Journal article
Body-mass index trajectories from childhood to mid-adulthood and their sociodemographic predictors: Evidence from the International Childhood Cardiovascular Cohort (i3C) Consortium
EClinicalMedicine, Vol.48, pp.101440-101440
06/2022
DOI: 10.1016/j.eclinm.2022.101440
PMCID: PMC9112099
PMID: 35706485
Abstract
Understanding lifecourse trajectories of body-mass index (BMI) is important for identifying groups at high risk of poor health and potential target points for intervention. This study aimed to describe BMI trajectories from childhood to mid-adulthood in four population-based cohorts established in the 1970s and 1980s and to identify childhood sociodemographic factors related to trajectory membership.
Between Dec 17, 1970 and Dec 15, 1994, data were collected at the first visit from 9830 participants from the International Childhood Cardiovascular Cohort (i3C) Consortium, which includes participants from Australia (1985), Finland (1980) and the USA (1970–1994). Participants had at least three measures of height and weight, including one in childhood (6–18 years) and one in adulthood (>18 years), and were aged 30–49 years at last measurement. Latent Class Growth Mixture Modelling was used to identify lifecourse BMI trajectory groups and log multinomial regression models were fit to identify their childhood sociodemographic predictors.
Five consistent BMI trajectory groups were identified amongst the four cohorts: persistently low (35.9–58.6%), improving from high (0.7–4.8%), progressing to moderate (9.3–43.7%), progressing to high (1.1–6.0%), and progressing to very high (0.7–1.3%). An additional three BMI trajectory groups were identified in some, but not all, cohorts: adult onset high (three cohorts; 1.8–20.7%), progressing to moderate-high (two cohorts; 5.2–13.8%), and relapsing yo-yoers (alternating upward and downward; one cohort; 1.3%). In pooled analyses, each predictor variable in childhood, including age, gender, parental education and race, was associated with increased likelihood of belonging to the most (e.g., improving from high) and least (e.g., progressing to very high) favourable BMI trajectory groups, suggesting a U-shaped (or inverse U-shaped) pattern of association.
Five consistent BMI trajectory groups were identified across four cohorts from Australia, Finland, and the USA, mainly across two eras of birth. While most participants remained on a persistently low trajectory (50%), many demonstrated worsening BMI trajectories (47%), with only few demonstrating improving trajectories (<5%). Age, gender, parental education, and race appear to be important predictors of BMI trajectory group membership and need consideration in preventive and management strategies.
This study was supported by funding from the National Institutes of Health, National Heart, Lung and Blood Institute (grant number R01 HL121230).
Details
- Title: Subtitle
- Body-mass index trajectories from childhood to mid-adulthood and their sociodemographic predictors: Evidence from the International Childhood Cardiovascular Cohort (i3C) Consortium
- Creators
- Verity Cleland - University of TasmaniaJing Tian - University of TasmaniaMarie-Jeanne Buscot - University of TasmaniaCostan G. Magnussen - Turku University HospitalLydia Bazzano - Tulane UniversityTrudy L. Burns - University of IowaStephen Daniels - University of Colorado DenverTerence Dwyer - University of OxfordNina Hutri-Kahonen - University of TampereJohanna Ikonen - Turku University HospitalDavid Jacobs - University of MinnesotaMarkus Juonala - Turku University HospitalRonald Prineas - Wake Forest UniversityOlli Raitakari - Turku University HospitalAlan Sinaiko - University of MinnesotaJulia Steinberger - University of MinnesotaElaine M. Urbina - Cincinnati Children's Hospital Medical CenterJessica G. Woo - Cincinnati Children's Hospital Medical CenterAlison Venn - University of Tasmania
- Resource Type
- Journal article
- Publication Details
- EClinicalMedicine, Vol.48, pp.101440-101440
- DOI
- 10.1016/j.eclinm.2022.101440
- PMID
- 35706485
- PMCID
- PMC9112099
- NLM abbreviation
- EClinicalMedicine
- ISSN
- 2589-5370
- eISSN
- 2589-5370
- Publisher
- Elsevier Ltd
- Language
- English
- Date published
- 06/2022
- Academic Unit
- Epidemiology; Fraternal Order of Eagles Diabetes Research Center
- Record Identifier
- 9984364425302771
Metrics
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