Publication:
Quality of everage intake and cardiometabolic and kidney outcomes: insights from the STANISLAS cohort

dc.contributor.coauthorWagner, S.
dc.contributor.coauthorMerkling, T.
dc.contributor.coauthorGirerd, N.
dc.contributor.coauthorBozec, E.
dc.contributor.coauthorVan den Berghe, L.
dc.contributor.coauthorHoge, A.
dc.contributor.coauthorGuillaume, M.
dc.contributor.coauthorCakir Kiefer, C.
dc.contributor.coauthorThornton, S.N.
dc.contributor.coauthorBoivin, J.M.
dc.contributor.coauthorMerckle, L.
dc.contributor.coauthorLaville, M.
dc.contributor.coauthorRossignol, P.
dc.contributor.coauthorNazare J.A.
dc.contributor.departmentSchool of Medicine
dc.contributor.kuauthorKanbay, Mehmet
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2024-11-09T13:18:54Z
dc.date.issued2022
dc.description.abstractBackground and aims: beverages are an important aspect of diet, and their quality can possibly affect health. The Healthy Beverage Index (HBI) has been developed to take into account these effects. This study aimed to highlight the relationships between health and beverage quality by assessing the association of the HBI and its components with kidney and cardiometabolic (CM) outcomes in an initially healthy population-based familial cohort. Methods: this study included 1,271 participants from the STANISLAS cohort. The HBI, which includes 10 components of habitual beverage consumption, was calculated. Associations of the HBI and its components with estimated glomerular filtration rate (eGFR), albuminuria, hypertriglyceridemic waist (HTG waist), metabolic syndrome (MetS), carotid-femoral pulse wave velocity (cfPWV), carotid intima-media thickness (cIMT), and left ventricular mass (LV mass) were analyzed using multivariable linear or logistic regression models. Results: the median HBI score was 89.7 (78.6–95) out of 100 points. While the overall HBI score was not significantly associated with any of the studied outcomes, individual HBI components were found differently associated with the outcomes. cfPWV and cIMT were lower in participants who did not meet the full-fat milk criteria (p = 0.03 and 0.001, respectively). In men, higher cfPWV was observed for the “low Fat milk” (p = 0.06) and “alcohol” (p = 0.03) non-adherence criteria. Odds of HTG waist were higher with the non-adherence to sugar-sweetened beverages criteria (p < 0.001). eGFR was marginally higher with non-adherence to the coffee/tea criteria (p = 0.047). Conclusions: In this initially healthy population, HBI components were differently associated with kidney and cardiometabolic outcomes, despite a good overall HBI score. Our results highlight specific impacts of different beverage types and suggest that beverages could have an impact on kidney and cardiometabolic health.
dc.description.fulltextYES
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuEU
dc.description.sponsorshipCentre Hospitalier Regional Universitaire of Nancy (CHRU)
dc.description.sponsorshipFrench Ministry of Health (Programme Hospitalier de Recherche Clinique Inter-regional 2013)
dc.description.sponsorshipFonds Europeen de Developpement Regional (FEDER Lorraine)
dc.description.sponsorshipFrench National Research Agency (ANR)
dc.description.sponsorshipEuropean Union (EU)
dc.description.sponsorshipHorizon 2020
dc.description.sponsorship6th EU Research Framework Programme Network of Excellence Ingenious HyperCare
dc.description.sponsorship7th Research Framework Programme Europeen Cooperation-Theme Health/FP7HEALTH-2010-single-stage
dc.description.sponsorshipHeart OMics in AGEing (HOMEGA)
dc.description.sponsorshipFOCUS-MR
dc.description.sponsorshipFIBROTARGETS
dc.description.sponsorshipERA-CVD EXPERT
dc.description.sponsorshipContrat de Plan Etat-Lorraine IT2MP
dc.description.versionPublisher version
dc.description.volume8
dc.identifier.doi10.3389/fnut.2021.738803
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR03459
dc.identifier.issn2296-861X
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-85123220384
dc.identifier.urihttps://doi.org/10.3389/fnut.2021.738803
dc.identifier.wos758012000001
dc.keywordsAdult consumption
dc.keywordsBeverages
dc.keywordsCardiovascular health
dc.keywordsHealthy beverage index
dc.keywordsKidney function
dc.keywordsMetabolic health
dc.language.isoeng
dc.publisherFrontiers
dc.relation.grantnoANR-15-RHU-0004
dc.relation.grantnoANR-15-IDEX-04-LUE
dc.relation.grantnoLSHM-CT-2006-037093
dc.relation.grantno305507
dc.relation.grantnoANR-15-CE14-0032-01
dc.relation.grantno602904
dc.relation.grantnoANR-16-ECVD-0002-02
dc.relation.ispartofFrontiers in Nutrition
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10253
dc.subjectNutrition and dietetics
dc.titleQuality of everage intake and cardiometabolic and kidney outcomes: insights from the STANISLAS cohort
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorKanbay, Mehmet
local.publication.orgunit1SCHOOL OF MEDICINE
local.publication.orgunit2School of Medicine
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relation.isOrgUnitOfPublication.latestForDiscoveryd02929e1-2a70-44f0-ae17-7819f587bedd
relation.isParentOrgUnitOfPublication17f2dc8e-6e54-4fa8-b5e0-d6415123a93e
relation.isParentOrgUnitOfPublication.latestForDiscovery17f2dc8e-6e54-4fa8-b5e0-d6415123a93e

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