Bidirectional Associations Between Blood Glucose and Blood Pressure: A Data-Driven Causal Analysis Using Structural Equation Modelling and Granger Causality on NHANES Longitudinal Data

Irina Naskinova, Mikhail Kolev, Mariyan Milev, Hristo Kalinov, Meglena Lazarova, Stanislava Stoilova, Iveta Nikolova

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DOI: 10.3390/jcm15103751
Published: 2026-05-13
Container: Journal of Clinical Medicine
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/jcm15103751,
  title = {Bidirectional Associations Between Blood Glucose and Blood Pressure: A Data-Driven Causal Analysis Using Structural Equation Modelling and Granger Causality on NHANES Longitudinal Data},
  author = {Irina Naskinova and Mikhail Kolev and Mariyan Milev and Hristo Kalinov and Meglena Lazarova and Stanislava Stoilova and Iveta Nikolova},
  year = {2026},
  journal = {Journal of Clinical Medicine},
  doi = {10.3390/jcm15103751},
  url = {https://doi.org/10.3390/jcm15103751}
}

RIS

TY  - JOUR
TI  - Bidirectional Associations Between Blood Glucose and Blood Pressure: A Data-Driven Causal Analysis Using Structural Equation Modelling and Granger Causality on NHANES Longitudinal Data
AU  - Irina Naskinova
AU  - Mikhail Kolev
AU  - Mariyan Milev
AU  - Hristo Kalinov
AU  - Meglena Lazarova
AU  - Stanislava Stoilova
AU  - Iveta Nikolova
PY  - 2026
JO  - Journal of Clinical Medicine
DO  - 10.3390/jcm15103751
UR  - https://doi.org/10.3390/jcm15103751
ER  -

APA

Naskinova, I., Kolev, M., Milev, M., Kalinov, H., Lazarova, M., Stoilova, S., & Nikolova, I. (2026). Bidirectional Associations Between Blood Glucose and Blood Pressure: A Data-Driven Causal Analysis Using Structural Equation Modelling and Granger Causality on NHANES Longitudinal Data. Journal of Clinical Medicine. https://doi.org/10.3390/jcm15103751

Source records

crossref · retrieved 2026-09-26T00:26:31.273Z