Knowledge, attitude and behaviours towards food sustainability in a group of Italian consumers. A cross-sectional study.

Sustainability is crucial for transforming the food system, addressing environmental and nutrition issues and depends on consumer perceptions and values. This cross-sectional study investigates the relationship between sustainability attitudes, knowledge, and eating behaviours. Nearly half reported high level of knowledge regarding food sustainability while 24% expressed high attitude towards food sustainability. Women reported higher levels of knowledge and attitude towards food sustainability. Logistic regression analyses, adjusted for age, sex, and education, revealed that using public transport, biking, or walking was significantly associated with higher odds of having a more positive overall attitude towards food sustainability (OR = 1.77). The overall knowledge score was a strong predictor of a positive overall attitude score (OR = 2.11). Examining individual knowledge-related items, almost all were associated with higher levels of knowledge, except those regarding food and environment interaction. These findings underline a complex scenario where consumers' awareness and knowledge highly influence the applicability of sustainable food choices.

Fresh bell peppers consumed in cities: Unveiling the environmental impact of urban and rural food supply systems.

Agriculture and its supply chain pose significant environmental threats. This study employs Life Cycle Assessment (LCA) to explore the environmental impact of fresh bell pepper production and distribution, comparing Urban and Peri-Urban Agriculture (UPA) with Rural Long-Distance Food Supply Systems (RLDFS). Four UPA scenarios (hydroponics, soil-based greenhouse, open-field conventional, and organic) and two RLDFS scenarios (soil-based greenhouse and open-field conventional) are evaluated using SimaPro, incorporating inputs from UPA practitioners and rural farmers. Results reveal an energy demand range of 0.011 to 5.5 kWh/kg eq., with urban greenhouses exhibiting the lowest consumption and hydroponics the highest due to lighting, ventilation, and irrigation. Hydroponics exhibits a global warming potential of 7.24 kg of CO2 eq·kg-1, with energy demand contributing over 95 %, surpassing other scenarios by 7-25 times, necessitating reduction for sustainability. RLDFS's environmental impact is dominated by transportation (over 70 %), meanwhile other UPA systems are influenced by irrigation, infrastructure, and fertilizers. Despite challenges, UPA-hydroponics proves to be 1.7 to 4.3 times more land-use-efficient than other scenarios, emphasizing its potential. The study highlights the need to address electricity usage in UPA-hydroponics for carbon footprint reduction. Despite challenges, hydroponics could contribute to sustainable food security, and RLDFS does not significantly lag in environmental performance compared to UPA other than Ozone layer depletion criteria attributed to fossil fuel usage in transportation. These insights offer valuable guidance for urban development and policy formulation, promoting sustainable agricultural practices and supporting policies for agronomic and supply chain sustainability.

Wasted Food, Wasted Resources? A Critical Review of Environmental Impact Analysis of Food Loss and Waste Generation and Treatment.

Food loss and waste (FLW) comes with significant environmental impacts and thus prevents a sustainable food system transition. Here we conducted a systematic review of 174 screened studies that assessed the environmental impacts of FLW generation and treatment. We found that the embodied impacts of FLW along the supply chain and impacts from FLW treatment received equal attention, but few studies have included both. The reviewed studies show narrow geographical (mostly conducted in industrialized countries) and food supply chain (mostly focused on the consumption stage) coverage. Life cycle analysis (LCA), material flow analysis (MFA), or their combination are the most commonly used to quantify FLW related environmental impacts. More method standardization, integration, and innovation and better FLW data with regional and stage resolution from a first-hand source are badly needed. Among the various proposed mitigation strategies covering technology, economy, behavior, and policy aspects, process optimization and waste management options are the most discussed. Our review calls for a more holistic environmental impact assessment of FLW generation and treatment and analysis of the trade-offs among different environmental impact categories and between supply chain stages, which would better inform relevant policy on effective environmental impact mitigation strategies toward sustainable food systems.

Carbon footprint of synthetic nitrogen under staple crops: A first cradle-to-grave analysis.

