Emma T. Schiestl
Psychology · Indiana University
Publications
12
Citations
231
Est. group size
—
Recurring co-author estimate
Active years
10
Publishing since 2017
Emma T. Schiestl studies psychology with a focus on food addiction and eating behaviors. Their work examines how highly processed foods relate to addiction-like patterns, emotions in daily life, and how these experiences appear across different age groups, including children and across the lifespan. They also contribute to developing and evaluating measurement tools, such as the Yale Food Addiction Scale.
Publication activity has been steady but modest, averaging one to two papers per year over the past decade with a lower rate in the most recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- The qualitative evaluation of food addiction across the lifespan
Appetite · 2023
- The qualitative evaluation of the Yale Food addiction scale 2.0
Appetite · 2022
- Highly processed food intake and immediate and future emotions in everyday life
Appetite · 2021
- The Qualitative Evaluation of the Lived Experience of Food Addiction
Deep Blue (University of Michigan) · 2021
- Food versus Eating Addictions
Cambridge University Press eBooks · 2020
- A narrative review of highly processed food addiction across the lifespan
Progress in Neuro-Psychopharmacology and Biological Psychiatry · 2020
- Food addiction prevalence
Elsevier eBooks · 2019
- Contributors
Elsevier eBooks · 2019
- Preliminary validation of the Yale Food Addiction Scale for Children 2.0: A dimensional approach to scoring
European Eating Disorders Review · 2018
- Dimensional Yale Food Addiction Scale for Children 2.0
PsycTESTS Dataset · 2018
- Future Directions in “Food Addiction”: Next Steps and Treatment Implications
Current Addiction Reports · 2017
- Appetite×3
- Elsevier eBooks×2
- European Eating Disorders Review×1
- Cambridge University Press eBooks×1
- Progress in Neuro-Psychopharmacology and Biological Psychiatry×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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