[Combined behavioural and neuroscientific insights can improve anti-tobacco strategies].

Med Sci (Paris)

Laboratoire de psychologie cognitive (UMR 7290), Fédération de recherche comportement cerveau cognition (FR 3512), Aix-Marseille université et CNRS, 3, place Victor Hugo, 13331 Marseille Cedex 3, France - Mediamento, Institut d'études cognitives des médias et de la publicité, Paris, France.

Published: November 2013

In France, cognitive science (e.g., eye-tracking) and neuroscience (e.g., functional neuroimaging) are not used to develop and test anti-tobacco strategies. The newly found knowledge in behavioral and brain sciences could provide valuable insights in the understanding of attentional, emotional, memorization and decision-making processes at play when tobacco addicts are exposed to prevention messages. We argue that neuroscientific methods should be used in the fight against tobacco to better design and evaluate the impact of measures such as combined text and graphic (shock) warnings, neutral packets and support to people who want to stop smoking.

Download full-text PDF

Source
http://dx.doi.org/10.1051/medsci/20132911022DOI Listing

Publication Analysis

Top Keywords

[combined behavioural
4
behavioural neuroscientific
4
neuroscientific insights
4
insights improve
4
improve anti-tobacco
4
anti-tobacco strategies]
4
strategies] france
4
france cognitive
4
cognitive science
4
science eye-tracking
4

Similar Publications

Untangling areas of improvement in secondary prevention of ischemic stroke in patients with atrial fibrillation.

Sci Rep

December 2024

Health Services Research and Pharmacoepidemiology Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Avenida Cataluña, 21, 46020, Valencia, Spain.

Improvement of post-stroke outcomes relies on patient adherence and appropriate therapy maintenance by physicians. However, comprehensive evaluation of these factors is often overlooked. This study assesses secondary stroke prevention by differentiating patient adherence to antithrombotic treatments (ATT) from physician-initiated interruptions or switches.

View Article and Find Full Text PDF

Objective: This study aimed to examine the levels of physical activity (PA), sleep, and mental health (MH), specifically depression, anxiety, and stress, among Chinese university students. It also aimed to analyze the influencing factors of MH, providing a theoretical foundation for developing intervention programs to improve college students' mental health.

Methods: A stratified, clustered, and phased sampling method was employed.

View Article and Find Full Text PDF

Persuasive appeals frequently prove ineffective or produce unintended outcomes, due to the presence of motivated reasoning. Using the example of electric cars adoption, this research delves into the impact of emotional content, message valence, and the coherence of pre-existing attitudes on biased information evaluation. By conducting a factorial survey (N = 480) and incorporating a computational model of attitude formation, we aim to gain a deeper insight into the cognitive-affective mechanisms driving motivated reasoning.

View Article and Find Full Text PDF

To investigate the population distribution characteristics of elderly osteoporosis fracture patients in Hebei Province and analyze the effects of air pollutants on elderly osteoporosis fractures, We retrospectively collected 18,933 cases of elderly osteoporosis fractures from January 1, 2019, to December 31, 2022, from four hospitals in Hebei Province. The average age was 76.44 ± 7.

View Article and Find Full Text PDF

Urban mobility prediction is crucial for optimizing resource allocation, managing transportation systems, and planning urban development. We propose a novel framework, GeoTemporal LSTM (GT-LSTM), designed to address the intricate spatiotemporal dynamics of urban environments. GT-LSTM integrates temporal dependencies with geographic information through a multi-modal approach that combines attention mechanisms and Recurrent Neural Networks (RNNs).

View Article and Find Full Text PDF

Want 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!