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Tools of Predictive Diagnostics: Status Quo and Outlook

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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

Suboptimal health status (SHS) refers to the intermediate state between health and disease. When a person has SHS, there are no obvious or specific clinical manifestations and relevant laboratory indicators are not helpful, making SHS difficult to assess. SHS mainly manifests itself in the early stages of various chronic health conditions. Appropriate diagnostic tools are therefore essential for the proper assessment and intervention of SHS and for maintaining the health of the population. Research into the subjective and objective assessment and quantitative diagnosis of SHS is still in its infancy, and the main predictive diagnostic tools for SHS include subjective measures, i.e., health questionnaires and scales, and objective measures: laboratory-based biological, biochemical and molecular biology tests and big data analysis. The subjective method could reflect self-perceived SHS conveniently and the objective way is able to realise more precise evaluation. Each kind of assessment method has either advantages or disadvantages. It is imperative to develop an effective, precise, economical SHS assessment system to promote optimal health status. Subjective methods can easily reflect self-perceived SHS, whereas objective methods can provide a more accurate assessment. Each method of assessment has its advantages and disadvantages. It is therefore important to develop a valid, accurate and cost-effective SHS assessment system that promotes optimal health.

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Abbreviations

AUC:

The area under the receiver operating characteristic curve

CFS:

Chronic fatigue syndrome

CI:

Confidence interval

MSQA:

The multidimensional sub-health questionnaire for adolescents

PPI:

Protein–protein interaction

PPPM:

Predictive, preventive, and personalised medicine

QOL:

Quality of life

RTL:

Relative telomere length

SHMS V1.0:

The sub-health measurement scale V1.0

SHS:

Suboptimal health status

SHSQ-25:

The suboptimal health status questionnaire-25

SSS:

The sub-health self assessment scale

T2DM:

Type 2 diabetes mellitus

TGF-B1:

Transforming growth factor-β1

WHO:

The World Health Organisation

WHOQOL-100:

The WHO Quality of Life-100

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Authors and Affiliations

  1. Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, China

    Bo Li

  2. School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

    Bingbing Li

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  1. Bo Li
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Correspondence to Bo Li .

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Editors and Affiliations

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

    Wei Wang

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Li, B., Li, B. (2024). Tools of Predictive Diagnostics: Status Quo and Outlook. 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_5

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