Pre-Birth and Early-Life Factors Associated With the Timing of Adiposity Peak and Rebound: A Large Population-Based Longitudinal Study

Background: The late occurrence of adiposity peak (AP) and the early occurrence of adiposity rebound (AR) are considered the earliest indicators for obesity and its related health conditions later in life. However, there is still limited information for their upstream factors. Therefore, in this study, we aimed to identify the parental and child factors associated with the timing of AP and AR in the early stage of life.Methods: This is a population-based longitudinal study conducted in Shanghai, China. The BMI data of children born between September 2010 and October 2013 were followed from birth to 80 months. Subject-specific body mass index trajectories were fitted by non-linear mixed-effect models with natural cubic spline functions, and the individual's age at AP and AR was estimated. The generalized linear regression models were applied to identify the upstream factors of late occurrence of AP and early occurrence AR.Results: For 7,292 children with estimated AP, boys were less likely to have a late AP [adjusted risk ratio (RR) = 0.83, 95% confidence interval (CI): 0.77–0.90, p < 0.001], but preterm born children had a higher risk of a late AP (adjusted RR = 1.25, 95% CI: 1.07–1.47, p < 0.01). For 10,985 children with estimated AR, children with breastfeeding longer than 4 months were less likely to have an early AR (adjusted RR = 0.80, 95% CI: 0.73–0.87, p < 0.001), but children who were born to advanced-age mothers and who were born small for gestational age had a higher risk of having an early AR (adjusted RR = 1.21, 95% CI: 1.07–1.36, p < 0.01; adjusted RR = 1.20, 95% CI: 1.04–1.39, p = 0.01).Conclusions: Modifiable pre-birth or early-life factors associated with the timing of AP or AR were found. Our findings may help develop prevention and intervention strategies at the earliest stage of life to control later obesity and the health conditions and diseases linked to it.

Adiposity rebound in very-low-birth-weight infants

Objectives Adiposity rebound (AR) refers to an increase in body mass index (BMI) after a nadir. Early AR, in which AR occurs earlier than five years old, is a risk factor for future obesity and metabolic syndrome, but has not been widely studied in very-low-birth-weight infants (VLBWIs). Methods The subjects were VLBWIs born in Dokkyo Medical University NICU from January 2008 to December 2010. Height and weight measured at birth and at intervals until seven years old were obtained from medical records. The lowest BMI after one year of age was used for the age of AR. The subjects were divided into those with early and normal AR (<5 and ≥5 years old). BMI percentile at age seven years was compared using the interquartile range (IQR). Changes in BMI were evaluated by repeated measures analysis of variance (ANOVA). Results There were 38 early AR cases and 62 normal AR cases, giving a prevalence of early AR similar to that in infants with normal birth weight. BMI percentile at age seven years was significantly higher in early AR cases than in normal AR cases (44.6 [IQR: 21.0–79.2] vs. 14.4 [IQR: 3.8–40.8] kg/m2). Changes in BMI were also significantly higher in early AR cases (p=0.024 by ANOVA). Conclusions Early AR in VLBWIs is a predictor of future obesity.

Trajectory of body mass index and height changes from childhood to adolescence: a nationwide birth cohort in Japan

To investigate the dynamics of body mass index (BMI) and height changes in childhood leading to obesity in adolescents. BMI Z-scores were calculated using the LMS (lambda–mu–sigma) method based on yearly height and weight information (age 1.5–15 years) from a nationwide Japanese birth cohort that started in 2001 (n = 26,711). We delineated the trajectories of BMI and height changes leading to obesity at age 15 years using mixed effect models. Children who became obese at the age of 15 years kept relatively high BMI z-scores through childhood for both genders, and had an increasing trend over time as opposed to the normal weight group, with an increasing slope during puberty. Early adiposity rebound was associated with overweight or obesity at the age of 15 years. Age at peak height velocity (APHV) occurred earlier in the obese/overweight group at age 15 years than in the normal weight group, and occurred later in the underweight group. Obese adolescents experienced early adiposity rebound timing and maintained a serial BMI z-score increase throughout childhood, with a greater slope at puberty. An earlier peak in height gain during puberty may have contributed to the observed patterns of BMI change.

New insights from GWAS on longitudinal and cross-sectional BMI and related phenotypes in admixed children with Native American and European ancestries

Body-mass index (BMI) is a well-known marker of adiposity across all ages. The genetic architecture of BMI has been thoroughly studied among adults. In contrast, there are a few genome-wide association studies (GWAS) on children. Further, GWAS on children have been performed almost exclusively in Europeans at single ages. We aimed to better understand the genetic architecture of BMI trajectory across ages and how BMI is affected by Native American genetic ancestry. We performed cross-sectional and longitudinal GWAS for BMI-related traits on 904 admixed Chilean children with mostly European and Mapuche Native American genetic ancestry. We focused on BMI and two traits that occur at the minimum of the childhood BMI growth trajectory, namely, age at adiposity rebound (Age-AR) and BMI at adiposity rebound (BMI-AR). We found several variants in the immune gene HLA-DQB3 that are strongly associated with BMI at ages 1.5-2.5 years old, but not at other ages. We also identified a variant in the sex-determining gene DMRT1 significantly associated with Age-AR (P = 9.8 × 10−9). Further, BMI was significantly higher in Mapuche than in European children at all ages between 5.5 and 16.5 years old, but not before. Finally, Age-AR was significantly lower (P = 0.013) by 1.64 years in the Mapuche children compared with Europeans.

Association between perinatal factors, genetic susceptibility to obesity and age at adiposity rebound in children of the EDEN mother–child cohort

Background Early adiposity rebound (AR) has been associated with increased risk of overweight or obesity in adulthood. However, little is known about early predictors of age at AR. We aimed to study the role of perinatal factors and genetic susceptibility to obesity in the kinetics of AR. Methods Body mass index (BMI) curves were modelled by using mixed-effects cubic models, and age at AR was estimated for 1415 children of the EDEN mother–child cohort study. A combined obesity risk-allele score was calculated from genotypes for 27 variants identified by genome-wide association studies of adult BMI. Perinatal factors of interest were maternal age at delivery, parental education, parental BMI, gestational weight gain, maternal smoking during pregnancy, and newborn characteristics (sex, prematurity, and birth weight). We used a hierarchical level approach with multivariable linear regression model to investigate the association between these factors, obesity risk-allele score, and age at AR. Results A higher genetic susceptibility to obesity score was associated with an earlier age at AR. At the most distal level of the hierarchical model, maternal and paternal educational levels were positively associated with age at AR. Children born to parents with higher BMI were more likely to exhibit earlier age at AR. In addition, higher gestational weight gain was related to earlier age at AR. For children born small for gestational age, the average age at AR was 88 [±39] days lower than for children born appropriate for gestational age and 91 [±56] days lower than for children born large for gestational age. Conclusion The timing of AR seems to be an early childhood manifestation of the genetic susceptibility to adult obesity. We further identified low birth weight and gestational weight gain as novel predictors of early AR, highlighting the role of the intrauterine environment in the kinetics of adiposity.