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1.
Brain Inj ; 29(13-14): 1711-6, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26479336

RESUMO

AIM: To evaluate the reliability, validity and responsiveness of the High-level Mobility Assessment Tool (HiMAT) in children and adolescents with traumatic brain injury (TBI) and to compare the mobility skills of children with TBI to those of healthy peers. METHOD: The mobility skills of 52 children with moderate and severe TBI (36 males; mean age = 12 years, range = 6-17) were assessed using the HiMAT and the Pediatric Evaluation of Disability Inventory (PEDI). Inter-rater reliability, re-test reliability and responsiveness of the HiMAT were evaluated in sub-groups by comparing results scored at several time-points. The HiMAT scores of children with TBI were compared with those of a healthy comparative cohort. RESULTS: The HiMAT demonstrated excellent inter-rater reliability (ICC = 0.93), re-test reliability (ICC = 0.98) and responsiveness to change (p = 0.002). The PEDI demonstrated a ceiling effect in mobility assessment of ambulant children with TBI. The HiMAT scores of children with TBI were lower than those of their healthy peers (p < 0.001). INTERPRETATION: The HiMAT is a reliable, valid and sensitive measure of high-level mobility skills following childhood TBI. The high-level mobility skills of children with TBI are less proficient than their peers.


Assuntos
Lesões Encefálicas/diagnóstico , Lesões Encefálicas/reabilitação , Avaliação da Deficiência , Limitação da Mobilidade , Adolescente , Lesões Encefálicas/fisiopatologia , Estudos de Casos e Controles , Criança , Feminino , Humanos , Masculino , Recuperação de Função Fisiológica/fisiologia , Reprodutibilidade dos Testes
2.
Phys Ther ; 100(2): 324-331, 2020 02 07.
Artigo em Inglês | MEDLINE | ID: mdl-31742357

RESUMO

BACKGROUND: Physical therapists need to be able to evaluate high-level gross motor skills of children to determine their capacity to engage in activities such as running, jumping, hopping, and stair climbing. The High-Level Mobility Assessment Tool (HiMAT) has excellent interrater and retest reliability and is less susceptible to a ceiling effect than existing mobility scales in children who are 6 to 17 years old and have traumatic brain injury. OBJECTIVE: The purposes of this study were to develop normative HiMAT score ranges for Australian children and to investigate the relationship between children's HiMAT scores and their age, height, weight, and body mass index (BMI). DESIGN: This study used a cross-sectional design. METHODS: Children included in this study were 5 to 12 years old, had no condition affecting their mobility, could follow 2-stage instructions, and had written informed consent from their parent or guardian. A total 1091 children were assessed at their local school, where their height, weight, and HiMAT score were recorded. The relationships between children's age, height, weight, and BMI were summarized using Spearman rank correlations. Truncated regression models were used to determine the most appropriate predictor variable for developing sex-specific normative ranges. RESULTS: There was a positive correlation between children's HiMAT scores and their age, height, weight, and BMI. Age explained the most variability in HiMAT scores for both boys and girls. LIMITATIONS: The reliability, validity, and responsiveness of the HiMAT have not been tested across a broad range of children with mobility limitations. Normative data reported in this study are for Australian children only. CONCLUSIONS: HiMAT scores for children in this study increased with age, height, weight, and BMI. Age was the most appropriate variable for developing a normative dataset of HiMAT scores for children of primary school age.


Assuntos
Exercício Físico/fisiologia , Destreza Motora/fisiologia , Movimento/fisiologia , Fatores Etários , Estatura , Índice de Massa Corporal , Peso Corporal , Criança , Pré-Escolar , Estudos Transversais , Feminino , Humanos , Masculino , Análise de Regressão , Reprodutibilidade dos Testes , Corrida/fisiologia , Subida de Escada/fisiologia , Estatísticas não Paramétricas
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