Metrics of glycemic control but not body weight influence flavor nutrient conditioning in humans
| dc.contributor.author | Baugh, Mary Elizabeth | en |
| dc.contributor.author | Ahrens, Monica L. | en |
| dc.contributor.author | Burns, Amber K. | en |
| dc.contributor.author | Sullivan, Rhianna M. | en |
| dc.contributor.author | Valle, Abigail N. | en |
| dc.contributor.author | Hanlon, Alexandra L. | en |
| dc.contributor.author | DiFeliceantonio, Alexandra G. | en |
| dc.date.accessioned | 2025-08-06T11:58:09Z | en |
| dc.date.available | 2025-08-06T11:58:09Z | en |
| dc.date.issued | 2025-07 | en |
| dc.description.abstract | The modern food landscape, marked by a rising prevalence of highly refined, ultra-processed, and highly palatable foods, combined with genetic and environmental susceptibilities, is widely considered a key factor driving obesity at the population level. Gaining insight into the physiological and behavioral mechanisms that shape food preferences and choices is crucial for understanding obesity's development and informing prevention strategies. One factor influencing habitual eating patterns, which may impact body weight, is flavor-nutrient learning. Research suggests that post-oral signaling is diminished in both animals and humans with obesity, potentially affecting flavor-nutrient learning. By analyzing pooled data from two similar preliminary studies, we found that markers of glycemic control-specifically fasting glucose and HbA1C-rather than BMI, were negatively correlated with changes in flavor liking in our flavor-nutrient learning task. These findings contribute to the expanding body of research on flavor-nutrient learning and underscore the variability in individual responses to these paradigms. Obesity is increasingly recognized as a complex and heterogeneous condition with diverse underlying mechanisms. Together, our findings and existing evidence emphasize the importance of further investigating how phenotypic factors interact to shape food preferences and eating behaviors. | en |
| dc.description.version | Accepted version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1016/j.physbeh.2025.115037 | en |
| dc.identifier.eissn | 1873-507X | en |
| dc.identifier.issn | 0031-9384 | en |
| dc.identifier.orcid | DiFeliceantonio, Alexandra [0000-0002-7155-6060] | en |
| dc.identifier.orcid | Baugh, Mary [0000-0002-3469-7040] | en |
| dc.identifier.other | S0031-9384(25)00238-0 (PII) | en |
| dc.identifier.pmid | 40716480 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/136973 | en |
| dc.language.iso | en | en |
| dc.publisher | Elsevier | en |
| dc.relation.uri | https://www.ncbi.nlm.nih.gov/pubmed/40716480 | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | carbohydrates | en |
| dc.subject | flavor nutrient conditioning | en |
| dc.subject | food reward | en |
| dc.subject | metabolism | en |
| dc.title | Metrics of glycemic control but not body weight influence flavor nutrient conditioning in humans | en |
| dc.title.serial | Physiology & Behavior | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
| dc.type.other | Journal Article | en |
| dcterms.dateAccepted | 2025-07-24 | en |
| pubs.organisational-group | Virginia Tech | en |
| pubs.organisational-group | Virginia Tech/Faculty of Health Sciences | en |
| pubs.organisational-group | Virginia Tech/All T&R Faculty | en |
| pubs.organisational-group | Virginia Tech/University Research Institutes | en |
| pubs.organisational-group | Virginia Tech/University Research Institutes/Fralin Biomedical Research Institute at VTC | en |