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Article

Consumer Knowledge about Dietary Relevance of Fruits and Vegetables: A Study Involving Participants from Portugal and France

by
Nolwenn Le Turc
1,2,
Ana Jaquelina Silva
1,
Sofia G. Florença
3,
António Raposo
4,*,
João Carlos Gonçalves
1,3,
Maria João Lima
1,3,
Edite Teixeira-Lemos
1,3,* and
Raquel P. F. Guiné
1,3
1
Department of Food Industry, Agrarian School of Viseu, 3500-606 Viseu, Portugal
2
IUT University Institute of Technology, Angers University, 49035 Angers, France
3
CERNAS-IPV Research Centre, Polytechnic University of Viseu, 3504-510 Viseu, Portugal
4
CBIOS (Research Center for Biosciences and Health Technologies), Universidade Lusófona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, Portugal
*
Authors to whom correspondence should be addressed.
Nutrients 2024, 16(2), 287; https://doi.org/10.3390/nu16020287
Submission received: 31 December 2023 / Revised: 14 January 2024 / Accepted: 16 January 2024 / Published: 18 January 2024
(This article belongs to the Special Issue Nutritional Adequacy and Health Outcome)
Versions Notes

Abstract

:
Fruits and vegetables are recommended as low-calorie foods that contribute to the proper intake of necessary micronutrients, macronutrients, and bioactive compounds with health benefits. However, the recommendations for the dietary intake of these foods fail to be attained in most European countries. For this reason, promoting more knowledge about the health effects of fruits and vegetables is essential to decrease the incidence of chronic diseases. This study was conducted to investigate the knowledge of the health benefits of fruits and vegetables among the population of Portugal and France. The present work involved a questionnaire survey of 639 participants (257 from Portugal and 382 from France). The results revealed that most participants were young females (68.9%) with good education (76%) and an average weight range. They consumed a varied diet (57%) but had body dissatisfaction (63.2%). The respondents had good knowledge about the health effects of fruits and vegetables. However, the French population knew more about the theme than the Portuguese. Portuguese individuals were more likely to have incomplete information. Gender and education significantly influenced knowledge levels, with females and highly educated individuals demonstrating greater understanding. Dissatisfaction with body weight drives individuals to seek nutrition information. This investigation enhances our comprehension of the factors that affect knowledge of vegetable and fruit consumption among young adults in Portugal and France. Moreover, it highlights the importance of implementing focused educational programs to enhance nutrition literacy, particularly for less-aware demographic groups. Going forward, a more in-depth analysis of these factors could assist in creating more efficient strategies to encourage healthier dietary habits and improve nutrition literacy among these communities.

1. Introduction

Vegetables and fruits are fundamental to a healthy lifestyle, providing diverse vitamins, minerals, phytochemicals, and fiber essential for bolstering the immune system, combatting malnutrition, and preventing noncommunicable disorders across all age groups [1]. However, inadequate diets rank among the top contributors to the global disease burden, emphasizing the significance of fruit and vegetable intake. Regularly consuming these nutrient-dense foods has consistently demonstrated a reduced risk of noncommunicable diseases such as cardiovascular diseases, certain cancers, and obesity [2,3]. Despite their well-established benefits, many individuals fail to reach the recommended daily intake of vegetables and fruits, and research examining this shortfall and its influencing factors remains limited.
The high consumption of plant-based foods, including fruits and vegetables, represents a pivotal feature of Mediterranean dietary patterns, renowned for their myriad health benefits [4,5,6,7,8,9,10]. Shifting current dietary practices towards greater sustainability necessitates understanding the potential for improvement, as augmenting the consumption of fruits, vegetables, and fish may entail sustainability trade-offs [11]. Moreover, dietary diversity forms a cornerstone of a healthy regimen, and optimizing health may involve leveraging local fruits and vegetables [12], with modifications often influenced by social norms and cultural values [13].
Crucially, consumer knowledge concerning the dietary significance of vegetables and fruits plays a pivotal role in influencing their consumption habits. Understanding nutritional value, health advantages, and optimal consumption strategies empowers individuals to make informed dietary choices [14]. Enhancing consumer awareness regarding these dietary impacts is imperative for fostering improved public health outcomes, particularly among younger generations, as early adoption of healthy habits diminishes the likelihood of chronic diseases later in life [15].
Misconceptions regarding portion sizes, preparation techniques, and cooking methods might hinder individuals from maximizing the benefits of these dietary powerhouses [16]. The World Health Organization (WHO) recommends an intake of 400 g of vegetables and fruits (equivalent to 5 servings/day) as a key indicator in its Global Action Plan for the Prevention and Control of NCDs 2013–2020 [17]. Moreover, ensuring the wholesomeness and safety of these food items is paramount, reflected in the increasing domestic and international regulations governing their production, processing, and distribution [17].
Discrepancies in traditional fruit and vegetable consumption often stem from variations in the availability (i.e., quantity) and accessibility (i.e., cost) of imported foods. Higher-income jurisdictions typically boast superior infrastructures facilitating the importation of goods, including food items [18].
Studies such as Mente et al.’s research [19] based on the Prospective Urban Rural Epidemiology (PURE) elucidate fruit and vegetable consumption across diverse populations, offering insights into the influence of dietary patterns on cardiovascular diseases and mortality rates. Additionally, the healthy diet score developed from this study highlights specific foods associated with significantly lower mortality risks, including fruits, vegetables, nuts, legumes, fish, and dairy [19].
In Portugal and France, dietary recommendations align with the latest scientific findings and WHO guidelines [20,21,22]. Despite an appreciation for fresh, flavorful ingredients and traditional culinary methods, both countries exhibit deficiencies in meeting dietary guidelines, particularly in the inadequate consumption of fruits and vegetables [20,22].
This work explores consumers’ understanding of the importance of fruits and vegetables in preventing chronic diseases. Thus, the present research aims to investigate knowledge about the importance of fruits and vegetables in health among populations in Portugal and France. Additionally, it seeks to discern knowledge disparities across diverse demographic factors, encompassing country of origin, gender, education level, body weight satisfaction, varied diet consumption, and chronic diseases.

2. Materials and Methods

2.1. Instrument and Data Collection

This transversal descriptive study was conducted on individuals 18 years old or above. The survey was carried out in France and Portugal. A questionnaire was developed to gain the necessary information. The questionnaire consisted of 5 parts, where participants self-reported data concerning sociodemographic and anthropometric characteristics. Individuals also answered questions about their perception of current body image, daily behaviors concerning consuming a varied diet and practicing exercise, and health problems (presence of noncommunicable diseases). The fifth and last part evaluated the participants’ knowledge about the benefits of vegetables and fruits through statements that should be answered on a Likert scale from 1 (strongly disagree) to 5 (strongly agree). Two language versions (Portuguese and French) of the survey were used to ensure the questions were understood. Questions in both surveys were the same and followed the same order.

2.2. Participants and Ethics

To be disseminated among participants in Portugal and France, the questionnaire was translated into the two native languages. The online instrument was inserted into the Google Forms® online platform. The questionnaire was disseminated in social networks and by email following a snowball procedure. Data collection took place between December 2020 and May 2021. The exclusion criteria were age under 18 and nationality other than French or Portuguese. The inclusion criteria adopted were: (a) adults (>18 y/o) and (b) residents in Portugal or France, (c) understanding the language, completion of all questions in the survey, contentment to participate in the survey, and agreement to further use of the results in scientific work. Those who wanted to participate accessed the questionnaire items. Those who disagreed were directed to the final page that acknowledged their time. All 639 individuals who attempted to participate in the study, of which 382 were French and 257 were Portuguese, completed the questionnaire and were included.
The research followed the American Psychological Association (APA) Ethical Guidelines for Research involving Human Subjects. The participants were informed about the study’s scope and were not compensated for their participation. Participants gave informed consent when they clicked on ‘Next page’ to start the online survey. The Polytechnic University of Viseu Ethics Committee approved the ethical aspects of this study (No. 10/SUB/2020).

