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Edible flowers have traditionally been consumed for their nutritional and medicinal properties. Aponogeton distachyos is an aquatic flowering plant native to the Western Cape of South Africa (SA) that used to be a wild plant gathered during the winter months, but it is now considered to be underutilised and endangered. This study aims at gaining insights from different stakeholders into the activities across the plant value chain and their impact on the consumption of Aponogeton distachyos.

The study methodology involved the identification of different stakeholders in the plant value chain and conducting qualitative in-depth interviews during the data collection. Twelve study participants were selected via purposive sampling and interviewed using semi-structured interviews (face-to-face, telephone and online).

Nostalgic connection of the flower with local culture and heritage and its unique taste and flavour are key consumption drivers. Promotional and educational efforts by food advocates and at public events help raise consumer awareness, which is generally lacking. Limited geographic and seasonal availability, perishability, price and quality issues emerged, together with low awareness, as main barriers to more frequent and geographically spread consumption.

Although wild edible flowers have been consumed for centuries, there has been little attention to their nutritional value and journey to their final consumers. The present study identifies important challenges emanating at different stages of the food value chain to consumption of one particular neglected and underutilised plant, with certain implications for people's dietary quality, environmental sustainability and biodiversity of natural resources beyond Aponogeton distachyos and SA.

(1)Aponogeton distachyos is a neglected and underutilised aquatic flowering plant native to the Western Cape of South Africa (SA). (2)The plant offers benefits related to people's dietary quality, environmental sustainability and biodiversity of natural resources. (3)Flower's nostalgic connection with local culture and heritage emerge as a key consumption driver. (4)Its unique taste and flavour highly appeal to consumers. (5)Low awareness, limited availability, price and quality are main consumption barriers. (6)There is largely unexploited public policy potential for supporting dietary diversity through growing edible flowers.

The aim of this paper is to study attitudes and perception of Slovak consumers toward healthy food in terms of consumption, as well as to identify key factors during the purchasing process.

An online questionnaire survey was conducted using snowball sampling method in Slovakia (n = 1,138 respondents) between March and May 2021. By applying categorical principal component analysis, five latent factors were identified. Moreover, non-parametric tests (Chi-square test for independence, Kruskal–Wallis H test) were carried out to study differences between age cohorts.

Results showed that Slovak consumers mostly perceived as very healthy the following food categories: fruit, vegetables, honey, juices made of fruit and vegetables, fish meat or cereals, nuts and seeds. Moreover, research has identified five latent factors, which consumers mostly consider during purchase of healthy food as follows: price-marketing factor, information and composition factor, authenticity factor, quality factor and factor of motivation.

Research paper gives an important insight about consumer behavior and perception toward healthy food in Slovakia. Results provide valuable information for producers in terms of marketing and communication strategies. In addition, provided information can be used by policymakers for improving food policy to foster public health in the society.

Broiler meat is the most commonly used meat product worldwide. Although China is regarded as one of the three largest broiler producers, the per capita chicken consumption remains low. Consumers' cognitive bias and the information acquisition channels are believed to be the main factors contributing to this. This paper aims to discuss the aforementioned issue.

To explore the phenomenon empirically, the current study uses the survey data of 1,056 consumers from China and analyses them using ordered logistic regression.

The results revealed that consumers' cognitive bias significantly affects their behaviour toward broiler products, and the order of influence is cognitive bias regarding industry cognitive > product nutrition and taste > food safety. The study further revealed that the more diverse the information acquisition channels, the more likely they are to promote consumer behaviour toward broiler chickens. The order of influence of the channels was self-organising > new media > traditional media.

Overall, the findings suggest that the government and enterprises should strengthen and upgrade information channels to boost both the broiler industry and consumer consumption behaviour regarding poultry products.

Rather than the usual focus on the impact of consumer cognition on consumer behaviour, this study examines the impact of cognitive bias on consumer behaviour. Further, centring on broiler products with high protein, low fat and feed-to-meat ratios, this study explores the reasons the per capita consumption of broiler products in China is far lower than the national average.

This study aims to explore how sustainable business models (SBM) can be developed within agri-innovation systems (AIS) and emphasize an integration of the two with a systemic understanding for reducing food loss and value loss in postharvest agri-food supply chain.

This study conducted longitudinal qualitative research in a developing country with food loss challenges in the postharvest supply chain. This study collected data through multiple rounds of fieldwork, interviews and focus groups over four years. Thematic analysis and “sensemaking” were used for inductive data analysis to generate rich contextual knowledge by drawing upon the lived realities of the agri-food supply chain actors.

