Case report: Environmental adjustment for visual hallucinations in dementia with Lewy bodies based on photo assessment of the living environment.

Background: Visual hallucinations (VH) are associated with visual prediction error in patients with dementia with Lewy bodies (DLB). Given this relationship, environmental adjustments have been suggested, but detailed contents for implementing such environmental adjustments and assessments are poorly documented. This case report preliminarily demonstrates methods for improving VH through our experience with two patients with DLB. We conducted familial interviews to assess the phenomenological features of VH and reviewed photographs of patients' homes to identify the environmental triggers of VH, known as photo assessment of the living environment (PA-LE). Case description: Patient 1 was a 78-year-old woman with a Mini-Mental State Examination (MMSE) score of 11/30. She experienced seeing a stranger, children, and cats at home, which frightened her. VH frequently occurred in the living room and bedroom. The PA-LE showed that several environmental features, such as cushions on a sofa, the pattern on a carpet under a table, and clothing on hangers, were suggestive triggers of VH. Patient 2 was an 88-year-old woman with a MMSE score of 5/30. She had seen strangers, children, and animals at home, some of which were linked to a theft delusion. VH frequently occurred in the living room and bedroom. The PA-LE found that several environmental features, such as clothing on hangers and dolls, were suggestive of VH triggers. Non-pharmacological approaches were tailored to the patients' environmental and psychological states using interviews and PA-LE. This included removing environmental triggers, reducing negative mood, and providing coping strategies for VH. This improved their VH and their caregivers' knowledge of VH. Conclusion: Phenomenological assessments using photographs of the patient's home could identify the environmental triggers associated with VH in patients with DLB and assist in environmental adjustments.

Aspects of Rest-Activity Rhythms Associated With Behavioral and Psychological Symptoms in Moderate and Severe Dementia: Results of a Cross-sectional Analysis.

OBJECTIVE: Disturbances in rest-activity rhythms (RAR) are commonly observed in patients with dementia; however, the influence thereof on behavioral and psychological symptoms of dementia (BPSD) remains unexplored. This study aimed to determine whether there is an association between RAR and BPSD among patients with moderate and severe dementia. METHODS: RAR analyses of 64 participants were performed using actigraphy. BPSD was assessed using the Neuropsychiatric Inventory-Nursing Home (NPI-NH) scale, and other clinical variables were assessed by the Mini-Mental State Examination, Cognitive Test for Severe Dementia, and Hyogo Activities of Daily Living Scale. Correlations among RAR, sleep time, and BPSD were analyzed. A stepwise multiple linear regression analysis was conducted to examine the association of RAR and sleep time with BPSD. The demographic variables were also adjusted. Variables were compared between two groups with aberrant and nonaberrant activity peak timing. RESULTS: Correlation analysis showed that longer maximum durations of activity and shorter daytime sleep were associated with higher NPI-NH scores. Stepwise multiple linear regression analysis showed that maximum activity duration predicted the NPI-NH score after adjustment for the demographic variables. There was no significant difference in any variables between the groups with aberrant and nonaberrant activity peak timing. CONCLUSION: RAR is associated with BPSD in moderate-to-severe dementia, which should be considered with regard to treatment.

Criteria for detection of possible risk factors for mental health problems in undergraduate university students.

