Search results

This paper aims to examine the effect of a food-inspired multimedia intervention on children’s fruits and vegetables (F&V) consumption in a real-life setting during lunch.

Children in an elementary school in Bologna (Italy) in third, fourth and fifth grade, aged between 9 and 12 years old, were examined (N = 171). Two different types of messages (generic and specific) were used to test message-tailoring in two separate intervention groups and one control group. The two intervention groups (classes) were presented with multimedia messages during an English lesson before lunchtime, and their eating behavior during lunch at school was observed. All children were served the first and second course, vegetables and fruit during lunchtime. Data was analyzed with R 3.4.2. Mann–Whitney U, Kruskal–Wallis and ANOVA tests were used to test for group differences, ordered logistic regression for modelling fruit and vegetable consumption.

The results show that children receiving a specific message targeting F&V consumed more fruit than the other two study groups. No effect on vegetable consumption was observed. Results from an ordered logit model support the notion that the multimedia message impacted fruit intake in the specific message group when taking other variables into account, such as F&V consumption and availability at home and children’s attitude toward F&V.

While many studies have considered a group of intervention for understanding the effect of multimedia, this study is focused only on the effect of a message (generic or specific). Moreover, participants, children, were not informed that they were participating in a study on fruit and vegetables consumption, and thus were following their daily routine.

Apples have always been considered a healthy product able to provide curative properties to consumers. In Italy, there is a long tradition of apple consumption and production both as a fresh product and as processed food. However, as with many other products, the consumption of fruits and vegetables and, more specifically apples, has been drastically affected by the first lockdown in 2020. In this project, the authors investigate whether the change in consumption habits had long-lasting consequences beyond 2020 and what are the main eating motivations, food-related behavior and socio-demographic affecting the consumption of fruits and vegetables after the pandemic.

The authors ran two online surveys with 1,000 Italian consumers across a year (from October 2021 to December 2022). In the study, participants answered questions about their consumption habits and their eating motives. Out of 1,000 consumers, the authors included in the final analysis only the participants who answered both surveys, leaving a final sample of 651 consumers.

The results show that participants have allocated more budget to fruit and vegetables after the lockdown than before it. Moreover, consumers reported an average increase in the consumption of apples. However, the increase was more pronounced for people aged between 30 and 50 years old and identified as female. After showing the difference across time, a cluster analysis identified three main segments that differ in their eating motives, place of purchase and area of residence.

Overall, the results contribute to a better understanding of how the global pandemic is still affecting people's daily life. Moreover, the findings can be used to guide the marketing and communication strategies of companies in the food sector.

To the best of the authors' knowledge, this is the first study that investigates changes in the consumption of fruits and vegetables, and, more specifically, apples, in Italy more than one year after the beginning of the COVID-19 pandemic. Moreover, the study proposes a classification of consumers based on their habits in a time frame during which the COVID-19 wave was at its bottom which is not currently present in the literature.

Self-efficacy has often been found to play a significant role in healthy dietary behaviours. However, self-efficacy interventions most often consist of intensive interventions. The authors aim to provide more insight into the effect of brief self-efficacy interventions on healthy dietary behaviours.

In the present article, two randomized controlled trials are described. In study 1, a brief self-efficacy intervention with multiple self-efficacy techniques integrated on a flyer is tested, and in study 2, an online brief self-efficacy intervention with a single self-efficacy technique is tested.

The results show that a brief self-efficacy intervention can directly increase vegetable intake and indirectly improve compliance to a diet plan to eat healthier.

These findings suggest that self-efficacy interventions do not always have to be intensive to change dietary behaviours and that brief self-efficacy interventions can also lead to more healthy dietary behaviours.

The main aim of this study is to explore the appropriate factors in measuring COVID-19-induced supply chain disruptions and the impact of these disruptions on the economic vulnerability of small-scale farmers in Sri Lanka.

The findings revealed that most of the farmers have continued to cultivate even during the pandemic despite several challenges which affected their economic status. Therefore, it is concluded that COVID-19-induced transportation and demand disruptions exacerbated the economic vulnerability of small-scale farmers over the disruptions in supply and production.

