Background: The incidence of acute myocardial infarction (AMI) is increasing among young and middle-aged people, and such patients need to be reemployed after AMI events from the individual and society perspectives. However, the situation of employment after AMI was not ideal. Early identification of patients vulnerable to decreased work ability and provided targeted intervention may be beneficial.
Objective: To identify the profiles and associated factors of work ability in young and middle-aged AMI patients.
Methods: A cross-sectional study was conducted in Guangzhou, China, from September 2022 to October 2023. Work ability, self-efficacy for return-to-work, social support, anxiety, and depression were measured by the Work-ability Support Scale (WSS), Return-To-Work Self-Efficacy Questionnaire, Social Support Rating Scale, 7-item Generalized Anxiety Disorder Scale, and Patient Health Questionnaire 9, respectively. We performed latent profile analysis based on three subdomains of the WSS by using Mplus 8.3. Multiple logistic regression was used to identify factors associated with work ability.
Results: A total of 155 participants (aged 48.58±7.153 years, 95.5 % male) were included. We identified three latent profiles of work ability: low work ability (28.1 %), moderate work ability (51 %), and high work ability (20.6 %). The per capita monthly household income, NYHA functional class, total cholesterol, length of hospital stay, social support, and self-efficacy for return-to-work were factors associated with work ability.
Conclusion: This study demonstrated different profiles and associated factors of work ability in young and middle-aged AMI patients. It is suggested that healthcare providers identify and monitor associated factors to improve work ability among this subpopulation.
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http://dx.doi.org/10.1016/j.hrtlng.2024.04.010 | DOI Listing |
J Pathol
January 2025
The Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.
Spatial transcriptomics (ST) offers enormous potential to decipher the biological and pathological heterogeneity in precious archival cancer tissues. Traditionally, these tissues have rarely been used and only examined at a low throughput, most commonly by histopathological staining. ST adds thousands of times as many molecular features to histopathological images, but critical technical issues and limitations require more assessment of how ST performs on fixed archival tissues.
View Article and Find Full Text PDFLangmuir
January 2025
College of Materials Science and Engineering, Sichuan University, Chengdu 610064, China.
Metallic Zn is a promising anode for high-safety, low-cost, and large-scale energy storage systems. However, it is strongly hindered by unstable electrode/electrolyte interface issues, including zinc dendrite, corrosion, passivation, and hydrogen evolution reactions. In this work, an in situ interface protection strategy is established by turning the corrosion/passivation byproducts (zinc hydroxide sulfates, ZHSs) into a stable hybrid protection layer.
View Article and Find Full Text PDFThe severe functional impact of long COVID presents a significant challenge for clients seeking to return to work. Despite emerging clinical management guidelines, long COVID remains a concern in the rehabilitation field. There is a need to establish optimal practices for sustainable rehabilitation paths that enhance the recovery of clients with long COVID, all while understanding the challenges faced by rehabilitation professionals working with this population.
View Article and Find Full Text PDFBioinform Adv
November 2024
Institute of Biochemistry and Molecular Medicine, University of Bern, Bern 3012, Switzerland.
Summary: Protein structure prediction aims to infer a protein's three-dimensional (3D) structure from its amino acid sequence. Protein structure is pivotal for elucidating protein functions, interactions, and driving biotechnological innovation. The deep learning model AlphaFold2, has revolutionized this field by leveraging phylogenetic information from multiple sequence alignments (MSAs) to achieve remarkable accuracy in protein structure prediction.
View Article and Find Full Text PDFFront Immunol
January 2025
Instituto de Investigaciones Bioquímicas de La Plata "Prof. Dr. Rodolfo R. Brenner", (INIBIOLP), Universidad Nacional de La Plata (UNLP) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), La Plata, Argentina.
Introduction: Gastropod hemocyanins are potent immunostimulants in mammals, a trait associated with their large molecular size and unusual glycosylation patterns. While the hemocyanin from the marine snail keyhole limpet (KLH), has been widely studied and successfully employed as a carrier/adjuvant in several immunological applications, as well as a non-specific immunostimulant for bladder cancer treatment, few other gastropod hemocyanins have been biochemically and immunologically characterized. In this work, we investigated the immunogenic properties of the hemocyanin from (PcH), an invasive south American freshwater snail.
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