Introduction: Developing approaches for early detection of possible risk clusters for mental health problems among undergraduate university students is warranted to reduce the duration of untreated illness (DUI). However, little is known about indicators of need for care by others. Herein, we aimed to clarify the specific value of study engagement and lifestyle habit variables in predicting potentially high-risk cluster of mental health problems among undergraduate university students. Methods: This cross-sectional study used a web-based demographic questionnaire [the Utrecht Work Engagement Scale for Students (UWES-S-J)] as study engagement scale. Moreover, information regarding life habits such as sleep duration and meal frequency, along with mental health problems such as depression and fatigue were also collected. Students with both mental health problems were classified as high risk. Characteristics of students in the two groups were compared. Univariate logistic regression was performed to identify predictors of membership. Receiver Operating Characteristic (ROC) curve was used to clarify the specific values that differentiated the groups in terms of significant predictors in univariate logistic analysis. Cut-off point was calculated using Youden index. Statistical significance was set at p < 0.05. Results: A total of 1,644 students were assessed, and 30.1% were classified as high-risk for mental health problems. Significant differences were found between the two groups in terms of sex, age, study engagement, weekday sleep duration, and meal frequency. In the ROC curve, students who had lower study engagement with UWES-S-J score < 37.5 points (sensitivity, 81.5%; specificity, 38.0%), <6 h sleep duration on weekdays (sensitivity, 82.0%; specificity, 24.0%), and < 2.5 times of meals per day (sensitivity, 73.3%; specificity, 35.8%), were more likely to be classified into the high-risk group for mental health problems. Conclusion: Academic staff should detect students who meet these criteria at the earliest and provide mental health support to reduce DUI among undergraduate university students.

Increased digital media use is associated with sleep problems among university students: A study during the COVID-19 pandemic in Japan.

This retrospective cohort study investigates the association between the incidence of sleep problems and changes in digital media use among university students during the COVID-19 pandemic. It used data from annual health check-ups performed at a Japanese university in 2019 and 2020. Students undergoing these check-ups were identified to respond to questions about sleep problems, digital media use, breakfast and exercise habits, and stress. In total, 3,869 students were included in the analysis. The association between the incidence of sleep problems in 2020 and the changes in digital media use between 2019 and 2020 was assessed using logistic regression models. The rate of long digital media use (≥ 2 hours) in 2019 was 42.6%, while in 2020 it was 53.6%. Incidence of sleep problems was observed in 244 students (6.3%) in 2020. There were 786 students (20.3%) who used digital media for ≤ 2 h in 2019 and ≥ 2 h in 2020. From the sample, 66 students (8.4%) reported incidence of sleep problems in 2020. Additionally, those respondents who specifically reported increased digital media use between 2019 and 2020 (increased use) where at greater risk (OR: 1.76; 95% CI: 1.21, 2.55) of reporting sleep problems in 2020, even after controlling for other study variables. Thus, this study provides evidence that the incidence of sleep problems has had a significant association with an increase in digital media use among university students throughout the COVID-19 pandemic. These findings highlight the importance of ensuring appropriate digital media use among students for improved quality of sleep.

Clinical utility of an assessment scale for engagement in activities for patients with moderate-to-severe dementia: additional analysis.

BACKGROUND: We developed the assessment scale for engagement in activities (ASEA), an assessment tool used to quantify engagement in therapeutic activities for patients with moderate-to-severe dementia. In this study, we report additional analyses to confirm the viability of ASEA as a reliable measurement scale. METHODS: This study included 195 patients with moderate-to-severe dementia in a psychiatric acute-phase hospital. Additional analyses based on the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) checklist were as follows: (i) exploratory and confirmatory factor analysis; (ii) standard error of measurement (SEM), minimal detectable change (MDC) and limit of agreement (LOA); (iii) short change score from baseline to 2 weeks; and (iv) correlation to the facial expression analysis system. RESULTS: Exploratory factor analysis yielded two factors. This two-factor model of ASEA exhibited an acceptable and validated model fit (comparative fit index = 0.954, Tucker Lewis index = 0.936, goodness-of-fit index = 0.927, adjusted goodness-of-fit index = 0.873, root mean square error of approximation = 0.091, standardised root mean square residual = 0.045) by confirmatory factor analysis. SEM and MDC were 1.29 and 3.80, respectively. The Bland-Altman plot for examining LOA showed no apparent fixed bias. From baseline to 2 weeks later, 129 participants were retested. The mean ASEA total score improved significantly (Wilcoxon signed-rank test; P < 0.01, effect size = 0.25) from baseline (14.30 ± 2.63) to 2 weeks later (15.00 ± 2.73). The correlation between each emotion value was calculated using Kokoro sensor, which is an affect analysis based on human facial expression data using deep learning. For the 36 video data samples, the total score and domains of arousal, interaction, and affect in ASEA were statistically significantly correlated with the emotion value of joy, engagement, and valence (Spearman rank correlation; P < 0.05). CONCLUSIONS: Among the few evaluation methods specific to severe dementia, ASEA is a useful scale for quantifying and evaluating the state of engagement in therapeutic activities.

