Skip to content
DraconiticResearch
Search Sources API
181,716 studies31 sourcesUpdated 36 min ago
Peer-reviewedCC BYFrontiers in endocrinology

Coupling characteristics of endocrine regulation and system function under massage interventions.

  • Xiangting Lao1,2
  • Jin Yang3
  • Ting Huang4
  • Bingcai Long1
  • Wei Liao3
  • Yufeng He3
4 affiliations
  1. 1The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  2. 2Guangxi University of Chinese Medicine Graduate School, Nanning, Guangxi, China.
  3. 3First Affiliated Hospital of the Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
  4. 4Faculty of Chinese Medicine Science Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Read full textPDFDOICite

Abstract

Introduction

Massage may influence stress related endocrine activity and systemic physiological function, but its dynamic regulatory effects remain difficult to quantify.Methods

This study develops a VariationalMotionBayesian framework to model endocrine related physiological responses under massage intervention. The framework combines mathematical formulation of coupled endocrine and systemic variables, variational latent representation learning, motion field estimation, Bayesian evidence aggregation, and physiological constraint regularization. Multimodal wearable physiological time series are used to infer latent regulatory states and predict individual stress status.Results and discussion

Experiments on WESAD and SWELL-KW show that the proposed model outperforms conventional machine learning, deep learning, and time series classification baselines in Accuracy, Macro F1, Balanced Accuracy, and AUROC. A controlled human massage intervention pilot study further shows coordinated changes in salivary cortisol, salivary alpha amylase, heart rate, RMSSD, electrodermal activity, respiration rate, and skin temperature after massage, and these measured responses are correlated with model derived latent dynamics. These results indicate that the proposed framework can capture physiologically meaningful temporal responses and provide a computational tool for analyzing endocrine related system regulation under massage intervention.

Related

  1. From movement to mood regulation: exercise-based digital interventions using mobile health and ecological momentary assessment for mental health and cognitive function in older adults: a narrative review
    Wenjie Wu
    Frontiers in psychiatryPeer-reviewedCC BYFull textPhysiologyEurope PMCCrossref
  2. P4HA1 sustains endocrine resistance in luminal breast cancer via regulation of cellular stress
    D. Hironaka, B. Kang, D. Kim +4
    bioRxivPreprintAll rights reservedFull textOncologybioRxiv
  3. Does the aging skeletal muscle maintain its endocrine function?
    Pedersen, M, Adam Steensberg, Charlotte Keller +5
    PubMedPeer-reviewedLicence not stated50 citedGeneral medicineOpenAlex
  4. Time of day metabolism and endocrine regulation of immune health
    Ashok Hattangady, Virender Singh, Chirag Gala +3
    Frontiers in Molecular MedicinePeer-reviewedCC BYFull textPhysiologyDOAJ
  5. Endocrine and Metabolic Characteristics and Prognosis of Long COVID Following SARS-CoV-2 Infection During the Omicron Period
    Daisuke Omura, Yoshiaki Soejima, Yuki Otsuka +11
    Journal of Clinical MedicinePeer-reviewedCC BY 4.0General medicineCrossref

Cite

BibTeXRIS
BibTeX
@article{lao2026coupling,
  title = {{Coupling characteristics of endocrine regulation and system function under massage interventions.}},
  author = {Xiangting Lao and Jin Yang and Ting Huang and Bingcai Long and Wei Liao and Yufeng He},
  journal = {Frontiers in endocrinology},
  year = {2026},
  month = oct,
  doi = {10.3389/fendo.2026.1885282},
  url = {https://europepmc.org/article/MED/42908600},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Coupling characteristics of endocrine regulation and system function under massage interventions.
AU  - Xiangting Lao
AU  - Jin Yang
AU  - Ting Huang
AU  - Bingcai Long
AU  - Wei Liao
AU  - Yufeng He
PY  - 2026
DA  - 2026/10/07
JO  - Frontiers in endocrinology
DO  - 10.3389/fendo.2026.1885282
UR  - https://europepmc.org/article/MED/42908600
AB  - Introduction  Massage may influence stress related endocrine activity and systemic physiological function, but its dynamic regulatory effects remain difficult to quantify.Methods  This study develops a VariationalMotionBayesian framework to model endocrine related physiological responses under massage intervention. The framework combines mathematical formulation of coupled endocrine and systemic variables, variational latent representation learning, motion field estimation, Bayesian evidence aggregation, and physiological constraint regularization. Multimodal wearable physiological time series are used to infer latent regulatory states and predict individual stress status.Results and discussion  Experiments on WESAD and SWELL-KW show that the proposed model outperforms conventional machine learning, deep learning, and time series classification baselines in Accuracy, Macro F1, Balanced Accuracy, and AUROC. A controlled human massage intervention pilot study further shows coordinated changes in salivary cortisol, salivary alpha amylase, heart rate, RMSSD, electrodermal activity, respiration rate, and skin temperature after massage, and these measured responses are correlated with model derived latent dynamics. These results indicate that the proposed framework can capture physiologically meaningful temporal responses and provide a computational tool for analyzing endocrine related system regulation under massage intervention.
SN  - 1664-2392
ER  -