This study determines if older adults can masticate regular foods via a simple test conducted using a color-changeable chewing gum. Seventy-nine consecutive inpatients of our clinic receiving rehabilitation and general medicine were assessed for eligibility. The inclusion criterion was >65 years. Thirty patients consented to participate. The main outcome variable was the food bolus texture at the swallowing threshold for five regular foods. The main explanatory variable was the a* value of the color-changeable chewing gum after 120 s of chewing (a* represents the degree of color between red and green, and a positive a* value indicates red). The mean age ± standard deviation of the participants was 81.6 ± 8.6 years, and 40% were men. Participants being able to prepare the food with suitable texture for swallowing was positively associated with the a* values in boiled rice, ginger-fried pork loin, boiled fish-paste, and rice cracker (Crude OR 1.18, 1.15, 1.17, and 1.50; P < 0.001, = 0.026, <0.001, and <0.001, respectively). The cut-off a* values had markedly high specificities (1.0) for boiled rice and boiled fish-paste and high sensitivities (0.86–0.94) for three foods, except boiled rice. We believe that mastication evaluation using the color-changeable chewing gum is not only useful but also extremely practical, even for older adults in a wide range of settings, including an individual’s home. This approach would lead to a reduction in unnecessary mechanically altered or pureed food for older adults who can eat pureed food and safely provide palatable food.
Time from hindfoot peak to forefoot peak and percent change in forefoot pressure at forefoot peak and hindfoot peak were the best indicators of STS motion difficulty.
BackgroundMedication self-management in stroke patients is important to prevent further progression of disease and incidence of side effects. The purpose of this study was to create a formula for predicting medication self-management introduction in stroke patients using functional independence measure items and patient data, including medication-related information.MethodsThis was a retrospective analysis of 104 patients (cerebral infarction, cerebral hemorrhage, subarachnoid hemorrhage) discharged from the Kaifukuki rehabilitation ward at Showa University Fujigaoka Rehabilitation Hospital from January to December 2012. Multivariate analysis was performed to develop a formula for predicting achievement of medication self-management.ResultsOf the 104 patients, 39 (37.5%) achieved medication self-management. In the logistic regression analysis, number of drugs, age, walk/wheelchair mobility FIM, and memory FIM were extracted as significant factors independently contributing to achievement of medication self-management (p < 0.05). The prediction formula was [4.404 − 0.229 × number of drugs at admission + 0.470 × walk/wheelchair mobility FIM at admission + 0.416 × memory FIM at admission − 0.112 × age].ConclusionsIn the future, this formula may be used as an index to predict success of medication self-management in stroke patients.
[Purpose] Although cardiac rehabilitation (CR) is recommended for patients with chronic
heart failure (CHF), adequate exercise effect cannot be obtained in elderly patients.
Administration of amino acids (AA) to CHF patients has been reported to improve exercise
capacity, but the changes in AA composition in plasma before and after CR had not been
reported. This study aimed to measure plasma levels of AA in CHF patients and compare with
values of normal range. In addition the relationship between the change of exercise
capacity and AA were examined. [Subjects and Methods] Twelve CHF patients (60% males, aged
68 ± 12 years) were studied. The correction between the rates of changes in exercise
capacity parameters and in plasma AA levels was investigated. [Results] Anaerobic
threshold (AT) and peak oxygen uptake (VO2) improved significantly after CR.
The AA profile showed no specific pattern, and citrulline (Cit) was the amino acid showing
a significant positive correlation with exercise capacity (∆Cit vs. ∆AT: r=0.602, ∆Cit vs.
∆AT-work rate (WR): r=0.681, ∆Cit vs. ∆VO2/WR: r=0.635). A tendency of positive
correlation was observed between ∆Cit and ∆peak VO2 (r=0.456). [Conclusion] The
AA profile showed no specific pattern, but a relationship between change in exercise
capacity and Cit were found.
We are following the patient, providing training in the movements needed for child care and suggesting environmental improvements for the mother and infant. As a result, her recovery from disability has been promoted.
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