Research question is discrimination lifetime everyday


Research question: Is discrimination (lifetime everyday) associated with hypertension/blood pressure among African American men and women in the Jackson Heart Study?

Introduction to Biostatistics & Computer Applications

Label Information for formatting variables for Data Analysis Project (Jackson Heart Study)

  • Gender variables: sex (already coded); male indicator (0 = Female; 1 = Male)
  • Education variables: edu3cat [0 = ≤High School Diploma; 1 = Some College (Associate's or vocational/technical training); 2 = Bachelor's degree and above.
  • Income variables: fmlyinc (see values below) ; Income (1 = Low; 2 = Lower Middle; 3 = Upper Middle; and 4 = Affluent)

Suppose you needed money quickly and you cashed in all of your (and your spouse's/ partner's) checking and savings accounts, cars, jewelry, or other possessions and any stocks, bonds, or real estate (other than your principal home). If you added up what you get, about how much would it amount to? Just give me your best estimate from the list.

[HAND RC #4]   

$0 - 499                     A

$500 - 999                  B

$1,000 - 4,999             C

$5,000 - 9,999             D

$10,000 - 19,999          E

$20,000 - 49,999          F

$50,000 - 99,999          G

$100,000 - 199,999       H

$200,000 or more          I

Don't know                    J

Refused                        K

  • Alcohol variables: alc [alcohol drinking in the past year (Y/N): 0 = No; 1 = Yes]; alcw = the average number of drinks per week over the past 12 months.
  • Smoking variables: smk3cat (0 = Never smoker; 1 = Former smoker; 2 = Current smoker); currentsmoker (0 = No; 1 = Yes); eversmoker (0 = No; 1 = Yes).
  • Physical activity variables: pa3cat (0 = Poor; 1 = Intermediate; 2 = Ideal); sportindex; hyIndex; activeindex (the latter three variables are continuous measures)
  • Diet variables: IdealHealthNutrition (0 = Poor, 1 = Ideal); darkgrnveg; eggs; non-fried fish (the latter three variables are continuous measures and are servings per day)
  • Status variables. For example, medication status, stroke status, coronary heart disease, diabetes status, hypertension status, etc, are Y/N variables. So, 0 = No; 1 = Yes.

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Dissertation: Research question is discrimination lifetime everyday
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