Listening to the post-16 transition experiences of young people with a specific language impairment

Statistical characteristics for identified patient subgroup models. One table with statistical characteristics for each LCA approach. (PDF 115 kb

Additional file 1: of Clinical course and prognosis of musculoskeletal pain in patients referred for physiotherapy: does pain site matter?

Cross-cultural adaptation and validation of the Danish version of the Standard Evaluation Questionnaire (SEQ) modules. (DOCX 251 kb

Urban study of development area city - Brno

The theme of my diploma thesis is the elaboration of the Territorial Study of the South Development Area of the City of Brno. It is a very displaced area, in the Brno-South district around the villages of Dolní Heršpice and Přízřenice. It is therefore separated from the city center by the D1 motorway and circumscribed in the east and west by the high-speed communications - Vídeňská Street and D2 motorway. There are two historical villages inside the assigned area, which are today formally part of Brno - Dolní Heršpice and Přízřenice. There are also several industrial sites, both used and unused. All these are in the eastern part of the territory between Havránková / Zelná / Modřická street and river Svratka. The vast majority of the area consists of used agricultural land. The embossment is very flat, the overall elevation between the lowest and the highest point is 16 meters, while the distance of these points is almost 2.5 km. In the northern part, the Leskava stream forms a shallow valley. The aim of the proposal was to investigate the possible capacity of this territory for the new predominantly residential district of the city if the need to create new housing capacities in the southern part of the city would arise in the near future

Additional file 1: Table A1. of Latent class analysis derived subgroups of low back pain patients – do they have prognostic capacity?

Presentation of Latent Class Analysis derived domain-specific patient categories for each of the six health domains. Table A2a. Baseline characteristics of Latent Class Analysis derived single-stage subgroups. Table A2b. Baseline characteristics of Latent Class Analysis derived two-stage subgroups. Table A3. Test of differences between responders and non-responders on the follow-up questionnaires. Table A4. Test of differences between compliant responders and non-compliant responders on the SMS questions over 12 months. (DOCX 55 kb

Prevalence of MRI findings within Cluster 1.3 in MRI_1. This cluster contained 10% of the 20,810 vertebral motion segments.

<p>(a) The vertical bars on the graph represent the proportion of vertebral motion segments for each of the MRI pathologies. (b) The mean age of the motion segments was 45 years (SD 13). (c) The vertebral level indicator shows the relative proportion of vertebral levels (L1 to L5) within the cluster.</p

Hypothetical degenerative pathways of the vertebral motion segments in MRI_1.

<p>‘Age’ is the average chronological age of the vertebral segments in each cluster and ‘SD’ is the standard deviation. The clusters were divided into the following two pathways: (i) Progressive stages of disc degeneration in the lower lumbar motion levels. (ii) Disc degeneration in the upper lumbar motion levels.</p

Prevalence of MRI findings within Cluster 1.4 in MRI_1. This cluster contained 4% of the 20,810 vertebral motion segments.

<p>(a) The vertical bars on the graph represent the proportion of vertebral motion segments for each of the MRI pathologies. (b) The mean age of the motion segments was 56 years (SD 12). (c) The vertebral level indicator shows the relative proportion of vertebral levels (L1 to L5) within the cluster.</p

Prevalence of MRI findings within Cluster 2.2 in MRI_2. This cluster contained 11% of the 3,155 vertebral motion segments.

<p>(a) The vertical bars on the graph represent the proportion of vertebral motion segments for each of the MRI pathologies. (b) The mean age of the motion segments was 48 years (SD 9). (c) The vertebral level indicator shows the relative proportion of vertebral levels (L1 to L5) within the cluster.</p

Prevalence of MRI findings within Cluster 2.4 in MRI_2. This cluster contained 11% of the 3,155 vertebral motion segments.

<p>(a) The vertical bars on the graph represent the proportion of vertebral motion segments for each of the MRI pathologies. (b) The mean age of the motion segments was 41 years (SD 10). (c) The vertebral level indicator shows the relative proportion of vertebral levels (L1 to L5) within the cluster.</p

Additional file 1: of Identification of subgroups of inflammatory and degenerative MRI findings in the spine and sacroiliac joints: a latent class analysis of 1037 patients with persistent low back pain

Reasoning underpinning the selection of clinical and demographic characteristics. (PDF 97 kb