Evidence map›Paper›PMID 42670450›Full record

ArticleInternational journal of hypertension2026

The Relationship Between Weekend Catch-Up Sleep and Hypertension: Insights From the National Health and Nutrition Examination Survey, 2017-2023.

Han Chen, Qiang Tong, Lu Chai, Yongqi Shan

Abstract read
In one paragraph

Article in International journal of hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Han ChenDepartment of Pharmacy, General Hospital of Northern Theater Command (General Hospital of Shenyang Military Command), Shenyang 110016, Liaoning, China.ORCID https://orcid.org/0000-0002-1525-392X
Qiang TongDepartment of Pharmacy, General Hospital of Northern Theater Command (General Hospital of Shenyang Military Command), Shenyang 110016, Liaoning, China.ORCID https://orcid.org/0000-0003-2451-5415
Lu ChaiDepartment of Pharmacy, General Hospital of Northern Theater Command (General Hospital of Shenyang Military Command), Shenyang 110016, Liaoning, China.ORCID https://orcid.org/0000-0003-3957-8072
Yongqi ShanDepartment of General Surgery, General Hospital of Northern Theater Command (General Hospital of Shenyang Military Command), Shenyang 110016, Liaoning, China.ORCID https://orcid.org/0009-0003-4834-024X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sleep deprivation is associated with an increased risk of hypertension (HTN), and many individuals practice weekend catch-up sleep (WCS). However, evidence of an association between WCS and HTN in adults in the United States remains limited. This study examines this relationship using a nationally representative sample. Methods: Data from NHANES 2017-2023 (16,268 adults aged ≥ 20 years) were analyzed. The WCS was defined as weekend sleep minus weekday sleep. Multivariate logistic regression was used to adjust for sociodemographic, lifestyle, and metabolic factors. WCS was examined as a binary (> 0 vs. ≤ 0 h), continuous, and categorical (≤ 0, 0-1, 1-2, 2-3, and ≥ 3 h) variable. Subgroup analyses were exploratory and not corrected for multiple testing. Results: In the fully adjusted models, neither the binary nor continuous WCS duration was significantly associated with HTN ( Conclusion: In this large cross-sectional study, the WCS was not robustly associated with HTN. The isolated finding of 0-1 h of WCS requires confirmation in prospective studies and should not be interpreted as evidence for a preventive or therapeutic strategy.

Indexed as

American adultshypertensionsubgroup analysisweekend catch-up sleep

Identifiers

PMID42670450
PMCPMC13526226

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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.