Evaluation of a Smart Fork to Decelerate Eating Rate.

Overweight is associated with a range of negative health consequences, such as type 2 diabetes, cardiovascular disease, gastrointestinal disorders, and premature mortality.1 One means to combat overweight is through encouraging people to eat more slowly.2 People who eat quickly tend to consume more3, 4 and 5 and have a higher body mass index,6, 7, 8 and 9 whereas people who eat more slowly feel sated earlier and eat less.10, 11, 12 and 13. Unfortunately, eating rate is difficult to modify, because of its highly automatic nature.14 In clinical settings, researchers have had some success changing behavior by using devices that deliver feedback in real time.15, 16 and 17 However, existing technologies are either too cumbersome18 or not engaging enough19 for use in daily life contexts. Training people to eat more slowly in everyday eating contexts, therefore, requires creative and engaging solutions. This article presents a qualitative evaluation of the feasibility of a smart fork to decelerate eating rate in daily life contexts. Furthermore, we outline the planned research to test the efficacy of this device in both laboratory and community settings<br/

Associations between attitudes towards and reported intakes of sugars, low/no-calorie sweeteners, and sweet-tasting foods in a UK sample.

Public health initiatives are currently aiming to lower free sugar intakes for health benefits, but attitudes towards sugars, their alternatives such as low/no-calorie sweeteners (LNCS), and towards sweet-tasting foods may be hampering efforts. This work investigated associations between attitudes towards and the reported intakes of sugars, LNCS and sweet-tasting foods, and identified latent attitude profiles in subpopulations of adults in the United Kingdom. A total of 581 adults completed a questionnaire assessing their usual intake of sugars, LNCS and sweet-tasting foods, attitudes towards these foods and various demographic characteristics. Six principal components explained 39.1% of the variance in the attitude responses, named: 'Personal Impact', 'Personal Management', 'Apathy', 'Negativity', 'Perceived Understanding' and 'Perceived Nonautonomy'. Personal Impact was negatively associated with reported consumption of sugar-food and sweet-tasting food groups more frequently (smallest β = -0.24, p < .01). Personal Management was positively associated with reporting adding sugar and consuming sugar-food and sweet-tasting food groups more frequently (smallest β = 0.14, p < .01). Three latent classes of participants with distinct patterns of attitudes were identified, labelled: 'Feeling Ill-equipped' (n = 52), 'Actively Engaged' (n = 162) or 'Unopinionated' (n = 367). Individuals who were classed as Actively Engaged reported adding LNCS more frequently than those classed as Feeling Ill-equipped (t(212) = -2.14, p<.01), who reported consuming sweet-tasting food groups more frequently than those classed as Unopinionated (t(417) = 2.65, p < .01). These findings suggest the need for personalised approaches within public health initiatives, to reduce free sugar intakes

The effect of real-time vibrotactile feedback delivered through an augmented fork on eating rate, satiation, and food intake.

Eating rate is a basic determinant of appetite regulation, as people who eat more slowly feel sated earlier and eat less. Without assistance, eating rate is difficult to modify due to its automatic nature. In the current study, participants used an augmented fork that aimed to decelerate their rate of eating. A total of 114 participants were randomly assigned to the Feedback Condition (FC), in which they received vibrotactile feedback from their fork when eating too fast (i.e., taking more than one bite per 10 s), or a Non-Feedback Condition (NFC). Participants in the FC took fewer bites per minute than did those in the NFC. Participants in the FC also had a higher success ratio, indicating that they had significantly more bites outside the designated time interval of 10 s than did participants in the NFC. A slower eating rate, however, did not lead to a significant reduction in the amount of food consumed or level of satiation. These findings indicate that real-time vibrotactile feedback delivered through an augmented fork is capable of reducing eating rate, but there is no evidence from this study that this reduction in eating rate is translated into an increase in satiation or reduction in food consumption. Overall, this study shows that real-time vibrotactile feedback may be a viable tool in interventions that aim to reduce eating rate. The long-term effectiveness of this form of feedback on satiation and food consumption, however, awaits further investigation

