Construct validation of the Reasons Individuals Stop Eating Questionnaire (RISE-Q) and the development of the RISE-Q-15

Unit size influences ad libitum intake in a snacking context via eating rate

Geometric and textural properties of food, like unit size, have previously been shown to influence energy intake. While mechanism(s) driving this effect are unclear, unit size may relate to intake by affecting eating microstructure (e.g., eating rate, bite size). In a randomized crossover study, we investigated relationships between unit size, eating microstructure, and intake. Adults (n = 75, 75% women) consumed an ad libitum snack three times in our laboratory. This snack was a 70-g portion (∼2.5 servings) of one of three sizes of pretzel (small, medium, large). Intake was measured in grams by difference in weight before and after the snack. Each session was video recorded to measure eating microstructure; snack duration (min) and number of bites were annotated and used to calculate mean eating rate (g/min) and mean bite size (g/bite). Results revealed unit size influenced intake (grams and kcal; both p's ≤ 0.001), such that participants consumed 31% and 22% more of the large pretzels (16.9 ± 2.3 g) compared to the small (12.9 ± 2.3 g) and medium sizes (13.8 ± 2.3 g), respectively. Unit size also influenced eating rate and bite size (both p's < 0.001); the largest pretzel size yielded the fastest eating rate and largest mean bite size. Further analysis revealed that after accounting for eating microstructure, the effects of unit size on intake were no longer significant, suggesting eating microstructure was driving these effects. Together, these findings indicate that unit size influences intake by affecting eating microstructure and that food properties like unit size can be leveraged to moderate snack intake.

High perceived stress is associated with decreased sensory-specific satiety in humans

Previous studies have shown that chronic stress increases food intake. One possible mechanism may be due to altered sensory-specific satiety (SSS) among people with high level of chronic stress. In the current study, seventy-six participants were divided into either high-stress or low-stress groups according to their Perceived Stress Scale (PSS) scores. Participants were assigned to consume one of two foods (banana milk and corn soup) ad libitum until they felt comfortably satiated. Before and after eating, participants rated their liking and wanting for the flavor and the odor (via retronasal and orthonasal routes) of the eaten and uneaten foods. Individual interoceptive sensibility and eating behavior were measured using the Multidimensional Assessment of Interoceptive Awareness (MAIA) and Reasons Individuals Stop Eating Questionnaire (RISE-Q-15), respectively. Compared to the low-stress group, the high-stress group demonstrated blunted SSS to the whole food flavor. No significant difference was found for olfactory-specific satiety (retronasal or orthonasal) between the two groups. In addition, across the whole sample of participants, MAIA total score was positively associated with the magnitude of SSS (r = 0.29, p = 0.01). These results indicate that chronic perceived stress may play a role in the experience of reward during eating.

Appetitive traits from childhood to adolescence: Analysis of their stability, derivation of trajectory profiles, and associated characteristics

This study aimed to assess the potential stability of appetitive traits from childhood to early adolescence, identify groups of individuals with distinct trajectories for these traits, and explore their association with other child and family characteristics. Participants were 5040 children from the Generation XXI cohort. Appetitive traits were assessed with the Children's Eating Behaviour Questionnaire (CEBQ) at ages seven, 10, and 13 (eight subscales). Mixed-effect models estimated individual trajectories of appetitive traits and Gaussian mixture models identified groups following different trajectories (appetitive trait trajectory profiles). Appetitive traits showed moderate-to-high stability across the three ages (intra-class correlation coefficients:0.66-0.83); most of the variance observed across time were due to persistent individual differences rather than age-related changes. Six appetitive trait trajectory profiles were identified: 'Moderate appetite' (scores close to the average) (29% of children), 'Small to moderate appetite' (lowest food approach and emotional eating) (26%), 'Increasing appetite' (increasing food approach) (15%), 'Avid appetite' (highest food approach and lowest food avoidance) (12%), 'Smallest appetite' (highest food avoidance and low food approach) (10%), and 'Small appetite but increasing' (decreasing high food avoidance and Desire to Drink) (8%). In multinomial logistic regression, these profiles were associated with different child and family characteristics. Compared to children with a 'Moderate appetite' profile, those with higher BMI, who desired a thinner body, whose mothers were younger, had lower education, higher pre-pregnancy BMI (OR = 1.07; 95%CI:1.04,1.09), smoked during pregnancy (OR = 1.51; 95%CI:1.21,1.90), and used more restrictive feeding practices (OR = 1.79; 95%CI:1.57,2.03) had increased odds of belonging to the 'Avid Appetite'. In conclusion, distinct appetitive trait trajectory profiles emerged, differentiating individuals with avid and small appetites. These findings have implications for identifying children at higher risk for obesogenic profiles.

