Report on Quantitative Research Method

Running head: QUANTITATIVE RESEARCH METHODS
Quantitative Research Methods
Name of Student
Name of University
Author’s Note

1QUANTITATIVE RESEARCH METHODS
Abstract
The aim of the report is to discuss whether there is any significant difference between the
BMI, the height and weight, blood sugar levels and blood cholesterol levels of walking and non-
walking persons based on the data provided. The analysis has been conducted using the
statistical software SPSS. From the analysis, it has been observed that the BMI and blood sugar
level do not differ between the walking and the non-walking group of people.

2QUANTITATIVE RESEARCH METHODS
Table of Contents
1.0 Introduction................................................................................................................................3
1.1 Background............................................................................................................................3
1.2 Information of the analysis conducted...................................................................................3
2.0 Methods.....................................................................................................................................4
2.1 Population and sampling strategy..........................................................................................4
2.2 Variables and measures.........................................................................................................5
3.0 Results........................................................................................................................................6
3.1 Demographic Analysis...............................................................................................................6
3.2 Hypothesis Tests....................................................................................................................8
3.2.1 Test 1..............................................................................................................................8
3.2.2 Test 2..............................................................................................................................9
3.2.3 Test 3..............................................................................................................................9
3.2.4 Test 4............................................................................................................................10
3.2.5 Test 5............................................................................................................................11
4.0 Discussions..............................................................................................................................11
APPENDIX A................................................................................................................................13
APPENDIX B................................................................................................................................18

3QUANTITATIVE RESEARCH METHODS
1.0 Introduction
1.1 Background
There is a link to the way in which physical activity is related to the insulin sensitivity. It
is also related to the glucose intolerance in individuals and is also responsible for reducing the
risks of type 2 diabetes (1). It has been found that the patients with type 2 diabetes are
recommended to perform moderate to vigorous aerobic exercises like running or bicycling. It is
however seen that the patients find it hard to do high impact exercises due to their impaired
intolerance to any forms of physical activity (2). After these considerations it can be said that
walking is the best choice and the most popular exercise among the patients with diabetes. This
is due to the reason that it requires no specific skills and also has minimal adverse effects (3). In
order to understand and assess the impact of the exercise due to the impaired intolerance to the
physical activity a proper analysis of the data related to the type two diabetes patients were
conducted.
1.2 Information of the analysis conducted
A meta-analysis of the randomized control trial was conducted in order to assess the
effect of walking on the glycemic control and other cardio-vascular risk factors in case of the
people with type two diabetes. There were 866 participants who were included from 20
randomized control trials and helped in finding support that walking helps to reduce HbA1c
among the diabetes patients and also helps to reduce the body mass index and the diastolic blood
pressure.
Another study was conducted to examine the effects of regular walking on the
biochemical and behavioral aspects in case of the elder people with type 2 diabetes. A
randomized design was conducted and used in case of the experimental and the control groups.

4QUANTITATIVE RESEARCH METHODS
The experimental group received six months walking exercise program and diet control
education program. The regular waling exercise is effective in the daily consumption activity and
energy consumption and the decreasing the fasting blood glucose, HbA1c and also the
triglyceride level. These analyses were conducted to assess the effectiveness of walking on the
glucose control in the patients with type 2 diabetes. Thus this study aims to find out whether
brisk walking is helpful in the maintenance of decreasing glucose level in healthy individuals.
Thus this study aims to find whether brisk walking is beneficial in the decreasing glucose level in
males and females aged 40-65 years who reside in the Pauma Community of Island.
Blood glucose is basically defined as the concentration of glucose in the blood which is
represented in milligrams of glucose per deciliter of blood (4). Normal adult blood glucose levels
range from 70 to 115 mg/dl with generally higher levels after 50 years of age. Fasting serum
glucose of 126 mg/dl on two or more occasions signifies diabetes mellitus (5).
Walking is characterized by sequential movement or progression in steps. The body mass
index is also known as the Quetlet Index is a measure for indicating nutritional status in case of
adults. It is defined as a person’s weight in kilograms which is divided by the square of the
person’s height in meters (6).
2.0 Methods
2.1 Population and sampling strategy
The total number of subjects chosen was 55 in number. The analysis was done on the
chosen subjects. The context for the study was the Pauma community. The population of interest
consisted of males aged between 40-65 years.

5QUANTITATIVE RESEARCH METHODS
Sampling: The target population is comprised of males aged between 40-65 years who
reside in the Pauma community. Then a random sample of 40 was chosen by a method of simple
random sample based on the first come first chosen basis. Then they would be divided into two
groups which comprised the intervention group and the control group. The intervention group
will perform walking for 30 minutes and the second group will be in the waiting list which will
not involve any walking group.
2.2 Variables and measures
The different variables and their types are discussed and mentioned and their nature of
role is also discussed. The following table shows these details clearly.
Variable Type Role Level of Units Measure
Blood glucose continuous Primary
explanatory
mg/dl Self- report
Height continuous explanatory metres Self-report
Weight continuous explanatory kilograms Self-report
BMI continuous explanatory Self-report
walking nominal Primary
explanatory
30 minutes
walking/ no
walking
Self -report
Name nominal explanatory name Self-report
Age continuous explanatory years Self-report
Consent ordinal explanatory Yes/no Self-report