Consumer acceptance of personalised nutrition: The role of ambivalent feelings and eating context

Personalized nutrition: perspectives on challenges, opportunities, and guiding principles for data use and fusion

Personalized nutrition (PN) delivers tailored dietary guidance by integrating health, lifestyle, and behavioral data to improve individual health outcomes. Recent technological advances have enhanced access to diverse data sources, yet challenges remain in collecting, integrating, and analyzing complex datasets. To address these, the Personalized Nutrition Initiative at Illinois organized a workshop titled "Personalized Nutrition Data: Challenges & Opportunities," which gathered experts to explore three essential data domains in PN: 1) health and biological, 2) social, behavioral, and environmental, and 3) consumer purchasing data. Discussions underscored the importance of cross-disciplinary collaboration to standardize data collection, enable secure data sharing, and develop data fusion techniques that respect privacy and build trust. Participants emphasized the need for representative datasets that include underserved populations, ensuring that PN services are accessible and equitable. Key principles for responsible data integration were proposed, alongside strategies to overcome barriers to effective data use. By addressing these challenges, PN can enhance health outcomes through precise, personalized recommendations tailored to diverse population needs.

Exploring the Cognitive, Affective, and Conative Factors of Bystander Intervention to Improve Protective Measures During Health Emergencies

This study examines the factors shaping individuals' reactions to health-protective norm violations through the lens of cognitive accessibility, the risk-as-feelings hypothesis, and the tripartite decision-making framework. By surveying 1,426 U.S. college students, we found that frequent exposure to health information in the media is associated with an increased tendency to adopt health-protective measures and support bystander intervention (upstanding) intentions. From a theoretical perspective, the results underscore the significant impact of the conative (behavioral) dimension on bystander intervention intention, alongside contributions from the affective and cognitive dimensions. Health communication practitioners should plan frequency-enhancing media strategies to effectively reach their target audience. Well-targeted and repeated exposure to vaccine information may help address health norm violations by correcting deviant behaviors.

Factors influencing the intention of young adults to adopt genotype-based personalised advice on diet and physical activity according to perceived weight status

Genotype-based dietary and physical activity advice can be delivered to young adults before unhealthy lifestyle behaviours or metabolic and physiological conditions have developed. The aim of the present study was to investigate the factors that influence the intention to adopt genotype-based personalised advice on diet and physical activity in young adults who perceive themselves to be a healthy weight versus those who perceive themselves to be overweight or obese. An online survey of 396 young adults (18-25 years) evaluated background factors (participant characteristics (including perception of body weight), psychological factors, belief composites) and constructs of the Theory of Planned Behaviour (TPB) related to the adoption of genotype-based personalised advice. The association between background factors and TPB constructs was assessed using multiple linear regression. The constructs of TPB predicted intention to adopt genotype-based personalised nutrition (P < 0.001, adj. R 2 = 0.54; attitude: B = 0.24, subjective norm: B = 0.25, PBC: B = 0.45). Background factors including belief composites, health locus of control, gender, physical activity, and food choice motives of 'health', 'price', 'familiarity', 'weight control', and 'convenience' significantly added to models of TPB constructs related to the intention to adopt personalised advice (P < 0.05). The influence of background factors varied between TPB constructs and differed based on participants perception of their body weight. The study provides support for the use of the TPB in understanding the intention of young adults to adopt gene-based advice for dietary and physical activity behaviour. In addition to perceived body weight, the background factors identified should help to inform and modify the delivery of advice in behaviour change interventions that seek to use genotype-based personalised advice in young adult populations.

Methods to assess ambivalence towards food and diet: a scoping review

BACKGROUND

Ambivalence towards food and diet, which favours behavioural inertia, might be a barrier to adopting healthier eating behaviours. Measuring it can help researchers to better understand its relationship with behaviour change and design interventions aimed at resolving it. In this scoping review, we map and describe methods and tools employed in studies to assess, measure or classify the ambivalence of participants towards food- and diet-related attitude objects.

