title: Growth Trajectories of Body Mass Index during Childhood: Associated Factors and Health Outcome at Adulthood.
abstract: To identify body mass index (BMI) trajectories from birth to age 10 years and to assess their association with child and parental characteristics and with adult nutritional status and metabolic risk factors.
  
  
  
  Retrospective cohort study with 1188 subjects aged 20-60 years. Childhood growth was assessed using measured weight and height data collected retrospectively from health booklets, which also provided information on gestational age, birth weight, and early nutrition. Height, weight, waist circumference, fasting blood glucose, lipids profile, and blood pressure were measured at adulthood. Participants self-reported parental silhouette based on a 9-figural scale. Group-based modeling was applied to identify BMI trajectories. Associations were assessed using ANOVA and multiple logistic regression.
  
  
  
  Five growth trajectories following or crossing BMI percentiles emerged: stable-25th (15.3% of the sample), stable-50th (35.9%), stable-75th (28.0%), ascending-75th (19.2%), and ascending-obesity (1.6%). Overall, associated factors from early life were mother's corpulence (higher in the ascending-obesity group), gestational age (higher in the stable-50th, stable-75th, and in the ascending-obesity groups), and birth weight (higher in the ascending-obesity group) (all P < .05). Childhood trajectories were associated with adult BMI and waist circumference (higher in the stable-75th and in the ascending groups) (all P < .0001).
  
  
  
  This study shows heterogeneity in patterns of growth trajectories. Specific trajectories were associated with greater BMI and waist circumference during adulthood. Monitoring growth trajectories may improve chronic disease prevention.
authors.affiliation: Paris 13 University, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France.
authors.forename: Sandrine
authors.initials: S
authors.lastname: Péneau
authors.affiliation: Paris 13 University, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France.
authors.forename: Kelly Virecoulon
authors.initials: KV
authors.lastname: Giudici
authors.affiliation: Inter-Regional Institute for Health (IRSA), La Riche, France.
authors.forename: Gaëlle
authors.initials: G
authors.lastname: Gusto
authors.affiliation: Inter-Regional Institute for Health (IRSA), La Riche, France.
authors.forename: Didier
authors.initials: D
authors.lastname: Goxe
authors.affiliation: Inter-Regional Institute for Health (IRSA), La Riche, France.
authors.forename: Olivier
authors.initials: O
authors.lastname: Lantieri
authors.affiliation: Paris 13 University, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France; Nutritional Monitoring and Epidemiology Team (ESEN), Paris 13 University, Sorbonne Paris Cité, Bobigny, France; Nutritional Monitoring and Epidemiology Team (ESEN), Santé Publique France, Bobigny, France; Department of Public Health, Hôpital Avicenne, Bobigny, France.
authors.forename: Serge
authors.initials: S
authors.lastname: Hercberg
authors.affiliation: Paris 13 University, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France.
authors.forename: Marie-Françoise
authors.initials: MF
authors.lastname: Rolland-Cachera
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000209:etiology*; D002648:Child; D002657:Child Development / Q000502:physiology*; D002675:Child, Preschool; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008055:Lipids / Q000097:blood; D008297:Male; D008875:Middle Aged; D009752:Nutritional Status; D012189:Retrospective Studies; D012307:Risk Factors; D015430:Weight Gain; D055815:Young Adult
chemical_list: D001786:Blood Glucose; D008055:Lipids
keywords: developmental growth; group-based trajectory modeling; metabolic syndrome; obesity; retrospective cohort study