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Meal pattern matters: Associations of meal-specific dietary patterns with postprandial glucose response in free-living adults with obesity

  • Juan J. Martin-Olmedo*
  • , Antonio Clavero-Jimeno
  • , Alba Camacho-Cardenosa
  • , Balma Boira-Nacher
  • , Jordi Merino
  • , Carmen Piernas
  • , Idoia Labayen
  • , Jonatan R. Ruiz*
  • , Lucas Jurado-Fasoli
  • *Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

Background & aims: Impaired postprandial glucose is associated with increased risk of type 2 diabetes and all-cause mortality. Although dietary intake influences glucose response, meal-specific postprandial glucose responses under free-living conditions remain poorly characterized in adults with obesity. This cross-sectional study examined whether dietary intake at breakfast and lunch relates to subsequent postprandial glucose, and whether dinner intake relates to both postprandial and nocturnal glucose. Methods: Participants wore a continuous glucose monitoring (CGM) device for 14 days, and dietary intake was assessed using one or two non-consecutive 24-h recalls. Energy, macronutrients, food groups, and dietary patterns were derived. CGM data were time-matched to breakfast, lunch, and dinner to derive postprandial parameters (0–180 min), and nocturnal metrics were derived during the sleep period time. Results: A total of 146 participants (73 women; median [Q1–Q3] age: 49.5 [42.0–55.0] years) with valid data were included in this analysis. Higher intakes of fruit, dairy, and unsweetened beverages (all β≤ −1.1 × 10−4 per 5%EI increase), and lower consumption of high-carbohydrate dietary patterns at lunch (all non-linear P≤ 0.005) were associated with lower postprandial glucose variability. At dinner, greater intake of alcoholic drinks, processed meats, and refined bread or pasta was associated with detrimental nocturnal glucose responses (all β≥ 3.9 × 10−5 per 5%EI increase), whereas higher fruit intake showed the opposite pattern (all β ≤–2.1 × 10−5 per 5%EI increase). Conclusion: These findings highlight the dynamic relationships between meal-specific dietary intake and subsequent glucose responses in free-living adults with obesity, with potential implications for precision nutrition strategies to improve glucose regulation.

Original languageEnglish
Article number106671
JournalClinical Nutrition
Volume61
Number of pages10
ISSN0261-5614
DOIs
Publication statusPublished - 2026

Bibliographical note

Publisher Copyright:
© 2026 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/

Keywords

  • AUCArea under the curve
  • BEDCABase de Datos Española de Composición de Alimentos
  • BMIBody mass index
  • CGMContinuous glucose monitoring
  • CVCoefficient of variation
  • Dietary patterns
  • EIEnergy intake
  • ENMOEuclidean Norm of the raw accelerations Minus One
  • Food groups
  • GLP-1Glucagon-like peptide-1
  • Glucose homeostasis
  • HbA1cGlycated hemoglobin
  • HDL-CHigh-density lipoprotein cholesterol
  • HOMA-IRHomeostatic Model Assessment for Insulin Resistance
  • iAUCIncremental area under the curve
  • LDL-CLow-density lipoprotein cholesterol
  • Macronutrients
  • MVPAModerate-to-vigorous physical activity
  • Postprandial state
  • RRRReduced rank regression
  • SDStandard deviation
  • VATVisceral adipose tissue
  • VIFVariance inflation factor

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