More than half of the world's population is nourished by crops fertilized with synthetic nitrogen (N) fertilizers. However, N fertilization is a major source of anthropogenic emissions, augmenting the carbon footprint (CF). To date, no global quantification of the CF induced by N fertilization of the main grain crops has been performed, and quantifications at the national scale have neglected the CO2 assimilated by plants. A first cradle-to-grave life cycle assessment was performed to quantify the CF of the N fertilizers' production, transportation, and application to the field and the uses of the produced biomass in livestock feed and human food, as well as biofuel production. We quantified the direct and indirect inventories emitted or sequestered by N fertilization of main grain crops: wheat, maize, and rice. Grain food produced with N fertilization had a net CF of 7.4 Gt CO2eq. in 2019 after excluding the assimilated C in plant biomass, which accounted for a quarter of the total CF. The cradle (fertilizer production and transportation), gate (fertilizer application, and soil and plant systems), and grave (feed, food, biofuel, and losses) stages contributed to the CF by 2%, 11%, and 87%, respectively. Although Asia was the top grain producer, North America contributed 38% of the CF due to the greatest CF of the grave stage (2.5 Gt CO2eq.). The CF of grain crops will increase to 21.2 Gt CO2eq. in 2100, driven by the rise in N fertilization to meet the growing food demand without actions to stop the decline in N use efficiency. To meet the targets of climate change, we introduced an ambitious mitigation strategy, including the improvement of N agronomic efficiency (6% average target for the three crops) and manufacturing technology, reducing food losses, and global conversion to healthy diets, whereby the CF can be reduced to 5.6 Gt CO2eq. in 2100.

Avenues of decarbonisation in the dynamics of processed food supply chains: Towards responsible production consumption.

Nowadays, the demand for processed food items is surging. To fulfil the enhanced demand, a significant impact is laid on the environment, which enhances the carbon footprint being generated. Hence, to overcome this, the avenues of decarbonisation need to be explored. The presented work is aimed at promoting the decarbonisation of the existing practices within the processed food supply chains. It finds strong compliance with the sustainable development goal (SDG-12), focusing on responsible production-consumption mechanisms. For the same, key enactors of decarbonisation are identified and mapped with the practices at various stages of food supply chains, i.e. upstream, downstream, and other allied practices. Based upon these enactors, a relational, hierarchical framework is developed to provide a comprehensive perspective on complex intricacies. This framework is analysed with an innovative approach which comprises the fundamentals of Interval-Valued Intuitionistic Hesitant Fuzzy Set with the Entropy measures. It results in the outranking of the enactors relative to its importance in the decarbonisation of processed food supply chains. Furthermore, the empirical findings are validated by the sensitivity analysis to felicitate robust decision-making. The outcomes of the presented work provide a roadmap and stepped approach to achieve the decarbonisation goals and make production-consumption mechanisms sustainable. It finds implications in the development of the framework, policy formulation, and decisional attributes for the decarbonisation of food supply chains. It focuses on the adoption of strategies that align with global efforts to mitigate climate change and promote a sustainable future.

Assessing the vulnerability of food supply chains to climate change-induced disruptions.

Climate change is one of the most significant challenges worldwide. There is strong evidence from research that climate change will impact several food chain-related elements such as agricultural output, incomes, prices, food access, food quality, and food safety. This scoping review seeks to outline the state of knowledge of the food supply chain's vulnerability to climate change and to identify existing literature that may guide future research, policy, and decision-making aimed at enhancing the resilience of the food supply chain. A total of 1526 publications were identified using the SCOPUS database, of which 67 were selected for the present study. The vulnerability assessment methods as well as the adaptation and resilience measures that have been employed to alleviate the impact of climate change in the food supply chain were discussed. The results revealed a growing number of publications providing evidence of the weakening of the food supply chain due to climate change and extreme weather events. Our assessment demonstrated the need to broaden research into the entire food supply chain and various forms of climatic variability because most studies have concentrated on the relationships between climatic fluctuations (especially extreme rainfall, temperatures, and drought) and production. A lack of knowledge about the effects of climate change on the food supply chain and the underlying socio-economic consequences could result in underperformance or failure of the food supply chain.

Strategies for Traceability to Prevent Unauthorised GMOs (Including NGTs) in the EU: State of the Art and Possible Alternative Approaches.

