Literature DB >> 27242089

Predicting Coronary Heart Disease and Stroke: The FINRISK Calculator.

Erkki Vartiainen1, Tiina Laatikainen2, Markku Peltonen3, Pekka Puska3.   

Abstract

The FINRISK risk calculator predicts 10-year risk for coronary heart disease, stroke incidence, and their combination. The model is based on 10-year cohort follow-up from 3 different cohorts in 1982, 1987, and 1992 from a random population sample in 3 areas in Finland. Coronary heart disease, stroke, and their combination are predicted by smoking, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, diabetes, and family history. The Internet-based calculator is commonly used in Finland in health services to assess the need for hypertension and hypercholesterolemia treatment and is used also in patients' counseling.
Copyright © 2016 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.

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Year:  2016        PMID: 27242089     DOI: 10.1016/j.gheart.2016.04.007

Source DB:  PubMed          Journal:  Glob Heart        ISSN: 2211-8160


  6 in total

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Authors:  Katarzyna Dziopa; Folkert W Asselbergs; Jasmine Gratton; Nishi Chaturvedi; Amand F Schmidt
Journal:  Diabetologia       Date:  2022-01-15       Impact factor: 10.122

3.  Associations of Depressive Symptoms and Cognition in the FINGER Trial: A Secondary Analysis of a Randomised Clinical Trial.

Authors:  Elisa Neuvonen; Jenni Lehtisalo; Tiia Ngandu; Esko Levälahti; Riitta Antikainen; Tuomo Hänninen; Tiina Laatikainen; Jaana Lindström; Teemu Paajanen; Hilkka Soininen; Timo Strandberg; Jaakko Tuomilehto; Miia Kivipelto; Alina Solomon
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4.  Psychosocial determinants for adherence to a healthy lifestyle and intervention participation in the FINGER trial: an exploratory analysis of a randomised clinical trial.

Authors:  Elisa Neuvonen; Jenni Lehtisalo; Alina Solomon; Riitta Antikainen; Satu Havulinna; Tuomo Hänninen; Tiina Laatikainen; Jaana Lindström; Nina Rautio; Hilkka Soininen; Timo Strandberg; Jaakko Tuomilehto; Miia Kivipelto; Tiia Ngandu
Journal:  Aging Clin Exp Res       Date:  2022-02-19       Impact factor: 4.481

5.  Which anthropometric measures best indicate type 2 diabetes among Russian, Somali and Kurdish origin migrants in Finland? A cross-sectional study.

Authors:  Natalia Skogberg; Tiina Laatikainen; Annamari Lundqvist; Eero Lilja; Tommi Härkänen; Päivikki Koponen
Journal:  BMJ Open       Date:  2018-05-17       Impact factor: 2.692

6.  Third follow-up of the Cardiovascular Risk Factors, Aging and Dementia (CAIDE) cohort investigating determinants of cognitive, physical, and psychosocial wellbeing among the oldest old: the CAIDE85+ study protocol.

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  6 in total

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