Recent studies have found values for animal-welfare, personal-health and the environment to be the main factors motivating veg*n diets. However, studies are yet to simultaneously compare these values between Australian meat-eaters, vegetarians, and vegans, and therefore, the extent to which they motivate these groups. Further, while cognitive mechanisms (methods of reducing the psychological discomfort of eating meat while holding such values) have been found to facilitate meat intake, these mechanisms are yet to be compared against values in their ability to predict meat consumption. In the current study, meat-eaters reported the lowest concern for animal-welfare, personal-health, and the environment. With the exception of personal-health, vegans reported the greatest concern for these factors. However, cognitive mechanisms predicted meat consumption more strongly than these values. These findings may have implications for reducing meat consumption and improving outcomes for animal-welfare, public health and the environment.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.appet.2019.104386 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A new vision of the role of the cerebellum in pain processing.
J Neural Transm (Vienna)
January 2025
Postgraduate Program in Physical Therapy (PPGFT), Department of Physical Therapy (DFisio), University of São Carlos (UFSCar), Washington Luis Road, Km 235, São Carlos, São Paulo, 13565-905, Brazil.
The cerebellum is a structure in the suprasegmental nervous system classically known for its involvement in motor functions such as motor planning, coordination, and motor learning. However, with scientific advances, other functions of the cerebellum, such as cognitive, emotional, and autonomic processing, have been discovered. Currently, there is a body of evidence demonstrating the involvement of the cerebellum in nociception and pain processing.
View Article and Find Full Text PDFGhrelin Induces Ferroptosis Resistance and M2 Polarization of Microglia to Alleviate Neuroinflammation and Cognitive Impairment in Alzheimer's Disease.
J Neuroimmune Pharmacol
January 2025
Pharmacy Department, Baotou Central Hospital, Baotou, 014040, Inner Mongolia, China.
Microglial polarization and ferroptosis are important pathological features in Alzheimer's disease (AD). Ghrelin, a brain-gut hormone, has potential neuroprotective effects in AD. This study aimed to explore the potential mechanisms by which ghrelin regulates the progression of AD, as well as the crosstalk between microglial polarization and ferroptosis.
View Article and Find Full Text PDFDHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN-Transformer Network.
Sensors (Basel)
January 2025
Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai 519031, China.
Electroencephalogram (EEG) signals are important bioelectrical signals widely used in brain activity studies, cognitive mechanism research, and the diagnosis and treatment of neurological disorders. However, EEG signals are often influenced by various physiological artifacts, which can significantly affect data analysis and diagnosis. Recently, deep learning-based EEG denoising methods have exhibited unique advantages over traditional methods.
View Article and Find Full Text PDFEEG in Education: A Scoping Review of Hardware, Software, and Methodological Aspects.
Sensors (Basel)
December 2024
Department of Information and Electronic Engineering, International Hellenic University, 57001 Nea Moudania, Greece.
Education is an activity that involves great cognitive load for learning, understanding, concentrating, and other high-level cognitive tasks. The use of the electroencephalogram (EEG) and other brain imaging techniques in education has opened the scientific field of neuroeducation. Insights about the brain mechanisms involved in learning and assistance in the evaluation and optimization of education methodologies according to student brain responses is the main target of this field.
View Article and Find Full Text PDFIntegrated Decision and Motion Planning for Highways with Multiple Objects Using a Naturalistic Driving Study.
Sensors (Basel)
December 2024
Western Science City Intelligent and Connected Vehicle Innovation Center (Chongqing) Co., Ltd., Chongqing 400015, China.
With the rise in the intelligence levels of automated vehicles, increasing numbers of modules of automated driving systems are being combined to achieve better performance and adaptability by reducing information loss. In this study, an integrated decision and motion planning system is designed for multi-object highways. A two-layer structure is presented to decouple the influence of the traffic environment and the dynamic control of ego vehicles using the cognitive safety area, the size of which is determined by naturalistic driving behavior.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!