The impact of long-term care service on total lifetime medical expenditure among older adults with dementia

Effects of Future Subjective Expectations on Cognitive Decline and Dementia among Middle-Aged and Older Adults

This study investigated the impact of subjective expectations of the future (e.g., income, life expectancy, and national policies) on the onset of dementia and mild cognitive impairment by sex and age in middle-aged and older adults. The Korean Longitudinal Study of Aging (KLoSA) data from 2008 to 2020, comprising 4116 people above 45 years, were used. A time-series analysis and multiple panel logistic regression were conducted to highlight subjective expectation trends and their effect on dementia and mild cognitive impairment, respectively. Low subjective expectations of the future negatively affected cognitive impairment (total: odds ratio [OR] = 1.02, 95% confidence interval [CI] = 1.01-1.03) and dementia (total: OR = 1.05, 95% CI = 1.03-1.06), and those of national policies were the biggest risk factors for cognitive impairment (total: OR = 1.17, 95% CI = 1.12-1.22) and dementia (total: OR = 1.10, 95% CI = 1.07-1.13). Individuals about to retire and with low expectations of workability were more likely to develop cognitive impairment (total: OR = 1.03, 95% CI = 1.02-1.06). Subjective expectations of economic downturn also caused cognitive impairment, especially in women (OR = 1.04, 95% CI = 1.01-1.07) and early stage older adults (OR = 1.06, 95% CI = 1.02-1.10). Policymakers must consider the impact of changes in national policies and living environments on cognitive impairment and dementia in older adults.

The effect of outdoor activities on the medical expenditure of older people: multiple chain mediating effects of health benefits

BACKGROUND

With the global aging population, attention to the health and medical issues of older adults is increasing. By analyzing the relationship between older people's participation in outdoor activities and medical expenditure, this study aims to provide a scientific basis for improving their quality of life and reducing the medical burden.

METHODS

Data on outdoor activity participation, medical expenditures, and relevant variables were collected through questionnaires and databases. A multi-chain mediation effect model was established to analyze the impact of outdoor activities on the medical expenditure of older people, considering mediation effects and heterogeneity.

RESULTS

Results revealed that increased participation in outdoor activities among older adults correlated with lower medical expenditures. Outdoor activities positively influenced their health by improving mental health, cognition, eating habits, and activities of daily living, resulting in reduced medical expenditures. Robustness tests confirmed the consistent effect of outdoor activities on older people's medical expenditure.

CONCLUSION

These findings contribute to understanding the relationship between outdoor activities, health, and medical expenditure in older people, guiding policy formulation and interventions. Encouraging and supporting older adults in outdoor activities can enhance their quality of life and alleviate medical resource strain. The study's conclusions can also inform health promotion measures for other populations and serve as a basis for future research in this area.

The Effect of a Long-Term Care Insurance Program on Subjective Well-Being of Older Adults with a Disability: Quasi-Experimental Evidence from China

China launched its long-term care insurance (LTCI) program for older adults in 2016. Although the scheme has shown some promising outcomes, little is known about whether it improves subjective well-being. This study explored this topic among older persons with a disability and identified the underlying mechanisms associated with the channel of this effect using data from a national survey. The LTCI program was shown to improve the subjective well-being among older persons with a disability and this effect increased over time. The LTCI program has great positive effect among women and those who lived alone compared to their counterparts. Mechanism analysis revealed that the main channel by which the LTCI program has positive effect occurred through the satisfaction of long-term care needs and improved self-reported health. This study suggests promising benefits of the LTCI program for older Chinese adults.

Metabolomic Footprint of Disrupted Energetics and Amino Acid Metabolism in Neurodegenerative Diseases: Perspectives for Early Diagnosis and Monitoring of Therapy

The prevalence of neurodegenerative diseases (NDs) is increasing due to the aging population and improved longevity. They are characterized by a range of pathological hallmarks, including protein aggregation, mitochondrial dysfunction, and oxidative stress. The aim of this review is to summarize the alterations in brain energy and amino acid metabolism in Alzheimer’s disease (AD), Parkinson’s disease (PD), and Huntington’s disease (HD). Based on our findings, we proposed a group of selected metabolites related to disturbed energy or mitochondrial metabolism as potential indicators or predictors of disease. We also discussed the hidden challenges of metabolomics studies in NDs and proposed future directions in this field. We concluded that biochemical parameters of brain energy metabolism disruption (obtained with metabolomics) may have potential application as a diagnostic tool for the diagnosis, prediction, and monitoring of the effectiveness of therapies for NDs. However, more studies are needed to determine the sensitivity of the proposed candidates. We suggested that the most valuable biomarkers for NDs studies could be groups of metabolites combined with other neuroimaging or molecular techniques. To attain clinically applicable results, the integration of metabolomics with other “omic” techniques might be required.

Digital healthcare for dementia and cognitive impairment: A scoping review

BACKGROUND

Cognitive disorders, such as Alzheimer's disease, are a global health problem. Digital healthcare technology is an innovative management tool for delaying the progression of dementia and mild cognitive impairment. Thanks to digital technology, the possibility of safe and effective care for patients at home and in the community is increasing, even in situations that threaten the continuity of care, such as the COVID-19 pandemic. However, it is difficult to select appropriate technology and alternatives due to the lack of comprehensive reviews on the types and characteristics of digital technology for cognitive impairment, including their effects and limitations.

OBJECTIVE

This study aims to identify the types of digital healthcare technology for dementia and mild cognitive impairment and comprehensively examine how its outcome measures were constructed in line with each technology's purpose.

