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Ferini-Strambi L, Liguori C, Lucey BP, Mander BA, Spira AP, Videnovic A, Baumann C, Franco O, Fernandes M, Gnarra O, Krack P, Manconi M, Noain D, Saxena S, Kallweit U, Randerath W, Trenkwalder C, Rosenzweig I, Iranzo A, Bradicich M, Bassetti C. Correction to: Role of sleep in neurodegeneration: the consensus report of the 5th Think Tank World Sleep Forum. Neurol Sci 2024; 45:1813. [PMID: 38326667 DOI: 10.1007/s10072-024-07391-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Affiliation(s)
- Luigi Ferini-Strambi
- Sleep Disorders Center, Division of Neuroscience, Università Vita-Salute San Raffaele, Milan, Italy.
| | - Claudio Liguori
- Sleep Medicine Center, University of Rome Tor Vergata, Rome, Italy
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aleksandar Videnovic
- Department of Neurology, Division of Sleep Medicine, Massachussets General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian Baumann
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | | | - Oriella Gnarra
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Paul Krack
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Mauro Manconi
- Sleep Medicine Unit, Faculty of Biomedical Sciences, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Università Della Svizzera Italiana, Lugano, Switzerland
| | - Daniela Noain
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Smita Saxena
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Ulf Kallweit
- Clinical Sleep and Neuroimmunology, University Witten/Herdecke, Witten, Germany
| | | | - C Trenkwalder
- Department of Neurosurgery, Paracelsus-Elena Klinik, University Medical Center, KasselGoettingen, Germany
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, King's College London, London, UK
| | - Alex Iranzo
- Sleep Center, Neurology Service, Hospital Clinic de Barcelona, Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Matteo Bradicich
- Department of Pulmonology and Sleep Disorders Centre, University Hospital Zurich, Zurich, Switzerland
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Ferini-Strambi L, Liguori C, Lucey BP, Mander BA, Spira AP, Videnovic A, Baumann C, Franco O, Fernandes M, Gnarra O, Krack P, Manconi M, Noain D, Saxena S, Kallweit U, Randerath W, Trenkwalder C, Rosenzweig I, Iranzo A, Bradicich M, Bassetti C. Role of sleep in neurodegeneration: the consensus report of the 5th Think Tank World Sleep Forum. Neurol Sci 2024; 45:749-767. [PMID: 38087143 DOI: 10.1007/s10072-023-07232-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/26/2023] [Indexed: 01/18/2024]
Abstract
Sleep abnormalities may represent an independent risk factor for neurodegeneration. An international expert group convened in 2021 to discuss the state-of-the-science in this domain. The present article summarizes the presentations and discussions concerning the importance of a strategy for studying sleep- and circadian-related interventions for early detection and prevention of neurodegenerative diseases. An international expert group considered the current state of knowledge based on the most relevant publications in the previous 5 years; discussed the current challenges in the field of relationships among sleep, sleep disorders, and neurodegeneration; and identified future priorities. Sleep efficiency and slow wave activity during non-rapid eye movement (NREM) sleep are decreased in cognitively normal middle-aged and older adults with Alzheimer's disease (AD) pathology. Sleep deprivation increases amyloid-β (Aβ) concentrations in the interstitial fluid of experimental animal models and in cerebrospinal fluid in humans, while increased sleep decreases Aβ. Obstructive sleep apnea (OSA) is a risk factor for dementia. Studies indicate that positive airway pressure (PAP) treatment should be started in patients with mild cognitive impairment or AD and comorbid OSA. Identification of other measures of nocturnal hypoxia and sleep fragmentation could better clarify the role of OSA as a risk factor for neurodegeneration. Concerning REM sleep behavior disorder (RBD), it will be crucial to identify the subset of RBD patients who will convert to a specific neurodegenerative disorder. Circadian sleep-wake rhythm disorders (CSWRD) are strong predictors of caregiver stress and institutionalization, but the absence of recommendations or consensus statements must be considered. Future priorities include to develop and validate existing and novel comprehensive assessments of CSWRD in patients with/at risk for dementia. Strategies for studying sleep-circadian-related interventions for early detection/prevention of neurodegenerative diseases are required. CSWRD evaluation may help to identify additional biomarkers for phenotyping and personalizing treatment of neurodegeneration.
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Affiliation(s)
- Luigi Ferini-Strambi
- Sleep Disorders Center, Division of Neuroscience, Università Vita-Salute San Raffaele, Milan, Italy.
| | - Claudio Liguori
- Sleep Medicine Center, University of Rome Tor Vergata, Rome, Italy
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aleksandar Videnovic
- Department of Neurology, Division of Sleep Medicine, Massachussets General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian Baumann
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | | | - Oriella Gnarra
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Paul Krack
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Mauro Manconi
- Sleep Medicine Unit, Faculty of Biomedical Sciences, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Università Della Svizzera Italiana, Lugano, Switzerland
| | - Daniela Noain
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Smita Saxena
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Ulf Kallweit
- Clinical Sleep and Neuroimmunology, University Witten/Herdecke, Witten, Germany
| | | | - C Trenkwalder
- Department of Neurosurgery, Paracelsus-Elena Klinik, University Medical Center, KasselGoettingen, Germany
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, King's College London, London, UK
| | - Alex Iranzo
- Sleep Center, Neurology Service, Hospital Clinic de Barcelona, Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Matteo Bradicich
- Department of Pulmonology and Sleep Disorders Centre, University Hospital Zurich, Zurich, Switzerland
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Bundo M, Preisig M, Merikangas K, Glaus J, Vaucher J, Waeber G, Marques-Vidal P, Strippoli MPF, Müller T, Franco O, Vicedo-Cabrera AM. How ambient temperature affects mood: an ecological momentary assessment study in Switzerland. Environ Health 2023; 22:52. [PMID: 37430261 DOI: 10.1186/s12940-023-01003-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/28/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND Recent research has suggested that an increase in temperature can negatively affect mental health and increase hospitalization for mental illness. It is not clear, however, what factors or mechanisms mediate this association. We aimed to (1) investigate the associations between ambient temperatures and bad daily mood, and (2) identify variables affecting the strength of these associations (modifiers) including the time, the day of the week and the year of the mood rating, socio-demographic characteristics, sleep quality, psychiatric disorders and the personality trait neuroticism in the community. METHODS Data stemmed from the second follow-up evaluation of CoLaus|PsyCoLaus, a prospective cohort study conducted in the general population of Lausanne (Switzerland). The 906 participants rated their mood level four times a day during seven days using a cell phone app. Mixed-effects logistic regression was used to determine the association between daily maximum temperature and mood level. Participant ID was inserted as a random effect in the model, whereas the time of the day, the day of the week and the year were inserted as fixed effects. Models were controlled for several confounders (socio-demographic characteristics, sleep quality, weather parameters and air pollutants). Stratified analyses were conducted based on socio-demographic characteristics, sleep quality, presence of psychiatric disorders or a high neuroticism. RESULTS Overall, the probability of having a bad mood for the entire day decreased by 7.0% (OR: 0.93: 95% CI 0.88, 0.99) for each 5 °C increase in maximum temperature. A smaller and less precise effect (-3%; OR: 0.97: 95% CI 0.91, 1.03) was found when controlling for sunshine duration. A higher association was found in participants with bipolar disorder (-23%; OR: 0.77: 95% CI 0.51, 1.17) and in participants with a high neuroticism (-13%; OR: 0.87 95% CI 0.80, 0.95), whereas the association was reversed for participants with anxiety (20%; OR: 1.20: 95% CI 0.90, 1.59), depression (18%; OR: 1.18 95% CI 0.94, 1.48) and schizophrenia (193%; OR: 2.93 95% CI 1.17, 7.73). CONCLUSIONS According to our findings, rising temperatures may positively affect mood in the general population. However, individuals with certain psychiatric disorders, such as anxiety, depression, and schizophrenia, may exhibit altered responses to heat, which may explain their increased morbidity when exposed to high temperatures. This suggests that tailored public health policies are required to protect this vulnerable population.
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Grants
- 801076 European Union's Horizon 2020 research and innovation programme
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
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Affiliation(s)
- Marvin Bundo
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | | | - Jennifer Glaus
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Julien Vaucher
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and University of Lausanne, Lausanne, Switzerland
- Department of Medicine and Specialties, Internal Medicine, Fribourg Hospital and University of Fribourg, Fribourg, Switzerland
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and University of Lausanne, Lausanne, Switzerland
| | - Marie-Pierre F Strippoli
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Thomas Müller
- Translational Research Center (TRC), University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Privatclinic Meiringen, Bern, Switzerland
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland.
