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Regardless of degree of independence of patients' ADLs, caregiver burden was severe. To decrease caregiver burden, it is necessary to use care services, reduce care time, and allow caregivers free time. In addition, it is possible to continue long-term home care by maintaining their relationships.
[Purpose] The purpose of this study was to assess the relationships between bilateral
knee extension strengths and gait performance in subjects with poststroke hemiparesis and
to predict gait performance by the paretic and nonparetic knee extension strength.
[Subjects and Methods] This was a correlational study in which 238 consecutive inpatients
with poststroke hemiparesis were enrolled. Knee extensor muscle strengths in paretic and
nonparetic lower limbs were measured with a handheld dynamometer, and the presence or
absence of impaired gait was also determined. [Results] The mean strength in the paretic
lower limb was 0.90 Nm/kg, and that in the nonparetic lower limb was 1.24 Nm/kg.
Discriminant analysis classified the difference between the possibility and impossibility
of gait by knee extensor muscle strength (standardized discriminant coefficient: paretic,
1.32; nonparetic, 0.55). Thus, paretic and nonparetic knee extension strengths were
integrated in the strength index. A threshold level of 2.0 provided the best balance
between positive and negative predictive values for the strength index. [Conclusion] The
results indicated that both paretic and nonparetic knee extension strengths were related
to gait performance. The strength index deduced from bilateral knee extension strengths
may serve as a clinically meaningful index for rehabilitation assessment and training.
Aims: This study provides data on predicting changes in cognitive functions, behavioral independences and disturbances in dementia patients by differential modeling with logarithmic and linear regression. Methods: This longitudinal study included two data analysis groups. Group one: 24 dementia patients for identification of cognitive and behavioral changes over time in group data; group two: 15 dementia patients to ensure correlation of the group data applied to prediction of each individual's degree of cognitive and behavioral changes. Group one mini-mental state examination, functional independence measure and dementia behavior disturbance scale scores were assessed initially and 3 and 6 months thereafter during hospitalization and were regressed on the logarithm and linear of time. In group two, calculations of the scores were made for the first two scorings after admission to tailor logarithmic and linear regression formulae to fit an individual's degree of changes at 9 and 12 months. Results: Changes in data over time resembled both logarithmic and linear functions. However, the scores sampled at two baseline points based on logarithmic regression modeling estimated prediction of cognitive and behavioral changes more accurately than did linear regression modeling. Conclusion: This simple-to-use logarithmic modeling accurately predicted changes in cognitive functions, behavioral independence and disturbances in patients with dementia.
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