OBJECTIVEMany elderly patients with hip fracture (HF) present with gait deficits. As such, an HF both indirectly and directly increases the number of elderly people requiring care, making it a major medical and economic problem in an aging society. To facilitate the treatment of HF and attempt to resolve the consequences, we have attempted to derive an equation that would predict gait ability. The prediction equation was developed by multivariate analysis using standard evaluation methods, with inclusion of guaranteed objectivity where possible. We attached greater importance to the prediction of gait ability early in the period of hospitalization, since this allows for early determination of an efficient therapeutic strategy.

METHODSThe subjects were 54 HF patients (six men, 48 women; mean age: 78.0 +/- 8.4 years) admitted to general hospitals in Hirosaki, Aomori prefecture, between 1998 and 2007. All were aged 60 years or older and were able to walk immediately before injury; physical therapy was initiated for all individuals during hospitalization. Evaluation items related to physical function, psychological function, and complications that may affect gait were evaluated; these included the manual muscle test, motor age test, Katz's index, dementia (HDS-R), consciousness disturbance, among others.

RESULTSBased on data for 35 patients who could gait at discharge and 19 patients who could not, a model including MAT, HDS-R, and the New York Heart Association classification of cardiac function scores (P < 0.001) was obtained using multiple logistic regression analysis (discriminant hitting ratio: 94.4%).

CONCLUSIONSThe effectiveness of the derived model suggests that both physical and psychological functions should be considered for gait prediction.

OBJECTIVESNormal activity monitoring methods are mainly useful for relatively healthy and ablebodied people, but are not necessarily appropriate for elderly persons who may have difficulty in walking, or for the frail who may be bedridden. The purpose of this study was to examine 24-hour heart rate recording for the comparison of activity levels in daily life of elderly persons of different ambulatory abilities.

METHODSForty-two elderly females (mean, 82.1 years old) volunteered to participate in this study. The subjects were divided into four groups on the basis of their ambulatory status, and their 24-hour heart rate recordings were compared with their results of activity assessments.

RESULTSThe results of activity assessments showed a tendency to decrease as the ambulatory ability of the group decreased. The "total heart beats", calculated as the sum of all heart rates over 24 hours, were almost the same among the four groups, and therefore did not show a similar tendency. However, the "total excess-beats product (TEBP)" correlated with the results of activity assessments. TEBP was calculated as the sum of all differences in beats between each heart rate in 24 hours and the mean heart rate during sleeping at night. Therefore, TEBP may reflect a more active state than the bedridden state.

CONCLUSIONSThese results suggest that comparison of activity levels in daily life using 24-hour heart rate recording might be possible by the calculation of TEBP, and that this method might be useful for the comparison of the activity levels of elderly persons of diffent ambulatory abilities.