The EU's regulatory framework for genetically modified organisms (GMOs) was developed for "classical" transgenic GMOs, yet advancements in so-called "new genomic techniques (NGTs)" have led to implementation challenges regarding detection and identification. As traceability can complement detection and identification strategies, improvements to the existing traceability strategy for GMOs are investigated in this study. Our results are based on a comprehensive analysis of existing traceability systems for globally traded agricultural products, with a focus on soy. Alternative traceability strategies in other sectors were also analysed. One focus was on traceability strategies for products with characteristics for which there are no analytical verification methods. Examples include imports of "conflict minerals" into the EU. The so-called EU Conflict Minerals Regulation requires importers of certain raw materials to carry out due diligence in the supply chain. Due diligence regulations, such as the EU's Conflict Minerals Regulation, can legally oblige companies to take responsibility for certain risks in their supply chains. They can also require the importer to prove the regional origin of imported goods. The insights from those alternative traceability systems are transferred to products that might contain GMOs. When applied to the issue of GMOs, we propose reversing the burden of proof: All companies importing agricultural commodities must endeavour to identify risks of unauthorised GMOs (including NGTs) in their supply chain and, where appropriate, take measures to minimise the risk to raw material imports. The publication concludes that traceability is a means to an end and serves as a prerequisite for due diligence in order to minimise the risk of GMO contamination in supply chains. The exemplary transfer of due diligence to a company in the food industry illustrates the potential benefits of mandatory due diligence, particularly for stakeholders actively managing non-GMO supply chains.

In Vitro Digestibility Assessment of Whey from Goat and Camel Milk Fermented with Lactobacillus helveticus for Use as a Base in Formulating Follow-On Formula.

Follow-on formulas are necessary for newborns that are unable to breastfeed. Thus, the development of formulas more tailored to infants' needs is highly important. Recently, using camel milk, goat milk, and sweet milk whey in the formulation of follow-on formulas has gained researchers' attention. Moreover, developing postbiotic systems to create formulas that mimic human milk, are easy to digest, improve compatibility with an infant's gut, and boost immunity is crucial. Thus, this study aimed to create and assess different formulations using fermented whey from camel and goat milks. The fermentation process involved the use of Lactobacillus helveticus as a probiotic and proteolytic lactic acid bacterium strain. The study monitored the proteolytic activity and antioxidant properties of sweet whey produced from cow, camel, and goat milks during the fermentation process with L. helveticus. Also, three different milk fat blends were recombined using edible vegetable oils (coconut oil, rice bran oil, and canola oil) and then they were used to formulate follow-on formulas with a similar fat composition to human milk. Finally, the prepared formulas were tested for their in vitro digestibility and antioxidant activity before and after digestion. The L. helveticus strain had high proteolytic activity towards whey proteins from all the types of milk used in the study. A fermentation time of 6 h produced a higher proteolytic degree and antioxidant activity than 2 and 4 h of fermentation. No significant differences were observed for proteolytic degree and antioxidant activity between 6 and 12 h of fermentation for the cow, camel, and goat whey samples. Regarding the fat blends, animal milk fat, rice bran oil, and canola oil in a fat combination were essential to provide the required amount of unsaturated fatty acids in the follow-on formulas, especially the linoleic acid-α-linolenic acid (LA:ALA) ratio. Adding coconut oil in small amounts to the follow-on formulas provided the required amounts of saturated fatty acids, especially lauric and meristic acids. The follow-on formula based on cow or goat milk whey fermented with L. helveticus released more free amino acids (mmol tyrosine equivalent mL-1) with high levels of antioxidants compared to unfermented ones. The release of free amino acids in the follow-on formula based on camel milk whey was not affected by fermentation. Our results recommend using L. helveticus in the fermentation of follow-on formulas based on camel and goat whey instead of formulas based on cow milk proteins.

Deficiencia de ferritina en gestantes colombianas y factores sociodemográficos asociados / Ferritin deficiency in colombian pregnant women and associated sociodemographic factors / Deficiencia de ferritina en gestantes colombianas y factores sociodemográficos asociados

