Objective: To evaluate the effectiveness of a specialized physical therapy (SPT) program on disability in cervical dystonia (CD) compared to regular physical therapy (RPT). Design: A single-blinded randomized controlled trial. Setting: This study was performed by a physical therapist in a primary health care setting. Measurements were performed at baseline, 6 and 12 months in the botulinum toxin (BoNT) outpatient clinic of the neurology department. Participants: Patients with primary CD and stable on BoNT treatment for 1 year (N=96). Main Outcome Measures: The primary outcome was disability assessed with the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS). Secondary outcomes were pain, anxiety, depression, quality of life (QOL), and health related costs over 12 months. Results: A total of 72 participants (30 men, 42 women) finished the study: 40 received SPT, 32 RPT. No significant between group differences were found after 12 months of treatment (P=.326). Over these 12 months both groups improved significantly (P<.001) on the TWSTRS disability scale compared to baseline (SPT 1.7 points, RPT 1.0 points). Short Form 36 (SF-36) General Health Perceptions (P=.046) and self-perceived improvement (P=.007) showed significantly larger improvements after 12 months in favor of SPT. Total health related costs after 12 months were $1373±556 for SPT compared to $1614±917 for RPT. Conclusion: SPT revealed no significant differences compared to RPT after 12 months of treatment on the TWSTRS disability scale. Both groups showed similar improvements compared to baseline. Positive results in the SPT group were higher patient perceived effects and general health perception. Treatment costs were lower in the SPT group. With lower costs and similar effects, the SPT program seems to be the preferred program to treat CD.
About this publication: In their new work research collective Ippolita provides a critical investigation of the inner workings of Facebook as a model for all commercial social networks. Facebook is an extraordinary platform that can generate large profit from the daily activities of its users. Facebook may appear to be a form of free entertainment and self-promotion but in reality its users are working for the development of a new type of market where they trade relationships. As users of social media we have willingly submitted to a vast social, economic and cultural experiment.By critically examining the theories of Californian right-libertarians, Ippolita show the thread con- necting Facebook to the European Pirate Parties, WikiLeaks and beyond. An important task today is to reverse the logic of radical transparency and apply it to the technologies we use on a daily basis. The algorithms used for online advertising by the new masters of the digital world – Facebook, Apple, Google and Amazon – are the same as those used by despotic governments for personalized repression. Ippolita argues we should not give in to the logic of conspiracy or paranoia instead we must seek to develop new ways of autonomous living in our networked society.
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This paper reports on the first stage of a research project1) that aims to incorporate objective measures of physical activity into health and lifestyle surveys. Physical activity is typically measured with questionnaires that are known to have measurement issues, and specifically, overestimate the amount of physical activity of the population. In a lab setting, 40 participants wore four different sensors on five different body parts, while performing various activities (sitting, standing, stepping with two intensities, bicycling with two intensities, walking stairs and jumping). During the first four activities, energy expenditure was measured by monitoring heart rate and the gas volume of in‐ and expired O2 and CO2. Participants subsequently wore two sensor systems (the ActivPAL on the thigh and the UKK on the waist) for a week. They also kept a diary keeping track of their physical activities, work and travel hours. Machine learning algorithms were trained with different methods to determine which sensor and which method was best able to differentiate the various activities and the intensity with which they were performed. It was found that the ActivPAL had the highest overall accuracy, possibly because the data generated on the upper tigh seems to be best distinguishing between different types of activities and therefore led to the highest accuracy. Accuracy could be slightly increased by including measures of heartrate. For recognizing intensity, three different measures were compared: allocation of MET values to activities (used by ActivPAL), median absolute deviation, and heart rate. It turns out that each method has merits and disadvantages, but median absolute deviation seems to be the most promishing metric. The search for the best method of gauging intensity is still ongoing. Subsequently, the algorithms developed for the lab data were used to determine physical activity in the week people wore the devices during their everyday activities. It quickly turned out that the models are far from ready to be used on free living data. Two approaches are suggested to remedy this: additional research with meticulously labelled free living data, e.g., by combining a Time Use Survey with accelerometer measurements. The second is to focus on better determining intensity of movement, e.g., with the help of unsupervised pattern recognition techniques. Accuracy was but one of the requirements for choosing a sensor system for subsequent research and ultimate implementation of sensor measurement in health surveys. Sensor position on the body, wearability, costs, usability, flexibility of analysis, response, and adherence to protocol equally determine the choice for a sensor. Also from these additional points of view, the activPAL is our sensor of choice.
