Confidence Interval Estimates

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HCM-506-24410-202020 - (CURRENT SEMESTER - الفصل الحالي)HCM-506: APPLIED BIOSTATISTICS IN HEALT 24410-RIYADH- MALES

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Running header: 1 FRAMINGHAM HEART STUDY DATASET 1

FRAMINGHAM HEART STUDY DATASET 3

Applied Biostatistics in Health Framingham Heart Study dataset HCM-506 Masaud

Alyami S199632635 February, 2021

1 FRAMINGHAM HEART STUDY DATASET

INTRODUCTION BODY MASS INDEX (BMI) IS A CHARACTERISTIC THAT

IS CALCULATED FROM THE MASS AND HEIGHT UNITS OF AN

INDIVIDUAL. THE BMI CAN ALSO BE DEFINED AS MASS OF THE BODY

DIVIDED BY ITS SQUARE ROOT HEIGHT AND IS USUALLY EXPRESSED IN

Word Count: ٧٣٩

Attachment ID: 4061286277

FraminghamHeartStudydatase…

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1 Another student's paper

2 Another student's paper

3 Another student's paper

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UNITS OF KG/M2. THROUGH THE BMI RESULTS INDIVIDUALS ARE

CATEGORIZED AS OF NORMAL WEIGHT, NORMAL WEIGHT,

OVERWEIGHT, AND OBESE. With the rapid evolution of lifestyle diseases BMI is an

issue of concern in the current society. 1 THE BMIS LIMITS OF OVER 25 AND

UNDER 20 ARE CHARACTERIZED TO BE UNHEALTHY WHICH LEADS TO

HIGH MORTALITY IN THE CURRENT SOCIETY (MARYCLAIRE, 2020).

Different factors in our lifestyles contribute to the low or high recordings of BMI. There i

a need to understand the factors affecting BMI for us not to be victims of the extreme in

the society. 1 THEREFORE, THIS PAPER WILL CRITICALLY ANALYZE

RELATIONSHIP OF BMI TO PATIENTS’ CHARACTERISTICS ACCORDING

TO FRAMINGHAM HEART STUDY DATASET.

Hypothesis To analyze the dataset effectively the following hypothesis will be tested.

H0: 2 THE BMI IS NOT RELATED TO THE PATIENT CHARACTERISTICS IN

THE FRAMINGHAM HEART STUDY. 3 (NULL HYPOTHESIS) H1: 2 THE

BMI IS RELATED TO THE PATIENT CHARACTERISTICS IN THE

FRAMINGHAM HEART STUDY. (Alternative Hypothesis)

1 RESULTS OF ANOVA MULTIVARIATE ANALYSIS COLUMN1

COEFFICIENTS P-VALUE

INTERCEPT 17.2916618 2.39372E-98

MALE 0.812985908 3.21703E-09

AGE -0.002452255 0.773380806

EDUCATION -0.439252556 3.21113E-13

CURRENTSMOKER -1.270311854 5.88893E-11

CIGSPERDAY 0.009764184 0.244255549

BPMEDS 0.445921597 0.249309362

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PREVALENTSTROKE -2.093615903 0.010727051

PREVALENTHYP 0.829803384 1.58106E-05

DIABETES 0.878390358 0.04649781

TOTCHOL 0.003514526 0.005420187

SYSBP -0.00422398 0.439165117

DIABP 0.104998289 4.20067E-32

HEARTRATE 0.002887996 0.590457538

GLUCOSE 0.001872462 0.382194082

TENYEARCHD -0.344122152 0.058854909

Discussion

1 THE FIRST ASPECT WAS THE GENDER OF THE PATIENTS THAT

RECORDED A P-VALUE OF 3.21703 E-09. COMPARING THE P-VALUE TO

THE REQUIRED STANDARDS IT IS LESS THAN 0.05 THEREBY WE ACCEPT

THE NULL HYPOTHESIS AND REJECT THE NULL HYPOTHESIS.

THEREBY, BMI I NOT RELATED TO THE GENDER CHARACTERISTIC OF

THE PATIENTS.

AGE IS ALSO ATTRIBUTE THAT HAD A P-VALUE OF 0.773380806 WHICH

IS MORE THAN 0.05. FROM THESE RESULTS WE REJECT THE NULL

HYPOTHESIS WAS REJECTED AND ALTERNATE HYPOTHESIS ACCEPTED

THEREBY, THE BMI OF THE PATIENTS IS RELATED TO THEIR AGE.

EDUCATION RECORDED A P-VALUE OF 3.21113E-13 WHICH IS LESS THAN

0.05. FROM THE ANALYSIS OF THE P-VALUE THERE IS NO

RELATIONSHIP OF THE BMI WITH THE EDUCATION OF THE PATIENTS.

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MOREOVER, THE RATE OF SMOKING, STROKE, HYPERTENSION,

DIABETES, CHOLESTEROL, AND TEN YEAR CHILD ARE ATTRIBUTES

THAT HAVE A LOWER P-VALUE AS COMPARED TO 0.05. FROM THE

ABOVE STATISTICS THE ABOVE CHARACTERISTICS DO NOT HAVE A

RELATIONSHIP WITH BMI OF PATIENTS.

HOWEVER, THERE ARE SOME ASPECTS THAT INCLUDE CIGARETTES

PER DAY, BLOOD PRESSURE, SYSTOLIC BLOOD PRESSURE, DIASTOLIC

BLOOD PRESSURE, HEART RATE, GLUCOSE LEVEL, AND TEN YEAR

CHILD ARE ATTRIBUTES THAT HAVE A P-VALUE GREATER THAN 0.05.

THEREBY, PATIENT WITH THESE ATTRIBUTES HAVE A RELATIONSHIP

WITH THEIR BMI.

MULTIVARIATE AND CRUDE IMPLICATIONS ARE NOT RELATED

ACCORDING TO THE DATASET PROVIDED. ONE OF THE CONTRIBUTING

FACTORS TO THE DIFFERENCES IS THE STATISTICAL TOOL THAT WAS

ADOPTED IN THE ANALYSIS. THE TOOL BRINGS OUT THE DIFFERENCE

BETWEEN THE TWO EFFECTS (HEINRICH ET AL., 2016). Additionally, there

are some as that are not related with the BMI and the aspects making the variations to be

evident. 1 THEREFORE, THESE ARE SOME OF THE REASONS THAT ARE

LEADING TO THE VARIATION.

Conclusion In conclusion, it has been noted that not all characteristics are related to the

BMI. The following attributes were found to have a relationship with the BMI: age,

cigarettes per day, blood pressure, heart rate, and glucose levels. However, the aspects

that are not related with BMI are gender, education, smoking, stroke, hypertension, and

cholesterol levels.

References

Heinrich, S., Kowalsky, U., & Dinkler, D. (2016). Multiscale damage analyis for steel

structures. PAMM, 16(1), 133-134. https://doi.org/10.1002/pamm.201610055

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Maryclaire, N. (2020). WHO categories of manual BMI, standard scan BMI, and straight

scan BMI. https://doi.org/10.7717/peerj.8095/table-4