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1.
Braz. j. phys. ther. (Impr.) ; 20(5): 384-394, Sept.-Oct. 2016. tab, graf
Article in English | LILACS | ID: biblio-828287

ABSTRACT

ABSTRACT Objective: To empirically test the relationships proposed by the International Classification of Functioning, Disability and Health (ICF) among its domains. Method: The cross-sectional study was completed with 226 adult patients with different health conditions who attended a Brazilian rehabilitation unit. The ICF components were measured with the following instruments: World Health Organization Disability Assessment Instrument II, Functional Independence Measure, Participation Scale, Craig Hospital Inventory of Environmental Factors, and a protocol designed to gather information on body structure and function and personal factors. Results: Structural equation modeling showed good model adjustment, GFI=0.863; AGFI=0.795; RMSEA=0.028 (90% CI=0.014-0.043). Significant relationships were found between activity and both body structure and function (standard coefficient=0.32; p<0.0001) and participation components (standard coefficient=–0.70; p<0.0001). Environmental and personal factors had a significant effect on the three functioning components (standard coefficient =0.39; p<0.0001; standard coefficient =-0.35; p<0.001, respectively). In contrast, body structure and function had no significant effect on participation (standard coefficient=–0.10; p=0.111) and health conditions had no significant effect on any of the functioning components, i.e., body structure and function, activity, and participation (standard coefficient=–0.12; p=0.128). Conclusion: Some of the ICF’s proposed relationships across domains were confirmed, while others were not found to be significant. Our results reinforce the contextual dependency of the functioning and disability processes, in addition to putting into perspective the impact of health conditions.


Subject(s)
Humans , International Classification of Diseases , Disabled Persons/rehabilitation , Disabled Persons/classification , Disabled Persons/statistics & numerical data , Disability Evaluation , Models, Theoretical
2.
Braz. j. phys. ther. (Impr.) ; 20(3): 258-266, tab, graf
Article in English | LILACS | ID: lil-787649

ABSTRACT

ABSTRACT Background Gait is an extremely complex motor task; therefore, gait data should encompass as many gait parameters as possible. Objective To provide reference values for gait measurements obtained from a Brazilian group of community-dwelling elderly females between the ages of 65 and 89 years and to apply the PCA-biplot to yield insight into different walking strategies that might occur during the aging process. Method 305 elderly community-dwelling females living in Brazil were stratified into four age groups: 65-69 years (N=103); 70-74 years (N=95); 75-79 years (N=77); and ≥80 years (N=30). Age, height, and BMI were assessed to describe the characteristics of the groups. Gait spatiotemporal and variability data were obtained using the GAITRite® system. Principal component analysis, followed by MANOVA and the PCA-biplot approach were used to analyze the data. Results 95% CI showed that only three components – rhythm, variability, and support - together explained 74.2% of the total variance in gait that were different among the groups. The older groups (75-79 and ≥80 years) walked with lower than average velocity, cadence, and step length and were above average for the variables stance, step, swing, and double support time and the ≥80 year old group presented the highest gait variability compared to the other groups. Conclusion Aging is associated with decreased gait velocity and cadence and increased stance, step time, and variability, but not associated with changes in base of support. In addition, the PCA-biplot indicates a decline towards decreased rhythm and increased variability with aging.


Subject(s)
Humans , Female , Aged , Walking , Gait , Brazil
3.
Braz. j. phys. ther. (Impr.) ; 19(4): 311-319, July-Aug. 2015. tab, ilus
Article in English | LILACS | ID: lil-761609

ABSTRACT

BACKGROUND: The literature demonstrates that the social participation of children with disabilities is influenced by both their functional skills repertoire and environmental factors. However, it is not yet known whether the effect of functional limitations on social participation is minimized or enhanced by the environmental facilitators and barriers. This study aimed to test this hypothesis.OBJECTIVE: To investigate the moderating effect of environmental factors in the relationship between mobility and school participation of children and adolescents with cerebral palsy (CP).METHOD: Participants were 102 elementary school children and adolescents with CP, aged 6 to 17 years, classified as levels I, II, and III according to the Gross Motor Classification System, along with their parents or caregivers and teachers. School participation and parents' perceptions of barriers were evaluated using the School Function Assessment and the Craig Hospital Inventory of Environmental Factors (CHIEF), respectively.RESULTS: The regression model failed to reveal a moderating effect of environmental factors in the relationship between mobility and school participation. While mobility was a strong predictor of participation, environmental factors demonstrated a weak predictive effect on the latter. The CHIEF subscale school/work showed the factors which were greatest barrier to children's participation, while the subscale attitude/support had the least impact.CONCLUSION: The absence of moderation on the tested relationship suggests that, when investigated under the negative perspective of environmental barriers, the contextual factors do not modify the relationship between mobility and school participation. Factors specific to the school environment might add to the present study's results regarding the effect of school participation in this population.


