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

Detalhes bibliográficos
Autor(a) principal: Guiné, Raquel P.F.
Data de Publicação: 2023
Outros Autores: Florença, Sofia G., Costa, Cristina A., Correia, Paula M. R., Ferreira, Manuela, Cardoso, Ana P., Campos, Sofia, Anjos, O., Chuck-Hernández, Cristina, Sarić, Marijana Matek, Djekic, Ilija, Papageorgiou, Maria, Baro, José M. F., Korzeniowska, Malgorzata, Černelič-Bizjak, Maša, Bartkiene, Elena, Tarcea, Monica, Boustani, Nada M., Klava, Dace, Damarli, Emel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.11/8323
Resumo: 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.
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spelling Investigation of the level of knowledge in different countries about edible insects : cluster segmentationKnowledgeEdible insectsFactor analysisCluster analysisSustainable foodNutritional valueThis 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.MDPIRepositório Científico do Instituto Politécnico de Castelo BrancoGuiné, Raquel P.F.Florença, Sofia G.Costa, Cristina A.Correia, Paula M. R.Ferreira, ManuelaCardoso, Ana P.Campos, SofiaAnjos, O.Chuck-Hernández, CristinaSarić, Marijana MatekDjekic, IlijaPapageorgiou, MariaBaro, José M. F.Korzeniowska, MalgorzataČernelič-Bizjak, MašaBartkiene, ElenaTarcea, MonicaBoustani, Nada M.Klava, DaceDamarli, Emel2023-02-16T16:33:37Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/8323engGUINÉ, Raquel P.F. [et al.] (2023) - Investigation of the level of knowledge in different countries about edible insects : cluster segmentation. Sustainability. 15, 450. DOI 10.3390/su1501045010.3390/su15010450info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-18T01:47:52ZPortal AgregadorONG
dc.title.none.fl_str_mv Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
title Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
spellingShingle Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
Guiné, Raquel P.F.
Knowledge
Edible insects
Factor analysis
Cluster analysis
Sustainable food
Nutritional value
title_short Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
title_full Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
title_fullStr Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
title_full_unstemmed Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
title_sort Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
author Guiné, Raquel P.F.
author_facet Guiné, Raquel P.F.
Florença, Sofia G.
Costa, Cristina A.
Correia, Paula M. R.
Ferreira, Manuela
Cardoso, Ana P.
Campos, Sofia
Anjos, O.
Chuck-Hernández, Cristina
Sarić, Marijana Matek
Djekic, Ilija
Papageorgiou, Maria
Baro, José M. F.
Korzeniowska, Malgorzata
Černelič-Bizjak, Maša
Bartkiene, Elena
Tarcea, Monica
Boustani, Nada M.
Klava, Dace
Damarli, Emel
author_role author
author2 Florença, Sofia G.
Costa, Cristina A.
Correia, Paula M. R.
Ferreira, Manuela
Cardoso, Ana P.
Campos, Sofia
Anjos, O.
Chuck-Hernández, Cristina
Sarić, Marijana Matek
Djekic, Ilija
Papageorgiou, Maria
Baro, José M. F.
Korzeniowska, Malgorzata
Černelič-Bizjak, Maša
Bartkiene, Elena
Tarcea, Monica
Boustani, Nada M.
Klava, Dace
Damarli, Emel
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
dc.contributor.author.fl_str_mv Guiné, Raquel P.F.
Florença, Sofia G.
Costa, Cristina A.
Correia, Paula M. R.
Ferreira, Manuela
Cardoso, Ana P.
Campos, Sofia
Anjos, O.
Chuck-Hernández, Cristina
Sarić, Marijana Matek
Djekic, Ilija
Papageorgiou, Maria
Baro, José M. F.
Korzeniowska, Malgorzata
Černelič-Bizjak, Maša
Bartkiene, Elena
Tarcea, Monica
Boustani, Nada M.
Klava, Dace
Damarli, Emel
dc.subject.por.fl_str_mv Knowledge
Edible insects
Factor analysis
Cluster analysis
Sustainable food
Nutritional value
topic Knowledge
Edible insects
Factor analysis
Cluster analysis
Sustainable food
Nutritional value
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-02-16T16:33:37Z
2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.11/8323
url http://hdl.handle.net/10400.11/8323
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv GUINÉ, Raquel P.F. [et al.] (2023) - Investigation of the level of knowledge in different countries about edible insects : cluster segmentation. Sustainability. 15, 450. DOI 10.3390/su15010450
10.3390/su15010450
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.mail.fl_str_mv
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