Literature DB >> 11062359

Ambulatory level and asymmetrical weight bearing after stroke affects bone loss in the upper and lower part of the femoral neck differently: bone adaptation after decreased mechanical loading.

L Jørgensen1, N J Crabtree, J Reeve, B K Jacobsen.   

Abstract

The aim of this 1-year prospective study of acute stroke patients was to determine the effects of walking and asymmetrical weight bearing on the loss of bone mineral in the upper and lower femoral neck. Forty patients were followed. Eight remained unable to walk, whereas 32 relearned to walk independently within 7 months (12 shortly after the stroke, 15 by 2 months, 5 by 7 months). Bone mineral density (BMD) was measured in the proximal femur within the first week after stroke and 1 year later; regional BMD changes were computed for the lower and upper femoral neck. The lower part of the femoral neck is mainly influenced by compressive stresses of the hip, the upper part by tensile stresses during walking. When comparing mean BMD loss in groups of patients according to when they relearned to walk, a statistically significant trend in BMD loss was found in the lower femoral neck on both the paretic and nonparetic sides (p < 0.01 and p = 0.01, respectively), whereas, for the upper femoral neck, no significant trend was seen (p >/= 0.1). In addition, the body weight distribution during standing was assessed by use of a force-plate in 38 patients who could stand independently at the 7 month evaluation. The only significant correlation between changes in BMD and asymmetrical weight bearing was found in the lower femoral neck on the paretic side (r = 0.6, p < 0.001). In conclusion, this study shows that the reduction in BMD in the femoral neck occurs mainly in the lower part of the neck and on the paretic side. The BMD loss depended on when or if the patients relearned to walk, but also on the amount of body weight born on the paretic leg. Thus, measuring the lower part of the femoral neck gives a better estimate of the impact of gait and weight bearing than measuring the total femoral neck.

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Year:  2000        PMID: 11062359     DOI: 10.1016/s8756-3282(00)00374-4

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  39 in total

1.  Gait symmetry and velocity differ in their relationship to age.

Authors:  Kara K Patterson; Neelesh K Nadkarni; Sandra E Black; William E McIlroy
Journal:  Gait Posture       Date:  2012-01-31       Impact factor: 2.840

2.  A 19-week exercise program for people with chronic stroke enhances bone geometry at the tibia: a peripheral quantitative computed tomography study.

Authors:  M Y C Pang; M C Ashe; J J Eng; H A McKay; A S Dawson
Journal:  Osteoporos Int       Date:  2006-07-29       Impact factor: 4.507

3.  An assessment of the osteogenic index of therapeutic exercises for stroke patients: relationship to severity of leg motor impairment.

Authors:  R W K Lau; M Y C Pang
Journal:  Osteoporos Int       Date:  2008-10-23       Impact factor: 4.507

4.  Femoral neck geometry and hip fracture risk: the Geelong osteoporosis study.

Authors:  S El-Kaissi; J A Pasco; M J Henry; S Panahi; J G Nicholson; G C Nicholson; M A Kotowicz
Journal:  Osteoporos Int       Date:  2005-08-05       Impact factor: 4.507

5.  The role of movement errors in modifying spatiotemporal gait asymmetry post stroke: a randomized controlled trial.

Authors:  Michael D Lewek; Carty H Braun; Clint Wutzke; Carol Giuliani
Journal:  Clin Rehabil       Date:  2017-07-27       Impact factor: 3.477

6.  A community-based fitness and mobility exercise program for older adults with chronic stroke: a randomized, controlled trial.

Authors:  Marco Y C Pang; Janice J Eng; Andrew S Dawson; Heather A McKay; Jocelyn E Harris
Journal:  J Am Geriatr Soc       Date:  2005-10       Impact factor: 5.562

7.  Compromised bone strength index in the hemiparetic distal tibia epiphysis among chronic stroke patients: the association with cardiovascular function, muscle atrophy, mobility, and spasticity.

Authors:  M Y C Pang; M C Ashe; J J Eng
Journal:  Osteoporos Int       Date:  2009-10-31       Impact factor: 4.507

8.  Risk factors associated with injury attributable to falling among elderly population with history of stroke.

Authors:  Afshin A Divani; Gabriela Vazquez; Anna M Barrett; Marjan Asadollahi; Andreas R Luft
Journal:  Stroke       Date:  2009-07-23       Impact factor: 7.914

9.  Rapid long-term bone loss following stroke in a man with osteoporosis and atherosclerosis.

Authors:  Kenneth E S Poole; Elizabeth A Warburton; Jonathan Reeve
Journal:  Osteoporos Int       Date:  2004-06-10       Impact factor: 4.507

10.  Use of DXA-based structural engineering models of the proximal femur to discriminate hip fracture.

Authors:  Lang Yang; Nicola Peel; Jackie A Clowes; Eugene V McCloskey; Richard Eastell
Journal:  J Bone Miner Res       Date:  2009-01       Impact factor: 6.741

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