In the present research, we analyzed how to promote a plant-based diet by involving 428 volunteers in a 2-week mobile app intervention. We compared messages promoting the addition of legumes versus messages promoting the replacement of meat with legumes. Messages were either combined or not combined with dynamic norms (i.e., information that more and more people are enacting the behavior). We compared these messages with a control condition (i.e., no message intervention) and we also analyzed the moderation effect of receivers' identification with flexitarians (i.e., people who occasionally eat animal products) and attitudes towards them. In the short term, addition messages increased legume consumption more than replacement messages, especially in people with a negative evaluation of flexitarians and low identification with them. In the long term, increased legume consumption was recorded only when addition messages were combined with dynamic norms. As for meat consumption, the replacement messages were more effective in reducing it in the short term than in the long term, especially in people with positive attitudes towards flexitarians. However, replacement messages combined with dynamic norms were more effective in the long term than in the short term. These results advance our comprehension of how to tailor dietary messages.
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http://dx.doi.org/10.3390/nu15010015 | DOI Listing |
Can Vet J
January 2025
Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine, University of Florida, 2015 SW 16th Avenue, Gainesville, Florida 32608, USA (Whitman); Gulf Coast Veterinary Specialists, 8042 Katy Freeway, Houston, Texas 77024, USA (Wilson); Department of Small Animal Clinical Sciences, Texas A&M School of Veterinary Medicine and Biomedical Sciences, 4474 TAMU, College Station, Texas 77843, USA (Heseltine).
Canine systemic protothecosis is an uncommon disease caused by spp., which are saprophytic algae occurring ubiquitously in nature. Infection occurs most commonly in immunocompromised animals.
View Article and Find Full Text PDFBackground: Heart failure with preserved ejection fraction (HFpEF) and chronic kidney disease (CKD) have a strong pathophysiological interrelationship, and their combination worsens prognosis.
Summary: This article briefly reviews the bidirectional epidemiological burden and the pathophysiological interplay between HFpEF and CKD. It also discusses some of the controversial aspects regarding the diagnosis and screening of HFpEF in CKD patients and focuses on the most effective therapeutic approaches to improve symptoms and prognosis in this high-risk population.
Neuroendocrinology
January 2025
Background: Temozolomide (TMZ), a non-classical alkylating agent, possesses lipophilic properties that allow it to cross the blood-brain barrier, making it active within the central nervous system. Furthermore, the adverse reactions of the TMZ are relatively mild, which is why it is currently recommended as a first-line chemotherapy drug for refractory pituitary adenomas (RPAs) and pituitary carcinomas (PCs).
Summary: Systematic evaluations indicate a radiological response rate of 41% and a hormonal response rate of 53%, underscoring TMZ clinical efficacy, particularly when combined with radiotherapy.
Cochrane Database Syst Rev
January 2025
Department of Health Promotion and Policy, University of Massachusetts, Amherst, MA, USA.
Rationale: There is limited guidance on the best ways to stop using nicotine-containing vapes (otherwise known as e-cigarettes) and ensure long-term abstinence, whilst minimising the risk of tobacco smoking and other unintended consequences. Treatments could include pharmacological interventions, behavioural interventions, or both.
Objectives: To conduct a living systematic review assessing the benefits and harms of interventions to help people stop vaping compared to each other or to placebo or no intervention.
Sensors (Basel)
December 2024
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China.
This study presents a novel algorithm for protocol reverse analysis of EtherCAT. The algorithm combines sequence alignment and the Pearson correlation coefficient. We utilize value distribution statistics and the bit flip rate algorithm to effectively partition the protocol fields.
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