Aim: Development of body mass index (BMI) trajectories is essential for understanding childhood overweight, a public health concern. This study aimed to identify BMI trajectories from birth to adolescence and examine associated factors in the Pollution and Asthma Risk: an Infant Study (PARIS) birth cohort.
Methods: Data on height, weight, birth parameters, lifestyle, parental weight status and stress were collected via questionnaires and health check-ups. BMI z-score (BMIz) trajectories were developed using group-based trajectory modelling on anthropometric data collected at least six times. Associated factors were investigated in multivariable multinomial logistic regression models, adjusted for confounders.
Results: Five BMIz trajectories were identified in 540 adolescents. The early high stable BMI trajectory grouped participants who reached overweight status in early childhood. Four trajectories remained within the normal weight status: low stable BMI, continuous decrease BMI, continuous increase BMI, and early increase and slight decrease BMI trajectories. Compared with low stable BMI, high BMI trajectories were associated with higher parental weight status, early rebound age, excessive TV watching, lower food avoidance score, stressful events in early life and parent-child relationship stress.
Conclusion: High BMI trajectories shared several modifiable factors, emphasising the need for multifactorial interventions to tackle the childhood overweight epidemic.
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http://dx.doi.org/10.1111/apa.17570 | DOI Listing |
Acta Paediatr
January 2025
Université Paris Cité, Sorbonne Paris-Nord, INRAe, INSERM, UMR 1153-CRESS, HERA Team, Paris, France.
Aim: Development of body mass index (BMI) trajectories is essential for understanding childhood overweight, a public health concern. This study aimed to identify BMI trajectories from birth to adolescence and examine associated factors in the Pollution and Asthma Risk: an Infant Study (PARIS) birth cohort.
Methods: Data on height, weight, birth parameters, lifestyle, parental weight status and stress were collected via questionnaires and health check-ups.
JAMA Netw Open
January 2025
Center for Molecular Prediction of Inflammatory Bowel Disease, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.
Importance: Poor nutrition and growth in childhood have short-term and long-term consequences, so understanding the timing of the onset of an impaired nutritional status is crucial for diagnosing and treating inflammatory bowel disease (IBD) at its earliest stage.
Objective: To assess anthropometric trajectories before a pediatric diagnosis of IBD and growth recovery after diagnosis.
Design, Setting, And Participants: This population-based cohort study included children born in Denmark from January 1, 1997, through December 31, 2015, with weight and length or height measurements at birth and at least 1 length or height and weight measurement at school age based on the Danish Medical Birth Register and the Danish National Child Health Register.
Int J Obes (Lond)
January 2025
Research Unit of Population Health, University of Oulu, Oulu, Finland.
Background/objectives: Children's biological age does not always correspond to their chronological age. In the case of BMI trajectories, this can appear as phase variation, which can be seen as shift, stretch, or shrinking between trajectories. With maturation thought of as a process moving towards the final state - adult BMI, we assessed whether children can be divided into latent groups reflecting similar maturational age of BMI.
View Article and Find Full Text PDFMol Nutr Food Res
January 2025
Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China.
We aimed to explore the association between plant-based dietary (PBD) patterns and obesity trajectories in middle-aged and elderly, as well as obesity trajectories linked to cardiovascular disease (CVD) risk. A total of 7108 middle-aged and elderly UK Biobank participants with at least three physical measurements were included. Dietary information collected at enrolment was used to calculate the healthful plant-based diet index (hPDI).
View Article and Find Full Text PDFNat Ment Health
January 2025
Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Unhealthy eating, a risk factor for eating disorders (EDs) and obesity, often coexists with emotional and behavioral problems; however, the underlying neurobiological mechanisms are poorly understood. Analyzing data from the longitudinal IMAGEN adolescent cohort, we investigated associations between eating behaviors, genetic predispositions for high body mass index (BMI) using polygenic scores (PGSs), and trajectories (ages 14-23 years) of ED-related psychopathology and brain maturation. Clustering analyses at age 23 years ( = 996) identified 3 eating groups: restrictive, emotional/uncontrolled and healthy eaters.
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