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Health behaviours as predictors of the Mediterranean diet adherence: a decision tree approach

2021-07Journal article Open access
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dc.contributor.authorBôto, Joana Margarida
dc.contributor.authorMarreiros, Ana
dc.contributor.authorDiogo, Patricia
dc.contributor.authorPinto, Ezequiel
dc.contributor.authorMateus, Maria Palma
dc.date.accessioned2023-03-13T11:13:44Z
dc.date.available2023-03-13T11:13:44Z
dc.date.issued2021-07
dc.description.abstractObjective: This study aimed to identify health behaviours that determine adolescent's adherence to the Mediterranean diet (MD) through a decision tree statistical approach. Design: Cross-sectional study, with data collected through a self-fulfilment questionnaire with five sections: (1) eating habits; (2) adherence to the MD (KIDMED index); (3) physical activity; (4) health habits and (5) socio-demographic characteristics. Anthropometric and blood pressure data were collected by a trained research team. The Automatic Chi-square Interaction Detection (CHAID) method was used to identify health behaviours that contribute to a better adherence to the MD. Setting: Eight public secondary schools, in Algarve, Portugal. Participants: Adolescents with ages between 15 and 19 years (n 325). Results: According to the KIDMED index, we found a low adherence to MD in 9 center dot 0 % of the participants, an intermediate adherence in 45 center dot 5 % and a high adherence in 45 center dot 5 %. Participants that regularly have breakfast, eat vegetable soup, have a second piece of fruit/d, eat fresh or cooked vegetables 1 or more times a day, eat oleaginous fruits at least 2 to 3 times a week, and practice sports and leisure physical activities outside school show higher adherence to the MD (P < 0 center dot 001). Conclusions: The daily intake of two pieces of fruit and vegetables proved to be a determinant health behaviour for high adherence to MD. Strategies to promote the intake of these foods among adolescents must be developed and implemented.pt_PT
dc.description.sponsorshipEuropean RegionalDevelopment Fund (ERDF) through the Operational Program (POCTEP) 0290_MEDITA_5_Ppt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1017/S1368980021003293pt_PT
dc.identifier.eissn1475-2727
dc.identifier.urihttp://hdl.handle.net/10400.1/19230
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCambridge University Presspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMediterranean Dietpt_PT
dc.subjectAdolescencept_PT
dc.subjectHealth behaviourspt_PT
dc.subjectDietary habitspt_PT
dc.subjectDecision treespt_PT
dc.subjectMachine learningpt_PT
dc.titleHealth behaviours as predictors of the Mediterranean diet adherence: a decision tree approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1876pt_PT
oaire.citation.issue7pt_PT
oaire.citation.startPage1864pt_PT
oaire.citation.titlePublic Health Nutritionpt_PT
oaire.citation.volume25pt_PT
person.familyNameMarreiros
person.familyNameDiogo
person.familyNamePalma Mateus
person.givenNameAna
person.givenNamePatricia
person.givenNameMaria
person.identifier.ciencia-id9A12-9450-7051
person.identifier.ciencia-idFD18-ED81-FFB5
person.identifier.ciencia-id791D-F900-E237
person.identifier.orcid0000-0001-9410-4772
person.identifier.orcid0000-0002-0804-5014
person.identifier.orcid0000-0002-9278-5540
person.identifier.scopus-author-id57194785077
person.identifier.scopus-author-id36695981300
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc0a8e5da-26ae-42a8-ab04-fa4df4356375
relation.isAuthorOfPublication65079962-28ba-4133-bd35-206b229da949
relation.isAuthorOfPublicationf4ff14d6-d9fa-46c2-94f9-68e3ad707507
relation.isAuthorOfPublication.latestForDiscoveryf4ff14d6-d9fa-46c2-94f9-68e3ad707507

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