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4
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Mathieson I, Day FR, Barban N, Tropf FC, Brazel DM, Vaez A, van Zuydam N, Bitarello BD, Gardner EJ, Akimova ET, Azad A, Bergmann S, Bielak LF, Boomsma DI, Bosak K, Brumat M, Buring JE, Cesarini D, Chasman DI, Chavarro JE, Cocca M, Concas MP, Davey Smith G, Davies G, Deary IJ, Esko T, Faul JD, Franco O, Ganna A, Gaskins AJ, Gelemanovic A, de Geus EJC, Gieger C, Girotto G, Gopinath B, Grabe HJ, Gunderson EP, Hayward C, He C, van Heemst D, Hill WD, Hoffmann ER, Homuth G, Hottenga JJ, Huang H, Hyppӧnen E, Ikram MA, Jansen R, Johannesson M, Kamali Z, Kardia SLR, Kavousi M, Kifley A, Kiiskinen T, Kraft P, Kühnel B, Langenberg C, Liew G, Lind PA, Luan J, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Mbarek H, McCarthy MI, McMahon G, Medland SE, Meitinger T, Metspalu A, Mihailov E, Milani L, Missmer SA, Mitchell P, Møllegaard S, Mook-Kanamori DO, Morgan A, van der Most PJ, de Mutsert R, Nauck M, Nolte IM, Noordam R, Penninx BWJH, Peters A, Peyser PA, Polašek O, Power C, Pribisalic A, Redmond P, Rich-Edwards JW, Ridker PM, Rietveld CA, Ring SM, Rose LM, Rueedi R, Shukla V, Smith JA, Stankovic S, Stefánsson K, Stöckl D, Strauch K, Swertz MA, Teumer A, Thorleifsson G, Thorsteinsdottir U, Thurik AR, Timpson NJ, Turman C, Uitterlinden AG, Waldenberger M, Wareham NJ, Weir DR, Willemsen G, Zhao JH, Zhao W, Zhao Y, Snieder H, den Hoed M, Ong KK, Mills MC, Perry JRB. Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus. Nat Hum Behav 2023; 7:790-801. [PMID: 36864135 DOI: 10.1038/s41562-023-01528-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 01/12/2023] [Indexed: 03/04/2023]
Abstract
Identifying genetic determinants of reproductive success may highlight mechanisms underlying fertility and identify alleles under present-day selection. Using data in 785,604 individuals of European ancestry, we identified 43 genomic loci associated with either number of children ever born (NEB) or childlessness. These loci span diverse aspects of reproductive biology, including puberty timing, age at first birth, sex hormone regulation, endometriosis and age at menopause. Missense variants in ARHGAP27 were associated with higher NEB but shorter reproductive lifespan, suggesting a trade-off at this locus between reproductive ageing and intensity. Other genes implicated by coding variants include PIK3IP1, ZFP82 and LRP4, and our results suggest a new role for the melanocortin 1 receptor (MC1R) in reproductive biology. As NEB is one component of evolutionary fitness, our identified associations indicate loci under present-day natural selection. Integration with data from historical selection scans highlighted an allele in the FADS1/2 gene locus that has been under selection for thousands of years and remains so today. Collectively, our findings demonstrate that a broad range of biological mechanisms contribute to reproductive success.
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Affiliation(s)
- Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Felix R Day
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Nicola Barban
- Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Felix C Tropf
- Nuffield College, University of Oxford, Oxford, UK
- École Nationale de la Statistique et de L'administration Économique (ENSAE), Paris, France
- Center for Research in Economics and Statistics (CREST), Paris, France
| | - David M Brazel
- Nuffield College, University of Oxford, Oxford, UK
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Natalie van Zuydam
- Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden
| | - Bárbara D Bitarello
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eugene J Gardner
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Evelina T Akimova
- Nuffield College, University of Oxford, Oxford, UK
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK
| | - Ajuna Azad
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sven Bergmann
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
| | - Lawrence F Bielak
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam, the Netherlands
| | | | - Marco Brumat
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Julie E Buring
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - David Cesarini
- Department of Economics, New York University, New York, NY, USA
- Research Institute for Industrial Economics, Stockholm, Sweden
- National Bureau of Economic Research, Cambridge, MA, USA
| | - Daniel I Chasman
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jorge E Chavarro
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Massimiliano Cocca
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | | | - Gail Davies
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Oscar Franco
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Andrea Ganna
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Audrey J Gaskins
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Eco J C de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Giorgia Girotto
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Bamini Gopinath
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Hans Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Chunyan He
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
- Department of Internal Medicine, Division of Medical Oncology, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - W David Hill
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Eva R Hoffmann
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Jouke Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Hongyang Huang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Elina Hyppӧnen
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
| | - Zoha Kamali
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Annette Kifley
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Gerald Liew
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hamdi Mbarek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Qatar Genome Programme, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - George McMahon
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | | | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Stacey A Missmer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Adolescent and Young Adult Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA
| | - Paul Mitchell
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Stine Møllegaard
- Department of Sociology, University of Copenhagen, Copenhagen, Denmark
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Anna Morgan
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam, the Netherlands
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Ozren Polašek
- University of Split School of Medicine, Split, Croatia
- Algebra University College, Zagreb, Croatia
| | - Chris Power
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | | | - Paul Redmond
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Janet W Rich-Edwards
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul M Ridker
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Cornelius A Rietveld
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | | | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Vallari Shukla
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Stasa Stankovic
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Doris Stöckl
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU, Munich, Germany
| | - Morris A Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | | | - A Roy Thurik
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands
- Montpellier Business School, Montpellier, France
| | | | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - André G Uitterlinden
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jing Hau Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Yajie Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marcel den Hoed
- Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden
| | - Ken K Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Melinda C Mills
- Nuffield College, University of Oxford, Oxford, UK.
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK.
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
- Department of Economics, Econometrics and Finance, University of Groningen, Groningen, the Netherlands.
| | - John R B Perry
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
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Ma H, Wang X, Xue Q, Li X, Liang Z, Heianza Y, Franco O, Qi L. Abstract 36: Life’s Essential 8 and Life Expectancy Among Adults in the United States. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.36] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Background:
Cardiovascular disease (CVD) may be the main reason for stagnant growth in life expectancy in the US since 2010. The American Heart Association (AHA) recently released updated algorithm for evaluating cardiovascular health (CVH)--life’s essential 8 (LE8) score.
Hypothesis:
We aimed to quantify the associations of CVH levels, estimated by the LE8 score, with life expectancy in a nationally representative sample of US adults.
Methods:
We included 23003 adults who participated in the National Health and Nutrition Examination Survey (NHANES) 2005-2018 and whose mortality was identified through linkage to the National Death Index through December 31, 2019. Life table method was used to estimate life expectancy by levels of the CVH. The cause-specific decomposition of the life expectancy differences was evaluated by the Arriaga’s method.
Results:
During a median of 7.8 years of follow-up, 1359 total deaths occurred (772 in men and 587 in women). The estimated life expectancy at age 50 was 25.5 years (95% CI, 23.8-27.2), 31.2 years (95% CI, 30.4-31.9) and 33.1 years (95% CI, 29.8-36.2) in men with poor, intermediate and ideal CVH, respectively. The corresponding estimated life expectancy at age 50 in women was 29.5 years (95% CI, 27.8-31.1), 34.2 years (95% CI, 33.5-34.9) and 38.4 years (95% CI, 35.4-41.0), respectively. Equivalently, men and women with ideal CVH had an average 7.5 (95% CI, 3.5-11.5) and 8.9 (95% CI, 5.2-12.5) more years of life expectancy at age 50, respectively, compared with their counterparts with poor CVH. In men, on average, 41.8 % of the gained life expectancy at age 50 from adhering to ideal CVH was attributable to reduced CVD death. The corresponding percentage was 44.1 % in women. Similarly significant associations of CVH with life expectancy were observed in Non-Hispanic Whites and Non-Hispanic Blacks but not in Mexican Americans.
Conclusions:
Adhering to an ideal CVH, defined as the LE8 score, is related to a considerably increased life expectancy in the US adults.
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Affiliation(s)
- Hao Ma
- Tulane university, metairie, LA
| | | | | | | | | | | | - Oscar Franco
- 3. Julius Cntr for Health Sciences and Primary Care, Univ Med Cntr Utrecht, Utrecht Univ, Utrecht, Netherlands Antilles
| | - Lu Qi
- TULANE UNIVERSITY, New Orleans, LA
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Espinosa O, Estrada K, Franco O, Cepeda M, Rodríguez P, Chicaiza L, Buitrago G, Alvis-Guzmán N, Rojas-Botero M, Maldonado N, Restrepo J, Fernández M, Vecino A, Mora L, Orozco-Africano J, Vargas JC, García M, Patiño P, Paternina Á, Anaya JM. El fortalecimiento de la Superintendencia Nacional de Salud (SUPERSALUD) es prioritario para garantizar el derecho fundamental a la salud. Medicina (B Aires) 2022. [DOI: 10.56050/01205498.2188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
El fortalecimiento técnico de la Superintendencia Nacional de Salud (SuperSalud), ente de inspección, vigilancia y control del Sistema General de Seguridad Social en Salud de Colombia, es necesario. Para tal fin, se propone el uso eficiente de los sistemas de información, que permita la toma de decisiones en política pública y que garantice el derecho fundamental de la salud.
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Zucatti KP, Teixeira PP, Wayerbacher LF, Piccoli GF, Correia PE, Fonseca NKO, Moresco KS, Guerra BA, Maduré MG, Farenzena LP, Frankenberg AD, Brietzke E, Halpern B, Franco O, Colpani V, Gerchman F. Long-term Effect of Lifestyle Interventions on the Cardiovascular and All-Cause Mortality of Subjects With Prediabetes and Type 2 Diabetes: A Systematic Review and Meta-analysis. Diabetes Care 2022; 45:2787-2795. [PMID: 36318674 DOI: 10.2337/dc22-0642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 08/16/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Lifestyle interventions improve the metabolic control of individuals with hyperglycemia. PURPOSE We aimed to determine the effect of lifestyle interventions on cardiovascular and all-cause mortality in this population. DATA SOURCES Searches were made through MEDLINE, Cochrane CENTRAL, Embase, and Web of Science (no date/language restriction, until 15 May 2022). STUDY SELECTION We included randomized clinical trials (RCTs) of subjects with prediabetes and type 2 diabetes, comparing intensive lifestyle interventions with usual care, with a minimum of 2 years of active intervention. DATA EXTRACTION Data from the 11 RCTs selected were extracted in duplicate. A frequentist and arm-based meta-analysis was performed with random-effects models to estimate relative risk (RR) for mortality, and heterogeneity was assessed through I2 metrics. A generalized linear mixed model (GLMM) was used to confirm the findings. DATA SYNTHESIS Lifestyle interventions were not superior to usual care in reducing cardiovascular (RR 0.99; 95% CI 0.79-1.23) or all-cause (RR 0.93; 95% CI 0.85-1.03) mortality. Subgroup, sensitivity, and meta-regression analyses showed no influence of type of intervention, mean follow-up, age, glycemic status, geographical location, risk of bias, or weight change. All of these results were confirmed with the GLMM. Most studies had a low risk of bias according to the RoB 2.0 tool and the certainty of evidence was moderate for both outcomes. LIMITATIONS Most studies had a low risk of bias according to the RoB 2.0 tool, and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach resulted in moderate certainty of evidence for both outcomes. Differences in lifestyle programs and in usual care between the studies should be considered in the interpretation of our results. CONCLUSIONS Intensive lifestyle interventions implemented so far did not show superiority to usual care in reducing cardiovascular or all-cause mortality for subjects with prediabetes and type 2 diabetes.
