CORRESPONDING AUTHOR: Amy Thompson, PhD, University of Toledo, Toledo, OH, 43606; amy.thompson4@utoledo.edu Background: Lifestyles that are associated with metabolic syndrome (MS) are affected by individual health locus of control (HLC). Objective: Association between HLC and the characteristics of MS were examined. Subjects and methods: Subjects were 200 people who underwent medical checkups. HLC was measured with 11 questions and subjects were asked about their motivation to improve lifestyle and the desire to receive health guidance. The MS components (i.e., blood pressure, waist circumference, glucose, triglycerides, and high-density lipoprotein cholesterol) were measured. The subjects were graded into 4 levels by the number of MS components (i.e.,0,1,2,3>). We reviewed the association between the levels of MS and HLC. Result: There were no significant differences in HLC between the levels of MS. In response to the item "I become sick because of luck of appropriate physical activity or diet", Level "3>" showed the highest tendency toward internals. In response to the item "I think I have reasons to be sick", Level "0" showed the highest tendency toward internals. Level "0" was significantly less willing to receive health guidance and had lower motivation to improve lifestyle than other levels. Among females, the higher the MS level was, the stronger the motivation to improve lifestyles. Among males, Level "2" had the highest motivation. Discussion: Those with Level "0" appear to make decisions themselves and they do not need to improve their lifestyles because they have no components of MS. However, our research showed that they have high awareness of not only preventing MS but also overall health. It is a problem that male with Level "3>" had lower motivation to improve lifestyle, possibly due to resignation or denial. We should raise awareness of overall health for the prevention of MS onset and encourage people who already have MS to make lifestyle changes. Introduction: In Finland, all men are liable to military service and over 80% of each age group complete it. Main meals complying nutrition recommendations of the Defence Forces are served but snacks are available for purchase during free time. Research on conscripts' eating habits is limited, suggesting they favor energydense and nutrient-poor foods such as fast food, pastries, soft drinks and confectionery. Aim: To study conscripts' eating habits before and during military service. Materials and Methods: In 2007, data on eating habits of 290 17-21-year old men were collected by self-administrated questionnaire at two garrisons (in the south and in the north) and at two arrivals (winter, summer) 1 month prior to beginning of military service and at 6 months of service. Three indexes were formed to describe main dimensions of eating habits: Fibre Index (FibI), Sugar Index (SI) and Fat Index (FatI). Results: At six months of service, the weekly consumption frequencies of rye bread (p=0.02) and fruit and berries (p=0.05) increased. This explained the increase in FibI (change 0.65±5.1, p=0.03). Weekly consumption frequencies of French fries (p= 0.001) and hamburgers and hot dogs (pp=0.005) decreased. However, this did not result in a significant temporal change in FatI. Finally, weekly consumptions of sweet pastries (p=0.002), desserts (p<0.001), sweets (p<0.001) and chocolate (p=0.01) increased. This resulted in a significant increase in SI (change 2.0±4.8, p<0.001). This change was greater (p<0.001) from summer to winter compared to winter from summer, and also higher (p=0.02) in the south than in the north. Conclusions: These results indicate that during military service men prefer eating both fibre and sugar containing foods. This may be due to an overall increase in energy intake. Still, the increase of sugary foods offers an opportunity to intervene also as seasonal and regional differences exist. treatment. Although 15 % showed negative attitudes to the treatment, their BMI and weight were reduced also. CONCLUSION: The cognitive-behavioral group therapy seems to be an adequate strategy to modify irrationals believes and eating behavior, which could derive in an excessive caloric intake and sedentary life. Research suggests that athletes do not have a higher prevalence of disordered eating behaviors compared to the general population however, their risk of sport related injury is increased when poor nutritional behaviors are present. Project Ignite is a nutrition education program designed to educate 250 collegiate athletes about eating for sport performance and avoiding injury associated with poor nutritional intake. Additionally, data such as body mass index, body-fat (measured with a Tanita scale), and knowledge and perceptions of sport nutrition was measured. All participants of this program completed the EAT 26 survey which has been found to be valid in measuring disordered eating. This presentation will outline 3 case studies