METHODS

In accordance with Joanna Briggs Institute guidance for conducting scoping reviews, we retrieved peer-reviewed studies from MEDLINE, CINAHL, PsycINFO, Web of Science, FSTA and Food Science Source and preprints from PsyArXiv and MedRxiv. Two independent reviewers screened the articles. We considered for inclusion peer-reviewed studies and preprints that assessed the ambivalence of participants of any age, sex or sociodemographic group towards food and diet.

RESULTS

We included 45 studies published between 1992 and 2022, which included participants from 17 countries. Eighteen methods were employed across the included studies to assess different types of ambivalence (felt, potential or cognitive-affective), the most frequent of which were the Griffin Index, the Subjective Ambivalence Questionnaire, the MouseTracker Paradigm and the Orientation to Chocolate Questionnaire.

CONCLUSION

This scoping review identified several methods and tools to assess different types of ambivalence towards food- and diet-related objects, providing an array of options for future studies.

Incorporating Consumers' Needs in Nutrition Apps to Promote and Maintain Use: Mixed Methods Study

BACKGROUND

Nutrition apps seem to be promising tools for supporting consumers toward healthier eating habits. There is a wide variety of nutrition apps available; however, users often discontinue app use at an early stage before a permanent change in dietary behavior can be achieved.

OBJECTIVE

The main objective of this study was to identify, from both a user and nonuser perspective, which functionalities should be included in nutrition apps to increase intentions to start and maintain use of these apps. A secondary objective was to gain insight into reasons to quit using nutrition apps at an early stage.

METHODS

This study used a mixed methods approach and included a qualitative and a quantitative study. The qualitative study (n=40) consisted of a home-use test with 6 commercially available nutrition apps, followed by 6 focus group discussions (FGDs) to investigate user experiences. The quantitative study was a large-scale survey (n=1420), which was performed in a representative sample of the Dutch population to quantify the FGDs' results. In the survey, several app functionalities were rated on 7-point Likert scales ranging from 1 (very unimportant) to 7 (very important).

RESULTS

A total of 3 different phases of app use, subdivided into 10 user-centric app aspects and 46 associated app functionalities, were identified as relevant nutrition app elements in the FGDs. Relevance was confirmed in the survey, as all user-centric aspects and almost all app functionalities were rated as important to include in a nutrition app. In the starting phase, a clear introduction (mean 5.45, SD 1.32), purpose (mean 5.40, SD 1.40), and flexible food tracking options (mean 5.33, SD 1.45) were the most important functionalities. In the use phase, a complete and reliable food product database (mean 5.58, SD 1.41), easy navigation (mean 5.56, SD 1.36), and limited advertisements (mean 5.53, SD 1.51) were the most important functionalities. In the end phase, the possibility of setting realistic goals (mean 5.23, SD 1.44), new personal goals (mean 5.13, SD 1.45), and continuously offering new information (mean 4.88, SD 1.44) were the most important functionalities. No large differences between users, former users, and nonusers were found. The main reason for quitting a nutrition app in the survey was the high time investment (14/38, 37%). This was also identified as a barrier in the FGDs.

CONCLUSIONS

Nutrition apps should be supportive in all 3 phases of use (start, use, and end) to increase consumers' intentions to start and maintain the use of these apps and achieve a change in dietary behavior. Each phase includes several key app functionalities that require specific attention from app developers. High time investment is an important reason to quit nutrition app use at an early stage.

The Impact of Both Individual and Contextual Factors on the Acceptance of Personalized Dietary Advice

(1) Background: The aim of the current study is to investigate which between- and within-person factors influence the acceptance of personalized dietary advice. (2) Methods: A repeated measurements design was used in which 343 participants (M (SD) age = 48 (17.3), 49% female) filled out a baseline survey and started with nine repeated surveys. (3) Results: The results show that the acceptance of personalized dietary advice is influenced by both within-person and between-person factors. The acceptance is higher at lunch compared to breakfast and dinner, higher at home than out of home, higher at moments when individuals have a high intention to eat healthily, find weight control an important food choice motive and have a high healthy-eating self-efficacy. Moreover, the acceptance is higher when individuals do not see the eating context as a barrier and when individuals believe that personalized dietary advice has more benefits than risks. (4) Conclusions: Future behavioral interventions that use personalized dietary advice should consider the context as well as individual differences.

