Oral Abstracts content. Differences between BMI groups and food purchase influences and food intake behaviour were found, with obese individuals more likely to regularly add salt to their food, consider healthy sized portions important in their purchase decision, and judge foods according to their carbohydrate content and glycaemic index. Overweight individuals were more likely to consider ease of preparation important to their purchase decision, and judge foods on fat content. Healthy weight individuals were more likely to consider variety and foods that help reduce the risk of nutrition-related disease important to their purchase decision, and more likely to judge foods on sugar, protein and saturated fat content. This study contributes understanding of differences between BMI groups and their food purchases. Findings suggest a need to increase public awareness of the relationships between diet and disease, improve understanding of food label and packaging information, and promote this awareness and understanding differentially between BMI, gender and age groups. doi:10.1016/j.orcp.2010.09.097 O31
S49 self-report measure of eating disorder pathology consisting of 3 sub-scales: Drive for Thinness (DT), Bulimia (B), and Body Dissatisfaction (BD), embedded within the Eating Disorder Inventory-3 (EDI-3). Participants completed the EDI-3 at pre-treatment, post-treatment (12 weeks), and at 6-month, 12month and 24-month follow-ups. Two factor, mixed design ANOVAs were used separately for the 3 subscales (both using complete data sets and intention to treat data) that revealed a consistent pattern of results. Both the intervention and the waitlist groups scores on the subscales significantly decreased over the treatment period, with a larger decrease being observed in the treatment group. The decreases tended to hold over the follow-up period. The findings of this research indicate that the CHOOSE HEALTH 2 lifestyle intervention program targeted at overweight and obese adolescents did not increase eating disorder pathology. Moreover, as the comparison group also experienced a decline in associated risk behaviours, it appears as though introducing overweight and obese adolescents to intervention programs may have a positive impact, regardless of whether treatment is administered. doi:10.1016/j.orcp.2010.09.098
Effects of an overweight and obesity intervention on adolescent eating disorder risk profile
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M. Trajkovska 1,∗ , J. Walkley 1,2 , L. Brennan 3 , K.M. Greenwood 1 , S.F. Fraser 4 , K. Greenway 5
Diet and physical activity behaviours among overweight adolescents with accurate and inaccurate self-reported weight perception
1 School
A. Khambalia ∗ , L. Hardy, A. Bauman
of Health Sciences, RMIT University, Australia 2 Australian Technology Network Centre for Metabolic Fitness, Australia 3 School of Psychology and Psychiatry, Monash University, Australia 4 School of Exercise and Nutrition Sciences, Deakin University, Australia 5 School of Medical Sciences, RMIT University, Australia There is concern that intervention programs targeted at overweight and obese adolescents may inadvertently manifest in adverse outcomes by creating body image and weight concerns, and thus fostering eating disorders. This study examined whether the CHOOSE HEALTH 2 research program; a cognitive behavioural therapy (CBT) treatment program for overweight and obesity, increased eating disorder risk profile in an adolescent sample. 114 overweight or obese adolescents aged 11 to 18 years participated in this study. Eating disorder risk profile was assessed through completion of the Eating Disorder Risk Composite, a
Background: In NSW approximately one in four teenagers are overweight. While accurately perceiving oneself as overweight has been associated with greater motivation to change lifestyle behaviors, research has found that adolescents often misperceive their own weight status. Objective: The aim of this study is to examine misperception of overweight status among adolescents and to compare diet and physical activity (PA) behaviours between accurate and inaccurate perceivers. Methods: NSW data from Supplement B of the Secondary Schools Health Behaviour (SSHB) Survey, 2005 (n = 2765) were examined. Where complete data was available, self-reported weight and height (n = 1538) was used to calculate BMI percentile for age and sex. Overweight respondents (BMI > 85th percentile) who perceived themselves as ‘too heavy’ were classified as accurate perceivers (n = 152). Overweight respondents who perceived themselves as ‘about right’ or ‘too thin’ (n = 171) were classified as misperceivers.