Table 1.
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.