Dorian Deflandre

A Comparison of 3D Methods for Identifying the Stance Phase in Treadmill Running for Both Rearfoot and Forefoot Runners

We compared six 3D methods, OptoGait, and Myotest Run for the determination of contact time for runners with different foot strike patterns. Twenty male participants were divided into two groups: the heel group, who attack the ground with the heel (n = 12), and the toe group, who attack the ground with the middle/front of the foot (n = 8). They performed trials at speeds of 8 km/h then 16 km/h. To detect foot strike, the use of peak velocity of 3D markers located on the heel, the fifth metatarsal, and the great toe provided the best results for both groups. To detect the toe off, the minimum vertical position of a 3D marker placed in line with the great toe gave the most satisfactory results for both groups. In this way, the values of contact time measured with the 3D methods are consistent. Values measured with OptoGait appear consistent too, while those of the Myotest Run underestimate the contact time for both speeds. 3D analysis provides interesting opportunities for calculation of contact time for both rearfoot and forefoot runners, using specific peak velocities to determine foot strike and marker displacement to determine toe off.

Reproducibility of the Evolution of Stride Biomechanics During Exhaustive Runs

Abstract Running biomechanics and its evolution that occurs over intensive trials are widely studied, but few studies have focused on the reproducibility of stride evolution in these runs. The purpose of this investigation was to assess the reproducibility of changes in eight biomechanical variables during exhaustive runs, using three-dimensional analysis. Ten male athletes (age: 23 ± 4 years; maximal oxygen uptake: 57.5 ± 4.4 ml02·min-1·kg-1; maximal aerobic speed: 19.3 ± 0.8 km·h-1) performed a maximal treadmill test. Between 3 to 10 days later, they started a series of three time-to-exhaustion trials at 90% of the individual maximal aerobic speed, seven days apart. During these trials eight biomechanical variables were recorded over a 20-s period every 4 min until exhaustion. The evolution of a variable over a trial was represented as the slope of the linear regression of these variables over time. Reproducibility was assessed with intraclass correlation coefficients and variability was quantified as standard error of measurement. Changes in five variables (swing duration, stride frequency, step length, centre of gravity vertical and lateral amplitude) showed moderate to good reproducibility (0.48 ≤ ICC ≤ 0.72), while changes in stance duration, reactivity and foot orientation showed poor reproducibility (-0.71 ≤ ICC ≤ 0.04). Fatigue-induced changes in stride biomechanics do not follow a reproducible course across the board; however, several variables do show satisfactory stability: swing duration, stride frequency, step length and centre of gravity shift.

Exercise and Education Program After Breast Cancer: Benefits on Quality of Life and Symptoms at 3, 6, 12, and 24 Months’ Follow-up

Background Various clinical trials have demonstrated the benefits of physical training offered during and/or after breast cancer treatments. However, given the variety of adverse events that may be encountered, physical training could be combined with psychologic, relational, and social guidance. This kind of multidisciplinary program, as well as its long‐term effects, have been little studied so far. Therefore, the objective of our study was to determine the benefits at 3, 6, 12, and 24 months of a 3‐month exercise and education program among women after breast cancer treatment. Patients and Methods Two hundred nine outpatients treated for primary breast carcinoma were divided into a control group (n = 106) and an experimental group (n = 103) which underwent a 3‐month rehabilitation program including physical training and psychoeducational sessions. The assessments, performed before the program and at 3, 6, 12, and 24 months after inclusion, included validated questionnaires on quality of life and symptoms. Results The analyses revealed an improvement in quality of life and symptoms after the exercise and education program within the experimental group and a maintenance of these improvements during the 2 years of follow‐up. These improvements were significantly better than those in the control group, clearly demonstrating that the program has benefits. Conclusion This trial identified the benefits of a well‐detailed 3‐month exercise and education program over 24 months’ follow‐up among women after breast cancer treatment. Micro‐Abstract This trial identified the benefits on quality of life and symptoms of a 3‐month exercise and education program over 24 months’ follow‐up among a population of 209 women treated for breast cancer. We found an improvement in quality of life and symptoms after rehabilitation in the experimental group and a maintenance of these improvements during the 2 years of follow‐up.

Influence of a multidisciplinary post-breast cancer rehabilitation program on lifestyle and behavior faced with physical activities

B the gaps in cancer care is a daunting task that requires self-awareness, education, and advocacy founded in the Code of Ethics for Nurses and aligned with our Nursing’s Social Policy Statement (ANA, 2010). Though ethical underpinnings of both the code and social contract with individuals, families, and communities remain constant, healthcare is constantly evolving. One of the most important roles of nurses as leaders in healthcare is to give voice to the under-served and ensure fairness and equity to all people regardless of race, creed, gender, or economic status (ANA, 2010). Now, with growing visibility of marginalized US populations, the healthcare industry and its providers are challenged to meet the needs of the LGBTQ populations in an equitable and just way. For several decades, grassroots efforts, championed by the Fenway Institute (Boston, MA) and many of our national medical and nursing organizations (IOM, ANA,), have called for an adjustments to the binary healthcare structure that has yet to address the new norms of an expanding diversity of culture. Inherent in the lack of readiness to support the LGBTQ community are deficits in provider information, ineffective communication, confusion surrounding gender and sexuality differences and conscious and unconscious biases that interfere with the ability to recognize and to deliver appropriate healthcare. Despite this trending need, pre-professional education has dedicated limited amount of time in preparing nurses, nurse practitioners and medical staff in the standards of care for LGBTQ people. For the purpose of this presentation, cancer risk assessment, screenings, healthcare practices, and health promotion for LGBTQ people, from the very young to the elderly, will be explored. Strategies to provide a compassionate, and welcoming environments to gender, non-conforming individuals will be discussed. Recommendations for nursing education and preparedness using evidence-based applications in clinical practice will be offered.Exercise stage b 3.152 Contemplation .281 1.208 0.054 1.325 (0.124-14.143) Preparation .851 1.282 0.441 2.342 (0.190-28.866) Action 1.291 1.298 0.989 3.636 (0.285-46.305) Maintenance 1.944 1.368 2.020 6.990 (0.478-102.125) Table1 the predictive factor analysis of glycemic control Introduction It is important for patients with diabetes mellitus to understand the importance of drug compliance and healthy lifestyle. However, the actual condition of this management is not ideal. The behavior of personality traits is an important factor of compliance. There is a close relationship between personality traits, self-discipline, and selfcare. It is critical to understand the personality traits of subjects for glycemic control. Methods This study was conducted in the Division of Metabolism in a teaching hospital in Taiwan. There were 219 patients with Type 2 diabetes under survey with questionnaires. The effective sample size is 214. Results a) The older the patients have the lower the risk of poor glycemic control. b) Increase of every 10 years of age, the risk of poor glycemic control decreases by 9.2%. c) Increased fasting blood glucose of 10mg/dl increases 59% risk of poor glycemic control. d) Increased every 10 g/dl TG makes the increase of risk for poor glycemic control by 39%. e) Patients with prudent personality or agreeable personality have a lower risk of poor glycemic control but without significant difference. f) Neuroticism personality is an important predictor for poor glycemic control g) Neuroticism personalities have a 7.52 times higher risk of poor glycemic control.