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Sean Nash

Scientists develop visual tool to help people group foods based on their levels of processing | ScienceDaily - 0 views

www.sciencedaily.com/...240530182042.htm

images photos data VirginiaTech visual tools food biomedical health diet group people tool scientists potential research idea behavioralscience biology chemistry HSR-2025 HSR science

shared by Sean Nash on 01 Jun 24 - No Cached
  • Scientists studying ultra-processed foods have created a new tool for assessing the rewarding and reinforcing properties of foods that make up 58 percent of calories consumed in the United States. The foods have been linked to a wide range of negative health outcomes.
    • Sean Nash
      Sean Nash on 01 Jun 24
       
      I couldn't locate this imageset and associated tools online, but I am willing to bet they might make it available to us, and the generation of more future research in this area is a key purpose of this work.
  • provides a collection of carefully curated images of minimally processed and ultra-processed foods matched on 26 characteristics, including macronutrients, sodium, dietary fiber, calories, price, and visual characteristics such as a color and portion size
    • Sean Nash
      Sean Nash on 01 Jun 24
       
      Perhaps we just need to get the full journal article to get the raw materials (images) created and used.
  • The scale has its detractors. "A major criticism of the NOVA scale is that it's difficult to use or that foods are classified differently by different people," said Alexandra DiFeliceantonio, corresponding author and assistant professor at the Fralin Biomedical Research Institute. "We found that people with education in nutrition generally agreed on the food classifications, providing some data that it might not be a valid criticism."
    • Sean Nash
      Sean Nash on 01 Jun 24
       
      See... this is the sort of thing I see as an opportunity. If the scale has detractors or isn't yet perfect, perhaps there is an opening here for a project. Perhaps there is even an opening to create something focused on teens (who I would argue are at most risk for the consumption of ultra-processed foods). This is an interesting area to me, not only behavioral science, but human diet in general.
  • ...7 more annotations...
  • To develop the picture set, a team of psychologists, neuroscientists, and registered dietitians selected foods to represent either minimally processed or ultra-processed foods.
  • The foods were prepared in a lab, visually represented through professional photography, and controlled for consistency. Researchers also gathered price, food weights, and nutritional information -- calories, macronutrients, sodium, and dietary fiber -- for the food in each image.
  • researchers recruited 67 nutrition professionals and asked them to classify the foods as minimally or ultra-processed
  • "There is very little experimental research on ultra-processed foods, and part of what's been holding us back is better tools for measuring and assessing their effects,"
    • Sean Nash
      Sean Nash on 01 Jun 24
       
      Another big GREEN flag that this is an area ripe for new and creative approaches!
  • The Virginia Tech team is making the pictures and associated data accessible through the Virginia Tech Data Repository of the Virginia Tech University Libraries. This will allow scientists to test hypotheses in behavioral economic and neuroimaging studies.
    • Sean Nash
      Sean Nash on 01 Jun 24
       
      This states that the images/research tools WILL BE MADE AVAILABLE (if not already). This is very cool. So, could the already-existing tool be leveraged in a novel way compared to what the researchers used it for, or does this provide somewhat of a template for someone to create a better or more-helpful tool perhaps for teens?
  • Story Source: Materials provided by Virginia Tech. Original written by Leigh Anne Kelley. Note: Content may be edited for style and length.
  • Journal Reference: Zach Hutelin, Monica Ahrens, Mary Elizabeth Baugh, Mary E. Oster, Alexandra L. Hanlon, Alexandra G. DiFeliceantonio. Creation and validation of a NOVA scored picture set to evaluate ultra-processed foods.. Appetite, 2024; 198: 107358 DOI: 10.1016/j.appet.2024.107358
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