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Body-mass index trajectories from childhood to mid-adulthood and their sociodemographic predictors: Evidence from the International Childhood Cardiovascular Cohort (i3C) Consortium

Dwyer Terence; Woo Jessica G.; Tian Jing; Cleland Verity; Steinberger Julia; Ikonen Johanna; Magnussen Costan G.; Venn Alison; Juonala Markus; Sinaiko Alan; Daniels Stephen; Burns Trudy L.; Urbina Elaine M.; Raitakari Olli; Buscot Marie-Jeanne; Bazzano Lydia; Hutri-Kahonen Nina; Prineas Ronald; Jacobs David

Body-mass index trajectories from childhood to mid-adulthood and their sociodemographic predictors: Evidence from the International Childhood Cardiovascular Cohort (i3C) Consortium

Dwyer Terence
Woo Jessica G.
Tian Jing
Cleland Verity
Steinberger Julia
Ikonen Johanna
Magnussen Costan G.
Venn Alison
Juonala Markus
Sinaiko Alan
Daniels Stephen
Burns Trudy L.
Urbina Elaine M.
Raitakari Olli
Buscot Marie-Jeanne
Bazzano Lydia
Hutri-Kahonen Nina
Prineas Ronald
Jacobs David
Katso/Avaa
PIIS2589537022001705.pdf (635.7Kb)
Lataukset: 

Elsevier Ltd
doi:10.1016/j.eclinm.2022.101440
URI
https://doi.org/10.1016/j.eclinm.2022.101440
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2022081154126
Tiivistelmä

Background
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.

Methods
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.

Findings
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.

Interpretation
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.

Funding
This study was supported by funding from the National Institutes of Health, National Heart, Lung and Blood Institute (grant number R01 HL121230).

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