Studies have shown that the consumption of added sugars may be associated with harmful health effects. The present study investigated the presence and types of added sugars in packaged foods.

Cross-sectional analysis of the presence and types of added sugars in the ingredients lists of packaged foods sold in a major Brazilian supermarket. The nomenclature of ingredients classified as added sugars and their frequency were identified. Data were organised and analysed through descriptive statistics: absolute and relative frequencies of the presence of added sugars categorised by food groups were calculated, and ingredients were analysed by text mining using R statistical environment.

A supermarket in Florianópolis, a metropolis in southern Brazil.

Packaged food products (n 4539) classified into eight groups.

Of the 4539 products, 71 % had some type of added sugar. The group with the highest frequency of added sugars was ‘products in which carbohydrates and fats are the main energy source’ (93 %). Food groups containing predominantly salty foods had a high frequency of added sugars, such as ‘meats and eggs’ (61 %). In total, 179 different terms for added sugars were identified, of which sugar, maltodextrin and glucose syrup were the most frequent.

Most of the packaged foods sold in Brazil contain added sugars, which may hamper adherence to the recommendation of limiting added sugars intake. The data may be useful for monitoring tendencies in the use of added sugars in packaged foods and as supplementary information to support the improvement of food label regulations.

By clearly conveying the healthiness of a food, front-of-pack (FOP) labels have the potential to influence the portion size considered appropriate for consumption. The present study examined the how the Daily Intake Guide (DIG), Multiple Traffic Lights (MTL) and Health Star Rating (HSR) FOP labels affect judgements of appropriate portion sizes of unhealthy foods compared with when no FOP label is present.

Respondents viewed mock packages of unhealthy variations of pizzas, cookies, yoghurts and cornflakes featuring the DIG, MTL, HSR or no FOP label, and indicated the portion size they believed should be eaten of each food on a single occasion.

The survey was completed on the respondent’s personal computer.

A total of 1505 Australian adults provided 4166 ratings across 192 mock packages relating to four product categories: pizza, yoghurt, cornflakes and cookies.

Compared with no FOP label, the HSR resulted in a small but significant reduction in the portion size selected as appropriate for consumption of pizzas and cornflakes (P<0·05). The MTL resulted in smaller portions of cornflakes being selected compared with no FOP label (P<0·05).

Respondents perceived smaller portion sizes as appropriate for some, but not all, of the foods tested when FOP labels with more interpretative formats (HSR, MTL) appeared on-pack compared with no FOP label. No effect was found for the less interpretive FOP label (the DIG). Interpretive FOP labels may have the potential to influence portion size judgements, albeit at modest levels.

To determine the ability of consumers to: locate and manipulate food label information; assess the accuracy of nutrient content claims and which health/nutrient claims are allowed; and identify symbols on food labels. Associations pertaining to use and knowledge regarding food label information were also determined for consumers from different demographic and related groups.

An exploratory descriptive study was undertaken, employing a face-to-face survey focusing on demographic information, shopping behaviour, nutrition is important beliefs, label use, label knowledge and label preference and information sources.

Selected public locations in Potchefstroom in the North West Province of South Africa.

Respondents (n 229) complying with set inclusion criteria were recruited through purposive sampling.

The results indicated respondents’ general health and label awareness, as most of them (>80 %) could locate label information and identify symbols and specific nutrient content claims although only 53 % were able to calculate the number of servings. Nevertheless, an inability was found to assess the accuracy of some nutrient content claims and permissible health/nutrient claims. More educated, younger, Afrikaans- and English-speaking respondents seemed to be more knowledgeable regarding food label information.

Respondents who were informed about nutrition were also informed about label information, while label reading practices resulted in label-influenced purchasing decisions. Educational programmes on food labels should start with nutritional background that could be implemented by consumers during label reading and purchasing decisions.

To evaluate the associations between sociodemographic and psychosocial characteristics and food label (FL) use in US adults.

Data from the 1994–1996 Continuing Survey of Food Intakes by Individuals and the Diet and Health Knowledge Survey were used. High socio-economic status (SES) was defined as >high school education and poverty–income ratio (PIR) >350 %, low SES as <high school level or PIR <130 %. Dietary intakes were assessed using 24 h recalls.

Metropolitan statistical area-central city, -suburban, and rural areas in the USA.

US adults (n 2797; 1460 men, 1337 women) aged 20–64 years.

