| Objective To describe the Epidemiological characteristics of blood pressure abnormalities (hypotension and hypertension included) among the inhabitants in Guangdong province; to explore the risk factors with classification trees analysis;to find those who were in high risk and to provide evidence for the control of blood pressure abnormalities.Methods By multi-stage sampling, questionnaire, physical and experimental examinations were carried out among the inhabitants aged over 14 years in Guangdong Province. Logistic regression models and classification tree model were used to analyze the relevant factors.ResultsLA random sample of 15,961 inhabitants aged over 14 years in Guangdong Province were surveyed. Proportion of identical results(PIR) for BP was 26.0% and digital preference score (DPS) was 20.6. 2.The crude prevalence rate for hypotension in Guangdong Province in 2002 was 3.9% and the age-standardized rate was 5. 7%(national populat ion).There was a significant difference between males' (2.3%) and ferm ales' rate(5. 1%) ( x2=83.12, P=0.000). Prevalence rate for hypotension was decreased as age increased ( x2=307. 15, P=0.000) .There were altog ether 7 internal nodes and 8 terminal nodes in the classification tre e model for hypotension, and the factors which were arranged accordin g to the importance in model were age(100. 00), cholesterin (72.40),gly cerinate(62. 49), family monthly salt intake(53. 93), waist circumstance (48.48),high density lipoprotein(47.02),body mass index(38.14),occupa tion(24. 03), gender(20. 73), marriage(8. 57), drink(4. 56), smoke(3.17), area (0.75), occupational physical activity(0. 68) and sleeping hours per day(0.35).3. The crude prevalence rate for hypertension in Guangdong Province in 2002 was 16.9% and the age-standardized rate was 11. 7%(nationalpopulation). There was a significant difference between males' (18.6%)and females' rate(15. 6%) ( x2=24. 00, P=Q. 000). There were altogether 11 internal nodes and 12 terminal nodes in the classification tree model for hypertension, and the factors which were arranged according tothe importance in model were separately: age(100. 00), cholesteri(65. 51), glycerinate(62. 76), family monthly salt intake(56. 93), occupatation(43.32),high density lipoprotein (40. 72),body mass index(14.65),waistcircumstance(9. 52), area(l. 18), occupational physical activity(0. 87), gender(0. 81), income(0. 78), sleeping hours per day(0. 24), marriage(0. 08),smoking(0. 07), drinking (0.05).4.In CTA for hypotension .Youden' s index for learning sampling was 0.705(93.4% sensitive and 77.1% specific) and was separately 0.611(88.2% for sensitive and 77.9 specific) for testing sample. In CTA for hypertension, Youden' s index for learning sampling was 0.726(91.0% sensitive and 81.6% specific), and was separately 0.643 (83.8% sensitive and 80.5% specific)for testing sample.Conclusion 1. Hypotension should be of important public attention and hypertension was a big public challenge in Guangdong province. 2. Female, white dew and long sleeping hours were stimulative factors for hypotension, while older age, living alone, heavy occupational physical activity, longer waist circumstance, bigger body mass index, more salt intake and higher concentration of cholesteri or high density lipoprotein or glycerinate were adverse factors for hypotension. Older age, living alone, longer waist circumstance , bigger body mass index, more family salt intake, and higher concentration of cholesterin or high density lipoprotein or glycerinate were stimulative factors. Female and white dew were adverse factors. 3. Compared with Logistic regression model, classification tree model can help to judge the controls and patientsbetter, and presented the results more easily and understandably. All variables could be arranged according to the importance in the model and cross validation could be done with the learning and testing samples. 4. For those who were suffering from hypotension, BMI , cholesteri or high density lipoprotein or glycerinate shoul...
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