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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