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Project SWEET examined the barriers and facilitators to the use of non-nutritive sweeteners and sweetness enhancers (hereafter "S&SE") alongside potential risks/benefits for health and sustainability. The Beverages trial was a double-blind multi-centre, randomised crossover trial within SWEET evaluating the acute impact of three S&SE blends (plant-based and alternatives) vs. a sucrose control on glycaemic response, food intake, appetite sensations and safety after a carbohydrate-rich breakfast meal. The blends were: mogroside V and stevia RebM; stevia RebA and thaumatin; and sucralose and acesulfame-potassium (ace-K). At each 4 h visit, 60 healthy volunteers (53% male; all with overweight/obesity) consumed a 330 mL beverage with either an S&SE blend (0 kJ) or 8% sucrose (26 g, 442 kJ), shortly followed by a standardised breakfast (∼2600 or 1800 kJ with 77 or 51 g carbohydrates, depending on sex). All blends reduced the 2-h incremental area-under-the-curve (iAUC) for blood insulin (p 0.05 for all). Compared with sucrose, there was a 3% increase in LDL-cholesterol after stevia RebA-thaumatin (p

IntroductionIntake of free sugars in European countries is high and attempts to reduce sugar intake have been mostly ineffective. Non-nutritive sweeteners and sweetness enhancers (S&SEs) can maintain sweet taste in the absence of energy, but little is known about the impact of acute and repeated consumption of S&SE in foods on appetite. This study aims to evaluate the effect of acute and repeated consumption of two individual S&SEs and two S&SE blends in semisolid and solid foods on appetite and related behavioural, metabolic and health outcomes.Methods and analysisA work package of the SWEET Project; this study consists of five double-blind randomised cross-over trials which will be carried out at five sites across four European countries, aiming to have n=213. Five food matrices will be tested across three formulations (sucrose-sweetened control vs two reformulated products with S&SE blends and no added sugar). Participants (body mass index 25–35 kg/m2; aged 18–60 years) will consume each formulation for 14 days. The primary endpoint is composite appetite score (hunger, inverse of fullness, desire to eat and prospective food consumption) over a 3-hour postprandial incremental area under the curve during clinical investigation days on days 1 and 14.Ethics and disseminationThe trial has been approved by national ethical committees and will be conducted in accordance with the Declaration of Helsinki. Results will be published in international peer-reviewed open-access scientific journals. Research data from the trial will be deposited in an open-access online research data archive.Trial registration numberNCT04633681.

ContextOverestimation or underestimation of portion size leads to measurement error during dietary assessment.ObjectiveTo identify portion size estimation elements (PSEEs) and evaluate their relative efficacy in relation to dietary assessment, and assess the quality of studies validating PSEEs.Data Selection and ExtractionElectronic databases, internet sites, and cross-references of published records were searched, generating 16 801 initial records, from which 334 records were reviewed and 542 PSEEs were identified, comprising 5% 1-dimensional tools (eg, food guides), 46% 2-dimensional tools (eg, photographic atlases), and 49% 3-dimensional tools (eg, household utensils). Out of 334 studies, 21 validated a PSEE (compared PSEE to actual food amounts) and 13 compared PSEEs with other PSEEs.ConclusionQuality assessment showed that only a few validation studies were of high quality. According to the findings of validation and comparison studies, food image–based PSEEs were more accurate than food models and household utensils. Key factors to consider when selecting a PSEE include efficiency of the PSEE and its applicability to targeted settings and populations.

Although there is considerable evidence for the portion-size effect and its potential impact on health, much of this has not been successfully applied to help consumers reduce portion sizes. The objective of this review is to provide an update on the strength of evidence supporting strategies with potential to reduce portion sizes across individuals and eating contexts. Three levels of action are considered: food-level strategies (targeting commercial snack and meal portion sizes, packaging, food labels, tableware, and food sensory properties), individual-level strategies (targeting eating rate and bite size, portion norms, plate-cleaning tendencies, and cognitive processes), and population approaches (targeting the physical, social, and economic environment and health policy). Food- and individual-level strategies are associated with small to moderate effects; however, in isolation, none seem to have sufficient impact on food intake to reverse the portion-size effect and its consequences. Wider changes to the portion-size environment will be necessary to support individual- and food-level strategies leading to portion control.

