Emotions and Food Consumption: Emotional Eating Behavior in a European Population

Emotion can reflect in the perception of food consumption. An increase in food intake during emotional and psychological conditions may have a negative impact on human health. The aim of this cross-sectional study was to determine the associations between food consumption, emotional eating behavior, and emotional conditions such as stress, depression, loneliness, boredom eating, maintaining vigilance and alertness, and emotional food consolation. We used a Motivations for Food Choices Questionnaire (Eating Motivations, EATMOT) to determine the emotional aspects of food consumption in 9052 respondents living in 12 European countries between October 2017 and March 2018. Ordinal linear regression was used to identify the associations between the emotional eating behavior and emotional conditions such as stress, depression, loneliness, emotional consolation, and reasons to improve physical and psychological conditions. The regression models confirmed the associations between food consumption, emotional conditions, and emotional eating behavior. Associations were found between the emotional eating behavior and stress (odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.07–1.60, p = 0.010), depressive mood (OR = 1.41, 95% CI = 1.40–1.43, p < 0.001), loneliness (OR = 1.60, 95% CI = 1.58–1.62, p < 0.001), boredom (OR = 1.37, 95% CI = 1.36–1.39, p < 0.001), and emotional consolation (OR = 1.55, 95% CI = 1.54–1.57, p < 0.001). Emotional eating was associated with an effort to improve physical and psychological conditions, such as controlling body weight (OR = 1.11, 95% CI = 1.10–1.12, p < 0.001), keeping awake and alert (OR = 1.19, 95% CI = 1.19–1.20, p < 0.001) and consumption to feel good (OR = 1.22, 95% CI = 1.21–1.22, p < 0.001). In conclusion, emotions might provoke emotional eating behavior. The appropriate way to handle stress, depression, or other emotional states is important in conditions of being emotionally overwhelmed. The public should be educated on how to handle different emotional states. The focus should be moved somehow from emotional eating and the consumption of unhealthy food to healthy lifestyle practices, including regular exercise and healthy eating habits. Thus, it is necessary to halt these negative health effects on human health through public health programs.info:eu-repo/semantics/publishedVersio

Motivation for health behaviour: A predictor of adherence to balanced and healthy food across different coastal Mediterranean countries

This cross-sectional study aimed to assess perceptions of healthy food and motivation for health behaviour (MHB) in different Mediterranean countries. Multiple linear regression was used to identify the association between perception of healthy food and MHB in different countries. The highest MHB was observed in Portugal (median 38.0; IQR 7.0) and the lowest in Greece (median 34.0; IQR 8.0). Compared to Portuguese respondents, respondents from Croatia (ß=0.35; p < 0.001), Egypt (ß=0.24; p < 0.001), and Greece (ß=0.10; p < 0.001) had a higher probability of a better perception of healthy food. Slovenia respondents had reduced perception of healthy food (ß=-0.10; p < 0.001) and MHB (ß=-0.22; p < 0.001), despite higher adherence to a healthy diet (ß=0.22; p < 0.001). Lifestyle habits, such as physical exercise, showed a weak association with MHB (ß=0.14; p < 0.001) and adherence to healthy food (ß=0.18; p < 0.001). The presence of most chronic diseases was negatively associated with MHB. The association between the perception of healthy food, MHB, and adherence to a balanced and healthy diet across different countries could be useful for implementing strategies to promote healthy eating and prevent chronic diseases.info:eu-repo/semantics/publishedVersio

Influence of sociodemographic factors on eating motivations - modelling through artificial neural networks (ANN)

This study aimed at investigating the influence of some sociodemographic factors on the eating motivations. A longitudinal study was carried conducted with 11960 participants from 16 countries. Data analysis included t-test for independent samples or ANOVA, and neural network models were also created, to relate the input and output variables. Results showed that factors like age, marital status, country, living environment, level of education or professional area significantly influenced all of the studied types of eating motivations. Neural networks modelling indicated variability in the food choices, but identifying some trends, for example the strongest positive factor determining health motivations was age, while for emotional motivations was living environment, and for economic and availability motivations was gender. On the other hand, country revealed a high positive influence for the social and cultural as well as for environmental and political and also for marketing and commercial motivations.This is the peer-reviewed version of the following article: Guine, R. P. F.; Ferrao, A. C.; Ferreira, M.; Correia, P.; Mendes, M.; Bartkiene, E.; Szucs, V.; Tarcea, M.; Matek-Sarić, M.; Cernelić-Bizjak, M.; Isoldi, K.; EL-Kenawy, A.; Ferreira, V.; Klava, D.; Korzeniowska, M.; Vittadini, E.; Leal, M.; Frez-Munoz, L.; Papageorgiou, M.; Djekić, I. Influence of Sociodemographic Factors on Eating Motivations - Modelling through Artificial Neural Networks (ANN). International Journal of Food Sciences and Nutrition 2020, 71 (5), 614–627. [https://doi.org/10.1080/09637486.2019.1695758]

