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. 2012 Mar 29:12:38.
doi: 10.1186/1471-2288-12-38.

Childhood body mass index trajectories: modeling, characterizing, pairwise correlations and socio-demographic predictors of trajectory characteristics

Xiaozhong Wen  1 , Ken Kleinman, Matthew W Gillman, Sheryl L Rifas-Shiman, Elsie M Taveras
Affiliations

Childhood body mass index trajectories: modeling, characterizing, pairwise correlations and socio-demographic predictors of trajectory characteristics

Xiaozhong Wen et al. BMC Med Res Methodol. .

Abstract

Background: Modeling childhood body mass index (BMI) trajectories, versus estimating change in BMI between specific ages, may improve prediction of later body-size-related outcomes. Prior studies of BMI trajectories are limited by restricted age periods and insufficient use of trajectory information.

Methods: Among 3,289 children seen at 81,550 pediatric well-child visits from infancy to 18 years between 1980 and 2008, we fit individual BMI trajectories using mixed effect models with fractional polynomial functions. From each child's fitted trajectory, we estimated age and BMI at infancy peak and adiposity rebound, and velocity and area under curve between 1 week, infancy peak, adiposity rebound, and 18 years.

Results: Among boys, mean (SD) ages at infancy BMI peak and adiposity rebound were 7.2 (0.9) and 49.2 (11.9) months, respectively. Among girls, mean (SD) ages at infancy BMI peak and adiposity rebound were 7.4 (1.1) and 46.8 (11.0) months, respectively. Ages at infancy peak and adiposity rebound were weakly inversely correlated (r = -0.09). BMI at infancy peak and adiposity rebound were positively correlated (r = 0.76). Blacks had earlier adiposity rebound and greater velocity from adiposity rebound to 18 years of age than whites. Higher birth weight z-score predicted earlier adiposity rebound and higher BMI at infancy peak and adiposity rebound. BMI trajectories did not differ by birth year or type of health insurance, after adjusting for other socio-demographics and birth weight z-score.

Conclusions: Childhood BMI trajectory characteristics are informative in describing childhood body mass changes and can be estimated conveniently. Future research should evaluate associations of these novel BMI trajectory characteristics with adult outcomes.

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Figures

Figure 1
Figure 1
Selected characteristics for the BMI trajectory of a hypothetical child. Velocity1 between 1 week and infancy peak, Velocity2 between infancy peak to adiposity rebound, Velocity3 between adiposity rebound and 18 years of age. Area under curve (AUC1) between 1 week and infancy peak, AUC2 between infancy peak to adiposity rebound, AUC3 between adiposity rebound and 18 years of age. Note that the AUC below BMI value of 10 was not shown.
Figure 2
Figure 2
Distribution of residual BMI variance (a measure for goodness of fit) among 3,289 children from 1 week to 18 years of age. Lower residual BMI variance indicates a better fit of an individual's data points to the individual-specific model. A) Among 1,680 boys, B) Among 1,609 girls.
Figure 3
Figure 3
Fitted BMI trajectories of 8 randomly selected children, one from each quartile of residual BMI variance. Lower residual BMI variance indicates a better fit of an individual's data points to the individual-specific model. A) 1st quartile - a boy (residual BMI variance = 0.21), B) 2nd quartile - a boy (0.60), C) 3rd quartile - a boy (1.08), D) 4th quartile - a boy (1.26), E) 1st quartile - a girl (0.23), F) 2nd quartile - a girl (0.69), G) 3rd quartile - a girl (0.85), H) 4th quartile - a girl (1.59).
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