2.3. Data Considerations

For the present study, we made the following considerations about data:
The participants were classified as young adults (between 18 and 25 years old), adults (between 26 and 55 years old), and senior adults (56 years old or over).
From anthropometrically reported data on height (m) and weight (kg), BMI was calculated as weight (kg)/height2 (m2).
The participants’ BMI was then classified according to the BMI classes of the World Health Organization (WHO): underweight—BMI < 18.5; average weight—18.5 ≤ BMI < 25; overweight—25 ≤ BMI < 30; obesity—BMI ≥ 30 [23].
The self-reported height and weight provided by the participants have been considered valid, showing moderate to good agreement when compared with direct measurements [24].
Assessment of knowledge: All items used to evaluate knowledge were calculated by the indices as the mean between the participants after reversing the incorrect items (items nº 1, 3, and 7) to place all the items in the same measuring scale, which was redefined to eliminate the effect of the participants who scored 3 (indifferent). Also, each participant’s knowledge level was calculated as the average of all items. In addition, the level of knowledge was divided into the following classes: very low knowledge (−2 ≤ value < −1), low knowledge (−1 ≤ value ≤ 0), high knowledge (0 < value < 1), and very high knowledge (1 ≤ value ≤ 2).

2.4. Statistical Analysis

Descriptive statistical methods, encompassing frequency, mean, and standard deviation analysis, were used for the data analysis. Parametric tests were used for data that presented a normal distribution (according to the Kolmogorov–Smirnov test) [25]. The tests used were the t-test for independent samples to compare between two groups and Analysis of Variance—ANOVA, complemented with a post hoc Tukey test to identify the differences between three or more groups [26].
In order to ensure that the questionnaire used in the study was reliable and consistent, a Measurement System Analysis (MSA) was performed [27,28,29]. An anti-image matrix was used to assess the MSA values of all 11 items, and it was found that all values were greater than 0.5. This confirms that all 11 items are suitable for inclusion in the analysis.
To evaluate the internal consistency of each factor (F1 [TRUE], F2 [FALSE]), we calculated the Cronbach’s alpha (α) value [30]. The results indicate that factor F1 has a very good level of internal consistency, with a Cronbach’s alpha value of 0.866. In contrast, factor F2 demonstrated good internal consistency with a Cronbach’s alpha value of 0.692 [31,32,33]. Clusters were established after the use of statistical methods [34,35,36].
Finally, the chi-square test assessed differences between clusters according to the sociodemographic factors. The Cramer’s V coefficients were also calculated to measure the association between the categorical variables tested [37].
The software used for the analysis of data was SPSS (Version 28) from IBM Inc. (Armonk, NY, USA), and the level of significance considered was p < 0.05.

3. Results

3.1. Sample Characterization

Table 1 shows the sociodemographic, nutritional status, and behavioral characteristics of the participants and the Portuguese and French groups of participants. Most were young adults, constituting 67.1% of the total sample, with similar percentages in Portugal (70.4%) and France (64.9%). Females comprised a more significant portion, accounting for 68.9% of the total participants, with a higher representation among females in the French sample at 75.9%. Most participants were students, making up 64.9% of the total sample, ranging from 61.0% to 70.8% in France and Portugal, respectively. A significant proportion continued their education to the university level, accounting for 76.4%, with comparable percentages observed in both countries.
Participants generally fell within the normal weight range, although a significant percentage showed overweight (11.9% to 20.6%) or were classified as obese (between 5.0% and 5.4%). A majority (63.2%) expressed dissatisfaction with their body weight, primarily citing excess weight as the primary concern (52.0% in the total sample). The study revealed low levels of physical activity, with a considerable number reporting never or rarely engaging in physical exercise. While most participants reported practicing a varied diet, the frequency varied among individuals. Overall, participants self-reported good to reasonable global health status.
Table 2 provides insight into the prevalence of various health problems among participants from Portugal and France and highlights differences in reported health issues between the two countries and the combined global sample. The prevalence of reported health problems varies between the two countries and the global sample. Obesity emerges as the most prevalent health issue in the global sample, followed by high cholesterol and constipation.
Portugal consistently reported higher occurrences of various health problems, including diabetes, cardiovascular diseases, high cholesterol, constipation, and cancer, in comparison to France. In contrast, France reported a higher incidence of obesity but a lower prevalence of cancer when compared to Portugal.
Many participants in both countries refrained from answering or expressing uncertainty regarding health problems. This trend may reflect uncertainties or privacy concerns among the participants regarding divulging health-related information.

3.2. Level of Knowledge about Consumption of Fruits and Vegetables

As explained in the methodology, all eleven items used to assess knowledge were attributed a score. Under these assumptions, the indices calculated for each item are shown in Table 3 as a sum of the scores attributed by all participants and separated for each country. There are noticeable differences in the level of knowledge about fruits and vegetables between Portuguese and French participants, with the French generally demonstrating higher understanding across most aspects examined. Additionally, the global indices portray a better knowledge trend closer to the French participants, indicating a more widespread understanding across various statements among the overall sample than the Portuguese participants.
Table 4 depicts participants’ knowledge regarding fruits and vegetables, analyzing various sociodemographic, anthropometric, and behavioral variables. Differences in knowledge levels were evident between Portugal and France, with participants from France showing notably higher mean knowledge scores than those from Portugal. Gender-based disparities were observed, with females displaying a higher level of knowledge than males, signifying a gender-oriented distinction in understanding the importance of fruits and vegetables. Participants with a university education exhibited significantly higher levels of knowledge than those with a high school education, highlighting an education-related divergence in comprehension. Individuals dissatisfied with their body weight, mainly due to being overweight, showcased higher levels of knowledge compared to those content with their body weight. Consistently, participants reporting a varied diet demonstrated higher knowledge levels than those reporting a less diverse or monotonous diet. There was a noteworthy difference in knowledge among participants with different BMI categories. Individuals categorized as obese showed lower knowledge levels compared to other BMI categories, although this difference was not statistically significant.

3.3. Association between Participant Clusters and Sociodemographic Factors Impacting Knowledge of Fruits and Vegetables

The cluster analysis identified three participant clusters: the first comprised individuals with high knowledge of both factors (about the true statements and also about the false statements), the second comprised those with low or very low knowledge (individuals who knew about the true statements and also about the false statements), and the third comprised individuals with partial knowledge, recognizing only the true items and failing to correctly identify the false statements.
After defining the clusters, it is relevant to understand how the different groups, according to sociodemographic, anthropometric, and behavioral factors, distribute among the three clusters. These results are shown in Table 5. These results highlight the distribution of different sociodemographic, anthropometric, and behavioral variables across the identified clusters, indicating significant variations among the clusters in terms of these variables. The percentages represent the prevalence of each class within the respective clusters, and the p-values indicate the significance of the association between the variables and cluster membership. A significant difference exists in cluster representation between Portugal and France. France had more participants in Cluster 1, whereas Clusters 2 and 3 were predominantly composed of individuals from Portugal. Age groups and BMI categories did not show significant differences across the clusters, suggesting that age and BMI might not strongly influence knowledge levels regarding fruits and vegetables within these clusters. Gender and education level are significantly linked to cluster membership. Cluster 1 had more females and participants with higher education (university studies), indicating higher knowledge levels in these groups. In contrast males and those with lower education (high school), are more prevalent in Clusters 2 and 3. While not statistically significant, students tended to be more represented in Cluster 1, indicating higher knowledge levels among students. Participants reporting a more frequent varied diet were more present in Clusters 1 and 3, suggesting a possible link between dietary habits and knowledge levels. Moreover, those dissatisfied with their body weight, especially due to being overweight, were more represented in Cluster 1, suggesting a potential association between dissatisfaction and higher knowledge levels about fruits and vegetables.
No significant associations were found between cluster membership and physical exercise frequency or global health status, indicating these factors might not strongly influence knowledge about fruits and vegetables among these clusters.