Portion control utensils and reduced size tableware amongst other tools, have the potential to guide portion size intake but their effectiveness remains controversial. This review evaluated the breadth and effectiveness of existing portion control tools on learning/awareness of appropriate portion sizes (PS), PS choice, and PS consumption. Additional outcomes were energy intake and weight loss. Published records between 2006–2020 (n = 1241) were identified from PubMed and WoS, and 36 publications comparing the impact of portion control tools on awareness (n = 7 studies), selection/choice (n = 14), intake plus related measures (n = 21) and weight status (n = 9) were analyzed. Non-tableware tools included cooking utensils, educational aids and computerized applications. Tableware included mostly reduced-size and portion control/calibrated crockery/cutlery. Overall, 55% of studies reported a significant impact of using a tool (typically smaller bowl, fork or glass; or calibrated plate). A meta-analysis of 28 articles confirmed an overall effect of tool on food intake (d = –0.22; 95%CI: –0.38, –0.06; 21 comparisons), mostly driven by combinations of reduced-size bowls and spoons decreasing serving sizes (d = –0.48; 95%CI: –0.72, –0.24; 8 comparisons) and consumed amounts/energy (d = –0.22; 95%CI: –0.39, –0.05, 9 comparisons), but not by reduced-size plates (d = –0.03; 95%CI: –0.12, 0.06, 7 comparisons). Portion control tools marginally induced weight loss (d = –0.20; 95%CI: –0.37, –0.03; 9 comparisons), especially driven by calibrated tableware. No impact was detected on PS awareness; however, few studies quantified this outcome. Specific portion control tools may be helpful as potentially effective instruments for inclusion as part of weight loss interventions. Reduced size plates per se may not be as effective as previously suggested.

Summary This systematic review with meta‐analyses aimed to identify the sensory and physical characteristics of foods/beverages which increase satiation and/or decrease/delay subsequent consumption without affecting acceptability. Systematic searches were first undertaken to identify review articles investigating the effects of any sensory and physical food characteristic on food intake. These articles provided some evidence that various textural parameters (aeration, hardness, homogeneity, viscosity, physical form, added water) can impact food intake. Individual studies investigating these effects while also investigating acceptability were then assessed. Thirty‐seven individual studies investigated a textural manipulation and provided results on food intake and acceptability, 13 studies (27 comparisons, 898 participants) investigated effects on satiation, and 29 studies (54 comparisons, 916 participants) investigated effects on subsequent intake. Meta‐analyses of within‐subjects comparisons (random‐effects models) demonstrated greater satiation (less weight consumed) from food products that were harder, chunkier, more viscous, voluminous, and/or solid, while demonstrating no effects on acceptability. Textural parameters had limited effects on subsequent consumption. Between‐subjects studies and sensitivity analyses confirmed these results. These findings provide some evidence that textural parameters can increase satiation without affecting acceptability. The development of harder, chunkier, more viscous, voluminous, and/or solid food/beverage products may be of value in reducing overconsumption.

This study investigates the relationship between the consumption of foods and eating locations (home, school/work and others) in British adolescents, using data from the UK National Diet and Nutrition Survey Rolling Program (2008&ndash, 2012 and 2013&ndash, 2016). A cross-sectional analysis of 62,523 food diary entries from this nationally representative sample was carried out for foods contributing up to 80% total energy to the daily adolescent&rsquo, s diet. Correspondence analysis (CA) was used to generate food&ndash, location relationship hypotheses followed by logistic regression (LR) to quantify the evidence in terms of odds ratios and formally test those hypotheses. The less-healthy foods that emerged from CA were chips, soft drinks, chocolate and meat pies. Adjusted odds ratios (99% CI) for consuming specific foods at a location &ldquo, other&rdquo, than home (H) or school/work (S) in the 2008&ndash, 2012 survey sample were: for soft drinks, 2.8 (2.1 to 3.8) vs. H and 2.0 (1.4 to 2.8) vs. S, for chips, 2.8 (2.2 to 3.7) vs. H and 3.4 (2.1 to 5.5) vs. S, for chocolates, 2.6 (1.9 to 3.5) vs. H and 1.9 (1.2 to 2.9) vs. S, and for meat pies, 2.7 (1.5 to 5.1) vs. H and 1.3 (0.5 to 3.1) vs. S. These trends were confirmed in the 2013&ndash, 2016 survey sample. Interactions between location and BMI were not significant in either sample. In conclusion, public health policies to discourage less-healthy food choices in locations away from home and school/work are warranted for adolescents, irrespective of their BMI.

Research in obesity has traditionally focused on prevention strategies and treatments aimed at changing lifestyle habits. However, recent research suggests that eating behavior is a habit regulated not only by homeostatic mechanisms, but also by the hedonic pathway that controls appetite and satiety processes. Cognitive, emotional, social, economic, and cultural factors, as well as organoleptic properties of food, are basic aspects to consider in order to understand eating behavior and its impact on health. This review presents a multisensory integrative view of food at both the homeostatic and non-homeostatic levels. This information will be of scientific interest to determine behavior drivers leading to overeating and, thus, to propose effective measures, at both the individual and population levels, for the prevention of obesity and associated metabolic diseases.