of collegiate athletes with disordered eating. For confidentiality reasons all names of participants have been changed. Case studies will include 2 athletes with extremely low body-fat (4% for female; 2% male) and 1 athlete with extremely high body-fat (50% female). These case examples will discuss the need for health and nutrition policies that guide student-athlete participation in their respective sports when disordered eating is present. Moreover, there is a need for health education regarding proper nutrition for the athlete, coaches, team physicians, and athletic trainers. Further, many universities do not have polices that mandate when a collegiate athlete should be evaluated to determine the extent of any existing disordered eating behaviors or health conditions associated with their nutritional intake. When it is determined that an athlete has disordered eating behaviors or health risks there should be policies in place to determine player eligibility. The Live Healthy Work Well (LHWW) project examines whether access to life coaches, pharmacists, and other supports can improve health and prevent the loss of employment and independence due to diabetes-related complications. This poster summarizes treatment participant (n=128) usage and perceptions of intervention components. Data sources include: enrollment survey, service utilization records, satisfaction surveys, and voluntary focus groups. Six months into a one-year intervention period, 119 (93%) participants met with a life coach and 98 (77%) met with a pharmacist. Participants (n=97) responded to a survey assessing satisfaction and perceived effectiveness of the intervention model. Participants expressed satisfaction with life coaching and 91% (n= 68) of life coach comments were positive. Of pharmacist comments, 52% (n=66) were positive and 29% were negative. A second survey revealed that 85% (n=66) agreed/strongly agreed that coaching helped improve health, employment, and other areas of life; 75% agreed that goal setting helped them make positive changes and to continue to set goals; and 94% would recommend coaching to others. Sixty-eight percent (n=65) agreed/strongly agreed that pharmacists helped them find solutions to diabetesrelated problems and 69% agreed that sessions with a pharmacist were beneficial and would recommend pharmacist counseling to others. Treatment participants (n=47) attended voluntary focus groups which were audio recorded, transcribed, and coded to identify emergent themes. Participants were satisfied with support, scheduling, and goal setting with life coaches. Participants suggested that LHWW provide individualized approaches to pharmacist counseling, social supports and coordinated services. Scheduling with pharmacists and additional service providers was perceived as a barrier to program participation. Findings can be used to guide the development of future programs and health initiatives for employed adults with diabetes and results may be generalizable to employed diabetics across a range of ethnic groups including Asian and Pacific Islanders. measures 3 aspects of eating behavior, cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE). Objective: To identify psychological factors that predict weight regain. Methods: Observation study after an intervention in which 32 obese female (mean age; 50±8 years) lost weight during an 8-week weight loss intervention program and were followed for a year. TFEQ-R18 was measured by dieticians 3 times at baseline and 8 weeks during the program and at 1 year after the program that included use of meal replacement drinks (diet's; SUNTORY WELLNESS LTD.) under the guidance of dieticians and counseling sessions by dieticians focused on skills of coping with hunger. Enrollment at Kyoto Medical Center occurred November, 2006 and intervention, January, 2007 Previous research has established demographic differences in metabolic control and chronic disease complications, yet few studies have examined differential demographic effects on psychosocial and disease care correlates of A1c. Group comparisons and regression analyses were conducted to investigate demographic differences in biological, psychosocial and disease care factors in youth with type 1 diabetes. Participants included 349 youth, aged 9 -17 years (79.9% Caucasian, 71.3% lived with two biological parents, M SES=46.24), recruited from endocrinology clinics in two major metropolitan areas. The 24-Hour Diabetes Care Interview was administered to assess specific disease care behaviors and a test of diabetes knowledge was used to measure parent and child disease information. Independent sample t-tests confirmed commonly reported ethnic differences in A1c, where African American youth had significantly higher A1c levels (M=8.84%) compared with Caucasian youth (M=8.25%). African American youth reported poorer disease care behaviors including fewer intensive insulin regimens, less frequent blood glucose monitoring