Author/Editor		Rečnik, G; Kralj-Iglič, V; Iglič, A; Antolič, V; Kramberger, S; Rigler, I; Pompe, B; Vengust, R
Title		The role of obesity, biomechanical constitution of the pelvis and contact joint stress in progression of hip osteoarthritis
Type		članek
Source		Osteoarthritis Cartilage
Vol. and No.		Letnik 17, št. 7
Publication year		2009
Volume		str. 879-882
Language		eng
Abstract		Objective: The aim of our study was to explore whether earlier hip arthroplasty for idiopathic osteoarthritis (OA) might be explained by enlarged contact stress in the hip joint, and to what amount can that be attributed to obesity and biomechanical constitution of the pelvis. Method: Fifty subjects were selected from a list of consecutive recipients of hip endoprosthesis due to idiopathic OA; standard pelvic radiographs made years prior to surgery were the main selection criteria. For 65 hips resultant hip force and peak contact hip stress normalized to the body weight (R/Wb and p(max)/Wb) were determined from the radiographs with the Hipstress method. Body weight and body mass index (BMI) were obtained with an interview. Regression analysis was used to correlate parameters of obesity (body weight, BMI), biomechanical constitution of the pelvis (R/Wb, p(max)/Wb) and mechanical loading within the hip joint (R, p(max)) with age at hip arthroplasty. Results: Younger age at hip arthroplasty was associated with higher body weight (P=0.009), higher peak contact hip stress normalized to the body weight - p(max)/Wb (P=0.019), higher resultant hip force -R (P=0.027) and larger peak contact hip stress - p(max) (P<0.001), but not with BMI (P=0.121) or R/Wb (P=0.614). Conclusion: Our results suggest that enlarged contact stress (p(max)) plays an important role in rapid progression of hip OA with both obesity (increased body weight) and unfavorable biomechanical constitution of the pelvis (greater p(max)/Wb) contributing.
Descriptors		OBESITY PELVIC BONES OSTEOARTHRITIS, HIP HIP PROSTHESIS BIOMECHANICS STRESS, MECHANICAL BODY WEIGHT BODY MASS INDEX REGRESSION ANALYSIS