The Association of Hypertension Diagnosis with Smoking Cessation: Application of Multiple Logistic Regression Using Biostatistical and Epidemiological Methods by LaTonia A. Clay Under the Direction of Yu-Sheng Hsu, PhD. ABSTRACT Hypertension and smoking are two major issues threatening the nation’s health. Previous studies examining their relationship have resulted in conflicting reports. The aim of this study is to determine if a relationship exists between smoking cessation and hypertension diagnosis. Data from the Third National Health and Nutrition Examination Survey (NHANES III) were used in this investigation. Physical examination measurements of blood pressure and self-reported diagnosis and smoking behavior were used to define hypertension and smoking status. The odds of prior hypertension diagnosis associated with smoking cessation was estimated from a multivariate logistic regression model, adjusting for gender, age, ethnicity, BMI, physical activity, HDL cholesterol, and alcohol use. Results of the investigation found that unsuccessful smoking cessation was associated with a decreased odds of prior hypertension diagnosis, adjusting for the presence of confounders (OR=0.816, p<.001). Thus, hypertension diagnosis may indeed lead to the decision to quit smoking. Future studies on this finding are encouraged. INDEX WORDS: hypertension, smoking, cessation, diagnosis, logistic regression, NHANES
| Identifer | oai:union.ndltd.org:GEORGIA/oai:digitalarchive.gsu.edu:math_theses-1017 |
| Date | 04 December 2006 |
| Creators | Clay, LaTonia |
| Publisher | Digital Archive @ GSU |
| Source Sets | Georgia State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Mathematics Theses |
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