TY - JOUR
T1 - Predicting success: factors associated with weight change in obese youth undertaking a weight management program
AU - Baxter, Kimberley A
AU - Ware, Robert S
AU - Batch, Jennifer
AU - Truby, Helen
PY - 2013
Y1 - 2013
N2 - Objective: To explore which baseline physiological and psychosocial variables predict change in body mass index (BMI) z-score in obese youth after 12 weeks of a dietary weight management study. Methods: Participants were obese young people participating in a dietary intervention trial in Brisbane Australia. The outcome variable was change in BMI z-score. Potential predictors considered included demographic, physiological and psychosocial parameters of the young person, and demographic characteristics of their parents. A multivariable regression model was constructed to examine the effect of potential predictive variables. Results: Participants (n = 88) were predominantly female (69.3 ), and had a mean(standard deviation) age of 13.1(1.9) years and BMI z-score of 2.2(0.4) on presentation. Lower BMI z-score (p <0.001) and insulin resistance (p = 0.04) at baseline, referral from a paediatrician (p = 0.02) and being more socially advantaged (p = 0.046) were significantly associated with weight loss. Macronutrient distribution of diet and physical activity level did not contribute. Conclusions: Early intervention in obesity treatment in young people improves likelihood of success. Other factors such as degree of insulin resistance, social advantage and referral source also appear to play a role. Assessing presenting characteristics and factors associated with treatment outcome may allow practicing clinicians to individualise a weight management program or determine the best-fit treatment for an obese adolescent.
AB - Objective: To explore which baseline physiological and psychosocial variables predict change in body mass index (BMI) z-score in obese youth after 12 weeks of a dietary weight management study. Methods: Participants were obese young people participating in a dietary intervention trial in Brisbane Australia. The outcome variable was change in BMI z-score. Potential predictors considered included demographic, physiological and psychosocial parameters of the young person, and demographic characteristics of their parents. A multivariable regression model was constructed to examine the effect of potential predictive variables. Results: Participants (n = 88) were predominantly female (69.3 ), and had a mean(standard deviation) age of 13.1(1.9) years and BMI z-score of 2.2(0.4) on presentation. Lower BMI z-score (p <0.001) and insulin resistance (p = 0.04) at baseline, referral from a paediatrician (p = 0.02) and being more socially advantaged (p = 0.046) were significantly associated with weight loss. Macronutrient distribution of diet and physical activity level did not contribute. Conclusions: Early intervention in obesity treatment in young people improves likelihood of success. Other factors such as degree of insulin resistance, social advantage and referral source also appear to play a role. Assessing presenting characteristics and factors associated with treatment outcome may allow practicing clinicians to individualise a weight management program or determine the best-fit treatment for an obese adolescent.
UR - http://www.ncbi.nlm.nih.gov/pubmed/24331776
U2 - 10.1016/j.orcp.2011.09.004
DO - 10.1016/j.orcp.2011.09.004
M3 - Article
SN - 1871-403X
VL - 7
SP - 147
EP - 154
JO - Obesity Research and Clinical Practice
JF - Obesity Research and Clinical Practice
IS - 2
ER -