Las investigaciones sobre obesidad se centran fundamentalmente en buscar estrategias de prevencion y tratamientos encaminados a los cambios de habitos de estilos de vida. Sin embargo, con nuevas investigaciones, empieza a asumirse que el comportamiento alimentario es una conducta regulada no solo por mecanismos homeostaticos, sino que tambien es necesario valorar la via hedonica que regula los procesos de apetito y saciedad. Los factores cognitivos, emocionales, sociales, economicos y culturales y las propiedades organolepticas de los alimentos son aspectos basicos a valorar para comprender la conducta alimentaria y su impacto sobre la salud. Esta revision realiza una integracion multisensorial en referencia a la percepcion de los alimentos, tanto a nivel homeostatico como no homeostatico, y de esta manera poder interpretar cientificamente las conductas que conducen a una sobrealimentacion y a proponer medidas eficaces tanto a nivel individual como poblacional en la obesidad y enfermedades metabolicas asociadas.

Portion sizes for certain foods have been increasing dramatically in recent years alongside obesity rates, concurring with the phenomenon of the portion size effect (more is consumed when more is offered). Portion size may be defined based on different purposes such as for dietary assessment, or therapeutic advice or food labelling, resulting in a variety of measurement methods and specifications. This situation has resulted in disagreements on establishing portion size recommendations by manufacturers, food distributors, restaurants, health professionals and policy makers, contributing to confusion amongst consumers on the amounts of food to be consumed, and potentially increasing the likelihood of overeating and other obesity-related behaviours. Such variability is also reflected in the research field making comparison across studies on portion size difficult. The aim of this review is to provide an overview of definitions and methods used in research to evaluate portion-size related outcomes, including methods to estimate amounts consumed by individuals as part of dietary assessment; methods to analyse cognitive mechanisms related to portion size behaviour; and methods to evaluate the impact of portion size manipulations as well as individual plus environmental factors on portion size behaviour. Special attention has been paid to behavioural studies exploring portion size cognitive processes given the lack of previous methodological reviews in this area. This information may help researchers, clinicians and other stakeholders to establish clearer definitions of portion size in their respective areas of work and to standardise methods to analyse portion size effects.

Context: Dietary assessment in minority ethnic groups is critical for surveillance programs and for implementing effective interventions. A major challenge is the accurate estimation of portion sizes for traditional foods and dishes. Objective: The aim of this systematic review was to assess records published up to 2014 describing a portion-size estimation element (PSEE) applicable to the dietary assessment of UK-residing ethnic minorities. Data sources, selection, and extraction: Electronic databases, internet sites, and theses repositories were searched, generating 5683 titles, from which 57 eligible full-text records were reviewed. Data analysis: Forty-two publications about minority ethnic groups (n = 20) or autochthonous populations (n = 22) were included. The most common PSEEs (47%) were combination tools (eg, food models and portion-size lists), followed by portion-size lists in questionnaires/guides (19%) and image-based and volumetric tools (17% each). Only 17% of PSEEs had been validated against weighed data. Conclusions: When developing ethnic-specific dietary assessment tools, it is important to consider customary portion sizes by sex and age, traditional household utensil usage, and population literacy levels. Combining multiple PSEEs may increase accuracy, but such methods require validation.

Numerous strategies have been investigated to overcome the excessive weight gain that accompanies a chronic positive energy balance. Most approaches focus on a reduction of energy intake and the improvement of lifestyle habits. The use of high intensity artificial sweeteners, also known as non-caloric sweeteners (NCS), as sugar substitutes in foods and beverages, is rapidly developing. NCS are commonly defined as molecules with a sweetness profile of 30 times higher or more that of sucrose, scarcely contributing to the individual's net energy intake as they are hardly metabolized. The purpose of this review is first, to assess the impact of NCS on eating behaviour, including subjective appetite, food intake, food reward and sensory stimulation; and secondly, to assess the metabolic impact of NCS on body weight regulation, glucose homeostasis and gut health. The evidence reviewed suggests that while some sweeteners have the potential to increase subjective appetite, these effects do not translate in changes in food intake. This is supported by a large body of empirical evidence advocating that the use of NCS facilitates weight management when used alongside other weight management strategies. On the other hand, although NCS are very unlikely to impair insulin metabolism and glycaemic control, some studies suggest that NCS could have putatively undesirable effects, through various indirect mechanisms, on body weight, glycemia, adipogenesis and the gut microbiota; however there is insufficient evidence to determine the degree of such effects. Overall, the available data suggests that NCS can be used to facilitate a reduction in dietary energy content without significant negative effects on food intake behaviour or body metabolism, which would support their potential role in the prevention of obesity as a complementary strategy to other weight management approaches. More research is needed to determine the impact of NCS on metabolic health, in particular gut microbiota.

