Statistical Model Of Effects Of Overweight On Patients With High Blood Pressure Case Study University Of Nigeria Teaching Hospital

The number of people with high blood pressure is in the increase and research has shown that this condition is heightened by overweight of the patient. That is to say, the more one increases in weight, the higher the tendency of him or her becoming hypertensive. Mori TA (2007).

In essence, there is a symbolic relationship between being over-weight and being hypertensive or having high blood pressure. It is in the interest of people who are likely to develop high blood pressure (over-weight people) to seek out ways of managing their weight, as this research work will try to bring out the effects of weight on such people with high blood pressure. What seems unresolved here is the extent to which weight affect people suffering from high blood pressure. Many writers’ views will be examined in the cause of this work to help resolve the issue at stake.

Over-weight here will be described or rather defined based on a calculation called “Body mass index” (BMI). According to this formular, one is regarded as over-weight if his BMI is greater than 25. Mancia G. (2007). High  blood pressure on the other hand occurs when one’s blood move through the arteries at a higher speed than normal. It is also known that for now there is no cure for high blood pressure. Papadakis A, Macphere J. (2008).

Title Page

Table Of Content

CHAPTER ONE

1.0 Introduction 

1.1 Background Of The Study

1.2 Aims And Objective

1.3 Scope Of The Study

1.4 Limitations Of The Study

1.5 Significance Of The Study

1.6 Definition Of Terms

CHAPTER TWO

2.0 Literature Review

2.1 Introduction Hypertension/High Blood Pressure 

2.2 Body Weight

2.3 Types Of Hypertension

2.4 Causes Of High Blood Pressure

2.5 Signs And Symptoms Of High Blood Pressure

2.6 Epidemiologists And Their Studies On High Blood Pressure

CHAPTER THREE

3.0 Research Methodology

3.1 Regression

3.2 Correlation Coefficient ‘R’

3.3 Coefficient Of Determination

3.4 Relationships Between Corelation And Regression

3.5 Measurement Of Hypertension  

CHAPTER FOUR

4.0 Data Presentation And Analysis

4.1 Introduction 

4.2 Using Regression Analysis

CHAPTER FIVE

5.0 Summary, Conclusion And Recommendation

5.1 Summary 

5.2 Conclusion

5.3 Recommendation 

References