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Children's food insecurity experiences are largely unrepresented in academic literature. Parents and caregivers cannot always accurately evaluate their children's attitudes or experiences, and even within the same family unit, children and their parents may report differing views and experiences of family food insecurity. The purpose of this narrative review is to identify studies that include children's voices and their perceptions, understanding, and experience of food insecurity in the household.

This narrative review aimed to address the following questions: (1) “What research studies of household food insecurity include children's voices?” and (2) “Across these studies, how do children perceive, understand and experience food insecurity in the household?”. A database search was conducted in October 2022. After inclusion and exclusion criteria were applied, 16 articles remained for review.

The findings from this review were organised into three themes: Theme 1: Ways children coped with accessing food or money for food; Theme 2: Food-related strategies children used to avoid hunger; and Theme 3: Children attempt to mask food insecurity.

Future research should further explore the long-term consequences of social pressures and informal economic engagement on children's well-being and social development. By addressing the social determinants of food insecurity, this study can strive to create supportive environments that enable all children to access adequate nutrition and thrive.

Overall, the findings of this review demonstrate the significant social pressures that shape children's responses to food insecurity. Results suggest that children's decision-making processes are influenced by the desire to maintain social standing and avoid the negative consequences of being food insecure. As such, this review underscores the need for a comprehensive understanding of the social context in which food insecurity occurs and the impact it has on children's lives. Understanding these dynamics is crucial for developing effective interventions and policies addressing the multifaceted challenges food insecure children face.

This review has highlighted a need for interventions to incorporate trauma-informed strategies to protect children from and respond to the psychologically distressing experiences and impact of living in food insecure households.

This research aims to explore how female immigrants use consumption to challenge and support their husband's position within the context of their patriarchal bargain.

The sample group (n = 20) consisted of ten first-generation Nigerian immigrant married couples living in Britain, who were interviewed together, with the married female then re-interviewed separately.

This paper demonstrates how women transition from being a wife in a consanguine family in Nigeria, which they describe as patriarchal, to becoming one within a nuclear family in the UK, a society to which they attribute gender equality. Nigerian immigrant women alter their ways of thinking and consuming, with implications to their agency and empowerment. In particular, consumption choices demonstrated the limits of these women’s willingness to challenge their patriarchal bargain and instead often colluded with their husbands to maintain his position as the head of the family.

Immigrant women should not be seen as passive receptors of their male partner’s wishes or demands, but instead active participators in purchasing and consumption decisions. Although marketing encourages direct targeting of customers, this approach raises a number of ethical issues for female African immigrants.

Previous research on the consumption behaviour of immigrants is limited in scope and tends to focus on male immigrants, with female immigrants either invisible or stereotyped. Compounding this problem are disciplinary, geographical and linguistic barriers that hinder social scientists' research into the consumption of female migration. This paper works to address these omissions.

Foodbank use in the UK is rising but, despite high levels of poverty, Pakistani women are less likely to use food banks than white British women. The purpose of this paper is to understand the lived experience of food in the context of poverty amongst Pakistani and white British women in Bradford, including perspectives on food aid.

A total of 16 Pakistani and white British women, recruited through community initiatives, participated in three focus groups (one interview was also held as a consequence of recruitment difficulties). Each group met for two hours aided by a moderator and professional interpreter. The transcripts were analysed thematically using a three-stage process.

Women in low-income households employed dual strategies to reconcile caring responsibilities and financial obligations: the first sought to make ends meet within household income; the second looked to outside sources of support. There was a reported near absence of food insecurity amongst Pakistani women which could be attributed to support from social/familial networks, resource management within the household, and cultural and religious frameworks. A minority of participants and no Pakistani respondents accessed charitable food aid. There were three reasons for the non-use of food aid: it was not required because of resource management strategies within the household and assistance from familial/social networks; it was avoided out of shame; and knowledge about its existence was poor.

This case study is the first examination of varying experiences of food insecurity amongst UK white British and Pakistani women. Whilst the sample size is small, it presents new evidence on perceptions of food insecurity amongst Pakistani households and on why households of varying ethnicities do not use food aid.

The study proposes Material Flow Analysis (MFA) methodology as a tool to measure and qualify food waste in the Italian beef supply chain in each stage of the food supply chain, from farm to fork. In particular, the authors attempt to: (1) measure resources consumption and waste generation toward companies' and policymakers' sustainable evaluations; (2) enhance consumers' education in the field of agri-food resilience and sustainability.

MFA is applied to the entire Italian sector of beef consumed as packaged fresh product in 2020, during the Covid-19 pandemic. The analysis regards bovine, which represent roughly one-third of the national meat flow. To collect data, bottom-up and top-down mixed approach is applied. Subsequently, MFA results are used to calculate the wastage-related losses in terms of embedded natural resources (e.g. water, energy).