Objetivo: la ferritina es importante en el almacenamiento de hierro intracelular, en una forma soluble no tóxica. Sus niveles en la gestación se la relacionan con la salud de la madre y con su descendencia. El objetivo es escribir los niveles séricos de ferritina y prevalencia de déficit de ferritina, así como los factores sociodemográficos asociados en gestantes de Colombia. Metodología: estudio transversal; análisis secundario de la Encuesta de Situación Nutricional de Colombia, 2015. Se evaluaron en 1.234 embarazadas con edades entre 12 y 48 años: sus características sociodemográficas y antropométricas, la distribución de los niveles séricos y la prevalencia de déficit de ferritina. Para estimar la asociación entre las diferentes variables sociodemográficas y los niveles séricos, o la prevalencia de déficit de ferritina, se utilizaron modelos de regresión multivariables. Resultados: la prevalencia de deficiencia de ferritina fue de 44.5 % (IC 95 % 40.1 % a 49.0 %), los niveles séricos de ferritina oscilaron entre 4 µg/L y 295,7 µg/L, con un promedio de 29.3 µg/L (IC 95 % 26,5 µg/L-32.2 µg/L). Las gestantes del segundo (OR (OR 2.19 IC 95 % 1.50 a 3.19) y tercer trimestre (OR 3.84 IC 95 % 2.68 a 5.50), aquellas que residen en la región Atlántica (OR 2.18 IC 95 % 1.25 a 3.82) y en la región Orinoquia (OR 2.41 IC 95 %1.19 a 4.88), mostraron asociación con el déficit de ferritina. Conclusión: se halló alta prevalencia en el déficit de ferritina en gestantes colombianas.

Introduction: Ferritin is important in the storage of intracellular iron, in a non-toxic soluble form. Its levels during pregnancy are related to the health of the mother and her offspring. Objective: To describe the serum ferritin levels and the prevalence of ferritin deficiency, and the associated sociodemographic factors in pregnant women in Colombia. Methodology: Cross-sectional study; secondary analysis of the Nutritional Situation Survey of Colombia, 2015. The following were evaluated in 1,234 pregnant women aged between 12 and 48 years: their sociodemographic and anthropometric characteristics, the distribution of serum levels, and the prevalence of ferritin deficiency. To estimate the association between the different sociodemographic variables and serum levels, or the prevalence of ferritin deficiency, multivariate regression models were used. Results: The prevalence of ferritin deficiency was 44.5% (95% CI 40.1% to 49.0%), serum ferritin levels ranged from 4 µg/L to 295.7 µg/L, with a average of 29.3 µg/L (95% CI 26.5 µg/L - 32.2 µg/L). Pregnant women in the second (OR (OR 2.19 95% CI 1.50 to 3.19) and third trimester (OR 3.84 95% CI 2.68 to 5.50), those residing in the Atlantic region ( OR 2.18 95% CI 1.25 to 3.82) and in the Orinoquia region (OR 2.41 95% CI 1.19 to 4.88), showed an association with ferritin deficiency. Conclusion: A high prevalence of ferritin deficiency was found in Colombian pregnant women.

Lesson learned from COVID-19 pandemic for the future of food industry.

With WHO announcing COVID-19 no longer as a public health emergency of international concern (PHEIC) on May 5, 2023, coupled with the fact that the majority of the countries of the world have dropped strict city lockdown or border closure, this perhaps signals the end of the COVID-19 crisis caused by the SARS-CoV-2 virus. However, the COVID-19 pandemic has resulted in far-reaching effects affecting nearly every aspect of our lives and society. Notably, the food industry including agriculture, food manufacturers, food logistics, distributors and retailers have all felt the profound impact and had experienced significant stress during the pandemic. Therefore, it is essential to retrospect the lessons that can be learned from this pandemic for the food industry. This short review aims to address the food safety issues related to the COVID-19 pandemic by focusing on its foodborne transmission potential, innovations of virus detection strategies suitable for food industry; development of phathogenicaidal methods and devices to inactivate SARS-CoV-2 virus (particularly in industrial scale); and the set-up of related food regulations and guidelines as preventive and control measures for preventing the spread of SARS-CoV-2 virus through the food supply chain during the pandemic. This article may provide useful references for the food industry to minimize the food safety impact of COVID-19 (as well as other respiratory virus) and allows them to better prepare for similar future challenges.

Feed-food and land use competition of lowland and mountain dairy cow farms.

