Evidence map›Paper›PMID 42588170›Full record

ReviewNutrients2026

Dietary Behavior, Physical Activity, and 24-Hour Rhythm Coherence: A Digital Phenotyping Perspective on Vascular and Glycemic Health.

Guilong Sun, Xiangyu Jia, Hao Zhang, Ruida Yu, Siyu Rong, Yuyang Liu, Yufei Qi, Shengyi Chen

Abstract readReview
In one paragraph

Review in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Guilong SunSchool of Physical Education, Central-South Minzu University, Wuhan 430074, China.
Xiangyu JiaSchool of Ethnology and Sociology, Central-South Minzu University, Wuhan 430074, China.
Hao ZhangDepartment of Physical Education and Research, Central South University, Changsha 410083, China.ORCID 0009-0002-4983-0841
Ruida YuDepartment of Physical Education and Research, Central South University, Changsha 410083, China.ORCID 0009-0000-6058-5686
Siyu RongDepartment of Physical Education and Research, Central South University, Changsha 410083, China.
Yuyang LiuSchool of Physical Education, Hainan Normal University, Haikou 571158, China.ORCID 0009-0005-3265-1830
Yufei QiDepartment of Physical Education and Research, Central South University, Changsha 410083, China.ORCID 0000-0002-8623-6692
Shengyi ChenSchool of Sports Economics and Management, Central University of Finance and Economics, Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiometabolic risk is shaped not only by the amount of food intake and physical activity but also by their timing and regularity across the 24 h cycle. We propose rhythm coherence as a hypothesis-generating framework describing the temporal stability and alignment of eating, physical activity, and sleep. Its vascular and glycemic relevance has not yet been prospectively validated.

methodsThis semi-structured narrative review was supported by a transparent, staged evidence-identification process using PubMed, Scopus, and Web of Science Core Collection. Main searches used a 2020-2026 window, with a broader 2018-2026 window for targeted athlete-focused searches. After cross-database deduplication, 1081 unique records entered broad screening; 694 underwent strict screening, yielding 257 core candidate records. A targeted athlete-focused search contributed 46 additional records, producing a 303-record candidate evidence pool for topic mapping. From this pool, 131 high-priority records underwent full-text narrative synthesis, and 92 sources were ultimately cited directly in the manuscript. These counts represent successive review stages rather than a PRISMA-defined systematic-review inclusion set.

resultsEarlier or more regular eating patterns, postprandial physical activity, and stable sleep-wake schedules were associated with more favorable cardiometabolic profiles in selected studies. However, the evidence was heterogeneous and included mechanistic studies, observational analyses, and intervention trials. These findings support further investigation but do not establish an effect of integrated eating-activity-sleep coherence. Numerical effects reported for individual interventions should not be attributed to the proposed integrated framework or to the Rhythm Coherence Index (RCI).

conclusionsCoordinated assessment of eating, activity, and sleep timing may offer a useful research direction. The RCI is an author-proposed candidate composite, not an existing validated instrument or clinical decision rule. Its formula, component weights, missing-data procedures, thresholds, reliability, responsiveness, predictive value, and external validity require prospective evaluation before clinical application can be considered.

Indexed as

Blood GlucoseCircadian RhythmDietExerciseFeeding BehaviorDigital HealthHumansPhenotypeSleepBlood Glucosearterial stiffnesscardiometabolic healthchrononutritioncircadian rhythmglycemic variabilityphysical activity timingtime-restricted eatingwearable biosensors

Identifiers

PMID42588170
PMCPMC13468063

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.