Prediction of back strength using anthropometric and strength measurements in healthy females.
Clin Biomech (Bristol, Avon)
; 20(7): 685-92, 2005 Aug.
Article
en En
| MEDLINE
| ID: mdl-15905006
ABSTRACT
OBJECTIVES:
The purpose of this study was to develop a regression equation to predict back extensor maximal voluntary contraction (back strength) for females based on several anthropometric and strength measurements using a multiple regression technique.BACKGROUND:
Back strength is an important parameter in low back pain studies. However, the measurement of back strength is problematic in certain populations such as low back pain patients and pregnant women.METHODS:
Back strength was measured as both moment at L4/L5 and force. Ten anthropometric or strength measurements were chosen to develop the prediction equation. The data used for developing the models were from eighty non-pregnant female subjects, age 18-42 and with no history of back pain in the past year. Backwards stepwise analysis was performed in order to choose the best fit predictors. The predictive ability of each of the models was checked using the cross-validation technique on 20 other subjects.FINDINGS:
Two prediction models were developed for moment and force, respectively. The models explained 46.9% and 48.2% of the variance in back strength. No multicollinearity problem was found. The validation study showed that the observed back strength was highly correlated with the predicted back strength.INTERPRETATION:
Mass, height, trunk length, grip strength and quadriceps strength are the best predictors of back strength in this study. The models developed in this study can be used for both general female low back pain patients and the pregnancy population.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Resistencia Física
/
Dorso
/
Constitución Corporal
/
Antropometría
/
Aptitud Física
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Músculo Esquelético
/
Modelos Biológicos
Tipo de estudio:
Clinical_trials
/
Diagnostic_studies
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Prognostic_studies
/
Risk_factors_studies
Límite:
Adolescent
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Adult
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Female
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Humans
Idioma:
En
Revista:
Clin Biomech (Bristol, Avon)
Asunto de la revista:
ENGENHARIA BIOMEDICA
/
FISIOLOGIA
Año:
2005
Tipo del documento:
Article