4. Discussion

As far as we know, this is the first study to contrast knowledge regarding fruits and vegetables in France and Portugal. However, it is known that these two nations share analogous food and eating cultures [38]. This paper, involving participants from Portugal and France, reports differences in knowledge regarding the importance of consuming fruits and vegetables in the diet. Furthermore, a relationship between knowledge of fruits and vegetables and sociodemographic and behavioral variables was identified in the studied group. The results provide a comprehensive overview of the sociodemographic characteristics of the study’s participants from Portugal and France. Several key findings can be highlighted.
Most of the participants were young (18–25 years old). The distribution was relatively balanced between the two countries. A higher percentage of female participants was observed in the global sample, with an even higher representation of women in the French sample than in the Portuguese. This prevalence of women has already been documented in other studies [39,40]. Moreover, the respondents presented a high level of education, with a significant proportion of participants identified as students across the global sample, with relatively similar percentages between the French and Portuguese participants. It is worth noting that over three-quarters of participants were either graduates or were attending a university degree course, with consistent percentages across both countries. The demographics of this study are consistent with many trends observed in previous research [41].
A significant proportion of participants reported dissatisfaction with their body weight. This finding is consistent with research by Piryankova and coworkers [42], where many adults expressed dissatisfaction with their body weight and shape. The study further highlights that Portuguese participants exhibited a higher rate of dissatisfaction in comparison to the global sample. The primary reason for this dissatisfaction was excess weight, notably high among the French participants. These data reflect the common concern of weight management and body image among young adults, as explored in the study by Divecha et al. [43]. Despite this dissatisfaction, results indicate a low level of physical exercise among participants, with around one-fifth reporting never engaging in physical activity and about one-third doing it only once a week. This pattern is more pronounced among the French participants.
In the present study, only a quarter of the participants confirmed always following a varied diet. French participants tended to have a higher frequency of practicing a varied diet than the Portuguese. Our results follow those of Entrena-Durán and coworkers [44] regarding the self-perception of healthy eating in Spanish university students. The overall self-reported health status of the participants was generally good, with more than half reporting good health. The Portuguese participants had a slightly higher self-reported reasonable health rate than the French. These results for Portuguese participants are in alignment with data from the Portuguese National Institute of Statistics (INE) publication titled “Income and Living Conditions State of Health 2021”, where individuals with complete secondary or post-secondary education and higher education recorded the highest proportions of positively assessing their health status [45]. It is important to note that a health gap based on educational attainment levels is evident in nearly all EU member states [46,47]. Considering that our respondents were either graduates or attending a university degree course, our results are consistent with this trend. The study noted a relatively low prevalence of major chronic diseases, including cardiovascular diseases, diabetes, obesity, and hypercholesterolemia. However, chronic noncommunicable diseases are one of the most recurrent issues in public health in Portugal [48]. The fact that the participants were young might be responsible for the relatively lower burden of these diseases than in the general population. In contrast, constipation exhibited a higher prevalence, affecting approximately one-tenth of the participants. This finding is of interest, as constipation can be indicative of various factors, including dietary habits, lifestyle, and gastrointestinal health [49].
In the present work, the knowledge about fruits and vegetables was evaluated by a score obtained from the participants’ responses to several statements about the health benefits associated with consuming vegetables and fruits. Globally, all the respondents presented excellent knowledge about health. Results evidence a disparity in the depth of knowledge among participants regarding various health-related aspects of fruits and vegetables. The assessed sample possessed a relatively high level of knowledge concerning the health benefits associated with consuming fruits and vegetables, particularly related to cellular protection and micronutrient content. However, they had a lower level of knowledge regarding the protective effects of certain vegetables against cancer and the potentially irritating effects of some fruits and vegetables on the intestine. This could be because studies linking nutrients and bioactive compounds to health benefits are currently aimed at developing strategies to increase the market polyphenols content in fruits and vegetables for consumers [50]. Considering the respondents were young and emphasized access to the internet to seek information about foods [51], they might attribute more importance to the protective action displayed by the composition of fruits and vegetables than their effects on different diseases, despite these effects being well documented [52,53].
Participants from France exhibited a higher level of knowledge than those from Portugal. France implemented in 2001 the National Nutrition and Health Program (Programme National Nutrition Santé [PNNS]), whose main goal was to improve the health status of the population via nutrition measures [54]. Fruit and vegetables are targeted by one of the nine nutrition priority goals specified in the Programme National Nutrition Santé for 2001–2010 [55]; Portugal has only taken significant steps toward implementing a food and nutrition policy in recent years. The government of Portugal has implemented the Integrated Strategy for the Promotion of Healthy Eating (EIPAS), along with regulatory policies to encourage citizens to make healthier food choices [56]). This has been supported by several communication campaigns and educational materials to raise awareness. However, as documented in the present work, the Portuguese respondents still lack complete knowledge of fruits and vegetables, indicating that there is still work to be done. Despite the promotion of the benefits of fruits and vegetables and their wide availability, the daily consumption of these foods by the adult population in Portugal is still below the recommended levels [56].
Considering that there is a positive link between nutrition knowledge and dietary intake [57], based on our results, we might presume that the French population consumed more fruits and vegetables than the Portuguese. According to EUROSTAT (2019) data, France is one of the four European countries with a higher consumption of vegetables and fruits compared to Portugal. The data shows that 20% of the French population aged 15 years and above consume vegetables and fruits, while only 12% of the Portuguese do so [58]. Even though the Portuguese and French present the same eating culture [59], the French population is more prone to consume vegetables than the Portuguese. Over 60% of the French consumed vegetables at least once daily, against 40% of the Portuguese [60]. Due to a scarcity of epidemiologic studies characterizing, measuring, and analyzing the cultural and environmental imprints in either country, the extent to which these factors impact fruit and vegetable consumption still needs to be seen. This scarcity is primarily due to the need for defined metrics measuring culture accurately. Therefore, until such metrics are identified, our understanding of the influences on vegetable and fruit consumption in the EU remains incomplete.
Sociodemographic factors have been demonstrated to impact the understanding of the benefits of consuming vegetables and fruits. In our study, female participants exhibited a higher level of knowledge than male participants, confirming sex-related differences in knowledge of fruits and vegetables [41,61]. Women are often associated with concerns about their appearance and tend to adopt a more health-conscious approach to eating [62,63].
Education is another factor impacting the knowledge of fruits and vegetables. Individuals with higher educational attainment had a deeper understanding of the topic, as was found by other studies [64,65]. Consequently, initiatives in public health targeting improved health literacy, particularly among those with lower educational backgrounds, could promote food knowledge and healthier dietary habits in the broader population.
Participants who were not satisfied with their current body weight and those who believed they were overweight showed a higher level of knowledge. This could indicate that those dissatisfied with their weight were more inclined to seek information about nutrition, including the benefits of consuming fruits and vegetables. However, this is not reflected in the higher consumption of fruits and vegetables, as recently related in a study involving overweight and obese people in the general population between 18 and 65 years old in Türkiye [66]. Previously, a Shelton and coworkers’ study has already related higher BMI to the underconsumption of vegetables in resident adults living in the United States [67]. Research highlights the role of knowledge concerning the capability to eat healthily or enough fruits and vegetables [68]. In our sample, people who know more about vegetables and fruits tend to eat better, adopting a more varied diet. Although this concept may seem obvious, it is not always straightforward and has only been confirmed in some studies. Barbosa and coworkers [69] found that having a high level of nutritional knowledge can impact the adoption of healthy eating habits, but it is not always directly related to body weight.
Findings from our study described herein were in accordance with the main objectives of the present work. Therefore, measures helping consumers obtain nutritional literacy are essential, because those who are more knowledgeable about fruits and vegetables and the health benefits associated with their consumption are significantly more likely to accept an increase in the consumption of these food groups. A study carried out by Speirs et al. showed that adult individuals with a low level of nutritional literacy present a lower predisposition to read food labels and to consume the recommended daily amount of fruits and vegetables [70].
Several limitations should be addressed. It is important to note that data collection occurred through online questionnaires, and the absence of the researcher during the respondents’ completion of the questionnaire may have led to uncertainties remaining unaddressed. Additionally, there is a potential for responses to be less authentic, as participants might have opted for what they perceived as the “correct” answer rather than their true sentiments.
The sample size, although reasonable in number, needs to fully represent young adults, preventing a genuine generalization of the results. Furthermore, there is an imbalance between the group sizes in the two countries, yet both groups exhibited similar trends and had a lower number of adults and older adults. Understandably, interpreting results for these minority groups is inherently limited, precluding generalization—a significant limitation.
Moreover, because of the specific focus and time constraints of the French study, no validation of the French translation of the questionnaires was performed. Regarding the empirical study framed as a cross-sectional correlational analytical research type, methodological constraints arise due to the evaluations occurring at a single “moment” without a follow-up period for participants. However, this study format offers advantages such as expediency, cost-effectiveness, logistical simplicity, and avoidance of issues associated with loss of follow-up, as seen in longitudinal studies. Despite these limitations, the obtained results contribute to increased knowledge.
Considering all the above, it is time to emphasize the usefulness of the data found in the present study. The findings contribute to the existing literature by providing insights into the variations in knowledge, attitudes, and behaviors related to these dietary components across two culturally similar yet distinct nations. The positive link between nutrition knowledge and dietary intake is highlighted in the study. Individuals with a deeper understanding of fruits and vegetables exhibit better dietary habits, supporting that knowledge influences food choices and consumption patterns. The study reinforces the impact of sociodemographic factors, such as age, gender, and education, on individuals’ knowledge of fruits and vegetables. It aligns with the existing literature highlighting sex-related differences and the influence of education on nutritional knowledge, as extensively explained above. Moreover, some practical consequences might be found, mainly considering country-specific nutrition literacy interventions. As evidenced in the study, Portugal may benefit from initiatives to enhance public understanding of the importance of fruits and vegetables. For instance, developing mobile apps that provide information on the nutritional value, recipes, and benefits of various fruits and vegetables is an idea. It can help people make informed decisions about what they eat and encourage them to incorporate more fruits and vegetables into their diet. Supportive policies like subsidies for fresh produce and community gardens can also effectively promote healthy eating habits. It would be good to see policymakers working towards this goal. Integrating nutritional education into public health programs can also be an excellent way to encourage people to make healthier food choices. Another idea is partnering with companies to incorporate nutritional education and initiatives promoting fruit and vegetable consumption into workplace wellness programs. This measure can help employees make healthier choices, leading to a more productive and healthier workforce. Findings also related dissatisfaction with body weight with higher knowledge levels. Consequently, educational interventions can focus on individuals dissatisfied with their weight, emphasizing the role of a balanced and varied diet in achieving health goals. Additionally, the low percentage of participants reporting following a varied diet indicates room for improvement. Educational campaigns can emphasize the importance of diverse food choices, potentially impacting dietary behaviors. Finally, the study identifies a low level of physical exercise, particularly among the French participants, suggesting the need to incorporate strategies to promote physical activity alongside nutritional education.