Dairy cows and other ruminants contribute to human nutrition as they are able to convert feed components containing human inedible fibre concentrations (e.g. roughage and by-products from the food processing industry) into valuable animal-sourced food. A number of crops often fed to dairy cows (e.g. soy or cereals) are however potentially edible by humans too. Additionally, land used to grow dairy cattle feed may compete with crop production for human consumption. Two different methods to assess the competition between feed consumption of dairy cows and human food supply were thus refined and tested on 25 Swiss dairy farms. With respect to the potential human edibility of the feeds used in dairy production, the human-edible feed conversion ratio (eFCR) was applied. The land use ratio (LUR) was used to relate the food production potential, per area of land utilised, with the dairy production output. Low to medium eFCR, with values ranging from 0.02 to 0.68 were found, as an average proportion of 0.74 of total DM intake consisted of roughage. In contrast, we found relatively high LUR (0.69-5.93) for most farms. If the land area used to produce feed for cows was used for crop production (applying a crop rotation), 23 of the 25 farms could have produced more edible protein and all farms more human-edible energy. Indicator values strongly depend on the underlying scenarios, such as the human-edible proportion of feeds or the suitability of land and climate for crop production. Reducing the amount of human-edible feeds in dairy farming by feeding by-products from the food processing industry and improving forage quality may be suitable strategies to reduce eFCR, but relying on low-opportunity cost feeds may restrict milk performance level per cow. On farm level, improving overall efficiency and therefore using less land (especially area suitable for crop production) per kg product decreases LUR. However, the most promising strategy to mitigate land use competition may be to localise dairy production to land areas not suitable for crop production. Both methods (eFCR and LUR) should be used in parallel. They offer an opportunity to holistically evaluate the net contribution of dairy production to the human food supply under different environmental conditions and stress the importance of production systems well suited to specific farm site characteristics.

Store-specific grocery shopping patterns and their association with objective and perceived retail food environments.

OBJECTIVE: To explore store-specific grocery shopping patterns and assess associations with the objective and perceived retail food environment (RFE). DESIGN: This cross-sectional study used principal component analysis and hierarchical cluster analysis to identify grocery shopping patterns and logistic regression models to assess their associations with the RFE, while adjusting for household characteristics. SETTING: The Montpellier Metropolitan Area, France. PARTICIPANTS: To be eligible for inclusion, participants had to be 18 years of age or older and reside in the Montpellier Metropolitan Area. Analyses were carried out on 415 households. RESULTS: Households of cluster 'Supermarket' (49 % of households) primarily shopped at supermarkets and were less likely to live near a convenience store. Households of cluster 'Diversified' (18 %) shopped mostly at organic stores, at markets, at specialised stores, and from producers and were more likely to have a market in their activity space. Households of cluster 'Discount' (12 %) primarily shopped at discounters and were less likely to perceive a producer in their activity space. Households of cluster 'Convenience' (12 %) mostly shopped online or in convenience stores. Finally, households of cluster 'Specialized' (9 %) had high expenditures in greengrocers and in other specialised food stores and were more likely to live near a specialised food store. CONCLUSIONS: This study highlighted the importance of considering both perceived and objective RFE indicators, as well as assessments around the home and in activity space. Understanding how people buy food and interact with their RFE is crucial for policymakers seeking to improve urban food policies.

Food consumption profile of rural riverside populations.

INTRODUCTION: The uniqueness of the way of life of rural riverside populations is of interest because they are the largest traditional Amazonian population. Their eating habits reveal their life conditions and relationship with the urban environment and is a poorly investigated subject. This research aimed to describe and analyze the food consumption of Amazonian riverside populations based on the food types consumed and reported by the families. METHODS: A cross-sectional study was carried out on the rural riverside population occupying part of the riverbank of Rio Negro, in Manaus County, North Brazil. This population can only be accessed by river. Random, systematic, stratified sampling was conducted on 287 households. A questionnaire about consumed food, socioeconomic conditions and food obtainment was applied. The analysis was performed in R software. Descriptive statistical analysis and log-binomial regression were carried out. RESULTS: It was observed that eating habits were mainly based on in natura (unprocessed) or minimally processed foods, according to the food classification system NOVA. Food diversity was low and the most consumed food types were coffee, flour and rice. The influence of small local markets, income and traditional practices on food intake based on food processing level was also observed. Thus, the chances of eating fish in locations with a small grocery shop were lower (p=0.009) and of eating chicken were higher (p≤0.001). The chances of consuming in natura or minimally processed foods among the literate population (p=0.041) with higher income (p≤0.001) were higher. The chances of eating processed foods were lower where fishing (p=0.007) and farming (p=0.009) were practiced. CONCLUSION: Based on these unexpected results, the present research highlights the food consumption of a riverside population and reduces the shortage of information about the largest traditional Amazonian population.

