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Body mass index across development and adolescent hair cortisol: the role of persistence, variability, and timing of exposure. | LitMetric

AI Article Synopsis

  • - The research investigates the link between body mass index (BMI) trajectories from infancy to adolescence and hair cortisol concentration (HCC), indicating stress hormone levels, measured two years later among participants.
  • - Three distinct BMI trajectories were identified: "low-stable," "moderate," and "high-rising," with findings showing that those on a moderate BMI trajectory had higher HCC compared to low-stable youth, while high-rising youth showed no significant correlation.
  • - The study highlights the importance of BMI variability during childhood in predicting cortisol levels, suggesting that fluctuations in weight over time may play a crucial role in stress hormone regulation, beyond just the BMI trajectory itself.

Article Abstract

Background: Research suggests a putative role of the glucocorticoid stress hormone cortisol in the accumulation of adiposity. However, obesity and weight fluctuations may also wear and tear physiological systems promoting adaptation, affecting cortisol secretion. This possibility remains scarcely investigated in longitudinal research. This study tests whether trajectories of body mass index (BMI) across the first 15 years of life are associated with hair cortisol concentration (HCC) measured two years later and whether variability in BMI and timing matter.

Methods: BMI (kg/m) was prospectively measured at twelve occasions between age 5 months and 15 years. Hair was sampled at age 17 in 565 participants. Sex, family socioeconomic status, and BMI measured concurrently to HCC were considered as control variables.

Results: Latent class analyses identified three BMI trajectories: "low-stable" (59.2%, n = 946), "moderate" (32.6%, n = 507), and "high-rising" (8.2%, n = 128). BMI variability was computed by dividing the standard deviation of an individual's BMI measurements by the mean of these measurements. Findings revealed linear effects, such that higher HCC was noted for participants with moderate BMI trajectories in comparison to low-stable youth (β = 0.10, p = 0.03, 95% confidence interval (CI) = [0.02-0.40]); however, this association was not detected in the high-rising BMI youth (β = -0.02, p = 0.71, 95% CI = [-0.47-0.32]). Higher BMI variability across development predicted higher cortisol (β = 0.17, p = 0.003, 95% CI = [0.10-4.91]), additively to the contribution of BMI trajectories. BMI variability in childhood was responsible for that finding, possibly suggesting a timing effect.

Conclusions: This study strengthens empirical support for BMI-HCC association and suggests that more attention should be devoted to BMI fluctuations in addition to persistent trajectories of BMI.

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Source
http://dx.doi.org/10.1038/s41366-024-01640-1DOI Listing

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