Diabetes analysis

7/30/2019 Diabetes analysis

1/23

Statistical Analysis of Diabetes in New

Caroline Jimenez Viana

Pascual Aguasvivas

Juanita Vargas

7/30/2019 Diabetes analysis

2/23

Presentation Outline

1.Introduction2.Variables with data analysis

1.Age / Gender2.Gestational Diabetes 3.Cause of Death

3.Summary4.References

7/30/2019 Diabetes analysis

3/23

Motivation:Explore the rates of people affected by diabetes in NewJersey Objectives : The number of people being affected byDiabetes is increasing. There is no specific reason whysomeone may develop diabetes. This investigation

demonstrates some factors which account for the growingnumber of people with Diabetes in the state of New Jersey.The purpose of this investigation is to raise awareness andencourage healthy life styles

7/30/2019 Diabetes analysis

4/23

Diabetes

What is Diabetes? Is a disease that affects how the body uses glucose. The glucose level in the

blood rises after a meal and triggers the pancreas to make the hormoneinsulin and release it into the bloodstream.

Types of Diabetes Type 1: is a form of diabetes mellitus that results

from autoimmune destruction of insulin-producing beta cells of the pancre Type 2 :is a metabolic disorder that is characterized by high blood glucose i

the context of insulin resistance and relative insulin deficiency. Gestational Diabetes : is a condition in which women without previously

diagnosed diabetes exhibit high blood glucose levels during pregnancy

7/30/2019 Diabetes analysis

5/23

7/30/2019 Diabetes analysis

6/23

Gestational Diabetes

7/30/2019 Diabetes analysis

7/23

Binomial Distribution Probability of baby affected Regression

Birthing Mothers withDiabetes as a Medical Risk

Mean 199Median 177STD 144Mode 77

Methods

7/30/2019 Diabetes analysis

8/23

4%

96%

Diabetes No Diabetes

Birthing Mothers Birthing Mothers wit

101,118 4

Birthing Mothers with Diabetes as a Medical Risk

7/30/2019 Diabetes analysis

9/23

Binomial DistributionAs shown in the data from the Utah office of records, the rate of pregnancies withgestational diabetes grow after having a firstchild.

7/30/2019 Diabetes analysis

10/23

Binomial Distribution

Diabetes

Yes

Yes

Yes (0.20)(0.20)(0.20

No (0.20)(0.20)(0.80

NoYes (0.20)(0.80)(0.20

No (0.20)(0.80)(0.80

No

YesYes (0.80)(0.20)(0.20

No (0.80)(0.20)(0.80

NoYes (0.80)(0.80)(0.20

No (0.80)(0.80)(0.80

7/30/2019 Diabetes analysis

11/23

Probability

7/30/2019 Diabetes analysis

12/23

Regression

7/30/2019 Diabetes analysis

13/23

Diabetes Designated as

the Underlying Cause of Death

7/30/2019 Diabetes analysis

14/23

Diabetes Designated as the Underlying Cause of Death by Gender 2002Gender Deaths

Male 1164Female 1368

Total 2532

Diabetes Designated as the Underlying Cause of Death for selected years

Year Deaths NJ Population

2000 2,483 8,414,347

2001 2,556 8,506267

2002 2,532 8,577250

2003 2,470 8,642,416

Total 10,041 -

7/30/2019 Diabetes analysis

15/23

Complications Male Female TotalDiabetes without mention Of Complications

968 1136 2104

Ketoacidosis 25 27 52

Coma 6 12 18

Renal Manifestations 20 24 44

Neurolofical Or Unspecified 3 5 8Circulatory Disorders 132 155 287

Other and Multiple Complications 7 12 19

Total 1161 1371 2532

Diabetes Listed as the Underlying Cause of Deathby Gender and Complications 2002

7/30/2019 Diabetes analysis

16/23

Best Distribution of Data in order to make anappropriate histogram graph

7/30/2019 Diabetes analysis

17/23

0

0.5

1

1.5

2

2.5

3

3.5

20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 3

F r e q u e n c y

Range of Occurance By Rate

Death Rates for diabetes Designated as the Underlying Causeof Death by country of Residence, NJ 2002

7/30/2019 Diabetes analysis

18/23

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

30 60 90 120 150 180 210 240

F r e q u e n c y

Range of Occurance By Number of Deaths

Death Rates for diabetes Designated as the Underlying Cause of Deathby county of Residence, NJ 2002

7/30/2019 Diabetes analysis

19/23

H0 and H1 With the implementation of the county rates, we are able to construct

hypothesis test question. Borrowing elements from Midterm 2, we can learn to either accept or

Null a hypothesis as in the following example.

EX: The Average Rate of having Diabetes as the underlying Death in2002 is calculated to be an average of 27%. A Random sample of 5 rare collected and the average of that sample group is 30.22%. Supposwe Know the Standard deviation to be 4.

7/30/2019 Diabetes analysis

20/23

(a) State hypotheses that should be tested.

(b) Find a 90 percent confidence interval on the mean.

Confidence Interval: (24.05, 29.94)

7/30/2019 Diabetes analysis

21/23

(c) Test the same hypothesis using Za/2 values

Does The Hypothesis Concur?

The Value lands in the rejection region. Therefore 4 can NOT be the STD, and we Reject the Nu

7/30/2019 Diabetes analysis

22/23

Summary

7/30/2019 Diabetes analysis

23/23

References http://www.diabetes.org/diabetes-basics/type-1/ http://www.mayoclinic.com/health/type-1-diabetes/DS00329

http://www.diabetes.org/diabetes-basics/type-2/ http://www.news-medical.net/health/What-is-Type-2-Diabetes.aspx

http://www.livescience.com/23524-gestational-diabetes.html http://www.news-medical.net/health/Gestational-Diabetes-What-is-Gestational-Diabetes.aspx

http://www.ncsl.org/issues-research/health/obesity-statistics-in-the-united-states.aspx http://health.utah.gov/diabetes/pdf/fctsandfig/gestationaldm.pdf