5. Conclusions

In short, this pioneering study provides valuable insights into the knowledge disparities regarding fruits and vegetables between France and Portugal, revealing associations with various sociodemographic and behavioral factors. The findings reinforce the need for targeted educational interventions to improve nutrition literacy, especially among lower-awareness demographic groups. To further emphasize the practical implications of our study, particularly for Portugal, we propose country-specific nutrition literacy interventions. For instance, developing mobile apps providing information on nutritional value, recipes, and the benefits of fruits and vegetables can empower individuals to make informed decisions. Supportive policies, such as subsidies for fresh produce and community gardens, can promote healthy eating habits. In light of the dissatisfaction with body weight correlating with higher knowledge levels, we advocate for educational interventions targeting individuals dissatisfied with their weight. Emphasizing the role of a balanced and varied diet in achieving health goals can be pivotal. Additionally, the low percentage of participants reporting a varied diet indicates a need for improvement. We suggest educational campaigns emphasizing diverse food choices to impact dietary behaviors positively. Lastly, the study identifies a low level of physical exercise, particularly among French participants. We recommend incorporating strategies promoting physical activity alongside nutritional education to address lifestyle factors comprehensively.
Despite some data collection and representation limitations, this research helps improve our understanding of factors influencing vegetable and fruit consumption knowledge in young adults from these regions. Moving forward, a deeper exploration of these factors could aid in developing more effective strategies to promote healthier dietary habits and nutrition literacy among diverse populations.

Author Contributions

Conceptualization, R.P.F.G.; methodology, R.P.F.G. and E.T.-L.; software, R.P.F.G.; validation, R.P.F.G.; formal analysis, R.P.F.G.; investigation, N.L.T., A.J.S., E.T.-L. and R.P.F.G.; resources, R.P.F.G. and E.T.-L.; data curation, R.P.F.G.; writing—original draft preparation, R.P.F.G., S.G.F., J.C.G., E.T.-L. and M.J.L.; A.R. writing—review and editing, R.P.F.G.; visualization, R.P.F.G. and S.G.F.; supervision, R.P.F.G.; project administration, R.P.F.G.; funding acquisition, R.P.F.G., J.C.G., A.R., E.T.-L. and M.J.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the FCT—Foundation for Science and Technology (Portugal) through project Ref. UIDB/00681/2020. The APC was funded by FCT through project Ref. UIDB/00681/2020.

Institutional Review Board Statement

The Polytechnic University of Viseu Ethics Committee approved ethical aspects for this study. Assessment No. 10/SUB/2020 on 18 November 2020.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are available from the corresponding author, upon reasonable request. The data are not publicly available due to privacy.

