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Table 2 GPs’ prevention practices according to the gender of patient and GP (N = 2599)

From: Physicians’ preventive practices: more frequently performed for male patients and by female physicians

 Gender differences: PatientsGender differences: GPsInter-GP variances
Male patients
(N = 1259)
n (%)
Female patients
(N = 1340)
n (%)
OR [95% CI]a
(ref: female)
PMale GPs
(N = 1626)
n (%)
Female GPs
(N = 973)
n (%)
OR [95% CI]a (ref: male)PVariance between
male
GPs
Variance between female GPsP
Weight management
 Weight measurement876 (69.6)891 (66.5)1.26 [1.10–1.45]0.0011097 (67.5)670 (68.9)1.12 [0.47–2.63]0.781.122.000.11
 Waist circumference measurement540 (42.9)510 (38.1)1.34 [1.08–1.66]0.008704 (43.3)346 (35.6)1.17 [0.43–3.18]0.751.992.140.90
Substance use
 Smoking status documented733 (58.2)610 (45.5)1.99 [1,65-2,40]< 10−4781 (48.0)562 (57.8)2.06 [1.11–3.84]0.021.130.530.33
 Alcohol use status documented397 (31.5)243 (18.1)2.68 [2,15-3,35]< 10−4355 (21.8)285 (29.3)1.71 [0.76–3.86]0.210.631.970.055
Lifestyle recommendations
 Received diet adviceb480 (38.1)377 (28.1)1.67 [1.37–2.03]< 10−4358 (36.8)499 (30.7)1.15 [0.70–1.91]0.580.870.220.03
 Received physical activity adviceb323 (24.1)434 (34.5)1.80 [1,46–2.22]< 10−4310 (31.9)447 (27.5)1.13 [0.56–2.30]0.721.900.470.015
Cardiovascular risk
 Fasting blood glucose measurementc858 (68.2)848 (63.3)1.47 [1.20–1.80]2.10−41045 (64.3)661 (67.9)1.61 [1.05–2.45]0.030.830.0010−4
 Cholesterol measurementc774 (61.5)705 (52.6)1.66 [1.36–2.01]<  10−4925 (56.9)554 (56.9)1.52 [1.01–2.28]0.0450.710.0020.002
Gynecological cancer screening
 Cervical smear date documented169 (10.4)167 (17.2)2.94 [1.44–5.93]0.0041.450.380.07
 Mammography date documented300 (18.5)221 (22.7)2.14 [1.25–3.69]0.0070.470.350.75
  1. a Odds ratios adjusted for patient variables (age, body mass index, number of consultations annually, duration of GP-patient relationship in years, and educational level) and for GP variables (age, office location, mean duration of consultations in minutes, and mean number of consultations weekly), followed by their 95% confidence intervals
  2. b within the previous three years
  3. c within the previous five years
  4. Reading the table: each line corresponds to the results of the analysis of the variable of interest in the first column. Columns 2 to 5 (patients’ gender differences) present the differences according to patient gender (columns 2 and 3 combine all GP genders); Columns 6 to 9 (GPs’ gender differences) present the differences according to GP gender (columns 6 and 7 combine all patient genders); and finally, the last 3 columns (inter-GP variance), present the differences in inter-physician variance between men and women GPs