Reasons for meal termination, eating frequency, and typical meal context differ between persons with and without a spinal cord injury

Overeating associated with neurogenic obesity after spinal cord injury (SCI) may be related to how persons with SCI experience satiation (processes leading to meal termination), their eating frequency, and the context in which they eat their meals. In an online, cross-sectional study, adults with (n = 688) and without (Controls; n = 420) SCI completed the Reasons Individuals Stop Eating Questionnaire-15 (RISE-Q-15), which measures individual differences in the experience of factors contributing to meal termination on five scales: Physical Satisfaction, Planned Amount, Decreased Food Appeal, Self-Consciousness, and Decreased Priority of Eating. Participants also reported weekly meal and snack frequency and who prepares, serves, and eats dinner with them at a typical dinner meal. Analysis revealed that while Physical Satisfaction, Planned Amount, and Decreased Food Appeal were reported as the most frequent drivers of meal termination in both groups, scores for the RISE-Q-15 scales differed across the groups. Compared to Controls, persons with SCI reported Physical Satisfaction and Planned Amount as drivers of meal termination less frequently, and Decreased Food Appeal and Decreased Priority of Eating more frequently (all p < 0.001). This suggests that persons with SCI rely less on physiological satiation cues for meal termination than Controls and instead rely more on hedonic cues. Compared to Controls, persons with SCI less frequently reported preparing and serving dinner meals and less frequently reported eating alone (all p < 0.001), indicating differences in meal contexts between groups. Individuals with SCI reported consuming fewer meals than Controls but reported a higher overall eating frequency due to increased snacking (p ≤ 0.015). A decrease in the experience of physical fullness, along with a dependence on a communal meal context and frequent snacking, likely contribute to overeating associated with neurogenic obesity after SCI.

The effect of a mindfulness-based body scan exercise on food intake during TV watching

In some studies mindfulness is associated with reduced food consumption, but the underlying mechanisms are less well researched. One potential mechanism is that mindfulness increases attention toward feelings of fullness. Additionally, experimental research on mindfulness and food intake has primarily been conducted in constrained laboratory settings, where it may be easier for participants to notice their internal bodily signals, as opposed to the real world where individuals are often engaged in other activities while eating. The effect of mindfulness on food intake while participants are distracted remains unexplored. This study therefore aimed to examine whether a mindfulness-based body scan exercise reduced food consumption within a distracted environment by increasing attention toward feelings of fullness. Participants (n = 137) listened to a 10-minute body scan meditation, or a 10-minute visualisation (control) meditation. They were then given a bowl of crisps to consume while watching a 10-minute TV show segment. Participants also completed measures assessing proposed mediators, including state mindfulness, attention to bodily sensations and eating automaticity. The body scan manipulation increased state mindfulness but had no direct effect on the other mediators or on food intake (intervention M = 34.79g, SD = 24.06; control M = 33.16g, SD = 23.88). State mindfulness was positively correlated with attention to bodily sensations while eating. Lower eating automaticity and greater reliance on decreased food appeal and physical satisfaction to stop eating were found to be associated with lower food intake. Contrary to previous studies, we found no evidence that a mindfulness body scan reduces food consumption when participants are distracted. Future research should examine the specific conditions under and mechanisms by which mindfulness may influence food consumption.

