caa a22 4500 445358203 CHVBK 20180317142907.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s10072-010-0333-2 doi (NATIONALLICENCE)springer-10.1007/s10072-010-0333-2 Quantifying links between stroke and risk factors: a study on individual health risk appraisal of stroke in a community of Chongqing [Elektronische Daten] [Yazhou Wu, Ling Zhang, Xiaoyan Yuan, Yamin Wu, Dong Yi] The objective of this study is to investigate the risk factors of stroke in a community in Chongqing by setting quantitative criteria for determining the risk factors of stroke. Thus, high-risk individuals can be identified and laid a foundation for predicting individual risk of stroke. 1,034 cases with 1:2 matched controls (2,068) were chosen from five communities in Chongqing including Shapingba, Xiaolongkan, Tianxingqiao, Yubei Road and Ciqikou. Participants were interviewed with a uniform questionnaire. The risk factors of stroke and the odds ratios of risk factors were analyzed with a logistic regression model, and risk exposure factors of different levels were converted into risk scores using statistical models. For men, ten risk factors including hypertension (5.728), family history of stroke (4.599), and coronary heart disease (5.404), among others, were entered into the main effect model. For women, 11 risk factors included hypertension (5.270), family history of stroke (4.866), hyperlipidemia (4.346), among others. The related risk scores were added to obtain a combined risk score to predict the individual's risk of stoke in the future. An individual health risk appraisal model of stroke, which was applicable to individuals of different gender, age, health behavior, disease and family history, was established. In conclusion, personal diseases including hypertension, diabetes mellitus, etc., were very important to the prevalence of stoke. The prevalence of stroke can be effectively reduced by changing unhealthy lifestyles and curing the positive individual disease. The study lays a foundation for health education to persuade people to change their unhealthy lifestyles or behaviors, and could be used in community health services. Springer-Verlag, 2010 Stroke nationallicence Risk factor nationallicence Health risk appraisal nationallicence Logistic regression model nationallicence Wu Yazhou Department of Health Statistics, Third Military Medical University, 400038, Chongqing, People's Republic of China aut Zhang Ling Department of Health Statistics, Third Military Medical University, 400038, Chongqing, People's Republic of China aut Yuan Xiaoyan Department of Hygienic Toxicology, Third Military Medical University, 400038, Chongqing, People's Republic of China aut Wu Yamin State Key Laboratory of Trauma, Burn and Combined Injury, Department of CNS Trauma and Rehabilitation, Research Institute of Surgery, Daping Hospital, Third Military Medical University, 400042, Chongqing, People's Republic of China aut Yi Dong Department of Health Statistics, Third Military Medical University, 400038, Chongqing, People's Republic of China aut Neurological Sciences Springer Milan 32/2(2011-04-01), 211-219 1590-1874 32:2<211 2011 32 10072 https://doi.org/10.1007/s10072-010-0333-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10072-010-0333-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wu Yazhou Department of Health Statistics, Third Military Medical University, 400038, Chongqing, People's Republic of China aut NATIONALLICENCE 700 1- Zhang Ling Department of Health Statistics, Third Military Medical University, 400038, Chongqing, People's Republic of China aut NATIONALLICENCE 700 1- Yuan Xiaoyan Department of Hygienic Toxicology, Third Military Medical University, 400038, Chongqing, People's Republic of China aut NATIONALLICENCE 700 1- Wu Yamin State Key Laboratory of Trauma, Burn and Combined Injury, Department of CNS Trauma and Rehabilitation, Research Institute of Surgery, Daping Hospital, Third Military Medical University, 400042, Chongqing, People's Republic of China aut NATIONALLICENCE 700 1- Yi Dong Department of Health Statistics, Third Military Medical University, 400038, Chongqing, People's Republic of China aut NATIONALLICENCE 773 0- Neurological Sciences Springer Milan 32/2(2011-04-01), 211-219 1590-1874 32:2<211 2011 32 10072 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer