Menu labelling is a practical tool to inform consumers of the energy content of menu items and help consumers make informed decisions in the eating-out environment, and the volume of studies published recently regarding its effects is expanding, both quantitatively and geographically. The aim of the present review and meta-analysis is to consider the most recent evidence which assesses the effect of menu labelling regarding changes in energy consumed, ordered or selected in both real-world and experimental settings.

The review included fifteen peer-reviewed, full-text articles published between 2012 and 2014. Pertinent methodological information was extracted from each of the included studies and a quality assessment scheme was applied to classify the studies, after which systematic across-study comparisons were conducted. A meta-analysis was conducted including twelve of the fifteen studies, and stratified according to type of research setting and outcome: energy consumed, ordered or selected.

The rating yielded studies categorized by study quality: good (n 3), fair (n 9) and weak (n 3). Overall nine studies showed statistically significant reductions in energy consumed, ordered or selected. Three articles reported no effect of menu labelling. The meta-analysis showed statistically significant effects of menu labelling: overall energy consumed was reduced by a mean of 419·5 kJ (100·2 kcal) and energy ordered in real-world settings decreased by a mean of 325·7 kJ (77·8 kcal).

The review supports that menu labelling can effectively reduce energy ordered and consumed in the away-from-home food environment.

The purpose of the present study was to examine the effects of food label nutrition colouring schemes in interaction with food category healthiness on consumers’ perceptions of food healthiness. Three streams of colour theory (colour attention, colour association and colour approach-avoidance) in interaction with heuristic processing theory provide consonant predictions and explanations for the underlying psychological processes.

A 2 (food category healthiness: healthy v. unhealthy)×3 (food label nutrient colouring schemes: healthy=green, unhealthy=red (HGUR) v. healthy=red, unhealthy=green (HRUG) v. no colour (control)) between-subjects design was used.

The research setting was a randomised-controlled experiment using varying formats of food packages and nutritional information colouring.

Respondents (n 196) sourced from a national consumer panel, USA.

The findings suggest that, for healthy foods, the nutritional colouring schemes reduced perceived healthiness, irrespective of which nutrients were coloured red or green (healthinesscontrol=4·86; healthinessHGUR=4·10; healthinessHRUG=3·70). In contrast, for unhealthy foods, there was no significant difference in perceptions of food healthiness when comparing different colouring schemes against the control.

The results make an important qualification to the common belief that colour coding can enhance the correct interpretation of nutrition information and suggest that this incentive may not necessarily support healthier food choices in all situations.

Food packaging often pictures supplementary extras, such as toppings or frosting, that are not listed on the nutritional labelling. The present study aimed to assess if these extras might exaggerate how many calories† are pictured and if they lead consumers to overserve.

Four studies were conducted in the context of fifty-one different cake mixes. For these cake mixes, Study 1 compared the calories stated on the nutrition label with the calories of the cake (and frosting) pictured on the box. In Studies 2, 3 and 4, undergraduates (Studies 2 and 3) or food-service professionals (Study 4) were given one of these typical cake mix boxes, with some being told that cake frosting was not included on the nutritional labelling whereas others were provided with no additional information. They were then asked to indicate what they believed to be a reasonable serving size of cake.

Laboratory setting.

Undergraduate students and food-service professionals.

Study 1 showed that the average calories of cake and frosting pictured on the package of fifty-one different cake mixes exceed the calories on the nutritional label by 134 %. Studies 2 and 3 showed that informing consumers that the nutritional information does not include frosting reduces how much people serve. Study 4 showed that even food-service professionals overserve if not told that frosting is not included on the nutritional labelling.

To be less misleading, packaging should either not depict extras in its pictures or it should more boldly and clearly state that extras are not included in calorie counts.

Nutrition labels are an essential source for consumers to obtain nutrition-related information on food products and serve as a population-level intervention with unparalleled reach. The present study systematically reviewed existing evidence on the correlates of nutrition label use among college students and young adults.