Variety and portion size combine to increase food intake at single-course and multi-course meals

Increases in food variety and portion size independently promote intake. Little is known about how these effects combine or how they depend on meal structure. In two randomized crossover experiments, once a week for four weeks, women ate a lunch meal that was varied in two properties: variety (low: three bowls of the favorite dish vs. high: three bowls, each with a different main dish) and portion size (small: 450 g vs. large: 600 g). In Experiment 1 (n = 42), dishes were served simultaneously and in Experiment 2 (n = 49), dishes were served sequentially over three courses. At each meal, the primary outcome of food intake was measured; additionally, we measured sensory-specific satiety (SSS; the relative hedonic decline of a food as it is eaten). In Experiment 1 (simultaneous structure) variety and portion size did not interact (p = 0.72) but both independently increased intake; participants consumed 15 ± 7 g more at meals with high variety compared to low and 57 ± 7 g more from large portions compared to small (both p < 0.03). Similarly, in Experiment 2 (sequential structure) variety and portion size did not interact (p = 0.99) but participants consumed 30 ± 8 g more at high-variety meals and 51 ± 8 g more from large portions (both p < 0.001). SSS was not influenced by portion size in either experiment (both p > 0.16) or by variety in Experiment 1 (p = 0.58), but SSS was smaller at high-variety meals in Experiment 2 (p = 0.001). Thus, variety and large portions promoted greater food intake for a similar or smaller hedonic decline, indicating these effects were facilitated by delayed SSS. At meals with either a simultaneous or sequential structure, high variety and large portions combined to increase intake, suggesting that these common properties act together to promote overconsumption.

Reasons individuals stop eating questionnaire (RISE-Q) among adults in the United Arab Emirates

The relationship between obesity and satiation is complex and bidirectional. Understanding differences in reasons for meal termination may enhance our understanding of overeating risks and susceptibility to overconsumption. This study aimed to investigate the reasons why individuals in the UAE stop eating. A cross-sectional web-based study was conducted among adults ≥18 years in the UAE (n = 1482). Using a self-administered online questionnaire, we collected information on sociodemographic characteristics, lifestyle habits, and eating behavior using the Reasons Individuals Stop Eating-Questionnaire (RISE-Q-15) used twice for breakfast/main meal. The items were categorized into five scales; decreased food appeal (DFA), physical satisfaction (PS), planned amount (PA), self-consciousness (SC), and decreased priority of eating (DPE). All items were scored from 1 to 7 ranging between 3 to 21 on each scale. A paired t-test was used to evaluate the difference between the RISE-Q scores on each scale concerning the two meals. The main reason why participants stopped eating breakfast was under the PS scale (14.91 ± 3.72), followed by the PA scale (14.58 ± 3.00). The main reason why participants stopped eating main meals was under the PS scale (14.78 ± 3.56), followed by the PA scale (14.77 ± 43.81). The mean score of the DPE scale was significantly higher for breakfast than the main meal (p = 0.038). More than half of the participants reported an average eating rate (58.7%). Pearson's chi-square analysis revealed that the eating rate was dependent on BMI (p<0.001). Considering individual mealtimes and addressing factors related to PS and PA of food is crucial when designing nutrition interventions aiming to promote healthy eating habits among adults in the UAE.

Development and initial validation of the trait and state Mindful Eating Behaviour Scales

PURPOSE

The quantitative assessment of mindful eating has been challenging, even with the latest additions to the field of multifactorial mindful eating psychometric tools. This manuscript presents the development, validity and reliability assessment of a trait and state Mindful Eating Behaviour Scale across four studies driven by recent theory (Mantzios in Nutr Health 27: 1-5, 2021).

METHODS

Study 1 assessed the content validity of the scale through ratings of clinical and research experts in the field. Study 2 inspected the scale through exploratory and confirmatory factor, parallel, correlation, and reliability analyses. Study 3 assessed the temporal stability through a test-retest in a 2-week interval. Study 4 assessed the scale in a randomized control experimental design, where a mindful eating (vs. control group) received the trait scale before consuming chocolate, and an equivalent state scale was modified to assess state changes during the 10-min eating session.

RESULTS

Study 1 yielded items to be reflective and concise of the definition of mindful eating behaviour. Study 2 indicated 2 potential factors through exploratory factor analyses, which were further verified through a parallel analysis, while subscales correlation indicated one-dimensionality, which was further verified through confirmatory factor analysis. In addition, the internal consistency of the scale and subscales was good. Study 3 certified the reliability of the scale over time, while Study 4 indicated that both the trait and state scales were significant indicators of eating mindfully.

CONCLUSIONS

Together, all studies signal the utility of theoretically sound and empirically validated measurements for the replicable assessment of mindful eating behaviour.

LEVEL OF EVIDENCE

No level of evidence: basic science.