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The Clinical Onset Time?Climate Characteristics And Influencing Factors Of Acute Stroke In Yuanzhou County Of Yichun

Posted on:2017-10-30Degree:MasterType:Thesis
Country:ChinaCandidate:S D YinFull Text:PDF
GTID:2334330485997586Subject:Epidemiology and Health Statistics
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Objective: To clarify the season and onset time characteristics of acute stroke in Yichun city; and understand the distribution of gender, age in acute stroke patients, explore the influence factors of stroke, and put forward some relevant Suggestions for stroke control and prevention.Methods From January 1, 2012 to December 31, 2014, we selected 1462 acute stroke cases from people's hospital of yi chun city and collected medical record information of each patient(including personal history, past medical history, visit hospital time, onset time, records, etc.) and meteorological data from 2012 to 2014. Description analysis, single factor correlation analysis and multivariate stepwise regression analysis and some other methods were used to explore the season characteristics and meteorological environment factors for the onset of acute stroke. We used the case-control study method to analysis medical history, life history, body index, and their relation with stroke. Also, between January 1, 2014 to January1, 2015, 452 stroke cases and 458 health control cases were selected in people's hospital of Yi chun city. Questionnaire survey method was used to study the general conditions, the object of study habits, past history and blood biochemical indexes.Results Yichun city has the greatest number of stroke onset in January, February and December, namely the onset of winter largest number; Stroke in March, April and May in the least, the spring the lowest incidence rates in the spring. There was more acute stroke patients occurred in winter than in summer, more male than female. Patients over than 60 years old account 58%;(1)Multiple linear regression analysis showed there had negative correlation between the occurrence of cerebral infarction with Ta, Tl, and positive correlation with Ha(P < 0.05). There had negative correlation between cerebral hemorrhage and Ta, Tl, Pa, Ha(P < 0.05).we found no statistical significance correlation between AQI and acute stroke.(2)Unconditioned logistic single factor analysis showed that hypertension history(OR=4.424), diabetes history(OR=2.214), heart disease history(OR=5.510), drinking(OR=3.340), smoking(OR = 4.189), abnormal BMI(OR=3.125), abnormal FBG(OR = 2.183), abnormal TG(OR = 2.125), abnormal LDL(OR = 2.616), abnormal TC(OR = 1.235) were associated with acute stroke(P < 0.05). Often physical exercise is protection factor of stroke(OR = 0.232, P < 0.05). Diet and location were found no associated with the stroke(P > 0.05).(3)Multiple factors analysis showed that smoking(OR = 4.124, 95% CI: 2.893 ~ 5.355); Hypertension(OR = 5.210, 95% CI: 3.960 ~ 6.460); abnormal BMI(OR = 3.231, 95% CI: 2.456 ~ 4.006); Diabetes(OR = 2.560, 95% CI: 1.946 ~ 3.174); LDL(OR = 2.319, 95% CI: 1.762 ~ 2.876) were risk factors for stroke; often physical exercise is protection factor(OR = 0.214, 95% CI: 0.063 ~ 0.365). We found no relation of history of heart disease, drinking, poor sleep quality, abnormal TC, TG, FBG factors and stroke occurrence by multivariate statistical analysis(P > 0.05).Conclusion(1) there was high incidence of stroke in winter than in summer;(2)The average temperature is low easy to cause the onset of stroke increases, Ta, Tl, Ha, Pa is significantly associated with the onset of stroke.(3)Hypertension, diabetes, dyslipidemia, smoking, obesity, lack of physical exercise were important risk factors for the onset of stroke.Suggestion We should strengthen consciousness of preservation heat measures in the elderly in winter and spring, especially the temperature mutation; Strengthen the prevention and control of chronic diseases such as hypertension, dyslipidemia, diabetes, to prevent the occurrence of stroke, and the high-risk population should carry out physical exercise and smoking cessation.
Keywords/Search Tags:Stroke, Meteorological factors, Case-control study, Risk factors
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