Establishing consensus on key public health indicators for the monitoring and evaluating childhood obesity interventions: a Delphi panel study

Background: Childhood obesity is influenced by myriad individual, societal and environmental factors that are not typically reflected in current interventions. Socio-ecological conditions evolve and require ongoing monitoring in terms of assessing their influence on child health. The aim of this study was to identify and prioritise indicators deemed relevant by public health authorities for monitoring and evaluating childhood obesity interventions. Method: A three-round Delphi Panel composed of experts from regions across Europe, with a remit in childhood obesity intervention, were asked to identify indicators that were a priority in their efforts to address childhood obesity in their respective jurisdictions. In Round 1, 16 panellists answered a series of open-ended questions to identify the most relevant indicators concerning the evaluation and subsequent monitoring of interventions addressing childhood obesity, focusing on three main domains: built environments, dietary environments, and health inequalities. In Rounds 2 and 3, panellists rated the importance of each of the identified indicators within these domains, and the responses were then analysed quantitatively. Results: Twenty-seven expert panellists were invited to participate in the study. Of these, 16/27 completed round 1 (5 9% response rate), 14/16 completed round 2 (87.5% response rate), and 8/14 completed the third and final round (57% response rate). Consensus (defined as > 70% agreement) was reached on a total of 45 of the 87 indicators (49%) across three primary domains (built and dietary environments and health inequalities), with 100% consensus reached for 5 of these indicators (6%). Conclusion: Forty-five potential indicators were identified, pertaining primarily to the dietary environment, built environment and health inequalities. These results have important implications more widely for evaluating interventions aimed at childhood obesity reduction and prevention.European Commission Horizon 2020Science Foundation IrelandInsight Research CentreRoyal College of Surgeons in Ireland2021-02-19 JG: broken PDF replace

BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment

Obesity is a complex disease and its prevalence depends on multiple factors related to the local socioeconomic, cultural and urban context of individuals. Many obesity prevention strategies and policies, however, are horizontal measures that do not depend on context-specific evidence. In this paper we present an overview of BigO (http://bigoprogram.eu), a system designed to collect objective behavioral data from children and adolescent populations as well as their environment in order to support public health authorities in formulating effective, context-specific policies and interventions addressing childhood obesity. We present an overview of the data acquisition, indicator extraction, data exploration and analysis components of the BigO system, as well as an account of its preliminary pilot application in 33 schools and 2 clinics in four European countries, involving over 4,200 participants.Comment: Accepted version to be published in 2020, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canad

Similar taste-nutrient relationships in commonly consumed Dutch and Malaysian foods

Three recent studies showed that taste intensity signals nutrient content. However, current data reflects only the food patterns in Western societies. No study has yet been performed in Asian culture. The Malaysian cuisine represents a mixture of Malay, Chinese and Indian foods. This study aimed to investigate the associations between taste intensity and nutrient content in commonly consumed Dutch (NL) and Malaysian (MY) foods. Perceived intensities of sweetness, sourness, bitterness, umami, saltiness and fat sensation were assessed for 469 Dutch and 423 Malaysian commonly consumed foods representing about 83% and 88% of an individual's average daily energy intake in each respective country. We used a trained Dutch (n = 15) and Malaysian panel (n = 20) with quantitative sensory Spectrum™ 100-point rating scales and reference solutions, R1 (13-point), R2 (33-point) and R3 (67-point). Dutch and Malaysian foods had relatively low mean sourness and bitterness (<R1), but higher mean sweetness, saltiness and fat sensation (between R1 and R2). Mean umami taste intensity of Malaysian foods (15-point) was higher than that of Dutch foods (8-point). Positive associations were found between sweetness and mono- and disaccharides (R2 = 0.67 (NL), 0.38 (MY)), between umami and protein (R2 = 0.29 (NL), 0.26 (MY)), between saltiness and sodium (R2 = 0.48 (NL), 0.27 (MY)), and between fat sensation and fat content (R2 = 0.56 (NL), 0.17(MY)) in Dutch and Malaysian foods (all, p < 0.001). The associations between taste intensity and nutrient content are not different between different countries, except for fat sensation-fat content. The two dimensional basic taste-nutrient space, representing the variance and associations between tastes and nutrients, is similar between Dutch and Malaysian commonly consumed foods

