Evidence map›Paper›PMID 40688902›Full record

ArticleCureus2025

Protective Factors Against Hypertension: A Retrospective Population-Based Analysis of Resilience in High-Risk Groups.

Chekwube M Obianyo, Patra C Ezeamii, Mahfuza Akter, Jennifer C Mbonu, Anthonia N Njoku, Ebele Mary Nwosu, Okelue E Okobi

Abstract read
In one paragraph

Article in Cureus, 2025. 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

7 authors.

Chekwube M ObianyoJiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USA.
Patra C EzeamiiJiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USA.
Mahfuza AkterDepartment of Medicine, Sylhet Muhammad Ataul Gani (MAG) Osmani Medical College, Sylhet, BGD.
Jennifer C MbonuDepartment of Social Work, Hennepin Healthcare, Minneapolis, USA.
Anthonia N NjokuSpine Clinic, University of Texas (UT) Southwestern Medical Center, Frisco, USA.
Ebele Mary NwosuDepartment of Family Medicine, Active Care Medical Centre, London, CAN.
Okelue E OkobiDepartment of Family Medicine, IMG Research Academy and Consulting LLC, Homestead, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background While risk factors for hypertension (HTN) are well-known, some high-risk individuals remain free of the condition, suggesting the presence of protective factors. Objective The objective of this study is to identify protective factors associated with resistance to hypertension among high-risk individuals using National Health and Nutrition Examination Survey (NHANES) data. Methods A retrospective, cross-sectional analysis was conducted using NHANES data from 2007 to 2018. Multivariable logistic regression was used to examine the links between hypertension and possible protective factors such as high-density lipoprotein (HDL) cholesterol, sleep duration, and dietary fiber intake (DFI) while taking into account age, gender, and race/ethnicity. Results Higher HDL cholesterol and longer sleep duration were significantly associated with reduced odds of hypertension. Dietary fiber intake was not independently associated after adjustment. Conclusion HDL cholesterol and adequate sleep appear to offer protective effects against hypertension. Further studies should include genetic markers, inflammatory biomarkers, and omega-3 fatty acids to better understand biological resilience to hypertension.

Indexed as

dietary fiberhdlhypertensionnhanesprotective factorsresiliencesleep

Identifiers

PMID40688902
PMCPMC12276636

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Registered trials

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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.