Case Report: Treatment of Delusions of Theft Based on the Assessment of Photos of Patients' Homes.

Background: The occurrence of behavioral and psychological symptoms of dementia is affected by individualized context. However, details regarding delusion of theft have been poorly documented. This report describes a useful assessment to understand the environmental context of delusion through two cases of Alzheimer's disease (AD).Familial interview was conducted to assess the phenomenological features. Photos of patients' homes were used to increase the assessment accuracy and check the individualized environmental contexts; this is known as Photo Assessment of Living Environment (PA-LE). Case Description: Case 1 was of an 88-year-old woman whose Mini-Mental State Examination (MMSE) score was 23/30. She believed that one neighbor stole her wallet and stored it on a shelf in the living room. She sometimes placed it in other places, such as under the bed as safekeeping. The delusion often occurred when getting ready to go shopping. PA-LE confirmed that the room and shelf were not cluttered, although the incorrect storage place seemed to be hard-to-find.Case 2 was of a 78-year-old woman. The MMSE score was 20/30. She believed that some neighbors stole her garden items. The delusion was limited to her garden, yet the items were varied. Auditory hallucinations exacerbated her belief that the neighbors intruded the garden. PA-LE confirmed that the garden was cluttered with several duplicated items. Moreover, the patient inaccurately remembered the condition of the garden.Non-pharmacological approaches were tailored to the patients' environmental and psychological states, referring to the interview and PA-LE. This included environmental adjustment or increasing self-esteem. Antipsychotics were also prescribed. Environmental and psychological triggers of delusion were improved by the interventions, and the patients had uneventful courses without active delusions. Conclusion: Evaluating patients' homes using photos could detect the environmental context of delusion of theft among patients with AD and assist in the management.

Factors influencing the quality of life in patients with severe dementia.

BACKGROUND: A comprehensive understanding of the relevant factors involved in improving quality of life (QoL) is essential in patients with severe dementia; however, rating scales used in previous studies may not adequately reflect the factors that affect these patients. The purpose of this study was to identify factors that contribute to QoL using an evaluation scale suitable for patients with severe dementia. METHODS: The current cross-sectional study was conducted at a hospital for recuperation in Hyogo prefecture in Japan. The measurement scales included the QoL in Late-Stage Dementia Japanese version (QUALID-J), Cognitive Test for Severe Dementia, Neuropsychiatric Inventory-Nursing Home (NPI-NH), Physical Self-Maintenance Scale (PSMS), Pain Assessment in Advanced Dementia (PAINAD), and Special Care Unit Environment Quality Scale (SCUEQS). Multiple regression analyses were performed. RESULTS: We assessed a total of 105 patients with severe dementia (80 women; aged 87.3 ± 6.3 years). Multiple regression demonstrated that the QUALID-J total score was significantly affected by the NPI-NH and PAINAD scores. Factors 1 (expression of comfort) and 2 (expression of discomfort) of the QUALID-J were significantly affected by the PSMS and PAINAD, and the NPI-NH and PAINAD scores, respectively. CONCLUSION: Our results indicate that behavioural and psychological symptoms of dementia and pain are important factors in influencing the QoL of patients with severe dementia.

Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic.