First, this study finds that the value losses are varied in the supply chain, encompassing production value, intrinsic value, extrinsic value, market value, institutional value and future food value. This happens through two cumulative effects including multiplier losses, where losses in one model cascade into others, amplifying their impact and stacking losses, where the absence of data stacks or infrastructure pools hampers the realisation of food value. Thereafter, this study proposes four strategies for moving from the loss-incurring current business model to a networked SBM for mitigating losses. This emphasises the need to redefine ownership as stewardship, enable formal and informal beneficiary identification, strengthen value addition and build capacities for empowering communities to benefit from networked SBM with AIS initiatives. Finally, this study puts forth ten propositions for future research in aligning AIS with networked SBM.

This study contributes to understanding the interplay between AIS and SBM; emphasising the integration of the two to effectively address food loss challenges in the early stages of agri-food supply chains. The identified strategies and research propositions provide implications for researchers and practitioners seeking to accelerate sustainable practices for reducing food loss and waste in agri-food supply chains.

Bioelectrical impedance vector analysis (BIVA) and phase angle (PA) have importance in assessing nutritional and prognosis, and this study hypothesized that these measurements can have a relationship with nutritional risk and outcomes. This study aims to analyze the association between Nutrition Risk in the Critically ill (NUTRIC) score and bioelectrical impedance measures with hospital mortality in critically ill patients.

A prospective, cohort study was performed with a consecutive sample of patients admitted to an intensive care unit (ICU), between January and June 2017 at a hospital university in Northwest Brazil. The NUTRIC score and the bioelectric measures, such as resistance (R), reactance (Xc), PA and BIVA, were completed within the first 24 h of admission. The Student’s t or Mann–Whitney, Pearson’s or Spearman’s coefficient and Fisher’s exact tests and BIVA were used for statistical analyses.

The sample consisted of 81, with a mean age of 57 (16.7) years, with 60.5% women. It was detected that PA and Xc were lower (p < 0.001), and age was higher (p < 0.001) in a high nutritional-risk group. It was found an association between low nutritional risk and hospital discharge (p < 0.001), and that individuals who died spent more days in the ICU (p = 0.0375), had significantly lower PA and Xc values (p = 0.043 and p = 0.0172, respectively) and higher NUTRIC scores (<0.0001). There was a displacement of the mean impedance vector in men and women with high nutritional risk (p = 0.0037 and p = 0.004, respectively).

The height measurement was estimated using predictive formulas, which may affect the accuracy of the values; BIA was performed only upon admission of the patient to the ICU and the study population was heterogeneous, as it is a general ICU.

This paper shows that, in critically ill patients, nutritional screening and the assessment of bioelectrical measures help in clinical-nutritional decisions, and were able to predict outcomes.

Explore what popular food influencers among Flemish emerging adults portray in their Instagram recipe posts in terms of (1) references to food literacy, (2) nutritional value, (3) rational and emotional appeals and (4) the relation between the nutritional value and rational/emotional appeals.

A content and nutritional analysis of Instagram recipe posts from seven food influencers (N = 166).

Findings reveal that food influencers rarely embed references to food literacy in their recipe posts, especially regarding meal planning, food selection, meal consumption and evaluating food-related information. Only in 28.9% of the posts information was given on how to prepare a recipe. Second, 220 recipes were included in the 166 recipe posts, of which the majority (65%) were main course meals that met at least six of the 11 nutrient criteria for a healthy main meal (67.2%). Finally, food influencers promote their recipe posts as positive narratives, focusing on the tastiness (66%) and convenience (40.9%) of meals.

This is the first study to evaluate what food influencers post nutritionally in their Instagram recipes, as well as how they promote these recipes. Health promotors should note the influential role of food influencers and seek ways to collaborate to provide information on how food literacy cues can be embedded in influencers' communications and provide insights into how influencers' recipes can be optimised.

This study aims to examine the relationship between neutrophil to lymphocyte ratio (NLR), handgrip strength (HGS) and nutritional status in non-critically ill patients and outpatients.

A cross-sectional study was conducted on 80 geriatric patients. Nutritional status was evaluated using the Mini Nutritional Assessment Short Form, Geriatric Nutritional Risk Index, some anthropometric and biochemical parameters. NLR was calculated from the complete blood count results. Data were analyzed using SPSS 24.0.