Acknowledgments

This work was originated through ERASMUS students’ interchange and in the ambit of the Curricular Unit of Projects within the course on Food Quality and Nutrition of Agrarian School of the Polytechnic University of Viseu. Furthermore, we would like to thank the FCT CERNAS Research Center and the Polytechnic University of Viseu for their support.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. FAO. Fruit and Vegetables—Your Dietary Essentials: The International Year of Fruits and Vegetables, 2021, Background Paper; FAO: Rome, Italy, 2020; ISBN 978-92-5-133709-7. [Google Scholar]
  2. Ishihara, J.; Umesawa, M.; Okada, C.; Kokubo, Y.; Iso, H. Relationship Between Vegetables and Fruits (Antioxidant Vitamins, Minerals, and Fiber) Intake and Risk of Cardiovascular Disease. In Reference Module in Biomedical Sciences; Elsevier: Amsterdam, The Netherlands, 2017; ISBN 978-0-12-801238-3. [Google Scholar]
  3. Mozaffari, H.; Lafrenière, J.; Conklin, A. Does Eating More Variety of Fruits and Vegetables Reduce Risk of Cancer? Findings from a Systematic Review and Meta-Analysis. Curr. Dev. Nutr. 2020, 4, nzaa044_038. [Google Scholar] [CrossRef]
  4. Dominguez, L.J.; Veronese, N.; Di Bella, G.; Cusumano, C.; Parisi, A.; Tagliaferri, F.; Ciriminna, S.; Barbagallo, M. Mediterranean Diet in the Management and Prevention of Obesity. Exp. Gerontol. 2023, 174, 112121. [Google Scholar] [CrossRef] [PubMed]
  5. Garcia, M.; Bihuniak, J.; Shook, J.; Kenny, A.; Kerstetter, J.; Huedo-Medina, T. The Effect of the Traditional Mediterranean-Style Diet on Metabolic Risk Factors: A Meta-Analysis. Nutrients 2016, 8, 168. [Google Scholar] [CrossRef] [PubMed]
  6. Murray, C.J.L.; Aravkin, A.Y.; Zheng, P.; Abbafati, C.; Abbas, K.M.; Abbasi-Kangevari, M.; Abd-Allah, F.; Abdelalim, A.; Abdollahi, M.; Abdollahpour, I.; et al. Global Burden of 87 Risk Factors in 204 Countries and Territories, 1990–2019: A Systematic Analysis for the Global Burden of Disease Study 2019. Lancet 2020, 396, 1223–1249. [Google Scholar] [CrossRef]
  7. Schwingshackl, L.; Schwedhelm, C.; Galbete, C.; Hoffmann, G. Adherence to Mediterranean Diet and Risk of Cancer: An Updated Systematic Review and Meta-Analysis. Nutrients 2017, 9, 1063. [Google Scholar] [CrossRef] [PubMed]
  8. Keller, I.; Tukuitonga, C. The Who/Fao Fruit and Vegetable Promotion Initiative. Acta Hortic. 2007, 744, 27–37. [Google Scholar] [CrossRef]
  9. Mahan, L.K.; Raymond, J.L. (Eds.) Krause’s Food & the Nutrition Care Process, 14th ed.; Elsevier: St. Louis, MO, USA, 2017; ISBN 978-0-323-34075-5. [Google Scholar]
  10. Lichtenstein, A.H.; Appel, L.J.; Vadiveloo, M.; Hu, F.B.; Kris-Etherton, P.M.; Rebholz, C.M.; Sacks, F.M.; Thorndike, A.N.; Van Horn, L.; Wylie-Rosett, J.; et al. 2021 Dietary Guidance to Improve Cardiovascular Health: A Scientific Statement From the American Heart Association. Circulation 2021, 144, e472–e487. [Google Scholar] [CrossRef]
  11. Frehner, A.; Zanten, H.H.E.V.; Schader, C.; Boer, I.J.M.D.; Pestoni, G.; Rohrmann, S.; Muller, A. How Food Choices Link Sociodemographic and Lifestyle Factors with Sustainability Impacts. J. Clean. Prod. 2021, 300, 126896. [Google Scholar] [CrossRef]
  12. Sultanbawa, Y.; Sivakumar, D. Enhanced Nutritional and Phytochemical Profiles of Selected Underutilized Fruits, Vegetables, and Legumes. Curr. Opin. Food Sci. 2022, 46, 100853. [Google Scholar] [CrossRef]
  13. Pelau, C.; Sarbu, R.; Serban, D. Cultural Influences on Fruit and Vegetable Food-Wasting Behavior in the European Union. Sustainability 2020, 12, 9685. [Google Scholar] [CrossRef]
  14. Ye, T.; Mattila, A.S. The Impact of Environmental Messages on Consumer Responses to Plant-Based Meat: Does Language Style Matter? Int. J. Hosp. Manag. 2022, 107, 103298. [Google Scholar] [CrossRef]
  15. Suhartanto, D.; Kartikasari, A.; Arsawan, I.W.E.; Suhaeni, T.; Anggraeni, T. Driving Youngsters to Be Green: The Case of Plant-Based Food Consumption in Indonesia. J. Clean. Prod. 2022, 380, 135061. [Google Scholar] [CrossRef]
  16. Marcus, J.B. Culinary Nutrition: The Science and Practice of Healthy Cooking; Elsevier: Amsterdam, The Netherlands; Academic Press: Boston, MA, USA, 2013; ISBN 978-0-12-391882-6. [Google Scholar]
  17. World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013–2020; World Health Organization: Geneva, Switzerland, 2013; ISBN 978-92-4-150623-6. [Google Scholar]
  18. De Andrade, J.C.; Galvan, D.; Kato, L.S.; Conte-Junior, C.A. Consumption of Fruits and Vegetables Contaminated with Pesticide Residues in Brazil: A Systematic Review with Health Risk Assessment. Chemosphere 2023, 322, 138244. [Google Scholar] [CrossRef] [PubMed]
  19. Mente, A.; Dehghan, M.; Rangarajan, S.; O’Donnell, M.; Hu, W.; Dagenais, G.; Wielgosz, A.; Lear, S.A.; Wei, L.; Diaz, R.; et al. Diet, Cardiovascular Disease, and Mortality in 80 Countries. Eur. Heart J. 2023, 44, 2560–2579. [Google Scholar] [CrossRef] [PubMed]
  20. Lopes, C.; Torres, D.; Oliveira, A.; Severo, M.; Guiomar, S.; Alarcão, V.; Ramos, E.; Rodrigues, S.; Vilela, S.; Oliveira, L.; et al. National Food, Nutrition, and Physical Activity Survey of the Portuguese General Population (2015–2016): Protocol for Design and Development. JMIR Res. Protoc. 2018, 7, e42. [Google Scholar] [CrossRef] [PubMed]
  21. Delamaire, C.; Escalon, E.; Noirot, L. Recommendations Concerning Diet, Physical Activity and Sedentary Behaviour for Adults; Santé Publique France: Paris, France, 2019; p. 62. [Google Scholar]
  22. Torres, M.; Salanave, B.; Verdot, C.; Deschamps, V. Adéquation Aux Nouvelles Recommandations Alimentaires Des Adultes Âgés de 18 à 54 Ans Vivant En France: Étude Esteban 2014–2016. Volet Nutrition—Surveillance Épidémiologique; Santé Publique FInstituto Srance (SPF): Paris, France, 2019. [Google Scholar]
  23. Ferrão, A.C.; Guiné, R.P.F.; Correia, P.M.R. Study of Consumer Acceptance About the Possible Commercialization of a Cheese with Berries. Curr. Nutr. Food Sci. 2019, 15, 185–195. [Google Scholar] [CrossRef]
  24. Huang, D.; Huang, Y.; Khanna, S.; Dwivedi, P.; Slopen, N.; Green, K.M.; He, X.; Puett, R.; Nguyen, Q. Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample. JMIR Public. Health Surveill. 2020, 6, e17969. [Google Scholar] [CrossRef]
  25. Maroco, J. Análise Estatística Com o SPSS Statistics, 6th ed.; ReportNumber: Pêro Pinheiro, Portugal, 2014; ISBN 978-989-96763-4-3. [Google Scholar]
  26. Guiné, R.P.F.; Florença, S.G.; Anjos, O.; Boustani, N.M.; Chuck-Hernández, C.; Sarić, M.M.; Ferreira, M.; Costa, C.A.; Bartkiene, E.; Cardoso, A.P.; et al. Are Consumers Aware of Sustainability Aspects Related to Edible Insects? Results from a Study Involving 14 Countries. Sustainability 2022, 14, 14125. [Google Scholar] [CrossRef]
  27. Guiné, R.P.F.; Florença, S.G.; Ferrão, A.C.; Bizjak, M.Č.; Vombergar, B.; Simoni, N.; Vieira, V. Factors Affecting Eating Habits and Knowledge of Edible Flowers in Different Countries. Open Agric. 2021, 6, 67–81. [Google Scholar] [CrossRef]
  28. Broen, M.P.G.; Moonen, A.J.H.; Kuijf, M.L.; Dujardin, K.; Marsh, L.; Richard, I.H.; Starkstein, S.E.; Martinez–Martin, P.; Leentjens, A.F.G. Factor Analysis of the Hamilton Depression Rating Scale in Parkinson’s Disease. Park. Relat. Disord. 2015, 21, 142–146. [Google Scholar] [CrossRef]
  29. Kaiser, H.F.; Rice, J. Little Jiffy, Mark Iv. Educ. Psychol. Meas. 1974, 34, 111–117. [Google Scholar] [CrossRef]
  30. Stevens, J. Applied Multivariate Statistics for the Social Sciences, 5th ed.; Routledge: New York, NY, USA, 2009; ISBN 978-0-8058-5901-0. [Google Scholar]
  31. Rohm, A.J.; Swaminathan, V. A Typology of Online Shoppers Based on Shopping Motivations. J. Bus. Res. 2004, 57, 748–757. [Google Scholar] [CrossRef]
  32. Tanaka, K.; Akechi, T.; Okuyama, T.; Nishiwaki, Y.; Uchitomi, Y. Development and Validation of the Cancer Dyspnoea Scale: A Multidimensional, Brief, Self-Rating Scale. Br. J. Cancer 2000, 82, 800–805. [Google Scholar] [CrossRef]
  33. Hair, J.F. (Ed.) Multivariate Data Analysis, 7th ed.; Prentice Hall: Upper Saddle River, NJ, USA, 2010; ISBN 978-0-13-813263-7. [Google Scholar]
