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Table 2 Baseline characteristics of the general practitioner study sample

From: Using a brief web-based 5A intervention to improve weight management in primary care: results of a cluster-randomized controlled trial

Variable

Total, n = 50

IG, n = 25

(95% CI)

CG, n = 25

(95% CI)

Gender, n (%)a

 Female

30 (61.2)

13 (52.0)

 

17 (70.8)

 

 Male

19 (38.8)

12 (48.0)

 

7 (29.2)

 

Age (years), M (SD)a

Range: 35 – 79

48.6 (8.8)

48.2 (8.8)

(44.6–51.8)

49.1 (9.0)

(45.3–52.9)

BMIb, M (SD)

Range: 18.1 – 31.8

23.9 (2.9)

23.6 (3.0)

(22.4–24.9)

24.2 (2.8)

(23.0–25.5)

Work experience (years)c, M (SD), Range: 3 – 56

20.6 (9.94)

19.5 (9.4)

(15.5–23.5)

21.7 (10.5)

(17.2–26.1)

FPS (sum score), M (SD)a

3.7 (0.36)

3.8 (0.32)

(3.7–3.9)

3.6 (0.35)

(3.4–3.7)

Do you wish for more training offers on obesity counseling?a

 Agree, n (%)

28 (57.2)

13 (52.0)

 

15 (62.5)

 

 Neither agree nor disagree, n (%)

8 (16.3)

5 (20.0)

 

3 (12.5)

 

 Disagree, n (%)

13 (26.5)

7 (28.0)

 

6 (25.0)

 

GPs self-evaluation of their expertise on obesity counselinga

 Good or very good, n (%)

38 (77.9)

21 (84.0)

 

17 (70.8)

 

 Sufficient, n (%)

10 (20.4)

3 (12.0)

 

7 (29.2)

 

 Insufficient, n (%)

1 (2.0)

1 (4.0)

   
  1. IG Intervention group, CG Control group, n Number of cases, M Mean, SD Standard deviation, % Percent value, CI Confidence Interval, BMI Body-Mass-Index, FPS Fat Phobia Scale, GP General practitioner
  2. aMissing data for n = 1 general practitioner
  3. bMissing data for n = 3 general practitioners
  4. cMissing data for n = 2 general practitioners