This study aimed to clarify the adaptation features of University students exposed to fully online education during the novel coronavirus disease 2019 (COVID-19) pandemic and to identify accompanying mental health problems and predictors of school adaptation. The pandemic has forced many universities to transition rapidly to delivering online education. However, little is known about the impact of this drastic change on students' school adaptation. This cross-sectional study used an online questionnaire, including assessments of impressions of online education, study engagement, mental health, and lifestyle habits. In total, 1,259 students were assessed. The characteristics of school adaptation were analyzed by a two-step cluster analysis. The proportion of mental health problems was compared among different groups based on a cluster analysis. A logistic regression analysis was used to identify predictors of cluster membership. P-values < 0.05 were considered statistically significant. The two-step cluster analysis determined three clusters: school adaptation group, school maladaptation group, and school over-adaptation group. The last group significantly exhibited the most mental health problems. Membership of this group was significantly associated with being female (OR = 1.42; 95% CI 1.06-1.91), being older (OR = 1.21; 95% CI 1.01-1.44), those who considered online education to be less beneficial (OR = 2.17; 95% CI 1.64-2.88), shorter sleep time on weekdays (OR = 0.826; 95% CI 0.683-.998), longer sleep time on holidays (OR = 1.21; 95% CI 1.03-1.43), and worse restorative sleep (OR = 2.27; 95% CI 1.81-2.86). The results suggest that academic staff should understand distinctive features of school adaptation owing to the rapid transition of the educational system and should develop support systems to improve students' mental health. They should consider ways to incorporate online classes with their lectures to improve students' perceived benefits of online education. Additionally, educational guidance on lifestyle, such as sleep hygiene, may be necessary.

Insight Into Illness and Psychological Defense Attitudes in People With Chronic Schizophrenia Using Markova's Insight Scale.

ABSTRACT: Insight into illness is a multidimensional phenomenon, and various assessments are available. We focused on Markova's Insight Scale (IS) and investigated the relationship between insight, psychological defenses, and neurocognition in 38 patients with schizophrenia. Results showed that insight was significantly correlated with an immature defense style. Moreover, IS was significantly predicted by immature defense style after adjusting for clinical variables. Although insight is often assumed to be multidetermined with potential contributions from factors such as cognitive function and psychological defensive mechanisms, our results indicated that better insight assessed with the IS is more likely to reflect immature defenses. This may also be reflected in our result that a higher insight score correlated with earlier onset of illness. The insight score may reflect the immature psychological defensive attitudes of schizophrenia and may lead such patients to wish to comply with the views of clinicians.

Development of an assessment scale for engagement in activities for patients with moderate to severe dementia.

BACKGROUND: Various types of therapy, including occupational therapy, are utilised for the treatment of moderate to severe dementia. In order to determine the optimal rehabilitation strategy for such patients and examine the treatment efficacy, an assessment scale for engagement in various group activities that can be easily applied in clinical situations is required. We herein report the development of the Assessment Scale for Engagement in Activities (ASEA) and its clinical utility. METHODS: The ASEA was developed by nine occupational therapists and a psychiatrist with experience in developing measures for dementia, in accordance with the COSMIN (COnsensus-based Standards for the selection of health status Measurement INstruments) checklist. This assessment comprises 10 items covering four domains: Engagement in the Activity, Interaction, Arousal, and Affect. Participants with moderate to severe dementia who resided in a psychiatric acute phase hospital in Japan were assessed in terms of engagement in activities using the ASEA and Todai-shiki Observational Rating Scale (TORS), and in terms of cognitive function using the Mini-Mental State Examination (MMSE). We examined the internal consistency, inter- and intra-rater reliability, content validity, and concurrent validity of the ASEA. RESULTS: Cronbach's alpha of the ASEA was 0.889. The overall inter-rater reliability was 0.937 (Spearman rank correlation, P < 0.001), and the intraclass correlation (ICC) for each item was 0.490-0.965 (P < 0.018-0.001). The overall test-retest reliability was 0.778 (Spearman's rank correlation, P < 0.001), and the ICC for each item was 0.498-0.863 (P < 0.023-0.001). The test-retest correlations were significant for almost all items, aside from 'Interaction with others' (P = 0.051). The concurrent validity, examined using the TORS and MMSE, was 0.920 and 0.304 (Spearman's rank correlation, P < 0.001-0.006). CONCLUSIONS: The ASEA has confirmed reliability and validity, aside from 'Interaction with others' regarding test-retest reliability. Generally, this assessment tool has clinical utility and allows the evaluation of activity engagement among patients with moderate to severe dementia.