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Affiliation(s)
- Kelly P Zucatti
- Division of Endocrinology and Metabolism, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Department of Internal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Paula P Teixeira
- Division of Endocrinology and Metabolism, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Department of Internal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Laura F Wayerbacher
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Giovana F Piccoli
- Division of Endocrinology and Metabolism, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Department of Internal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Poliana E Correia
- Division of Endocrinology and Metabolism, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Department of Internal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Natasha K O Fonseca
- Postgraduate Program in Psychiatry and Behavioral Sciences, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Karla S Moresco
- Postgraduate Program in Medical Sciences: Endocrinology, Department of Internal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Bruno A Guerra
- Faculdade de Nutrição, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil
| | - Michelle G Maduré
- Faculdade de Nutrição, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Laura P Farenzena
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Anize D Frankenberg
- Postgraduate Program in Medical Sciences: Endocrinology, Department of Internal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Elisa Brietzke
- Department of Psychiatry, Queen's University School of Medicine, Kingston, Ontario, Canada
- Center of Neurosciences Studies (CND), Kingston, Ontario, Canada
| | - Bruno Halpern
- Obesity Group, Department of Endocrinology, Universidade de São Paulo, São Paulo, Brazil
- Weight Control Center, Hospital 9 de Julho, São Paulo, Brazil
| | - Oscar Franco
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
- Harvard T. H. Chan School of Public Health, Harvard University, Cambridge, MA
| | - Verônica Colpani
- Postgraduate Program in Medical Sciences: Endocrinology, Department of Internal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Fernando Gerchman
- Division of Endocrinology and Metabolism, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Department of Internal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
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Gonzalez N, Wilhelm M, Arango A, Gonzalez V, Mesa C, Minder B, Franco O, Bano A. Physical activity trajectories are associated with the risk of all-cause and cardiovascular disease mortality in patients with coronary heart disease. A systematic review and meta-analysis. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Current guidelines recommend that adults with chronic health conditions should engage in regular physical activity (PA), and avoid inactivity. Yet, the exact role of PA trajectories in the mortality risk of patients with coronary heart disease (CHD) remains unclear.
Purpose
We aimed to perform a systematic review and meta-analysis on the association of longitudinal trajectories of PA with all-cause and cardiovascular disease (CVD) mortality in patients with CHD.
Methods
We performed a systematic review and meta-analysis based on PRISMA statement. Six electronic databases were searched for cohort studies that analysed the association of PA trajectories (inactive over time, active over time, increased activity over time, and decreased activity over time) with the risk of all-cause and CVD mortality in patients with CHD. Study quality was evaluated by the Newcastle Ottawa scale. We used the inverse variance weighted method to combine summary measures using random-effects models to minimize the effect of between-study heterogeneity. The study is registered in PROSPERO.
Results
We meta-analyzed nine longitudinal cohorts involving 33,576 patients (25010 acute CHD, 8566 chronic CHD, mean age 62.5 years, 34% women, median follow-up duration 7.2 years), according to four PA trajectories. All studies assessed PA through validated questionnaires. The definitions of activity and inactivity at baseline and follow-ups were in agreement with current PA guidelines. Trajectories were calculated based on comparison of activity status at baseline and follow-up. All the studies defined increased activity over time as moving from the inactive to the active category, and decreased activity over time as moving from the active to the inactive category. Compared to patients remaining inactive over time, the lowest risk of all-cause and CVD mortality was observed in patients remaining active over time (HR [95% CI]: 0.50 [0.39–0.63] and 0.48 [0.35–0.68], respectively), followed by patients who increased their PA over time (HR [95% CI]:0.55 [0.44–0.7] and 0.63 [0.51–0.78], respectively), and patients who decreased activity over time (HR [95% CI]: 0.80 [0.64–0.99] and 0.91 [0.67–1.24], respectively). These results were consistent both in the acute and chronic CHD settings. The overall risk of bias was low, and no evidence of publication bias was observed. Multiple sensitivity analyses provided consistent results.
Conclusions
In patients with CHD, the risk of all-cause and CVD mortality is progressively reduced from being inactive over time, to decreased activity over time, to increased activity over time, to being active over time. These findings highlight the benefits of adopting a more physically active lifestyle in patients with chronic and acute CHD, independent of previous PA levels. Future studies should clarify the complex interactions between motivations and disease severity as potential drivers for PA trajectories
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): University of Bern
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Affiliation(s)
| | - M Wilhelm
- University Hospital, Department of Cardiology, Inselspital, Bern, Switzerland
| | - A Arango
- Universidad Pontificia Bolivariana, Internal Medicine, Medellin, Colombia
| | | | - C Mesa
- University of Bern, Bern, Switzerland
| | - B Minder
- University of Bern, Bern, Switzerland
| | - O Franco
- University of Bern, Bern, Switzerland
| | - A Bano
- University of Bern, Bern, Switzerland
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9
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Bano A, Rodondi N, Beer J, Moschovitis G, Kobza R, Aeschbacher S, Baretella O, Muka T, Stettler C, Franco O, Conte G, Sticherling C, Zuern C, Conen D, Reichlin T. Diabetes is associated with atrial fibrillation phenotype, cardiac and neurological comorbidities: insights from the Swiss-AF study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Diabetes mellitus is a major risk factor for atrial fibrillation (AF). However, it remains unclear whether individual AF phenotype and related comorbidities differ between AF patients with and without diabetes.
Purpose
To investigate the association of diabetes with AF phenotype, cardiac and neurological comorbidities in patients with documented AF.
Methods
Participants of the multicenter Swiss-AF study with available data on diabetes and AF phenotype were eligible. The primary outcomes were parameters of AF phenotype, including AF type (paroxysmal vs non-paroxysmal), AF symptoms (yes vs no), and quality of life (assessed by EQ-5D score). The secondary outcomes were cardiac (ie, history of hypertension, myocardial infarction, heart failure) and neurological comorbidities (ie, history of stroke, cognitive impairment). The cross-sectional association of diabetes with these outcomes was assessed using logistic and linear regression. Results were adjusted for age, sex, and cardiovascular risk factors.
Results
We included 2411 AF patients (27.4% women; median age, 73.6 years). Diabetes was not associated with non-paroxysmal AF (odds ratio [OR]=1.01; 95% confidence interval [CI]=0.81 to 1.27). Patients with diabetes less often perceived AF symptoms (OR=0.73; CI=0.59 to 0.91), but had worse quality of life (predicted mean difference in EQ-5D score: β=−4.54; CI=−6.40 to −2.68) than those without diabetes. Patients with diabetes were more likely to have cardiac comorbidities [history of hypertension (OR=3.04; CI=2.19 to 4.22), myocardial infarction (OR=1.55; CI=1.18 to 2.03), heart failure (OR=1.99; CI=1.57 to 2.51)] and neurological comorbidities [history of stroke (OR=1.39; CI=1.03 to 1.87), cognitive impairment (OR=1.75; CI=1.39 to 2.21)].
Conclusions
In the Swiss-AF cohort population, patients with diabetes less often perceived AF symptoms, but had worse quality of life, more cardiac and neurological comorbidities than those without diabetes. These findings have significant clinical implications. The reduced perception of AF symptoms in patients with diabetes might result in a delayed AF diagnosis and consequently more adverse events, especially cardioembolic stroke. This raises the question whether patients with diabetes should be systematically screened for silent AF. Moreover, patients with concomitant AF and diabetes have increased likelihood of comorbidities and therefore deserve more attentive care.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- A Bano
- Bern University Hospital, Inselspital, Bern, Switzerland
| | - N Rodondi
- Bern University Hospital, Inselspital, Bern, Switzerland
| | - J Beer
- University Hospital Zurich, Zurich, Switzerland
| | | | - R Kobza
- Luzerner Kantonsspital, Switzerland, Luzern, Switzerland
| | | | - O Baretella
- Bern University Hospital, Inselspital, Bern, Switzerland
| | - T Muka
- Institute of Social and Preventive Medicine. University of Bern, Bern, Switzerland
| | - C Stettler
- Bern University Hospital, Inselspital, Bern, Switzerland
| | - O Franco
- Institute of Social and Preventive Medicine. University of Bern, Bern, Switzerland
| | - G Conte
- Cardiocentro Ticino, Lugano, Switzerland
| | | | - C Zuern
- University Hospital Basel, Basel, Switzerland
| | - D Conen
- Mcmaster University, Ontario, Canada
| | - T Reichlin
- Bern University Hospital, Inselspital, Bern, Switzerland
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10
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Ferini-Strambi L, Auer R, Bjorvatn B, Castronovo V, Franco O, Gabutti L, Galbiati A, Hajak G, Khatami R, Kitajima T, McEvoy D, Nissen C, Perlis M, Pevernagie DA, Randerath W, Riemann D, Rizzo G, Van Someren E, Vgontzas A, Barazzoni F, Bassetti C. Insomnia disorder: clinical and research challenges for the 21st century. Eur J Neurol 2021; 28:2156-2167. [PMID: 33619858 DOI: 10.1111/ene.14784] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 02/17/2021] [Accepted: 02/18/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE Insomnia is a common and debilitating disorder that is frequently associated with important consequences for physical health and well-being. METHODS An international expert group considered the current state of knowledge based on the most relevant publications in the previous 5 years, discussed the current challenges in the field of insomnia and identified future priorities. RESULTS The association of trajectories of insomnia with subsequent quality of life, health and mortality should be investigated in large populations. Prospective health economics studies by separating the costs driven specifically by insomnia and costs attributable to its long-term effects are needed. Ignoring the heterogeneity of insomnia patients leads to inadequate diagnosis and inefficient treatment. Individualized interventions should be promoted. More data are needed on both the impact of sleep on overnight effects, such as emotion regulation, and the potential compensatory effort to counteract diurnal impairments. Another gap is the definition of neurocognitive deficits in insomnia patients compared to normal subjects after chronic sleep loss. There are also a number of key gaps related to insomnia treatment. Expert guidelines indicate cognitive-behavioural therapy for insomnia as first-line treatment. They neglect, however, the reality of major healthcare providers. The role of combined therapy, cognitive-behavioural therapy for insomnia plus pharmacological treatment, should be evaluated more extensively. CONCLUSION Whilst insomnia disorder might affect large proportions of the population, there are a number of significant gaps in the epidemiological/clinical/research studies carried out to date. In particular, the identification of different insomnia phenotypes could allow more cost-effective and efficient therapies.
