Evidence map›Paper›PMID 41473725›Full record

ArticleFrontiers in public health2025

Analysis of heart rate variability and its influencing factors in different blood pressure groups in Changchun City.

YuHang Guo, Jian Li, Feng Guo, HaoRan Sun, YiJin Ning, XinYe Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

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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

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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

6 authors.

YuHang GuoSchool of Clinical Medicine, Changchun University of Chinese Medicine, Changchun, China.
Jian LiOffice of the Ethics Committee, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Feng GuoSchool of Clinical Medicine, Changchun University of Chinese Medicine, Changchun, China.
HaoRan SunSchool of Clinical Medicine, Changchun University of Chinese Medicine, Changchun, China.
YiJin NingSchool of Clinical Medicine, Changchun University of Chinese Medicine, Changchun, China.
XinYe WangSchool of Management, Changchun University of Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the Heart rate variability (HRV) in different blood pressure populations, analyze its influencing factors, rank their importance, and propose targeted health strategies. Methods: A total of 240 individuals with different blood pressure levels were recruited from a group in Changchun City, Jilin Province, using cluster sampling. Heart rate variability was assessed using the DHD-6000 HRV detector, and influencing factors were evaluated through questionnaires such as the "Health Risk Assessment Questionnaire," Pittsburgh Sleep Quality Index (PSQI), Subjective Cognitive Decline Questionnaire (SCD-Q9), Generalized Anxiety Disorder 7-item scale (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). Additionally, medical electronic sphygmomanometers (YXY-6) were used to collect blood pressure values. The study comprehensively evaluated Heart rate variability and its influencing factors in different blood pressure populations. Results: Among the different blood pressure populations in Changchun City, 12 individuals had hypotension (5.0%), 121 had normal blood pressure (50.4%), 87 had prehypertension (36.3%), and 20 had hypertension (8.3%). The detection rate of low TP was 30.4%, indicating weakened autonomic nervous system regulation in this population. Random forest model variable importance ranking showed that hyperlipidemia had the most significant impact on this population. Multivariate linear regression analysis revealed that blood pressure, lipids, marital status, alcohol consumption, age, and exercise had statistically significant effects on Heart rate variability ( Conclusion: Heart rate variability is influenced by multiple factors including lifestyle, blood pressure, lipids, age, and marital status. Among these, hyperlipidemia has the greatest impact on Heart rate variability. Compared to individuals with normal blood pressure, those with prehypertension and hypertension exhibit reduced autonomic nervous system activity and regulatory function. It is recommended to develop reasonable exercise plans, improve unhealthy lifestyle behaviors, control blood pressure and lipids, enhance autonomic nervous system function, and reduce the risk of cardiovascular events.

Indexed as

Blood PressureHeart RateHypertensionAdultAgedChinaFemaleHumansMaleMiddle AgedPrehypertensionRisk FactorsSurveys and Questionnairesautonomic nervous system functionblood pressure populationcardiovascular event riskdisease preventionhealth education and health promotionheart rate variability

Identifiers

PMID41473725
PMCPMC12745292

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LicenceCC BY
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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.