Introduction: Multimodal non-pharmacological interventions (MNPIs) have been reported to be effective in improving the cognitive function. Therefore, it is necessary to study these interventions in older people with dementia (PWD) in nursing homes (NHs). Aims: This study aimed to investigate the effects, contents, frequency, duration, length, and form of MNPIs on the global and specific cognitive functions of PWD in NHs through a systematic review, and to consider what kind of intervention design is most effective. Methods: A systematic search of peer-reviewed literature published between January 2008 and October 2018 was performed on the PubMed, Cochrane Library, Web of Science and CINAHL databases. Results: Six randomized controlled trials (RCTs) and one non-RCTs were extracted from electronic databases, and a review was carried out. Conclusion: Our review suggests that MNPIs may improve the global, executive function and memory of PWD in NHs. The combination of exercise, cognitive training and activities of daily living, and intervention at least 3 times a week over at least 8 weeks with, at least 30 min per session using the integrated form is recommended for improving the global and specific cognitive functions of PWD in NHs.

This cross-sectional study aimed to determine the association between phase angle (PhA) and physical activity intensity in community-dwelling older Japanese adults. The intensity and time of physical activity for predicting high PhA were also examined. This study involved 67 community-dwelling older adults (mean age: 78.3 ± 5.5; female: 83.6%). We measured the physical activity and body composition of the participants. Physical activity was measured using a triaxial accelerometer, and light-intensity physical activity (LPA) and moderate-to-vigorous intensity physical activity (MVPA) hours per day were calculated from the results. Body composition was measured using Inbody S10, and the PhA was calculated from the measurements of the right side of the body. Bayesian statistical modeling revealed an association between PhA and MVPA (β = 0.256; p = 0.022; 95% Bayesian confidence interval [CI] = 0.001, 0.012), but not LPA (β = −0.113; p = 0.341; 95% Bayesian CI = −0.002, 0.001), even after adjustment for confounders. The cutoff value of MVPA predicting high PhA, calculated by the receiver operator characteristic curve, was 19.7 min/d (sensitivity = 0.906; specificity = 0.429). These results can be used to develop strategies to increase PhA in older adults and suggest that MVPA is important in this population.

Empowerment scales for inpatients have been developed worldwide, but their validity and reliability have not been adequately tested and applied to the health promotion and care among older adults during hospitalization. In this study, the Patient Empowerment Scale developed by Faulkner was translated into Japanese, and Japanese patients were surveyed to test its clinical applicability. To test its applicability, 151 patients in rehabilitation wards were surveyed in four municipalities. After considering ceiling/floor effects and validating the structure, the Patient Empowerment Scale—Japanese comprised 37 items and six factors: subject–staff interaction, environmental adjustment through collaboration, necessary information gathering and problem awareness, proactive behavioral practices, self-disclosure, and self-management of activities. Criteria-related validity assessment confirmed the scale’s correlation with the Health Locus of Control Scale, General Self-Efficacy Scale, 13-item Sense of Coherence Scale, Rosenberg Self-Esteem Scale, and Philadelphia Geriatric Center Morale Scale. Regarding internal consistency, the Cronbach’s alpha was 0.93 for all 37 items. The Cronbach’s alphas for the six factors were 0.93, 0.91, 0.92, 0.92, 0.91, and 0.75, respectively. In our test/re-test of reliability, Spearman’s rank correlation coefficient between the first and second total scores was ρ = 0.96, p < 0.01. These results confirm the scale’s validity and reliability, and its applicability to older hospitalized patients.

In the present study, 151 Japanese older adults aged over 65 years and admitted to recovery-phase rehabilitation facilities were enrolled to investigate the relationship between empowerment and contextual factors, functioning and disability, with structural equation modeling (SEM). The analysis included 151 patients aged 81.75 ± 7.15 years, including 54 males (35.76%) and 97 females (64.24%). The results of the SEM analysis showed that role presence (β = 0.45, p < 0.01) and family structure (β = 0.18, p = 0.02) significantly impacted empowerment. In addition, the results showed that patient empowerment positively impacted physical activity (β = 0.25, p < 0.01) and psychosomatic functions and abilities (β = 0.36, p < 0.01). Furthermore, the goodness-of-fit of the model hypothesized in this study was shown to have explanatory power. This study showed that empowerment contributed to the prevention of physical inactivity and confinement among Japanese older patients. In other words, the study provided evidence for the importance of empowerment-based program planning in the practice of person-centered care aimed at promoting the health and discharge of older patients in Japan.

Background: Residents in nursing homes are prone to cognitive decline affecting memory, visuospatial cognition, and executive functions. Cognitive decline can lead to dementia, necessitating prioritized intervention. Methods: The current study aimed to investigate whether an intervention using a digital game was effective for preserving and improving the cognitive function of residents in nursing homes. An intervention study was conducted using a single-case AB design with multiple baselines. The participants in the study were five older adults aged 65 and over who do not play digital games regularly. The study ran for 15 weeks, including a baseline (phase A) and an intervention phase (phase B). Phase A had five baselines (5 to 9 weeks) with random participant assignment. In phase B, participants engaged in a digital game (Space Invaders) individually. Cognitive function was assessed as the outcome, measured using the Brain Assessment (performed on a tablet through the Internet) at 16 measurement points. Four of five participants (two female and two male) were included in the analysis, using visual inspection and Bayesian statistics with multi-level modeling. Results: Visual inspection of the graphs revealed cognitive function score improvements after the intervention for most layers in terms of memory of numbers, memory of words, mental rotation test (visuospatial ability), and total scores in the Brain Assessment. These effects were also significant in the analysis by multi-level modeling. Conclusions: The results suggest that the use of digital games may be effective for preserving and improving cognitive function among residents of nursing home. Trial registration: This study was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000048677; public title: Effect of a Digital Game Intervention for Cognitive Functions in Older People; registration date: August 30, 2022).

The study explored cross-sectional associations between loneliness and occupational dysfunction in community-dwelling older adults. Seventy-four older adults (12 men and 62 women; mean age years) completed a questionnaire survey that included the Japanese version of the UCLA Loneliness Scale Version 3 and the Classification and Assessment of Occupational Dysfunction (CAOD). Bayesian statistical modeling was used for a more stable estimation given the small sample. For model selection, we assumed a univariate analysis model of the CAOD (Model 1); a multivariate analysis model, including confounding factors in Model 1 (Model 2); and a multivariate analysis model, including random effects in Model 2 (Model 3). The best model was selected by comparing the widely applicable information criterion (WAIC) and the widely applicable Bayesian information criterion (WBIC) for each model. Bayesian statistics with the dependent variable as “loneliness” showed that the best model used “occupational dysfunction” as the independent variable and included confounding factors and random effects ( and ). The best model identified an association between occupational dysfunction and loneliness (odds ratio ; 95% Bayesian confidence interval ). This study highlights the role of occupational dysfunction in addition to the risks and related factors reported to date when dealing with loneliness. Therapists could help older adults cope with loneliness by supporting their social participation and improving their occupational dysfunction.