Evidence map›Paper›PMID 33847346›Full record

ArticleThe Journal of nutrition2021

Dietary Macronutrient Composition in Relation to Circulating HDL and Non-HDL Cholesterol: A Federated Individual-Level Analysis of Cross-Sectional Data from Adolescents and Adults in 8 European Studies.

Mariona Pinart, Stephanie Jeran, Heiner Boeing, Marta Stelmach-Mardas, Marie Standl, Holger Schulz, Carla Harris, Andrea von Berg, Gunda Herberth, Sybille Koletzko and 20 more

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Article in The Journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 17 institutions in 7 countries.

Mariona PinartMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Stephanie JeranMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.ORCID 0000-0002-3358-1775
Marta Stelmach-MardasDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.
Marie StandlHelmholtz Centre Munich-German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg/Munich, Germany.
Holger SchulzHelmholtz Centre Munich-German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg/Munich, Germany.
Carla HarrisHelmholtz Centre Munich-German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg/Munich, Germany.
Andrea von BergDepartment of Pediatrics, Research Institute, Marien-Hospital Wesel, Wesel, Germany.
Gunda HerberthDepartment of Environmental Immunology, Helmholtz Centre for Environmental Research-Zentrum für Umweltforschung (UFZ), Leipzig, Germany.
Sybille KoletzkoDepartment of Pediatrics, Dr. von Hauner Children's Hospital, LMU - Ludwig Maximilian University Hospital, University of Munich, Munich, Germany.
Jakob LinseisenHelmholtz Centre Munich, Clinical Epidemiology, Neuherberg/Munich, Germany.
Taylor A BreuningerHelmholtz Centre Munich, Clinical Epidemiology, Neuherberg/Munich, Germany.
Ute NöthlingsDepartment of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.
Janett BarbareskoDepartment of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.ORCID 0000-0003-0855-2769
Stefan BendaDepartment of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.
Carl LachatDepartment of Food Technology, Safety and Health, Ghent University, Ghent, Belgium.
Chen YangDepartment of Food Technology, Safety and Health, Ghent University, Ghent, Belgium.ORCID 0000-0001-9202-5309
Paolo GaspariniDepartment of Medical Sciences, University of Trieste, Trieste, Italy.
Antonietta RobinoInstitute for Maternal and Child Health-Mother and Child Referral Hospital and Research Institute (IRCCS) "Burlo Garofolo," Trieste, Italy.
Gemma Rojo-MartínezSpanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.
Luís CastañoSpanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Rare Diseases Networking Biomedical Research Centre (CIBERER), BioCruces-University Hospital Cruces-The University of the Basque Country (Basque: Euskal Herriko Unibertsitatea/Spanish: Universidad del País Vasco [UPV/EHU]), Barakaldo, Spain.
Michèle GuillaumeDepartment of Public Health, University of Liège, Liège, Belgium.
Anne-Françoise DonneauDepartment of Public Health, University of Liège, Liège, Belgium.
Axelle HogeDepartment of Public Health, University of Liège, Liège, Belgium.
Nicolas GillainDepartment of Public Health, University of Liège, Liège, Belgium.
Demetris AvraamPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Paul R BurtonPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Jildau BouwmanResearch group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Zeist, The Netherlands.
Tobias PischonMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Katharina NimptschMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Helmholtz Zentrum München · DEMax Delbrück Center · DEUniversity of Liège · BEUniversity of Bonn · DEGhent University · BENewcastle University · GBCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESGerman Institute of Human Nutrition · DEHelmholtz Centre for Environmental Research · DEIRCCS Materno Infantile Burlo Garofolo · ITMarien Hospital Wesel · DENetherlands Organisation for Applied Scientific Research · NLPoznan University of Medical Sciences · PLUniversity Hospital Augsburg · DEUniversity of the Basque Country · ESUniversity of Trieste · ITUniversity of Warmia and Mazury in Olsztyn · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssociations between increased dietary fat and decreased carbohydrate intake with circulating HDL and non-HDL cholesterol have not been conclusively determined.

objectiveWe assessed these relations in 8 European observational human studies participating in the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) using harmonized data.

methodsDietary macronutrient intake was recorded using study-specific dietary assessment tools. Main outcome measures were lipoprotein cholesterol concentrations: HDL cholesterol (mg/dL) and non-HDL cholesterol (mg/dL). A cross-sectional analysis on 5919 participants (54% female) aged 13-80 y was undertaken using the statistical platform DataSHIELD that allows remote/federated nondisclosive analysis of individual-level data. Generalized linear models (GLM) were fitted to assess associations between replacing 5% of energy from carbohydrates with equivalent energy from total fats, SFAs, MUFAs, or PUFAs with circulating HDL cholesterol and non-HDL cholesterol. GLM were adjusted for study source, age, sex, smoking status, alcohol intake and BMI.

resultsThe replacement of 5% of energy from carbohydrates with total fats or MUFAs was statistically significantly associated with 0.67 mg/dL (95% CI: 0.40, 0.94) or 0.99 mg/dL (95% CI: 0.37, 1.60) higher HDL cholesterol, respectively, but not with non-HDL cholesterol concentrations. The replacement of 5% of energy from carbohydrates with SFAs or PUFAs was not associated with HDL cholesterol, but SFAs were statistically significantly associated with 1.94 mg/dL (95% CI: 0.08, 3.79) higher non-HDL cholesterol, and PUFAs with -3.91 mg/dL (95% CI: -6.98, -0.84) lower non-HDL cholesterol concentrations. A statistically significant interaction by sex for the association of replacing carbohydrates with MUFAs and non-HDL cholesterol was observed, showing a statistically significant inverse association in males and no statistically significant association in females. We observed no statistically significant interaction by age.

conclusionsThe replacement of dietary carbohydrates with fats had favorable effects on lipoprotein cholesterol concentrations in European adolescents and adults when fats were consumed as MUFAs or PUFAs but not as SFAs.

Indexed as

Dietary FatsFatty AcidsAdolescentCholesterol, HDLCross-Sectional StudiesDietFemaleHumansMaleNutrientsObservational Studies as TopicCholesterol, HDLDietary FatsFatty AcidsNutrientsadolescentsadultsblood lipidscarbohydratesdata integrationdata sharingdietary intakeenergy density modelsfatty acidssubstitution

Identifiers

PMID33847346
OpenAlexW3153431019

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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.