Impact of Disturbed Rest-activity Rhythms on Activities of Daily Living in Moderate and Severe Dementia Patients.

PURPOSE: People with dementia exhibit disturbed rest-activity rhythms and extended sleep duration issues throughout their disease. Little is known about the effects of these issues on clinical problems for those with moderate and severe dementia. This cross-sectional study aimed to examine the associations of disturbed rest-activity rhythms and extended sleep duration with activities of daily living (ADL). METHODS: Sleep parameters were measured using an actigraphy device. Cognitive function was assessed using the Mini-Mental State Examination and Cognitive Test for Severe Dementia, the Hyogo Activities of Daily Living Scale was used to assess ADL, and behavioral and psychological symptoms of dementia were assessed using the Neuropsychiatric Inventory-Nursing Home scale. Associations among rest-activity rhythms, sleep duration, and other clinical variables were analyzed with multiple linear regression. Clinical variables were compared between 2 groups categorized by onset timing of rest peak. PATIENTS: Sixty-four participants with moderate and severe dementia were assessed. RESULTS: In the correlation analysis, unstable daily rest-activity rhythm was associated with lower ADL. In the multiple linear regression analysis, low intradaily variability, and long daytime sleep duration were associated with low ADL. Aberrant rest peak timing showed lower ADL compared with nonaberrant timing. CONCLUSIONS: Abnormal rest-activity rhythm and sleep duration in persons with moderate and severe dementia may affect ADL.

Physical Activity in Severe Dementia Is Associated With Agitation Rather Than Cognitive Function.

BACKGROUND: The authors examined associations between physical activity, cognitive function, activities of daily living, and behavioral and psychological dementia symptoms (BPSD) in severe and moderate dementia. METHODS: A cross-sectional study was conducted to assess severe and moderate dementia groups according to the Clinical Dementia Rating. An actigraphy measured physical activity. Other measures included Mini-Mental State Examination, Cognitive Test for Severe Dementia, Hyogo Activities of Daily Living Scale, and Neuropsychiatric Inventory-Nursing Home. RESULTS: Sixty-three participants were assessed (mean age = 89.3 ± 6.4). Physical activity was not associated with cognitive function among participants with severe dementia, although there was a trend-level association with cognitive function among those with moderate dementia. Physical activity was significantly associated with BPSD, specifically agitation/aggression symptoms, for participants with severe dementia, and there was a trend-level association with anxiety for participants with moderate dementia. CONCLUSIONS: Physical activity appears to be associated with BPSD among individuals in the advanced stages of dementia.

Clinical factors associated with activities of daily living and their decline in patients with severe dementia.

BACKGROUND: To identify the clinical factors affecting activities of daily living (ADL) at baseline and after 6 months. METHODS: We conducted a single-centre observational study at two time points across 6 months (baseline and after 6 months) from April 2015 to March 2017. in a 270-bed rural recuperation hospital at Hyogo prefecture in Japan. The total number of participants was 131 (male 33, female 98; mean age: 87.0 ± 7.0; mild and moderate dementia, 38; severe dementia, 93). Measurement scales used were Personal Self-Maintenance Scale (PSMS) for assessing ADL, Mini-Mental State Examination and Cognitive Test in Severe Dementia (CTSD) for cognitive function, Neuropsychiatric Inventory-Nursing Home version and Cornell Scale for Depression in Dementia (CSDD) for behavioural/psychological symptoms of dementia, Mini Nutritional Assessment Short form (MNA-SF) for nutritional status, Pain Assessment in Advanced Dementia for pain, and Charlson comorbidity index (CCI) and the number of illness categories based on Cumulative Illness Rating Scale Geriatrics for comorbidities. Multiple regression analyses identified the association between PSMS score as the dependent variable and other variables as independent variables. RESULTS: In participants with severe dementia, the PSMS scores at baseline were significantly associated with CTSD, CCI, MNA-SF, and CSDD scores. In the longitudinal analysis, only CTSD score was significantly associated with PSMS score after 6 months. It is noteworthy that for participants with severe dementia, the only factor associated with ADL after 6 months was cognitive function, as assessed by CTSD score. CONCLUSIONS: The most important factor predicting functional decline is cognitive function, even at the severe and profound stage.

