Measuring food preference and reward: application and cross-cultural adaptation of the leeds food preference questionnaire in human experimental research

Decisions about what we eat play a central role in human appetite and energy balance. Measuring food reward and its underlying components of implicit motivation (wanting) and explicit sensory pleasure (liking) is therefore important in understanding which foods are preferred in a given context and at a given moment in time. Among the different methods used to measure food reward, the Leeds Food Preference Questionnaire (LFPQ) is a well-established tool that has been widely used in the scientific field for over 10 years. The original LFPQ measures explicit liking and implicit wanting for the same visual food stimuli varying along two nutritional dimensions: fat (high or low) and taste (sweet or savoury/non-sweet). With increasing use of the LFPQ (in original or adapted forms) across different cultural and scientific contexts, there is a need for a set of recommendations for effective execution as well as cultural and nutritional adaptations of the tool. This paper aims to describe the current status of the LFPQ for researchers new to the methodology, and to provide standards of good practice that can be adopted for its cultural adaptation and use in the laboratory or clinic. This paper details procedures for the creation and validation of appropriate food stimuli; implementation of the tool for sensitive measures of food reward; and interpretation of the main end-points of the LFPQ. Following these steps will facilitate comparisons of findings between studies and lead to a better understanding of the role of food reward in human eating behaviour

Validation of the Activity Preference Assessment: a tool for quantifying children’s implicit preferences for sedentary and physical activities

Background High levels of sedentary behavior and low physical activity are associated with poor health, and the cognitive determinants of these behaviors in children and adolescents are not well understood. To address this gap, we developed a novel, non-verbal, computer-based assessment to quantify the degree to which youth prefer to be sedentary relative to physically active in their leisure time. Methods The Activity Preference Assessment (APA) uses a forced-choice paradigm to understand implicit decision-making processes when presented with common sedentary and physical activities. The APA bias score ranges from − 100 to + 100, with positive scores indicating a relative preference for sedentary activities, and negative scores representing a preference for physical activities. In 60 children ages 8–17 years, we assessed the validity of this behavioral task against a free-choice play observation, accelerometry-measured activity, anthropometrics and body composition, and cardiorespiratory fitness. We explored neighborhood, family, and individual-level factors that may influence implicit activity preferences. Test-retest reliability was assessed over one week. Results The majority of children (67%) preferred sedentary relative to physical activities. APA bias scores were positively associated with sedentary time during free-choice play. In girls, bias scores were negatively associated with average daily MVPA. APA bias scores were positively associated with body fat and negatively associated with cardiorespiratory fitness. These findings were independent of age, sex, and race/ethnicity. Neighborhood access to physical activity spaces, the number of people in the home, perceived physical self-competence (e.g., coordination, strength), and self-reported depressive symptoms were associated with activity preferences. The intra-class correlation for test-retest reliability was r = 0.59. Conclusions The APA shows promise as a novel tool for quantifying children’s relative preference for sedentary versus physical activities. Implicit bias scores from the APA are clinically meaningful, as shown by significant associations with adiposity and cardiorespiratory fitness. Future longitudinal studies should examine the directionality of the association between preferences and health markers, and the degree to which implicit activity preferences are modifiable. Importantly, the task only takes an average of 10 min to complete, highlighting a potential role as an efficient screening tool for the propensity to be sedentary versus physically active