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Your SAS code needs to be easily readable neat and tidy clearly labeled, and included as an Appendix.

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Your SAS code needs to be easily readable (neat and tidy), clearly labeled, and included as an Appendix. 

Background

The Jackson Heart Study (JHS), which initiated in 1998, is a single-site, prospective, epidemiologic investigation of cardiovascular disease among African Americans. The JHS is funded by the National Heart, Lung and Blood Institute (NHLBI) and the National Institute on Minority Health and Health Disparities (NIMHD). It is a population-based longitudinal study. The JHS recruited 5306 African American residents living in the Jackson, Mississippi, metropolitan area of Hinds, Madison, and Rankin Counties. Participants were enrolled from four recruitment pools: random, 17%; volunteer, 30%; currently enrolled in the Atherosclerosis Risk in Communities Study (ARIC), 31% and secondary family members, 22%. Recruitment was limited to non-institutionalized adult African American men and women, 35-84 years old, except in a nested family cohort where those 21 to 34 years of age were also eligible. The final cohort of participants enrolled during the baseline exam included 6.6% of all African American men and women residents of the Jackson Mississippi Metropolitan Statistical Area aged 35-84 (N=76,426, US Census 2000). Because there is a greater prevalence of cardiovascular disease among African Americans compared to other ethnic groups, the purpose of the Jackson Heart Study is to explore the reasons for this disparity and to uncover new approaches to reduce it. (1)

 The JHS TRANS-Data Package consists of a de-identified build of JHS data that has been modified by steps such as: creating a set of anonymized IDs, including a ~50% random sample of participants consenting to all study data usage, truncating low frequency classifications for categorical variables (<5), and setting all dates to the 15th day of the month. The JHS TRANS-Data Package is intended to be TRANSformative for research and research education. (2)

 Life's Simple 7 is defined by the American Heart Association as the 7 risk factors that people can improve through lifestyle changes to help achieve ideal cardiovascular health. (3)  These include managing blood pressure, controlling cholesterol, reducing blood sugar, being active, eating better, losing weight and stopping smoking.  There are multiple ways of evaluating these 7 risk factors.  One is awarding an individual one point for each category for which they have “ideal health” resulting in a score that would range from 0 to 7.  While numerous studies have examined Life’s Simple 7 in terms of cardiovascular disease (see (4) for a meta analysis) there is also interest in how 6 (“Simple 6”) of these factors relate to diabetes.  (For studies of diabetes blood sugar is not included as it is a clinical measure used in the diagnosis of diabetes.) The relationship between the Simple 6 and incident diabetes has been examined in the Jackson Heart Study (5) longitudinal data.  In this project the main focus will be on the association between the Simple 6 and diabetes status at baseline (visit 1). 

 The current project will use a subset of the JHS TRANS-Data package.  The aims of the project are:

1. To determine the prevalence of diabetes among JHS participants included in the TRANS-Data package at baseline (visit 1).

2. To examine the association between various potential risk factors at baseline (including the Simple 6) and diabetes among JHS participants included in the TRANS-Data package. Please treat Simple 6 as a continuous variable in this analysis.

3. Finally to look at longitudinal data for fasting plasma glucose, which is one of the clinical factors used in determining diabetes status.

  A description of the variables in the dataset “jhst_proj1.sas7bdat” can be found on pages 3-4.  Any missing data is denoted by a period (.) for numeric variables and by a blank space (“  ”) for character variables unless otherwise specified in the data descriptionDetails

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