Subject(s)
Humans , Child , Adolescent , Cerebral Palsy/physiopathology , Surveys and Questionnaires/standards , Social Participation , Social Support , Caregivers/standards , Disabled Children/psychology , Environment , Leisure Activities
4.
Braz. j. phys. ther. (Impr.) ; 19(1): 61-69, Jan-Feb/2015. tab, graf
Article in English | LILACS | ID: lil-741368

ABSTRACT

BACKGROUND: Falling is a common but devastating and costly problem of aging. There is no consensus in the literature on whether the spatial and temporal gait parameters could identify elderly people at risk of recurrent falls. OBJECTIVE: To determine whether spatiotemporal gait parameters could predict recurrent falls in elderly women. METHOD: One hundred and forty-eight elderly women (65-85 years) participated in this study. Seven spatiotemporal gait parameters were collected with the GAITRite(r) system. Falls were recorded prospectively during 12 months through biweekly phone contacts. Elderly women who reported two or more falls throughout the follow-up period were considered as recurrent fallers. Principal component analysis (PCA) and discriminant analysis followed by biplot graph interpretation were applied to the gait parameters. RESULTS: After 12 months, 23 elderly women fell twice or more and comprised the recurrent fallers group and 110 with one or no falls comprised the non-recurrent fallers group. PCA resulted in three components that explained 88.3% of data variance. Discriminant analysis showed that none of the components could significantly discriminate the groups. However, visual inspection of the biplot showed a trend towards group separation in relation to gait velocity and stance time. PC1 represented gait rhythm and showed that recurrent fallers tend to walk with lower velocity and cadence and increased stance time in relation to non-recurrent fallers. CONCLUSIONS: The analyzed spatiotemporal gait parameters failed to predict recurrent falls in this sample. The PCA-biplot technique highlighted important trends or red flags that should be considered when evaluating recurrent falls in elderly females. .


Subject(s)
Humans , Female , Aged , Aged, 80 and over , Accidental Falls , Gait , Prospective Studies , Risk Assessment , Independent Living , Spatio-Temporal Analysis
5.
Braz. j. phys. ther. (Impr.) ; 17(2): 163-169, abr. 2013. tab
Article in English | LILACS | ID: lil-675708

ABSTRACT

BACKGROUND: Gait acquisition is supported by changes in the neuromusculoskeletal system of the child. Changes in the dimensions of the body structures resulting from the growth of the child partly explain gait improvement in the first year of life. OBJECTIVES: To evaluate whether changes in body mass and leg length modulate the effect of independent gait practice (experience) on gait speed and stride length. METHOD: Thirty-two infants with normal development were monitored monthly from the acquisition of independent gait until six months post-acquisition. Longitudinal evaluations included measurements of the body mass and leg length of each child. Temporospatial variables of gait (speed and stride length) were documented using the Qualisys Pro-reflex(r) system. The data were analyzed using multilevel regression models, with a significance level of α=0.05. RESULTS: An effect of the practice time on speed (p<0.0001) and stride length (p<0.0001) was observed. The change in leg length had a marginal effect on the rate of gait speed change: children whose leg growth was faster showed a higher rate of speed change (p=0.07). No other effects of anthropometric parameters were observed. CONCLUSIONS: The results suggest that the practice time promotes the improvement of the gait pattern of infants in the first year of life. However, the effects of the leg length and body weight of infants on the benefit of practice time remain undefined. .