Background\ud Large portion sizes increase consumption and eating smaller portions is recommended as a weight control strategy. However, many people report difficulties enacting this advice. This study examined the experience of using two commercially available portion control tools by individuals trying to manage their weight.\ud Methods\ud In a cross-over design, 29 obese adults (18 women) who had attended a 12 week weight loss intervention in the community were invited to use two tool sets over a period of four weeks (two weeks each) with minimal health professional contact and to complete a semi-structured questionnaire about their experience. The tools were a guided crockery set (sector plate, calibrated bowl and calibrated glass) and a set of calibrated serving spoons (one for starch, one for protein and one for vegetables). Data were analysed using thematic framework analysis.\ud Results\ud A key theme category was educational benefits of the tools, such as generating awareness, guidance and gaining an ability to serve appropriate portions. Other key themes were tool usability, acceptability and feasibility related to the tool´s design. Suggested improvements included making instructions and calibration marks clearer and increasing versatility (e.g. for different foods, contexts and users).\ud Conclusions\ud Overall participants found both tools easy to use and potentially effective for learning to control portions suggesting that these instruments could be of help in weight management interventions alongside other strategies. Elements of the tool design could be important in mediating the educational effect of such tools and need further investigation.

Exposure to large portion sizes is a risk factor for obesity. Specifically designed tableware may modulate how much is eaten and help with portion control. We examined the experience of using a guided crockery set (CS) and a calibrated serving spoon set (SS) by individuals trying to manage their weight. Twenty-nine obese adults who had completed 7–12 weeks of a community weight-loss programme were invited to use both tools for 2 weeks each, in a crossover design, with minimal health professional contact. A paper-based questionnaire was used to collect data on acceptance, perceived changes in portion size, frequency, and type of meal when the tool was used. Scores describing acceptance, ease of use and perceived effectiveness were derived from five-point Likert scales from which binary indicators (high/low) were analysed using logistic regression. Mean acceptance, ease of use and perceived effectiveness were moderate to high (3·7–4·4 points). Tool type did not have an impact on indicators of acceptance, ease of use and perceived effectiveness (P>0·32 for all comparisons); 55 % of participants used the CS on most days v. 21 % for the SS. The CS was used for all meals, whereas the SS was mostly used for evening meals. Self-selected portion sizes increased for vegetables and decreased for chips and potatoes with both tools. Participants rated both tools as equally acceptable, easy to use and with similar perceived effectiveness. Formal trials to evaluate the impact of such tools on weight control are warranted.

Poverty-related food insecurity can be viewed as a form of economic and nutritional uncertainty that can lead, in some situations, to a desire for more filling and satisfying food. Given the current obesogenic food environment and the nature of the food supply, those food choices could engage a combination of sensory, neurophysiological, and genetic factors as potential determinants of obesity.

We examined the impact of regulatory action to reduce levels of artificial trans–fatty acids (TFAs) in food. We searched Medline, Embase, ISI Web of Knowledge, and EconLit (January 1980 to December 2012) for studies related to government regulation of food- or diet-related health behaviors from which we extracted the subsample of legislative initiatives to reduce artificial TFAs in food. We screened 38 162 articles and identified 14 studies that examined artificial TFA controls limiting permitted levels or mandating labeling. These measures achieved good compliance, with evidence of appropriate reformulation. Regulations grounded on maximum limits and mandated labeling can lead to reductions in actual and reported TFAs in food and appear to encourage food producers to reformulate their products.

The prevention of childhood obesity is a global priority. However, a range of complex social and environmental influences is implicated in the development of obesity and chronic disease that goes beyond the notion of individual choice. A population-level approach recognises the importance of access to and availability of healthy foods outside the home. These external food environments, in restaurants, supermarkets, and in school, or recreation and sports settings, are often characterised by energy dense, nutrient-poor food items that do not reflect the current nutritional guidelines for health. In addition, our understanding of these broader influences on nutritional intake is still limited. Particularly, lacking is a clear understanding of what constitutes the food environment, as well as robust measures of components of the food environment across different contexts. Therefore, this review summarises the literature on food environments of relevance to childhood obesity prevention, with a focus on places where children live, learn and play. Specifically, the paper highlights the approaches and challenges related to defining and measuring the food environment, discusses the aspects of the food environment unique to children and reports on environmental characteristics that are being modified within community, school and recreational settings. Results of the review show the need for a continued focus on understanding the intersection between individual behaviour and external factors; improved instrument development, especially regarding validity and reliability; clearer reported methodology including protocols for instrument use and data management; and considering novel study design approaches that are targeted at measuring the relationship between the individual and their food environment.

