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Robertson, Wendy; Friede, Tim; Blissett, Jackie; Rudolf, Mary C. J.; Wallis, Maybelle; Stewart-Brown, Sarah L. (2008)
Publisher: BMJ
Languages: English
Types: Article
Subjects: RJ, RA
Objective - To develop and evaluate ‘Families for Health’ - a new community based family intervention for childhood obesity.\ud Design – Programme development, pilot study and evaluation using intention-to-treat analysis.\ud Setting – Coventry, England\ud Participants – 27 overweight or obese children aged 7-13 years (18 girls, 9 boys) and their parents, from 21 families.\ud Intervention – ‘Families for Health’ is a 12 week programme with parallel groups for parents and children, addressing parenting, lifestyle change and social & emotional development.\ud Main Outcome Measures – Primary: change in baseline BMI z-score at end of programme (3 months) and 9 month follow-up. Attendance, drop-out, parents’ perception of programme, child’s quality of life and self esteem, parental mental health, parent-child relationships and lifestyle changes were also measured. Results: Attendance rate was 62%, with 18 of the 27 (67%) children completing the\ud programme. For the 22 children with follow-up data (including 4 drop-outs), BMI z-score was reduced by -0.18 (95%CI -0.30 to -0.05) at end of programme and by -0.21 (-0.35 to -0.07) at 9 months. Statistically significant improvements were observed in children’s quality of life and lifestyle (reduced sedentary behaviour, increased steps and reduced exposure to unhealthy foods), child-parent relationships and parents’ mental health. Fruit and vegetable consumption, participation in moderate/vigorous exercise and children’s self-esteem did not change significantly. Topics on parenting skills, activity\ud and food were rated as helpful and were used with confidence by the majority of parents.\ud Conclusions\ud Families for Health is a promising new childhood obesity intervention. Definitive evaluation of its clinical effectiveness by randomised controlled trial is now required.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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