Martinez-Gomez J, Bodega P, Santos-Beneit G, de Cos-Gandoy A, Beneito-Dura M, de Miguel M
Nutr J. 2025; 24(1):35.
PMID: 40055723
PMC: 11887375.
DOI: 10.1186/s12937-025-01102-y.
Cheng F, Bauer E, Ford N, Backman K, Voutilainen R, Pasanen M
Pediatr Res. 2025; .
PMID: 40055533
DOI: 10.1038/s41390-025-03968-4.
Khaled K, Tsofliou F, Hundley V
Nutrients. 2025; 17(4).
PMID: 40005043
PMC: 11858303.
DOI: 10.3390/nu17040715.
Goncalves S, Vicente F, Pereira P
Nutrients. 2025; 17(4).
PMID: 40004992
PMC: 11858584.
DOI: 10.3390/nu17040664.
Theodoridis X, Papaemmanouil A, Papageorgiou N, Georgakou A, Kalaitzopoulou I, Stamouli M
Life (Basel). 2025; 15(2).
PMID: 40003569
PMC: 11856173.
DOI: 10.3390/life15020160.
Ultra-processed food consumption in the central division of Fiji.
Palu A, Santos J, Coyle D, Shahid M, Crowther J, Waqa G
BMC Med. 2025; 23(1):109.
PMID: 39984924
PMC: 11846173.
DOI: 10.1186/s12916-025-03947-w.
Identifying Dietary Triggers Among Individuals with Overweight and Obesity: An Ecological Momentary Assessment Study.
Chew H, Vashishtha R, Du R, Liaw Y, Gneezy A
Nutrients. 2025; 17(3).
PMID: 39940339
PMC: 11821236.
DOI: 10.3390/nu17030481.
The Mediating Effect of Concurrent Changes in Dietary Behaviors on the Associations Between Intervention and Changes in Adiposity Outcomes: Evidence from a Cluster-Randomized Controlled Trial.
Wang H, Cheng L, Yuan X, Lyu J, Li P, Yan S
Nutrients. 2025; 17(3).
PMID: 39940234
PMC: 11820463.
DOI: 10.3390/nu17030376.
Expansion and Assessment of a Web-Based 24-Hour Dietary Recall Tool, Foodbook24, for Use Among Diverse Populations Living in Ireland: Comparative Analysis.
Bennett G, Yang S, Bardon L, Timon C, Gibney E
Online J Public Health Inform. 2025; 17:e52380.
PMID: 39919284
PMC: 11845893.
DOI: 10.2196/52380.
The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings.
Kok E, Chauhan A, Tufano M, Feskens E, Camps G
Front Nutr. 2025; 11:1520674.
PMID: 39897532
PMC: 11784147.
DOI: 10.3389/fnut.2024.1520674.
A better diet quality based on the Healthy Eating Index-2020 is associated with lower energy intake and age but not with a pre-diabetes/T2DM diagnosis among Hispanic women with overweight/obesity.
Arias-Gastelum M, Lindberg N, Leo M, Gille S, Vaughn K, Shuster E
Nutr Res. 2025; 134:88-98.
PMID: 39874721
PMC: 11830551.
DOI: 10.1016/j.nutres.2025.01.002.
Assessing the Consumption of Ultra-Processed Foods in People with Diabetes: Is a Specific NOVA Questionnaire Always Necessary?.
DAbbronzo G, Quaglia C, Di Costanzo G, Testa R, Giacco R, Riccardi G
Nutrients. 2025; 17(1.
PMID: 39796435
PMC: 11722861.
DOI: 10.3390/nu17010001.
The relationship between healthy eating index and Mediterranean diet adherence score with inflammatory indices and disease severity: a case-control study of hospitalized COVID-19 patients.
Mousavi R, Rostami S, Yazdi S, Kooshki A, Foroumandi E
BMC Nutr. 2024; 10(1):168.
PMID: 39736713
PMC: 11686838.
DOI: 10.1186/s40795-024-00983-2.
The role of the analysis of sialotransferrin isoforms in the management of hereditary fructose intolerance: a systematic review.
Maines E, Gugelmo G, Maiorana A, Martinelli D, Vitturi N, Lenzini L
J Diabetes Metab Disord. 2024; 24(1):27.
PMID: 39735177
PMC: 11680511.
DOI: 10.1007/s40200-024-01527-y.
Glaucoma and dietary intake: a scoping review.
Edokpa G, McFarlane S
Front Nutr. 2024; 11:1497366.
PMID: 39720355
PMC: 11666372.
DOI: 10.3389/fnut.2024.1497366.
Ultra-Processed Food and Prostate Cancer Risk: A Systemic Review and Meta-Analysis.
Fichtel-Epstein C, Huang J, Rich B, Seldon Taswell C, Isrow D, Jin W
Cancers (Basel). 2024; 16(23).
PMID: 39682140
PMC: 11639853.
DOI: 10.3390/cancers16233953.
Bread Consumption and Cancer Risk: Systematic Review and Meta-Analysis of Prospective Cohort Studies.
Gaesser G, Angadi S, Paterson C, Jones J
Curr Dev Nutr. 2024; 8(12):104501.
PMID: 39668947
PMC: 11634998.
DOI: 10.1016/j.cdnut.2024.104501.
Health-related fitness benefits following concurrent high-intensity interval training and resistance training in patients with type-1 diabetes or type-2 diabetes.
Scoubeau C, Klass M, Celie B, Godefroid C, Cnop M, Faoro V
Front Physiol. 2024; 15:1466148.
PMID: 39633643
PMC: 11614843.
DOI: 10.3389/fphys.2024.1466148.
Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review.
Zheng J, Wang J, Shen J, An R
J Med Internet Res. 2024; 26:e54557.
PMID: 39608003
PMC: 11638690.
DOI: 10.2196/54557.
Validity and Reproducibility of a Spanish EPIC Food Frequency Questionnaire in Children and Adolescents.
Larroya A, Tamayo M, Cenit M, Sanz Y
Nutrients. 2024; 16(22).
PMID: 39599596
PMC: 11597864.
DOI: 10.3390/nu16223809.