Lower-limb risk factors for falls in people with diabetes mellitus (original) (raw)

MacGilchrist, C., Paul, L., Ellis, B. M., Howe, T. E., Kennon, B. and Godwin, J.(2010) Lower-limb risk factors for falls in people with diabetes mellitus.Diabetic Medicine, 27(2), pp. 162-168. (doi: 10.1111/j.1464-5491.2009.02914.x)

Full text not currently available from Enlighten.

Abstract

P>Background Older people with diabetes mellitus (DM) may be at high risk of falling because of general risk factors for falls as well as disease-specific factors. Aims To determine the prevalence of falls and to investigate lower-limb factors for falls in older people with DM. Methods Sixty patients with DM over 55 years of age were recruited. 'Fallers' were those who self-reported at least one fall in the previous year. In addition to diabetes status and demographic information, the following were assessed: neuropathy symptom score (NSS), neuropathy disability score (NDS), foot deformity score (FDS), Tinetti performance-oriented assessment of mobility (POMA), ankle muscle strength and gait parameters. Data from 'fallers' and 'non-fallers' were compared and logistic regression analysis performed to identify variables predictive of falls. Results Thirty-five per cent (n = 21) of participants had fallen in the preceding year. Compared with 'non-fallers', there was a greater incidence of peripheral neuropathy among 'fallers' (86% of 'fallers' and 56% of 'non-fallers'), higher vibration perception threshold (P = 0.04), slower gait velocity (P < 0.001), lower muscle strength for dorsiflexion, plantarflexion, inversion and eversion (all P < 0.001) and higher incidence of bony prominences and prominent metatarsal heads (both P < 0.001). There was a strong and significant correlation between dorsiflexion muscle strength and gait velocity. Logistic regression analysis determined that walking velocity, strength of ankle dorsiflexors and NSS accurately predicted 75% of 'fallers'. Conclusions Simple clinical measures of gait velocity and ankle muscle strength may be used to identify people with DM at risk of falling, allowing preventative strategies to be implemented

University Staff: Request a correction | Enlighten Editors: Update this record

Deposit and Record Details