The findings of this study are crucial for formulating novel policies to improve the sustainability of the Sri Lankan agricultural sector and alleviate the poverty level of Agri-communities in the countryside. As farming is a vital sector in the economy, increased attention ought to be given on facilitating farmers with government-encouraged loans or allowances for their financial stability. Further, the respective government authorities should develop programs for importing and distributing adequate quantities of fertilizers among all the farmers at controlled prices so that they can continue their operations without any interruption. Moreover, the government could engage in collaboratively work with private organizations to streamline the Agri-input supply process. There should be a government initiative for critical consideration of the issues of farming families and their continued motivation to engage in agriculture. Thus, farmers' livelihoods and agricultural prosperity could be upgraded through alternative Agri-inputs and marketing strategies, providing financial assistance, encouraging innovative technology, etc.

Despite the significance and vulnerability of the vegetable and fruit sector in Sri Lanka, there is a limitation in the empirical studies conducted on the supply chain disruptions caused by COVID-19 measures and their implications on the farmers' livelihood. Furthermore, previous empirical research has not employed adequate quantitative tools to analyze the situation or appropriate variables in evaluating COVID-19-induced disruptions. Hence, the current study explored the appropriate factors for measuring COVID-19-induced supply chain disruption using exploratory factor analysis. Then, the impact of those factors on the economic vulnerability of the small scale farmers was revealed through the ordinal logistics regression analysis.

Based on a sample of 308 enterprises, this paper studies the determinants of export organic supply chain performance. The results indicate seven positive determinants that influence positively the supply chain performance, including: (i) need-satisfying ability (NSA), (ii) relationship management, (iii) information management, (iv) quality management, (v) coordination and cooperation mechanisms, (vi) operation management, and (vii) marketing strategy of the export organic supply chain. In contrast, the differentiated segmentation strategy and cost strategy have no impact on the export organic supply chain performance.

With the crescent globalisation together with economic and food crisis, consumers are increasingly confronted with food products from different origins and appeals to consume “national”. If many food products can be related to a specific region or country, many are sold as commodities with Portuguese origin indication. One factor influencing the purchase behaviour of domestic food products is the consumer ethnocentrism (CE) characteristic. The aim of this paper is to study consumers' purchase behaviour intention towards “produce in Portugal” fruits and vegetables applying a CE extended model of the theory of planned behaviour (TPB).

A questionnaire was presented to random sample of 700 individuals older than 18 and responsible for the household food purchase by computer-assisted telephone interview (CAT) system. Structural equation modelling (SEM) was conducted to examine direct and indirect effects of attitude (ATT), subjective norms (SuBNs), perceived behavioural controls (PBCNTRLs), intention and self-congruity on domestic fresh fruits and vegetables purchases.

Findings suggest that TPB model is applicable in determining the consumers' intention to buy domestic fruits and vegetables in Portugal. CE has been shown to successfully influence purchase intention.

This study provides the food industry and retail with informative basis about which mechanisms underlie the consumers' intention to buy domestic food. Also, this study provides useful insight into how different food categories and label affect the consumers' intentions, which can serve for communication strategies in order to increase purchase of domestic products as fruits and vegetables. New food categories should be studied.

This study gives a new approach on Portuguese consumer ethnocentric tendencies and opens a discussion on consumer purchase intention on Portuguese low value food products. This gives a first insight on Portuguese consumer ethnocentric behaviour.

Background: Evidence suggests that people living in poverty often experience inadequate nutrition with short and long-term health consequences. Whilst the diets of low-income households have been subject to scrutiny, there is limited evidence in the UK on the diet quality and food practices of households reporting food insecurity and food bank use. We explore lived experiences of food insecurity and underlying drivers of diet quality among low-income families, drawing upon two years of participatory research with families of primary school age children.

Methods: We report on a mixed-methods study of the relationship between low income, food bank use, food practices and consumption from a survey of 612 participants, including 136 free text responses and four focus groups with 22 participants. The research followed a parallel mixed-methods design: qualitative and quantitative data were collected separately, although both were informed by participatory work. Quantitative data were analysed using binary and multinomial logistic regression modelling; qualitative data were analysed thematically.

Results: Lower income households and those living with food insecurity struggle to afford a level of fruit and vegetable consumption that approaches public health guidance for maintaining a healthy diet, despite high awareness of the constituents of a healthy diet. Participants used multiple strategies to ensure as much fruit, vegetable and protein consumption as possible within financial constraints. The quantitative data suggested a relationship between higher processed food consumption and having used a food bank, independent of income and food security status.