Keyword and reference searches were conducted in PubMed, EBSCO, PsycInfo, Cochrane Library and Web of Science. Inclusion criteria included: study design (randomized controlled trial, cohort study, pre–post study or cross-sectional study); population (college students and young adults 18–30 years old); main outcome (nutrition label use); article type (peer-reviewed publication); and language (English).

College/university.

College students and young adults.

Sixteen studies based on data from college surveys in four countries (USA, UK, Canada, South Korea) were identified from keyword and reference search. Reported prevalence of nutrition label use varied substantially across studies; a weighted average calculation showed 36·5 % of college students and young adults reported using labels always or often. Females were more likely to use nutrition labels than males. Nutrition label use was found to be associated with attitudes towards healthy diet, beliefs on the importance of nutrition labels in guiding food selection, self-efficacy, and nutrition knowledge and education.

The impact of nutrition labelling on food purchase and intake could differ by population subgroups. Nutrition awareness campaigns and education programmes may be important mechanisms for promoting nutrition label use among college students and young adults. Future research is warranted to assess the role of label use on improved dietary decisions.

To assess the role of diabetes diagnosis as a potential teachable moment in nutrition facts label use among US adults.

Logistic regression analyses were conducted to examine the relationship between diabetes diagnosis status (diagnosed diabetes, undiagnosed diabetes, diagnosed prediabetes, undiagnosed prediabetes, no diabetes or prediabetes) and self-reported nutrition facts label use, adjusted by individual characteristics and survey design.

Study sample came from the National Health and Nutrition Examination Survey 2005–2010 waves.

A total of 5110 US adults aged 20 years and older were included in the analyses. Diabetes/prediabetes was identified by fasting plasma glucose and glycated Hb testing.

People with diagnosed diabetes/prediabetes were substantially more likely to report nutrition facts label use when making daily food purchase decisions compared with those with undiagnosed diabetes/prediabetes, whereas the prevalence of nutrition facts label use was similar between people with undiagnosed diabetes/prediabetes and those without diabetes/prediabetes. The adjusted prevalence (95 % CI) of any and regular nutrition facts label use was 85·93 (82·91, 88·95) % and 55·60 (50·04, 61·16) % among those with diagnosed diabetes, respectively, in comparison to 71·50 (59·64, 83·37) % and 32·88 (19·11, 46·65) % among those with undiagnosed diabetes. Analogously, the adjusted prevalence (95 % CI) of any and regular nutrition facts label use was 81·16 (75·27, 87·06) % and 45·28 (37·28, 53·29) % among those with diagnosed prediabetes, respectively, in comparison to 72·83 (68·06, 77·59) % and 39·95 (34·02, 45·89) % among those with undiagnosed prediabetes.

As a potential teachable moment, diabetes diagnosis may positively impact nutrition facts label use and motivate diabetic patients to manage their condition through making healthier food choices.

The goal of the present study was to apply experimental economic methods in an online supermarket to examine the effects of nutrient profiling, and differential pricing based on the nutrient profile, on the overall diet quality, energy and macronutrients of the foods purchased, and diet cost.

Participants were provided nutrient profiling scores or price adjustments based on nutrient profile scores while completing a hypothetical grocery shopping task. Prices of foods in the top 20 % of nutrient profiling scores were reduced (subsidized) by 25 % while those in the bottom 20 % of scores were increased (taxed) by 25 %. We evaluated the independent and interactive effects of nutrient profiling or price adjustments on overall diet quality of foods purchased as assessed by the NuVal® score, energy and macronutrients purchased and diet cost in a 2×2 factorial design.

A large (>10 000 food items) online experimental supermarket in the USA.

Seven hundred and eighty-one women.

Providing nutrient profiling scores improved overall diet quality of foods purchased. Price changes were associated with an increase in protein purchased, an increase in energy cost, and reduced carbohydrate and protein costs. Price changes and nutrient profiling combined were associated with no unique benefits beyond price changes or nutrient profiling alone.

