Short-Term Predictors for Weight Correction Success of the First Paediatric Weight Correction Programme in Children's Clinical University Hospital in Riga.

Background and objectives: The efficacy of a weight correction programme can be affected by such predictors as the number of contact hours, gender, age, baseline weight, parental weight status, psycho-emotional status, insulin resistance, and socioeconomic status. The aim of this current study was to evaluate the overall efficacy of the Weight Correction Programme at Children's Clinical University Hospital, and explore the impact of the probable predictors. We evaluated the efficacy depending on gender, age, parental weight status, signs of depression, baseline body mass index z-score (z-BMI), and baseline waist circumference. Materials and Methods: The data were gathered from medical records. The inclusion criteria were as follows: Entered the programme by 13 June 2017, at least five years old, follow-up data available. All the respondents were divided into two age groups: <10 years old and >= 10 years old. Results: The study included 181 respondents. They were 5 to 17 years old on the first day of participation in the Weight Correction Programme. Results indicated that 117 (65%) patients managed to reduce z-BMI and 69 (38%) patients achieved clinically significant reduction of z-BMI. Boys had four times higher odds (odds ratio (OR) = 4,22; CI 1.37-13.05; p = 0.012) to reduce their z-BMI by at least 0.20 units than girls. The respondents of the older age group (>= 10 years) had a better chance to reduce z-BMI than the younger ones (OR = 11,51; CI 2.04-64.83; p = 0.006). The odds to reduce z-BMI were lower by 7% for every extra cm of waist circumference (OR = 0.93; CI 0.88-0.99; p = 0.014) for reducing z-BMI. The follow-up time was also a positive predictor, and with every month the odds for clinically significant z-BMI reduction increased by 7% (OR = 1.07; CI 1.00-1.15; p = 0.047). The parental weight status, signs of depression, and baseline z-BMI were not significant predictors. Conclusions: More than half of the patients of the respondents managed to reduce their z-BMI. Female gender, younger age, and larger waist circumference were negative predictors.