19 May Perform original analyses of Heart dataset variables Students should either select one row of pre-approved variables or use the Heart CS
perform original analyses of Heart dataset variables*. Students should either select one row of pre-approved variables or use the Heart CSV Codebook to create a proposal for your instructor to review
|
Week Three: Discussion Board. Original Analyses – Variable Selections . Original Analyses – Variable Selections In Week 4 students will perform original analyses of Heart dataset variables*. Students should either select one row of pre-approved variables or use the Heart CSV Codebook to create a proposal for your instructor to review. · Heart Pre-Approved Variables (see attachment) · Heart CSV Codebook (see attachment) * Instructor Approval Required Prior to Analyses to Ensure Students Have Unique Variable Results. NOTE: Student that select a row with a restriction will need to add a where statement to their code on all data lines. EXAMPLE: proc logistic data=SASHELP.HEART (where= ((SEX) in ('Female'))); model status (event='dead') = weight; run; |
,
Essentials of Biostatistics in Public Health, Third Edition
Lisa M. Sullivan
Integrative Exercises (Edited for COH 602 Biostatistics)
Copyright © 2018 by Jones & Bartlett Learning, LLC, an Ascend Learning Company 1
The Framingham Heart Study—Integrative Exercises with Solutions
Background
The National Heart, Lung, and Blood Institute (NHLBI)1 created a teaching dataset that
includes real but anonymized data collected as part of the Framingham Heart Study. The Framingham
Heart Study is one of the most influential and longest running epidemiological studies of risk factors
for cardiovascular disease ever run. The study started in 1948 and continues today to collect extensive
data from original participants, their children, and their children’s children. Much of what we know
about cardiovascular disease was discovered by investigators involved in the Framingham Heart Study.
In fact, studies to date using data collected in the Framingham Heart study have resulted in over 3000
publications in high impact, peer-reviewed medical journals.
The Framingham Heart Study has been widely discussed in the media. WGBH in Boston
produced a video documentary for PBS entitled “The Hidden Epidemic: Heart Disease in America”
that details the history of heart disease in this country and highlights the Framingham Heart Study.2 In
2007, CBS News did a story on the study, its participants, and its impact.3 Additionally, research
results from the Framingham Heart Study are communicated widely, most recently highlighting the
discovery of a gene that may promote obesity4 and new data showing declining rates of dementia.5
Interested readers can visit the Framingham Heart Study website for a detailed history of this
incredible study and its many contributions to preventive medicine.6
1 http://www.nhlbi.nih.gov/ 2 http://www.pbs.org/wgbh/takeonestep/heart/ 3 http://www.cbsnews.com/videos/landmark-heart-study/ 4 http://www.cbsnews.com/news/how-a-fat-gene-may-influence-your-weight/ 5 http://www.cbsnews.com/news/dementia-alzheimers-risk-signs-of-hope-study/ 6 https://www.framinghamheartstudy.org/about-fhs/history.php/
Essentials of Biostatistics in Public Health, Third Edition
Lisa M. Sullivan
Integrative Exercises (Edited for COH 602 Biostatistics)
Copyright © 2018 by Jones & Bartlett Learning, LLC, an Ascend Learning Company 2
Dataset for Analyses
NHLBI created a longitudinal teaching dataset includes clinical, laboratory, and outcome data
on n = 4434 participants. Each participant has between one and three observations—which represent
examinations held approximately 6 years apart. A detailed description of the Framingham Heart Study
dataset and other public use datasets available from NHLBI are available on the NHLBI Biologic
Specimen and Data Repository Information Coordinating Center (BioLINCC) website.
The dataset available for analysis includes only data collected at the first examination for each
participant (n = 4434). The dataset is available as comma separated values (.csv) file.
Variables
The following variables are available in each dataset for analysis (extracted from the complete
documentation file, available on the NHLBI BioLINCC website 7).
Variable Name Description Coding Details/Range
RANDID Unique identification number for each participant 2248-9999312
SEX Participant sex 1 = Male, 2 = Female
PERIOD Exam cycle 1, 2, 3
TIME Number of days since first (baseline) exam 0–4854
AGE Age at exam, years 32–81
SYSBP Systolic blood pressure, mmHg 83–295
DIABP Diastolic blood pressure, mmHg 30–150
BPMEDS Use of anti-hypertensive medication 0 = No, 1 = Yes
CURSMOKE Currently smoking cigarettes 0 = No, 1 = Yes
CIGPDAY Number of cigarettes smoked per day 0 (non-smoker)–90
TOTCHOL Total serum cholesterol, mg/dL 107–696
HDLC* High density lipoprotein cholesterol, mg/dL 10–189
LDLC* Low density lipoprotein cholesterol, mg/dL 20–565
BMI Body mass index = weight (kg)/height (m)2 14–57
GLUCOSE Serum glucose, mg/dL 39–478
DIABETES Diabetes (glucose > 200 mg/dL or on treatment) 0 = No, 1 = Yes
HEARTRTE Heart rate, beats/minute 37–220
PREVAP Prevalent angina pectoris 0 = No, 1 = Yes
PREVCHD Prevalent coronary heart disease (CHD) 0 = No, 1 = Yes
PREVMI Prevalent myocardial infarction (MI) 0 = No, 1 = Yes
7 https://biolincc.nhlbi.nih.gov/static/studies/teaching/framdoc.pdf?link_time=2016-07-06_14:21:55.514359
Essentials of Biostatistics in Public Health, Third Edition
Lisa M. Sullivan
Integrative Exercises (Edited for COH 602 Biostatistics)
Copyright © 2018 by Jones & Bartlett Learning, LLC, an Ascend Learning Company 3
PREVSTRK Prevalent stroke 0 = No, 1 = Yes
PREVHYP Prevalent hypertension 0 = No, 1 = Yes
The following are outcome events coded 1 if the event occurred during the
follow-up (only the first event is recorded).
