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Table 4 Changes in Body Weight and associated variables

From: A novel approach to increasing community capacity for weight management a volunteer-delivered programme (ActWELL) initiated within breast screening clinics: a randomised controlled trial

 

Intervention Group

Comparison group

Between group difference; P value

   

N

Mean (SD)

95% CI

N

Mean (SD)

95% CI

Unadjusted mean (95% CI)

P value

Adjusted for all SAP variables (95% CI)

P value

Changes in anthropometric measures

 Measured body weight (kg)

  Baseline

278

80.9 (13.3)

 

281

81.9 (12.8)

     

  12 months

226

77.8 (12.6)

 

240

80.2 (12.7)

     

  Difference to baseline

225

−2.5 (4.4)

−3.1 to −1.9

240

−1.2 (5.0)

−1.8 to −0.6

−1.59 (−3.17 to − 0.01)

0.048

−1.29 (−2.15 to − 0.43)

0.003

 Self-reported body weight (kg)

  Baseline

267

79.4 (12.9)

 

272

80.4 (12.7)

     

  12 weeks

253

78.0 (12.4)

 

228

79.9 (13.5)

     

  Difference to baseline

245

−1.5 (3.3)

−1.9 to − 1.1

224

−0.7 (3.4)

− 1.2 to − 0.3

    

  12 months

219

76.9 (12.7)

 

224

78.9 (12.7)

     

  Difference to baseline

210

−2.1 (4.8)

−2.8 to −1.5

219

−0.9 (5.5)

−1.6 to − 0.1

−1.37 (− 2.97 to 0.23)

0.092

−1.23 (− 2.20 to − 0.25)

0.014

 Mean waist circumference (cm)

  Baseline

279

98.1 (12.5)

 

281

98.7 (11.7)

     

  12 months

226

95.5 (11.7)

 

239

97.4 (12.0)

     

  Difference to baseline

226

−2.3 (6.0)

−3.1 to −1.5

239

−1.0 (6.6)

−1.8 to −0.2

− 1.20 (− 2.67 to 0.28)

0.110

−1.24 (− 2.38 to − 0.10)

0.033

 BMI (measured)a

  Baseline

279

31.0 (4.7)

 

281

31.3 (4.3)

     

  12 months

226

29.9 (4.6)

 

240

30.6 (4.3)

     

  Difference to baseline

226

−1.0 (1.6)

−1.2 to −0.7

240

−0.5 (1.9)

−0.7 to − 0.2

0.98 (0.97 to 0.10)

0.048

0.98 (0.97 to 0.99)

0.002

 Percent weight loss at 12 monthsb

   ≥ 5% n (%)

279

76 (27.2%)

 

281

46 (16.4%)

 

Odds ratio

2.15 (1.41 to 3.29)

< 0.001

Odds ratio

2.20 (1.41 to 3.43)

< 0.001

  1. alog transformed (data presented as back transformations) b logistic regression allowing for close co-linearity (binary variables)