Evidence map›Paper›PMID 28225055›Full record

SynthesisEuropean journal of clinical nutrition2017

Alcoholic beverage preference and diabetes incidence across Europe: the Consortium on Health and Ageing Network of Cohorts in Europe and the United States (CHANCES) project.

D Sluik, N Jankovic, M Hughes, M G O'Doherty, B Schöttker, W Drygas, O Rolandsson, S Männistö, J M Ordóñez-Mena, J Ferrieres and 19 more

Abstract readMeta-Analysis
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In one paragraph

Synthesis in European journal of clinical nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

D SluikDivision of Human Nutrition, Wageningen University, Wageningen, The Netherlands.
N JankovicDivision of Human Nutrition, Wageningen University, Wageningen, The Netherlands.
M HughesUKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry, and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland.
M G O'DohertyUKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry, and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland.
B SchöttkerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
W DrygasDepartment of Epidemiology, CVD Prevention and Health Promotion, Institute of Cardiology, Warsaw, Poland.
O RolandssonDepartment of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden.
S MännistöDepartment of Health, National Institute for Health and Welfare (THL), Helsinki, Finland.
J M Ordóñez-MenaDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
J FerrieresDepartment of Cardiology, Toulouse University School of Medicine, Toulouse, France.
C BamiaHellenic Health Foundation, Athens, Greece.
G de GaetanoDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy.
J C Kiefte-De JongGlobal Public Health, Leiden University College, The Hague, The Netherlands.
O H FrancoDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
I SluijsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
A M W SpijkermanNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
S SansCatalan Department of Health, Barcelona, Spain.
S ErikssonDepartment of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden.
D KromhoutDivision of Human Nutrition, Wageningen University, Wageningen, The Netherlands.
A TrichopoulouHellenic Health Foundation, Athens, Greece.
T WilsgaardDepartment of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway.
H BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
K KuulasmaaDepartment of Health, National Institute for Health and Welfare (THL), Helsinki, Finland.
T LaatikainenDepartment of Health, National Institute for Health and Welfare (THL), Helsinki, Finland.
S SöderbergDepartment of Public Health and Clinical Medicine, Cardiology and Heart Centre, Umeå University, Umeå, Sweden.
L IacovielloDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy.
P BoffettaHellenic Health Foundation, Athens, Greece.
F KeeUKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry, and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland.
E J M FeskensDivision of Human Nutrition, Wageningen University, Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesIt is unknown if wine, beer and spirit intake lead to a similar association with diabetes. We studied the association between alcoholic beverage preference and type 2 diabetes incidence in persons who reported to consume alcohol. SUBJECTS/

methodsTen European cohort studies from the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States were included, comprising participant data of 62 458 adults who reported alcohol consumption at baseline. Diabetes incidence was based on documented and/or self-reported diagnosis during follow-up. Preference was defined when ⩾70% of total alcohol consumed was either beer, wine or spirits. Adjusted hazard ratios (HRs) were computed using Cox proportional hazard regression. Single-cohort HRs were pooled by random-effects meta-analysis.

resultsBeer, wine or spirit preference was not related to diabetes risk compared with having no preference. The pooled HRs were HR 1.06 (95% confidence interval (CI) 0.93, 1.20) for beer, HR 0.99 (95% CI 0.88, 1.11) for wine, and HR 1.19 (95% CI 0.97, 1.46) for spirit preference. Absolute wine intake, adjusted for total alcohol, was associated with a lower diabetes risk: pooled HR per 6 g/day was 0.96 (95% CI 0.93, 0.99). A spirit preference was related to a higher diabetes risk in those with a higher body mass index, in men and women separately, but not after excluding persons with prevalent diseases.

conclusionsThis large individual-level meta-analysis among persons who reported alcohol consumption revealed that the preference for beer, wine, and spirits was similarly associated with diabetes incidence compared with having no preference.

Indexed as

AgingAlcohol DrinkingAlcoholic BeveragesBody Mass IndexDiabetes Mellitus, Type 2EuropeHumansIncidenceLife StyleRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesUnited States

Identifiers

PMID28225055

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.