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Objective: This study investigated, in a large pediatric population, whether magnetic resonance imaging (MRI) evidence of mediobasal hypothalamic (MBH) gliosis is associated with baseline or change over 1 year in body adiposity.
Methods: Cross-sectional and prospective cohort analyses were conducted within the Adolescent Brain Cognitive Development Study. Study 1 included 169 children with usable baseline T2-weighted MRI images and anthropometrics from baseline and 1-year follow-up study visits. Signal ratios compared T2 signal intensity in MBH and two reference regions (amygdala [AMY] and putamen) as a measure of MBH gliosis. Study 2 included a distinct group of 238 children with overweight or obesity to confirm initial findings in an independent sample.
Results: In Study 1, MBH/AMY signal ratio was positively associated with BMI z score (β = 4.27, p < 0.001). A significant interaction for the association of MBH/AMY signal ratio with change in BMI z score suggested that relationships differed by baseline weight status. Study 2 found that higher MBH/AMY signal ratios associated with an increase in BMI z score for children with overweight (β = 0.58, p = 0.01), but not those with obesity (β = 0.02, p = 0.91).
Conclusions: Greater evidence of hypothalamic gliosis by MRI is associated with baseline BMI z score and predicts adiposity gain in young children at risk of obesity.
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http://dx.doi.org/10.1002/oby.23286 | DOI Listing |
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Department of Public Health and Primary Care/Health Campus The Hague, Leiden University Medical Center, Leiden, Netherlands.
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Front Med (Lausanne)
December 2024
Facultad de Ciencias de la Salud, Universidad Internacional de Valencia, Valencia, Spain.
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View Article and Find Full Text PDFHeliyon
December 2024
Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, PO Box 11433, Saudi Arabia.
Background: Identification of an individuals vulnerability to specific eating behaviours could explain weight variations, which could help develop tailored interventional programs to prevent obesity and other pathological eating behaviours. However, there is no baseline data available on the associations between the subscales of the Three-Factor Eating Questionnaire (TFEQ) (dietary restraint, disinhibition, and susceptibility to hunger) and the body mass index (BMI) in a sample of the Saudi population. Thus, this study examines the relationship between the BMI and eating behaviours of Saudi female students, using the scores of the TFEQ subscales.
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