Literature DB >> 10859502

Population attributable fraction of stroke incidence in middle-aged and elderly people: contributions of hypertension, smoking and atrial fibrillation.

T Nakayama1, T Yokoyama, N Yoshiike, M M Zaman, C Date, H Tanaka, R Detels.   

Abstract

We determined the population attributable fraction (PAF) of stroke due to hypertension (HT), atrial fibrillation (Af) and smoking in a Japanese community. Residents of Shibata (n = 2,302) who were surveyed initially in 1977 were followed until 1997. Two hundred and thirteen first strokes occurred. Among those 40-64 years of age, the risk ratio (RR) of Af was 11.24, followed by untreated HT (3.61), uncontrolled HT (3.69) and smoking (1.84). The PAFs, however, were 14.9% for smoking, 13.5% for untreated HT, 8.6% for uncontrolled HT and 3.6% for Af. Among those over 65 years, only Af was significant (RR 3.89) and the PAF was 6.0%. Determination of PAFs is also essential for designing effective stroke prevention programs in communities. Copyright 2000 S. Karger AG, Basel

Entities:  

Mesh:

Year:  2000        PMID: 10859502     DOI: 10.1159/000026259

Source DB:  PubMed          Journal:  Neuroepidemiology        ISSN: 0251-5350            Impact factor:   3.282


  8 in total

Review 1.  Smoking and stroke: the more you smoke the more you stroke.

Authors:  Reena S Shah; John W Cole
Journal:  Expert Rev Cardiovasc Ther       Date:  2010-07

2.  Atrial fibrillation is a major risk factor for stroke, especially in women: the Jichi Medical School cohort study.

Authors:  Hiroyuki Iwahana; Shizukiyo Ishikawa; Joji Ishikawa; Tomoyuki Kabutoya; Kazunori Kayaba; Tadao Gotoh; Eiji Kajii
Journal:  J Epidemiol       Date:  2011-02-05       Impact factor: 3.211

3.  Attributable fractions of risk factors for cardiovascular diseases.

Authors:  Atsushi Hozawa
Journal:  J Epidemiol       Date:  2011-01-29       Impact factor: 3.211

4.  Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex.

Authors:  Tai Hwan Park; Youngchai Ko; Soo Joo Lee; Kyung Bok Lee; Jun Lee; Moon-Ku Han; Jong-Moo Park; Yong-Jin Cho; Keun-Sik Hong; Dae-Hyun Kim; Jae-Kwan Cha; Mi-Sun Oh; Kyung-Ho Yu; Byung-Chul Lee; Byung-Woo Yoon; Ji Sung Lee; Juneyoung Lee; Hee-Joon Bae
Journal:  J Stroke       Date:  2015-09-30       Impact factor: 6.967

5.  Prevalence and correlates of stroke among older adults in Ghana: Evidence from the Study on Global AGEing and adult health (SAGE).

Authors:  Olutobi Adekunle Sanuade; Francis Nii-Amoo Dodoo; Kwadwo Koram; Ama de-Graft Aikins
Journal:  PLoS One       Date:  2019-03-13       Impact factor: 3.240

6.  Atrial Fibrillation Diagnosis using ECG Records and Self-Report in the Community: Cross-Sectional Analysis from ELSA-Brasil.

Authors:  Itamar S Santos; Paulo A Lotufo; Luisa Brant; Marcelo M Pinto Filho; Alexandre da Costa Pereira; Sandhi Maria Barreto; Antonio L Ribeiro; G Neil Thomas; Gregory Y H Lip; Isabela M Bensenor
Journal:  Arq Bras Cardiol       Date:  2021-09       Impact factor: 2.000

Review 7.  Behavioural Risk Factors in Mid-Life Associated with Successful Ageing, Disability, Dementia and Frailty in Later Life: A Rapid Systematic Review.

Authors:  Louise Lafortune; Steven Martin; Sarah Kelly; Isla Kuhn; Olivia Remes; Andy Cowan; Carol Brayne
Journal:  PLoS One       Date:  2016-02-04       Impact factor: 3.240

8.  Cigarette Smoking and Incident Stroke in Blacks of the Jackson Heart Study.

Authors:  Adebamike A Oshunbade; Wondwosen K Yimer; Karen A Valle; Donald Clark; Daisuke Kamimura; Wendy B White; Andrew P DeFilippis; Michael J Blaha; Emelia J Benjamin; Emily C O'Brien; Robert J Mentz; Ervin R Fox; Charles S O'Mara; Javed Butler; Adolfo Correa; Michael E Hall
Journal:  J Am Heart Assoc       Date:  2020-06-10       Impact factor: 5.501

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.