Evidence map›Paper›PMID 41676431›Full record

ArticleArchives of medical science : AMS2025

Timing and dose matter: a diurnal pattern of coffee consumption optimises improvement in insulin resistance.

Qianhao Zang, Zhuo Song, Xiaoxiao Zhang, Mingli Ding, Maohui Yan, Dongfang Li, Limin Meng, Gang Ren, Bowen Xu

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qianhao ZangDepartment of Radiotherapy, Air Force Medical Centre, Air Force Medical University, Beijing, China.
Zhuo SongDepartment of Radiotherapy, Air Force Medical Centre, Air Force Medical University, Beijing, China.
Xiaoxiao ZhangIntegrative Medicine Oncology Centre, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Hunan, China.
Mingli DingDepartment of Radiotherapy, Air Force Medical Centre, Air Force Medical University, Beijing, China.
Maohui YanDepartment of Radiotherapy, Air Force Medical Centre, Air Force Medical University, Beijing, China.
Dongfang LiIntegrative Medicine Oncology Centre, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Hunan, China.
Limin MengDepartment of Radiology, Air Force Medical Centre, Air Force Medical University, Beijing, China.
Gang RenDepartment of Radiotherapy, Peking University Shougang Hospital, Beijing, China.
Bowen XuIntegrative Medicine Oncology Centre, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Given insulin resistance's (IR) critical role in metabolic pathophysiology, this study aims to identify optimal coffee consumption patterns by timing and dose to improve population health. Material and methods: Multivariate logistic regression and restricted cubic splines assessed associations between coffee timing, dosage, and IR (measured by estimated glucose disposal rate) from NHANES data (1999-2018). Interaction and subgroup analyses explored variations across population segments. Results: We analysed 21,138 participants, of whom 46.79% were non-consumers. Among consumers, 76% primarily drank coffee in the morning. Morning consumption at the lowest quartile (Q1) showed significant improvement in IR (odds ratio [OR] = 1.37, 95% confidence interval [CI]: 1.16-1.62), although this benefit diminished with higher consumption levels ( Conclusions: Both morning and all-day coffee intake improve IR. For moderate consumption (1-2 cups/day), morning intake provides optimal improvement in insulin sensitivity. For higher intake (≥ 3 cups/day), distributed consumption is more effective. These findings support chrono-nutrition principles for optimising metabolic health through coffee consumption.

Indexed as

chrono-nutritioncoffee intakeestimated glucose disposal rateinsulin resistanceNational Health and Nutrition Examination Survey

Identifiers

PMID41676431
PMCPMC12887961

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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.