  34. Maroco, J.; Garcia-Marques, T. Qual a Fiabilidade do Alfa de Cronbach? Questões Antigas e Soluções Modernas? Instituto Superior de Psicologia Aplicada: Lisboa, Portugal, 2006; pp. 65–90. [Google Scholar]
  35. Davis, F.B. Educational Measurements and Their Interpretation; Wadsworth Publishing Company: San Francisco, CA, USA, 1964. [Google Scholar]
  36. Dolnicar, S. A Review of Data-Driven Market Segmentation in Tourism. J. Travel. Tour. Mark. 2002, 12, 1–22. [Google Scholar] [CrossRef]
  37. Witte, R.S.; Witte, J.S. Statistics; Wiley: Hoboken, NJ, USA, 2009; ISBN 978-0-470-39222-5. [Google Scholar]
  38. Elmadfa, I.; Freisling, H. Nutritional Status in Europe: Methods and Results. Nutr. Rev. 2009, 67, S130–S134. [Google Scholar] [CrossRef]
  39. Burriel, F.C.; García, C.V.; Tobarra, M.M.; Urrea, R.S.; Meseguer, M.J.C. Hábitos alimentarios y evaluación nutricional en una población. Nutr. Hosp. 2013, 28, 438–446. [Google Scholar] [CrossRef]
  40. de-Mateo-Silleras, B.; de-la-Cruz-Marcos, S.; Alonso-Izquierdo, L.; Camina-Martín, M.A.; Marugán-de-Miguelsanz, J.M.; Redondo-del-Río, M.P. Bioelectrical Impedance Vector Analysis in Obese and Overweight Children. PLoS ONE 2019, 14, e0211148. [Google Scholar] [CrossRef]
  41. Albrahim, T.; Alsalaan, R.; Alhusan, S.I.; Alrasheedi, K.R.; Aldosari, H.A.; Albarqi, H.M. Exploring the Association between Nutritional Knowledge and Fruit and Vegetable Consumption among Young Adults: A Cross-Sectional Study. Curr. Res. Nutr. Food Sci. J. 2023, 11, 617–626. [Google Scholar] [CrossRef]
  42. Piryankova, I.V.; Wong, H.Y.; Linkenauger, S.A.; Stinson, C.; Longo, M.R.; Bülthoff, H.H.; Mohler, B.J. Owning an Overweight or Underweight Body: Distinguishing the Physical, Experienced and Virtual Body. PLoS ONE 2014, 9, e103428. [Google Scholar] [CrossRef]
  43. Divecha, C.A.; Simon, M.A.; Asaad, A.A.; Tayyab, H. Body Image Perceptions and Body Image Dissatisfaction among Medical Students in Oman. Sultan Qaboos Univ. Med. J. 2021, 22, 218–224. [Google Scholar] [CrossRef]
  44. Entrena-Durán, F.; Baldan-Lozano, H.; Valdera-Gil, J.-M. Students’ Knowledge of Healthy Food and Their Actual Eating Habits: A Case Study on the University of Granada (Spain). Front. Sustain. Food Syst. 2021, 5, 687574. [Google Scholar]
  45. Instituto Nacional de Estatística. Inquérito Às Condições de Vida e Rendimento 2021; Instituto Nacional de Estatística: Lisboa, Portugal, 2021. [Google Scholar]
  46. Albert, C.; Davia, M.A. Education Is a Key Determinant of Health in Europe: A Comparative Analysis of 11 Countries. Health Promot. Int. 2011, 26, 163–170. [Google Scholar] [CrossRef] [PubMed]
  47. Kassas, P.; Gogou, E.; Varsamas, C.; Vogiatzidis, K.; Psatha, A.; Pinaka, M.; Siachpazidou, D.; Sistou, A.; Papazoglou, E.D.; Kalousi, D.; et al. The Alonissos Study: Cross-Sectional Study of the Healthcare Access and User Satisfaction in the Community of a Non-Profit-Line Greek Island. Healthcare 2023, 11, 1931. [Google Scholar] [CrossRef]
  48. Graça, P.; Gregório, M.J.; Freitas, M.d.G. A Decade of Food and Nutrition Policy in Portugal (2010–2020). Port. J. Public. Health 2020, 38, 94–118. [Google Scholar] [CrossRef]
  49. Barberio, B.; Judge, C.; Savarino, E.V.; Ford, A.C. Global Prevalence of Functional Constipation According to the Rome Criteria: A Systematic Review and Meta-Analysis. Lancet Gastroenterol. Hepatol. 2021, 6, 638–648. [Google Scholar] [CrossRef] [PubMed]
  50. Pérez-Jiménez, J.; Saura-Calixto, F. Macromolecular Antioxidants or Non-Extractable Polyphenols in Fruit and Vegetables: Intake in Four European Countries. Food Res. Int. 2015, 74, 315–323. [Google Scholar] [CrossRef]
  51. Liao, L.-L.; Lai, I.-J.; Chang, L.-C. Nutrition Literacy Is Associated with Healthy-Eating Behaviour among College Students in Taiwan. Health Educ. J. 2019, 78, 756–769. [Google Scholar] [CrossRef]
  52. Hurtado-Barroso, S.; Trius-Soler, M.; Lamuela-Raventós, R.M.; Zamora-Ros, R. Vegetable and Fruit Consumption and Prognosis Among Cancer Survivors: A Systematic Review and Meta-Analysis of Cohort Studies. Adv. Nutr. 2020, 11, 1569–1582. [Google Scholar] [CrossRef]
  53. Bradbury, K.E.; Appleby, P.N.; Key, T.J. Fruit, Vegetable, and Fiber Intake in Relation to Cancer Risk: Findings from the European Prospective Investigation into Cancer and Nutrition (EPIC). Am. J. Clin. Nutr. 2014, 100, 394S–398S. [Google Scholar] [CrossRef]
  54. Hercberg, S.; Chat-Yung, S.; Chaulia, M. The French National Nutrition and Health Program: 2001–2006–2010. Int. J. Public. Health 2008, 53, 68–77. [Google Scholar] [CrossRef]
  55. Beer-Borst, S.; Hercberg, S.; Morabia, A.; Bernstein, M.S.; Galan, P.; Galasso, R.; Giampaoli, S.; McCrum, E.; Panico, S.; Preziosi, P.; et al. Dietary Patterns in Six European Populations: Results from EURALIM, a Collaborative European Data Harmonization and Information Campaign. Eur. J. Clin. Nutr. 2000, 54, 253–262. [Google Scholar] [CrossRef] [PubMed]
  56. Graça, P.; Gregório, M.J.; de Sousa, S.M.; Carriço, J.; Correia, A.; Salvador, C. The Portuguese National Programme for the Promotion of Healthy Eating: 2012–2015. Public. Health Panorama 2016, 2, 184–195. [Google Scholar]
  57. Spronk, I.; Kullen, C.; Burdon, C.; O’Connor, H. Relationship between Nutrition Knowledge and Dietary Intake. Br. J. Nutr. 2014, 111, 1713–1726. [Google Scholar] [CrossRef] [PubMed]
  58. How Much Fruit and Vegetables Do You Eat Daily? Available online: https://ec.europa.eu/eurostat/web/products-eurostat-news/-/ddn-20220104-1 (accessed on 30 December 2023).
  59. Gerber, M. Implementing the Mediterranean Diet: A French Perspective and Comparisons with Other Mediterranean Countries. In Mediterranean Diet: Dietary Guidelines and Impact on Health and Disease; Romagnolo, D.F., Selmin, O.I., Eds.; Nutrition and Health; Springer International Publishing: Cham, Switzerland, 2016; pp. 57–67. ISBN 978-3-319-27969-5. [Google Scholar]
  60. Direção-Geral da Saúde. Programa Nacional Para a Promoção Da Alimentação Saudável 2022–2030; Direção-Geral da Saúde: Lisboa, Portugal, 2022. [Google Scholar]
  61. Hill, C.R.; Blekkenhorst, L.C.; Radavelli-Bagatini, S.; Sim, M.; Woodman, R.J.; Devine, A.; Shaw, J.E.; Hodgson, J.M.; Daly, R.M.; Lewis, J.R. Fruit and Vegetable Knowledge and Intake within an Australian Population: The AusDiab Study. Nutrients 2020, 12, 3628. [Google Scholar] [CrossRef]
  62. Oviedo-Solís, C.I.; Hernández-Alcaraz, C.; Sánchez-Ortíz, N.A.; López-Olmedo, N.; Jáuregui, A.; Barquera, S. Association of Sociodemographic and Lifestyle Factors with Dietary Patterns among Men and Women Living in Mexico City: A Cross-Sectional Study. Front. Public. Health 2022, 10, 859132. [Google Scholar] [CrossRef]
  63. Chambers, S.; Lobb, A.; Butler, L.T.; Traill, W.B. The Influence of Age and Gender on Food Choice: A Focus Group Exploration. Int. J. Consum. Stud. 2008, 32, 356–365. [Google Scholar] [CrossRef]
  64. Butcher, L.M.; Platts, J.R.; Le, N.; McIntosh, M.M.; Celenza, C.A.; Foulkes-Taylor, F. Can Addressing Food Literacy across the Life Cycle Improve the Health of Vulnerable Populations? A Case Study Approach. Health Prom. J. Aust. 2021, 32, 5–16. [Google Scholar] [CrossRef]
  65. Scalvedi, M.L.; Gennaro, L.; Saba, A.; Rossi, L. Relationship Between Nutrition Knowledge and Dietary Intake: An Assessment Among a Sample of Italian Adults. Front. Nutr. 2021, 8, 714493. [Google Scholar] [CrossRef]
  66. Hizli-Guldemir, H.; Saleki, N.; Sezer, F.E.; Yoldas-Ilktac, H.; Akman, C.; Ersoy, G.; Garipagaoglu, M. Vegetable and Fruit Consumption and Its Relationship with Body Mass Index in Adults: A Cross-Sectional and Seasonal Research from Türkiye. Int. J. Environ. Health Res. 2023, 33, 1168–1179. [Google Scholar] [CrossRef]
  67. Shelton, J.F.; Cameron, B.; Aslibekyan, S.; Gentleman, R. Demographic, Spatial and Temporal Dietary Intake Patterns among 526 774 23andMe Research Participants. Public. Health Nutr. 2021, 24, 2952–2963. [Google Scholar] [CrossRef]
