98%
921
2 minutes
20
Objective: The present study explored associations between food choice motives, attitudes towards and intention to adopt personalised nutrition, to inform communication strategies based on consumer priorities and concerns.Design/SettingA survey was administered online which included the Food Choice Questionnaire (FCQ) and items assessing attitudes towards and intention to adopt personalised nutrition.
Subjects: Nationally representative samples were recruited in nine EU countries (n 9381).
Results: Structural equation modelling indicated that the food choice motives 'weight control', 'mood', 'health' and 'ethical concern' had a positive association and 'price' had a negative association with attitude towards, and intention to adopt, personalised nutrition. 'Health' was positively associated and 'familiarity' negatively associated with attitude towards personalised nutrition. The effects of 'weight control', 'ethical concern', 'mood' and 'price' on intention to adopt personalised nutrition were partially mediated by attitude. The effects of 'health' and 'familiarity' were fully mediated by attitude. 'Sensory appeal' was negatively and directly associated with intention to adopt personalised nutrition.
Conclusions: Personalised nutrition providers may benefit from taking into consideration the importance of underlying determinants of food choice in potential users, particularly weight control, mood and price, when promoting services and in tailoring communications that are motivationally relevant.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260806 | PMC |
http://dx.doi.org/10.1017/S1368980018001234 | DOI Listing |
Front Psychol
August 2025
School of Economics and Management, Chengdu Sport University, Chengdu, China.
Introduction: Although marathon events have gained global popularity and align closely with public health objectives, limited research has explored how individuals perceive the attractiveness of these events and how such perceptions influence participation intention. This study introduces the concept of "perceived attractiveness" as a multidimensional evaluation encompassing emotional, symbolic, cultural, and convenience facets related to participation. Drawing upon self-determination theory and self-efficacy theory, the study investigates how perceived attractiveness predicts participation intention, mediated by exercise-related self-efficacy.
View Article and Find Full Text PDFMach Learn Health
December 2025
Medical Artificial Intelligence and Automation Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
Online adaptive radiation therapy (ART) personalizes treatment plans by accounting for daily anatomical changes, requiring workflows distinct from conventional radiotherapy. Deep learning-based dose prediction models can enhance treatment planning efficiency by rapidly generating accuracy dose distributions, reducing manual trial-and-error and accelerating the overall workflow; however, most existing approaches overlook critical pre-treatment plan information-specifically, physician-defined clinical objectives tailored to individual patients. To address this limitation, we introduce the multi-headed U-Net (MHU-Net), a novel architecture that explicitly incorporates physician intent from pre-treatment plans to improve dose prediction accuracy in adaptive head and neck cancer treatments.
View Article and Find Full Text PDFPsychol Sport Exerc
September 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, USA.
Identity is among the most robust psychological constructs for predicting whether individuals translate physical activity (PA) intentions into action. However, existing identity measures in the PA domain focus narrowly on exercise and largely adopt limited unidimensional conceptualizations. This study aimed to develop and validate the Multidimensional Inventory of Physical Activity Identity (MIPAI-25), a novel instrument grounded in a multidimensional, theoretically integrated framework.
View Article and Find Full Text PDFInt Dent J
September 2025
Department of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité-University Medicine Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Department of Conservati
Introduction And Aims: Artificial intelligence (AI) is transforming dental care by enhancing diagnostic accuracy, efficiency, and patient experience. This study aimed to assess dental patients' acceptance, perceptions, and concerns regarding AI-powered diagnosis using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework through structural equation modelling (SEM).
Methods: A cross-sectional study was conducted among dental patients at King Saud University Dental Hospital, Riyadh.
Acta Psychol (Amst)
September 2025
UCSI Graduate Business School, USCI University, Kuala Lumpur, Malaysia.
This study examines how green marketing communications by eco-friendly tourism providers influence tourists' intentions to visit sustainable destinations, considering the mediating roles of tourists' eco-friendly attitudes and green destination trust, as well as the moderating role of biospheric values. We adopted a cross-sectional survey of 317 tourists in China's Jiuzhaigou Valley and analyzed the data using SMART-PLS. The results show that green marketing activities significantly increase tourists' pro-environmental attitudes and trust in green destinations, which in turn enhance their intentions to visit eco-friendly destinations.
View Article and Find Full Text PDF