Literature DB >> 27875724

The LifeLines Cohort Study: Prevalence and treatment of cardiovascular disease and risk factors.

M Yldau van der Ende1, Minke H T Hartman1, Yanick Hagemeijer1, Laura M G Meems1, Hendrik Sierd de Vries2, Ronald P Stolk2, Rudolf A de Boer1, Anna Sijtsma2, Peter van der Meer1, Michiel Rienstra1, Pim van der Harst3.   

Abstract

BACKGROUND: The LifeLines Cohort Study is a large three-generation prospective study and Biobank. Recruitment and data collection started in 2006 and follow-up is planned for 30years. The central aim of LifeLines is to understand healthy ageing in the 21st century. Here, the study design, methods, baseline and major cardiovascular phenotypes of the LifeLines Cohort Study are presented. METHODS AND
RESULTS: Baseline cardiovascular phenotypes were defined in 9700 juvenile (8-18years) and 152,180 adult (≥18years) participants. Cardiovascular disease (CVD) was defined using ICD-10 criteria. At least one cardiovascular risk factor was present in 73% of the adult participants. The prevalence, adjusted for the Dutch population, was determined for risk factors (hypertension (33%), hypercholesterolemia (19%), diabetes (4%), overweight (56%), and current smoking (19%)) and CVD (myocardial infarction (1.8%), heart failure (1.0%), and atrial fibrillation (1.3%)). Overall CVD prevalence increased with age from 9% in participants<65years to 28% in participants≥65years. Of the participants with hypertension, hypercholesterolemia and diabetes, respectively 75%, 96% and 41% did not receive preventive pharmacotherapy.
CONCLUSIONS: The contemporary LifeLines Cohort Study provides researchers with unique and novel opportunities to study environmental, phenotypic, and genetic risk factors for CVD and is expected to improve our knowledge on healthy ageing. In this contemporary Western cohort we identified a remarkable high percentage of untreated CVD risk factors suggesting that not all opportunities to reduce the CVD burden are utilised.
Copyright © 2016 Swiss Tropical and Public Health Institute. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease; Epidemiology; LifeLines; Prospective study; Risk factors

Mesh:

Year:  2016        PMID: 27875724     DOI: 10.1016/j.ijcard.2016.11.061

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  16 in total

1.  Population-based values and abnormalities of the electrocardiogram in the general Dutch population: The LifeLines Cohort Study.

Authors:  M Yldau van der Ende; Joylene E Siland; Harold Snieder; Pim van der Harst; Michiel Rienstra
Journal:  Clin Cardiol       Date:  2017-06-12       Impact factor: 2.882

Review 2.  Ras signaling in aging and metabolic regulation.

Authors:  Cathy Slack
Journal:  Nutr Healthy Aging       Date:  2017-12-07

3.  SNP in human ARHGEF3 promoter is associated with DNase hypersensitivity, transcript level and platelet function, and Arhgef3 KO mice have increased mean platelet volume.

Authors:  Siying Zou; Alexandra M Teixeira; Myrto Kostadima; William J Astle; Aparna Radhakrishnan; Lukas Mikolaj Simon; Lucy Truman; Jennifer S Fang; John Hwa; Ping-Xia Zhang; Pim van der Harst; Paul F Bray; Willem H Ouwehand; Mattia Frontini; Diane S Krause
Journal:  PLoS One       Date:  2017-05-23       Impact factor: 3.240

Review 4.  Common risk factors for heart failure and cancer.

Authors:  Wouter C Meijers; Rudolf A de Boer
Journal:  Cardiovasc Res       Date:  2019-04-15       Impact factor: 10.787

5.  Sex-Based Differences in Unrecognized Myocardial Infarction.

Authors:  M Yldau van der Ende; Luis Eduardo Juarez-Orozco; Ingmar Waardenburg; Erik Lipsic; Remco A J Schurer; Hindrik W van der Werf; Emelia J Benjamin; Dirk Jan van Veldhuisen; Harold Snieder; Pim van der Harst
Journal:  J Am Heart Assoc       Date:  2020-06-23       Impact factor: 5.501

Review 6.  Triglyceride-Rich Lipoproteins and Their Remnants as Silent Promoters of Atherosclerotic Cardiovascular Disease and Other Metabolic Disorders: A Review.

Authors:  Radu Sascău; Alexandra Clement; Rodica Radu; Cristina Prisacariu; Cristian Stătescu
Journal:  Nutrients       Date:  2021-05-22       Impact factor: 5.717

7.  Deferoxamine Treatment Combined With Sevoflurane Postconditioning Attenuates Myocardial Ischemia-Reperfusion Injury by Restoring HIF-1/BNIP3-Mediated Mitochondrial Autophagy in GK Rats.

Authors:  Long Yang; Peng Xie; Jianjiang Wu; Jin Yu; Xin Li; Haiping Ma; Tian Yu; Haiying Wang; Jianrong Ye; Jiang Wang; Hong Zheng
Journal:  Front Pharmacol       Date:  2020-02-19       Impact factor: 5.810

8.  Genetic variance and plasma concentration of CD93 is associated with cardiovascular mortality: Results from a 6.7‑year follow‑up of a healthy community‑living elderly population.

Authors:  Urban Alehagen; Levar Shamoun; Dick Wågsäter
Journal:  Mol Med Rep       Date:  2020-10-01       Impact factor: 2.952

9.  Offspring Birth Weight Is Associated with Specific Preconception Maternal Food Group Intake: Data from a Linked Population-Based Birth Cohort.

Authors:  Nastaran Salavati; Petra C Vinke; Fraser Lewis; Marian K Bakker; Jan Jaap H M Erwich; Eline M van der Beek
Journal:  Nutrients       Date:  2020-10-16       Impact factor: 5.717

10.  The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands.

Authors:  Manon J M van Oosten; Richard M Brohet; Susan J J Logtenberg; Anneke Kramer; Lambert D Dikkeschei; Marc H Hemmelder; Henk J G Bilo; Kitty J Jager; Vianda S Stel
Journal:  Clin Kidney J       Date:  2020-11-09
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