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Affiliation(s)
- Luigi Ferini-Strambi
- "Vita-Salute" San Raffaele University, Milan, Italy.,Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Reto Auer
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Bjørn Bjorvatn
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway
| | - Vincenza Castronovo
- Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Luca Gabutti
- Institute of Biomedicine, University of Southern Switzerland, Lugano, Switzerland
| | - Andrea Galbiati
- "Vita-Salute" San Raffaele University, Milan, Italy.,Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Goeran Hajak
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Social Foundation Bamberg, Bamberg, Germany
| | - Ramin Khatami
- Center of Sleep Medicine, Sleep Research and Epilepsy, Klinik Barmelweid, Barmelweid Academy, Barmelweid, Switzerland
| | - Tsuyoshi Kitajima
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Doug McEvoy
- Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Michael Perlis
- Department of Psychiatry, Behavioral Sleep Medicine Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dirk A Pevernagie
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | | | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Centre-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Giovanni Rizzo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Eus Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.,Departments of Integrative Neurophysiology and Psychiatry, Center for Neurogenomics and Cognitive Research, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Alexandros Vgontzas
- Sleep Research and Treatment Center, Department of Psychiatry, Penn State Hershey Medical Center, College of Medicine, Pennsylvania State University, Hershey, PA, USA
| | | | - Claudio Bassetti
- Department of Neurology, Inselspital University Hospital, University of Bern, Bern, Switzerland.,Department of Neurology, Sechenov University, Moscow, Russia
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11
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Botero-Rodríguez F, Franco O, Carlos. Pandemic's glossary: The ABC of coronavirus concepts. Biomedica 2020; 40:16-26. [PMID: 33152184 PMCID: PMC7676831 DOI: 10.7705/biomedica.5605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 07/23/2020] [Indexed: 12/02/2022]
Abstract
Currently, the world is facing the pandemic generated by SARS-CoV-2. There are no no pharmacological measures for the prevention or treatment of this infection and, so far, it has caused more than 4´880.000 confirmed cases and 322.000 deaths. The different strategies for the control of the disease that have been proposed involve the participation of different actors. Such participation, guided by legal guidelines based on public health measures, include containment, mitigation, physical isolation, and quarantine. As this is a populationbased problem, information plays a primary role; however, the many new terms hat have arisen and their misuse confuse and, therefore, misinform thus limiting citizen participation. For this reason, we conducted a review of the terms used in epidemics and pandemics of infectious diseases, particularly COVID-19. We considered and differentiated the relevant terms to facilitate the understanding of pathogen’s behavior and epidemic and pandemic cycles, as well as the criteria for public health decision-making for the general public. This glossary should facilitate the use of the terms and standardize the information.
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Affiliation(s)
- Felipe Botero-Rodríguez
- Departamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, D.C., Colombia.
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
| | - Carlos
- Departamento de Epidemiología Clínica y Bioestadística, Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, D.C., Colombia; Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, D.C., Colombia.
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Schmidt AF, Holmes MV, Preiss D, Swerdlow DI, Denaxas S, Fatemifar G, Faraway R, Finan C, Valentine D, Fairhurst-Hunter Z, Hartwig FP, Horta BL, Hypponen E, Power C, Moldovan M, van Iperen E, Hovingh K, Demuth I, Norman K, Steinhagen-Thiessen E, Demuth J, Bertram L, Lill CM, Coassin S, Willeit J, Kiechl S, Willeit K, Mason D, Wright J, Morris R, Wanamethee G, Whincup P, Ben-Shlomo Y, McLachlan S, Price JF, Kivimaki M, Welch C, Sanchez-Galvez A, Marques-Vidal P, Nicolaides A, Panayiotou AG, Onland-Moret NC, van der Schouw YT, Matullo G, Fiorito G, Guarrera S, Sacerdote C, Wareham NJ, Langenberg C, Scott RA, Luan J, Bobak M, Malyutina S, Pająk A, Kubinova R, Tamosiunas A, Pikhart H, Grarup N, Pedersen O, Hansen T, Linneberg A, Jess T, Cooper J, Humphries SE, Brilliant M, Kitchner T, Hakonarson H, Carrell DS, McCarty CA, Lester KH, Larson EB, Crosslin DR, de Andrade M, Roden DM, Denny JC, Carty C, Hancock S, Attia J, Holliday E, Scott R, Schofield P, O'Donnell M, Yusuf S, Chong M, Pare G, van der Harst P, Said MA, Eppinga RN, Verweij N, Snieder H, Christen T, Mook-Kanamori DO, Gustafsson S, Lind L, Ingelsson E, Pazoki R, Franco O, Hofman A, Uitterlinden A, Dehghan A, Teumer A, Baumeister S, Dörr M, Lerch MM, Völker U, Völzke H, Ward J, Pell JP, Meade T, Christophersen IE, Maitland-van der Zee AH, Baranova EV, Young R, Ford I, Campbell A, Padmanabhan S, Bots ML, Grobbee DE, Froguel P, Thuillier D, Roussel R, Bonnefond A, Cariou B, Smart M, Bao Y, Kumari M, Mahajan A, Hopewell JC, Seshadri S, Dale C, Costa RPE, Ridker PM, Chasman DI, Reiner AP, Ritchie MD, Lange LA, Cornish AJ, Dobbins SE, Hemminki K, Kinnersley B, Sanson M, Labreche K, Simon M, Bondy M, Law P, Speedy H, Allan J, Li N, Went M, Weinhold N, Morgan G, Sonneveld P, Nilsson B, Goldschmidt H, Sud A, Engert A, Hansson M, Hemingway H, Asselbergs FW, Patel RS, Keating BJ, Sattar N, Houlston R, Casas JP, Hingorani AD. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9. BMC Cardiovasc Disord 2019; 19:240. [PMID: 31664920 PMCID: PMC6820948 DOI: 10.1186/s12872-019-1187-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 08/19/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. RESULTS The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer's disease - outcomes for which large-scale trial data were unavailable. CONCLUSIONS Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.
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Affiliation(s)
- Amand F Schmidt
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK.
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
- UCL's BHF Research Accelerator Centre, London, UK.