Providing nutrient profile score increased overall NuVal® score without a reduction in energy purchased. Combining nutrient profiling and price changes did not show an overall benefit to diet quality and may be less useful than nutrient profiling alone to consumers who want to increase overall diet quality of foods purchased.

To compare two front-of-pack nutrition labelling systems for the assessment of packaged foods and drinks with Australian Dietary Guidelines.

A cross-sectional nutrient profiling assessment. Food and drink products (n 20 225) were categorised into scoring levels using criteria for the Institute of Medicine (IOM) three-star system and the five-star Australian Health Star Rating (HSR). The effectiveness of these systems to categorise foods in accordance with Australian Dietary Guidelines was explored.

The study was conducted in Australia, using a comprehensive food database.

Packaged food and drink products (n 20 225) available in Australia.

Using the IOM three-star system, the majority (55 %) of products scored the minimum 0 points and 25·5 % scored the maximum 3 points. Using HSR criteria, the greatest proportion of products (15·2 %) scored three-and-a-half stars from a possible five and 12·5 % received the lowest rating of a half-star. Very few products (4·1 %) scored five stars. Products considered core foods and drinks in Australian Dietary Guidelines received higher scores than discretionary foods in all food categories for both labelling systems (all P<0·05; Mann–Whitney U test), with the exception of fish products using IOM three-star criteria (P=0·603). The largest discrepancies in median score between the two systems were for the food categories edible oils, convenience foods and dairy.

Both the IOM three-star and Australian HSR front-of-pack labelling systems rated packaged foods and drinks broadly in line with Australian Dietary Guidelines by assigning core foods higher ratings and discretionary foods lower ratings.

To evaluate consistency levels of nutrition labelling on supermarket websites.

This is a comparative, quantitative study examining page position, content and design of nutrition labels on own-brand and branded products. Online and in-store nutrition labels were examined, categorised and analysed to discern variety of label designs used and consistency between online and in-store labelling.

Five large online food retailers in the UK.

Nutrition labels displayed on 100 webpages were examined for twenty branded and own-brand products. Equivalent labels on in-store packaged products were also examined.

Eight different combinations of nutrition label designs were found. The online supermarket sites were found to use from three to six of these label combinations across the sample. The consistency level between online and in-store package labels ranged from 25 % to 90 %. In many cases the nutrition label required scrolling to view and in all cases items could be purchased without the label being visible from the search result listings.

The main recommendation of the paper is that online nutrition labelling needs to be much more consistently presented than is currently practised, both within each website and between online and in-store experiences. Particular attention should be made to polychrome colour and the inclusion of summary graphics. Designers should also ensure visibility of the label and raise its vertical page position. The paper also proposes additional expansion of the use of nutrition information online, using nutrition values as database fields in search criteria and checkout aggregation reporting.

To examine temporal trends and determinants of discretionary salt use in the USA.

Multiple logistic regression was used to assess temporal trends in discretionary salt use at the table and during home cooking/preparation, adjusting for demographic characteristics, using data from the National Health and Nutrition Examination Survey 2003–2012. Prevalence and determinants of discretionary salt use in 2009–2012 were also examined.

Participants answered salt use questions after completing a 24 h dietary recall in a mobile examination centre.

Nationally representative sample of non-institutionalized US children and adults, aged ≥2 years.

From 2003 to 2012, the proportion of the population who reported using salt ‘very often’ declined; from 18 % to 12 % for use at the table (P<0·01) and from 42 % to 37 % during home cooking (P<0·02). While one-third of the population reported never adding salt at the table, most used it during home cooking/preparation (93 %). Use of discretionary salt was least commonly reported among young children and older adults and demographic and health subgroups at risk of CVD.

While most people reported using salt during home cooking/preparation, a minority reported use at the table. Reported ‘very often’ discretionary salt use has declined. That discretionary salt use is less common among those at risk of CVD suggests awareness of messages to limit Na intake.

We estimated the prevalence of food insecurity among people who inject drugs (PWID) in Los Angeles and San Francisco and explored correlates of food insecurity.

