RESUMO
Purpose To assess the impact of vertigo on health-related quality of life (HrQoL) of children/adolescents and to assess if the impact on HrQoL varies by age group, gender, and type of vertigo diagnoses. Methods A retrospective analysis was performed on the clinical and HrQoL data of children and adolescents referred to the German Center of Vertigo and Balance Disorders (n = 32; male = 17; female = 15; age range: 8-18 years), using the KIDSCREEN-52 questionnaire. For each scale, means of the Z-scores with 95% confidence intervals of the study and norm sample were compared. By nonparametric Kruskal-Wallis statistics differences between diagnostic groups were assessed. To assess the gender- and age-specific impact of vertigo on quality of life, Wilcoxon signed-rank test was used. Results The means of the physical well-being, psychological well-being, autonomy scale, and the general HrQoL index of patients were considerably lower than the means of the norm sample. The physical well-being seemed to be most affected by vertigo. The reduction of HrQoL was not related to gender and vertigo types but seemed to be higher in children suffering from vertigo aged 12 to 18 years than children aged 8 to 11 years. Conclusion These are the first data to demonstrate impaired HrQoL in children with chronic vertigo.
Assuntos
Qualidade de Vida , Vertigem/epidemiologia , Vertigem/psicologia , Adolescente , Fatores Etários , Criança , Doença Crônica , Feminino , Alemanha/epidemiologia , Humanos , Masculino , Estudos Retrospectivos , Autorrelato , Fatores SocioeconômicosRESUMO
PURPOSE: This study aims to evaluate the effectiveness of a prefabricated carbon-composite ankle foot orthoses (c-AFOs) on gait parameters in children with unilateral spastic cerebral palsy (USCP) exhibiting a drop foot pattern. METHODS: Sixteen ambulatory children with USCP and a drop foot pattern were included (mean age: 9 years; gross motor function classification system: I = 14, II = 2) and three-dimensional gait analysis was applied under randomly assigned conditions (barefoot; shoe; c-AFO). Kinematics, kinetics, time-distance parameters and gait indices were investigated. RESULTS: Effects on the drop foot pattern were investigated while the children walked in shoes only. The shoes already increased the maximum ankle dorsiflexion in swing (p= 0.004) and initiated more knee flexion during single support (p⩽ 0.013). Compared to shoe walking, the c-AFO led to additional benefits regarding further ankle dorsiflexion during swing (p⩽ 0.001) and initial contact (p< 0.001), ankle movement during loading response (p= 0.002), improved the sole angle during initial contact (p< 0.001) and during mid stance (p= 0.015). Plantarflexion and ankle power generation during push-off decreased when wearing the c-AFO (p⩽ 0.008). CONCLUSION: Investigated c-AFOs are beneficial for improving drop foot patterns in children with USCP. Significant effects on pathological barefoot pattern were already achieved with the child's regular shoes. This could be considered in clinical decision processes. In comparison to shoe walking, c-AFO additionally improved foot clearance and normalized initial heel contact. The third rocker deteriorates with the c-AFO. Since kinematics improved with the orthoses during swing and early stance phase, c-AFOs might reduce tripping and falling caused by a drop foot during long distance walking.
Assuntos
Paralisia Cerebral/terapia , Órtoses do Pé , Adolescente , Paralisia Cerebral/fisiopatologia , Criança , Pré-Escolar , Marcha/fisiologia , Humanos , Resultado do Tratamento , Caminhada/fisiologiaRESUMO
Motion analysis of infants is used for early detection of movement disorders like cerebral palsy. For the development of automated methods, capturing the infant's pose accurately is crucial. Our system for predicting 3D joint positions is based on a recently introduced pixelwise body part classifier using random ferns, to which we propose multiple enhancements. We apply a feature selection step before training random ferns to avoid the inclusion of redundant features. We introduce a kinematic chain reweighting scheme to identify and to correct misclassified pixels, and we achieve rotation invariance by performing PCA on the input depth image. The proposed methods improve pose estimation accuracy by a large margin on multiple recordings of infants. We demonstrate the suitability of the approach for motion analysis by comparing predicted knee angles to ground truth angles.