4 results
80 Implications of Body Mass Index on Executive Functioning in Clinically Diagnosed Neurodiverse Children
- Laura A Campos, Sri Vaishnavi Konagalla, Jessica Smith, Jordan Linde, Madison Berl, Chandan Vaidya, Lauren Kenworthy
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 72-73
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Objective:
Childhood obesity is a serious health epidemic affecting the world today. Children who are obese earlier in life are more likely to stay obese and have an increased risk of poorer health outcomes later in life, such as diabetes and cardiovascular diseases. Obesity is also associated with deficits in executive function. Executive function (EF) is comprised of several distinct but interrelated abilities including working memory, planning, inhibition, and flexibility. Prior research suggests that obesity drives brain changes which implicate executive function structures. Our aim is to examine the relationship between childhood obesity and executive function in children with neurodevelopmental disorders.
Participants and Methods:These data are from an ongoing study on neural and behavioral phenotypes of executive functioning in children with developmental disabilities, primarily Attention-Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD). Only study participants with complete BMI and BRIEF data were included in these analyses (n = 184). 134 representing (72.8%) of the participants were Male, 49 representing (26.6%) were Female, and 1 representing (.5%) were Gender nonconforming. 50 representing (27.2%) of the participants were between 8-9 years, 55 representing (29.9%) were between 10-11 years, and 80 representing (43.0%) were between 12-13 years. Average age was 11 years. 11 representing (6.0%) of the participants were underweight, 115 representing (62.5%) were healthy, 29 representing (15.8%) were overweight, and 29 representing (15.8%) were obese. Average BMI was 19.0, ranging from 13.2 to 36.3. 106 representing (57.6%) of the participants identified as White, 65 representing (35.3%) identified as BIPOC (2 Asian, 31 Hispanic/Latinx, 32 Black) and 13 representing (4.4%) identified as other/unspecified. 114 representing (61.9%) of the participants had a diagnosis of ADHD, ASD, or comorbid ASD and ADHD, 70 representing (38.1%) had a diagnosis of other. Average FSIQ-2 score was 106.98. Parents were asked to complete the Behavior Rating Inventory of Executive Function (BRIEF-2) and the Inhibit, Shift, Working Memory (WM), Planning, and Global Executive Composite (GEC) scales were used as the dependent measure in analyses. BMI (kg/mA2) was calculated based on CDC 2000 growth charts and classified into 4 mutually exclusive categories—underweight, healthy, overweight, and obese. There was a prediction that higher BMI would be associated with lower executive function.
Results:A one-way ANOVA revealed a statistically significant difference between groups (F(3,180) = 3.649, p = .014). A Tukey post hoc test revealed more Shift problems in the obese group (74.55 ± 11.7) compared to the overweight group (65.79 ± 11.6, p = .026). There was no statistically significant difference between the underweight/healthy and obese groups (p = .999/p = .054). There was no statistically significant difference in mean T-scores for the Inhibit, WM, Planning, or GEC scales.
Conclusions:Childhood obesity and executive function deficits are significant risk factors for adult health outcomes. Obesity and elevated executive function T-scores for flexibility are related in a group of children with neurodevelopmental disorders. Future investigation will explore the role of cortical thickness and medication in these data.
13 Verbal Memory and Learning Strategies in an Autistic Sample Using the CVLT
- Andrea Lopez, Rebecca Handsman, Alyssa Verbalis, Jordan Linde, Lauren Kenworthy
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, p. 623
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Objective:
The present study aims to better understand learning strategies and difficulties in autistic youth. Previous studies have found that autistic youth have difficulties with executive function skills and poorer performance in memory and learning tasks, especially those that require spontaneous retrieval of information compared to memory tasks that provide external retrieval cues. Additionally, it has been theorized that autistic youth employ a serial approach rather than a semantic approach to learning. The current study hypothesized that the autistic sample will have (a) significant difficulties in learning and memory, (b) employ a serial approach more frequently and a semantic approach less frequently than the CVLT normative sample, and (c) will benefit significantly when provided with external retrieval cues.
Participants and Methods:Archival data from a mixed clinical and research database were examined for this study. Participants include 740 autistic individuals between the ages of 5.50 and 24.3 (M = 10.90, SD = 2.98). The sample consisted of 22.2% girls and 34.0% Black, Indigenous, and people of color (BIPOC). All individuals had a FSIQ > 70 (M = 99.91, SD = 16.09) and were clinically diagnosed with autism using DSM-IV-TR or DSM-V criteria by a clinician at an autism diagnostic center. Participants completed the age-appropriate California Verbal Learning Test (CVLT, Delis et al. 1987) which is a neuropsychological measure that examines verbal memory and learning. One-sample t-tests were used to examine the sample's verbal memory abilities and their learning strategies. A paired sample t-test was used to evaluate the sample's performance before and after an external retrieval cue was given.
Results:Results from the one-sample t-tests indicate that the autistic sample performed worse than the CVLT normative data with a large effect size (t(739)= -9.440, p <.001, Cohen's d = 1.292). Secondly, the autistic sample was less likely to use a semantic learning approach (t(739) = -1.841, p = .033, Cohen's d = 1.234), but not more likely to use a serial approach (t(739)=-.040, p=.484) compared to the normative sample. Lastly, the paired sample t-test results show that the sample performed significantly better after receiving the external retrieval cue (t(739)=-2.570, p=.005, Cohen's d = .770).
