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Genetic predisposition to macronutrient preference and workplace food choices.
Merino, Jordi; Dashti, Hassan S; Levy, Douglas E; Del Rocío Sevilla-González, Magdalena; Hivert, Marie-France; Porneala, Bianca C; Saxena, Richa; Thorndike, Anne N.
Affiliation
  • Merino J; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. jmerino@mgh.harvard.edu.
  • Dashti HS; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA. jmerino@mgh.harvard.edu.
  • Levy DE; Broad Institute of MIT and Harvard, Cambridge, MA, USA. jmerino@mgh.harvard.edu.
  • Del Rocío Sevilla-González M; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. jmerino@mgh.harvard.edu.
  • Hivert MF; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. jmerino@mgh.harvard.edu.
  • Porneala BC; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Saxena R; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Thorndike AN; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Mol Psychiatry ; 28(6): 2606-2611, 2023 06.
Article de En | MEDLINE | ID: mdl-37217678
ABSTRACT
Prior research identified genetic variants influencing macronutrient preference, but whether genetic differences underlying nutrient preference affect long-term food choices is unknown. Here we examined the associations of polygenic scores for carbohydrate, fat, and protein preference with 12 months' workplace food purchases among 397 hospital employees from the ChooseWell 365 study. Food purchases were obtained retrospectively from the hospital's cafeteria sales data for the 12 months before participants were enrolled in the ChooseWell 365 study. Traffic light labels, visible to employees when making purchases, measured the quality of workplace purchases. During the 12-month study period, there were 215,692 cafeteria purchases. Each SD increase in the polygenic score for carbohydrate preference was associated with 2.3 additional purchases/month (95%CI, 0.2 to 4.3; p = 0.03) and a higher number of green-labeled purchases (ß = 1.9, 95%CI, 0.5-3.3; p = 0.01). These associations were consistent in subgroup and sensitivity analyses accounting for additional sources of bias. There was no evidence of associations between fat and protein polygenic scores and cafeteria purchases. Findings from this study suggest that genetic differences in carbohydrate preference could influence long-term workplace food purchases and may inform follow-up experiments to enhance our understanding of the molecular mechanisms underlying food choice behavior.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Prédisposition génétique à une maladie / Préférences alimentaires Type d'étude: Prognostic_studies Aspects: Patient_preference Limites: Humans Langue: En Journal: Mol Psychiatry Sujet du journal: BIOLOGIA MOLECULAR / PSIQUIATRIA Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Prédisposition génétique à une maladie / Préférences alimentaires Type d'étude: Prognostic_studies Aspects: Patient_preference Limites: Humans Langue: En Journal: Mol Psychiatry Sujet du journal: BIOLOGIA MOLECULAR / PSIQUIATRIA Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique