Used mediation models to assess if childhood adversity and lifetime trauma were linked to cognitive performance in later life via epigenetic aging
Used regression analyses to predict a significant change in BMI over the 12 week intervention phase by baseline cognitive performance
Used a multigroup path model in lavaan to assess whether self-reported ADHD symptom subscales are linked to cognitive outcomes and if those associations varied across age bands
Used a cross lagged panel model in lavaan and jamovi to investigate if engagement in word or card games predicted better cognitive performance or vice versa
Did not find consistent patterns across outcomes
Used regression models to see if consumption of different ultra-processed foods led to increased epigenetic age.
Used mediation models via Hayes PROCESS macro to assess if nutritional intake was linked to cognitive outcomes or classifications via epigenetic aging
Used hierarchical linear modeling in HLM to assess how cancer treatments types (i.e. chemotherapy, radiation, surgery or no treatment) affected functional aging trajectories
Used regression models to explore if ADHD Polygenic Scores predicted cognitive performance ten years apart
Used moderation analyses to investigate if repeating a year of school moderated the effect of ADHD PGS on cognitive outcomes
Used hierarchical linear modeling to assess if playing word/card games frequently was associated with slower cognitive declines
Type 1 diabetes (T1D) is a chronic disease that is due to the dysregulation of glucose in the blood when insulin is not made endogenously. Patients rely on a combination of exogenic insulin, medications, blood glucose monitoring, and healthy lifestyle activities such as dietary control and exercise to manage their blood glucose levels. T1D typically begins its onset during childhood or adolescence, where it may also affect the development of executive function (EF) processes which are also relevant for self-regulation, or goal-directed behavior. This in turn may affect individuals’ adherence to their T1D management regimens, which can result in severe short- and long-term complications. Despite evidence for the plasticity of EF during childhood, previous research has not frequently focused on EF or self-regulation (SR) as a possible mechanism for improving health outcomes in adolescents with T1D. This study focused on the dosage of EF training and its possible effects on both cognitive and health outcomes for 47 adolescents (M= 15.4, SD =1.45) with T1D undergoing a larger adherence intervention. EF was measured by the Digit Span and Go/No-Go tests, while composite measures of T1D treatment adherence were aggregated via separate parent and adolescent reports. It was hypothesized that both cognitive measures and treatment adherence would have a dose-dependent relationship with n-back training. However, no association was found between training dosage and EF outcomes or treatment adherence. The study’s limitations include a relatively small sample size along with low participant compliance for the EF training. It also might be that the relationship between EF, SR, and health behaviors is more nuanced than previously suggested and that there are a variety of reasons why dosage of training was not linked to differential outcomes. As such, further investigation is required to better understand this relationship in the search for effective interventions for health behavior.