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Fortuin-de Smidt MC, Sewe MO, Lassale C, Weiderpass E, Andersson J, Huerta JM, Ekelund U, Aleksandrova K, Tong TY, Dahm CC, Tjønneland A, Kyrø C, Steindorf K, Schulze MB, Katzke V, Sacerdote C, Agnoli C, Masala G, Tumino R, Panico S, Boer JM, Onland-Moret NC, Wendel-Vos GW, van der Schouw YT, Borch KB, Agudo A, Petrova D, Chirlaque MD, Conchi MI, Amiano P, Melander O, Heath AK, Aune D, Forouhi NG, Langenberg C, Brage S, Riboli E, Wareham NJ, Danesh J, Butterworth AS, Wennberg P. Physical activity attenuates but does not eliminate coronary heart disease risk amongst adults with risk factors: EPIC-CVD case-cohort study. Eur J Prev Cardiol 2022; 29:1618-1629. [PMID: 35403197 DOI: 10.1093/eurjpc/zwac055] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 02/02/2023]
Abstract
AIMS This study aimed to evaluate the association between physical activity and the incidence of coronary heart disease (CHD) in individuals with and without CHD risk factors. METHODS AND RESULTS EPIC-CVD is a case-cohort study of 29 333 participants that included 13 582 incident CHD cases and a randomly selected sub-cohort nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Self-reported physical activity was summarized using the Cambridge physical activity index (inactive, moderately inactive, moderately active, and active). Participants were categorized into sub-groups based on the presence or the absence of the following risk factors: obesity (body mass index ≥30 kg/m2), hypercholesterolaemia (total cholesterol ≥6.2 mmol/L), history of diabetes, hypertension (self-reported or ≥140/90 mmHg), and current smoking. Prentice-weighted Cox regression was used to assess the association between physical activity and incident CHD events (non-fatal and fatal).Compared to inactive participants without the respective CHD risk factor (referent), excess CHD risk was highest in physically inactive and lowest in moderately active participants with CHD risk factors. Corresponding excess CHD risk estimates amongst those with obesity were 47% [95% confidence interval (CI) 32-64%] and 21% (95%CI 2-44%), with hypercholesterolaemia were 80% (95%CI 55-108%) and 48% (95%CI 22-81%), with hypertension were 80% (95%CI 65-96%) and 49% (95%CI 28-74%), with diabetes were 142% (95%CI 63-260%), and 100% (95%CI 32-204%), and amongst smokers were 152% (95%CI 122-186%) and 109% (95%CI 74-150%). CONCLUSIONS In people with CHD risk factors, moderate physical activity, equivalent to 40 mins of walking per day, attenuates but does not completely offset CHD risk.
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Affiliation(s)
- Melony C Fortuin-de Smidt
- Department of Public Health and Clinical Medicine, Umeå University, Universitetstorget 4, 901 87, Umeå, Sweden
| | - Maquins Odhiambo Sewe
- Department of Public Health and Clinical Medicine, Umeå University, Universitetstorget 4, 901 87, Umeå, Sweden
| | - Camille Lassale
- Cardiovascular epidemiology and genetics, Hospital del Mar Research Institute (IMIM), Carrer del Dr. Aiguader, 88, 08003, Barcelona, Spain
- CIBER of Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372, Lyon, France
| | - Jonas Andersson
- Department of Public Health and Clinical Medicine, Skellefteå Research Unit, Umeå University, Lasarettsvägen 29, 931 41, Skellefteå, Sweden
| | - José María Huerta
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, 30120 El Palmar, Murcia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Science, Sognsveien 220, 0863 Oslo, Norway
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Lovisenberggata 8, 0456, Oslo, Norway
| | - Krasimira Aleksandrova
- Department Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany
- Faculty of Human and Health Sciences, University of Bremen, Grazer Straße 2, 28359, Bremen, Germany
| | - Tammy Yn Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford OX3 7LF, United Kingdom
| | - Christina C Dahm
- Department of Public Health, Aarhus University, Bartholins Allé 2, 8000, Aarhus, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1353, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ) Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- Institute for Nutritional Science, University of Potsdam, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Via Santena 7, 10126, Turin, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo II Vecchio 2, 50139, Florence, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE-ONLUS, Via Giuseppe di Vittoria 49, 97100, Ragusa, Italy
| | - Salvatore Panico
- Dipartimento di medicina clinica e chirurgia, Federico II University, Corso Umberto I 40, 80138, Naples, Italy
| | - Jolanda Ma Boer
- National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Gc Wanda Wendel-Vos
- National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Kristin Benjaminsen Borch
- Department of Community Medicine, UiT, The Arctic University of Norway, Hansine Hansens veg 18, 9019, Tromsø, Norway
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Avinguda de la Granvia de l'Hospitalet, 199-203, 08908, Barcelona, Spain
- Nutrition and Cancer Group; Epidemiology, Public Health, Cancer Prevention and Palliative Care Program; Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Avinguda de la Granvia de l'Hospitalet, 199, 08908, Barcelona, Spain
| | - Dafina Petrova
- Escuela Andaluza de Salud Pública (EASP), Cta. del Observatorio 4,18011 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Av. De Madrid 15, 18012 Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), C/ Montforte de Lemos 3-5, 28029 Madrid, Spain