ANGINA Angina pectoris 0 = No, 1 = Yes
HOSPMI Hospitalized for MI 0 = No, 1 = Yes
MI_FCHD Hospitalized for MI or fatal CHD 0 = No, 1 = Yes
ANYCHD Any coronary heart disease event 0 = No, 1 = Yes
STROKE Stroke 0 = No, 1 = Yes
CVD Cardiovascular disease 0 = No, 1 = Yes
HYPERTEN Hypertension 0 = No, 1 = Yes
DEATH Death from any cause 0 = No, 1 = Yes
The following are numbers of days from the first (baseline) exam to the first event
during the follow-up. If no event occurred, time is end of follow-up,
death, or last known contact date.
TIMEAP Time from baseline to first angina
TIMEMI Time from baseline to first myocardial infarction
TIMEMIFC Time from baseline to first MI or fatal CHD
TIMECHD Time from baseline to first CHD
TIMESTRK Time from baseline to first stroke
TIMECVD Time from baseline to first cardiovascular disease
TIMEHYP Time from baseline to first hypertension
TIMEDTH Time from baseline to death
*Available only at period = 3 exam, missing otherwise
,
Discussion Board – Original Analyses Variable Selections
In Week 4 students will perform original analyses of Heart dataset variables*.
Students should either select from the list below or use the "Heart CSV Codebook" to create a proposal.
* Instructor Approval of Variables is Required to Ensure Students Have Unique Analyses.
|
Option # |
Student Name |
Variable #1 Dichotomous |
Variable #2 Continuous |
Restriction |
|
Variable: CURSMOKE; Variable Label: Currently smoking cigarettes; Values & Value Labels 0 = No, 1 = Yes |
||||
|
1. |
|
CURSMOKE |
AGE |
N/A |
|
2. |
|
CURSMOKE |
AGE |
Female Only |
|
3. |
|
CURSMOKE |
AGE |
Males Only |
|
4. |
|
CURSMOKE |
BMI |
N/A |
|
5. |
|
CURSMOKE |
BMI |
Female Only |
|
6. |
|
CURSMOKE |
BMI |
Males Only |
|
7. |
|
CURSMOKE |
GLUCOSE |
N/A |
|
8. |
|
CURSMOKE |
GLUCOSE |
Female Only |
|
9. |
|
CURSMOKE |
GLUCOSE |
Males Only |
|
Variable: DIABETES; Variable Label: Diabetes (glucose > 200 mg/dL or on treatment); Values & Value Labels 0 = No, 1 = Yes |
||||
|
10. |
|
DIABETES |
AGE |
N/A |
|
11. |
|
DIABETES |
AGE |
Female Only |
|
12. |
|
DIABETES |
AGE |
Males Only |
|
13. |
|
DIABETES |
BMI |
N/A |
|
14. |
|
DIABETES |
BMI |
Female Only |
|
15. |
|
DIABETES |
BMI |
Males Only |
|
16. |
|
DIABETES |
GLUCOSE |
N/A |
|
17. |
|
DIABETES |
GLUCOSE |
Female Only |
|
18. |
|
DIABETES |
GLUCOSE |
Males Only |
|
19. |
|
DIABETES |
AGE |
N/A |
|
20. |
|
DIABETES |
AGE |
Female Only |
|
21. |
|
DIABETES |
AGE |
Males Only |
|
22. |
|
DIABETES |
CIGPDAY |
N/A |
|
23. |
|
DIABETES |
CIGPDAY |
Female Only |
|
24. |
|
DIABETES |
CIGPDAY |
Males Only |
|
Variable: BPMEDS; Variable Label: Use of anti-hypertensive medication; Values & Value Labels 0 = No, 1 = Yes |
||||
|
25. |
|
BPMEDS |
AGE |
N/A |
|
26. |
|
BPMEDS |
AGE |
Female Only |
|
27. |
|
BPMEDS |
AGE |
Males Only |
|
28. |
|
BPMEDS |
BMI |
N/A |
|
29. |
|
BPMEDS |
BMI |
Female Only |
|
30. |
|
BPMEDS |
BMI |
Males Only |
|
31. |
|
BPMEDS |
GLUCOSE |
N/A |
|
32. |
|
BPMEDS |
GLUCOSE |
Female Only |
|
33. |
|
BPMEDS |
GLUCOSE |
Males Only |
|
34. |
|
BPMEDS |
AGE |
N/A |
|
35. |
|
BPMEDS |
AGE |
Female Only |
|
36. |
|
BPMEDS |
AGE |
Males Only |
|
37. |
|
BPMEDS |
CIGPDAY |
N/A |
|
38. |
|
BPMEDS |
CIGPDAY |
Female Only |
|
39. |
|
BPMEDS |
CIGPDAY |
Males Only |
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