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Ultrasound imaging in sports medicine
S8
Abstracts / Journal of Science and Medicine in Sport 12S (2009) S1–S83
(n = 115; 14–18 years) had their bra fit and design knowledge and bra wearing behaviour assessed by a self-administered survey and Bra Fit Assessment Test (BFAT). The experimental group (n = 54) were given an educational booklet related to good bra fit and bra design. The control and experimental groups were retested at 1 and 4 months postintervention. Results: Bra knowledge between the groups did not differ significantly pre-intervention (p < 0.01; experimental = 41%; control = 40%). However, post-intervention, the experimental group significantly (p < 0.01) improved their bra knowledge, with a mean mark of 66% compared to 44% in the control group. Similarly, at pre-intervention, only 12.5% (experimental) and 20% (control) passed the BFAT with only 19% (experimental) and 27% (control) deemed to be adequately supported. Post-intervention, the experimental group showed significant (p < 0.01) improvement, with 56% passing the BFAT compared to 15% of the control group, and 51% of experimental subjects deemed to be sufficiently supported compared to 22% of the control group. Conclusion: Adolescent females were found to have poor bra design and fit knowledge and a poor ability to fit themselves in a well-fitting supportive bra, which was appropriate to their physical pursuits and breast size. A simple educational intervention was found to be effective in improving both the bra knowledge and bra wearing behaviour of these females and may encourage the maintenance of physical activity and hence health of this group as they age. doi:10.1016/j.jsams.2008.12.020 WORKSHOP 20 Ultrasound imaging in sports medicine G. Murrell 1,∗ , L. Briggs 2,∗ , R. Whiteley 3,∗ 1 Orthopaedic
Research Institute, St. George Hospital, Sydney, Australia 2 Premier Orthopaedics and Sports Medicine, United States 3 The University of Sydney, Australia The aim of this series of workshops is to present the latest information regarding the use of ultrasound in the diagnosis and management of sports injuries. The workshops will be held in the trade display area, spread over the conference during lunch and tea breaks and will target specific areas of interest to the audience. Ultrasound machines will be utilized to demonstrate specific techniques, with the opportunity for audience participation in small groups. The following specific areas will be covered:
- Humeral torsion in overhead athletes: Rod Whiteley - Ultrasound in a general sports practice: Gavan White - Sclerotherapyfortendinopathy: Lisa Briggs doi:10.1016/j.jsams.2008.12.021 21 Classification of physical activity in children using accelerometers L. McGrath ∗ , E. Hinckson Auckland University of Technology, New Zealand Purpose: To evaluate accelerometer classifications of 1 min epoch activity levels and determine if 15 s epochs more accurately code typical primary school children’s short duration (3–15 s) high intensity physical activity into the vigorous category. Method: In a sample of n = 79 children (age 9.7 ± 0.36), 7 day accelerometer counts from raw data CSV files were classified into physical activity categories using programmed Excel spread sheets. Larger accelerometer counts accumulate for higher intensity physical activity over an epoch of time (15 s or 1 min) and cut offs at discrete counts categorise physical activity to sedentary (<150), light, moderate or vigorous (>5250). Results determined using Puyau et al. (2004) cut offs, previously validated when children performed structured free living activities, are compared by epoch and matched against results using Actical software energy expenditure prediction (EEP) equation cutoffs. Results: There is an underreporting of daily vigorous physical activity (50%) and sedentary behaviour (20%) due to the averaging effect of 1 min compared to 15 s epochs. Actical EEP equations introduce classification errors by inexplicably classifying low accelerometer counts (0–149) to either sedentary or light activity. Conclusions: Discrete accelerometer counts using Puyau et al. (2004) cuts offs and 15 s epochs more accurately classify physical activity levels of primary school children than Actical software using EEP equations. This more precise description of children’s physical activity better quantifies the dose–response relationship between physical activity and health outcomes, compliance with physical activity guidelines, the effectiveness of intervention programs and correlates of physical activity. doi:10.1016/j.jsams.2008.12.022 22 Who meets adolescent activity guidelines? A market segmentation approach T. Olds ∗ , A. Esterman
- Diagnosis of shoulder pathology: George Murrell and Lisa Briggs - Shoulder injection techniques: Karin Peters and Lisa Briggs
University of South Australia, Australia Purpose: Adolescents are “consumers” of physical activity and sedentary behaviours. This study used a market
