Evidence map›Paper›PMID 41635142›Full record

ArticleDiabetes, obesity & metabolism2026

Physical activity and meal timing alignment with chronotype and their associations with glucose metabolism: The Maastricht Study.

Marvin Y Chong, Joseph Henson, Martijn J L Bours, Hans Bosma, Bastiaan E de Galan, Carla J H van der Kallen, Ree M Meertens, Hans H C M Savelberg, Miranda T Schram, Matty P Weijenberg and 3 more

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Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Marvin Y ChongDepartment of Epidemiology, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-4179-6290
Joseph HensonDiabetes Research Centre, University of Leicester, Leicester, UK.ORCID 0000-0002-3898-7053
Martijn J L BoursDepartment of Epidemiology, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
Hans BosmaDepartment of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Bastiaan E de GalanDepartment of Internal Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.
Carla J H van der KallenDepartment of Internal Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.
Ree M MeertensDepartment of Health Promotion, NUTRIM Institute of Nutrition and Translational Research in Metabolism and CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Hans H C M SavelbergDepartment of Nutrition and Movement Science, NUTRIM Institute of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
Miranda T SchramDepartment of Internal Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.
Matty P WeijenbergDepartment of Epidemiology, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
Thomas YatesDiabetes Research Centre, University of Leicester, Leicester, UK.
Annemarie KosterDepartment of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Simone J P M EussenDepartment of Epidemiology, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.

Funding

This study was supported by the European Regional Development Fund via OP-Zuid, the Province of Limburg, the Dutch Ministry of Economic Affairs (grant 31O.041), Stichting De Weijerhorst (Maastricht, The Netherlands), the Cardiovascular Center (CVC, Maastricht, the Netherlands), CARIM Cardiovascular Research Institute Maastricht (Maastricht, The Netherlands), CAPHRI Care and Public Health Research Institute (Maastricht, The Netherlands), NUTRIM Nutrition and Translational Research in Metabolism (Maastricht, the Netherlands), MHeNs Mental Health and Neuroscience Research Institute (Maastricht, the Netherlands), Maastricht University and Maastricht University Medical Centre+ (MUMC+). Marvin Y. Chong was supported by two travel grants to work on this project in Leicester; by the Foundation "De Drie Lichten" in The Netherlands and GROW Research Institute for Oncology and Reproduction (Maastricht, The Netherlands).
6 · The paper itself

Abstract

aimsLittle is known about how the alignment between daily behaviours, such as physical activity and eating, and chronotype relates to glucose metabolism. We investigated whether alignment of physical activity and meal timing with chronotype was associated with glycaemic parameters and with prediabetes or type 2 diabetes (T2DM). MATERIALS AND

methodsIn a cross-sectional analysis of 1384 participants from The Maastricht Study, we examined associations between behaviour-chronotype alignment and glucose metabolism. Physical activity timing was assessed by accelerometry and defined as the daypart with the highest step count. Meal timing, from a chrono-nutrition questionnaire, was defined as the daypart with the most eating occasions. Chronotype was estimated using the midpoint of sleep on free days corrected for sleep debt. Alignment reflected concordance between behaviour timing and chronotype. Confounder-adjusted logistic and linear regression models estimated associations with (pre)diabetes and with log-transformed fasting plasma glucose (FPG), 2-h post-load glucose (2hPLG), and haemoglobin A1c (HbA1c).

resultsWeekday alignment of physical activity timing with chronotype was associated with lower HbA1c (β per 20% more aligned weekdays: -0.48%, 95% CI -0.95, -0.02). Weekday meal timing alignment was associated with lower odds of prediabetes or T2DM (OR aligned vs. misaligned: 0.62, 95% CI 0.43-0.89). No significant associations were observed for weekend alignment, for FPG or 2hPLG, or for interactions between activity and meal timing alignment.

conclusionsWeekday, but not weekend, alignment of physical activity and meal timing with chronotype was modestly associated with more favourable glucose metabolism. These findings suggest a potential role of behaviour-chronotype alignment in metabolic health, warranting confirmation in prospective and intervention studies.

Indexed as

Blood GlucoseChronotypeDiabetes Mellitus, Type 2ExerciseFeeding BehaviorMealsPrediabetic StateAccelerometryAgedCircadian RhythmCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleMiddle AgedBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human2‐h post‐load glucosebehavioural alignmentchronotypefasting plasma glucoseHbA1cmeal timingphysical activity timingtype 2 diabetes

Identifiers

PMID41635142
PMCPMC12992190

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.