Investigation of the Level of Knowledge in Different Countries about Edible Insects: Cluster Segmentation

This study aimed to investigate the level of knowledge about edible insects (EIs) in a sample of people from thirteen countries (Croatia, Greece, Latvia, Lebanon, Lithuania, Mexico, Poland, Portugal, Romania, Serbia, Slovenia, Spain, and Turkey). Data collection was based on a questionnaire survey applied through online tools between July and November 2021. For data analysis, techniques such as factor analysis, cluster analysis, and chi-square tests were used, with a significance level of 5%. A total of 27 items were used to measure knowledge on a five-point Likert scale. Applying factor analysis with principal components and Varimax rotation, a solution that explains about 55% of variance was obtained. This accounts for four factors that retained 22 of the 27 initial items: F1 = Sustainability (8 items), F2 = Nutrition (8 items), F3 = Production Factors (2 items), and F4 = Health Concerns (4 items). Internal consistency was evaluated through Cronbach’s alpha. The cluster analysis consisted of the application of hierarchical methods followed by k-means and produced three clusters (1—‘fearful’, 2—‘farming,’ and 3—‘ecological’ individuals). The characterisation of the clusters revealed that age did not influence cluster membership, while sex, education, country, living environment, professional area, and income all influenced the composition of the clusters. While participants from Mexico and Spain were fewer in the ‘fearful’ cluster, in those from Greece, Latvia, Lebanon, and Turkey, the situation was opposed. Participants from rural areas were mostly in cluster 2, which also included a higher percentage of participants with lower income. Participants from professional areas linked with biology, food, and nutrition were mostly in cluster 3. In this way, we concluded that the level of knowledge about EIs is highly variable according to the individual characteristics, namely that the social and cultural influences of the different countries lead to distinct levels of knowledge and interpretation of information, thus producing divergent approaches to the consumption of insects—some more reluctant and measuring possible risks. In contrast, others consider EIs a good and sustainable protein-food alternative.info:eu-repo/semantics/publishedVersio

Investigation of the level of knowledge in different countries about edible insects : cluster segmentation

This study aimed to investigate the level of knowledge about edible insects (EIs) in a sample of people from thirteen countries (Croatia, Greece, Latvia, Lebanon, Lithuania, Mexico, Poland, Portugal, Romania, Serbia, Slovenia, Spain, and Turkey). Data collection was based on a questionnaire survey applied through online tools between July and November 2021. For data analysis, techniques such as factor analysis, cluster analysis, and chi-square tests were used, with a significance level of 5%. A total of 27 items were used to measure knowledge on a five-point Likert scale. Applying factor analysis with principal components and Varimax rotation, a solution that explains about 55% of variance was obtained. This accounts for four factors that retained 22 of the 27 initial items: F1 = Sustainability (8 items), F2 = Nutrition (8 items), F3 = Production Factors (2 items), and F4 = Health Concerns (4 items). Internal consistency was evaluated through Cronbach’s alpha. The cluster analysis consisted of the application of hierarchical methods followed by k-means and produced three clusters (1—‘fearful’, 2—‘farming,’ and 3—‘ecological’ individuals). The characterisation of the clusters revealed that age did not influence cluster membership, while sex, education, country, living environment, professional area, and income all influenced the composition of the clusters. While participants from Mexico and Spain were fewer in the ‘fearful’ cluster, in those from Greece, Latvia, Lebanon, and Turkey, the situation was opposed. Participants from rural areas were mostly in cluster 2, which also included a higher percentage of participants with lower income. Participants from professional areas linked with biology, food, and nutrition were mostly in cluster 3. In this way, we concluded that the level of knowledge about EIs is highly variable according to the individual characteristics, namely that the social and cultural influences of the different countries lead to distinct levels of knowledge and interpretation of information, thus producing divergent approaches to the consumption of insects—some more reluctant and measuring possible risks. In contrast, others consider EIs a good and sustainable protein-food alternative.info:eu-repo/semantics/publishedVersio