  68. Godinho, C.A.; Carvalho, J.; Lima, M.L. Promoting Healthy Eating: A Brief Review of Predictors and Interventions. Transcult. Rev. Semest. Assoc. Port. Psicol. Psiquiatr. 2014, VI, 30–52. [Google Scholar]
  69. Barbosa, L.B.; Vasconcelos, S.M.L.; Correia, L.O.d.S.; Ferreira, R.C. Nutrition Knowledge Assessment Studies in Adults: A Systematic Review. Cien Saude Colet. 2016, 21, 449–462. [Google Scholar] [CrossRef]
  70. Speirs, K.; Messina, L.; Munger, A.; Grutzmacher, S. Health Literacy and Nutrition Behaviors among Low-Income Adults. J. Health Care Poor Underserved 2012, 23, 1082–1091. [Google Scholar] [CrossRef]
Table 1. Sociodemographic, nutritional status, and behavioral characterization of the participants.
Table 1. Sociodemographic, nutritional status, and behavioral characterization of the participants.
VariablesClassesPortugal
[N = 257]
n (%) 1		France
[N = 382]
n (%) 1		Global
[N = 639]
n (%) 1
AgeYoung adults (18–25 y)181 (70.4)248 (64.9)429 (67.1)
Adults (26–55 y)65 (25.3)90 (23.6)155 (24.3)
Senior adults (56 y or over)11 (4.3)44 (11.5)55 (8.6)
SexFemale150 (58.4)290 (75.9)440 (68.9)
Male107 (41.6)92 (24.1)199 (31.1)
OccupationStudent182 (70.8)233 (61.0)415 (64.9)
Employed66 (25.7)105 (27.5)171 (26.8)
Other9 (3.5)44 (11.5)53 (8.3)
EducationHigh school61 (23.7)90 (23.6) 151 (23.6)
University studies196 (76.3)292 (76.4)488 (76.4)
BMI 2Underweight (BMI < 18.5 kg/m2)37 (15.2)26 (7.0)63 (10.2)
Normal weight (18.5 < BMI ≤ 25.0 kg/m2)165 (67.9)250 (67.0)415 (67.4)
Overweight (25.0 < BMI ≤ 30.0 kg/m2)29 (11.9)77 (20.6)106 (17.2)
Obesity (BMI ≥ 30.0 kg/m2)12 (5.0)20 (5.4)32 (5.2)
Satisfaction with body weightYes75 (29.2)160 (41.9)235 (36.8)
No182 (70.8)222 (58.1)434 (63.2)
Reason for dissatisfactionLow weight82 (52.9)38 (23.2)120 (37.6)
Overweight50 (32.3)116 (70.7)166 (52.0)
Obesity23 (14.8)10 (6.1)33 (10.4)
Physical exerciseNever44 (17.1)91 (23.8)135 (21.1)
Once/week91 (35.4)142 (37.2)233(36.5)
2–3 times/week90 (35.0)100 (26.2)190 (29.7)
More than 3 times/week32 (12.5)49 (12.8)81 (12.7)
Varied dietNever4 (1.5)12 (3.1)16 (2.5)
Sometimes128 (49.8)127 (33.3)255 (39.9)
Several times/week66 (25.7)146 (38.2)212 (33.2)
Always59 (23.0)97 (25.4)156 (24.4)
Global health statusExcellent13 (5.7)42 (11.8)55 (9.4)
Good146 (64.0)204 (57.1)350 (59.8)
Reasonable65 (28.5)95 (26.6)160 (27.4)
Inadequate4 (1.8)16 (4.5)20 (3.4)
1 n (%) = number of participants (Percentage); 2 BMI = Body Mass Index.
Table 2. Number of patients reporting health problems.
Table 2. Number of patients reporting health problems.
Sample Diabetes
n (%)		Obesity
n (%)		Cardiovascular Diseases
n (%)		Hypercholesterolemia
n (%) 		Constipation
n (%)		Cancer
n (%)
PortugalYes18 (7.0)18 (7.0)12 (4.7)23 (8.9)21 (8.2)10 (3.9)
No228 (88.7)223 (86.8)228 (88.7)215 (83.7)217 (84.4)234 (91.0)
I don’t know9 (3.5)13 (7.4)13 (7.4)12 (4.7)11 (4.3)9 (3.5)
Don’t want to answer2 (0.8)3 (1.2)4 (1.6)7 (2.7)8 (3.11)4 (1.6)
FranceYes7 (1.8)19 (5.0)7 (1.8)16 (4.2)48 (12.6)2 (0.5)
No368 (96.3)357 (93.5)363 (95.0)351 (92.0)331 (86.7)371 (97.1)
I don’t know5 (1.3)5 (1.3)11 (2.9)13 (3.4)2 (0.5)8 (2.0)
Don’t want to answer2 (0.5)1 (0.3)1 (0.3)2 (0.5)1 (0.3)1 (0.3)
GlobalYes25 (3.9)37 (5.8)19 (3.0)39 (6.1)69 (10.8)12 (1.9)
No596 (93.3)580 (90.8)591 (92.5)566 (88.6)548 (85.8)605 (94.7)
I don’t know14 (2.2)18 (2.8)24 (3.8)25 (3.9)13 (2.0)17 (2.7)
Don’t want to answer4 (0.6)4 (0.6)5 (0,8)9 (1.4)9 (1.4)5 (0.8)
Table 3. Indices for knowledge computed for each item based on the sum of scores of the participants.
Table 3. Indices for knowledge computed for each item based on the sum of scores of the participants.
Item
Nº		StatementIndices for Knowledge
Portuguese
(N = 257)		French
(N = 382)		Global
(N = 639)
It. 3By consuming fruits and vegetables on a daily basis, your body cells will be unprotected (Reversed)225521746
It. 1Fruits and vegetables are foods poor in vitamins and minerals that are important to the good functioning of the human body (Reversed)174552726
It. 7Neither vegetables nor fruits contain sugars (Reversed)153523676
It. 2The regular consumption of vegetables and fruits results in higher and better longevity210392602
It. 8Both vegetables and fruits constitute a good source of dietary fiber131446577
It. 10The regular consumption of vegetables and fruits can protect against type 2 diabetes, cardiovascular diseases, hypertension and cancer159256415
It. 11A high ingestion of fruits and vegetables can reduce obesity, cholesterol, and lower blood pressure138265403
It. 6Some vegetables such as spinach or cabbage are rich in iron and can help cure anemia154215369
It. 4Vegetables and fruits are low-calorie foods and can contribute to a healthy weight reduction77229306
It. 5Green leaves, beans, broccoli, cabbage, cauliflower, and vegetables with a yellow-orange coloration like carrots are more effective in the reduction of cancer incidence10765172
It. 9Some vegetables and legumes can be irritating to the intestine−8126118
Table 4. Knowledge about fruits and vegetables according to sociodemographic, anthropometric, or behavioral variables.
Table 4. Knowledge about fruits and vegetables according to sociodemographic, anthropometric, or behavioral variables.
VariablesClassesLevel of Knowledge
Mean 1 ± SD 2		Significance 3
Country 4Portugal0.54 ± 0.71p < 0.001
France0.85 ± 0.57
Age 5Young adults (18–25 y)0.71 ± 0.63p = 0.600
Adults (26–55 y)0.76 ± 0.66
Older adults (56 y or over)0.78 ± 0.75
Sex 4Female0.79 ± 0.63p < 0.001
Male0.59 ± 0.66
Occupation 5Student0.72 ± 0.63p = 0.236
Employed0.78 ± 0.68
Other0.62 ± 0.68
Education 4High school0.57 ± 0.68p < 0.001
University studies0.77 ± 0.63
BMI 5Underweight (BMI < 18.5 kg/m2)0.66 ± 0.67p = 0.188
Normal weight (18.5 < BMI ≤ 25.0 kg/m2)0.77 ± 0.61
Overweight (25.0 < BMI ≤ 30.0 kg/m2)0.76 ± 0.68
Obesity (BMI ≥ 30.0 kg/m2)0.54 ± 0.74
Satisfaction with body weight 4Yes0.67 ± 0.67p = 0.004
No0.82 ± 0.60
Reason for Dissatisfaction 5Low weight0.38 ± 0.64 ap < 0.001
Overweight0.82 ± 0.68 b
Satisfaction with body weight0.42 ± 0.74 a
Physical Exercise 5Never0.69 ± 0.61p = 0.416
Once/week0.71 ± 0.63
2–3 times/week0.73 ± 0.67
More than 3 times/week0.84 ± 0.68
Varied diet 5Never0.67 ± 0.59 ap < 0.001
Sometimes0.59 ± 0.63 a
Several times/week0.81 ± 0.63 b
Always0.83 ± 0.67 b
Global Health Status 5Excellent0.77 ± 0.68p = 0.821
Good0.75 ± 0.67
Reasonable0.70 ± 0.58
Inadequate0.67 ± 0.70
Presence of at least one Chronic Disease 2Yes0.62 ± 0.76p = 0.052
No0.76 ± 0.61
1 Mean = Mean value, 2 SD = Standard deviation.3 Significance considered in all tests: p < 0.05.4 t-test for independent samples.5 ANOVA with post hoc Tukey test. Mean values with different superscript letters are statistically significantly different.
Table 5. Association between cluster membership and sociodemographic, anthropometric, and behavioral variables.
Table 5. Association between cluster membership and sociodemographic, anthropometric, and behavioral variables.
VariablesClassesCluster 1
% 1		Cluster 2
% 1		Cluster 3
% 1		p-Value 2V 3
CountryPortugal40.125.334.6<0.0010.319
France71.814.114.1
AgeYoung adults (18–25 y)60.618.920.50.4180.055
Adults (26–55 y)56.119.424.5
Senior adults (56 y or over)54.514.630.9
SexFemale64.116.119.8<0.0010.154
Male47.724.128.2
OccupationStudent61.418.320.30.1890.069
Employed57.318.124.6
Other45.322.632.1
EducationHigh school43.026.530.5<0.0010.181
University studies63.916.219.9
BMI 4Underweight (BMI < 18.5 kg/m2)57.120.622.20.4000.071
Normal weight (18.5 < BMI ≤ 25.0 kg/m2)62.416.421.2
Overweight (25.0 < BMI ≤ 30.0 kg/m2)53.817.928.3
Obesity (BMI ≥ 30.0 kg/m2)53.128.118.8
Satisfaction with body weightYes55.220.324.50.0380.101
No65.615.718.7
Physical ExerciseNever62.221.516.30.2050.080
Once/week58.415.925.7
2–3 times/week54.721.623.7
More than 3 times/week65.414.819.8
Varied dietNever50.031.318.80.0010.131
Sometimes49.022.029.0
Several times/week68.416.015.6
Always63.515.421.2
Global health StatusExcellent67.320.012.70.4080.072
Good59.416.624.0
Reasonable55.622.521.9
Inadequate65.015.020.0
1 Percentage in line; 2 Significance of the chi-square test (p < 0.05); 3 Cramer’s coefficient; 4 BMI = body mass index.
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MDPI and ACS Style