| | - Michael V Holmes
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - David Preiss
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Daniel I Swerdlow
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- Department of Medicine, Imperial College London, London, UK
| | - Spiros Denaxas
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
- The Alan Turing Institute, British Library, 96 Euston Rd, London, NW1 2DB, UK
| | - Ghazaleh Fatemifar
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Rupert Faraway
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Chris Finan
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
| | - Dennis Valentine
- UCL's BHF Research Accelerator Centre, London, UK
- University College London, Farr Institute of Health Informatics, London, UK
| | - Zammy Fairhurst-Hunter
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
| | | | - Bernardo Lessa Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Elina Hypponen
- Centre for Population Health Research, Sansom Institute for Health Research, University of South Australia, Adelaide, Australia
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Christine Power
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
| | - Max Moldovan
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Erik van Iperen
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, The Netherlands
- Department of Clinical Epidemiology, Biostatistics And Bioinformatics, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
| | - Kees Hovingh
- Department of vascular medicine, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Kristina Norman
- Institute of Nutritional Science, University of Potsdam, 14558, Nuthetal, Germany
- Geriatrics Research Group, Charité - Universitätsmedizin Berlin, 13347, Berlin, Germany
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558, Nuthetal, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | | | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, Germany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Dept. Psychology, University of Oslo, Oslo, Norway
| | - Christina M Lill
- Genetic and Molecular Epidemiology Group, Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, Germany
- Institute of Human Genetics, Lübeck, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College, London, UK
| | - Stefan Coassin
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020, Innsbruck, Austria
| | - Johann Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Karin Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
- Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - Richard Morris
- Department Primary Care & Population Health, University College London, London, UK
| | - Goya Wanamethee
- Department Primary Care & Population Health, University College London, London, UK
| | - Peter Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Stela McLachlan
- Centre for Population Health Sciences, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Jackie F Price
- Centre for Population Health Sciences, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Catherine Welch
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Adelaida Sanchez-Galvez
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Andrew Nicolaides
- Department of Vascular Surgery, Imperial College, London, United Kingdom
- Department of Surgery, Nicosia Medical School, University of Nicosia, Nicosia, Cyprus
| | - Andrie G Panayiotou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Giuseppe Matullo
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Giovanni Fiorito
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simonetta Guarrera
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Sofia Malyutina
- Novosibirsk State Medical University, Novosibirsk, Russian Federation
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russian Federation
| | - Andrzej Pająk
- Department of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Kraków, Poland
| | | | | | - Hynek Pikhart
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, The Capital Region of Denmark, Denmark
| | - Tine Jess
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, The Capital Region of Denmark, Denmark
| | - Jackie Cooper
- Centre for Cardiovascular Genetics, Department of Medicine, University College London, London, UK
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Department of Medicine, University College London, London, UK
| | - Murray Brilliant
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, USA
| | - Terrie Kitchner
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, USA
| | | | - David S Carrell
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | | | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - David R Crosslin
- Department of Biomedical Informatics and Medical Education University of Washington Seattle, Seattle, WA, USA
| | | | - Dan M Roden
- Department of Medicine, Department of Pharmacology, Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | | | | | - John Attia
- University of Newcastle, Newcastle, NSW, Australia
- Public Health Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Elizabeth Holliday
- University of Newcastle, Newcastle, NSW, Australia
- Public Health Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Rodney Scott
- University of Newcastle, Newcastle, NSW, Australia
| | - Peter Schofield
- Hunter New England Local Health District, Newcastle, NSW, Australia
| | | | - Salim Yusuf
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Michael Chong
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Guillaume Pare
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Pim van der Harst
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, The Netherlands
- Department of Clinical Epidemiology, Biostatistics And Bioinformatics, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - M Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ruben N Eppinga
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tim Christen
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Raha Pazoki
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Oscar Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Andre Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Sebastian Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, Scotland, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, Scotland, UK
| | - Tom Meade
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Ingrid E Christophersen
- The Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
| | - Anke H Maitland-van der Zee
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
- Department of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Robin Young
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Archie Campbell
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Michiel L Bots
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Diederick E Grobbee
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Philippe Froguel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
- Department of Genomics of Common Disease, Imperial College London, W12 0NN, London, United Kingdom
| | - Dorothée Thuillier
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
| | - Ronan Roussel
- INSERM, U-1138, Centre de Recherche des Cordeliers, Paris, France
- UFR de Médecine, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Départment de Diabétologie, Endocrinologie et Nutrition, Assistance Publique Hôpitaux de Paris, Hôpital Bicha, Paris, France
| | - Amélie Bonnefond
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
| | - Bertrand Cariou
- l'institut du Thorax, INSERM, CNRS, UNIV Nantes, CHU Nantes, Nantes, France
| | - Melissa Smart
- Institute for Social and Economic Research, University of Essex, Essex, UK
| | - Yanchun Bao
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, England
| | - Meena Kumari
- Boston University School of Medicine, Boston, MA, USA
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, England
| | - Jemma C Hopewell
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
| | | | - Caroline Dale
- University College London, Farr Institute of Health Informatics, London, UK
| | | | - Paul M Ridker
- Harvard Medical School Center for Cardiovascular Disease Prevention Brigham and Women's Hospital, Boston, USA
| | - Daniel I Chasman
- Harvard Medical School Center for Cardiovascular Disease Prevention Brigham and Women's Hospital, Boston, USA
| | | | | | | | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Sara E Dobbins
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Kari Hemminki
- Div. Molecular Genetic Epidemiology German Cancer Research Center, Im Neuenheimer Feld 580, 69120, Heidelberg, Germany
- Deutsches Krebsforschungszentrum, Heidelberg, Germany
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Marc Sanson
- The Institut du Cerveau et de la Moelle épinière - ICM, Paris, France
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, F-75013, Paris, France
| | - Karim Labreche
- The Institut du Cerveau et de la Moelle épinière - ICM, Paris, France
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, F-75013, Paris, France
| | - Matthias Simon
- Department of Neurosurgery, Bethel Clinic, Kantensiek 11, 33617, Bielefeld, Germany
| | - Melissa Bondy
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Philip Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Helen Speedy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - James Allan
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - Ni Li
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Gareth Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, the Netherlands
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84, Lund, Sweden
| | - Hartmut Goldschmidt
- University Clinic Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Andreas Engert
- Department of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Markus Hansson
- Hematology Clinic, Skåne University Hospital, Skåne, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Harry Hemingway
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
- The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Folkert W Asselbergs
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom
| | - Riyaz S Patel
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
- The Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | | | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Juan P Casas
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC) Veterans Affairs Boston Healthcare System, Boston, USA
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
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13
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Braun KVE, Satija A, Voortman T, Franco O, Sun Q, Hu F, Bhupathiraju S. Methyl Donor Nutrient Intake and Risk of Type 2 Diabetes: Results from 3 Large US Cohorts (OR15-02-19). Curr Dev Nutr 2019. [DOI: 10.1093/cdn/nzz044.or15-02-19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objectives
DNA methylation may play a role in the development of type 2 diabetes (T2D). DNA methylation can be influenced by methyl donor nutrients such as vitamins B2, B6, B12, folate, and methionine, which are all central to one carbon metabolism. Using 3 large cohorts of US health professionals, we examined whether intake of these nutrients from food or supplements is associated with T2D risk.
Methods
We included 69,949 women from the Nurses’ Health Study (1984–2012), 90,239 women from the Nurses’ Health Study II (1991–2011), and 40,539 men from the Health Professionals Follow-Up Study (1986–2010). Dietary data were collected every 2–4 years using a validated semi-quantitative FFQ, from which dietary intakes of vitamin B2, vitamin B6, vitamin B12, folate, and methionine were calculated. We used Cox proportional hazards model with time-varying covariates and adjusted for several sociodemographic and lifestyle variables. We also adjusted for cereal fiber, animal protein, polyunsaturated and saturated fatty acids ratio. Food sources of vitamins were additionally adjusted for multivitamin use while supplemental sources of vitamins were adjusted for a measure of overall diet quality.
Results
During 1763,428 years of follow-up, we documented 8141 T2D cases. In pooled multivariable-adjusted analyses, compared to those in the lowest quintile, those in the highest quintile of vitamins B2 and B6 had a 10% (95% CI 3%–16%) and 11% (95% CI 3%–16%) lower T2D risk, respectively. Total vitamin B12 intake was not associated with T2D. However, when analyses were stratified by source, vitamin B12 from food sources was associated with a higher T2D risk (HR [95% CI] = 1.11 [1.02–1.19]). On the other hand, supplemental vitamin B12 was associated with lower T2D risk (HR [95% CI] for Q5 vs Q1 = 0.92 [0.85–0.98]). We found no evidence for an association between intakes of folate and methionine and T2D risk.
Conclusions
Our study suggests that higher intakes of vitamin B2 and vitamin B6 are associated with a lower T2D risk. A higher vitamin B12 intake from food seems to be associated with a higher T2D risk, which may be due to consumption of animal products.
Funding Sources
The analysis was supported by grants from the National Institutes of Health.
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Affiliation(s)
| | | | | | | | - Qi Sun
- Harvard school of Public Health
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14
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Benz IE, Trajanoska K, Schoufour J, Lahousse L, De Roos E, Terzikhan N, Striker B, Franco O, Rivadeneira F, Brusselle G. Sarcopenia in elderly population with chronic respiratory diseases: A population-based study. Epidemiology 2018. [DOI: 10.1183/13993003.congress-2018.pa1174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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15
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Gil MCC, Franco O, Schoufour J. Seasonality of insulin resistance, glucose and insulin levels among middle-aged and elderly participants of the Rotterdam Study. Maturitas 2017. [DOI: 10.1016/j.maturitas.2017.06.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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16
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Terzikhan N, Lahousse L, Verhamme K, Franco O, Brusselle G, Stricker B. Increased risk of peripheral arterial disease in individuals with COPD. Epidemiology 2017. [DOI: 10.1183/1393003.congress-2017.pa1567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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17
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Lahousse L, Seys L, Joos G, Franco O, Stricker B, Brusselle G. Sex-differences in mortality within the COPD chronic bronchitis phenotype. Epidemiology 2017. [DOI: 10.1183/1393003.congress-2017.pa1564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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18
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Mujaj B, Bos D, Muka T, Van Der Lugt A, Ikram M, Vernooij M, Stricker B, Franco O. 5773Anticoagulant and antithrombotic therapy is associated with intraplaque hemorrhage in the carotid artery: the rotterdam study. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx493.5773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Mujaj B, Bos D, Selwaness M, Leening M, Kavousi M, Wentzel J, Van Der Lugt A, Hofman A, Stricker B, Vernooij M, Franco O. P1406Statin use is associated with carotid plaque composition: The Rotterdam Study. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx502.p1406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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20
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Daan N, Muka T, Koster M, van Lennep JR, Lambalk C, Laven J, Fauser C, Meun C, de Rijke Y, Boersma E, Franco O, Kavousi M, Fauser B. Cardiovascular risk in women with premature ovarian insufficiency compared to premenopausal women at middle age. Maturitas 2017. [DOI: 10.1016/j.maturitas.2017.03.058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Tromp I, Kiefte-de Jong J, Raat H, Jaddoe V, Franco O, Hofman A, de Jongste J, Moll H. Breastfeeding and the risk of respiratory tract infections after infancy: The Generation R Study. PLoS One 2017; 12:e0172763. [PMID: 28231310 PMCID: PMC5322970 DOI: 10.1371/journal.pone.0172763] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2016] [Accepted: 02/09/2017] [Indexed: 01/20/2023] Open
Abstract
Background The protection of breastfeeding against respiratory tract infections in the first year of life has often been suggested. Few studies examined the effect of breastfeeding on respiratory tract infections after infancy. Objective To examine the association between breastfeeding with lower respiratory tract infections (LRTI) and upper respiratory tract infections (URTI) after infancy up to 4 years of age (n = 5322). Methods This study was embedded in The Generation R study, a Dutch population-based prospective cohort study from fetal life until young adulthood. Information on breastfeeding duration (never; <3 months; 3–6 months; ≥6 months) and dose (never; partially until 4 months; predominantly until 4 months) were collected by questionnaire at 2, 6, and 12 months of age. Information on doctor attendance for LRTI and URTI were obtained by questionnaire at 2, 3, and 4 years of age. Results Breastfeeding for 6 months or longer was significantly associated with a reduced risk of LRTI up to 4 years of age (aOR: 0.71; 95% CI: 0.51–0.98). Similar ORs for LRTI were found with breastfeeding for less than 3 months and 3–6 months. Although in the same direction, weaker ORs were found for URTI and breastfeeding duration. The same trend was found for partial and predominant breastfeeding until 4 months and LRTI and URTI. Conclusion Breastfeeding duration for 6 months or longer is associated with a reduced risk of LRTI in pre-school children. These findings are compatible with the hypothesis that the protective effect of breastfeeding for respiratory tract infections persist after infancy therefore supporting current recommendations for breastfeeding for at least 6 months.
