Physical health-related quality of life predicts stroke in the EPIC-Norfolk.

TitlePhysical health-related quality of life predicts stroke in the EPIC-Norfolk.
Publication TypeJournal Article
Year of Publication2007
AuthorsMyint, PK, Surtees, PG, Wainwright, NWJ, Luben, RN, Welch, AA, Bingham, SA, Wareham, NJ, Khaw, K-T
JournalNeurology
Volume69
Issue24
Pagination2243-8
Date Published2007 Dec 11
ISSN1526-632X
KeywordsAdult, Aged, Female, Follow-Up Studies, Health Status Indicators, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Quality of Life, Risk Factors, Stroke
Abstract

OBJECTIVE: To examine the relationship between Short Form (SF)-36 physical functional health-related quality of life and incident stroke.METHODS: A total of 13,615 men and women participating in the European Prospective Investigation into Cancer-Norfolk who were free of stroke, myocardial infarction, and cancer at baseline were included in the study. Participants completed a health and lifestyle questionnaire and attended a health examination during 1993 to 1997. Self-reported physical functional health was assessed using physical component summary scores of SF-36 18 months later. Stroke incidence was ascertained by death certification and hospital record linkage up to 2005.RESULTS: There were 244 incident strokes (total person years = 99,191). People who reported better physical functional health had significantly lower risk of incident stroke. Using Cox proportional hazard models adjusting for age, sex, body mass index, systolic blood pressure, cholesterol, smoking, diabetes, physical activity, social class, alcohol consumption, and respiratory function, men and women who were in the top quartile of SF-36 physical component summary scores had half the risk of stroke (RR = 0.50 [0.31, 0.78]) compared to the people in the bottom quartile. The relationships remained unchanged after excluding strokes occurring within the first 2 years of follow-up.CONCLUSIONS: Physical functional health-related quality of life measured as Short Form-36 predicts subsequent stroke risk independently of known risk factors in a general population. Poor physical functional health may indicate a high-risk population for stroke who may benefit most from targeted preventive interventions such as management of known risk factors.

DOI10.1212/01.wnl.0000296010.21252.78
Alternate JournalNeurology
Citation Key10.1212/01.wnl.0000296010.21252.78
PubMed ID18071144
Grant ListG0300128 / / Medical Research Council / United Kingdom
G0401527 / / Medical Research Council / United Kingdom
MC_U105630924 / / Medical Research Council / United Kingdom
MC_U106179471 / / Medical Research Council / United Kingdom