Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/28608
Registo completo
Campo DCValorIdioma
dc.contributor.authorGregório, Maria João Batista-
dc.contributor.authorRodrigues, Ana M.-
dc.contributor.authorEusebio, Monica-
dc.contributor.authorSousa, RD-
dc.contributor.authorDias, Sara-
dc.contributor.authorAndre, Beate-
dc.contributor.authorGronning, Kjersti-
dc.contributor.authorCoelho, Pedro Simões-
dc.contributor.authorMendes, Jorge M.-
dc.contributor.authorGraca, Pedro-
dc.contributor.authorEspnes, Geir A.-
dc.contributor.authorBranco, Jaime-
dc.contributor.authorCanhão, Helena-
dc.date.accessioned2018-01-19T23:11:29Z-
dc.date.available2018-01-19T23:11:29Z-
dc.date.issued2017-06-14-
dc.identifier.issn2296-861X-
dc.identifier.otherPURE: 3408938-
dc.identifier.otherPURE UUID: a3aea4d6-7355-495f-8b23-30a539c5df9f-
dc.identifier.otherWOS: 000409007400001-
dc.identifier.otherPubMed: 28660194-
dc.identifier.otherORCID: /0000-0003-1894-4870/work/67178149-
dc.identifier.otherScopus: 85042748227-
dc.identifier.otherORCID: /0000-0003-0828-9956/work/95136420-
dc.identifier.otherORCID: /0000-0003-2251-3803/work/152085010-
dc.identifier.urihttp://hdl.handle.net/10362/28608-
dc.descriptionGregório, M. J. B., Rodrigues, A. M., Eusebio, M., Sousa, R. D., Dias, S., Andre, B., ... Canhao, H. (2017). Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms. Frontiers in nutrition, 4, [25]. DOI: 10.3389/fnut.2017.00025-
dc.description.abstractWe aimed to identify dietary patterns (DPs) of Portuguese adults, to assess their socioeconomic, demographic, lifestyle determinants, and to identify their impact on health.DESIGN: EpiDoC 2 study included 10,153 Portuguese adults from the EpiDoC Cohort, a population-based study. In this study, trained research assistants using computer-assisted telephone interview collected socioeconomic, demographic, dietary, lifestyles, and health information from March 2013 to July 2015. Cluster analysis was performed, based on questions regarding the number of meals, weekly frequency of soup consumption, vegetables, fruit, meat, fish, dairy products, and daily water intake. Factors associated with DP were identified through logistic regression models.RESULTS: Two DPs were identified: the "meat dietary pattern" and the "fruit & vegetables dietary pattern." After multivariable adjustment, women (OR = 0.52; p < 0.001), older adults (OR = 0.97; p < 0.001), and individuals with more years of education (OR = 0.96; p = 0.025) were less likely to adopt the "meat dietary pattern," while individuals in a situation of job insecurity/unemployment (OR = 1.49; p = 0.013), Azores island residents (OR = 1.40; p = 0.026), current smoking (OR = 1.58; p = 0.001), daily alcohol intake (OR = 1.46; p = 0.023), and physically inactive (OR = 1.86; p < 0.001) were positively and significantly associated with "meat dietary pattern." Moreover, individuals with depression symptoms (OR = 1.50; p = 0.018) and the ones who did lower number of medical appointments in the previous year (OR = 0.98; p = 0.025) were less likely to report this DP.CONCLUSION: Our results suggest that unhealthy DPs (meat DP) are part of a lifestyle behavior that includes physical inactivity, smoking habits, and alcohol consumption. Moreover, depression symptoms are also associated with unhealthy DPsen
dc.format.extent12-
dc.language.isoeng-
dc.rightsopenAccess-
dc.subjectdietary patterns-
dc.subjectlifestyles behaviors-
dc.subjecthealth status-
dc.subjectmental health-
dc.subjectPortugal-
dc.subjectSDG 3 - Good Health and Well-being-
dc.titleDietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms-
dc.typearticle-
degois.publication.titleFrontiers in Nutrition-
degois.publication.volume4-
dc.peerreviewedyes-
dc.identifier.doihttps://doi.org/10.3389/fnut.2017.00025-
dc.description.versionpublishersversion-
dc.description.versionpublished-
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)-
dc.contributor.institutionCentro de Estudos de Doenças Crónicas (CEDOC)-
dc.contributor.institutionNOVA Information Management School (NOVA IMS)-
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School-
Aparece nas colecções:NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)
NMS: CEDOC - Artigos em revista internacional com arbitragem científica

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Greg_rio_et_al_Dietary_2017.pdf464,64 kBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.