Evidence map›Paper›PMID 40797331›Full record

ArticleNutrition & metabolism2025

Chronotype-specific associations of meal timing patterns with cardiometabolic health in women: a cross-sectional study.

Azadeh Lesani, Neda Soveid, Cain C T Clark, Bahar Barkhidarian, Fatemeh Gholami, Mansooreh Sadat Mojani-Qomi

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Azadeh LesaniDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran. a_lesani@alumnus.tums.ac.ir.
Neda SoveidDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Cain C T ClarkFaculty of Health, Education, and Life Sciences, City South Campus, Birmingham City University, Birmingham, UK.
Bahar BarkhidarianDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Fatemeh GholamiCardiovascular Research Center, Hormozgan University of Medical Science, Bandar Abbas, Iran.
Mansooreh Sadat Mojani-QomiDepartment of Food Science and Technology, TeMS.C., Islamic Azad University, Tehran, Iran. mojani@iau.ac.ir.

Funding

Islamic Azad University 39052
6 · The paper itself

Abstract

backgroundAlthough prior studies have examined meal timing and health, few have considered the impact of individual chronotypes and diurnal preference. This study explored how meal distribution and chronotype-morning (M-type) versus evening (E-type)- are associated with cardiometabolic health.

methodsA cross-sectional study was conducted among 574 women in Tehran, Iran. Dietary intake was assessed through three 24-hour recalls and chronotype was determined via the Morningness-Eveningness Questionnaire. Cardiometabolic markers-including blood pressure (BP), glucose, lipids, insulin, and high-sensitivity C-reactive protein (hs-CRP)-were measured.

resultsIn E-type individuals, higher breakfast energy intake was linearly associated with lower systolic [β 95% CI, -0.03 (-0.05

conclusionAligning energy intake with wake-up time-rather than delaying meals-may benefit evening chronotypes prone to circadian misalignment. Moderate breakfast and afternoon intake, with lower dinner intake, was related to better cardiometabolic health. Accordingly, longitudinal studies are advocated.

Indexed as

Cardiometabolic risk factorChronotypeCircadian misalignmentDiurnal preferenceMealtimeObesity

Identifiers

PMID40797331
PMCPMC12341138

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LicenceCC BY-NC-ND
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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.