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Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition that needs an assessment of inattention, hyperactivity, and impulsiveness symptoms. Particularly in young children, hyperactivity-impulsivity stands out as a primary concern. However, those behaviors may or may not be evidenced when a child is in a small room, one-on-one with a single adult. Therefore, Ambient intelligence technology that supports data collection in a natural setting paired with expert human decision-making can potentially improve the quality of assessments. In this paper, we conduct a literature review and analysis to align ADHD assessment criteria with potential sensor technologies to collect behavior data, followed by design sessions proposing personas and scenarios to envision potential solutions.
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This content will become publicly available on May 15, 2026
Investigating the link between impulsivity and obesity through urban scaling laws
Impulsivity has been proposed as a key driver of obesity. However, evidence linking impulsivity and obesity has relied on the study of individual factors, with limited account for the urban attributes of obesogenic environments. Here, we investigate the relationship between obesity and impulsivity through urban scaling and causal discovery. For 915 cities in the United States of America, we study the prevalence of obesity in adults, attention deficit hyperactivity disorder (ADHD) in children, and relevant urban features. We observe sublinear scaling of obesity and ADHD with population size, these disorders being less prevalent in larger cities. By applying a causal discovery tool to the deviations of cities from the urban scaling laws, we identify an influence of ADHD on obesity, moderated by lifestyle. The strength of these associations is confirmed by individual-level data on a cohort of 19,333 children, wherein we observe that ADHD modulates obesity both directly and indirectly.
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- PAR ID:
- 10615103
- Editor(s):
- Oliveira, Marcos
- Publisher / Repository:
- PLoS
- Date Published:
- Journal Name:
- PLOS Complex Systems
- Volume:
- 2
- Issue:
- 5
- ISSN:
- 2837-8830
- Page Range / eLocation ID:
- e0000046
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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