METHODS

According to the Preferred Reporting Items for Systematic reviews and Meta-Analysis extension for Scoping Reviews guidelines, a literature search was conducted in August 2021 using Medline (Ovid), EMBASE, and Cochrane library. The search terms were constructed based on Population-Concept-Context mnemonic: 'dementia', 'cognitive impairment', and 'cognitive decline'; digital healthcare technology, such as big data, artificial intelligence, virtual reality, robots, applications, and so on; and the outcomes of digital technology, such as accuracy of diagnosis and physical, mental, and social health. After grasping overall research trends, the literature was classified and analysed in terms of the type of service users and technology.

RESULTS

In total, 135 articles were selected. Since 2015, an increase in literature has been observed, and various digital healthcare technologies were identified. For people with mild cognitive impairment, technology for predicting and diagnosing the onset of dementia was studied, and for people with dementia, intervention technology to prevent the deterioration of health and induce significant improvement was considered. Regarding caregivers, many studies were conducted on monitoring and daily living assistive technologies that reduce the burden of care. However, problems such as data collection, storage, safety, and the digital divide persisted at different intensities for each technology type.

CONCLUSIONS

This study revealed that appropriate technology options and considerations may differ depending on the characteristics of users. It also emphasises the role of humans in designing and managing technology to apply digital healthcare technology more effectively.

Legal Aspects of Social Infrastructure for Housing and Care for the Elderly—The Case of Slovenia

On 17 June 2021, the Government of the Republic of Slovenia adopted a Bill on Long-term Care. This legislative activity also raised the question of the existence and effectiveness of a legal environment to promote social infrastructure development for housing and care of older adults. Social infrastructures include the facilities in which long-term care services are provided. Therefore, the new legislative proposal also raised the issue of the regulation of this social infrastructure and the housing and care solutions as a part of the social infrastructure since they benefit individuals and communities. Furthermore, in line with the growing trend towards deinstitutionalisation, the legal environments should enhance alternative housing solutions for the elderly. The purpose of this article is to describe the foundations of the social infrastructure for older adults and examine the legal basis for its provision. The research belongs to legal geography studies, which means that the substance of laws and materialisation in space are considered. We identified two primary spatial–legal barriers to overcome, which are (a) the separate treatment of the housing and health aspects and (b) the absence of the guarantee schemes for the construction of housing-with-care solutions. The results would be helpful for the optimal organisation of integrated care, which individual research groups in Slovenia are studying.

Association Between Social Network and Cognitive Function: A Cross-Sectional Assessment From the Cardiovascular and Metabolic Diseases Etiology Research Center Cohort (2013-2018)

BACKGROUND

This study aimed to investigate how social networks are associated with cognitive function in the middle-aged and elderly Korean population.

METHODS

A total of 7,704 individuals over the age of 50 were included from the baseline recruitment of the Cardiovascular and Metabolic Diseases Etiology Research Center cohort from the years 2013 to 2018. Egocentric social network characteristics including network size, intimacy, and frequency of face-to-face meetings were measured as exposures, and the Korean version of Mini-Mental State Examination (K-MMSE) score was measured to reflect general cognitive function as an outcome. We also stratified the analysis by income level into tertiles, with income caps of 42,000 thousand won and 72,000 thousand won. A general linear regression model was used, adjusting for age, gender, socioeconomic factors, lifestyle factors, depressive symptoms, and study settings.

RESULTS

Social network properties were positively associated with cognitive function in both men and women. However, the specific estimates varied according to gender and income level. In men, frequency was most significantly associated with cognitive function (standardized β = 0.093, p-value <0 .0001). In women, the strength of the association with cognitive function was found in size (standardized β = 0.055, p-value = 0.001). The effect modification of income level could be seen in the association between frequency and cognitive function. The strongest association between frequency and cognitive function was found in the middle income group in men (standardized β = 0.114, p-value = 0.0063), and the low income group in women (standardized β = 0.076, p-value = 0.0039).

CONCLUSION

There were positive associations between social network properties (i.e., size, intimacy, and frequency of face-to-face meetings) and cognitive function. The degree of association varied according to social network properties, gender, and income level. Overall, among social network properties, social network size was an important factor in the cognition of women, whereas frequency was important in the cognition of men.

Suicide among Older Adults with Dementia: Effects of Korea's Long-Term Care Insurance System

South Korea recently expanded its coverage rate of long-term care insurance (LTCI) by adding a “dementia special grade” in 2014 to improve care service accessibility and extend health life for older adults with dementia. In this study, we propose a multifaceted policy to reduce the suicide risk among older adults with dementia by evaluating the effectiveness of using the long-term care services (LTCS). A sample of 62,282 older adults was selected from the “Older Adults Cohort DB” of the National Health Insurance Service. We conducted Kaplan–Meier and Cox regression to represent the yearly survival curve from 2002 to 2015 according to the individual characteristics. Difference-in-difference estimation was conducted to identify the effect of LTCS on suicide rates by using LTCS before and after 2014. The suicide risk of older adults using LTCS was about 0.256-times lower than those who did not use it (OR = 0.296, 95% CI = 0.183–0.478), whereas it increased after the expansion of the dementia grading (OR = 2.131, 95% CI = 1.061–4.280). To prevent the risk of suicide among older adults with dementia, not only did the mortality rate vary depending on the sex, activities of daily living (ADL), and type of caregiver at the individual level but appropriate national intervention and management, such as improving the accessibility of LTCS, are also needed.