In 2020, it results that the Italian meat industry slaughtered more than 1.15 Mt of bovine to produce approximately 0.29 Mt of fresh meat, 0.69 Mt of by-products and over 0.015 Mt of food waste at households, while 0.15 Mt of beef meat is destined to catering services and food industry (out-of-boundaries). In terms of hidden natural resources, it emerged that, on average, more than 94bn m3 of water, approximately 101,000 TJ of energy and over 11,500 t of PET and PE trays are required to sustain the entire beef system.

This research is one of the few studies proposing MFA methodology as a tool to measure food waste and hidden associated flows in the agri-food sector. This analysis shows its utility in terms of natural resources (water, energy, materials) and waste quality/quantity evaluation, hidden flows accounting and development of new educational strategies toward food waste minimization and sustainability at household consumption.

The purpose of this paper is to modify the crow search algorithm (CSA) to enhance both exploration and exploitation capability by including two novel approaches. The positions of the crows are updated in two approaches based on awareness probability (AP). With AP, the position of a crow is updated by considering its velocity, calculated in a similar fashion to particle swarm optimization (PSO) to enhance the exploiting capability. Without AP, the crows are subdivided into groups by considering their weights, and the crows are updated by conceding leaders of the groups distributed over the search space to enhance the exploring capability. The performance of the proposed PSO-based group-oriented CSA (PGCSA) is realized by exploring the solution of benchmark equations. Further, the proposed PGCSA algorithm is validated over recently published algorithms by solving engineering problems.

In this paper, two novel approaches are implemented in two phases of CSA (with and without AP), which have been entitled the PGCSA algorithm to solve engineering benchmark problems.

The proposed algorithm is applied with two types of problems such as eight benchmark equations without constraint and six engineering problems.

The PGCSA algorithm is proposed with superior competence to solve engineering problems. The proposed algorithm is substantiated hypothetically by using a paired t-test.

The purpose of this paper is to explore the practice of hiding vegetables among low socioeconomic parents.

A qualitative longitudinal study involving 37 low socioeconomic Australian parents with at least one overweight or obese child aged five to nine years. Data were obtained with the use of interviews, focus groups, and self-introspections.

Identified issues relating to the practice of hiding vegetables included: how parents manage hiding vegetables, children's presence in the kitchen during vegetable preparation, the employment of deception when hiding vegetables, the use of cookbooks and blogs, and the alternative views of parents not strongly in favour of hiding vegetables.

Hiding vegetables is a practice used by some parents to increase their children's vegetable intake. Children who are unaware of hidden vegetables in their meals are potentially missing the opportunity to develop an appreciation for vegetables and learn about vegetable preparation and cooking.

The findings are relevant to dietitians, general practitioners, and other health professionals providing advice to parents on appropriate child-feeding strategies.

This appears to be the first study to provide an in-depth account of low socioeconomic parents’ use of hiding vegetables to facilitate higher levels of vegetable consumption.

Recently, electric vehicles have been widely used in the cold chain logistics sector to reduce the effects of excessive energy consumption and to support environmental friendliness. Considering the limited battery capacity of electric vehicles, it is vital to optimize battery charging during the distribution process.

This study establishes an electric vehicle routing model for cold chain logistics with charging stations, which will integrate multiple distribution centers to achieve sustainable logistics. The suggested optimization model aimed at minimizing the overall cost of cold chain logistics, which incorporates fixed, damage, refrigeration, penalty, queuing, energy and carbon emission costs. In addition, the proposed model takes into accounts factors such as time-varying speed, time-varying electricity price, energy consumption and queuing at the charging station. In the proposed model, a hybrid crow search algorithm (CSA), which combines opposition-based learning (OBL) and taboo search (TS), is developed for optimization purposes. To evaluate the model, algorithms and model experiments are conducted based on a real case in Chongqing, China.

The result of algorithm experiments illustrate that hybrid CSA is effective in terms of both solution quality and speed compared to genetic algorithm (GA) and particle swarm optimization (PSO). In addition, the model experiments highlight the benefits of joint distribution over individual distribution in reducing costs and carbon emissions.

The optimization model of cold chain logistics routes based on electric vehicles provides a reference for managers to develop distribution plans, which contributes to the development of sustainable logistics.

In prior studies, many scholars have conducted related research on the subject of cold chain logistics vehicle routing problems and electric vehicle routing problems separately, but few have merged the above two subjects. In response, this study innovatively designs an electric vehicle routing model for cold chain logistics with consideration of time-varying speeds, time-varying electricity prices, energy consumption and queues at charging stations to make it consistent with the real world.

