Evidence map›Paper›PMID 34835937›Full record

ArticleNutrients2021

Reduced Rank Regression-Derived Dietary Patterns Related to the Fatty Liver Index and Associations with Type 2 Diabetes Mellitus among Ghanaian Populations under Transition: The RODAM Study.

Tracy Bonsu Osei, Anne-Marieke van Dijk, Sjoerd Dingerink, Felix Patience Chilunga, Erik Beune, Karlijn Anna Catharina Meeks, Silver Bahendeka, Matthias Bernd Schulze, Charles Agyemang, Mary Nicolaou and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

12 authors at 5 institutions in 4 countries.

Tracy Bonsu OseiHeidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, Heidelberg University, 69120 Heidelberg, Germany.ORCID 0000-0002-5228-4274
Anne-Marieke van DijkDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0003-0831-527X
Sjoerd DingerinkDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0003-0985-4697
Felix Patience ChilungaDepartment of Public Health, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Erik BeuneDepartment of Public Health, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Karlijn Anna Catharina MeeksDepartment of Public Health, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0003-3032-405X
Silver BahendekaDepartment of Internal Medicine, St. Francis Hospital Nsambya, MKPGMS-Uganda Martyrs University, Kampala 5498, Uganda.ORCID 0000-0001-8080-7872
Matthias Bernd SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany.ORCID 0000-0002-0830-5277
Charles AgyemangDepartment of Public Health, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0002-3882-7295
Mary NicolaouDepartment of Public Health, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Adriaan Georgius HolleboomDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Ina DanquahHeidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, Heidelberg University, 69120 Heidelberg, Germany.ORCID 0000-0003-3222-3498
Amsterdam University Medical Centers · NLHeidelberg University · DENational Human Genome Research Institute · USUganda Martyrs University · UGUniversity of Potsdam · DE

Funding

Deutscher Akademischer Austauschdienst 91732524Robert Bosch Stiftung 0100035002RODAM Study 278901
6 · The paper itself

Abstract

The Fatty Liver Index (FLI) is a proxy for the steatotic component of non-alcoholic fatty liver disease (NAFLD). For sub-Saharan African populations, the contribution of dietary factors to the development of NAFLD in the etiology of type 2 diabetes mellitus (T2DM) remains to be clarified. We identified sex-specific dietary patterns (DPs) related to the FLI using reduced ranked regression (RRR) and evaluated the associations of these DPs with T2DM. This analysis used data from the RODAM, a multi-center cross-sectional study of Ghanaian populations living in Ghana and Europe. The daily intake frequencies of 30 food groups served as the predictor variables, while the FLI was the response variable. The odds ratios and 95% confidence intervals for T2DM were calculated per one standard deviation increase in the DP score using logistic regression. In males, the DP score explained 9.9% of the variation in their food intake and 16.0% of the variation in the FLI. This DP was characterized by high intakes of poultry, whole-grain cereals, coffee and tea, condiments, and potatoes, and the chance of T2DM was 45% higher per 1 DP score-SD (Model 2). Our results indicate that the intake of modernized foods was associated with proxies of NAFLD, possibly underlying the metabolic pathways to developing T2DM.

Indexed as

AdultBlack PeopleCross-Sectional StudiesDiabetes Mellitus, Type 2DietEuropeFeeding BehaviorFemaleGhanaHumansMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseOdds RatioRegression AnalysisSeverity of Illness Indexdietary patternfatty liver indexnon-alcoholic fatty liver diseasereduced rank regressiontype 2 diabetes mellitus

Identifiers

PMID34835937
PMCPMC8620643
OpenAlexW3206319135

What OpenQuestion holds

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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.