Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23842
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dc.contributor.authorPestoni, Giulia-
dc.contributor.authorKaravasiloglou, Nena-
dc.contributor.authorBraun, Julia-
dc.contributor.authorKrieger, Jean-Philippe-
dc.contributor.authorSych, Janice Marie-
dc.contributor.authorBopp, Matthias-
dc.contributor.authorFaeh, David-
dc.contributor.authorGruebner, Oliver-
dc.contributor.authorRohrmann, Sabine-
dc.date.accessioned2022-01-07T11:38:22Z-
dc.date.available2022-01-07T11:38:22Z-
dc.date.issued2021-05-11-
dc.identifier.issn0007-1145de_CH
dc.identifier.issn1475-2662de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23842-
dc.description.abstractWe investigated the associations between dietary patterns and chronic disease mortality in Switzerland using an ecological design and explored their spatial dependence, i.e. the tendency of near locations to present more similar and distant locations to present more different values than randomly expected. Data of the National Nutrition Survey menuCH (n 2057) were used to compute hypothesis- (Alternate Healthy Eating Index (AHEI)) and data-driven dietary patterns. District-level standardised mortality ratios (SMR) were calculated using the Swiss Federal Statistical Office mortality data and linked to dietary data geographically. Quasipoisson regression models were fitted to investigate the associations between dietary patterns and chronic disease mortality; Moran's I statistics were used to explore spatial dependence. Compared with the first, the fifth AHEI quintile (highest diet quality) was associated with district-level SMR of 0·95 (95 % CI 0·93, 0·97) for CVD, 0·91 (95 % CI 0·88, 0·95) for ischaemic heart disease (IHD), 0·97 (95 % CI 0·95, 0·99) for stroke, 0·99 (95 % CI 0·98, 1·00) for all-cancer, 0·98 (95 % CI 0·96, 0·99) for colorectal cancer and 0·93 (95 % CI 0·89, 0·96) for diabetes. The Swiss traditional and Western-like patterns were associated with significantly higher district-level SMR for CVD, IHD, stroke and diabetes (ranging from 1·02 to 1·08) compared with the Prudent pattern. Significant global and local spatial dependence was identified, with similar results across hypothesis- and data-driven dietary patterns. Our study suggests that dietary patterns partly contribute to the explanation of geographic disparities in chronic disease mortality in Switzerland. Further analyses including spatial components in regression models would allow identifying regions where nutritional interventions are particularly needed.de_CH
dc.language.isoende_CH
dc.publisherCambridge University Pressde_CH
dc.relation.ispartofBritish Journal of Nutritionde_CH
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/de_CH
dc.subject24-h dietary recallsde_CH
dc.subjectAHEIde_CH
dc.subjectChronic disease mortalityde_CH
dc.subjectDietary patternsde_CH
dc.subjectSpatial analysisde_CH
dc.subject.ddc613.2: Diätetikde_CH
dc.subject.ddc616: Innere Medizin und Krankheitende_CH
dc.titleDoes diet map with mortality? : Ecological association of dietary patterns with chronic disease mortality and its spatial dependence in Switzerlandde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Lebensmittel- und Getränkeinnovation (ILGI)de_CH
dc.identifier.doi10.1017/S0007114521001525de_CH
dc.identifier.doi10.21256/zhaw-23842-
dc.identifier.pmid33971997de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end13de_CH
zhaw.pages.start1de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedErnährungde_CH
zhaw.webfeedHealth Research Hub (LSFM)de_CH
zhaw.webfeedLM-Technologiede_CH
zhaw.funding.zhawWas isst die Schweiz?de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management



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