As longevity occurs, people encounter various risks associated with ageing, including economic uncertainty and health issues. Therefore, in addition to extending healthy life expectancy, it is crucial to create an environment where older people can live better even when their intrinsic capacity declines. Additionally, integrated and comprehensive care for older adults is needed to maintain their functional ability and well-being at higher levels. This review provides an overview of the systems and initiatives in Japan, a forerunner of population ageing that supports the quality of life of older people and summarises their remaining challenges. In Japan, with support for access to necessary care available from social welfare councils and community comprehensive support centres, various health and welfare services are provided to respond to the needs of people with different levels of intrinsic capacity, including medical care, preventive care, long-term care, adult guardianship systems, pensions, and social assistance. Nevertheless, there are challenges for the systems, including the gap between life and healthy life expectancy, moderate accumulation and decumulation of retirement assets, lack of human and financial resources for care, and user-unfriendliness and non-covered needs of the current system. Therefore, integrated and comprehensive care beyond health and long-term care is needed to maintain the well-being of older adults, even with their intrinsic capacity declining.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158362 | PMC |
http://dx.doi.org/10.1186/s13690-023-01076-5 | DOI Listing |
J Med Internet Res
January 2025
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.
View Article and Find Full Text PDFPLoS One
January 2025
Jindal School of Psychology and Counselling, OP Jindal Global University, Sonipat, Haryana, India.
Introduction: Teachers are pivotal in shaping educational environments and student development but face significant occupational stress and high rates of mental problems. Despite the availability of various psychosocial interventions, comprehensive evidence of their effectiveness and implementation is limited for this occupational group, especially in low- and middle-income countries (LMICs). This mixed methods study aims to conduct a scoping review of characteristics, effectiveness, and implementation outcomes of psychosocial interventions for teachers' mental health and mental problems, integrating these with teachers' lived experiences to inform the implementation of mental health interventions in LMICs.
View Article and Find Full Text PDFPLoS Negl Trop Dis
January 2025
Department of Zoology and Environment Management, Faculty of Science, University of Kelaniya, Dalugama, Sri Lanka.
Background: Leishmaniasis is a health problem in many regions with poor health and poor life resources. According to the World Health Organization (WHO), an estimated 700,000-1 million new cases arise annually. Effective control of sand fly vector populations is crucial for reducing the transmission of this disease.
View Article and Find Full Text PDFPLoS One
January 2025
School of Information and Communication Engineering, Beijing University of Information Science and Technology, Bei Jing City, China.
To enhance the intelligent classification of computer vulnerabilities and improve the efficiency and accuracy of network security management, this study delves into the application of a comprehensive classification system that integrates the Memristor Neural Network (MNN) and an improved Temporal Convolutional Neural Network (TCNN) in network security management. This system not only focuses on the precise classification of vulnerability data but also emphasizes its core role in strengthening the network security management framework. Firstly, the study designs and implements a neural network model based on memristors.
View Article and Find Full Text PDFElife
January 2025
Department of Evolutionary and Environmental Biology and Institute of Evolution, University of Haifa, Haifa, Israel.
Optimal foraging theory posits that foragers adjust their movements based on prey abundance to optimize food intake. While extensively studied in terrestrial and marine environments, aerial foraging has remained relatively unexplored due to technological limitations. This study, uniquely combining BirdScan-MR1 radar and the Advanced Tracking and Localization of Animals in Real-Life Systems biotelemetry system, investigates the foraging dynamics of Little Swifts () in response to insect movements over Israel's Hula Valley.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!