Evidence map›Paper›PMID 41413923›Full record

ArticleBMC psychology2025

The relationship between heart rate variability and baseline state anxiety during stress and recovery.

Yifei Xu, Yanping Wei, Moya Xu, Huiling Zhou, Jing Zheng, Hang Chen, Shulin Chen, Wanlin Chen

Abstract read
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Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yifei XuCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Yanping WeiHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
Moya XuDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Huiling ZhouDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Jing ZhengCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Hang ChenCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Shulin ChenDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Wanlin ChenSchool of Medicine, Hangzhou City University, Hangzhou, China. chenwanlin@zju.edu.cn.ORCID http://orcid.org/0000-0003-3008-8413

Funding

Scientific Research Foundation of Hang Zhou City University No. QD2025017
6 · The paper itself

Abstract

backgroundBaseline state anxiety, which reflects an individual’s initial anxiety level before stressors, offers an important perspective for understanding how pre-existing anxiety influences responses to subsequent stressors.

methodsThis study investigated physiological changes in 59 participants grouped by low (n = 32, LbSA group) and high (n = 27, HbSA group) baseline state anxiety levels, measured using the Short State Anxiety Inventory. Participants underwent three phases: baseline (T1), the modified Trier Social Stress Test (TSST) task (T2), and recovery (T3). ECG signals were recorded and six heart rate variability (HRV) features were analyzed across time, frequency, and non-linear domains using a mixed linear model.

resultsIn T2, the LbSA group showed significantly increased SDNN (t= 2.662, p= 0.027) and decreased RR_Mean (t= -6.819, p< 0.001) and SampEn (t= -2.985, p= 0.010). In contrast, the HbSA group only showed a decreased RR_Mean (t= -5.641, p< 0.001). In T3, the HRV changes in the LbSA group rebounded, whereas the HbSA group did not, resulting in significantly increased SDNN (t= 3.187, p= 0.006), RMSSD (t= 3.719, p= 0.001) and LnLF (t= 3.800, p= 0.001). Additionally, between-group differences reached significance for SampEn in T2 (t= 1.301, p= 0.044) and for SDNN (t= 2.215, p= 0.036) and RMSSD (t= 2.209, p= 0.046) in T3.

conclusionCompared to the individuals with low baseline state anxiety, which shows rapid changes under stress and quick recovery afterward, the individuals with high baseline state anxiety exhibit blunted and prolonged responses. The findings highlight the potential influence of baseline state anxiety on autonomic regulatory capacity, suggesting the importance of modulating state anxiety.

Indexed as

AnxietyHeart RateStress, PsychologicalAdultElectrocardiographyFemaleHumansMaleYoung AdultBaseline state anxietyHeart rate variabilityRecoveryStressTrier Social Stress Test

Identifiers

PMID41413923
PMCPMC12829249

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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.