Poster D105, Monday, March 26, 8:00-10:00 am, Exhibit Hall C
The Association Between Health and Component Decision Processes
Alexis Porter1, Regina Leckie2, Kirk Erickson2, Timothy Verstynen1; 1Carnegie Mellon University, 2University of Pittsburgh
Poor health, such as high obesity or low cardiorespiratory fitness, is associated with poor executive function, it is unclear what underlying component mechanisms of decision control are negatively associated with health measures. To investigate this a neurologically healthy sample of community dwelling adults, ranging from overweight to obese (N=110), were evaluated on several health measures: body mass index (BMI), maximum cardiorespiratory fitness (VO2), and body fat composition using dual-energy x-ray absorptiometry (DXA). Decision control was then evaluated using the color-word Stroop task, where the underlying component processes were modeled using a hierarchical drift diffusion model (Wiecki et al, 2013). Cue-conflict was found to modify the drift rate of the decision process but not other parameters such as threshold and boundary height. The incongruency effect on the drift rate process did not associate with any of the health measures even after controlling for age, gender, and education (all r’s<0.3, all p-values>0.05). Our results suggest that individual variability in BMI, body fat, and VO2 does not directly associate with variability in underlying component processes that regulate decision making.
Topic Area: THINKING: Decision making