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Affiliation(s)
- Ilse Tromp
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- The Department of Pediatrics, Sophia Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Jessica Kiefte-de Jong
- The Department of Pediatrics, Sophia Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- The Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- The Department of Global Public Health, Leiden University College, The Hague, The Netherlands
- * E-mail:
| | - Hein Raat
- The Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Vincent Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- The Department of Pediatrics, Sophia Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- The Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Oscar Franco
- The Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- The Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Johan de Jongste
- The Department of Pediatrics, Sophia Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Henriëtte Moll
- The Department of Pediatrics, Sophia Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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22
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Schmidt AF, Swerdlow DI, Holmes MV, Patel RS, Fairhurst-Hunter Z, Lyall DM, Hartwig FP, Horta BL, Hyppönen E, Power C, Moldovan M, van Iperen E, Hovingh GK, Demuth I, Norman K, Steinhagen-Thiessen E, Demuth J, Bertram L, Liu T, Coassin S, Willeit J, Kiechl S, Willeit K, Mason D, Wright J, Morris R, Wanamethee G, Whincup P, Ben-Shlomo Y, McLachlan S, Price JF, Kivimaki M, Welch C, Sanchez-Galvez A, Marques-Vidal P, Nicolaides A, Panayiotou AG, Onland-Moret NC, van der Schouw YT, Matullo G, Fiorito G, Guarrera S, Sacerdote C, Wareham NJ, Langenberg C, Scott R, Luan J, Bobak M, Malyutina S, Pająk A, Kubinova R, Tamosiunas A, Pikhart H, Husemoen LLN, Grarup N, Pedersen O, Hansen T, Linneberg A, Simonsen KS, Cooper J, Humphries SE, Brilliant M, Kitchner T, Hakonarson H, Carrell DS, McCarty CA, Kirchner HL, Larson EB, Crosslin DR, de Andrade M, Roden DM, Denny JC, Carty C, Hancock S, Attia J, Holliday E, O'Donnell M, Yusuf S, Chong M, Pare G, van der Harst P, Said MA, Eppinga RN, Verweij N, Snieder H, Christen T, Mook-Kanamori DO, Gustafsson S, Lind L, Ingelsson E, Pazoki R, Franco O, Hofman A, Uitterlinden A, Dehghan A, Teumer A, Baumeister S, Dörr M, Lerch MM, Völker U, Völzke H, Ward J, Pell JP, Smith DJ, Meade T, Maitland-van der Zee AH, Baranova EV, Young R, Ford I, Campbell A, Padmanabhan S, Bots ML, Grobbee DE, Froguel P, Thuillier D, Balkau B, Bonnefond A, Cariou B, Smart M, Bao Y, Kumari M, Mahajan A, Ridker PM, Chasman DI, Reiner AP, Lange LA, Ritchie MD, Asselbergs FW, Casas JP, Keating BJ, Preiss D, Hingorani AD, Sattar N. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study. Lancet Diabetes Endocrinol 2017; 5:97-105. [PMID: 27908689 PMCID: PMC5266795 DOI: 10.1016/s2213-8587(16)30396-5] [Citation(s) in RCA: 263] [Impact Index Per Article: 37.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 11/17/2016] [Accepted: 11/17/2016] [Indexed: 12/30/2022]
Abstract
BACKGROUND Statin treatment and variants in the gene encoding HMG-CoA reductase are associated with reductions in both the concentration of LDL cholesterol and the risk of coronary heart disease, but also with modest hyperglycaemia, increased bodyweight, and modestly increased risk of type 2 diabetes, which in no way offsets their substantial benefits. We sought to investigate the associations of LDL cholesterol-lowering PCSK9 variants with type 2 diabetes and related biomarkers to gauge the likely effects of PCSK9 inhibitors on diabetes risk. METHODS In this mendelian randomisation study, we used data from cohort studies, randomised controlled trials, case control studies, and genetic consortia to estimate associations of PCSK9 genetic variants with LDL cholesterol, fasting blood glucose, HbA1c, fasting insulin, bodyweight, waist-to-hip ratio, BMI, and risk of type 2 diabetes, using a standardised analysis plan, meta-analyses, and weighted gene-centric scores. FINDINGS Data were available for more than 550 000 individuals and 51 623 cases of type 2 diabetes. Combined analyses of four independent PCSK9 variants (rs11583680, rs11591147, rs2479409, and rs11206510) scaled to 1 mmol/L lower LDL cholesterol showed associations with increased fasting glucose (0·09 mmol/L, 95% CI 0·02 to 0·15), bodyweight (1·03 kg, 0·24 to 1·82), waist-to-hip ratio (0·006, 0·003 to 0·010), and an odds ratio for type diabetes of 1·29 (1·11 to 1·50). Based on the collected data, we did not identify associations with HbA1c (0·03%, -0·01 to 0·08), fasting insulin (0·00%, -0·06 to 0·07), and BMI (0·11 kg/m2, -0·09 to 0·30). INTERPRETATION PCSK9 variants associated with lower LDL cholesterol were also associated with circulating higher fasting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diabetes. In trials of PCSK9 inhibitor drugs, investigators should carefully assess these safety outcomes and quantify the risks and benefits of PCSK9 inhibitor treatment, as was previously done for statins. FUNDING British Heart Foundation, and University College London Hospitals NHS Foundation Trust (UCLH) National Institute for Health Research (NIHR) Biomedical Research Centre.
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Affiliation(s)
- Amand F Schmidt
- Institute of Cardiovascular Science, University College London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK.
| | - Daniel I Swerdlow
- Institute of Cardiovascular Science, University College London, UK; Department of Medicine, Imperial College London, London, UK
| | - Michael V Holmes
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit at the University of Oxford, University of Oxford, Oxford, UK
| | - Riyaz S Patel
- Institute of Cardiovascular Science, University College London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK; The Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | | | - Donald M Lyall
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | | | - Bernardo Lessa Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Elina Hyppönen
- Centre for Population Health Research, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia; Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK; South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Christine Power
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Max Moldovan
- School of Health Sciences, University of South Australia, Adelaide, SA, Australia; South Australian Health and Medical Research Institute-EMBL Australia, Adelaide, SA, Australia
| | - Erik van Iperen
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, Netherlands; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center Amsterdam, Netherlands
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center Amsterdam, Netherlands
| | - Ilja Demuth
- Charité Research Group on Geriatrics, Charité-Universitätsmedizin Berlin, Berlin, Germany; Institute of Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Kristina Norman
- Charité Research Group on Geriatrics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | | | - Lars Bertram
- Neuroepidemiology and Ageing Research Unit, Imperial College London, London, UK; Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany
| | - Tian Liu
- Max Planck Institute for Human Development, Berlin, Germany; Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Stefan Coassin
- Division of Genetic Epidemiology Innsbruck, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Johann Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Karin Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - Richard Morris
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Goya Wanamethee
- Department of Primary Care & Population Health, University College London, UK
| | - Peter Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Stela McLachlan
- Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jackie F Price
- Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | - Catherine Welch
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | - Adelaida Sanchez-Galvez
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | - Pedro Marques-Vidal
- Internal Medicine Unit, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Andrew Nicolaides
- Department of Vascular Surgery, Imperial College London, London, UK; Department of Surgery, Nicosia Medical School, University of Nicosia, Nicosia, Cyprus
| | - Andrie G Panayiotou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Giuseppe Matullo
- Human Genetics Foundation, HuGeF, Turin, Italy; Department of Medical Sciences, University of Turin, Turin, Italy
| | - Giovanni Fiorito
- Human Genetics Foundation, HuGeF, Turin, Italy; Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simonetta Guarrera
- Human Genetics Foundation, HuGeF, Turin, Italy; Department of Medical Sciences, University of Turin, Turin, Italy
| | - Carlotta Sacerdote
- Cancer Epidemiology Unit, San Giovanni Battista Hospital, Turin, Italy; Centre for Oncology Prevention, CPO Piemonte, Turin, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Robert Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | - Sofia Malyutina
- Novosibirsk State Medical University, Novosibirsk, Russia; Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Andrzej Pająk
- Jagiellonian University Collegium Medicum, Krakow, Poland
| | | | | | - Hynek Pikhart
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK
| | | | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Allan Linneberg
- Research Centre for Prevention and Health, Capital Region of Denmark, Denmark; Department of Clinical Experimental Research, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Jackie Cooper
- Centre for Cardiovascular Genetics, University College London, UK
| | | | - Murray Brilliant
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI, USA
| | - Terrie Kitchner
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI, USA
| | | | | | | | | | | | | | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Dan M Roden
- Departments of Medicine and Pharmacology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Cara Carty
- George Washington University, Washington, DC, USA
| | | | - John Attia
- University of Newcastle, Newcastle, NSW, Australia
| | | | | | - Salim Yusuf
- Population Health Research Institute, Hamilton, ON, Canada
| | - Michael Chong
- Population Health Research Institute, Hamilton, ON, Canada
| | - Guillaume Pare
- Population Health Research Institute, Hamilton, ON, Canada
| | - Pim van der Harst
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, Netherlands; Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - M Abdullah Said
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Ruben N Eppinga
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Tim Christen
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Stefan Gustafsson
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Erik Ingelsson
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Raha Pazoki
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Oscar Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Andre Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Abbas Dehghan
- Faculty of Medicine, and Department of Biostatistics and Epidemiology, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Sebastian Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Markus M Lerch
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Joey Ward
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Jill P Pell