A cross-sectional study that measured 30 d food insecurity using the US Adult Food Security Survey ten-item Module developed by the US Department of Agriculture. Food insecurity was defined as including low and very low food security.

Two cities in the state of California, USA.

Male and female active PWID (n 777).

Among participants, 58 % reported food insecurity and 41 % reported very low food security. Food-insecure PWID were more likely to report being homeless (prevalence ratio (PR)=1·20; 95 % CI 1·05, 1·37), chest pain in the past 12 months (PR=1·19; CI 1·06, 1·35), acquiring syringes from someone who goes to a syringe exchange programme (PR=1·27; 95 % CI 1·13, 1·43) and feeling at risk for arrest for possession of drug paraphernalia (PR=1·30; 95 % CI 1·15, 1·46).

Current food insecurity was common among PWID in these two cities, yet few factors were independently associated with food insecurity. These data suggest that broad strategies to improve food access for this high-risk population are urgently needed.

To explore if the secular trend in height is contributing to delay overweight rise among Brazilian adolescents.

Changes in BMI mean over time were fitted using linear regression including as independent variables survey year, height, survey-specific income quintiles, age and an interaction term of height × survey year. Overweight was defined as BMI≥25·0 kg/m2. Changes in overweight prevalence over time were fitted using Poisson regression.

Four national household surveys: 1974/5, 1989, 2002/3 and 2008/9.

Brazilian adolescents.

Mean values of height and BMI increased over the period, for both sexes and in all age ranges, except for girls aged 14–19 years from 1989 to 2002/3. The highest average increment and mean rate of height were between 1989 and 2002/3 and in 10–15-year-olds. The annual increment of height decreased from 2002/3 to 2008/9 in parallel with the increment in BMI rate. After fitting the regression model, the height × survey year interaction and per capita income were strong vectors to increase BMI mean. Changes in increment rate of height played a protective role against overweight in the last two periods for both sexes, mainly for girls. The period from 1989 to 2002/3 was the strongest vector associated with overweight in boys and the association decreased to the next period, from 2002/3 to 2008/9.

BMI and height of adolescents have increased in a wavering and alternate way throughout four decades in Brazil. The rate of height increment has played a protective role against overweight in adolescents.

Malnutrition is a common and relevant syndrome in elderly people due to its influence on quality of life. The main aim of the present study was to identify health determinants of malnutrition or risk of malnutrition.

Cross-sectional study collecting information on sociodemographic and health factors (co-morbidity, cognitive or affective problems, prescription medication use, frailty status, self-rated health) as determinants of nutritional status, assessed by the short form of the Mini Nutritional Assessment.

Forty-three senior centres from Galicia (north-western Spain) participated to recruit participants.

A representative community-dwelling sample of 749 elderly people aged ≥65 years.

Of the total participants, 14·3 % were malnourished/at risk of malnutrition. Presence of overweight or obesity, depressive symptoms, polypharmacy (use of five or more prescription medications), presence of pre-frailty or frailty status and poor self-rated health showed the strongest relationship to malnutrition/risk of malnutrition. This model predicted 86·0 % of the cases correctly. The best determinants for women were polypharmacy and poor self-rated health, reaching 82·8 % of cases of malnourishment/risk of malnutrition predicted correctly. In men, the main determinants were overweight or obesity, depressive symptomatology and polypharmacy, with 89·8 % of cases of malnourishmen/risk of malnutrition predicted correctly.

Screening for nutritional status and its determinant factors should be included as part of comprehensive assessments to ensure an early screening of malnutrition and to propose possible intervention strategies that would be important for both elderly people and the health-care system.

To explore whether socio-economic differences exist in cardiometabolic risk markers in children and whether lifestyle-related factors potentially mediate these differences.

Cross-sectional study including measurements of fasting blood lipids, glucose, homeostasis model assessment of insulin resistance (HOMA-IR), blood pressure and heart rate. Potential mediators examined were fat mass index (FMI); intakes of fruit, vegetables, dietary fibre and added sugar; whole-blood n-3 long-chain PUFA (LCPUFA) as a biomarker of fish intake; and physical activity and sedentary time.

