Background: The health as expanding consciousness (HEC) theory posits that health and disease are interconnected components of a comprehensive process aimed at expanding consciousness.
Aim: The objective of this study is to introduce the concept, research status and applications of HEC and offer a comprehensive understanding of its various key components.
Data Sources: Databases including EMBASE, PubMed, ScienceDirect, ProQuest, Wiley, Web of Science, Sinomed, China National Knowledge Infrastructure, Wanfang, and CQVIP, covering the period from 1986 to 2023.
Method: Employing Rodgers' evolutionary concept analysis approach, this study included and analysed 70 studies.
Results: The characteristics of HEC comprise aspects such as movement, time, space, energy, rhythm, and paradigm of health. The antecedents of HEC encompass disease, chaos, binding, centring, and choice point. Consequences associated with HEC include self-transcendence, unbinding, decentring, expanded consciousness, real freedom, pattern recognition, absolute consciousness, and death.
Conclusion: This study has identified substitute terms, related concepts, attributes, antecedents, consequences, and empirical references associated with HEC. The findings provide valuable information applicable across various domains of nursing, encompassing practice, education, research, and management.
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http://dx.doi.org/10.1186/s12912-024-02262-8 | DOI Listing |
J Med Internet Res
January 2025
AIMS Lab, Center for Neurosciences, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium.
Background: Cognitive deterioration is common in multiple sclerosis (MS) and requires regular follow-up. Currently, cognitive status is measured in clinical practice using paper-and-pencil tests, which are both time-consuming and costly. Remote monitoring of cognitive status could offer a solution because previous studies on telemedicine tools have proved its feasibility and acceptance among people with MS.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
January 2025
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).
View Article and Find Full Text PDFThe current understanding of humoral immune response in cancer patients suggests that tumors may be infiltrated with diffuse B cells of extra-tumoral origin or may develop organized lymphoid structures, where somatic hypermutation and antigen-driven selection occur locally. These processes are believed to be significantly influenced by the tumor microenvironment through secretory factors and biased cell-cell interactions. To explore the manifestation of this influence, we used deep unbiased immunoglobulin profiling and systematically characterized the relationships between B cells in circulation, draining lymph nodes (draining LNs), and tumors in 14 patients with three human cancers.
View Article and Find Full Text PDFJ Clin Exp Neuropsychol
January 2025
Department of Psychiatry, University of Illinois Chicago, Chicago, IL, USA.
Introduction: This study cross-validates and expands upon previous research by examining the optimal number of PVT failures necessary to determine invalid performance when 10 PVTs are administered during a neuropsychological evaluation. Additionally, the study assessed the degree of skewness of individual PVTs and PVT intercorrelations for the overall sample and by validity group.
Method: Participants were 283 adult neuropsychology outpatients evaluated at an academic medical center.
Mol Genet Genomic Med
January 2025
Prenatal Diagnosis Center, Langfang Maternal and Child Health Care Hospital, Langfang, Hebei, China.
Background: Skeletal dysplasia (SD) represents a series of highly heterogeneous congenital genetic diseases affecting the human skeletal system. Refined genetic diagnosis is helpful for the accurate diagnosis and prognosis evaluation of SDs.
Materials And Methods: In this study, we recruited 26 cases of SD and analyzed them with a designed sequential genetic detection.
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