Explore the vast range of titles available.

This systematic review aimed to summarise the level of quality and accuracy of nutrition-related information on websites and social media and determine if quality and accuracy varied between websites and social media or publishers of information. This systematic review was registered with PROSPERO (CRD42021224277). CINAHL, MEDLINE, Embase, Global Health and Academic Search Complete were systematically searched on 15 January 2021 to identify content analysis studies, published in English after 1989, that evaluated the quality and/or accuracy of nutrition-related information published on websites or social media. A coding framework was used to classify studies' findings about information quality and/or accuracy as poor, good, moderate or varied. The Academy of Nutrition and Dietetics Quality Criteria Checklist was used to assess the risk of bias. N/A. N/A. From 10 482 articles retrieved, sixty-four were included. Most studies evaluated information from websites ( 53, 82·8 %). Similar numbers of studies assessed quality ( 41, 64·1 %) and accuracy ( 47, 73·4 %). Almost half of the studies reported that quality ( 20, 48·8 %) or accuracy ( 23, 48·9 %) was low. Quality and accuracy of information were similar on social media and websites, however, varied between information publishers. High risk of bias in sample selection and quality or accuracy evaluations was a common limitation. Online nutrition-related information is often inaccurate and of low quality. Consumers seeking information online are at risk of being misinformed. More action is needed to improve the public's eHealth and media literacy and the reliability of online nutrition-related information.

To test the effect of news media exposure to contradictory information about carbohydrates and dietary fats on levels of confusion, nutritional backlash and dietary intentions. We conducted an online survey experiment between 11 and 28 February 2018, randomizing participants to one of six experimental conditions. Two 'contradictory information' conditions asked participants to read one news article on the risks of a low-carbohydrate diet and one article on the risks of a low-fat diet. Two 'convergent information' conditions asked participants to read two articles with similar information on the risks of one of these two diets. A fifth 'established health recommendations' control condition asked participants to read two articles on the harms of smoking and sun exposure. A sixth 'no information' condition served as a second control group. We used general linear models to test hypotheses on the effects of exposure on confusion, nutritional backlash and dietary intentions. USA. Adults (n 901) registered with Amazon's Mechanical Turk (M-Turk). Exposure to contradictory information about carbohydrates and dietary fats increased confusion and nutritional backlash compared with exposure to established health recommendations for non-dietary behaviours and a no-exposure control. Exposure to contradictory information also increased confusion compared with exposure to consistent nutrition information regarding carbohydrates and dietary fats. Contradictory nutrition information in the news media can negatively affect consumers' attitudes, beliefs and behavioural intentions. Dietary debates that play out in the media may adversely influence both short-term dietary decisions and future efforts to communicate about unrelated nutrition issues.

Nutrition messages are a central part of policy making as well as communication via product information, advertising, healthcare advice and lifestyle campaigns. However, with amplified information (and misinformation) from a growing number of sources, inconsistent and conflicting food landscapes, and limited engagement from the public, nutrition messaging tensions have become more accentuated than previously. In this review, we focus on the challenges facing those wishing to effect dietary change through communication; and identify opportunities and future research questions . Beginning with a new working definition and taxonomy for the term ‘nutrition message’, we consider the evolution of public health nutrition messages from the past century and discuss which types of messages may be more effective. We then turn to the challenges of implementation and highlight specific barriers to recipients' understanding and change. While the evidence has many gaps and there is a need for systematic evaluation of nutrition messages, research indicates that recipients are more likely to act on fewer messages that provide clear benefits and which resonate with their perceived health needs, and which are relatively straightforward to implement. Effectiveness may be improved through consideration of how nutrition messages can be designed to complement key non-health drivers of food choice (taste, cost) and societal/cultural norms. Consistency can be achieved by aligning the wider food and messaging environment to desired public health actions; that is by ensuring that retail settings provide and signpost healthier choices, and that mass media nutrition messages work with, not against, public health advice.

Warnings have recently been proposed as a new type of directive front-of-pack (FOP) nutrition labelling scheme to flag products with high content of key nutrients. In the present work, this system was compared with the two most common FOP nutrition labelling schemes (Guideline Daily Amounts (GDA) and traffic-light system) in terms of goal-directed attention, influence on perceived healthfulness and ability to differentiate between products. Design/Setting/Subjects Goal-directed attention to FOP labels was evaluated using a visual search task in which participants were presented with labels on a computer screen and were asked to indicate whether labels with high sodium content were present or absent. A survey with 387 participants was also carried out, in which the influence of FOP labels on perceived healthfulness and ability to identify the healthful alternative were evaluated. Warnings improved consumers' ability to correctly identify a product with high content of a key nutrient within a set of labels compared with GDA and received the highest goal-directed attention. In addition, products with high energy, saturated fat, sugar and/or sodium content that featured warnings on the label were perceived as less healthful than those featuring the GDA or traffic-light system. Warnings and the traffic-light system performed equally well in the identification of the most healthful product. Results from the present work suggest that warnings have potential as directive FOP nutrition labels to improve consumer ability to identify unhealthful products and highlight advantages compared with the traffic-light system.