Validation of the Scale Knowledge and Perceptions about Edible Insects through Structural Equation Modelling

Edible insects have been suggested as a more sustainable source of protein, but their consumption varies according to geographical and sociocultural influences. Focusing on the different aspects that can influence people’s attitudes towards edible insects (EI), this work aimed to carry out the statistical validation of an instrument aimed at assessing different dimensions of this field: the KPEI (knowledge and perceptions about EI) scale. The instrument consists of 64 questions distributed by the following dimensions: Culture and Tradition, Gastronomic Innovation and Gourmet Kitchen, Environment and Sustainability, Economic and Social Aspects, Commercialization and Marketing, Nutritional Characteristics, and Health Effects. The data were collected in 13 countries (Croatia, Greece, Latvia, Lebanon, Lithuania, Mexico, Poland, Portugal, Romania, Serbia, Slovenia, Spain, and Turkey). The validation of the KPEI scale was made through Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM). The results revealed two acceptable models, both retaining 37 of the 64 initial items, distrusted by the seven dimensions as: Culture and Tradition (5 items), Gastronomic Innovation and Gourmet Kitchen (5 items), Environment and Sustainability (8 items), Economic and Social Aspects (5 items), Commercialisation and Marketing (4 items), Nutritional Aspects (6 items), Health Effects (4 items). Both multifactorial models resulting from the CFA/SEM analyses showed approximately equal goodness of statistical fit indices with values of Root Mean Square Error of Approximation (RMSEA), Root Mean Square Residual (RMR), and Standardized Root Mean Square Residual (SRMR) partially zero and values of Goodness of Fit Index (GFI) and Comparative Fit Index (CFI) approximately one, i.e., very close to a perfect fit. For the first-order model, the ratio between chi-square and degrees of freedom is χ2/df = 13.734, GFI = 0.932, CFI = 0.930, RMSEA = 0.043, RMR = 0.042, SRMR = 0.042; and for the second-order model χ2/df = 14.697, GFI = 0.926, CFI = 0.923, RMSEA = 0.045, RMR = 0.047, SRMR = 0.046). The values of composite reliability (CR = 0.967) and mean extracted variance (MEV = 0.448) are indicative of a good fit. Finally, the reliability analysis indicated a very good internal consistency (Cronbach’s α = 0.941). These results confirm the successful validation of the KPEI scale, making it a valuable instrument for future application at the international level.info:eu-repo/semantics/publishedVersio

Validation of the scale knowledge and perceptions about edible insects through structural equation modelling

Edible insects have been suggested as a more sustainable source of protein, but their consumption varies according to geographical and sociocultural influences. Focusing on the different aspects that can influence people’s attitudes towards edible insects (EI), this work aimed to carry out the statistical validation of an instrument aimed at assessing different dimensions of this field: the KPEI (knowledge and perceptions about EI) scale. The instrument consists of 64 questions distributed by the following dimensions: Culture and Tradition, Gastronomic Innovation and Gourmet Kitchen, Environment and Sustainability, Economic and Social Aspects, Commercialization and Marketing, Nutritional Characteristics, and Health Effects. The data were collected in 13 countries (Croatia, Greece, Latvia, Lebanon, Lithuania, Mexico, Poland, Portugal, Romania, Serbia, Slovenia, Spain, and Turkey). The validation of the KPEI scale was made through Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). The results revealed two acceptable models, both retaining 37 of the 64 initial items, distrusted by the seven dimensions as: Culture and Tradition (5 items), Gastronomic Innovation and Gourmet Kitchen (5 items), Environment and Sustainability (8 items), Economic and Social Aspects (5 items), Commercialisation and Marketing (4 items), Nutritional Aspects (6 items), Health Effects (4 items). Both multifactorial models resulting from the CFA/SEM analyses showed approximately equal goodness of statistical fit indices with values of Root Mean Square Error of Approximation (RMSEA), Root Mean Square Residual (RMR), and Standardized Root Mean Square Residual (SRMR) partially zero and values of Goodness of Fit Index (GFI) and Comparative Fit Index (CFI) approximately one, i.e., very close to a perfect fit. For the first-order model, the ratio between chi-square and degrees of freedom is χ 2/df = 13.734, GFI = 0.932, CFI = 0.930, RMSEA = 0.043, RMR = 0.042, SRMR = 0.042; and for the second-order model χ 2/df = 14.697, GFI = 0.926, CFI = 0.923, RMSEA = 0.045, RMR = 0.047, SRMR = 0.046). The values of composite reliability (CR = 0.967) and mean extracted variance (MEV = 0.448) are indicative of a good fit. Finally, the reliability analysis indicated a very good internal consistency (Cronbach’s α = 0.941). These results confirm the successful validation of the KPEI scale, making it a valuable instrument for future application at the international level.info:eu-repo/semantics/publishedVersio

