Early life predictors of body composition trajectories from adolescence to mid‐adulthood

OBJECTIVES: Guatemala has experienced rapid increases in adult obesity. We characterized body composition trajectories from adolescence to mid-adulthood and determined the predictive role of parental characteristics, early life factors, and a nutrition intervention. METHODS: One thousand three hundred and sixty-four individuals who participated as children in a nutrition trial (1969-1977) were followed prospectively. Body composition characterized as body mass index (BMI), fat mass index (FMI), and fat-free mass indices (FFMI), was available at four ages between 10 and 55 years. We applied latent class growth analysis to derive sex-specific body composition trajectories. We estimated associations between parental (age, height, schooling) and self-characteristics (birth order, socioeconomic status, schooling, and exposure to a nutrition supplement) with body composition trajectories. RESULTS: In women, we identified two latent classes of FMI (low: 79.6%; high: 20.4%) and BMI (low: 73.0%; high: 27.0%), and three of FFMI (low: 20.2%; middle: 55.9%; high: 23.9%). In men, we identified two latent classes of FMI (low: 79.6%; high: 20.4%) and FFMI (low: 62.4%; high: 37.6%), and three of BMI (low: 43.1%; middle: 46.9%; high: 10.0%). Among women, self's schooling attainment inversely predicted FMI (OR [being in a high latent class]: 0.91, 95% CI: 0.85, 0.97), and maternal schooling positively predicted FFMI (OR: 1.16, 95% CI: 0.97, 1.39). Among men, maternal schooling, paternal age, and self's schooling attainment positively predicted FMI. Maternal schooling positively predicted FFMI, whereas maternal age and paternal schooling were inverse predictors. The nutrition intervention did not predict body composition class membership. CONCLUSIONS: Parents' age and schooling, and self's schooling attainment are small but significant predictors of adult body composition trajectories.

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UNC Libraries
Published
2024-12-20
DOI
https://doi.org/10.17615/y9zj-3x51
Primary Topic
Body Composition Measurement Techniques
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article
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0.00

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article

Early life predictors of body composition trajectories from adolescence to mid‐adulthood

Aryeh D. Stein, Natalia E. Poveda, Linda S. Adair, Shivani Anil Patel et al.
UNC Libraries
Body Composition Measurement Techniques
article

Early life predictors of body composition trajectories from adolescence to mid‐adulthood

Aryeh D. Stein, Natalia E. Poveda, Linda S. Adair, Shivani Anil Patel, Reynaldo Martorell, Manuel Ramírez‐Zea
article en

Abstract

OBJECTIVES: Guatemala has experienced rapid increases in adult obesity. We characterized body composition trajectories from adolescence to mid-adulthood and determined the predictive role of parental characteristics, early life factors, and a nutrition intervention. METHODS: One thousand three hundred and sixty-four individuals who participated as children in a nutrition trial (1969-1977) were followed prospectively. Body composition characterized as body mass index (BMI), fat mass index (FMI), and fat-free mass indices (FFMI), was available at four ages between 10 and 55 years. We applied latent class growth analysis to derive sex-specific body composition trajectories. We estimated associations between parental (age, height, schooling) and self-characteristics (birth order, socioeconomic status, schooling, and exposure to a nutrition supplement) with body composition trajectories. RESULTS: In women, we identified two latent classes of FMI (low: 79.6%; high: 20.4%) and BMI (low: 73.0%; high: 27.0%), and three of FFMI (low: 20.2%; middle: 55.9%; high: 23.9%). In men, we identified two latent classes of FMI (low: 79.6%; high: 20.4%) and FFMI (low: 62.4%; high: 37.6%), and three of BMI (low: 43.1%; middle: 46.9%; high: 10.0%). Among women, self's schooling attainment inversely predicted FMI (OR [being in a high latent class]: 0.91, 95% CI: 0.85, 0.97), and maternal schooling positively predicted FFMI (OR: 1.16, 95% CI: 0.97, 1.39). Among men, maternal schooling, paternal age, and self's schooling attainment positively predicted FMI. Maternal schooling positively predicted FFMI, whereas maternal age and paternal schooling were inverse predictors. The nutrition intervention did not predict body composition class membership. CONCLUSIONS: Parents' age and schooling, and self's schooling attainment are small but significant predictors of adult body composition trajectories.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Bill and Melinda Gates Foundation, Fulbright Colombia, National Institutes of Health
Gender equality
Openalex Percentile: Top 66%
Body Composition Measurement Techniques
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