Skip to main content
. Author manuscript; available in PMC: 2011 Sep 1.
Published in final edited form as: J Am Soc Hypertens. 2010 Aug 21;4(5):244–254. doi: 10.1016/j.jash.2010.07.003

Table 1.

Description of the Patients in the Study (N=3,742)

N Weighted
Percent**
95 Confidence
Interval

Patient Characteristics*
Sex
  Male 1,067 29.3 27.3-31.3
  Female 2,675 70.7 68.7-72.7
Age Groups
  21-39 years 628 16.6 14.5-18.7
  40-64 years 2,354 63.0 60.7-65.3
  65 years and over 760 20.4 17.6-23.3
Race Groups
  White 1,436 42.7 34.7-50.8
  Black 2,078 51.7 44.2-59.1
  Other or Unreported 228 5.6 4.0-7.2
Obesity (calculated BMI ≥30 kg/m2)*** 2,250 60.4 58.2-62.5
Diagnosed Comorbidities
  Diabetes 1,435 39.2 37.2-41.2
  Hyperlipidemia 1,622 44.4 41.5-47.3
  Coronary artery disease 347 9.7 8.0-11.4
  Congestive heart failure 200 5.8 4.5-7.0
  COPD or asthma 724 19.8 17.8-21.8
  Stroke or TIA 198 4.9 3.9-5.9
  Peripheral artery disease 64 1.6 1.1-2.2
  Mental illness or substance abuse 1,292 35.1 32.0-38.3
  Sleep apnea 142 4.0 3.0-5.0
  Chronic pain 1,159 30.5 27.1-33.8
Current Tobacco use 1,165 44.3 40.3-48.3
Multiple chronic conditions
  0-1 2,111 55.4 52.7-58.1
  2-3 1,532 41.9 39.3-44.5
  4 or more 99 2.7 2.0-3.4
Length of time with current PCP#
  Less than 1 year 349 8.4 6.8-10.0
  1 - 2 years 1,268 32.4 27.4-37.4
  3 - 4 years 677 19.5 16.6-22.4
  5 or more years 1,332 39.8 34.2-45.4
PCP specialty
  General/Family Practice 1,944 54.9 40.6-69.2
  Internal Medicine 1,391 30.4 17.6-43.3
  Other/Unknown 407 14.7 5.9-23.5

Chronic conditions include: diabetes, CVD (congestive heart failure, coronary artery disease, peripheral arterial disease, stroke, transient ischemic attack), mental illness, chronic pain, chronic obstructive pulmonary disease/asthma.

#

For 116 patients, no first visit date was abstracted. Therefore, care period length with their provider could not be established.

**

Weighted Percent may not add up to 100 due to rounding.

***

Obesity prevalence estimate based on 3,663 patients with weight available. Abstracted height was used to calculate BMI for 2,124 patients. If height was unavailable, gender specific median height of the study population was applied.