciplinary team developed LT-ePROMs com- prising of a baseline (Intake-QNaire) and follow-up questionnaire (F/ Abstracts 162