While 38.3% of patients were malnourished or at risk of malnutrition, 61.7% had normal nutritional status. Mini Nutritional Assessment Short Form was not correlated with NLR, whereas it showed a weak positive correlation with HGS. According to the logistic regression analysis, age, HGS, hemoglobin and platelet to lymphocyte ratio were significant independent factors for predicting malnutrition or risk of malnutrition. The receiver operator characteristic curve analysis showed that the optimum HGS cut-off point for patients with malnourished or at risk of malnutrition was 13.2. In conclusion, HGS was associated with the nutritional status. NLR was not associated with nutritional status but associated with nutritional risk.

It is well known that malnutrition is a serious health problem among older adults, and it is important to assess the nutritional status of older adults because of the adverse health effects. In addition, to the best of the authors’ knowledge, this is the first study to determine the relationship between NLR, HGS and nutritional status in non-critically ill patients and outpatients.

The purpose of this study is to assess the impact of rising food prices on food demand and nutrient intake among rural–urban migrants and whether such impact varies across income classes.

Using data from the China Health and Nutrition Survey (CHNS), this study adopts a quadratic almost ideal demand system (QUAIDS) for food demand elasticity and an indirect estimation method for nutrient elasticity to investigate the effects of rising food prices on food demand and nutrient intake among rural–urban migrants.

The estimated results indicate that an increase in the price of pork alone would lead to a larger reduction in most nutrients among rural–urban migrants than other single targeted food group, and a simultaneous rise in the price of all food groups would have a remarkably adverse effect on the nutritional status of rural–urban migrants in comparison to the nutritional effects of a rise in one targeted food group. In addition, the nutritional effects of food prices across income classes show that the nutritional status is particularly vulnerable to rising food prices among low-income rural–urban migrants.

This paper focuses on analyzing the impact of rising food prices on the nutritional status of rural–urban migrants, a topic that is very limited in the literature. This study provides a fresh look at the effect of volatile food prices on food demand and nutrient intake among rural–urban migrants. The results indicate that income growth would have a remarkable positive effect on nutrient intake for rural–urban migrants, especially for low-income rural–urban migrants. However, an increment in nutrients due to a growth in income would not be far from enough to cover the reduction in nutrients as a result of a simultaneous rise in price of all the studied food categories at the same rate.

This study aims to assess nutrition knowledge (NK) and willingness to seek nutritional counseling (WSNC) and their predictors among university students in Lebanon.

A cross-sectional design was used to enroll students from two large private universities in Lebanon. Data were collected by a standardized questionnaire. NK scores on general and specific nutrition areas were computed. The predictors of NK and WSNC were determined by multivariable logistic regression analyses.

A total of 370 students were included, among which 68% had good general nutritional knowledge, which appears to be associated with being a pharmacy student (adjusted OR (aOR) = 4.26 [95% confidence interval (CI) 1.55; 11.7]), and having a dietitian as a reference for nutritional information (aOR = 8.84 [95% CI 1.94; 40.3]). However, 64% of participants had a high specific nutritional knowledge score, which was related to either attending a school of arts and sciences or being a pharmacy student (aOR = 10.8 [95% CI 4.08; 28.5]). Most students (80%) had the will to seek nutritional counseling, which was positively associated with being a female (aOR = 2.01 [95% CI 1.10; 3.67]) and a pharmacy student (aOR = 2.62 [95% CI 1.15; 5.95]). The general nutritional knowledge score was significantly associated with the WSNC (aOR = 2.10 [95% CI 1.04; 4.25]).

Higher nutritional knowledge and WSNC were found among students enrolled in health-related fields. These results underline how important nutrition education is as a strategy for inspiring college students to adopt healthy lifestyles.

This study aims to examine consumers' purchasing and consumption behavior regarding big data embedded in packaged food post-Covid-19. The second purpose is to determine whether consumer purchasing behavior varies depending on the variety and volume of big data on food packages.

Semi-structured interviews were conducted to investigate consumer sentiment regarding big embedded data in packaged foods during purchasing. Based on samples from packaged foods sold in international chain stores, interview data collected from 24 participants were subjected to systematic analytical procedures.

The results revealed that before Covid-19, consumers had positive thoughts about the expiration date, brand, and product contents but did not care much about other data. At the same time, post-Covid-19, there were changes in their attitudes and behaviors on this issue. Post-Covid-19, it has been observed that consumers have positive attitudes and behaviors toward human health and food safety issues regarding unprocessed big data in packaged foods.

This study provides a different perspective on consumer purchasing behavior through big data on packaged foods post-Covid-19. Embedded information in packaged foods provides important data regarding consumer purchasing behavior. As a powerful source of consumer sentiment, this data also provides a reference for consumer purchasing decisions.