and poorer dietary composition of carbohydrates and fats. Additionally, African American youth and parents had lower disease knowledge scores than Caucasian youth and parents. However, hierarchical multiple regression analyses that controlled for confounding influences of SES and parent marital status revealed most disease care differences attributed to ethnicity were better explained by SES. The only significant ethnic group difference that remained was a difference in diabetes knowledge; ethnicity explained an additional 8.3% variance and emerged as a significant predictor of diabetes knowledge (β=−.308, p<.001) after controlling for SES and marital status. Results may inform future interventions for youth at risk of poor metabolic control; lower SES families may benefit from careful attention to diabetes knowledge to facilitate successful implementation of diabetes care. This study examined the relation between abnormal eating behavior, body mass index (BMI), and body image dissatisfaction in 554 female university students (Mean age: 19.22, SD: 1.01). Measures included demographic data, the Body Image Dissatisfaction Scale (BIDS) (Yamatsuta & Nomura, 2007) , and the Abnormal Eating Behavior Scale (AEBS) (Yamatsuta, Nakai, & Nomura, 2009) . BIDS measures the degree of body image dissatisfaction. It contains three lower-rank factors (divided into high and low groups on the basis of one's mean factor score) including "dissatisfaction with body plumpness," "dissatisfaction with other people's opinions of one's own body," and "dissatisfaction with one's own face." AEBS comprises three lower-rank factors including "uncontrollable intake of excessive food," (e.g., binge eating) "purging behavior," and "control of food intake" (e.g., diet behavior). According to the BMI classification, based on that of the Japan Society for the Study of Obesity (1994), 102 subjects (18.41%) were thin, 406 (73.29%) were normal, and 46 (8.30%) were obese. First, we examined the relation between the BMI and the BIDS and AEBS factor scores; a single-factor analysis of variance of factor scores was conducted on each BMI classification. The results showed a significant main effect of BMI's class in all the factor scores excluding the "uncontrollable intake of excessive food" and "purging behavior" factor scores, and we can infer that the latter two factors have little relation to the BMI levels. Thus, abnormal eating behavior that resembles an eating disorder might have little relation to the actual body type. Second, we examined the relation between the "uncontrollable intake of excessive food," "purging behavior," and the BIDS factor scores; a t test on the former two factor scores from among the BIDS lower-rank factor group was conducted. The results indicated high scorers on these two factors in the high "dissatisfaction with body plumpness" group (t(531) = |5.08|, p<.01; t(531) = |2.14|, p<.05); hence, purging behavior might not be only a consciousness of other people's opinions of one's own body but also the problem of self. This work was supported by KAKENHI (20730455). Background: Co-Creating Health (CCH) is a national programme commissioned by The Health Foundation, (http://www.health.org. uk/) which aims to embed self management support within mainstream health services in order to achieve improvements in long term health (LTH) conditions patients activation. One of the ways CCH aims to increase activation is through the provision of a clinician and lay delivered self-management programme (SMP). The SMP is a condition specific programme for patients with either depression, pain, COPD or diabetes. The SMP comprises 7 weekly 3 hour sessions during which patients receive training in problem solving, relaxation and collaborative agenda setting, goal setting and follow up in clinical encounters. Aims: The aim was to determine whether patients report an increase in using a range of self-management skills after attending the SMP Methods: The Health Education Impact Questionnaire (hei-Q) is a generic eight scale questionnaire designed to measure selfmanagement skills/ outcomes associated with attending health education/self-management courses. Participants are asked to rate items on a 4 point likert scale ranging from "strongly disagree" (1) to "strongly agree" (4). Higher scores represent higher levels of self-management skills. Thirty patients completed the hei-Q prior to and 6 months after attending the SMP. Findings: After attending SMP patients reported a significant improvements in 4/8 subscales: Positive and active engagement in life; Emotional well-being; Constructive attitudes and approaches (all p=<0.01) and Skill and Technique Acquisition (p=0.03). Discussion: Patients reported higher levels of self-management skills after attending the SMP. Further research involving larger sample sizes will determine whether greater use of self-management skills has a positive impact on health-related quality of life.