Background: Magnetic resonance imaging (MRI) is being used extensively in the search for pathoanatomical factors contributing to low back pain (LBP) such as Modic changes (MC). However, it remains unclear whether clinical findings can identify patients with MC. The purpose of this explorative study was to assess the predictive value of six clinical tests and three questionnaires commonly used with patients with low-back pain (LBP) on the presence of Modic changes (MC).Methods: A retrospective cohort study was performed using data from Dutch military personnel in the period between April 2013 and July 2016. Questionnaires included the Roland Morris Disability Questionnaire, Numeric Pain Rating Scale, and Pain Self-Efficacy Questionnaire. The clinical examination included (i) range of motion, (ii) presence of pain during flexion and extension, (iii) Prone Instability Test, and (iv) straight leg raise. Backward stepwise regression was used to estimate predictive value for the presence of MC and the type of MC. The exploration of clinical tests was performed by univariable logistic regression models.Results: Two hundred eighty-six patients were allocated for the study, and 112 cases with medical records and MRI scans were available; 60 cases with MC and 52 without MC. Age was significantly higher in the MC group. The univariate regression analysis showed a significantly increased odds ratio for pain during flexion movement (2.57 [95% confidence interval (CI): 1.08-6.08]) in the group with MC. Multivariable logistic regression of all clinical symptoms and signs showed no significant association for any of the variables. The diagnostic value of the clinical tests expressed by sensitivity, specificity, positive predictive, and negative predictive values showed, for all the combinations, a low area under the curve (AUC) score, ranging from 0.41 to 0.53. Single-test sensitivity was the highest for pain in flexion: 60% (95% CI: 48.3-70.4).Conclusion: No model to predict the presence of MC, based on clinical tests, could be demonstrated. It is therefore not likely that LBP patients with MC are very different from other LBP patients and that they form a specific subgroup. However, the study only explored a limited number of clinical findings and it is possible that larger samples allowing for more variables would conclude differently.
Introduction: Integrating web-based or mobile components and face-to-face components within a treatment process is called blended care. As part of the participatory development of a blended physiotherapeutic intervention for patients with low back pain (e-Exercise LBP), a proof of concept study was carried out and showed promising results.Objective: To investigate the feasibility of the e-Exercise LBP prototype for patients and physiotherapists to improve the intervention.Methods: A mixed methods study was executed, embedded in the development phase of e-Exercise LBP. 21 physiotherapists treated 41 patients with e-Exercise LBP. Quantitative data consisted of: patients’ satisfaction on a five-point Likert Scale; patients’ and physiotherapists’ experienced usability of the web-based application (System Usability Scale) and; patients’ experiences with e-Exercise LBP (closed-ended questions and statements related to the elements and goals of e-Exercise LBP). Semi-structured interviews about experiences with e-Exercise LBP were conducted with seven patients and seven physiotherapists. Qualitative data were analyzed by a phenomenological approach. Quantitative data were analyzed with descriptive statistics.Results: Patients were satisfied with e-Exercise LBP (mean: 4.0; SD:0.8; range: extreme dissatisfaction (1)-extreme satisfaction (5)). Usability of the web-based application was acceptable (patients: mean: 73.2 (SD:16.3); physiotherapists: mean: 63.3 (SD:12.0); range: 0–100). Interviews revealed that physiotherapists’ training is essential to successfully integrate the web-based application and face-to-face sessions within physiotherapy treatment. Also, patients addressed the need of reminder messages to support long-term (exercise) adherence.Conclusion: e-Exercise LBP appeared to be feasible. However, various prerequisites and points of improvement were mentioned to improve physiotherapists’ training and the prototype.
