Effectiveness of Non-Pharmacological Interventions for Dementia among the Elderly: A Randomized Controlled Trial.

(1) Background: Up until now, there is still no medicine that can cure dementia, but there are some that can only help slow down the progression of the disease and reduce some symptoms. Pharmacological interventions for dementia have many side effects and are expensive, so non-pharmacological treatments for dementia become more urgent. This study aimed to evaluate the effectiveness of multifactorial non-pharmacological interventions in dementia patients; (2) Methods: This is a randomized controlled trial conducted in Hai Duong from July 2021 to December 2022. Selected subjects included 88 patients diagnosed with very mild, mild, and moderate dementia, of whom 44 patients were assigned to the intervention group and 44 patients to the control group; (3) Results: For the effectiveness of the non-pharmacological multifactorial intervention on depression severity: in the intervention group, the GDS 15 depression score decreased from 4.8 to 2.9, while, in the control group, the GDS 15 depression score increased by 1.3 points after six months of no intervention. For the effect of the non-pharmacological multifactorial intervention on the level of sleep disturbance, in the intervention group, the PSQI sleep disturbance score decreased by nearly half (from 10.2 to 5.6), while, in the control group, this trend was not clear. For the effect of the non-pharmacological multifactorial intervention on daily functioning: in the intervention group, the ADL and IADL scores improved (1.02 ± 1.32 and 1.23 ± 1.75), while, in the control group, the ADL and IADL scores decreased (0.93 ± 1.2 and 0.98 ± 2.19). For the effect of the non-pharmacological multifactorial intervention on quality of life: in the intervention group, the EQ-5D-5L scores improved (0.17 ± 0.19), while, in the control group, the EQ-5D-5L scores decreased (0.20 ± 0.30); (4) Conclusions: Non-pharmacological multifactorial interventions, including physical activity, cognitive training, listening to educational lectures, and organizing miniature social models, have been shown to improve mental health, self-control, and quality of life.

Mitigating errors in mobile-based dietary assessments: Effects of a data modification process on the validity of an image-assisted food and nutrition app.

OBJECTIVE: Mobile nutrition applications (apps) provide a simple way for individuals to record their diet, but the validity and inherent errors need to be carefully evaluated. The aim of this study was to assess the validity and clarify the sources of measurement errors of image-assisted mobile nutrition apps. METHODS: This was a cross-sectional study with 98 students recruited from School of Nutrition and Health Sciences, Taipei Medical University. A 3-d nutrient intake record by Formosa Food and Nutrient Recording App (FoodApp) was compared with a 24-h dietary recall (24-HDR). A two-stage data modification process, manual data cleaning, and reanalyzing of prepackaged foods were employed to address inherent errors. Nutrient intake levels obtained by the two methods were compared with the recommended daily intake (DRI), Taiwan. Paired t test, Spearman's correlation coefficients, and Bland-Altman plots were used to assess agreement between the FoodApp and 24-HDR. RESULTS: Manual data cleaning identified 166 food coding errors (12%; stage 1), and 426 food codes with missing micronutrients (32%) were reanalyzed (stage 2). Positive linear trends were observed for total energy and micronutrient intake (all Ptrend < 0.05) after the two stages of data modification, but not for dietary fat, carbohydrates, or vitamin D. There were no statistical differences in mean energy and macronutrient intake between the FoodApp and 24-HDR, and this agreement was confirmed by Bland-Altman plots. Spearman's correlation analyses showed strong to moderate correlations (r = 0.834 ∼ 0.386) between the two methods. Participants' nutrient intake tended to be lower than the DRI, but no differences in proportions of adequacy/inadequacy for DRI values were observed between the two methods. CONCLUSIONS: Mitigating errors significantly improved the accuracy of the Formosa FoodApp, indicating its validity and reliability as a self-reporting mobile-based dietary assessment tool. Dietitians and health professionals should be mindful of potential errors associated with self-reporting nutrition apps, and manual data cleaning is vital to obtain reliable nutrient intake data.

COVID-19 and Virtual Nutrition: A Pilot Study of Integrating Digital Food Models for Interactive Portion Size Education.

