Why the study?
Obesity involves cardiometabolic and neurocognitive changes, but how these two factors relate to each other in this population is unknown.
Do cardiometabolic measures predict impulsivity and white matter changes in adolescents with and without excess weight?
Do cardiometabolic measures predict impulsivity and white matter changes in adolescents with and without excess weight?
Cardiometabolic measures, beyond just BMI, are significant predictors of neurocognitive differences and white matter changes in adolescents.
May associate cardiometabolic factors with impulsivity and white matter changes in obese adolescents; leaves open causality and clinical relevance.
Obesity is characterized by cardiometabolic and neurocognitive changes. However, how these two factors relate to each other in this population is unknown. We tested the association that cardiometabolic measures may have with impulse behaviors and white matter microstructure in adolescents with and without an excess weight. One hundred and eight adolescents (43 normal-weight and 65 overweight/obesity; 11-19 years old) were medically and psychologically (Temperament Character Inventory Revised, Three-Factor Eating Questionnaire-R18, Conners' Continuous Performance Test-II, Stroop Color and Word Test, Wisconsin Card Sorting Test, Kirby Delay Discounting Task) evaluated. A subsample of participants (n = 56) underwent a brain magnetic resonance imaging acquisition. In adolescents, higher triglycerides and having a body mass index indicative of overweight/obesity predicted a more impulsive performance in Conners' Continuous Performance Test-II (higher commission errors). In addition, higher glucose and diastolic blood pressure values predicted increments in the Three-Factor Eating Questionnaire-R18 emotional eating scale. Neuroanatomically, cingulum fractional anisotropy showed a negative relationship with glycated hemoglobin. The evaluation of the neurocognitive differences associated with obesity, usually based on body mass index, should be complemented with cardiometabolic measures.
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Prunell‐Castañé et al. (2023) studied this question.
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