Approximately 80 % of Americans reported using FL, including checking the nutrition panel, list of ingredients, short phrases, serving size, or health benefits. Only 26 % used all FL information. Compared with white women of higher SES, white men, black men and women with lower SES were 77–90 % less likely to use FL. Rural residents were 40 % less likely (OR = 0·60; 95 % CI 0·42, 0·86). Participants with good nutrition knowledge, perceptions and beliefs were twice as likely to check FL for nutrient content of foods (OR = 2·28; 95 % CI 1·53–3·40). Those who were unaware of diet–disease relationships were less likely to use FL (OR = 0·53; 95 % CI 0·32–0·85). Among overweight/obese Americans (BMI ≥ 25 kg/m2), those who perceived their weight ‘about right’ were 51 % less likely to use FL than those perceiving themselves as overweight.

Men, especially black men, women of low SES, rural residents and overweight Americans with inaccurate self-perception of body weight are less likely to use FL and should be targeted for increased intervention.

Previous studies focused on a limited number of determinants of food label use. We therefore tested a comprehensive model of food label use consisting of sociodemographic, health-related and motivating variables. These three predictor groups were chosen based on the previous literature and completed with new predictors not yet examined in a comprehensive study of frequency of label use.

We sent questionnaires to a random sample of households in the German-speaking part of Switzerland.

The respondents filled in the questionnaire at home and returned it by mail.

We analysed the data of 1162 filled-in questionnaires (response rate = 38 %). Of the respondents, 637 were women (55 %), and their mean age was 53·54 (sd 15·68) years.

Health-related variables were the most important group of predictors of label use, followed by motivating factors and sociodemographic variables. Placing importance on health, healthy eating and nutritional value of food, perceived vulnerability for diet-related diseases, nutrition knowledge, numeracy and gender were positively associated with frequency of food label use whereas shopping habits and seeing eating as something positive were negative predictors of frequency of label use.

People's health consciousness should be raised in order to increase the frequency of food label use. Furthermore, it should be stressed that reading labels and keeping a healthy diet do not contradict ‘good eating’, and that both of these aspects can be combined with the help of food labels.

To identify the information that adult consumers use on food labels, the difficulties they experience when using food labels and their reasons for not always using food labels. The relationship between their understanding of the information on the food label and their ability to make informed food choices was also investigated by means of their being required to perform labelling tasks.

A cross-sectional and descriptive research approach was followed. Data were collected by means of the administration of questionnaires.

Selected supermarkets in Potchefstroom and Klerksdorp in the North West Province, South Africa.

Questionnaires were administered to 174 consumers of African descent and Caucasians, ≥18 years of age, who were involved in purchasing household food products.

The information that is mostly used on food labels includes the expiry date, the list of ingredients and nutritional information, such as fat and cholesterol content. The difficulties associated with food labels were indicated mainly as being the font size of the print, whereas the reasons for not reading food labels were related to product attributes (‘taste and price are more important than is the nutritional content of the food product’), demographic characteristics (‘lack of education and nutritional knowledge’) and situational factors (‘experiencing time constraints’).

Results from the present study indicated that the expiry date was the most important information on a food label used by consumers. Scores from the labelling tasks showed that the respondents did not always understand how to use the information on food labels in order to make informed food choices. Barriers to consumer understanding and the use of food labels are highlighted. Improvements on current food labels in South Africa are suggested. Guidelines for consumer education regarding the use of food labels are also provided.

To assess the nutrient profile of yoghurts and dairy desserts.

Nutrition information panels and product labels on yoghurts and dairy desserts offered for sale were surveyed in 2005 and 2008 and nutrients analysed by two nutrient profiling systems.

A large supermarket in metropolitan Melbourne, Australia.

In total, 248 and 140 dairy snacks (yoghurt, fromage frais or dairy desserts) were surveyed in 2005 and 2008, respectively. Over this time, median packet size rose significantly (P ≤ 0·001). In yoghurts, median energy and total fat content also increased while protein decreased (all P < 0·05). The proportion of ‘full-fat’ products rose from 36 % to 46 %. Because of the addition of sugar, most ‘reduced-fat’ yoghurts had energy content similar to many ‘full-fat’ yoghurts. Overall, the proportion of yoghurts and dairy desserts that were ‘less healthy’ (i.e. displaying one or more ‘red traffic lights’ for high fat, saturated fat, salt and sugar content) rose from 12 % in 2005 to 23 % in 2008. Only 1–2 % could be deemed ‘healthy’ by the most stringent criterion (displaying four ‘green traffic lights’), while 21 % (2005) or 28 % (2008) were ‘healthy’ by a nutrient profiling system that included a score for protein. Sucrose, the most common sweetener, was found in levels up to 29 g/100 g. Claims on packaging mainly related to Ca, fat or protein content. Few labels referred to sugar content.

The deterioration in nutrient quality of yoghurts needs to be redressed.