Evidence map›Paper›PMID 28948398›Full record

ArticleEuropean journal of nutrition2018

Food variety, dietary diversity, and type 2 diabetes in a multi-center cross-sectional study among Ghanaian migrants in Europe and their compatriots in Ghana: the RODAM study.

Ina Danquah, Cecilia Galbete, Karlijn Meeks, Mary Nicolaou, Kerstin Klipstein-Grobusch, Juliet Addo, Ama de-Graft Aikins, Stephen K Amoah, Peter Agyei-Baffour, Daniel Boateng and 8 more

Abstract readMulticenter Study
In one paragraph

Article in European journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

18 authors.

Ina DanquahDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany. ina.danquah@dife.de.ORCID http://orcid.org/0000-0003-3222-3498
Cecilia GalbeteDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.
Karlijn MeeksDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Mary NicolaouDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Kerstin Klipstein-GrobuschJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Juliet AddoDepartment of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Ama de-Graft AikinsRegional Institute for Population Studies, University of Ghana, Legon-Accra, Ghana.
Stephen K AmoahInstitute of Tropical Medicine and International Health, Charité-Universitaetsmedizin Berlin, Corporate Member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Peter Agyei-BaffourFaculty of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Daniel BoatengJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
George Bedu-AddoSchool of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Joachim SprangerDepartment of Endocrinology and Metabolism, DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Center for Cardiovascular Research (CCR), Charité-Universitaetsmedizin Berlin, Corporate Member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Liam SmeethDepartment of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Ellis Owusu-DaboFaculty of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Charles AgyemangDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Frank P MockenhauptInstitute of Tropical Medicine and International Health, Charité-Universitaetsmedizin Berlin, Corporate Member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Erik BeuneDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.

Funding

Bundesministerium für Bildung und Forschung 01EA1408A-GSeventh Framework Programme 278901
6 · The paper itself

Abstract

purposeThe importance of dietary diversification for type 2 diabetes (T2D) risk remains controversial. We investigated associations of between- and within-food group variety with T2D, and the role of dietary diversification for the relationships between previously identified dietary patterns (DPs) and T2D among Ghanaian adults.

methodsIn the multi-center cross-sectional Research on Obesity and Diabetes among African Migrants (RODAM) Study (n = 3810; Ghanaian residence, 56%; mean age, 46.2 years; women, 63%), we constructed the Food Variety Score (FVS; 0-20 points), the Dietary Diversity Score (DDS; 0-7 points), and the Diet Quality Index-International (DQI-I) variety component (0-20 points). The associations of these scores, of a "rice, pasta, meat and fish" DP, of a "mixed" DP, and of a "roots, tubers and plantain" DP with T2D were calculated by logistic regression.

resultsThe FVS was inversely associated with T2D, adjusted for socio-demographic, lifestyle, and anthropometric factors [odds ratio (OR) for T2D per 1 standard deviation (SD) increase: 0.81; 95% confidence interval (CI) 0.71-0.93]. The DDS and the DQI-I variety component were not associated with T2D. There was no association of the "mixed" DP and the "roots, tubers and plantain" DP with T2D. Yet, the "rice, pasta, meat and fish" DP is inversely associated with T2D (OR for T2D per 1 SD increase: 0.82; 95% CI 0.71-0.95); this effect was slightly attenuated by the FVS.

conclusionsIn this Ghanaian population, between-food group variety may exert beneficial effects on glucose metabolism and partially explains the inverse association of the "rice, pasta, meat and fish" DP with T2D.

Indexed as

DietEmigrants and ImmigrantsAdultAgedCross-Sectional StudiesDiabetes Mellitus, Type 2EuropeFemaleGhanaHumansLife StyleMaleMiddle AgedNutrition AssessmentSocioeconomic FactorsAfricaDietary diversityDietary patternsFood varietyType 2 diabetes

Identifiers

PMID28948398
PMCPMC6267387

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Registered trials

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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.