Participants (n=120) were adults from Brisbane, Australia, aged 18 to 70, diagnosed with type 2 diabetes at least 3 months prior, with sub-optimal glycemic control (Haemoglobin A1C (HbA1c) ≥ 7.5%). Participants (79 males, mean age=57.47 years, SD= 8.26) were randomised to a usual care group (n=60) or to the intervention group. For 6 months, participants in the latter group upload their past week's blood glucose levels to the TLC system's database via a cell phone link prior to calling the system weekly to "converse" on one or more of the following topics: blood glucose monitoring, nutrition, physical activity and medication taking. Primary outcomes are HbA1C and quality of life at 6-and 12-month follow-up. Secondary outcomes include self-care behaviours and measures of depression and social support. Baseline HbA1C ranges from 7.5 to 15.0% (M=8.8, SD=1.4). Participants' average BMI is 33.62 (SD=6.89); 56.7% meet the Australian physical activity recommendations; 82.5% and 65.8% have a normal score on the HADS depression and anxiety scales respectively. The average duration of a call to the TLC system is 10.77 (SD=1.60) minutes and to date participants have made on average 81.7% of their weekly calls. The presentation will include 6-month follow-up Results: This study is examining the effectiveness of a telehealth program targeting essential diabetes self-care behaviours and holds potential for addressing barriers faced in the delivery of long-term diabetes self-management support. Background: Interventions involving peer support offer a promising approach for providing diabetes self-management support (DSMS) that is ongoing, culturally responsive, and low cost. Purpose: The objectives of this study were (1) to pilot a program training peer leaders (PLs) to facilitate ongoing, empowermentbased, DSMS interventions, (2) to determine the feasibility of graduating PLs who achieve the pre-established competency criteria, and (3) to assess program satisfaction. Methods: The Peer Leader Training (PLT) pilot program recruited eight African-American adults. The 12-week program utilized a wide variety of instructional methods and addressed three major components including self-management education, communication skills, and facilitation skills. To graduate, participants were required to meet the pre-established criteria for four competency domains including diabetes-related knowledge, active listening skills, empowerment-based facilitation skills, and self-efficacy. Participants were given three attempts to pass all four domains. We also assessed program satisfaction and perceived efficacy of training using qualitative (i.e., focus group) and quantitative approaches. Results: All participants achieved the criteria for all four competency domains. On the first attempt 75%, 75%, 63%, and 75% passed the diabetes knowledge, empowerment-based facilitation skills, active listening skills, and self-efficacy, respectively. Participants who failed at least one competency domain on the first attempt successfully passed on the second attempt. Participants were generally satisfied with the program length, training session length, balance between content and skills development, and preparation for leading group and individual-based support activities. Conclusion: Findings suggest that it is feasible to train and to graduate PLs with the diabetes-related knowledge, communication skills, and facilitation skills needed to lead ongoing DSMS interventions. Subsequent research should examine the impact of this peer-led DSMS model on improving patients' diabetes-related health outcomes. Background: Obesity continues to present a major public health concern (NHS, 2008). This study aimed to explore the relationship between body mass index (BMI) and the affective states: happiness, anxiety and depression, alongside self efficacy and eating behaviours. It further aimed to identify if these components influence overeating behaviour, a factor that is empirically linked to a high BMI (Macht, 2008). Method: Data was collected from 104 adults (76% female), mean age 38.48 (SD=12.47) years, who completed questionnaires which measured happiness, depression, anxiety, generalised self efficacy, dietary restraint, emotional eating and binge eating. Height and weight were also taken to calculate BMI, which ranged from 16.41-44.38 with a mean BMI of 26.92 (SD=5.98). Results: Findings confirm that there are significant relationships between personal control, affective states, eating behaviours and BMI. Generalised self efficacy and happiness were revealed as predominant psychological factors, correlating with all variables (p<.001). Controlling for age and gender, generalised self efficacy explained the variance in emotional eating by 16%, binge eating by 12% and BMI by 19%. Dietary restraint accounted for 66% of the variance in binge eating behaviour and was also the highest predictor of BMI (R 2 =.45), with depression explaining a further 9%. Finally, investigating the influence of emotional eating, negative affect (R 2 =.32) and dietary restraint (R 2 =.07) were revealed to be the most significant predictors. Conclusion: Evidence presented here highlights the importance for behavioural medicine to consider the influence of self efficacy and affect when tailoring weight loss interventions, while also exercising caution over the negative influence of dieting behaviour. International Health Institute, Brown University, Providence, RI.