Social support and physical literacy in young and middle-aged patients with hypertension: the mediating effects of sense of coherence and self-efficacy.

BACKGROUND: Despite the growing recognition of the importance of social support and physical literacy in managing hypertension among young and middle-aged patients, there is a lack of research exploring the mediating effects of sense of coherence and self-efficacy in this relationship. This study aims to bridge this gap by investigating the interplay between social support, physical literacy, sense of coherence, and self-efficacy, thus contributing to a deeper understanding of effective interventions for hypertension management. METHODS: A cross-sectional study was conducted using convenience sampling to survey 280 young and middle-aged patients diagnosed with hypertension from five community settings in Zhejiang and Anhui provinces between January and February 2024. Measurement instruments included the General Information Questionnaire, Physical Literacy Scale for Young and Middle-aged Patients with Hypertension, Sense of Coherence Scale 13, General self-efficacy Scale, and Perception Social Support Scale. Data analysis was performed using SPSS 27.0 and AMOS 28.0, with reporting following the STROBE checklist. RESULTS: A total of 270 valid questionnaires were collected. The total score of physical literacy for young and middle-aged patients with hypertension ranged from 18 to 90, with a mean score of 62.30 ± 13.92, indicating a moderate level. There was a positive correlation between the physical literacy score and the scores of social support (r = 0.557, P<0.01), sense of coherence (r = 0.392, P<0.01), and self-efficacy (r = 0.466, P<0.01) among young and middle-aged patients with hypertension. Furthermore, social support was found to have multiple mediating effects through sense of coherence and self-efficacy on physical literacy. CONCLUSION: This study sheds light on the interconnectedness of social support, physical literacy, sense of coherence, and self-efficacy among young and middle-aged patients with hypertension. The findings underscore the importance of considering these factors holistically in hypertension management strategies.

Quantitative SHINERS analysis of temporal changes in the passive layer at a gold electrode surface in a thiosulfate solution.

Shell-isolated gold nanoparticles (SHINs) were employed to record shell-isolated nanoparticle-enhanced Raman spectra (SHINERS) of a passive layer formed at a gold surface during gold leaching from thiosulfate solutions. The (3-aminopropyl)triethoxysilane (APTES) and a sodium silicate solution were used to coat gold nanoparticles with a protective silica layer. This protective silica layer prevented interactions between the thiosulfate electrolyte and the gold core of the SHINs when the SHINs-modified gold electrode was immersed into the thiosulfate lixiviant. The SHINERS spectra of the passive layer, formed from thiosulfate decomposition, contained bands indicative of hydrolyzed APTES. We have demonstrated how to exploit the presence of these APTES bands as an internal standard to compensate for fluctuations of the surface enhancement of the electric field of the photon. We have also developed a procedure that allows for removal of the interfering APTES bands from the SHINERS spectra. These methodological advancements have enabled us to identify the species forming the passive layer and to determine that the formation of elemental sulfur, cyclo-S8, and polymeric sulfur chains is responsible for inhibition of gold dissolution in oxygen rich thiosulfate solutions.

Radiomics Nomogram Derived from Gated Myocardial Perfusion SPECT for Identifying Ischemic Cardiomyopathy.

Personalized management involving heart failure (HF) etiology is crucial for better prognoses. We aim to evaluate the utility of a radiomics nomogram based on gated myocardial perfusion imaging (GMPI) in distinguishing ischemic from non-ischemic origins of HF. A total of 172 heart failure patients with reduced left ventricular ejection fraction (HFrEF) who underwent GMPI scan were divided into training (n = 122) and validation sets (n = 50) based on chronological order of scans. Radiomics features were extracted from the resting GMPI. Four machine learning algorithms were used to construct radiomics models, and the model with the best performances were selected to calculate the Radscore. A radiomics nomogram was constructed based on the Radscore and independent clinical factors. Finally, the model performance was validated using operating characteristic curves, calibration curve, decision curve analysis, integrated discrimination improvement values (IDI), and the net reclassification index (NRI). Three optimal radiomics features were used to build a radiomics model. Total perfusion deficit (TPD) was identified as the independent factors of conventional GMPI metrics for building the GMPI model. In the validation set, the radiomics nomogram integrating the Radscore, age, systolic blood pressure, and TPD significantly outperformed the GMPI model in distinguishing ischemic cardiomyopathy (ICM) from non-ischemic cardiomyopathy (NICM) (AUC 0.853 vs. 0.707, p = 0.038). IDI analysis indicated that the nomogram improved diagnostic accuracy by 28.3% compared to the GMPI model in the validation set. By combining radiomics signatures with clinical indicators, we developed a GMPI-based radiomics nomogram that helps to identify the ischemic etiology of HFrEF.

AFM and STM study of beta-amyloid aggregation on graphite.

Atomic force microscopy (AFM) and scanning tunneling microscopy (STM) have been employed in situ and ex situ to directly study the aggregation of beta-amyloid(1-42) (Abeta42) peptide on hydrophobic graphite. From in situ AFM images, Abeta42 peptides were seen to aggregate into the sheets that preferred to three orientations with characteristic 3-fold symmetry (Proc. Natl. Acad. Sci. USA 96 (1999) 3688). The sheets were formed by parallel narrow lines with a height of 0.8-1.0nm and a width of 12-14nm. The narrow lines looked like beaded chains and have a right-handed axial periodicity. The high-resolution ex situ AFM and STM images showed that some fibrils of beta-amyloid had a characteristic domain texture, indicating they were formed through the association of protofibrils and monomers. The fibril containing lateral associated filaments that exhibited right-handed twist was clearly observed in the STM image. These results provide important clues to study the detailed structure of beta-amyloid aggregates and the mechanism of the Abeta fibrils formation on hydrophobic surface.

Simultaneous AFM manipulation and fluorescence imaging of single DNA strands.

We report combined atomic force and far-field fluorescence microscopic experiments which allow the simultaneous atomic force manipulation and optical observation of individual dye-labeled DNA molecules. A detailed understanding of the binding properties of DNA to different transparent surfaces is prerequisite for these investigations. Atomic force spectroscopy and fluorescence microscopy of single DNA strands yielded detailed insight into two different types of DNA binding onto transparent polylysine-coated and silanized glass surfaces. We subsequently demonstrate how the different binding can be exploited to perform two types of nanomanipulation experiments: On polylysine, strong electrostatic interactions over the whole length of the DNA strand enable the writing of micrometer-sized patterns. By contrast, the strong pointwise attachment of DNA to silanized surfaces allows horizontal stretching of single DNA strands to lengths exceeding 1.6 times the contour length of the DNA strand. With this new approach it is possible to directly observe the rupture of the strongly bonded DNA strand.