Background: Reductions in eating rate are recommended to prevent and treat obesity; yet, the relation between eating rate and energy intake has not been systematically reviewed, with studies producing mixed results. Objective: Our main objective was to examine how experimentally manipulated differences in eating rate influence concurrent energy intake and subjective hunger ratings. Design: We systematically reviewed studies that experimentally manipulated eating rate and measured concurrent food intake, self-reported hunger, or both. We combined effect estimates from studies by using inverse variance meta-analysis, calculating the standardized mean difference (SMD) in food intake between fast and slow eating rate conditions. Results: Twenty-two studies were eligible for inclusion. Evidence indicated that a slower eating rate was associated with lower energy intake in comparison to a faster eating rate (random-effects SMD: 0.45; 95% CI: 0.25, 0.65; P < 0.0001). Subgroup analysis indicated that the effect was consistent regardless of the type of manipulation used to alter eating rate, although there was a large amount of heterogeneity between studies. There was no significant relation between eating rate and hunger at the end of the meal or up to 3.5 h later. Conclusions: Evidence to date supports the notion that eating rate affects energy intake. Research is needed to identify effective interventions to reduce eating rate that can be adopted in everyday life to help limit excess consumption. © 2014 American Society for Nutrition.

Highlights • University staff/students showed poor awareness of appropriate portion sizes. • Unit number and meal classification affected portion size estimation. • Portion sizes in sugary drinks, pizza and pasta were underestimated by 30–46%. • Women were better at estimating food portion sizes than men., Estimating how much is appropriate to consume can be difficult, especially for foods presented in multiple units, those with ambiguous energy content and for snacks. This study tested the hypothesis that the number of units (single vs. multi-unit), meal type and food energy density disrupts accurate estimates of portion size. Thirty-two healthy weight men and women attended the laboratory on 3 separate occasions to assess the number of portions contained in 33 foods or beverages of varying energy density (1.7–26.8 kJ/g). Items included 12 multi-unit and 21 single unit foods; 13 were labelled “meal”, 4 “drink” and 16 “snack”. Departures in portion estimates from reference amounts were analysed with negative binomial regression. Overall participants tended to underestimate the number of portions displayed. Males showed greater errors in estimation than females (p = 0.01). Single unit foods and those labelled as ‘meal’ or ‘beverage’ were estimated with greater error than multi-unit and ‘snack’ foods (p = 0.02 and p

Socioeconomic inequalities in diet-related health outcomes are well-recognised, but are not fully explained by observational studies of consumption. We provide a novel analysis to identify purchasing patterns more precisely, based on data for take-home food and beverage purchases from 25,674 British households in 2010. To examine socioeconomic differences (measured by occupation), we conducted regression analyses on the proportion of energy purchased from (a) each of 43 food or beverage categories and (b) major nutrients. Results showed numerous small category-level socioeconomic differences. Aggregation of the categories showed lower SES groups generally purchased a greater proportion of energy from less healthy foods and beverages than those in higher SES groups (65% and 60%, respectively), while higher SES groups purchased a greater proportion of energy from healthier food and beverages (28% vs. 24%). At the nutrient-level, socioeconomic differences were less marked, although higher SES was associated with purchasing greater proportions of fibre, protein and total sugars, and smaller proportions of sodium. The observed pattern of purchasing across SES groups contributes to the explanation of observed health differences between groups and highlights targets for interventions to reduce health inequalities., Highlights • We give a novel, detailed account of purchasing by SES in 25,000 British households. • Lower SES groups purchased a greater proportion of less healthy food and drink. • Higher SES groups purchased proportionally more high-fat dairy and alcohol. • Overall, SES differences were less marked for nutrients than for food groups. • We highlight food groups to target for interventions to reduce health inequalities.

Insufficient energy compensation after a preload (meal, snack, or beverage) has been associated with excess energy intake, but experimental studies have used heterogeneous methodologies, making energy compensation difficult to predict. The aim of this systematic review was to analyze the relative contributions of two key variables, preload physical form and intermeal interval (IMI), to differences in energy compensation. Forty-eight publications were included, from which percent energy compensation (%EC) data were extracted for 253 interventions (121 liquid, 69 semisolid, 20 solid, and 43 composite preloads). Energy compensation ranged from −370% (overconsumption, mostly of liquids) to 450% (overcompensation). A meta-regression analysis of studies reporting positive energy compensation showed that IMI (as the predominant factor) together with preload physical form and energy contributed significantly to %EC differences, accounting for 50% of the variance, independently from gender and BMI. Energy compensation was maximized when the preload was in semisolid/solid form and the IMI was 30–120 min. These results may assist in the interpretation of studies assessing the relative efficacy of interventions to enhance satiety, including functional foods and weight management products.

