Relationship Between High Body Mass, Cholesterol, Blood Pressure and Gender, Research Paper Example

Results

A correlation had been established in hypothesis # 1 between weight and systolic blood pressure. In hypothesis # 2, a correlation had been established between cholesterol level and weight. As a result, the hypothesis for # 1 and # 2 had been accepted. In hypothesis # 3, it had been proposed that there was a correlation between blood pressure status and cholesterol levels. As a result, the null hypothesis had been accepted for hypothesis # 3. In hypothesis # 4, it had been inferred that there was no relationship between gender and systolic blood pressure. Hypothesis # 4 had been disproven and the null hypothesis had been accepted for number 4.

Discussion

The first relationship that was reviewed was the correlation of the systolic blood pressure among the members of distinct weight classes. The hypotheses had been confirmed and the null hypothesis was rejected. The hypothesis was confirmed for the hypothesis # 1 as a result of the evaluation of the variables in the table with systolic blood pressure variables. In the systolic variables, the average systolic pressure was assessed as 125.70 mm/ Hg for the underweight group, 128.93 mm/Hg for the members of the normal group and 140.81 mm/ Hg for the members of the overweight group. The minimum systolic pressures were assessed at 82 mm/ Hg for the underweight group members, 86 mm/ HG for the members in the normal category and 90 mm/ Hg for the members of the overweight category.

As a result of the analysis, it had been determined that the systolic blood pressure among the underweight, normal and overweight group members to be equivalent with particular standard deviations. In addition the Tukey test had been conducted. It was determined that there was not a substantial difference between the systolic pressures of the underweight and overweight group members. In the box and whisker charts it had been demonstrated that there were no substantial differences in the systolic blood pressure and the weight classes of the respondents.

The second hypothesis that was examined for validity was hypothesis # 2. Hypothesis # 2 involved the assessment of the distinct cholesterol statistics among the members of the three weight categories. These weight categories were underweight, normal and overweight. In the evaluation of the variable cholesterol it was reviewed that there had been slight distinctions between the mean values for the members of the underweight, normal and members of the overweight group.

Consequently, the standard deviations were examined and they had all been within overlapping ranges. Consequently, the hypothesis # 2 had been confirmed and the null hypothesis # 2 was rejected. The value of the Chi square test which demonstrated a value that approximated zero for R – square indicated that there had been no correlation between the cholesterol levels of the respondents and their systolic blood pressure. As a result, the second null hypothesis was rejected in its entirety.

The third hypothesis which had been reviewed for validity was hypothesis # 3. In hypothesis # 3, the hypothesis was rejected and the null hypothesis had been accepted. The hypothesis was that there is no relationship between the cholesterol levels and the blood pressure levels. This hypothesis had been disproven by the frequency table. Furthermore, the Chi square had an elevated value which migrated away from zero. These statistics confirmed that there was a relationship between the cholesterol levels and the blood pressure levels. As a result, the hypothesis # 3 is rejected and the null hypothesis is accepted for # 3.

In hypothesis # 4, the relationship between gender and blood pressure was reviewed. The hypothesis # 4 stated that there was no relationship between gender and blood pressure. The null hypothesis stated that there is a relationship between gendered and blood pressure. The tables had been reviewed and a relationship was viewed between the respondents’ gender and their blood pressure status. In addition, the Chi- square value migrated away from zero. The values of the Chi- square and the values in the frequency table caused the observation to be made that the hypothesis for number 4 is rejected and the null hypothesis is accepted for number 4.

Limitations

Considering that there are low degrees of freedom, the researcher has to assume that the delineations of the hypothesis and the null hypothesis are a good fit. There are more variables presented in the regression model than there are degrees of freedom. In the first hypothesis, there are only two degrees of freedom. In the second hypothesis, there are only two degrees of freedom. In the third hypothesis, there are four degrees of freedom. Although four degrees of freedom continues to be a minimal number of observations, it is much better than one or two. Finally, in hypothesis # 4, there are two degrees of freedom. The peril in having too few degrees of freedom in order to confirm hypotheses is the potential for generalization.

Conclusion

In the Framingham Heart Study a correlation had been proven between systolic blood pressure and weight. In the second hypothesis, the correlation has been confirmed between cholesterol levels and weight. As a result, the hypothesis in # 1 and # 2 had been confirmed. In the third hypothesis, the hypothesis stated that there had been no relation between the cholesterol levels and the blood pressure levels. The third hypothesis was disproven and the null hypothesis had been accepted for # 3. In hypothesis # 4, it had been inferred that there was no relationship between systolic blood pressure and gender. The hypothesis number 4 had been disproven. As a result, the null hypothesis was accepted for # 4.