MétaCan
Menu
Back to cohort
Record W3024533587 · doi:10.1136/bmjdrc-2019-000826

Association of dairy consumption with metabolic syndrome, hypertension and diabetes in 147 812 individuals from 21 countries

2020· article· en· W3024533587 on OpenAlexafffund
Balaji Bhavadharini, Mahshid Dehghan, Andrew Mente, Sumathy Rangarajan, Patrick Sheridan, Viswanathan Mohan, Romaina Iqbal, Rajeev Gupta, Scott A. Lear, Edelweiss Wentzel‐Viljoen, Álvaro Avezum, Patricio López‐Jaramillo, Prem Mony, Ravi Prasad Varma, Rajesh Kumar, Jephat Chifamba, Khalid F. AlHabib, Noushin Mohammadifard, Aytekin Oğuz, Fernando Laņas, Dorota Różańska, Kristina Bengtsson Boström, Khalid Yusoff, Lungiswa P Tsolkile, Antonio Dans, Afzalhussein Yusufali, Andrés Orlandini, Paul Poirier, Rasha Khatib, Bo Hu, Wei Li, Lu Yin, Ai Deeraili, Karen Yeates, Rita Yusuf, Dariush Mozaffarian, Koon Teo, Sonia S. Anand, Salim Yusuf

Bibliographic record

VenueBMJ Open Diabetes Research & Care · 2020
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecSimon Fraser UniversityImpactHamilton Health SciencesQueen's UniversityMcMaster UniversityPopulation Health Research Institute
FundersFaculty of Community and Health Sciences, University of the Western CapePhilippine Council for Health Research and DevelopmentCanadian Institutes of Health ResearchUnited Nations Relief and Works Agency for Palestine RefugeesIndependent University, BangladeshServierUniwersytet Medyczny im. Piastów Slaskich we WroclawiuUniversidad de La FronteraDairy Farmers of CanadaUniversiti Kebangsaan MalaysiaAstraZenecaMinistério da Ciência, Tecnologia e InovaçãoAFA FörsäkringPopulation Health Research InstituteSaudi Heart AssociationUniversiti Teknologi MARANational Research FoundationNorth-West UniversityPublic Health Agency of CanadaMcMaster UniversityDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)SanofiMedical Research CouncilKing Saud UniversityIndian Council of Medical ResearchHamilton Health SciencesInternational Development Research CentreVetenskapsrådetHeart and Stroke Foundation of CanadaOntario Ministry of Health and Long-Term CarePublic Health AgencyGlaxoSmithKline
KeywordsMedicineProspective cohort studyDiabetes mellitusEpidemiologyMetabolic syndromeCohort studyCross-sectional studyInternal medicineEnvironmental healthEndocrinology

Abstract

fetched live from OpenAlex

Objective Our aims were to assess the association of dairy intake with prevalence of metabolic syndrome (MetS) (cross-sectionally) and with incident hypertension and incident diabetes (prospectively) in a large multinational cohort study. Methods The Prospective Urban Rural Epidemiology (PURE) study is a prospective epidemiological study of individuals aged 35 and 70 years from 21 countries on five continents, with a median follow-up of 9.1 years. In the cross-sectional analyses , we assessed the association of dairy intake with prevalent MetS and its components among individuals with information on the five MetS components (n=112 922). For the prospective analyses , we examined the association of dairy with incident hypertension (in 57 547 individuals free of hypertension) and diabetes (in 131 481 individuals free of diabetes). Results In cross-sectional analysis, higher intake of total dairy (at least two servings/day compared with zero intake; OR 0.76, 95% CI 0.71 to 0.80, p-trend<0.0001) was associated with a lower prevalence of MetS after multivariable adjustment. Higher intakes of whole fat dairy consumed alone (OR 0.72, 95% CI 0.66 to 0.78, p-trend<0.0001), or consumed jointly with low fat dairy (OR 0.89, 95% CI 0.80 to 0.98, p-trend=0.0005), were associated with a lower MetS prevalence. Low fat dairy consumed alone was not associated with MetS (OR 1.03, 95% CI 0.77 to 1.38, p-trend=0.13). In prospective analysis, 13 640 people with incident hypertension and 5351 people with incident diabetes were recorded. Higher intake of total dairy (at least two servings/day vs zero serving/day) was associated with a lower incidence of hypertension (HR 0.89, 95% CI 0.82 to 0.97, p-trend=0.02) and diabetes (HR 0.88, 95% CI 0.76 to 1.02, p-trend=0.01). Directionally similar associations were found for whole fat dairy versus each outcome. Conclusions Higher intake of whole fat (but not low fat) dairy was associated with a lower prevalence of MetS and most of its component factors, and with a lower incidence of hypertension and diabetes. Our findings should be evaluated in large randomized trials of the effects of whole fat dairy on the risks of MetS, hypertension, and diabetes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.370
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations114
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueBMJ Open Diabetes Research & CareSame topicNutritional Studies and DietFrench-language works237,207