Personalized Nutrition Advice: Preferred Ways of Receiving Information Related to Psychological Characteristics

The primary goal of this study is to be able to discern specific types of consumers in terms of their psychosocial characteristics who may need different ways of receiving dietary advice. Knowing these types will enable a better fit of advice to consumers' psychosocial characteristics, hereby stimulating healthy eating as the probability of compliance to the advice can potentially increase. The study draws upon several psychological theories to distinguish unique underlying factors that can subsequently be used to personalize nutrition information for consumers. A number of general psychological scales (self-regulation, action and coping self-efficacy, social comparison, intrinsic motivation, health info processing, need for cognition and for affect, and regulatory focus) are filled out by 988 respondents, including their preferences for receiving personalized forms of nutrition advice. The set of joint items from various psychological constructs is analyzed using a Principal Component Analysis to find underlying psychological characteristics. The PCA produces four components (explaining 51% of variation), that could be interpreted as 'intrinsic interest and capabilities for healthy eating,' 'perceived difficulty to eat healthily,' 'self-worth insecurity,' and 'seeking positive challenges,' respectively. By means of a Logistic Regression these components are able to predict preferences for different forms of receiving nutrition advice. This first component shows that a mind set for maintaining a healthy diet goes together with an interest in receiving an advice on what do to and on how that will affect one's health. The second component predicts a preference for a fixed moment to receive information/advice. This may be a strategy of those that perceive difficulties to eat healthily, to help them control their healthy food intake. The insecurity that the third component models seems to lead to a wish for receiving specific advice about their health situation at fixed moments in time. The fourth component is a small component, therefore its prediction of a wish for an advice focussing on prevention of negative consequences is probably not a strong result. The study does point out that there appear different psychosocial types of consumers, that may benefit by being addressed according to their preference for receiving nutrition advice on specific moments, of a specific level of detail or pointing at the type of consequences the advice has. A better fit of the advice to the psychosocial characteristics of the recipient, captured in the identified components in the current study, may lead to an increase in compliance, although that will have to be further investigated in subsequent work.

Outcomes of Culturally Tailored Dietary Intervention in the North African and Bangladeshi Diabetic Patients in Italy

Immigrants show higher adjusted diabetes prevalence than Italians, especially among South-East Asians followed by North and Sub-Saharan Africans. Diabetes progression is influenced by food behaviors, and diet control is a critical aspect in disease management. Food habits have many cultural and symbolic implications. Guidelines recommend that every patient should receive appropriate self-management education according to cultural and socioeconomic characteristics. This study aims to test whether a customized diet and transcultural mediator’s support can improve immigrants’ food habits. A pre-post quali-quantitative study was conducted among 20–79-year-old Bangladeshi and North African diabetic immigrants. The INMP transcultural mediator, an expert in the social and health care field, actively participates in clinical activity by decoding linguistic and cultural needs expressed by the foreigner patient. Five culturally tailored dietary profiles were designed according to international diabetes guidelines and adjusted to traditional food habits. Data were collected with two different semi-structured questionnaires. Changes in food consumption were assessed through McNemar’s test, while paired Wilcoxon Signed-Rank test was used to analyze pre and post intervention. Fifty-five patients were enrolled. At follow-up, cereals, meat, and potatoes intake significantly improved, and the number of adequate dietary habits for each patient increased significantly. Transcultural mediator support was 90% positively evaluated. Adherence to dietary control is favorably influenced by a transcultural intervention, which is based on clinical and socio-cultural criteria, in compliance with patient’s lifestyles.