Application of classification tree and logistic regression for the management and health intervention plans in a community-based study.
BACKGROUND
A community-based aboriginal study was conducted and analysed to explore the application of classification tree and logistic regression.


METHODS
A total of 1066 aboriginal residents in Yilan County were screened during 2003-2004. The independent variables include demographic characteristics, physical examinations, geographic location, health behaviours, dietary habits and family hereditary diseases history. Risk factors of cardiovascular diseases were selected as the dependent variables in further analysis.


RESULTS
The completion rate for heath interview is 88.9%. The classification tree results find that if body mass index is higher than 25.72 kg m(-2) and the age is above 51 years, the predicted probability for number of cardiovascular risk factors > or =3 is 73.6% and the population is 322. If body mass index is higher than 26.35 kg m(-2) and geographical latitude of the village is lower than 24 degrees 22.8', the predicted probability for number of cardiovascular risk factors > or =4 is 60.8% and the population is 74. As the logistic regression results indicate that body mass index, drinking habit and menopause are the top three significant independent variables.


CONCLUSIONS
The classification tree model specifically shows the discrimination paths and interactions between the risk groups. The logistic regression model presents and analyses the statistical independent factors of cardiovascular risks. Applying both models to specific situations will provide a different angle for the design and management of future health intervention plans after community-based study.
Teng
Ju-Hsi
JH
Community Health Bureau, Yilan County, Taiwan.
Lin
Kuan-Chia
KC
Ho
Bin-Shenq
BS
D000328:Adult; D044466:Asian People / Q000145:classification*; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000208:ethnology*; D003256:Community Participation; D003710:Demography; D004032:Diet / Q000208:ethnology / Q000706:statistics & numerical data; D005260:Female; D020022:Genetic Predisposition to Disease / Q000208:ethnology; D015438:Health Behavior / Q000208:ethnology; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012111:Residence Characteristics; D012307:Risk Factors; D013624:Taiwan / Q000453:epidemiology