Systematic review of the evidence for sustained efficacy of dietary interventions for reducing appetite or energy intake

We assessed evidence for changes in efficacy of food-based interventions aimed at reducing appetite or energy intake (EI), and whether this could be used to provide guidance on trial design. A systematic search identified randomized controlled trials testing sustained efficacy of diets, foods, supplements or food ingredients on appetite and/or EI. Trials had to include sufficient exposure duration (≥3 days) with appetite and/or EI measured after both acute and repeated exposures. Twenty-six trials met the inclusion criteria and reported data allowing for assessment of the acute and chronic effects of interventions. Most (21/26) measured appetite outcomes and over half (14/26) had objective measures of EI. A significant acute effect of the intervention was retained in 10 of 12 trials for appetite outcomes, and six of nine studies for EI. Initial effects were most likely retained where these were more robust and studies adequately powered. Where the initial, acute effect was not statistically significant, a significant effect was later observed in only two of nine studies for appetite and none of five studies for EI. Maintenance of intervention effects on appetite or EI needs to be confirmed, but seem likely where acute effects are robust and replicable in adequately powered studies

Dietary taste patterns in early childhood: The Generation R Study

Background: Taste preference is an important determinant of dietary intake and is influenced by taste exposure in early life. However, data on dietary taste patterns in early childhood are scarce. Objectives: We aimed to evaluate dietary taste patterns in early childhood, to examine their tracking between the ages of 1 and 2 y, and to examine their associations with socioeconomic and lifestyle factors. Methods: Dietary intake of children participating in a population-based cohort was assessed with a 211-item age-specific FFQ at the ages of 1 y (n = 3629) and 2 y (n = 844) (2003–2007). Taste intensity values of FFQ food items were calculated based on a food taste database that had been previously constructed and evaluated using a trained adult sensory panel. Cluster analysis based on taste values identified 5 taste clusters that we named: “neutral,” “sweet and sour,” “sweet and fat,” “fat,” and “salt, umami and fat.” Linear regression models were used to examine associations of percentage energy (E%) intake from these taste clusters with socioeconomic and lifestyle factors. Results: At the age of 1 y, 64% ± 13% (mean ± SD) of energy intake was obtained from the “neutral” cluster, whereas at age 2 y, this was 42% ± 8%. At age 2 y, children had higher energy intakes from the “sweet and fat” (18% ± 7%), “fat” (11% ± 4%), and “salt, umami, and fat” (18% ± 6%) clusters than at age 1 y (7% ± 6%, 6% ± 4%, and 11% ± 6%, respectively). In multivariable models, older maternal age, longer breastfeeding duration, and later introduction of complementary feeding were associated with more energy from the “neutral” cluster (e.g., β: 0.31 E%; 95% CI: 0.19, 0.43 E% per 1 mo longer breastfeeding). Higher child BMI was associated with more energy from the “salt, umami, and fat” cluster (β: 0.22 E%; 95% CI: 0.06, 0.38 E% per BMI standard deviation score). Conclusions: Dietary taste patterns in this Dutch cohort were more varied and intense in taste at age 2 y than at 1 y, reaching a level similar to that previously observed in Dutch adults. Important factors related to dietary taste patterns of young children are maternal sociodemographic factors and feeding practices

Protein status elicits compensatory changes in food intake and food preferences123

Background: Protein is an indispensable component within the human diet. It is unclear, however, whether behavioral strategies exist to avoid shortages