S90 P1-27 The definition of postnatal growth trajectories R.C. Huang1 *, T.A. Mori1 , J.P. Newnham1 , G. Kendall2 , D. Doherty1 , F.J. Stanley2 , L.I. Landau1 , W.H. Oddy2 , L.J. Palmer1 , L.J. Beilin1 . 1 The University of Western Australia (UWA), 2 Telethon Institute for Child Health Research, UWA, Australia E-mail:
[email protected] Aims: To define the best model of postnatal growth trajectories in Australian adolescents. Study design: A prospective longitudinal pregnancy cohort of Australian school children was followed up at birth, 1, 2, 3, 5, 8 and 13 years of age with anthropometry. A semi-parametric, group based method defined the best model of trajectory groups of postnatal weight percentiles to best fit all data from 7 time points. One-way ANOVA was used to define the differences in anthropometry in the groups. Subjects: At 13 years of age 1377 children were followed up. Outcome measures: Anthropometry, fasting lipids, glucose, insulin and blood pressure. Results: The best model of postnatal growth trajectories was defined using semi-parametric group based methods into 5 groups (BIC = 8479.4) (see figure) in order of ascending cardiovascular risk (measured by lipids, insulin resistance, systolic blood pressure and the metabolic syndrome cluster): 1. declining weight, 2. constant low weight, 3. low birthweight to rising weight, 4. constant high weight and 5. moderate birthweight to rising weight. These groups showed significant differences in birthweight, 13 year old weight, BMI, waist circumference and triceps skin fold thickness.
Posters Results: The postnatal growth trajectories were defined using semiparametric group-based methods into groups 1 to 5 according to ascending cardiovascular risk and were statistically different for insulin, HOMA, hsCRP, triglycerides, HDL, systolic blood pressure, pulse pressure and metabolic syndrome cluster. The division into 9 groups showed similar patterns.
Conclusions: This study shows the relative and composite effects of extremes of birthweight, slope of weight gain postnatally and final weight on determining cardiovascular risk, showing that previous findings of the high risk imparted by low and high birthweight, high final weight and postnatal catch up growth hold true in different circumstances and to different extents depending on the entire trajectory. This allows targeted modification of lifestyle from infancy. Altering a child’s trajectory may have a profound effect on final cardiovascular outcome. These findings may also account for variation in findings between contemporary and historical cohorts. P1-29 The definition of antenatal growth trajectories R.C. Huang1 *, T.A. Mori1 , J.P. Newnham1 , G. Kendall2 , D. Doherty1 , F.J. Stanley2 , L.I. Landau1 , W.H. Oddy2 , L.J. Palmer1 , L.J. Beilin1 . 1 The University of Western Australia (UWA), 2 Telethon Institute for Child Health Research, UWA, Australia E-mail:
[email protected]
Postnatal growth trajectories. Conclusions: Postnatal weight gain follows particular trajectories which aid in understanding the relative and composite effects of birthweight, catch up postnatal growth and final weight or adiposity.
Aims: To define the best model of antenatal growth trajectories in Australian fetuses. Study design, Subjects and Outcome measures: A prospective longitudinal pregnancy cohort was followed up at birth, 1, 2, 3, 5, 8 and 13 years of age with anthropometry. The original cohort of these children (n = 2455) had abdominal circumference and femur length measured by ultrasound measurements done at 18 weeks (18 wk) gestational age and a random half at 24, 28, 34 and 38 weeks gestation. A semi-parametric, group based method was used to define the best model of trajectory groups of antenatal abdominal circumference to best fit all data from 5 time points.
P1-28 Postnatal growth trajectories can predict cardiovascular risk in adolescence R.C. Huang1 *, T.A. Mori1 , J.P. Newnham1 , G. Kendall2 , D. Doherty1 , F.J. Stanley2 , L.I. Landau1 , W.H. Oddy2 , L.J. Palmer1 , L.J. Beilin1 . 1 The University of Western Australia (UWA), 2 Telethon Institute for Child Health Research, UWA, Australia E-mail:
[email protected] Aims: Investigation of postnatal growth trajectories on cardiovascular risk for Australian adolescents. Study design: A prospective longitudinal pregnancy cohort was followed up at birth, 1, 2, 3, 5, 8 and 13 years of age with anthropometry. A semi-parametric, group-based method defined the best model of trajectory groups of postnatal weight. Nine groups were defined as they moved between birthweight and weight at 13 yo tertiles. One way ANOVA was used to define the differences in lipids, insulin, blood pressure, hsCRP and metabolic syndrome cluster in these groups defined by the two methods. Subjects: 1343 thirteen year olds. Outcome measures: Anthropometry, fasting biochemistry and blood pressure.
Antenatal abdominal circumference Z score trajectories. Results: The antenatal growth trajectories defined using semiparametric group based methods formed 5 groups (BIC = 8479): 1. low 18wk AC declining abdominal circumference trajectory, 2. moderate 18wk AC declining abdominal circumference trajectory 3. high 18wk AC declining abdominal circumference trajectory,
