摘要
Background and Purpose— this study was conducted to determine the risk factors for stroke in Indonesia. Methods— our data are based on Riskesdas 2007 were conducted by The National Institute for Research and Development, Department of Health, Republic of Indonesia in 33 provinces. Logistic regression methods for matched pairs were used to estimate the relative risk for the variables studied. Results— in a multivariate analysis, results indicate that age (OR (.655 (95% CI (.611-.702)), gender (.646 ((95% CI (.603-.692)), education (.916 (95% CI (.858-.979)),occupation (1.414 (95% CI (.611-.702)), heart diseases (.559 (95% CI (.524-.597)),diabetes mellitus (.435 (95% CI (.392-.483)), hypertension (.053 (95% CI (.050-.057)), cigarette smoking (1.264 (95% CI (1.171-1.364)), physical activity (3.099 (95% CI(2.897-3.316)), and body mass index (.935 (95% CI (.881-.993)) were significant and independent risk factors for stroke in Indonesia (p＜0.05). Three variables are not significant, including expenditure (p value=.990) (1.000 (95% CI (.930-1.076)), area (p value=.236) (.964 (95% CI (.906-1.025)), and alcohol drinking (p value=.861) (.986(95% CI (.847-1.148)). Conclusions— the significant risk factors for stroke in Indonesia are similar to those from other populations and cohorts. This study, the first of stroke risk factors in Indonesia in large scale, has implications for clinical practice and the planning of stroke prevention in the population.
並列摘要
Background and Purpose— this study was conducted to determine the risk factors for stroke in Indonesia. Methods— our data are based on Riskesdas 2007 were conducted by The National Institute for Research and Development, Department of Health, Republic of Indonesia in 33 provinces. Logistic regression methods for matched pairs were used to estimate the relative risk for the variables studied. Results— in a multivariate analysis, results indicate that age (OR (.655 (95% CI (.611-.702)), gender (.646 ((95% CI (.603-.692)), education (.916 (95% CI (.858-.979)),occupation (1.414 (95% CI (.611-.702)), heart diseases (.559 (95% CI (.524-.597)),diabetes mellitus (.435 (95% CI (.392-.483)), hypertension (.053 (95% CI (.050-.057)), cigarette smoking (1.264 (95% CI (1.171-1.364)), physical activity (3.099 (95% CI(2.897-3.316)), and body mass index (.935 (95% CI (.881-.993)) were significant and independent risk factors for stroke in Indonesia (p＜0.05). Three variables are not significant, including expenditure (p value=.990) (1.000 (95% CI (.930-1.076)), area (p value=.236) (.964 (95% CI (.906-1.025)), and alcohol drinking (p value=.861) (.986(95% CI (.847-1.148)). Conclusions— the significant risk factors for stroke in Indonesia are similar to those from other populations and cohorts. This study, the first of stroke risk factors in Indonesia in large scale, has implications for clinical practice and the planning of stroke prevention in the population.