Our understanding of the nutrient contribution of fish and other aquatic species to human diets relies on nutrient composition data for a limited number of species. Yet particularly for nutritionally vulnerable aquatic food consumers, consumption includes a wide diversity of species whose nutrient composition data are disparate, poorly compiled or unknown. To address the gap in understanding fish and other aquatic species' nutrient composition data, we reviewed the literature with an emphasis on species of fish that are under-represented in global databases. We reviewed 164 articles containing 1370 entries of all available nutrient composition data (e.g. macronutrients, micronutrients and fatty acids) and heavy metals (e.g. Pb and Hg) for 515 species, including both inland and marine species of fish, as well as other aquatic species (e.g. crustaceans, molluscs, etc.) when those species were returned by our searches. We highlight aquatic species that are particularly high in nutrients of global importance, including Fe, Zn, Ca, vitamin A and docosahexaenoic acid (DHA), and demonstrate that, in many cases, a serving can fill critical nutrient needs for pregnant and lactating women and young children. By collating the available nutrient composition data on species of fish and other aquatic species, we provide a resource for fisheries and nutrition researchers, experts and practitioners to better understand these critical species and include them in fishery management as well as food-based programmes and policies.

Excess meat consumption, particularly of red and processed meats, is associated with nutritional and environmental health harms. While only a small portion of the population is vegetarian, surveys suggest many Americans may be reducing their meat consumption. To inform education campaigns, more information is needed about attitudes, perceptions, behaviours and foods eaten in meatless meals. A web-based survey administered in April 2015 assessed meat reduction behaviours, attitudes, what respondents ate in meatless meals and sociodemographic characteristics. Nationally representative, web-based survey in the USA. US adults (n 1112) selected from GfK Knowledgeworks' 50 000-member online panel. Survey weights were used to assure representativeness. Two-thirds reported reducing meat consumption in at least one category over three years, with reductions of red and processed meat most frequent. The most common reasons for reduction were cost and health; environment and animal welfare lagged. Non-meat reducers commonly agreed with statements suggesting that meat was healthy and 'belonged' in the diet. Vegetables were most often consumed 'always' in meatless meals, but cheese/dairy was also common. Reported meat reduction was most common among those aged 45-59 years and among those with lower incomes. The public and environmental health benefits of reducing meat consumption create a need for campaigns to raise awareness and contribute to motivation for change. These findings provide rich information to guide intervention development, both for the USA and other high-income countries that consume meat in high quantities.

Background Social media is a popular source of information about food and nutrition. There is a high degree of inaccurate and poor-quality nutrition-related information present online. The aim of this study was to evaluate the quality and accuracy of nutrition-related information posted by popular Australian Instagram accounts and examine trends in quality and accuracy based on author, topic, post engagement, account verification and number of followers. Methods A sample of posts by Australian Instagram accounts with ≥ 100,000 followers who primarily posted about nutrition was collected between September 2020 and September 2021. Posts containing nutrition-related information were evaluated to determine the quality and accuracy of the information. Quality was assessed using the Principles for Health-Related Information on Social Media tool and accuracy was assessed against information contained in the Australian Dietary Guidelines, Practice-based Evidence in Nutrition database, Nutrient Reference Values and Metafact. Results A total of 676 posts were evaluated for quality and 510 posts for accuracy, originating from 47 Instagram accounts. Overall, 34.8% of posts were classified as being of poor quality, 59.2% mediocre, 6.1% good and no posts were of excellent quality. A total of 44.7% of posts contained inaccuracies. Posts authored by nutritionists or dietitians were associated with higher quality scores (β, 17.8, CI 13.94–21.65; P  < 0.001) and higher accuracy scores (OR 4.69, CI 1.81–12.14, P  = 0.001) compared to brands and other accounts. Information about supplements was of lower accuracy (OR 0.23, CI 0.10–0.51, P  < 0.001) compared to information about weight loss and other nutrition topics. Engagement tended to be higher for posts of lower quality (β -0.59, P  = 0.012), as did engagement rate (β -0.57, P  = 0.016). There was no relationship between followers or account verification and information quality or accuracy and no relationship between engagement and accuracy. Conclusions Nutrition-related information published by influential Australian Instagram accounts is often inaccurate and of suboptimal quality. Information about supplements and posts by brand accounts is of the lowest quality and accuracy and information posted by nutritionists and dietitians is of a higher standard. Instagram users are at risk of being misinformed when engaging with Australian Instagram content for information about nutrition.

To objectively evaluate voluntary nutrition and health claims and marketing techniques present on packaging of high-market-share ultra-processed foods (UPF) in Australia for their potential impact on public health. Cross-sectional. Packaging information from five high-market-share food manufacturers and one retailer were obtained from supermarket and manufacturers' websites. Ingredients lists for 215 UPF were examined for presence of added sugar. Packaging information was categorised using a taxonomy of nutrition and health information which included nutrition and health claims and five common food marketing techniques. Compliance of statements and claims with the Australia New Zealand Food Standards Code and with Health Star Ratings (HSR) were assessed for all products. Almost all UPF (95 %) contained added sugars described in thirty-four different ways; 55 % of UPF displayed a HSR; 56 % had nutrition claims (18 % were compliant with regulations); 25 % had health claims (79 % were compliant); and 97 % employed common food marketing techniques. Packaging of 47 % of UPF was designed to appeal to children. UPF carried a mean of 1·5 health and nutrition claims (range 0-10) and 2·6 marketing techniques (range 0-5), and 45 % had HSR≤3·0/5·0. Most UPF packaging featured nutrition and health statements or claims despite the high prevalence of added sugars and moderate HSR. The degree of inappropriate or inaccurate statements and claims present is concerning, particularly on packaging designed to appeal to children. Public policies to assist parents to select healthy family foods should address the quality and accuracy of information provided on UPF packaging.

To derive healthy and sustainable food-based dietary guidelines (FBDG) for different target groups in the Netherlands and describe the process. Optimised dietary patterns for children, adolescents, adults and the elderly were calculated using an optimisation model. Foods high in saturated and trans-fatty acids, salt and sugar, and low in dietary fibre, were excluded. The dietary patterns resembled the current food consumption as closely as possible, while simultaneously meeting recommendations for food groups, nutrients, maximum limits for foods with a high environmental impact, and within 85 % of the energy requirement. Recommended daily amounts of food groups were based on the optimised dietary patterns and expert judgement. The Netherlands. FBDG were derived for Dutch people with different ages, genders, activity levels and food preferences. For most target groups the optimisation model provided dietary patterns that complied with all requirements. For some food groups, the optimised amounts varied largely between target groups. For consistent messages to consumers, the optimised dietary patterns were adjusted to uniform recommendations per target group. Recommendations were visualised in the Wheel of Five. The advice is to eat the recommended amounts of foods according to the Wheel of Five and limit consumption of other foods. Based on an optimisation model, scientific evidence, information on dietary patterns and expert knowledge, we derived FBDG for different target groups. The Wheel of Five is a key food-counselling model that can help Dutch consumers to make their diets healthier and more environmentally sustainable.

Objective:To (1) explore and analyse current online preconception health and nutrition-related claims, (2) assess identified online preconception health claims against current preconception guidelines and (3) understand the perceived health claims among reproductive-aged men and women.Setting:Five online media platforms were searched using fertility nutrition-related search terms.Participants:All claims were assessed by an expert panel against nine Australian and International preconception guidelines. A sample of eighty reproductive-aged men and women rated a random sample of claims.Design:A content analysis of 191 claims was conducted using NVivo 12 Plus to group recurring topics into themes and then categories. Survey participants rated forty claims using a 5-point Likert scale from ‘Not at all likely’ to ‘Highly likely’. If at least 75 % of the surveyed population considered a claim ‘likely’ or ‘unlikely’, it was classified as such.Results:Two themes were generated: nutrition claims and lifestyle claims. Five percent of claims were present in preconception guidelines, while 54 % had no evidence to support the claim. The highest percentage of no evidence claims was for whole foods and their components and dietary patterns. TikTok and Instagram contained the highest proportion of non-evidence-based claims. The community considered 3/40 claims likely to be true and 3/40 claims unlikely to be true.Conclusions:There is a myriad of inaccurate information online related to fertility nutrition and lifestyle behaviours. Social media public health campaigns to disseminate quality evidence for preconception health are necessary to improve awareness among those who access online information.