Kaja Tikk1, Disorn Sookthai1, Stefano Monni1, Marie-Luise Gross1, Christoph Lichy1, Manja Kloss1, Rudolf Kaaks2. 1. From the Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany (K.T., D.S., S.M., M.-L.G., R.K.); Department of Neurology, Memmingen Hospital, Memmingen, Germany (C.L.); and Department of Neurology, Neurological Clinic, University of Heidelberg, Heidelberg, Germany (M.K.). 2. From the Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany (K.T., D.S., S.M., M.-L.G., R.K.); Department of Neurology, Memmingen Hospital, Memmingen, Germany (C.L.); and Department of Neurology, Neurological Clinic, University of Heidelberg, Heidelberg, Germany (M.K.). r.kaaks@dkfz.de.
Abstract
BACKGROUND AND PURPOSE: Because primary prevention of stroke is a priority, our aim was to assess the primary preventive potential of major lifestyle risk factors for stroke in middle-aged women and men. METHODS: Among 23,927 persons, 551 (195 women and 356 men) had a first diagnosis of stroke during an average follow-up of 12.7 years. Using Cox proportional hazards models, we estimated the associations of adiposity, smoking, physical activity, alcohol consumption, and diet with risk of developing stroke. A competing risk model built from cause-specific proportional hazards models accounting for concurrent risk of death was used to calculate relative and absolute reductions in stroke occurrences that could have been achieved by maintaining a healthy lifestyle pattern. RESULTS: Obesity, smoking, alcohol consumption, diet, and physical inactivity were each identified as modifiable lifestyle risk factors for stroke. About 38% of stroke cases were estimated as preventable through adherence to a healthy lifestyle profile (never smoking, maintaining optimal body mass index and waist circumference, performing physical exercise, consuming a moderate quantity of alcohol, and following a healthy dietary pattern). Age-specific estimates of 5-year incidence rates for stroke in the actual cohort and in a hypothetical, comparable cohort of individuals following a healthy lifestyle would be reduced from 153 to 94 per 100,000 women and from 261 to 161 per 100,000 men for the age group 60 to 65 years. CONCLUSIONS: Our analysis confirms the strong primary prevention potential for stroke based on avoidance of excess body weight, smoking, heavy alcohol consumption, unhealthy diet, and physical inactivity.
BACKGROUND AND PURPOSE: Because primary prevention of stroke is a priority, our aim was to assess the primary preventive potential of major lifestyle risk factors for stroke in middle-aged women and men. METHODS: Among 23,927 persons, 551 (195 women and 356 men) had a first diagnosis of stroke during an average follow-up of 12.7 years. Using Cox proportional hazards models, we estimated the associations of adiposity, smoking, physical activity, alcohol consumption, and diet with risk of developing stroke. A competing risk model built from cause-specific proportional hazards models accounting for concurrent risk of death was used to calculate relative and absolute reductions in stroke occurrences that could have been achieved by maintaining a healthy lifestyle pattern. RESULTS: Obesity, smoking, alcohol consumption, diet, and physical inactivity were each identified as modifiable lifestyle risk factors for stroke. About 38% of stroke cases were estimated as preventable through adherence to a healthy lifestyle profile (never smoking, maintaining optimal body mass index and waist circumference, performing physical exercise, consuming a moderate quantity of alcohol, and following a healthy dietary pattern). Age-specific estimates of 5-year incidence rates for stroke in the actual cohort and in a hypothetical, comparable cohort of individuals following a healthy lifestyle would be reduced from 153 to 94 per 100,000 women and from 261 to 161 per 100,000 men for the age group 60 to 65 years. CONCLUSIONS: Our analysis confirms the strong primary prevention potential for stroke based on avoidance of excess body weight, smoking, heavy alcohol consumption, unhealthy diet, and physical inactivity.
Authors: Emelia J Benjamin; Michael J Blaha; Stephanie E Chiuve; Mary Cushman; Sandeep R Das; Rajat Deo; Sarah D de Ferranti; James Floyd; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Rachel H Mackey; Kunihiro Matsushita; Dariush Mozaffarian; Michael E Mussolino; Khurram Nasir; Robert W Neumar; Latha Palaniappan; Dilip K Pandey; Ravi R Thiagarajan; Mathew J Reeves; Matthew Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Comilla Sasson; Amytis Towfighi; Connie W Tsao; Melanie B Turner; Salim S Virani; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner Journal: Circulation Date: 2017-01-25 Impact factor: 29.690
Authors: Valery L Feigin; Bo Norrving; Mary G George; Jennifer L Foltz; Gregory A Roth; George A Mensah Journal: Nat Rev Neurol Date: 2016-07-22 Impact factor: 42.937
Authors: Bo Norrving; Stephen M Davis; Valery L Feigin; George A Mensah; Ralph L Sacco; Cherian Varghese Journal: Neuroepidemiology Date: 2015-10-28 Impact factor: 3.282