| | - María Dolores Chirlaque
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, 30120 El Palmar, Murcia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Moreno Iribas Conchi
- Navarra Public Health Institute, IdiSNA, C. de Irunlarrea, 3, 31008, Pamplona, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), C. de Irunlarrea, 3, 31008 Pamplona, Spain
| | - Pilar Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, Paseo Dr Bergiristain, s/n, 20014, San Sebastián, Spain
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, Malmö, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Carl-Bertil Laurells gata 9, 214 28, Malmö, Sweden
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
- Department of Nutrition, Bjørknes University College, Lovisenberggata 13, 0456, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Trondheimsveien 235, 0586, Oslo, Norway
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 6, 171 77, Stockholm, Sweden
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
- Computational Medicine, Berlin Institute of Health, Charité-University Medicine Berlin, Anna-Louisa-Karsch-Straße 2, 10178, Berlin, Germany
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, 2 Worts's Causeway, Cambridge CB1 8RN, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, 2 Worts's Causeway, Cambridge CB1 8RN, United Kingdom
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge CB2 0QQ, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Saffron Walden CB10 1SA, United Kingdom
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, United Kingdom
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, 2 Worts's Causeway, Cambridge CB1 8RN, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, 2 Worts's Causeway, Cambridge CB1 8RN, United Kingdom
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Hills Road, Cambridge CB2 0QQ, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Saffron Walden CB10 1SA, United Kingdom
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Universitetstorget 4, 901 87, Umeå, Sweden
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Kovell LC, Yeung EH, Miller ER, Appel LJ, Christenson RH, Rebuck H, Schulman SP, Juraschek SP. Healthy diet reduces markers of cardiac injury and inflammation regardless of macronutrients: Results from the OmniHeart trial. Int J Cardiol 2020; 299:282-288. [PMID: 31447226 PMCID: PMC7172033 DOI: 10.1016/j.ijcard.2019.07.102] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 06/11/2019] [Accepted: 07/31/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Despite diet being a first-line strategy for preventing cardiovascular disease, the optimal macronutrient profile remains unclear. We studied the effects of macronutrient profile on subclinical cardiovascular injury and inflammation. METHODS OmniHeart was a randomized 3-period, crossover feeding study in 164 adults with high blood pressure or hypertension (SBP 120-159 or DBP 80-99 mm Hg). Participants were fed each of 3 diets (emphasizing carbohydrate (CARB), protein (PROT), or unsaturated fat (UNSAT)) for 6-weeks, with feeding periods separated by a washout period. Weight was held constant. Fasting serum was collected at baseline while participants ate their own diets and after each feeding period. High-sensitivity cardiac troponin I (hs-cTnI) and high-sensitivity C-reactive protein (hs-CRP) were measured in stored specimens. RESULTS The average age was 53.6 years, 55% were African American, and 45% were women. At baseline, the median (25th-percentile, 75th-percentile) hs-cTnI was 3.3 ng/L (1.9, 5.6) and hs-CRP was 2.2 mg/L (1.1, 5.2). Compared to baseline, all 3 diets reduced hs-cTnI: CARB -8.6% (95%CI: -16.1, -0.4), PROT -10.8% (-18.4, -2.5), and UNSAT -9.4% (-17.4, -0.5). Hs-CRP was similarly changed by -13.9 to -17.0%. Hs-cTnI and hs-CRP reductions were of similar magnitudes as SBP and low-density lipoprotein cholesterol (LDLc) but were not associated with these risk-factor reductions (P-values = 0.09). There were no between-diet differences in hs-cTnI and hs-CRP reductions. CONCLUSIONS Healthy diet, regardless of macronutrient emphasis, directly mitigated subclinical cardiac injury and inflammation in a population at risk for cardiovascular disease. These findings support dietary recommendations emphasizing healthy foods rather than any one macronutrient. TRIAL REGISTRATION This trial is registered at clinicaltrials.gov, number: NCT00051350; URL: https://clinicaltrials.gov/ct2/show/NCT00051350.
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Affiliation(s)
- Lara C Kovell
- Division of Cardiology, University of Massachusetts Medical School, Worcester, MA, United States of America
| | - Edwina H Yeung
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States of America
| | - Edgar R Miller
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, United States of America
| | - Lawrence J Appel
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, United States of America
| | - Robert H Christenson
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States of America
| | - Heather Rebuck
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States of America
| | - Steven P Schulman
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Stephen P Juraschek
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
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