Abstracts / Journal of Science and Medicine in Sport 12S (2009) S1–S83
(n = 115; 14–18 years) had their bra fit and design knowledge and bra wearing behaviour assessed by a self-administered survey and Bra Fit Assessment Test (BFAT). The experimental group (n = 54) were given an educational booklet related to good bra fit and bra design. The control and experimental groups were retested at 1 and 4 months postintervention. Results: Bra knowledge between the groups did not differ significantly pre-intervention (p < 0.01; experimental = 41%; control = 40%). However, post-intervention, the experimental group significantly (p < 0.01) improved their bra knowledge, with a mean mark of 66% compared to 44% in the control group. Similarly, at pre-intervention, only 12.5% (experimental) and 20% (control) passed the BFAT with only 19% (experimental) and 27% (control) deemed to be adequately supported. Post-intervention, the experimental group showed significant (p < 0.01) improvement, with 56% passing the BFAT compared to 15% of the control group, and 51% of experimental subjects deemed to be sufficiently supported compared to 22% of the control group. Conclusion: Adolescent females were found to have poor bra design and fit knowledge and a poor ability to fit themselves in a well-fitting supportive bra, which was appropriate to their physical pursuits and breast size. A simple educational intervention was found to be effective in improving both the bra knowledge and bra wearing behaviour of these females and may encourage the maintenance of physical activity and hence health of this group as they age. doi:10.1016/j.jsams.2008.12.020 WORKSHOP 20 Ultrasound imaging in sports medicine G. Murrell 1,∗ , L. Briggs 2,∗ , R. Whiteley 3,∗ 1 Orthopaedic
Research Institute, St. George Hospital, Sydney, Australia 2 Premier Orthopaedics and Sports Medicine, United States 3 The University of Sydney, Australia The aim of this series of workshops is to present the latest information regarding the use of ultrasound in the diagnosis and management of sports injuries. The workshops will be held in the trade display area, spread over the conference during lunch and tea breaks and will target specific areas of interest to the audience. Ultrasound machines will be utilized to demonstrate specific techniques, with the opportunity for audience participation in small groups. The following specific areas will be covered:
- Humeral torsion in overhead athletes: Rod Whiteley - Ultrasound in a general sports practice: Gavan White - Sclerotherapyfortendinopathy: Lisa Briggs doi:10.1016/j.jsams.2008.12.021 21 Classification of physical activity in children using accelerometers L. McGrath ∗ , E. Hinckson Auckland University of Technology, New Zealand Purpose: To evaluate accelerometer classifications of 1 min epoch activity levels and determine if 15 s epochs more accurately code typical primary school children’s short duration (3–15 s) high intensity physical activity into the vigorous category. Method: In a sample of n = 79 children (age 9.7 ± 0.36), 7 day accelerometer counts from raw data CSV files were classified into physical activity categories using programmed Excel spread sheets. Larger accelerometer counts accumulate for higher intensity physical activity over an epoch of time (15 s or 1 min) and cut offs at discrete counts categorise physical activity to sedentary (<150), light, moderate or vigorous (>5250). Results determined using Puyau et al. (2004) cut offs, previously validated when children performed structured free living activities, are compared by epoch and matched against results using Actical software energy expenditure prediction (EEP) equation cutoffs. Results: There is an underreporting of daily vigorous physical activity (50%) and sedentary behaviour (20%) due to the averaging effect of 1 min compared to 15 s epochs. Actical EEP equations introduce classification errors by inexplicably classifying low accelerometer counts (0–149) to either sedentary or light activity. Conclusions: Discrete accelerometer counts using Puyau et al. (2004) cuts offs and 15 s epochs more accurately classify physical activity levels of primary school children than Actical software using EEP equations. This more precise description of children’s physical activity better quantifies the dose–response relationship between physical activity and health outcomes, compliance with physical activity guidelines, the effectiveness of intervention programs and correlates of physical activity. doi:10.1016/j.jsams.2008.12.022 22 Who meets adolescent activity guidelines? A market segmentation approach T. Olds ∗ , A. Esterman
- Diagnosis of shoulder pathology: George Murrell and Lisa Briggs - Shoulder injection techniques: Karin Peters and Lisa Briggs
University of South Australia, Australia Purpose: Adolescents are “consumers” of physical activity and sedentary behaviours. This study used a market