Background and aims: Digital food viewing is a vital skill for connecting dieticians to e-health. The aim of this study was to integrate a novel pedagogical framework that combines interactive three- (3-D) and two-dimensional (2-D) food models into a formal dietetic training course. The level of agreement between the digital food models (first semester) and the effectiveness of educational integration of digital food models during the school closure due to coronavirus disease 2019 (COVID-19) (second semester) were evaluated. Method: In total, 65 second-year undergraduate dietetic students were enrolled in a nutritional practicum course at the School of Nutrition and Health Sciences, Taipei Medical University (Taipei, Taiwan). A 3-D food model was created using Agisoft Metashape. Students' digital food viewing skills and receptiveness towards integrating digital food models were evaluated. Results: In the first semester, no statistical differences were observed between 2-D and 3-D food viewing skills in food identification (2-D: 89% vs. 3-D: 85%) and quantification (within ±10% difference in total calories) (2-D: 19.4% vs. 3-D: 19.3%). A Spearman correlation analysis showed moderate to strong correlations of estimated total calories (0.69~0.93; all p values < 0.05) between the 3-D and 2-D models. Further analysis showed that students who struggled to master both 2-D and 3-D food viewing skills had lower estimation accuracies than those who did not (equal performers: 28% vs. unequal performers:16%, p = 0.041), and interactive 3-D models may help them perform better than 2-D models. In the second semester, the digital food viewing skills significantly improved (food identification: 91.5% and quantification: 42.9%) even for those students who struggled to perform digital food viewing skills equally in the first semester (equal performers: 44% vs. unequal performers: 40%). Conclusion: Although repeated training greatly enhanced students' digital food viewing skills, a tailored training program may be needed to master 2-D and 3-D digital food viewing skills. Future study is needed to evaluate the effectiveness of digital food models for future "eHealth" care.

Global Mapping of Interventions to Improve Quality of Life of People with Diabetes in 1990-2018.

Improving the quality of life (QOL) of people living with diabetes is the ultimate goal of diabetes care. This study provides a quantitative overview of global research on interventions aiming to improve QOL among people with diabetes. A total of 700 English peer-reviewed papers published during 1990-2018 were collected and extracted from the Web of Science databases. Latent Dirichlet Allocation (LDA) analysis was undertaken to categorize papers by topic or theme. Results showed an increase in interventions to improve the QOL of patients with diabetes across the time period, with major contributions from high-income countries. Community- and family-based interventions, including those focused on lifestyle and utilizing digital technologies, were common approaches. Interventions that addressed comorbidities in people with diabetes also increased. Our findings emphasize the necessity of translating the evidence from clinical interventions to community interventions. In addition, they underline the importance of developing collaborative research between developed and developing countries.

Advancing family dementia caregiver interventions in low- and middle-income countries: A pilot cluster randomized controlled trial of Resources for Advancing Alzheimer's Caregiver Health in Vietnam (REACH VN).

INTRODUCTION: Low- and middle-income countries have rapidly increasing numbers of people with dementia, yet little evidence on family caregiving interventions. We tested the preliminary efficacy and feasibility of a family caregiving intervention in northern Vietnam. METHODS: Nine clusters comprising 60 family caregivers were randomized to a culturally adapted version of a four- to six-session, multicomponent intervention delivered in-home over 2 to 3 months, or enhanced control. Eligible caregivers were ≥18 years of age and scored ≥6 on the Zarit Burden Inventory (ZBI). RESULTS: Fifty-one caregivers (85%) completed the study. Using analysis of covariance with 3-month assessment as the outcome and baseline assessment as a covariate, intervention group caregivers had an average ZBI (primary outcome) score 1.2 standard deviation (SD) lower (P = .02) and Patient Health Questionnaire-4 (psychological distress) score 0.7 SD lower (P = .03) than controls. DISCUSSION: In the first study of its kind in Vietnam, a culturally adapted, manualized, family caregiver intervention was both efficacious and feasible.

Determining Risk for Depression among Older People Residing in Vietnamese Rural Settings.

(1) Background: Major causes of the burden of disease in older persons include mental disorders and neurological diseases, such as depression. This study aims to explore the prevalence of older people at risk for depression and identify the factors associated with this risk in rural Vietnam. (2) Methods: A cross-sectional study was conducted in Soc Son, Hanoi with 523 community dwelling elders aged 60 and over. Face-to-face interviews were performed to collect data about socioeconomic status, risk for depression, health status, and health utilization. The Geriatric Depression Scale-4 items (GDS-4) was used to assess the risk for depression occurrence. Multivariable logistic regression was employed for determining the factors associated with the risk for depression. (3) Results: Among 523 participants, there were 26.4% of participants at risk for depression. The proportion of females at risk for depression (29.0%) was significantly higher than males (20.4%). Differences were found in economic status (near poor group had higher risk for depression compared to the poor group) (p < 0.01). Older adults living with spouse/partner, living in near-poor household, and suffering pain/discomfort were all more likely to be at risk for depression. (4) Conclusions: Being female, living in a near poor household, being in pain or experiencing discomfort are all factors strongly correlated to high risk for depression. These findings highlight the urgent need for additional research among Vietnamese community-dwelling older people.