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Integrative Approach to Investigate Suboptimal Health Status and Endothelial Dysfunction

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All Around Suboptimal Health

Part of the book series: Advances in Predictive, Preventive and Personalised Medicine ((APPPM,volume 18))

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Abstract

To screen and identify the preclinical reversible stages of a chronic disease, suboptimal health status (SHS) may be one of the key answers to this challenge. We identified an association between SHS and the risk factors of the cardiovascular disease and examined the correlations between SHS and endothelial dysfunction by integrating the scores of the SHS-25 Questionnaire (SHSQ-25) and measure of the indicators of endothelial dysfunction.

This cross-sectional study was conducted on 459 participants (190 males/269 females); with age 18–40 years old from Samara, Russian Federation. Participants did not have any diagnosed diseases in their clinical history, and they were not prescribed with any medical treatments in the last 2 weeks. SHSQ-25 diagnostic screening questionnaire was applied for suboptimal health status, along with assessment of the risk factors for cardiovascular disease and blood biomarkers cholesterol, glucose and serum endothelin-1. Computer photoplethysmography was used to determine the endothelial function.

Significant association of SHS with the risk factors of cardiovascular diseases was detected: smoking, overweight, total cholesterol, glucose and blood endothelin-1, which correlate with endothelial reactivity and affect the quality of life. Reactivity of blood vessels was assessed by measuring endothelial function and ischemia of the upper extremity and further confirmed by computer photoplethysmography. Reactivity of blood vessels reflects the blood circulation based on the systemic function of the vascular endothelium that is associated the cardiovascular risk factors such as age, gender, body weight index, nature of work activity and blood pressure.

The current study aimed to integrate SHS with the endothelial function to create a new tool for screening cardiovascular risks in the context of preventive, predictive and personalised medicine (PPPM/3PM) for prompting cardiovascular health.

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Abbreviations

BMI:

Body mass index

DBP:

Diastolic blood pressure

ET-1:

Enddothelin-1

GLU:

Plasma glucose

IEF:

Index of the endothelial function

IR:

Index of reflection at the baseline

IR2:

Index of reflection of the second measure

IS:

Stiffness index at the baseline

IS2:

Stiffness index of the second measure

NO:

Nitric oxide

PPPM/3 PM:

Predictive, preventive, and personalised medicine

SBP:

Systolic blood pressure

SHS:

Suboptimal health status

SHSQ-25:

Suboptimal health status-25 questionnaire

TCH:

Total cholesterol

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Author information

Authors and Affiliations

  1. Samara State Medical University, Russian Federation, Samara, Russia

    Vitalii Kupaev

  2. National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan

    Madina Zhalbinova

  3. Department of Neurology, Beijing Tiantan Hospital, Centre for Cognitive Neurology, Capital Medical University, Beijing, China

    Wei Zhang

Authors
  1. Vitalii Kupaev
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  2. Madina Zhalbinova
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  3. Wei Zhang
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Editor information

Editors and Affiliations

  1. Centre for Precision Health, Edith Cowan University, Perth, Australia

    Wei Wang

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Kupaev, V., Zhalbinova, M., Zhang, W. (2024). Integrative Approach to Investigate Suboptimal Health Status and Endothelial Dysfunction. In: Wang, W. (eds) All Around Suboptimal Health . Advances in Predictive, Preventive and Personalised Medicine, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-031-46891-9_10

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