Insight Into Illness and Defense Styles in Schizophrenia.

Although the psychological denial model argues that poor insight is a result of defense mechanisms, the direct relationship between the two remains unclear. This study aimed to examine the relationship between insight into illness and defense mechanisms while considering cognitive dysfunction in schizophrenia. A total of 38 patients with schizophrenia were evaluated for level of insight (Schedule for the Assessment of Insight), defense mechanisms (Defense Style Questionnaire), neurocognitive function (Brief Assessment of Cognition in Schizophrenia), and psychotic symptoms (Brief Psychiatric Rating Scale). Regarding level of insight, partial correlation analysis controlling neurocognitive and psychotic variables showed that "recognition of illness" was positively correlated with immature defense styles and negatively correlated with mature defense styles. Stepwise regression analyses revealed that "recognition of illness" was significantly predicted by immature defense styles. Our findings suggest that patients who tend to use immature defense styles are more likely to accept their own mental illness.

Clinical Utility of the Cognitive Test for Severe Dementia: Factor Analysis, Minimal Detectable Change, and Longitudinal Changes.

AIMS: This study sought to conduct additional analyses of the Cognitive Test for Severe Dementia (CTSD) using the COSMIN checklist to ensure the development of adequate outcome measures. METHODS: The following analyses were conducted: (1) factor analyses were used to evaluate construct validity; (2) the standard error of measurement (SEM) and minimal detectable change (MDC) were assessed to evaluate reliability and interpretability; and (3) longitudinal change was assessed to evaluate responsiveness. RESULTS: The CTSD factor analysis yielded 2 factors, each of which was dichotomized by the passage rate of each item. We calculated a SEM and MDC of 1.6 and 3.6 points, respectively. Finally, the mean CTSD score showed a significant reduction (p < 0.001) over time, and the change in score exceeded the SEM and MDC. CONCLUSION: Our results indicate that the CTSD could provide a reliable outcome measure in severe dementia.

Development of the Japanese version of the Quality of Life in Late-stage Dementia Scale.

AIM: Until now, there has been no instrument to measure the quality of life (QoL) of patients with severe dementia in Japan. The purpose of this study was to translate the Quality of Life in Late-stage Dementia Scale and to evaluate the reliability and validity of the Japanese version (QUALID-J). METHODS: We translated the Quality of Life in Late-stage Dementia into Japanese with permission from the original authors. We assessed a total of 70 dementia patients (14 men, 56 women; mean age: 87.4 ± 7.9 years) with the QUALID-J. RESULTS: The test-retest and inter-rater reliability of the QUALID-J was significant. With regard to the criterion-related validity, the correlation coefficient for the total score between the QUALID-J and Quality of Life for Alzheimer's Disease was -0.287 (P < 0.05). With regard to the construct validity, the QUALID-J total score was significantly correlated with the Mini-Mental State Examination (ρ = -0.346, P < 0.01), the Cognitive Test for Severe Dementia (ρ = -0.323, P < 0.01), the Neuropsychiatry Inventory-Nursing Home version (ρ = 0.386, P < 0.01), the Cornell Scale for Depression in Dementia (ρ = 0.262, P < 0.05), the Physical Self-Maintenance Scale (ρ = -0.283, P < 0.05), and the Pain Assessment in Advanced Dementia (ρ = 0.530, P < 0.01). CONCLUSION: The results of this study showed that the QUALID-J is a reliable and valid quality of life scale for severe dementia. This scale finally enables an adequate assessment of the quality of life of patients with severe dementia in Japan, which has not been possible until now.