Le Turc, N.; Silva, A.J.; Florença, S.G.; Raposo, A.; Gonçalves, J.C.; Lima, M.J.; Teixeira-Lemos, E.; Guiné, R.P.F. Consumer Knowledge about Dietary Relevance of Fruits and Vegetables: A Study Involving Participants from Portugal and France. Nutrients 2024, 16, 287. https://doi.org/10.3390/nu16020287

AMA Style

Le Turc N, Silva AJ, Florença SG, Raposo A, Gonçalves JC, Lima MJ, Teixeira-Lemos E, Guiné RPF. Consumer Knowledge about Dietary Relevance of Fruits and Vegetables: A Study Involving Participants from Portugal and France. Nutrients. 2024; 16(2):287. https://doi.org/10.3390/nu16020287

Chicago/Turabian Style

Le Turc, Nolwenn, Ana Jaquelina Silva, Sofia G. Florença, António Raposo, João Carlos Gonçalves, Maria João Lima, Edite Teixeira-Lemos, and Raquel P. F. Guiné. 2024. "Consumer Knowledge about Dietary Relevance of Fruits and Vegetables: A Study Involving Participants from Portugal and France" Nutrients 16, no. 2: 287. https://doi.org/10.3390/nu16020287

APA Style

Le Turc, N., Silva, A. J., Florença, S. G., Raposo, A., Gonçalves, J. C., Lima, M. J., Teixeira-Lemos, E., & Guiné, R. P. F. (2024). Consumer Knowledge about Dietary Relevance of Fruits and Vegetables: A Study Involving Participants from Portugal and France. Nutrients, 16(2), 287. https://doi.org/10.3390/nu16020287

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