Background: Development of more effective interventions for nonspecific chronic low back pain (LBP), requires a robust theoretical framework regarding mechanisms underlying the persistence of LBP. Altered movement patterns, possibly driven by pain-related cognitions, are assumed to drive pain persistence, but cogent evidence is missing. Aim: To assess variability and stability of lumbar movement patterns, during repetitive seated reaching, in people with and without LBP, and to investigate whether these movement characteristics are associated with painrelated cognitions. Methods: 60 participants were recruited, matched by age and sex (30 back-healthy and 30 with LBP). Mean age was 32.1 years (SD13.4). Mean Oswestry Disability Index-score in LBP-group was 15.7 (SD12.7). Pain-related cognitions were assessed by the ‘Pain Catastrophizing Scale’ (PCS), ‘Pain Anxiety Symptoms Scale’ (PASS) and the task-specific ‘Expected Back Strain’ scale(EBS). Participants performed a seated repetitive reaching movement (45 times), at self-selected speed. Lumbar movement patterns were assessed by an optical motion capture system recording positions of cluster markers, located on the spinous processes of S1 and T8. Movement patterns were characterized by the spatial variability (meanSD) of the lumbar Euler angles: flexion-extension, lateralbending, axial-rotation, temporal variability (CyclSD) and local dynamic stability (LDE). Differences in movement patterns, between people with and without LBP and with high and low levels of pain-related cognitions, were assessed with factorial MANOVA. Results: We found no main effect of LBP on variability and stability, but there was a significant interaction effect of group and EBS. In the LBP-group, participants with high levels of EBS, showed increased MeanSDlateral-bending (p = 0.004, η2 = 0.14), indicating a large effect. MeanSDaxial-rotation approached significance (p = 0.06). Significance: In people with LBP, spatial variability was predicted by the task-specific EBS, but not by the general measures of pain-related cognitions. These results suggest that a high level of EBS is a driver of increased spatial variability, in participants with LBP.
The impacts of tourism on destinations and the perceptions of local communities have been a major concern both for the industry and research in the past decades. However, tourism planning has been mainly focused on traditions that promote the increase of tourism without taking under consideration the wellbeing of both residents and visitors. To develop a more sustainable tourism model, the inclusion of local residents in tourism decision-making is vital. However, this is not always possible due to structural, economic and socio-cultural restrictions that residents face resulting to their disempowerment. This study aims to explore and interpret the formal processes around tourism decision-making and community empowerment in urban settings. The research proposes a comparative study of three urban destinations in Europe (The Hague in the Netherlands, San Sebastian in Spain and, Ioannina in Greece) that experience similar degree of tourism growth. The proposed study will use a design-based approach in order to understand tourism decision-making and what empowers or disempowers community participation within the destinations. Based on the findings of primary and secondary data, a community empowerment model will be applied in one the destinations as a pilot for resident engagement in tourism planning. The evaluation of the pilot will allow for an optimized model to be created with implications for tourism planning at a local level that can contribute to sustainable destinations that safeguard the interests of local residents and tourists.
Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
Society continues to place an exaggerated emphasis on women's skins, judging the value of lives lived within, by the colour and condition of these surfaces. This artistic research will explore how the skin of a painting might unpack this site of judgement, highlight its objectification, and offer women alternative visualizations of their own sense of embodiment. This speculative renovation of traditional concepts of portrayal will explore how painting, as an aesthetic body whose material skin is both its surface and its inner content (its representations) can help us imagine our portrayal in a different way, focusing, not on what we look like to others, but on how we sense, touch, and experience. How might we visualise skin from its ghostly inner side? This feminist enquiry will unfold alongside archival research on The Ten Largest (1906-07), a painting series by Swedish Modernist Hilma af Klint. Initial findings suggest the artist was mapping traditional clothing designs into a spectral, painterly idea of a body in time. Fundamental methods research, and access to newly available Af Klint archives, will expand upon these roots in maps and women’s craft practices and explore them as political acts, linked to Swedish Life Reform, and knowingly sidestepping a non-inclusive art history. Blending archival study with a contemporary practice informed by eco-feminism is an approach to artistic research that re-vivifies an historical paradigm that seems remote today, but which may offer a new understanding of the past that allows us to also re-think our present. This mutuality, and Af Klint’s rhizomatic approach to image-making, will therefore also inform the pedagogical development of a Methods Research programme, as part of this post-doc. This will extend across MA and PhD study, and be further enriched by pedagogy research at Cal-Arts, Los Angeles, and Konstfack, Stockholm.
