Predictors of future stroke in adults 60-64 years living in the community  

作　　者：Nicolas Cherbuin Leeanne Carey Moyra Mortby Kaarin J Anstey 

机构地区：[1]Centre for Research on Ageing, Health and Wellbeing, Australian National University [2]Neurorehabilitation and Recovery, Stroke Division, the Florey Institute of Neuroscience and Mental Health [3]Department of Occupational Therapy, La Trobe University

出　　处：《World Journal of Neurology》2016年第1期14-22,共9页世界神经病学杂志

基　　金：Supported by The Dementia Collaborative Research Centre;the Centre for Excellence in Ageing Research;National Health and Medical Research Council of Australia,Nos.973302,179805,157125;Australian Research Council,No.130101705;funded by Australian Research Council Future Fellowship,No.120100227;by an Alzheimer Australia Foundation Fellowship;by National Health and Medical Research Council Fellowship,No.1002560;by Australian Research Council Future Fellowship,No.0992299;the James S.Mc Donnell Foundation 21st Century Science Initiative in Cognitive Rehabilitation-Collaborative Award,No.220020413;the Victorian Government’s Operational Infrastructure Support Program

摘　　要：AIM:To investigate predictors of incident stroke in a large epidemiological sample of cognitively healthy individuals in their early 60's.METHODS:Cardiovascular(systolic and diastolic blood pressure, hypertension status and medication, body mass index, lung forced vital capacity), lifestyle(alcohol intake, smoking, physical activity), mental health(anxiety and depression status, medication and symptomatology), cognition(executive function, processing speed, working memory, sensorimotor skills), and personality measures(behavioural inhibition and activation, positive and negative affect, neuroticism, psychoticism, extraversion) were investigated as predictors of incident stroke in 1774 participants from the Personality and Total Health Through Life Project over an 8-year follow-up.Logistic regression analyses controlled for age, gender, and education were conducted in the whole cohort as well as in case-control subanalyses including precisely matched controls to identify factors associated with stroke incidence.RESULTS:The cohort selected had a mean age of 62.5 years(SD = 1.5) and was 48.6% female with an average of 14.1 years of education(SD = 2.6).When 28 individuals with incident stroke were compared to 1746 cognitively healthy individuals in multivariate logistic regression analyses the only significant predictors of stroke across the five domains considered(cardiovascular, lifestyle, mental health, cognition, personality) and after controlling for gender, age, and education were systolic blood pressure(per unit above 140 mm Hg:OR = 1.04, 95%CI:1.01-1.07, P = 0.002), smoking(trend OR = 2.28, 95%CI:0.99-5.24, P = 0.052), and sensorimotor skills(purdue pegboard:OR = 0.80, 95%CI:0.62-0.96, P = 0.037).Similarly, in matched-control analyses significant group differences were found for systolic blood pressure(P = 0.001), smoking(P = 0.036), and sensorimotor skills(P = 0.028).CONCLUSION:Identified predictors of incident stroke in community-living individuals included high systolic blood pressure and smoking- but alsoAIM:To investigate predictors of incident stroke in a large epidemiological sample of cognitively healthy individuals in their early 60's.METHODS:Cardiovascular(systolic and diastolic blood pressure, hypertension status and medication, body mass index, lung forced vital capacity), lifestyle(alcohol intake, smoking, physical activity), mental health(anxiety and depression status, medication and symptomatology), cognition(executive function, processing speed, working memory, sensorimotor skills), and personality measures(behavioural inhibition and activation, positive and negative affect, neuroticism, psychoticism, extraversion) were investigated as predictors of incident stroke in 1774 participants from the Personality and Total Health Through Life Project over an 8-year follow-up.Logistic regression analyses controlled for age, gender, and education were conducted in the whole cohort as well as in case-control subanalyses including precisely matched controls to identify factors associated with stroke incidence.RESULTS:The cohort selected had a mean age of 62.5 years(SD = 1.5) and was 48.6% female with an average of 14.1 years of education(SD = 2.6).When 28 individuals with incident stroke were compared to 1746 cognitively healthy individuals in multivariate logistic regression analyses the only significant predictors of stroke across the five domains considered(cardiovascular, lifestyle, mental health, cognition, personality) and after controlling for gender, age, and education were systolic blood pressure(per unit above 140 mm Hg:OR = 1.04, 95%CI:1.01-1.07, P = 0.002), smoking(trend OR = 2.28, 95%CI:0.99-5.24, P = 0.052), and sensorimotor skills(purdue pegboard:OR = 0.80, 95%CI:0.62-0.96, P = 0.037).Similarly, in matched-control analyses significant group differences were found for systolic blood pressure(P = 0.001), smoking(P = 0.036), and sensorimotor skills(P = 0.028).CONCLUSION:Identified predictors of incident stroke in community-living individuals included high systolic blood pressure and smoking- but also

关 键 词：SMOKING Fine motor skills Longitudinal Epidemiology Hypertension COGNITION PERSONALITY STROKE 

分 类 号：R[医药卫生]