Conclusions: The findings suggest that individualised, behavioural accounts of food practices on a low-income misrepresent the reality for people living with poverty. Behavioural or educational interventions are therefore likely to be less effective in tackling food insecurity and poor nutrition among people on a low income; policies focusing on structural drivers, including poverty and geographical access to food, are needed.

The purpose of this paper is to assess the impacts on production of five fruit crops from 1961 to 2018 of energy use, CO₂ emissions, farming areas and the labor force in China.

This analysis applied the autoregressive distributed lag-bound testing (ARDL) approach, Granger causality method and Johansen co-integration test to predict long-term co-integration and relation between variables. Four machine learning methods are used for prediction of the accuracy of climate effect on fruit production.

The Johansen test findings have shown that the fruit crop growth, energy use, CO₂ emissions, harvested land and labor force have a long-term co-integration relation. The outcome of the long-term use of CO₂ emission and rural population has a negative influence on fruit crops. The energy consumption, harvested area, total fruit yield and agriculture labor force have a positive influence on six fruit crops. The long-run relationships reveal that a 1% increase in rural population and CO₂ will decrease fruit crop production by −0.59 and −1.97. The energy consumption, fruit harvested area, total fruit yield and agriculture labor force will increase fruit crop production by 0.17%, 1.52%, 1.80% and 4.33%, respectively. Furthermore, uni-directional causality is correlated with the growth of fruit crops and energy consumption. Also, the results indicate that the bi-directional causality impact varies from CO₂ emissions to agricultural areas to fruit crops.

This study also fills the literature gap in implementing ARDL for agricultural fruits of China, used machine learning methods to examine the impact of climate change and to explore this important issue.

This study develops a modified food-related lifestyle (FRL) instrument to analyse Kosovo consumers' fruit consumption behaviour and attitudes.

The research study is based on a structured questionnaire designed using a reduced version of the FRL instrument, including evaluation factors related to fruit consumption, which is useful to describe a fruit-related lifestyle. Data were collected through a face-to-face survey with 300 consumers in three main cities in Kosovo. A principal component analysis (PCA) with Varimax rotation and Kaiser Normalisation was performed to interpret and investigate fruit-related lifestyles. Cluster analysis was performed to analyse market segments, using the identified factors obtained from the PCA, a hierarchical clustering algorithm with a Ward linkage method and the K-means clustering technique.

Consumption behaviour is motivated by health concerns (perceived), fruit (nutrition) content and consumption habits. Four distinct consumer clusters were identified based on the fruit-related lifestyle instrument and analysed considering the different fruit purchase and consumption behaviour, attitudes towards health, quality, taste and safety.

The authors adapted a survey tool based on a reduced FRL instrument to elaborate a specific survey instrument suitable to describe the fruit-related consumer's lifestyles. The instrument was not designed according to the standard scales design procedure, but it is a first step towards creating a fruit-related lifestyle instrument.

The fruit-related lifestyle instrument can be used in studies focused on fruit consumer segmentation. Results provide insight into fruit marketing and distribution companies, which can adjust their marketing strategies and customer-oriented initiatives tailored for specific consumer segments. Results can be useful also for policymakers to promote increased fruit consumption.

Previous research has shown that in contemporary societies, women have a healthier dietary intake than men. However, no research has examined how this gender gap develops over the long term. The present study examined how gender differences in fresh vegetable intake frequency have evolved from 1979 to 2017 in Finland and whether differences are affected by age or educational level.

The data were derived from annually repeated, nationally representative “Health Behaviour and Health among the Finnish Adult Population” and “Regional Health and Well-being (RHW)” surveys on the health habits of the Finnish population. The dataset is a time series of repeated cross-sectional surveys. In total, the data sample comprised 161,996 Finns aged 20–64 years. Descriptive methods and logistic regression were used for the analysis.

During 1979–2017, the prevalence of daily vegetable intake increased from 12 to 35% among men and from 18 to 56% among women. Thus, the magnitude of the gap between genders doubled across the study period. The increased vegetable intake was partly explained by the changing education and age structures of society. Potential explanations and avenues for future research are also discussed. Policy implications depend on whether the findings are interpreted as a case of health differences or health inequality.

This study used a long time series to analyse how gender differences in vegetable intake have evolved in a Nordic welfare state context. It showed that the gap in fresh vegetable intake between men and women has widened.