CONTEXTUALIZAÇÃO: A aquisição da marcha é suportada por mudanças no sistema neuromusculoesquelético da criança. a literatura aponta que modificações nas dimensões das estruturas corporais resultantes do crescimento da criança explicam, em parte, o aprimoramento da marcha no primeiro ano de vida. OBJETIVOS: Avaliar se mudanças na massa corporal e comprimento da perna modulam o efeito da prática da marcha independente nos seguintes parâmetros da marcha: velocidade e comprimento da passada. MÉTODO: Trinta e dois lactentes com desenvolvimento normal foram acompanhados mensalmente a partir da aquisição da marcha independente até seis meses pós-aquisição. Avaliações longitudinais incluíram mensurações da massa corporal e do comprimento da perna de cada criança. As variáveis temporoespaciais da marcha (velocidade e comprimento da passada) foram documentadas utilizando-se o sistema Qualisys Pro-Reflex (r) . Os dados foram analisados por modelos de regressão multinível, com nível de significância α=0,05. RESULTADOS: Encontrou-se um efeito do tempo de prática nas medidas de velocidade (p<0,0001) e comprimento da passada (p<0,0001). a mudança no comprimento da perna teve um efeito marginal na taxa de mudança da velocidade de marcha: crianças cujo crescimento da perna foi mais acelerado apresentaram uma taxa de mudança de velocidade maior (p=0,07). Nenhum outro efeito dos parâmetros antropométricos foi observado. CONCLUSÕES: Os resultados sugerem que o tempo de prática promove o aprimoramento do padrão de marcha de lactentes no primeiro ano de vida. Por sua vez, os efeitos do comprimento da perna e da massa corporal ...


Subject(s)
Humans , Infant , Body Mass Index , Child Development , Gait , Leg/anatomy & histology , Motor Activity , Walking , Longitudinal Studies , Organ Size , Reference Values
6.
Braz. j. phys. ther. (Impr.) ; 15(1): 52-58, Jan.-Feb. 2011. ilus, tab
Article in Portuguese | LILACS | ID: lil-582729

ABSTRACT

CONTEXTUALIZAÇÃO: A aplicabilidade da análise de marcha foi aprimorada com a introdução da análise de componentes principais (ACP), uma técnica estatística que reduz o volume de dados, permitindo a comparação de todo o ciclo entre grupos de indivíduos. OBJETIVOS: Comparar, por meio da ACP, a cinemática da articulação do joelho durante a marcha nos planos sagital e frontal, entre mulheres idosas sem e com diagnóstico de leve a moderado de osteoartrite (OA). MÉTODOS: Participaram 38 mulheres idosas (69,6±8,1 anos) com OA de joelhos e 40 assintomáticas (70,3±7,7 anos). A cinemática foi obtida usando o sistema Qualisys Pró-reflex. RESULTADOS: O grupo OA apresentou menor velocidade da marcha e comprimento da passada (p<0,05) e caracterizou-se por maior escore de dor no WOMAC. No plano frontal, as componentes não foram significativas entre os grupos. No plano sagital, três componentes explicaram 90,7 por cento da variância dos dados. A análise discriminante indicou que a componente 2 (CP2) e a 3 (CP3) classificaram corretamente 71,8 por cento dos indivíduos. Entretanto, a CP3, que capta a diferença de amplitude do ângulo de flexão do joelho durante a marcha, foi a variável com maior poder de discriminação entre os grupos. CONCLUSÕES: A ACP é uma técnica estatística multivariada, efetiva para a análise das variáveis cinemáticas do ciclo da marcha. A perda de flexão de joelho na marcha do grupo com OA foi apontada como fator discriminante importante entre os grupos, sendo, portanto, uma variável que deve ser considerada na avaliação e tratamento fisioterápico da mulher idosa com OA de joelho.


BACKGROUND: The applicability of gait analysis has been implemented with the introduction of the principal component analysis (PCA), a statistical data reduction technique that allows the comparison of the whole cycle between groups of individuals. OBJECTIVES: Applying PCA, to compare the kinematics of the knee joint during gait, in the frontal and sagittal planes, between a group of elderly women with and without diagnosis in the initial and moderate stages of Osteoarthritis (OA). METHODS: A total of 38 elderly women (69.6±8.1 years) with knee OA and 40 asymptomatic (70.3±7.7 years) participated on this study. The kinematics was obtained using the Qualisys Pro-reflex system. RESULTS: The OA group showed decreased gait velocity and stride length (p<0.05) and was characterized with higher WOMAC pain score. In the frontal plane, the between-group differences of the components were not significant. In the sagittal plane, three principal components explained 99.7 percent of the data variance. Discriminant analysis indicated that component 2 and 3 could classify correctly 71.8 percent of the individuals. However, CP3, which captures the difference in the flexion knee angle magnitude during gait, was the variable with higher discrimination power between groups. CONCLUSIONS: PCA is an effective multivariate statistical technique to analyse the kinematic gait waveform during the gait cycle. The smaller knee flexion angle in the OA group was appointed as a discriminatory factor between groups, therefore, it should be considered in the physical therapy evaluation and treatment of elderly women with knee OA.


Subject(s)
Aged , Female , Humans , Gait/physiology , Osteoarthritis, Knee/physiopathology , Principal Component Analysis , Biomechanical Phenomena
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