Repository logo
 
Publication

Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms

dc.contributor.authorGregório, Maria João
dc.contributor.authorRodrigues, Ana M.
dc.contributor.authorEusébio, Mónica
dc.contributor.authorSousa, Rute Dinis
dc.contributor.authorDias, Sara
dc.contributor.authorAndré, Beate
dc.contributor.authorGrønning, Kjersti
dc.contributor.authorCoelho, Pedro S.
dc.contributor.authorMendes, Jorge M.
dc.contributor.authorGraça, Pedro
dc.contributor.authorEspnes, Geir A.
dc.contributor.authorBranco, Jaime C.
dc.contributor.authorCanhão, Helena
dc.date.accessioned2025-07-17T09:44:10Z
dc.date.available2025-07-17T09:44:10Z
dc.date.issued2017-06-14
dc.description.abstractObjective: We 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 con sumption, 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 depres sion 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 DPs.eng
dc.identifier.citationGregório MJ, Rodrigues AM, Eusébio M, Sousa RD, Dias S, André B, Grønning K, Coelho PS, Mendes JM, Graça P, Espnes GA, Branco JC, Canhão H. Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms. Front Nutr. 2017 Jun 14;4:25. doi: 10.3389/fnut.2017.00025. PMID: 28660194; PMCID: PMC5469910
dc.identifier.doi10.3389/fnut.2017.00025
dc.identifier.issn2296-861X
dc.identifier.urihttp://hdl.handle.net/10400.8/13687
dc.language.isoeng
dc.peerreviewedyes
dc.publisherFrontiers Media SA
dc.relation.hasversionhttps://pubmed.ncbi.nlm.nih.gov/28660194/
dc.relation.ispartofFrontiers in Nutrition
dc.rights.uriN/A
dc.subjectdietary patterns
dc.subjectlifestyles behaviors
dc.subjecthealth status
dc.subjectmental health
dc.subjectPortugal
dc.titleDietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptomseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage12
oaire.citation.startPage1
oaire.citation.titleFrontiers in Nutrition
oaire.citation.volume4
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGregório
person.givenNameMaria João
person.identifier.ciencia-idD51D-547F-9D62
person.identifier.orcid0000-0002-0380-7833
person.identifier.scopus-author-id36504088600
relation.isAuthorOfPublication7e68abfb-ac76-4946-85e6-1fef00fe981f
relation.isAuthorOfPublication.latestForDiscovery7e68abfb-ac76-4946-85e6-1fef00fe981f

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
fnut-04-00025.pdf
Size:
464.64 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.32 KB
Format:
Item-specific license agreed upon to submission
Description: