title: Back strength cannot be predicted accurately from anthropometric measures in subjects with and without chronic low back pain.
abstract: OBJECTIVE
  (1) To develop a multiple regression equation using anthropometric measurements to predict back strength and (2) to estimate the effect of practice on the back strength results and back strength predictions.
  
  
  METHODS
  Comparative study with repeated measures performed on three days.
  
  
  BACKGROUND
  The assessment of back muscle relative endurance (% maximal strength) requires the measurement of maximal back strength which is problematic with low back pain patients.
  
  
  METHODS
  The back strength (L5/S1 static extension moment), age and 26 anthropometric parameters were obtained from 83 male volunteers [42 healthy subjects and 41 chronic low back pain patients] aged between 20 and 60 years. A subsample of 20 healthy subjects and 20 patients were assessed through three days of testing to evaluate the variations of back strength with practice.
  
  
  RESULTS
  The final regression model (n=42 healthy subjects) explained 39% of the variance in back strength. Back strength increased with practice (Day1<Day2 & 3) for both healthy and patients groups. However, the error of prediction of back strength derived from the regression model showed a significant improvement with practice for the patients only.
  
  
  CONCLUSIONS
  Back strength cannot be predicted from simple anthropometric measures without important errors. The decrease of the error of prediction obtained for the patient group is indicative of a decreasing influence of psychological factors that are independent of motor learning because the effect of motor learning would have occurred on both groups if present.
  
  
  CONCLUSIONS
  The prediction of back strength would be useful to determine (1) the relative force level of a given exercise or (2) the preinjury back strength. Unfortunately, anthropometric measurements are not enough good predictors of back strength.
authors.affiliation: Institut de recherche Robert-Sauvé en santé et en sécurité du travail, 505, boul. De Maisonneuve Ouest, Montreal, Que., Canada H3A 3C2. lariviere.christian@irsst.qc.ca
authors.forename: Christian
authors.initials: C
authors.lastname: Larivière
authors.forename: Denis
authors.initials: D
authors.lastname: Gravel
authors.forename: Denis
authors.initials: D
authors.lastname: Gagnon
authors.forename: A Bertrand
authors.initials: AB
authors.lastname: Arsenault
authors.forename: Patrick
authors.initials: P
authors.lastname: Loisel
authors.forename: Yves
authors.initials: Y
authors.lastname: Lepage
mesh_terms: D000328:Adult; D000886:Anthropometry; D001415:Back / Q000503:physiopathology; D015992:Body Mass Index; D002908:Chronic Disease; D006801:Humans; D017116:Low Back Pain / Q000503:physiopathology*; D008297:Male; D008875:Middle Aged; D018482:Muscle, Skeletal / Q000503:physiopathology*; D012044:Regression Analysis