Public health problems are complex; investigating them requires a framework that both accounts for multiple interactions among individuals and their intermediate and broader environment and also integrates equity concerns. Incorporating internal and external influences at the individual level, the health capability profile (HCP)'s 15 different health capabilities address this need.Using a systematic three-step deductive content analysis process, we examine hypothetical case studies representing leading causes of death in the USA (eg, heart disease, cancer and diabetes) as well as pressing public health issues such as COVID-19, alcohol use disorder, stigma and discrimination, intimate partner violence and firearm violence. After reviewing the profile (1), each case study is analysed through the framework of the HCP and developed into a flow diagram, through which we identify shortfalls between the observed and optimal levels of each health capability, as well as detrimental or enabling interactions among capabilities (2). We then determine factors and interventions that could help improve overall health capability (3).The HCP harnesses the multitude of unique individual profiles, and through aggregation and analysis, reveals common vulnerabilities (eg, discriminatory social norms and non-evidence-based information), and strengths. It recommends cross-cutting structural policy and programme reforms for institutions, schools, community resources and for individuals to develop a positive set of norms, knowledge, goals, attitudes and habits to chart the path towards health and well-being for all.
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http://dx.doi.org/10.1136/jech-2023-220573 | DOI Listing |
Brain Struct Funct
January 2025
Department of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, 1151 Richmond Street, North London, ON, N6A 5C1, Canada.
The dual task cost of gait (DTC) is an accessible and cost-effective test that can help identify individuals with cognitive decline and dementia. However, its neural substrate has not been widely described. This study aims to investigate the neural substrate of the high DTC in older adults across the spectrum of cognitive decline.
View Article and Find Full Text PDFSci Rep
January 2025
Electronics and Communication Engineering Dept. Faculty of Engineering, Horus University, New Damietta, Egypt.
Electric vehicles (EVs) rely heavily on lithium-ion battery packs as essential energy storage components. However, inconsistencies in cell characteristics and operating conditions can lead to imbalanced state of charge (SOC) levels, resulting in reduced capacity and accelerated degradation. This study presents an active cell balancing method optimized for both charging and discharging scenarios, aiming to equalize SOC across cells and improve overall pack performance.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Socio-Medical Sciences Department, Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Background: Rehabilitation technology is a growing field, but the sustainable implementation of these technologies, particularly in home settings, is lacking. The aim of this study was to explore the factors influencing the uptake of stroke rehabilitation technology among various stakeholders, including developers, healthcare professionals, individuals who had strokes, strategic experts, management and innovation staff, health insurers, and the National Health Care Institute.
Methods: In total, 22 semi-structured interviews were conducted with a purposive stakeholder sample.
BMC Geriatr
January 2025
Community Medicine and Rehabilitation, Physiotherapy, Umeå University, Umeå, Sweden.
Background: Physical activity and exercise are promoted worldwide as effective interventions for healthy ageing. Various exercise initiatives have been developed and evaluated for their efficacy and effectiveness among older populations. However, a deeper understanding of participants' experiences with these initiatives is crucial to foster long-term activity and exercise among older persons.
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January 2025
School of Information Science and Engineering, Yunnan University, Kunming, 650500, Yunnan, China. Electronic address:
Spatial transcriptomics has significantly advanced the measurement of spatial gene expression in the field of biology. However, the high cost of ST limits its application in large-scale studies. Using deep learning to predict spatial gene expression from H&E-stained histology images offers a more cost-effective alternative, but existing methods fail to fully leverage the multimodal information provided by Spatial transcriptomics and pathology images.
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