Hypertension Pediatrics



Hypertension Pediatrics

Introduction

The term high blood pressure (hypertension) implies a satisfactory definition of blood pressure (BP) normal. In pediatrics only recently been established techniques for registration of the PA and have made tables linking BP with age, gender, height and weight. The relationship between hypertension and adult child is not well defined; currently given much importance to breeding values. The hereditary relationship was highlighted earlier this century.

Method

In order to analyze the study relating to the hypertension in pediatrics, an experiment was conducted to measure the taste of salt responsiveness and relating it with the level of blood pressure responsiveness. The MSB has been noted, giving drops of various solutions to the 3 day old child at consecutive time intervals.

Results and Discussion

Descriptive statistics is a big part of the statistic that is dedicated to analyze and represent data. This analysis is very basic. Although there is a tendency to generalize the entire population, the first conclusions reached after a descriptive analysis is a study by calculating a series of measures of central tendency, to see to what extent the data is grouped or scattered around a value central. The table below shows the descriptive statistics for the data set obtained from the case scenario, different measures of descriptive statistics like mean, standard deviation, and range are given in the table. It can be observed that the average of minimum blood pressure (diastolic) of the infants that have been used in the sample is 43.323 which is much lower than the standard diastolic value i.e. around 60, and mean value observed for the systolic blood pressure (i.e. 70.843) is also lesser than the 90 which is the standard for systolic blood pressure (Tukey, J, 2000).

The data set shows that the minimum value observed for the different of salt in taking is 0, whereas, the maximum value ranges from 31 to 40, that is the main reason for non normality of the data and a large standard deviation.

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

Mn_sbp

100

52.00

99.99

70.8432

9.07772

Mn_dbp

100

28.00

99.99

43.3234

9.21835

MSB1slt

100

.00

40.00

10.9068

9.36418

MSB2slt

100

.00

37.00

12.2339

9.24627

MSB3slt

100

.00

37.00

8.8913

7.91369

MSB4slt

100

.00

38.00

8.7248

9.00352

MSB5slt

100

.00

36.00

9.6457

8.99207

MSB6slt

100

.00

31.00

9.2623

7.86619

MSB7slt

100

.00

31.00

7.4860

7.54629

MSB8slt

100

.00

34.00

5.9399

7.31764

MSB9slt

100

.00

37.00

8.9760

8.88874

MSB10slt

100

.00

35.00

8.7521

8.78664

Valid N (listwise)

100

It has been given in the experiment that the content of the solution taken for the purpose of this study has been change for 10 consecutive periods, the observed mean value for different periods are 30.7068, 32.0339, 28.6913, 28.5248, 29.4457, 29.0623, 27.2860, 25.7399, 28.7760 and 28.5521 respectively. The normal distribution also appears in many areas of their own statistics. For example, the sampling distribution of the average sample is approximately normal, when the distribution of the population from which the sample is drawn is not normal (Tufte, E. R, 2001).

In addition, the normal distribution maximizes the entropy among all distributions with mean and variance known, which makes it the natural choice of the underlying distribution to a list of summary data in terms of sample mean and variance. The salt tastes indices obtain are not normally distributed as they do not show the original picture of the data set. The normal distribution is the most widespread in statistics and many statistical tests are based on an assumed ...