ObjectiveTo explore the extent to which appetite status influences portion size estimation in men under laboratory conditions and to quantify how much participants’ portion estimates differed from the recommended portion sizes defined by authoritative bodies (i.e. government and health professionals’ reference amounts).DesignRepeated, randomized cross-over trial with each participant attending the laboratory on four separate occasions. At each session, participants rated the number of portions of eight foods and beverages displayed in front of them. Participants rated portions twice after consuming breakfast (full conditions) and twice after an overnight fast (hungry conditions). Portion estimates were compared with reference amounts from the British and American Dietetic Associations, from the UK Food Standards Agency and from the US Food and Drug Administration.SettingFood skills laboratory, University of Chester, UK.SubjectsTwenty-seven non-obese men (mean age 24·9 (sd6·5) years).ResultsPortion size estimates for all items were significantly smaller under hungry than under full conditions (P< 0·01). Relative to reference instruments, estimates were significantly smaller for all foods except banana, irrespective of appetite status (P< 0·001).ConclusionsIn this data set, appetite status altered the perception of food amounts. There were large discrepancies between participants’ perception of a portion and recommendations from health professionals and government standards. Nutritional educational strategies should take into account the role of hunger along with a person's familiarity with existing portion size systems when advising on portion sizes.

We explored the relationship between three food attributes and portion size estimation. Twenty-seven men rated liking, familiarity and expected satiation (ES) of a chocolate bar, muffin, banana, cola, cornflakes, potato chips (crisps), hot chocolate drink and ice-cream, before estimating portion size when hungry and full. Portion estimates correlated with liking ratings in three foods ( r = −0.53 to 0.28); with familiarity in two foods ( r = −0.30, full only); and with ES in four foods ( r ≤ 0.45). Across foods lower ES ratings tended to correlate with higher portion size estimates. Portion size estimation is influenced by food liking, familiarity and expected satiation.

Summary This study reports the use of upgraded ultrasonic velocity profiling with pressure difference methodology; extended from previous work demonstrating true in-line rheological and solid fat content (SFC) characterisation of complex opaque fat blends, subjected to scaled dynamic processing conditions. The experimental results have successfully confirmed previous non-invasive, in-line measurements for instantaneous velocity and rheological profiling of complex opaque fat blends [International Journal of Food Science and Technology43 (2008) 2083]. A method for in-line measurements under dynamic processing conditions to obtain the SFC of a fat blend was developed and successfully tested for a 30% palm stearin and 70% rapeseed oil system over a temperature range of 10–40 °C. These measurements correlated well with standard SFC values from pulsed-nuclear magnetic resonance (p-NMR) measurements deviating not more than +/– 2% SFC points from the standard p-NMR values.

Summary Although many food products are essentially emulsions, interest in the structuring of oil-continuous emulsions (and in specific cases water-continuous emulsions) is intense, particularly to meet the continuing challenge of reducing the degree of saturates in food systems. Consequently, it is necessary to observe the effects of structurants and to examine their impacts on current food systems. This is especially the case where novel structuring materials are used to wholly or partially replace traditional structurants. A multidisciplinary approach is discussed encompassing traditional and novel mechanisms considered able to structure within low saturated fat-based systems and which in themselves could also have emulsification properties. The presence of interfacial compositions as in emulsions requires a crucial understanding of the interactions within these compositions for the creation of building blocks in oil or fat structuring. Where a co-surfactant structure may be used, together with novel structurants, for example, wax esters, phytosterols, it is necessary to understand how these may influence interfacial film thickness, strength and flexibility. Understanding how to measure mechanical visco-elastic properties of structurant interactions both in model and real time dynamic measurements will be necessary to account for diffusion, orientation and self-assembly mechanisms. This review discusses combining traditional techniques with novel structurant technology; developing and validating dynamic measurement techniques; and investigation of real systems as opposed to purely model systems.

This study describes the validation of a new electronic appetite rating system, and a statistical variance model for visual analogue scale (VAS) research. Thirty volunteers rated hunger, fullness, desire to eat, prospective intake, thirst and liking on 100 mm paper VAS and on 70 mm electronic VAS presented on a Dell™ Pocket PC, after consuming breakfast, in a repeated trial. The electronic method was comparable in relative accuracy and reproducibility to the paper method, with weak differences between tests (within-subject SD ≤ 14 mm). The data obtained were used to generate a model for VAS data variability.

