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Early life predictors of body composition trajectories from adolescence to mid-adulthood.
Poveda, Natalia E; Adair, Linda S; Martorell, Reynaldo; Patel, Shivani A; Ramirez-Zea, Manuel; Stein, Aryeh D.
Affiliation
  • Poveda NE; Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, Georgia, USA.
  • Adair LS; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Martorell R; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Patel SA; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Ramirez-Zea M; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Stein AD; INCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala.
Am J Hum Biol ; 35(11): e23952, 2023 11.
Article in En | MEDLINE | ID: mdl-37401888
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.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Body Composition / Obesity Type of study: Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged Language: En Journal: Am J Hum Biol Journal subject: BIOLOGIA Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Body Composition / Obesity Type of study: Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged Language: En Journal: Am J Hum Biol Journal subject: BIOLOGIA Year: 2023 Type: Article Affiliation country: United States