10 research outputs found
First-Borns Carry a Higher Metabolic Risk in Early Adulthood: Evidence from a Prospective Cohort Study
Birth order has been associated with early growth variability and subsequent increased adiposity, but the consequent effects of increased fat mass on metabolic risk during adulthood have not been assessed. We aimed to quantify the metabolic risk in young adulthood of being first-born relative to those born second or subsequently.Body composition and metabolic risk were assessed in 2,249 men, aged 17-19 years, from a birth cohort in southern Brazil. Metabolic risk was assessed using a composite z-score integrating standardized measurements of blood pressure, total cholesterol, high density lipoprotein, triglycerides and fat mass. First-borns had lower birth weight z-score (Δ = -0.25, 95%CI -0.35, -0.15,p<0.001) but showed greater weight gain during infancy (change in weight z-score from birth to 20 months: Δ = 0.39, 95%CI 0.28-0.50, p<0.0001) and had greater mean height (Δ = 1.2 cm, 95%CI: 0.7-1.6, p<0.0001) and weight (Δ = 0.34 kg, 95%CI: 0.13-0.55, p<0.002) at 43 months. This greater weight and height tracked into early adulthood, with first-borns being significantly taller, heavier and with significantly higher fat mass than later-borns. The metabolic risk z-score was significantly higher in first-borns.First-born status is associated with significantly elevated adiposity and metabolic risk in young adult men in Brazil. Our results, linking cardiovascular risk with life history variables, suggest that metabolic risk may be associated with the worldwide trend to smaller family size and it may interact with changes in behavioural or environmental risk factors
Antropometria e composição corporal de recém-nascidos pré-termo na idade gestacional e no peso equivalente ao termo
Effects of size at birth, childhood growth patterns and growth hormone treatment on leukocyte telomere length
Carotid Intima-Media Thickness at Age 30, Birth Weight, Accelerated Growth during Infancy and Breastfeeding: A Birth Cohort Study in Southern Brazil
Associations between infant feeding and the size, tempo and velocity of infant weight gain:SITAR analysis of the Gemini twin birth cohort
Objective:Infant growth trajectories, in terms of size, tempo and velocity, may program lifelong obesity risk. Timing of breastfeeding cessation and weaning are both implicated in rapid infant growth; we examined the association of both simultaneously with a range of growth parameters.Design:Longitudinal population-based twin birth cohortSubjects:The Gemini cohort provided data on 4680 UK infants with a median of 10 (IQR 8-15) weight measurements between birth and a median of 6.5 months. Age at breastfeeding cessation and weaning were reported by parents at mean age 8.2 months (s.d. 2.2, range 4-20). Growth trajectories were modelled using SITAR to generate three descriptors of individual growth relative to the average trajectory: size (grams), tempo (weeks, indicating the timing of the peak growth rate), and velocity (% difference from average, reflecting mean growth rate). Complex-samples general linear models adjusting for family clustering and confounders examined associations between infant feeding and SITAR parameters.Results:Longer breastfeeding (> 4 months vs. never) was independently associated with lower growth velocity by 6.8% (s.e.m. 1.3%), and delayed growth tempo by 1.0 (s.e. 0.2 weeks), but not with smaller size. Later weaning ( 6 months vs.<4 months) was independently associated with lower growth velocity by 4.9% (s.e.m. 1.1%) and smaller size by 102 g (s.e.m. 25 g).Conclusions:Infants breastfed for longer grew slower for longer after birth (later peak growth rate) but were no different in size, while infants weaned later grew slower overall and were smaller but the timing of peak growth did not differ. Slower trajectories with a delayed peak in growth may have beneficial implications for programming later obesity risk. Replication in cohorts with longer follow-up, alternative confounding structures or randomised controlled trials are required to confirm the long-term effects and directionality, and to rule out residual confounding.International Journal of Obesity accepted article peview online, 11 April 2014. doi:10.1038/ijo.2014.61