This paper uses data from a city with a multi-ethnic, multi-faith population to better understand faith-based food aid. The paper aims to understand what constitutes faith-based responses to food insecurity, compare the prevalence and nature of faith-based food aid across different religions and explore how community food aid meets the needs of a multi-ethnic, multi-faith population.

The study involved two phases of primary research. In Phase 1, desk-based research and dialogue with stakeholders in local food security programmes were used to identify faith-based responses to food insecurity. Phase 2 consisted of 18 semi-structured interviews involving faith-based and secular charitable food aid organizations.

The paper illustrates the internal heterogeneity of faith-based food aid. Faith-based food aid is highly prevalent and the vast majority is Christian. Doctrine is a key motivation among Christian organizations for their provision of food. The fact that the clients at faith-based, particularly Christian, food aid did not reflect the local religious demographic is a cause for concern in light of the entry-barriers identified. This concern is heightened by the co-option of faith-based organizations by the state as part of the “Big Society” agenda.

This is the first academic study in the UK to look at the faith-based arrangements of Christian and Muslim food aid providers, to set out what it means to provide faith-based food aid in the UK and to explore how faith-based food aid interacts with people of other religions and no religion.

This paper aims to explore the potential of blockchain technology (BT) to support the operational excellence in perishable food supply chain (PFSC) during outbreaks, by doing use-case analysis.

A systematic literature review is performed to determine the dimensions of operational excellence in the food supply chain (FSC), then a single use-case analysis is conducted to explore the potential of blockchain in order to achieve operational excellence for PFSC during the pandemics by applying context, interventions, mechanism and outcomes (CIMO) logic.

The findings of this study reveal that blockchain capabilities such as immutability and transparency, visibility, traceability, integration and interoperability, disintermediation and decentralisation, smart contracts and consensus mechanism provide better sustainable operational excellence outcomes for PFSCs to be more responsive, flexible, efficient and collaborative to cope with the impacts of COVID-19.

This research employs only one real case with multiple PFSC participants. Statistical generalisation is not possible at this stage of the research. However, the findings are not restricted to this single use-case.

This study provides a research direction to explore the potential of BT to achieve operational excellence in the PFSC during outbreaks and generates prescriptive knowledge for better managerial decision-making across the PFSC during outbreaks.

This research conducts semi-structured interviews with different participants in one blockchain ecosystem to understand multiple participants' perspectives of operational excellence within PFSC.

By integrating the diffusion of innovation (DOI) theory, technology acceptance model (TAM), and social capital theory, the purpose of this paper is to: develop a model of consumer behavior and trial willingness toward nano-foods from product, consumer, and social perspectives; examine the effects of innovative features, consumer characteristics, and trust in authority on subjective perceptions (perceived trustworthiness and perceived benefit) as well as the social influence on attitudes toward nano-foods and trial willingness; examine the moderating role of product uncertainty on the relationship between these characteristics and subjective perceptions; and examine the effect of perceived benefit on perceived trustworthiness.

The results of the structural equation model (SEM), with nano-food knowledge data collected from 431 respondents, supported the research model and revealed the main effects hypothesized in this study and the moderating effect of product uncertainty. Simple slope analysis was further adopted to test the significant moderating effects.

The SEM results indicated that innovative characteristics (relative advantage, lack of observability, and novelty), consumer characteristics (perceived technology application), and social characteristics (trust in authority) affect perceived trustworthiness or perceived benefit. Social influence also has a direct effect on attitude toward nano-foods and trial willingness. Product uncertainty significantly moderates the relationship between characteristics (relative advantage and perceived technology application) and subjective perceptions (perceived trustworthiness and perceived benefit).

With increasing numbers and kinds of nanotechnology products now being developed and sold, it is important to go further to determine consumer perceptions and attitudes toward these. This study, thus, applied the DOI, TAM, and social capital theory to examine this issue. However, other theories might also be used to carry out research from other perspectives. This study should, thus, be seen as preliminary, and it is hoped that more works will discuss consumer attitudes toward nanotechnology products in the future.

When a new nano-food is introduced, the current study suggests that food manufacturers use the description on the package as a communicative tool. Detailing the advantages of nano-foods on food packages might be a useful way to enhance trial willingness and to reduce the fears and insecurities related to the use of nano-related products. In addition, if food manufacturers could cooperate with organizations or individuals seen as having some authority in this area (e.g. nanotechnology researchers) in order to disseminate accurate information about nanotechnology and related food products, this might be an effective way to increase sales and profits.

This is the first paper integrating the DOI, the social capital theory and the TAM to empirically investigate consumer willingness to try nano-food products.