Health Information Management Project Topics

Relationship Between Weight and Blood Pressure of Patients With High Blood Pressure.

Relationship Between Weight and Blood Pressure of Patients With High Blood Pressure.

Relationship Between Weight and Blood Pressure of Patients With High Blood Pressure.

CHAPTER ONE

AIMS AND OBJECTIVE

This project work is aimed at investigating whether there is a relationship between weight and blood pressure of patients with high blood pressure.

  1. To estimate the regression model between the variables based on the sample collected.
  2. To test the significance of the coefficient of regression.
  3. To determine the extent and direction of the relationship between the variables; weight and blood pressure.

CHAPTER TWO

LITERATURE REVIEW

In this chapter, we will be looking at measurement of blood weight, types of hypertension, causes of high blood pressure and epidemiologist and their studies on high blood pressure.

INTRODUCTION

Hypertension (HTN) or high blood pressure (HBP) is a chronic medical condition in which the blood pressure in the arteries is elevated. It is classified as either primary (essential) or secondary. About 90-95% of the cases are termed “primary hypertension” which refers to high blood pressure for which no medical cure can be found. The remaining 5-10% of cases (secondary hypertension) are caused by another conditions that affect the kidneys, arteries, heart or endocrine system. Mulatero P, Bertello C. (2009). Persistence hypertension is one of the risk factors for stroke, heart attacks, heart failure and arterial aneurysm and is a leading cause of chronic kidney failure. Moderate elevation of arterial blood pressure leads to short life. Both dietary and lifestyle changes as well as medicines can improve blood pressure control and decrease the risk of associated health complications. Sacks F.M, Svetkey L.P (2008).

Body weight

Although some people prefer the less ambiguous term “body mass” the term body weight is overwhelmingly used on daily basis especially in the context of biological and medical sciences to describe the mass of an organism’s body. Body weight is measured in kilograms through out the world, although in some countries, people more often measure and describe body weight in pounds, e.g United States and Canada or in stones and pounds, eg among people in the Commonwealth of Nations and thus may not be well acquainted with measurement in kilograms.

TYPES OF HYPERTENSION

ESSENTIAL (PRIMARY) HYPERTENSION: This is the most prevalent hypertension type, affecting 90-95% of hypertensive patients. This type of hypertension is a risk factor for hardening of the arteries (atherosclerosis).  It also predispose individuals to heart disease and obstruction of the arteries in the arms and legs (peripheral arterial disease). It is the most important risk factor for death in industrialized countries and increases the risk of stroke, heart attack and heart failure. Uchiyama M. (2008).

 

CHAPTER THREE

RESEARCH METHODOLOGY

The validity as well as the relevance of the statistical investigation depends on the statistical tool or model used in data analysis. In this chapter, I shall review the statistical models to be employed in the analysis of the data which are:- Regression, correlation coefficient R and coefficient of determination R2.

REGRESSION: This describes the relationships between variables. It is a means of studying  the variation of one quantity (dependent variables “Y”) at selected levels of another quantity (independent or predictor variable “X”). The word regression was first used by Prof. Francis Galton in the study of certain genetic relationship.

If we have two variables say X and Y, a straight line relationship between them can be expressed by an equation such as Y=a+bx where ‘a’ and ‘b’ are constants.

CHAPTER FOUR

DATA PRESENTATION AND ANALYSIS

INTRODUCTION

This chapter is based on data analysis, presentation of results and interpretation. The computational techniques which will be employed here has been explained in the previous chapter.

USING REGRESSION ANALYSIS

The formular for regression analysis is given as Y = α + BW

Where Y is the ratio of the systolic over the diastolic and W is the the weight of patients.

CHAPTER FIVE

SUMMARY, CONCLUSION AND RECOMMENDATION

SUMMARY

From the study and analysis carried out it is seen that the condition of patients with high blood pressure is worsened by excess weight and in order for them to become normal they need to work on their weight.

CONCLUSION

The study sought to examine the effect of weight on blood pressure of hypertensive patients Y = 1.726 – 4.32E-03

The empirical findings of the study reveals that weight has an impart on the level of blood pressure and this falls in line with what have been mentioned in our literature review. Therefore, it is wise to say that weight loss may contribute positively in managing the problem of hypertension.

RECOMMENDATION

From our study we can see that excess weight increases the blood pressure of patients with high blood pressure, so in order for the patients to become normal they should be doing the followings:-

  1. Watch and control their food intake by eating more fruits, vegetables, food that contain more fiber and vitamin D, eating more fish and avoid much alcohol intake.
  2. They should engage themselves in regular aerobic exercise. That is, walking or running for about 20 to 30 minutes most days of the week.
  3. Visit the clinic more frequently and take anti-hypertensive drugs.

Finally, for further study on this topic I recommend that an increase in the sample size will enable us have a better understanding of the estimate of the relationship existing between the variables used.

REFERENCES

  • Adewoye S.O (2004). “Basic Statistic for Engineering Economics and Management”. Ibadan: Olukayode Ojo comm.. Ent. Printers. 318-324.
  • Burt Vl, Cutler JA, Higgins M (2000). “Trends in the Prevalent Awareness, Treatment and Control of Hypertension in Adult US Population”. Data from the health examination surveys 1996-1998  Hypertension (1): 60-9.
  • Chobanian AV, Bakris GL and Black HR (2003). “Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation and            Treatment of High Blood Pressure” Hypertension (6): 1206-52.
  • GREENHALGH J, DICKSON R AND DUNDAR Y (October 2009) “The Effect of            Biofeedback for the Treatment of Essential Hypertension: A Systematic            Review” Health Technology.
  • HEMMELGARN BR, Mc ALLISTER FA AND MYERS MG (June 2005) “The 2006           Canadian Hypertension Education Program Recommendation for the          Management of Hypertension: Part 1-Blood Pressure Measurement, Diagnosis          and assessment of Risk”.  The Canadian Journal of Cardiology
  • Igwenagu C, (2008). “Introduction to Statistics”. Centre for Research and         Statistical Data Analysis Enugu.
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