Poster Session 10 Program Schedule
02/17/2024
09:00 am - 10:15 am
Room: Majestic Complex (Posters 61-120)
Poster Session 10: Neurodevelopmental | Congenital Conditions
Final Abstract #72
One Minute Estimation Test Performance in ADHD, Depression and Anxiety
Celita Owens, AAA Neuropsychology, Malvern, United States
Michele Grasso, AAA Neuropsychology, Malvern, United States
Farzin Irani, AAA Neuropsychology, Malvern, United States
Category: ADHD/Attentional Functions
Keyword 1: attention deficit hyperactivity disorder
Keyword 2: depression
Keyword 3: anxiety
Objective:
Time estimation is a basic cognitive function that should be assessed in neuropsychological examination due to ease of administration, involvement of multiple cognitive processes, potential specificity to different clinical conditions, and potential ecological validity in predicting functional abilities (Considine et al, 2022). The participants in the one-minute estimation original normative sample included individuals aged 6 through 76 with no history of current behavioral health issues, traumatic brain injury, attention deficit or learning disability (Meyers, 2020). Given that poor time monitoring and the feeling of time moving faster has been considered a characteristic in adults with ADHD, this study sought to identify if there were differences in those diagnosed with ADHD compared to other psychiatric conditions.
Participants and Methods:
A retrospective chart review of 162 patients who presented for neuropsychological evaluations in an outpatient clinic was conducted. Participants were included if they were 16 to 73 years old and were diagnosed with ADHD or a psychiatric condition. Those with neurological or substance abuse conditions were excluded. Time estimation scores from three diagnostic groups were compared – ADHD, ADHD with a co-occurring psychiatric condition, and psychiatric condition without ADHD.
Results:
A one way ANOVA was performed to evaluate the relationship between time estimation and different diagnostic groups. The ANOVA was not significant at the alpha level of 0.5, F([2], [159])= [0.7], p = [0.48].
Conclusions:
Insignificant findings may be related to low n within the ADHD group. Further research is needed to discriminate between group differences (overestimation vs. underestimation).
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