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel J Smith
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Tom Meade
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Anke H Maitland-van der Zee
- Department of Respiratory Medicine, Academic Medical Center Amsterdam, Netherlands; Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Ekaterina V Baranova
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Robin Young
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Archie Campbell
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Diederick E Grobbee
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Philippe Froguel
- Department of Genomics of Common Disease, Imperial College London, London, UK; CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
| | - Dorothée Thuillier
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
| | - Beverley Balkau
- Renal and Cardiovascular Epidemiology, Centre de Recherche en Epidémiologie et Santé des Populations (CESP), INSERM U1018, Villejuif, France
| | - Amélie Bonnefond
- Department of Genomics of Common Disease, Imperial College London, London, UK; CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France
| | - Bertrand Cariou
- I'institut du Thorax, INSERM, CNRS, University of Nantes, CHU de Nantes, Nantes, France
| | - Melissa Smart
- Institute for Social and Economic Research, University of Essex, Colchester, Essex, UK
| | - Yanchun Bao
- Institute for Social and Economic Research, University of Essex, Colchester, Essex, UK
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, Colchester, Essex, UK
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Paul M Ridker
- Harvard Medical School Center for Cardiovascular Disease Prevention, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel I Chasman
- Harvard Medical School Center for Cardiovascular Disease Prevention, Brigham and Women's Hospital, Boston, MA, USA
| | - Alex P Reiner
- Department of Epidemiology, Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - Leslie A Lange
- Anschutz Medical Campus, University of Colorado Denver, Denver, CO, USA
| | - Marylyn D Ritchie
- Biomedical and Translational Informatics, Geisinger Health System, Danville, PA, USA; Department of Biochemistry and Molecular Biology, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Folkert W Asselbergs
- Institute of Cardiovascular Science, University College London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK; Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands; Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
| | - Juan-Pablo Casas
- Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK
| | - Brendan J Keating
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | - David Preiss
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit at the University of Oxford, University of Oxford, Oxford, UK
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, UK; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
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Tiller D, Ittermann T, Greiser KH, Meisinger C, Agger C, Hofman A, Thuesen B, Linneberg A, Peeters R, Franco O, Heier M, Kluttig A, Werdan K, Stricker B, Schipf S, Markus M, Dörr M, Völzke H, Haerting J. Association of Serum Thyrotropin with Anthropometric Markers of Obesity in the General Population. Thyroid 2016; 26:1205-14. [PMID: 27393002 DOI: 10.1089/thy.2015.0410] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Except from associations study with body weight, there are few longitudinal data regarding the association between thyroid function and anthropometric measurements such as waist circumference, waist-to-hip ratio, or waist-to height ratio. OBJECTIVE This study aimed to investigate the association of thyrotropin (TSH) at baseline with changes in different anthropometric markers between baseline and follow-up in the general population. METHOD Data were used from four population-based longitudinal cohort studies and one population-based cross-sectional study. A total of 16,902 (8204 males) subjects aged 20-95 years from the general population were studied. Body mass index, waist circumference, waist-to-hip ratio, and waist-to-height ratio were measured. Multivariable median regression models were calculated adjusting for the following covariates: age, sex, baseline value of the respective anthropometric marker, smoking status, follow-up-time period, and study site. RESULTS In cross-sectional analyses, serum TSH within the reference range was positively associated with waist circumference (β = 0.94 cm [confidence interval (CI) 0.56-1.32]) and waist-to-height-ratio (β = 0.029 [CI 0.017-0.042]). These associations were also present for the full range of TSH. In the longitudinal analyses, serum TSH at baseline was inversely associated with a five-year change of all considered anthropometric measures within the prior defined study-specific reference range, as well as in the full range of serum TSH. CONCLUSION High TSH serum levels were positively associated with current anthropometric markers, even in the study-specific reference ranges. In contrast, high TSH serum levels were associated with decreased anthropometric markers over a time span of approximately five years. Further research is needed to determine possible clinical implications as well as public health consequences of these findings.
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Affiliation(s)
- Daniel Tiller
- 1 Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg , Halle (Saale), Germany
| | - Till Ittermann
- 2 Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
| | - Karin H Greiser
- 1 Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg , Halle (Saale), Germany
- 3 German Cancer Research Centre , Division of Cancer Epidemiology, Heidelberg, Germany
| | - Christa Meisinger
- 4 Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health , München, Germany
| | - Carsten Agger
- 5 Research Centre for Prevention and Health , the Capital Region, Denmark
| | - Albert Hofman
- 6 Department of Epidemiology, Department of Internal Medicine; Erasmus Medical Center , Rotterdam, The Netherlands
| | - Betina Thuesen
- 5 Research Centre for Prevention and Health , the Capital Region, Denmark
| | - Allan Linneberg
- 5 Research Centre for Prevention and Health , the Capital Region, Denmark
- 7 Department of Clinical Experimental Research, Rigshospitalet , Glostrup, Denmark
- 8 Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen , Copenhagen, Denmark
| | - Robin Peeters
- 5 Research Centre for Prevention and Health , the Capital Region, Denmark
- 9 Rotterdam Thyroid Center, Department of Internal Medicine; Erasmus Medical Center , Rotterdam, The Netherlands
| | - Oscar Franco
- 6 Department of Epidemiology, Department of Internal Medicine; Erasmus Medical Center , Rotterdam, The Netherlands
| | - Margit Heier
- 4 Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health , München, Germany
| | - Alexander Kluttig
- 1 Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg , Halle (Saale), Germany
| | - Karl Werdan
- 10 Department of Medicine III, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Bruno Stricker
- 6 Department of Epidemiology, Department of Internal Medicine; Erasmus Medical Center , Rotterdam, The Netherlands
| | - Sabine Schipf
- 2 Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
| | - Marcello Markus
- 2 Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
- 11 Department of Internal Medicine B, University Medicine Greifswald , Greifswald, Germany
- 12 DZHK (German Centre for Cardiovascular Research) , partner site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- 11 Department of Internal Medicine B, University Medicine Greifswald , Greifswald, Germany
- 12 DZHK (German Centre for Cardiovascular Research) , partner site Greifswald, Greifswald, Germany
| | - Henry Völzke
- 2 Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald , Greifswald, Germany
- 12 DZHK (German Centre for Cardiovascular Research) , partner site Greifswald, Greifswald, Germany
| | - Johannes Haerting
- 1 Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg , Halle (Saale), Germany
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Global BMI Mortality Collaboration, Di Angelantonio E, Bhupathiraju S, Wormser D, Gao P, Kaptoge S, Berrington de Gonzalez A, Cairns B, Huxley R, Jackson C, Joshy G, Lewington S, Manson J, Murphy N, Patel A, Samet J, Woodward M, Zheng W, Zhou M, Bansal N, Barricarte A, Carter B, Cerhan J, Smith G, Fang X, Franco O, Green J, Halsey J, Hildebrand J, Jung K, Korda R, McLerran D, Moore S, O'Keeffe L, Paige E, Ramond A, Reeves G, Rolland B, Sacerdote C, Sattar N, Sofianopoulou E, Stevens J, Thun M, Ueshima H, Yang L, Yun Y, Willeit P, Banks E, Beral V, Chen Z, Gapstur S, Gunter M, Hartge P, Jee S, Lam TH, Peto R, Potter J, Willett W, Thompson S, Danesh J, Hu F. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet 2016; 388:776-86. [PMID: 27423262 PMCID: PMC4995441 DOI: 10.1016/s0140-6736(16)30175-1] [Citation(s) in RCA: 1467] [Impact Index Per Article: 183.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Overweight and obesity are increasing worldwide. To help assess their relevance to mortality in different populations we conducted individual-participant data meta-analyses of prospective studies of body-mass index (BMI), limiting confounding and reverse causality by restricting analyses to never-smokers and excluding pre-existing disease and the first 5 years of follow-up. METHODS Of 10 625 411 participants in Asia, Australia and New Zealand, Europe, and North America from 239 prospective studies (median follow-up 13·7 years, IQR 11·4-14·7), 3 951 455 people in 189 studies were never-smokers without chronic diseases at recruitment who survived 5 years, of whom 385 879 died. The primary analyses are of these deaths, and study, age, and sex adjusted hazard ratios (HRs), relative to BMI 22·5-<25·0 kg/m(2). FINDINGS All-cause mortality was minimal at 20·0-25·0 kg/m(2) (HR 1·00, 95% CI 0·98-1·02 for BMI 20·0-<22·5 kg/m(2); 1·00, 0·99-1·01 for BMI 22·5-<25·0 kg/m(2)), and increased significantly both just below this range (1·13, 1·09-1·17 for BMI 18·5-<20·0 kg/m(2); 1·51, 1·43-1·59 for BMI 15·0-<18·5) and throughout the overweight range (1·07, 1·07-1·08 for BMI 25·0-<27·5 kg/m(2); 1·20, 1·18-1·22 for BMI 27·5-<30·0 kg/m(2)). The HR for obesity grade 1 (BMI 30·0-<35·0 kg/m(2)) was 1·45, 95% CI 1·41-1·48; the HR for obesity grade 2 (35·0-<40·0 kg/m(2)) was 1·94, 1·87-2·01; and the HR for obesity grade 3 (40·0-<60·0 kg/m(2)) was 2·76, 2·60-2·92. For BMI over 25·0 kg/m(2), mortality increased approximately log-linearly with BMI; the HR per 5 kg/m(2) units higher BMI was 1·39 (1·34-1·43) in Europe, 1·29 (1·26-1·32) in North America, 1·39 (1·34-1·44) in east Asia, and 1·31 (1·27-1·35) in Australia and New Zealand. This HR per 5 kg/m(2) units higher BMI (for BMI over 25 kg/m(2)) was greater in younger than older people (1·52, 95% CI 1·47-1·56, for BMI measured at 35-49 years vs 1·21, 1·17-1·25, for BMI measured at 70-89 years; pheterogeneity<0·0001), greater in men than women (1·51, 1·46-1·56, vs 1·30, 1·26-1·33; pheterogeneity<0·0001), but similar in studies with self-reported and measured BMI. INTERPRETATION The associations of both overweight and obesity with higher all-cause mortality were broadly consistent in four continents. This finding supports strategies to combat the entire spectrum of excess adiposity in many populations. FUNDING UK Medical Research Council, British Heart Foundation, National Institute for Health Research, US National Institutes of Health.