Achieving resilience through knowledge management practices and risk management culture in agri-food supply chains.

The problems with the current food distribution system are laid forth in this study. Getting high-quality agricultural and food products to consumers is the goal of what is known as the "agri-food supply chain." Agri-food supply chain knowledge exchange and risk management culture are being studied, as is the effect of supply chain management methods on business success. We are seeing an increase in the regularity of supply chain interruptions. The recent supply chain interruptions and their associated consequences highlight the necessity for robust supply systems. The primary goal of this research is to examine the interplay between critical antecedents of the agri-food supply chain; supply chain resilience (including risk management culture); supply chain connectivity, visibility, collaboration, and agility; and the effect these factors have on supply chain resilience and, ultimately, firm performance. With the same foundational elements and backing from the literature, an empirical model has been suggested. From September 2020 to June 2021, 245 random samples were collected throughout Indonesia for this investigation. The suggested model and the interdependencies among the crucial antecedents have been verified using partial least squares-structural equation modeling (PLS-SEM). Findings from this study support the notion that agri-food supply chains benefit from increased emphasis on traceability, transparency, information sharing, and a culture of risk management. One major takeaway from this study is that by adopting the suggested methodology, businesses may build and strengthen their supply chain resilience capabilities by institutionalizing a risk management culture, raising employee risk awareness, and holding regular risk assessment drills. The study also suggests that businesses that want to strengthen their supply chains can do so by adopting information and communications technologies and visibility tools to improve their supply chain connectivity and visibility, allowing them to respond to and recover from disruptions in the supply chain more quickly. The model is validated using data from Indonesia's industrial sector. In order to establish supply chain resilience, the suggested model provides a comprehensive perspective that defines the interconnections between key antecedents. We conclude with some thoughts and suggestions for further study.

A review of supply chain quality management practices in sustainable food networks.

Supply chain quality management practices are necessary to improve processes, meet consumer quality needs, and enhance supply chain quality management performance in sustainable food networks. Food supply chain quality management and associated practices are considerably studied in global food systems, less so for alternative food networks. There are salient differences between global food systems and alternative food networks, which may reflect on the applicable supply chain quality management practices in the food systems and networks. This paper reviews the literature on supply chain quality management practices, with a focus on alternative food networks. A systematic literature review methodology is adopted, resulting in the analysis of seventy-eight papers, identifying a total of one hundred and three supply chain quality management practices. The identified supply chain quality management practices were analysed in relation to their link to a) place, production, and producer and b) link to (bio)processes. Emerging themes from the analysis are discussed, and some areas of future research were put forward.

Impact of Modified Atmosphere Packaging Conditions on Quality of Dates: Experimental Study and Predictive Analysis Using Artificial Neural Networks.

Dates are highly perishable fruits, and maintaining their quality during storage is crucial. The current study aims to investigate the impact of storage conditions on the quality of dates (Khalas and Sukary cultivars) at the Tamer stage and predict their quality attributes during storage using artificial neural networks (ANN). The studied storage conditions were the modified atmosphere packing (MAP) gases (CO2, O2, and N), packaging materials, storage temperature, and storage time, and the evaluated quality attributes were moisture content, firmness, color parameters (L*, a*, b*, and ∆E), pH, water activity, total soluble solids, and microbial contamination. The findings demonstrated that the storage conditions significantly impacted (p < 0.05) the quality of the two stored date cultivars. The use of MAP with 20% CO2 + 80% N had a high potential to decrease the rate of color transformation and microbial growth of dates stored at 4 °C for both stored date cultivars. The developed ANN models efficiently predicted the quality changes of stored dates closely aligned with observed values under the different storage conditions, as evidenced by low Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) values. In addition, the reliability of the developed ANN models was further affirmed by the linear regression between predicted and measured values, which closely follow the 1:1 line, with R2 values ranging from 0.766 to 0.980, the ANN models demonstrate accurate estimating of fruit quality attributes. The study's findings contribute to food quality and supply chain management through the identification of optimal storage conditions and predicting the fruit quality during storage under different atmosphere conditions, thereby minimizing food waste and enhancing food safety.

Could commercial meal kits be part of the solution to food insecurity during pregnancy? An Australian exploratory study.