Background: Choosing small portions especially of low energy foods is a standard recommendation for weight management. However, this can result in rapid return of hunger or an increase in the next meal size. Enhancing the satiating capacities of low energy foods may help to overcome these effects. The present study compared the satiating properties of small servings of four low energy foods [465 kJ (111 kcal)] including a drinking yogurt enhanced for satiety. Methods: Thirty volunteers attended the laboratory to consume isoenergetic preloads of: a fibre-enriched drinking yogurt, a regular drinking yogurt, plain crackers, fresh banana; or an isovolumetric serving of water. Satiety was analysed using visual analogue scales, before and every 15 min after consumption for 60 min, when ad libitum food intake was measured. Results: The yogurts and the banana were more satiating than water and crackers (P regular yogurt > banana > crackers > water. Overall, the fibre-enriched drinking yogurt tended to be more satiating than the other foods.

Recent advances in the approaches used to quantify expectations of satiation and satiety have led to a better understanding of how humans select and consume food, and the associated links to energy intake regulation. When compared calorie for calorie some foods are expected to deliver several times more satiety than others, and multiple studies have demonstrated that people are able to discriminate between similar foods reliably and with considerable sensitivity. These findings have implications for the control of meal size and the design of foods that can be used to lower the energy density of diets. These methods and findings are discussed in terms of their implications for weight management. The current paper also highlights why expected satiety may also play an important role beyond energy selection, in moderating appetite sensations after a meal has been consumed, through memory for recent eating and the selection of foods across future meals.

Eating location has been linked with variations in diet quality including the consumption of low-nutrient energy-dense food, which is a recognised risk factor for obesity. Cross-sectional data from 4736 adults aged 19 years and over from Years 1–6 of the UK National Diet and Nutrition Survey (NDNS) Rolling Programme (RP) (2008–2014) were used to explore food consumption patterns by eating location. Eating location was categorized as home, work, leisure places, food outlets and “on the go”. Foods were classified into two groups: core (included in the principal food groups and considered important/acceptable within a healthy diet) and non-core (all other foods). Out of 97,748 eating occasions reported, the most common was home (67–90% of eating occasions). Leisure places, food outlets and “on the go” combined contributed more energy from non-core (30%) than from core food (18%). Analyses of modulating factors revealed that sex, income, frequency of eating out and frequency of drinking were significant factors affecting consumption patterns (p < 0.01). Our study provides evidence that eating patterns, behaviours and resulting diet quality vary by location. Public health interventions should focus on availability and access to healthy foods, promotion of healthy food choices and behaviours across multiple locations, environments and contexts for food consumption.

Objectives To compare the satiating power of semisolid and liquid yogurts with fruit beverages and dairy fruit drinks. Design and procedures Thirty-two volunteers (16 men and 16 women), ages 18 to 35 years, consumed a 200-kcal preload stimulus on four separate occasions. A tray lunch was presented 90 minutes after the preload and food consumption was measured. Methods The stimuli were: a semisolid yogurt containing pieces of peach and eaten with a spoon (378 g), the same yogurt in a drinkable homogenized form (378 g), a peach-flavored dairy beverage (400 mL), and a peach juice beverage (400 mL). Participants rated hunger, thirst, satiety, and desire to eat at baseline and at 20-minute intervals after ingestion. Results The two yogurts (semisolid and liquid) led to lower hunger and higher fullness ratings as compared with the fruit drink or dairy fruit drink. There was no difference in satiety profiles between the yogurt that was eaten with a spoon and the drinkable version. Energy intakes at lunch were the same across all four conditions (mean±standard deviation, 806±43 kcal). Conclusions The two yogurts were more satiating than the two beverages. However, lower hunger and higher fullness ratings after yogurt consumption did not lead to energy compensation at the next meal.

The energy density of foods and beverages is defined as the available energy per unit weight (kJ/g). Energy density of the diet is usually calculated excluding non-caloric beverages and drinking water. Because water contributes more to the weight of foods than any macronutrient, energy-dense foods are not necessarily those high in sugar or fat, but those that are dry. Evidence linking dietary energy density with body weight is critically evaluated in this review. Existing reports of a positive association between dietary energy density, higher energy intakes, and weight gain are based on laboratory and clinical studies. Although some cross-sectional epidemiological studies have linked dietary energy density with higher body mass index (BMI) values, the data are not consistent. At this time, there are no longitudinal cohort data linking dietary energy density with higher obesity risk.

