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. 2020 Apr 20;20:331. doi: 10.1186/s12913-020-05136-2

Table 2.

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

Gender differences: Patients Gender differences: GPs Inter-GP variances
Male patients
(N = 1259)
n (%)
Female patients
(N = 1340)
n (%)
OR [95% CI]a
(ref: female)
P Male GPs
(N = 1626)
n (%)
Female GPs
(N = 973)
n (%)
OR [95% CI]a (ref: male) P Variance between
male
GPs
Variance between female GPs P
Weight management
 Weight measurement 876 (69.6) 891 (66.5) 1.26 [1.10–1.45] 0.001 1097 (67.5) 670 (68.9) 1.12 [0.47–2.63] 0.78 1.12 2.00 0.11
 Waist circumference measurement 540 (42.9) 510 (38.1) 1.34 [1.08–1.66] 0.008 704 (43.3) 346 (35.6) 1.17 [0.43–3.18] 0.75 1.99 2.14 0.90
Substance use
 Smoking status documented 733 (58.2) 610 (45.5) 1.99 [1,65-2,40] < 10−4 781 (48.0) 562 (57.8) 2.06 [1.11–3.84] 0.02 1.13 0.53 0.33
 Alcohol use status documented 397 (31.5) 243 (18.1) 2.68 [2,15-3,35] < 10−4 355 (21.8) 285 (29.3) 1.71 [0.76–3.86] 0.21 0.63 1.97 0.055
Lifestyle recommendations
 Received diet adviceb 480 (38.1) 377 (28.1) 1.67 [1.37–2.03] < 10−4 358 (36.8) 499 (30.7) 1.15 [0.70–1.91] 0.58 0.87 0.22 0.03
 Received physical activity adviceb 323 (24.1) 434 (34.5) 1.80 [1,46–2.22] < 10−4 310 (31.9) 447 (27.5) 1.13 [0.56–2.30] 0.72 1.90 0.47 0.015
Cardiovascular risk
 Fasting blood glucose measurementc 858 (68.2) 848 (63.3) 1.47 [1.20–1.80] 2.10−4 1045 (64.3) 661 (67.9) 1.61 [1.05–2.45] 0.03 0.83 0.00 10−4
 Cholesterol measurementc 774 (61.5) 705 (52.6) 1.66 [1.36–2.01] <  10−4 925 (56.9) 554 (56.9) 1.52 [1.01–2.28] 0.045 0.71 0.002 0.002
Gynecological cancer screening
 Cervical smear date documented 169 (10.4) 167 (17.2) 2.94 [1.44–5.93] 0.004 1.45 0.38 0.07
 Mammography date documented 300 (18.5) 221 (22.7) 2.14 [1.25–3.69] 0.007 0.47 0.35 0.75

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

b within the previous three years

c within the previous five years

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