Are Consumers Aware of Sustainability Aspects Related to Edible Insects? Results from a Study Involving 14 Countries

In recent years, edible insects have been suggested as an alternative food that is more sustainable compared with other sources of animal protein. However, knowledge about the sustainability aspects associated with this source of food may play a role in convincing consumers to adopt insects as part of their diet. In this context, the present study investigated the level of knowledge about the sustainability of edible insects in a group of people originating from 14 countries, with some naturally entomophagous and others not. To measure the knowledge, 11 items were selected and the scores obtained were tested with statistical tools (t-test for independent samples, analysis of variance—ANOVA) to search for differences according to sociodemographic and socioeconomic characteristics, geographical origin, and consumption habits of edible insects. The obtained results showed that, in general, knowledge is moderate, with the values of the average scores for the 11 items investigated ranging from 0.23 ± 0.99 to 0.66 ± 1.02, on a scale ranging from –2 (=very low knowledge) to 2 (=very high knowledge). The highest scores were found for items relating to the lower use of animal feed and lower emission of greenhouse gases required for the production of insects compared with beef. When investigating the differences between groups of participants, significant differences were generally found, revealing a trend for higher knowledge among males and young adults, for participants residing in urban areas and in countries such as Spain, Mexico, and Poland, and for participants with higher education levels and higher incomes. When testing the influence of consumption variables on the level of knowledge, the results showed a higher knowledge for participants who had already consumed insects or are willing to consume them. Finally, it was observed that higher knowledge was found for participants whose motivation to consume insects related to curiosity, a wish to preserve the planet, the gastronomic characteristics of insects, and their nutritional value. In conclusion, these results clearly indicate a very marked influence of a number of variables on the knowledge about the sustainability of edible insects, and this may be helpful to delineate strategies to effectively raise knowledge and eventually increase the willingness to consider insects as a more sustainable alternative to partially replace other protein foods, even in countries where this is a not a traditional practice.info:eu-repo/semantics/publishedVersio

Study of kefir drinks produced by backslopping method using kefir grains from Bosnia and Herzegovina: microbial dynamics and volatilome profile

Kefir is a well-known health-promoting beverage that can be produced by using kefir grains (traditional method) or by using natural starter cultures from kefir (backslopping method). The aim of this study was to elucidate the microbial dynamics and volatilome profile occurring during kefir production through traditional and backslopping methods by using five kefir grains that were collected in Bosnia and Herzegovina. The results from conventional pour plating techniques and amplicon-based sequencing were combined. The kefir drinks have also been characterized in terms of their physico-chemical and colorimetric parameters. A bacterial shift from Lactobacillus kefiranofaciens to Acetobacter syzygii, Lactococcus lactis and Leuconostoc pseudomesenteroides from kefir grains in traditional kefir to backslopped kefir was generally observed. Despite some differences within samples, the dominant mycobiota of backslopped kefir samples remained quite similar to that of the kefir grain samples. However, unlike the lactic acid and acetic acid bacteria, the yeast counts decreased progressively in the grains from the backslopped kefir. The backslopped kefir samples showed higher protein, lactose and ash content and lower ethanol content compared to traditional kefir samples, coupled with optimal pH values that contribute to a pleasant sensory profile. Concerning the volatilome, backslopped kefir samples were correlated with cheesy, buttery, floral and fermented odors, whereas the traditional kefir samples were correlated with alcoholic, fruity, fatty and acid odors. Overall, the data obtained in the present study provided evidence that different kefir production methods (traditional vs backslopping) affect the quality characteristics of the final product. Hence, the functional traits of backslopped kefir should be further investigated in order to verify the suitability of a potential scale-up methodology for backslopping