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

Author:

Pinart Mariona1,Jeran Stephanie1,Boeing Heiner2ORCID,Stelmach-Mardas Marta23,Standl Marie4,Schulz Holger4,Harris Carla45,von Berg Andrea6,Herberth Gunda7,Koletzko Sybille89,Linseisen Jakob1011,Breuninger Taylor A10,Nöthlings Ute12,Barbaresko Janett1213ORCID,Benda Stefan12,Lachat Carl14,Yang Chen14ORCID,Gasparini Paolo1516,Robino Antonietta16,Rojo-Martínez Gemma1718,Castaño Luís19,Guillaume Michèle20,Donneau Anne-Françoise20,Hoge Axelle20,Gillain Nicolas20,Avraam Demetris21,Burton Paul R21,Bouwman Jildau22,Pischon Tobias1232425,Nimptsch Katharina1

Affiliation:

1. Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany

2. Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany

3. Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, Poznan, Poland

4. Helmholtz Centre Munich-German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg/Munich, Germany

5. Division of Metabolic and Nutritional Medicine, LMU – Ludwig Maximilian University Munich, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany

6. Department of Pediatrics, Research Institute, Marien-Hospital Wesel, Wesel, Germany

7. Department of Environmental Immunology, Helmholtz Centre for Environmental Research-Zentrum für Umweltforschung (UFZ), Leipzig, Germany

8. Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU – Ludwig Maximilian University Hospital, University of Munich, Munich, Germany

9. Department of Pediatrics, Gastroenterology and Nutrition, School of Medicine Collegium Medicum University of Warmia and Mazury, Olsztyn, Poland

10. Helmholtz Centre Munich, Clinical Epidemiology, Neuherberg/Munich, Germany

11. Ludwig Maximilians University (LMU) Munich, Medical Faculty, Chair of Epidemiology at University Center for Health Sciences at the Klinikum Augsburg (UNIKA-T), Ausburg, Germany

12. Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany

13. Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany

14. Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium

15. Department of Medical Sciences, University of Trieste, Trieste, Italy

16. Institute for Maternal and Child Health-Mother and Child Referral Hospital and Research Institute (IRCCS) “Burlo Garofolo,” Trieste, Italy

17. Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain

18. Clinical Management Unit (CMU) Endocrinology and Nutrition, Regional University Hospital of Malaga, Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain

19. Spanish 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

20. Department of Public Health, University of Liège, Liège, Belgium

21. Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom

22. Research group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Zeist, The Netherlands

23. Charité University Medicine Berlin, Berlin, Germany

24. Max Delbrück Center for Molecular Medicine (MDC)/Berlin Institute of Health (BIH) Biobank, Berlin, Germany

25. German Centre for Cardiovascular Research (DZHK), Berlin, Germany

Abstract

ABSTRACT Background Associations between increased dietary fat and decreased carbohydrate intake with circulating HDL and non-HDL cholesterol have not been conclusively determined. Objective We assessed these relations in 8 European observational human studies participating in the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) using harmonized data. Methods Dietary 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. Results The 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. Conclusions The 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.

Funder

Joint Programming Initiative A healthy diet for a healthy life

German Ministry of Food and Agriculture

Federal Office for Agriculture and Food

German Ministry of Education and Research

GINIplus

LISA

Helmholtz Centre Munich

Helmholtz Centre for Environmental Research

IUF

Federal Ministry for Education, Science, Research and Technology

Commission of the European Communities

7th Framework Program: MeDALL

LMU Munich

Research Foundation Flanders

China Scholarship Council

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

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