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. Author manuscript; available in PMC: 2015 Aug 1.
Published in final edited form as: J Prim Care Community Health. 2015 Feb 4;6(3):170–176. doi: 10.1177/2150131915568997

Table 3.

Prevalence and odd ratios of making all 6 healthy behavior1 recommendations, among respondents to the DocStyles 2012 survey, by primary care provider characteristics

PCP characteristic Prevalence, % p value OR (95% CI)3 p value
Age, y
 <45 53.6 0.0926 1.00
 ≥45 58.3 1.23 (0.97–1.56) 0.084

Gender
 Male 56.1 0.999 1.12 (0.86–1.46) 0.398
 Female 56.1 1.00

Race/ethnicity
 Non-Hispanic white 55.3 0.590 0.85 (0.48–1.52) 0.583
 Non-Hispanic black 65.1 1.64 (0.70–3.83) 0.257
 Non-Hispanic other 57.6 1.12 (0.60–2.08) 0.724
 Hispanics 56.6 1.00

Specialty
 Family physician 59.0 0.054 0.99 (0.70–1.39) 0.935
 Internist 51.7 0.70 (0.49–1.02) 0.060
 Nurse practitioner 57.9 1.00

Body mass index, kg/m 2
 Normal (<25.0) 54.8 0.664
 Overweight (25–29.9) 57.2
 Obese (≥30.0) 57.6

5 cups fruits or vegetables, days/week
 0 43.7 0.006 1.00
 1–4 55.8 1.59 (1.06–2.38) 0.024
 5–7 59.5 1.68 (1.11–2.56) 0.015

Smoking, days/week
 0 56.6 0.077 1.68 (0.97–2.92) 0.064
 ≥1 46.5 1.00

30 minutes physical activity, days/week
 0 48.6 <0.001 1.00
 1–4 53.4 1.13 (0.74–1.73) 0.571
 5–7 64.9 1.68 (1.05–2.67) 0.030

Years in practice medicine
 <5 61.2 0.590
 5–10 55.6
 11–20 57.5
 >20 53.8

Main practice setting
 Individual practice 59.6 0.341
 Group practice 55.9
 Hospital or clinic 51.3

Privileges at teaching hospital
 Yes 55.8 0.847
 No 56.3

Financial situation of majority of patients2
 Poor to lower middle class 55.1 0.288
 Middle class 53.9
 Upper middle class to affluent 58.7

Abbreviations: PCP, primary care provider; OR, odds ratio; PCP, primary care provider.

1

Eating a healthy diet, reducing salt intake, maintaining healthy weight, limiting alcohol use, being physically active, smoking cessation.

2

By PCP report.

3

Variables did not included in the model (e.g., body mass index, years in practice medicine, main practice setting, privileges at teaching hospital, financial situation of majority of patients) due to their p-value > 0.2 in univariate analysis.