Conclusions:The data supported the first hypothesis; autistic individuals have increased difficulties with learning and verbal memory. However, the data only partially support the second hypothesis. The sample was less likely to use a semantic approach to learning but was not more likely to use serial learning. This finding is opposed to the Weak Central Coherence (WCC) theory, which suggests that autistic individuals are more likely to have detail-oriented, bottom-up cognitive thinking styles, consistent with a serial learning strategy. Lastly, data showed improvement when autistic individuals received a retrieval cue. This result supports the Task Support Hypothesis (TSH) and indicates that autistic individuals benefit from cues for memory recall, particularly those that capitalize on their areas of strength. This study did not use a control group and is limited in ethno-racial diversity; therefore, these are preliminarily findings that require further replication.
2 The Role of Flexibility in Learning in Autistic Teens
- Rebecca Handsman, Jordan Linde, Alyssa Verbalis, Cara Pugliese, Chandan Vaidya, Lauren Kenworthy
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 790-791
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Objective:
Autistic youth have impaired executive functioning (EF) and these challenges increase throughout adolescence. Deficits in EF have been associated with poor adult outcomes, decreased availability for learning, and linked to academic outcomes. Specifically, flexible problem solving is greatly reduced in autistic youth. We aim to investigate how flexibility contributes to learning in autistic youth and their typically developing peers.
Participants and Methods:Participants included 44 teens with (n=22) and without (n=22) ASD. All teens were 14-18 years old (ASD M = 15.77, SD = 1.05; TD M = 15.73, SD = .96) with FSIQ 3 70 (ASD M = 105.92, SD= 16.17; TD M = 107.93, SD = 10.14). Teens with ASD met DSM-5 criteria for autism supported by the SCQ and/or ADOS-2. All participants completed the California Verbal Learning Task (Child or Third Edition) over zoom. Parents reported on their child’s flexibility skills on the Flexibility Questionnaire (FQ) which encompasses 5 subscales: routines/rituals, transitions, special interests, social flexibility, and generativity. Independent samples t-tests examined group differences in performance on the CVLT, measured by the long delay recall and learning slope. Bivariate correlations examined the relationship between learning and flexibility in the autistic group. Linear regression was used to determine how flexibility contributes to learning above and beyond age, gender, and diagnosis.
Results:Autistic youth had significantly lower scores on the CVLT long-delay recall (t = 2.311, p = .026) and the learning slope (t = 1.186, p = .038) than their typically developing peers. Special interests on the FQ were related to both performance on the first trial of the CVLT (r = -.482 p = .023) and the short delay cued recall (r = -.469 p = .028) in the autistic group. Fewer transition related problems were predictive of higher scores on the CVLT above and beyond age, gender, and diagnosis (R2 = .366, B = - .088, p = .030).
Conclusions:Learning was significantly lower in autistic teens compared to their typically developing peers. Additionally, autistic youth had a less steep learning slope than their typically developing peers. Autistic youth may focus on the first group of words only and don’t flexibly update their list to add new words as the trials go on. Autistic youth with more restricted interests have difficulty with the first trial due to the shifting required when starting a new unfamiliar task. Additionally, youth with a greater focus on their own interests had more difficulty on cued recall indicating that these youth may have had trouble shifting when prompted to use semantic categories. Fewer challenges with transitions were a significant predictor of learning above and beyond age, gender, and diagnosis. Previous research has shown large discrepancies between parent-report and laboratory-based tasks in autistic youth. This project highlights two unique measures of different modalities that show similarities in their ratings emphasizing their potential as good representations of overall skills. Future research should utilize a larger sample size to continue to examine the role of flexible problem solving in working memory and learning in autistic youth.
4455 Advancing the Science of Community Engagement with Human-Centered Design
- Jordan Poll, Ayse Buyktur, Aalap Doshi, Linde Huang, Tricia Piechowski, Meghan Spiroff, Erica Marsh
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- Journal:
- Journal of Clinical and Translational Science / Volume 4 / Issue s1 / June 2020
- Published online by Cambridge University Press:
- 29 July 2020, pp. 77-78
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OBJECTIVES/GOALS: To describe how the Community Engagement (CE) Program at the Michigan Institute for Clinical & Health Research (MICHR), a Clinical & Translational Science Award (CTSA) site at the University of Michigan, is adopting human-centered design (HCD) to advance the science of community engagement in translational research and CE’s programmatic efforts. METHODS/STUDY POPULATION: The MICHR CE Program supports academic-community partnerships to transform translational research across the state of Michigan. As the team aims to better engage partners to help guide the direction of their work, CE is collaborating with MICHR’s Design and Innovation Core to incorporate human-centered design (HCD). HCD is an approach that prioritizes the needs, values, and perspectives of direct users during the creation of a new product or service. The MICHR team created interactive HCD activities for two statewide retreats to elicit feedback from community and academic members on ways to enhance community-engaged research (CEnR). Retreat participants worked on a variety of problems, such as barriers to partnering and defining impact for CEnR. These activities generated authentic, contextual, and multi-view data captured in various artifacts for systematic analysis. RESULTS/ANTICIPATED RESULTS: In the first retreat, a HCD activity had participants reflect on their own barriers to partnering in research and potential solutions. In the second retreat, an HCD activity facilitated participants interviewing each other on their views of the impact in CEnR. Results from the first activity identified a set of common barriers to CEnR, some related to partnership formation, communication, and partner equity, among others. These led the CE Program to specific programmatic efforts, such as designing a statewide partnership platform, hiring a communication program manager, and sponsoring community partners to join national conferences. The second retreat activity produced rich data to identify overlaps between different perspectives to inform how impact can be defined and measured in CEnR. DISCUSSION/SIGNIFICANCE OF IMPACT: HCD activities provide means to include community and academic members in the science of CEnR. They allow systematic ways to gather information directly from the diverse set of current or prospective partners of community engagement programs about their needs, experiences, and values, which can be translated to programmatic innovation.