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Yano Y, Ning H, O’Donnell C, Kuller L, Franco O, Erbel R, D’Agostino R, Nasir K, Newman A, Blankstein R, Kavousi M, Möhlenkamp S, Lehmann N, Mahabadi AA, Hoffmann U, Massaro J, Lima J, Liu K, Lloyd-Jones D, Greenland P. CORONARY CALCIUM SCORE VERSUS CHRONOLOGICAL AGE FOR CARDIOVASCULAR RISK PREDICTION IN THE ELDERLY: THE FRAMINGHAM OFFSPRING STUDY, THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS, AND THE CARDIOVASCULAR HEALTH STUDY. J Am Coll Cardiol 2016. [DOI: 10.1016/s0735-1097(16)31916-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Mirza SS, Bruijn R, Tiemeier H, Koudstaal P, Meiracker A, Franco O, Hofman A, Ikram MA. O4‐10‐04: AMINO TERMINAL PRO B‐TYPE NATRIURETIC PEPTIDE IN RELATION TO COGNITIVE DECLINE AND RISK OF DEMENTIA: THE ROTTERDAM STUDY. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.04.442] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
| | - Renee Bruijn
- Erasmus University Medical CenterRotterdamNetherlands
| | | | | | | | - Oscar Franco
- Erasmus University Medical CenterRotterdamNetherlands
| | - Albert Hofman
- Erasmus University Medical CenterRotterdamNetherlands
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Kraja B, Muka T, Ruiter R, Hofman A, Stricker B, Franco O, Kiefte-de Jong J. Dietary Fatty Acids Intake and Colorectal Cancer Risk: The Rotterdam Study. Ann Oncol 2014. [DOI: 10.1093/annonc/mdu193.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Ariza F, Montilla-Coral D, Franco O, González LF, Lozano LC, Torres AM, Jordán J, Blanco LF, Suárez L, Cruz G, Cepeda M. Adverse events related to gastrointestinal endoscopic procedures in pediatric patients under anesthesia care and a predictive risk model (AEGEP Study). ACTA ACUST UNITED AC 2014; 61:362-8. [PMID: 24661725 DOI: 10.1016/j.redar.2014.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2013] [Revised: 12/20/2013] [Accepted: 01/20/2014] [Indexed: 11/30/2022]
Abstract
BACKGROUND Multiple studies have analyzed perioperative factors related to adverse events (AEs) in children who require gastrointestinal endoscopic procedures (GEP) in settings where deep sedation is the preferred anesthetic technique over general anesthesia (GA) but not for the opposite case. METHODS We reviewed our anesthesia institutional database, seeking children less than 12 years who underwent GEP over a 5-year period. A logistic regression was used to determine significant associations between preoperative conditions, characteristics of the procedure, airway management, anesthetic approaches and the presence of serious and non-serious AEs. RESULTS GA was preferred over deep sedation [77.8% vs. 22.2% in 2178 GEP under anesthesia care (n=1742)]. We found 96 AEs reported in 77 patients, including hypoxemia (1.82%), bronchospasm (1.14%) and laryngospasm (0.91%) as the most frequent. There were 2 cases of severe bradycardia related to laryngospasm/hypoxemia and a case of aspiration resulting in unplanned hospitalization, but there were no cases of intra- or postoperative deaths. Final predictive model for perioperative AEs included age <1 year, upper respiratory tract infections (URTI) <1 week prior to the procedure and low weight for the age (LWA) as independent risk factors and ventilation by facial mask as a protector against these events (p<0.05). CONCLUSIONS AEs are infrequent and severe ones are remote in a setting where AG is preferred over deep sedation. Ventilatory AEs are the most frequent and depend on biometrical and comorbid conditions more than anesthetic drugs chosen. Age <1 year, history of URTI in the week prior to the procedure and LWA work as independent risk factors for AEs in these patients.
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Affiliation(s)
- F Ariza
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia.
| | - D Montilla-Coral
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia
| | - O Franco
- Department of Pediatric Surgery, Fundación Valle del Lili, Cali, Colombia
| | - L F González
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia
| | - L C Lozano
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia
| | - A M Torres
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia
| | - J Jordán
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia
| | - L F Blanco
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia
| | - L Suárez
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia
| | - G Cruz
- Department of Anesthesia and Perioperative Medicine, Fundación Valle del Lili, Cali, Colombia
| | - M Cepeda
- Clinical Research Unit, Fundación Valle del Lili, Cali, Colombia
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Kavousi M, Leening M, Ikram A, Heeringa J, Koudstaal P, Hofman A, Steyerberg E, Franco O, Witteman J. Cardiovascular risk assessment in women: prediction of short-term and long-term risk; the Rotterdam study. Eur Heart J 2013. [DOI: 10.1093/eurheartj/eht308.p1548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Bruijn R, Schrijvers E, Groot K, Witteman J, Franco O, Hofman A, Koudstaal P, Ikram M. O1‐08‐04: Physical activity is associated with dementia risk during short‐term, but not long‐term follow‐uP. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Hoeven TA, Kavousi M, Clockaerts S, Kerkhof HJM, van Meurs JB, Franco O, Hofman A, Bindels P, Witteman J, Bierma-Zeinstra S. Association of atherosclerosis with presence and progression of osteoarthritis: the Rotterdam Study. Ann Rheum Dis 2012; 72:646-51. [DOI: 10.1136/annrheumdis-2011-201178] [Citation(s) in RCA: 88] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Chowdhury R, Di Angelantonio E, Franco O, Danesh J. 38 VITAMIN D AND CARDIOVASCULAR DISEASE. Maturitas 2012. [DOI: 10.1016/s0378-5122(12)70042-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Putz R, Clarke A, Hamborg T, Franco O. What factors are associated with a validated measure of mental wellbeing in the general population in Coventry? A stratified random cross sectional survey. J Epidemiol Community Health 2011. [DOI: 10.1136/jech.2011.143586.31] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Neyt M, De Laet C, Van Brabandt H, Franco O, Ramaekers D. Cost-effectiveness of statins in the primary prevention of cardiovascular disease: a systematic review and economic analysis for Belgium. Acta Cardiol 2009; 64:1-10. [PMID: 19317290 DOI: 10.2143/ac.64.1.2034354] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVES 8% of total drug spending by the Belgian government goes to statins. The aim of this study is to determine the cost-effectiveness of statins for the primary prevention of cardiovascular disease (CVD) in middle-aged Belgian populations. METHODS AND RESULTS Economic evaluations were identified in a systematic literature search and were critically appraised. Furthermore, because prices decreased drastically, a previously published model was adapted applying recent cost data from the Belgian national health insurance. Eleven full economic evaluations were identified. Nine studies compared statins with no treatment and presented heterogeneous results. If alternative interventions, such as smoking cessation or low-dose aspirin treatment were included in the analysis, statin therapy became less cost-effective. Prescribing the cheapest statin on the Belgian market (< Euro 90 medication cost per year) resulted in an incremental cost of Euro 29,173 per life-year gained (LYG) in a male high-risk group aged 60 compared to low-dose aspirin. The incremental cost in a male moderate-risk group aged 50 was Euro 87,022/LYG. Low-dose aspirin was more cost-effective ranging from Euro 3,854/LYG to Euro 29,509/LYG compared to smoking cessation therapy. Smoking cessation therapy was the most cost-effective intervention, providing savings compared to no treatment. CONCLUSIONS In Belgium, the cost-effectiveness of statins for the primary prevention of CVD is rather elevated in comparison with low-dose aspirin, even if the cheapest statin is prescribed. From an economic point of view, prevention with low-dose aspirin is more cost-effective and may present a first choice in primary prevention. Smoking cessation, which is a dominant strategy, should be encouraged at all times.
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Affiliation(s)
- Mattias Neyt
- Belgian Health Care Knowledge Centre (KCE), Brussels, Belgium.
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Franco O. [Reinfestation of Para by Aedes aegypti]. Rev Bras Malariol Doencas Trop 1969; 21:729-31. [PMID: 5397213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Franco O. [Yellow fever in Brazil]. Rev Bras Malariol Doencas Trop 1967; 19:219-25. [PMID: 5613532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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38
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Franco O. [Anti-yellow fever vaccination]. Rev Bras Malariol Doencas Trop 1965; 17:75-81. [PMID: 5860036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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