Nine primary schools in Denmark.

Children aged 8–11 years (n 715).

Children of parents with the shortest compared with longest education had higher TAG by 0·12 (95 % CI 0·04, 0·21) mmol/l and HOMA-IR by 0·36 (0·10, 0·62), whereas children of parents with a vocational education had higher total cholesterol by 0·14 (0·02, 0·27) mmol/l and LDL cholesterol by 0·14 (0·03, 0·25) mmol/l compared with children of parents with the longest education; all P<0·05. FMI explained 25 % of the difference in TAG, 64 % of the difference in HOMA-IR and 21–29 % of the differences in cholesterols. FMI and whole-blood n-3 LCPUFA combined explained 42 % of the difference in TAG, whereas FMI, whole-blood n-3 LCPUFA and dietary fibre explained 89 % of the difference in HOMA-IR.

Socio-economic differences were present in blood lipids and insulin resistance among 8- to 11-year-olds and were mediated by body fatness, whole-blood n-3 LCPUFA and dietary fibre. These lifestyle factors may be targets in public initiatives to reduce socio-economic differences. Confirmation in longitudinal studies and trials is warranted.

To identify the association of household food insecurity (HFI) with anthropometric status, the risk of vitamin A deficiency and anaemia, morbidities such as cough and fever, and hospitalizations for diarrhoea and pneumonia in children under 5 years old.

Cross-sectional study using data from the 2006 Brazilian Demographic and Health Survey. HFI was measured with the Brazilian Food Insecurity Measurement Scale (EBIA). Vitamin A deficiency and anaemia were assessed in blood samples. Child morbidities were reported by the child’s mother and included cough, fever, and hospitalizations for diarrhoea and pneumonia. Regression results were expressed as unadjusted and adjusted OR and corresponding 95 % CI for severe food insecurity, with statistical significance set at P<0·05.

Nationally representative survey.

Children (n 4064) under 5 years old.

There was no association between HFI and vitamin A deficiency, pneumonia, wasting or overweight. The prevalence of cough, fever, hospitalization for diarrhoea and stunting were associated with degree of HFI severity. There was a significant association of morbidities and stunting with severe food insecurity (v. food secure). After controlling for confounders, the association between severe food insecurity (v. food secure/rest of food insecurity categories) and the prevalence of common morbidities remained strong, showing that severely food-insecure children had a greater likelihood of experiencing cough (adjusted OR=1·79) and of being hospitalized for diarrhoea (adjusted OR=2·55).

Severe HFI was associated with cough and severe diarrhoea among Brazilian children.

The present study aimed to compare different indicators of obesity in the Serbian adult population.

Cross-sectional study. A stratified, two-stage, national-representative random sampling approach was used for the selection of the survey sample. Data sources were questionnaires created according to the European Health Interview Survey questionnaire. Measurements of weight, height and waist circumference (WC) were performed using standard procedures. Anthropometric measures included BMI, WC and waist-to-height ratio (WHtR).

Data for the study were obtained from the 2013 National Health Survey, performed in line with the EUROSTAT recommendations for performance of the European Health Interview Survey.

Adults aged ≥20 years.

According to BMI, out of the whole studied population (12 460 adults of both sexes) 2·4 % were underweight, 36·4 % overweight and 22·4 % obese. Using WC and WHtR as measures of adiposity showed that 22·5 % and 42·8 % of participants were overweight and 39·8 % and 25·3 % were obese, respectively. Men and women differed significantly in all variables observed. Overweight was more frequent in men and obesity in women regardless of adiposity measure used.

In spite of strong correlations between BMI, WC and WHtR, substantial discrepancies between these three measures in the assessment of overweight and obesity were found, especially in some age groups. Which of these anthropometric measures should be used, or whether two or all three of them should be applied, depends on their associations with cardiovascular or some other disease of interest.