AIM: To explore the nutritional content of meal kits from two main Australian companies over a 6-week period against healthy eating guidelines for pregnancy. METHOD: Across the 6-week period, weekly meal kits from both Provider 1 and Provider 2 were purchased, 36 individual meals were assessed. All data were analysed for the development of a macronutrient and micronutrient profile of meals. Extracted data were macronutrient, vitamin, and mineral composition, which were compared against the healthy eating guidelines for pregnant women in Australia and New Zealand. RESULTS: Meal kits include higher levels of sodium, and lower levels of dietary fibre, calcium, magnesium, zinc, iron, thiamin, riboflavin, grains, and dairy when compared against the guidelines for healthy eating for pregnant women in Australia and New Zealand. CONCLUSIONS AND IMPLICATIONS: Meal kits may increase meals prepared and consumed in the home, and thanks to the clear instructions and pre-portioned ingredients, may reduce stress related to food preparation. They have the potential to provide nutritionally adequate meals to pregnant women as a way to mitigate food insecurity or hunger during pregnancy and may provide some nutritional benefits and have the potential to remove some of the challenges with maintaining an adequate diet when pregnant.

Potential Energy and Environmental Footprint Savings from Reducing Food Loss and Waste in Europe: A Scenario-Based Multiregional Input-Output Analysis.

Food loss and waste (FLW) contribute significantly to the global food system's economic and environmental burdens, including substantial greenhouse gas (GHG) emissions, resource depletion, and waste management challenges. In alignment with the European Commission's sustainability objectives and U.N. Sustainable Development Goal 12.3, this study explores the potential energy and environmental footprint savings achievable by halving FLW in Europe by 2030. Using a multiregional input-output model, we estimated the total global energy and environmental footprint savings across all stages of the food supply chain, considering industry-specific FLW rates and proportion weights. The findings reveal substantial environmental savings across Europe, with aggregate savings potentially reaching 51 Mt CO2e (0.09 t CO2e/p), 4,620 Mm3 (8 m3/p) of blue water, 106,446 km2 (179 m2/p) of cropland, 55,523 km2 (93 m2/p) of grassland, and 0.47 EJ (0.54 TJ/p) of energy. The greatest potential for savings was found in Western Europe, specifically in France, Germany, Belgium, and The Netherlands. However, countries with a lower per capita GDP, such as Greece, Croatia, Bulgaria, and Romania, also demonstrate significant per capita savings potential, indicating that wealth does not necessarily correlate with higher environmental savings. Agricultural production emerged as the stage with the highest footprint reduction potential for GHG and resource footprints across Europe, while the foodservice and institutional stages offer the greatest energy-saving potential. Geographical disparities underscore the need for region-specific policies. These results challenge the wealth-sustainability correlation and advocate for adaptable policies that transcend national wealth and accommodate regional disparities, underlining the pivotal roles of the agricultural production and consumption stages in footprint savings.

Individual- and supply-level macronutrient intakes are well correlated over a 50-year period (1961-2011) in 18 countries in Asia, North America, and Europe.

Reliable information on dietary trends is essential. We compared individual-level dietary estimates for total energy, carbohydrate, fat, and protein intake over time with national supply data from the Global Expanded Nutrient Supply Model (186 paired estimates from 1961 to 2011, 18 countries). We hypothesized that supply data would overestimate individual measures and that the two measures would be weakly correlated. Individual- and supply-level estimates were compared using Spearman correlation coefficients and linear mixed-effect models were used to estimate the differences between measures. Overall, the correlations between individual- and supply-level measures were moderate for energy (rs = 0.34) and carbohydrate (rs = 0.39), strong for fat (rs = 0.85), and protein (rs = 0.69). Trends in total energy measured by individual-level surveys and total energy supply were positively correlated in 38.9% of countries, whereas trends in macronutrients aligned between estimates in most countries. Supply-level dietary data overestimated individual-level intakes, especially in higher income countries in Europe and in the United States. In the United States, supply-level data exceeded individual-level estimates by 26.3% to 29.9% for energy, carbohydrate, and fat, whereas protein estimates were similar between measures. In Europe, supply-level estimates overestimated individual-level intake by 19.9% for energy, 17.0% for carbohydrate, 13.7% for fat, and 7.7% for protein, whereas estimates for energy and macronutrients were similar in Asia. In Asia and lower income countries, our findings generally support the use of supply-level data in the absence of individual-level data, though this finding may be related to smaller sample size and differences in underlying national statistics that inform supply data.