ANZOS 2013 abstracts p = 0.4) or PI (2.7 ± 0.0 vs 2.7 ± 0.0, p = 0.53) in the HE vs LGI groups respectively. The prevalence of infants who were small or large for gestational age was similar in both groups (p = 0.81). In multivariate regression analysis, dietary glycaemic load (GI x carbohydrate content) was the only significant dietary predictor (p = 0.046) of the primary outcomes after adjustment for type of delivery (spontaneous, Caesarean or instrumental) and gender, but explained less than 1% of the variation. A low intensity dietary intervention in pregnancy with either a low GI or conventional healthy diet does not influence pregnancy outcomes in healthy women. http://dx.doi.org/10.1016/j.orcp.2013.12.569 71 Fitness, function, activity and screen time—–Can benefits from a 12 week exercise program be maintained? The RESIST study Megan L. Gow 1,2,∗ , Nancy van Doorn 3,4 , Mandy Ho 1,2 , Carolyn R. Broderick 3,4 , Louise A. Baur 2,5 , Chris T. Cowell 1,2,5 , Sarah P. Garnett 1,2,5 1 Institute
of Endocrinology and Diabetes, The Children’s Hospital Westmead, Westmead, NSW, Australia 2 Discipline of Pediatrics and Child Health, University of Sydney, Sydney, NSW, Australia 3 The Children’s Hospital Institute of Sports Medicine, The Children’s Hospital Westmead, Westmead, NSW, Australia 4 School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia 5 Kids Research Institute, The Children’s Hospital Westmead, Westmead, NSW, Australia Introduction: Adolescent obesity is associated with poor fitness and decreased capacity to perform functional tasks. This study examined the effect of a structured exercise program as part of a lifestyle intervention on fitness, physical function, physical activity and screen time. Methods: Participants were obese 10—17 year olds, with insulin resistance participating in a 12 month RCT, known as RESIST. The primary aim of RESIST was to determine the optimal dietary macronutrient content to improve insulin
e35 sensitivity. As part of RESIST, 99 adolescents participated in two supervised exercise sessions per week for 12 weeks. Fitness (peak oxygen uptake) and physical function (exercise time and anaerobic threshold) were measured by gas analysis during the Bruce treadmill protocol at baseline, post intervention and at follow up 6 months after completion of the exercise intervention. Physical activity and screen time were measured by a validated questionnaire (CLASS) and body composition by dual energy X-ray absorptiometry. Results: At baseline peak oxygen uptake (VO2 max) was low (estimated marginal mean ± SEM = 23.8 ± 0.5 mL/kg/min), as was exercise time and anaerobic threshold, however, all improved post intervention by 5.8% [95%CI: 0.8—11.3], 8.5% [95%CI: 3.8—13.3] and 19.7% [95%CI: 10.4—29.0], respectively. These improvements were maintained at follow up. Compared to baseline, post intervention physical activity levels increased by 21 min/day [95%CI: 7—35] and screen time decreased by 48 min/day [95%CI: 17—78] but had returned to baseline levels by follow up. Decreased percentage body fat was associated with increased peak oxygen uptake (r = −0.24, P = 0.032) and increased exercise time (r = −0.30, P = 0.008). Conclusions: A structured exercise program can lead to sustainable improved aerobic fitness, including improved exercise tolerance, facilitating functional task performance. However, fitness levels were still low, warranting further investigation into optimal exercise interventions and strategies to improve physical activity and screen time long-term. http://dx.doi.org/10.1016/j.orcp.2013.12.570