Energy compensation following the consumption of caloric beverages is said to be imprecise and incomplete. This study compared the relative impact on satiety and energy intakes of the physical form of foods versus the timing of consumption. Thirty-two volunteers (16 men and 16 women), aged 18-35 years, consumed equal-energy preloads (1254 kJ, 300 kcal) of regular cola (710 ml, 24 oz) or fat-free raspberry cookies (87 g, 3 oz) on two occasions each. The preloads were presented either 2 h or 20 min before the test meal. Their principal ingredient was sugar. Participants rated motivational states prior to ingestion and at 30-min intervals. A tray lunch was presented at 12:30 p.m., and food consumption was measured. Regular cola and cookies suppressed hunger ratings equally and no temporal difference in satiety was observed. Cola, but not cookies, resulted in lower ratings of thirst. Energy intakes at lunch were lower when the preload was consumed closer to the test meal (20 min) but was not affected by physical form (liquid vs. solid). Cola, but not cookies, reduced water intakes at lunch. There was no satiety deficit following the ingestion of a beverage as compared with a solid food. The timing of consumption may be more important than the physical form of energy consumed.

Increasing rates of obesity and overweight have been attributed to the growing proportion of dietary energy that is consumed in liquid form. Liquids reportedly fail to trigger physiological satiety mechanisms so that compensation for energy consumed as beverages may be imprecise and incomplete. Sweetened beverages have come under particular scrutiny, as their consumption exceeds that of milk and fruit and vegetable juices. However, the evidence that liquids have less impact on satiety than do solid foods remains inconclusive. Some published studies have reported that liquids are less satiating than solids, whereas other studies have reported that solids are less satiating than liquids. In laboratory studies, the degree of energy compensation following pre-load ingestion was influenced by subject characteristics, pre-load volume, or the time lag between the pre-load and the next meal. Such factors appear to interact with pre-load texture in their impact on hunger and satiety and later food consumption.

Whereas soft drinks are described as primarily thirst-quenching liquids, juices and milk are said to be liquid foods, with a greater satiating power. This study was conducted to compare the effects of orange juice, low-fat milk (1%), regular cola, and sparkling water on hunger, thirst, satiety, and energy intakes at the next meal. Thirty-two volunteers (14 men and 18 women), ages 18-35 years, consumed a breakfast preload composed of 590 ml (20 oz) of an energy-containing beverage (1036 kJ) or water (0 kJ) and a slice of toast (418 kJ) on four different occasions. Participants rated hunger, thirst, fullness, and desire to eat at baseline and at 20-min intervals for 2 h following preload ingestion. A tray lunch was presented at 2 h, 15 min and food consumption was measured. Compared to sparkling water, the three energy-containing beverages were associated with higher fullness and reduced hunger rating and desire to eat. However, energy intakes at lunch (4511+/-151 kJ for men and 3183+/-203 kJ for women) were the same across all four beverage conditions and no compensation for breakfast energy was observed. The three beverages of equal energy value were significantly different from sparkling water, but not from each other, in their effects on hunger and satiety ratings. All four beverages satisfied thirst equally well. Whether energy-containing cola, juice, and low-fat milk facilitate a positive energy balance remains a topic for further study.

Exposure to large portion sizes has been linked with positive energy balance and weight gain but the mechanism is unclear. Large portions may influence the amount of food we put in our mouth (bite size), how fast we consume it (eating rate), or how this speed is maintained over the course of the meal (deceleration rate). We present preliminary data on the eating rate (ER), bite size (BS) and deceleration rates (DR) among 21 overweight women. Participants attended the laboratory on two occasions at lunch time after a 3 h fast and consumed a small (229 g; 43% below standard) or large (700 g; 75% above standard) portion of a chilli-con-carne meal in random order. Meal eating parameters were measured with the Sussex Ingestion Pattern Monitor. Mean BS for the small and large portions was 8.3 ± 0.6 g and 11.4 ± 1.7 g (mean difference −3.1 ± 1.4 g, 95%CI −6.2 to −0.1, n13). Mean ER did not differ between portion sizes (small 60.2 ± 5.1 vs. large 58.2 ± 5.0 g/min, n19). Median DR was lower for the large compared with the small portion (0.001 vs. 0.004 g/s2, n13). For the small meal, ER (r = 0.53) and DR (r = 0.51) correlated significantly with BMI (n21) and BS correlated with restraint scores (r = 0.56, n13). Compared with a small portion, exposure to a large portion of a hot meal led to an increase in bite size and a reduction in the deceleration rate towards the end of the meal. These changes may contribute to excessive energy intakes with exposure to large portion sizes.