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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: 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

  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