32
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      All around suboptimal health — a joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine

      research-article
      1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , , 2 , 5 , 6 , 7 , 8 , 9 , 1 , 5 , 6 , 7 , 8 , 9 , 1 , 3 , 5 , 6 , 7 , 8 , 9 , 1 , 5 , 6 , 7 , 8 , 9 , 4 , 5 , 6 , 7 , 8 , 9 , 1 , 5 , 6 , 7 , 8 , 9 , 10 , 4 , 5 , 6 , 7 , 8 , 9 , 1 , 5 , 6 , 7 , 8 , 9 , 5 , 6 , 7 , 8 , 9 , 11 , 5 , 6 , 7 , 8 , 9 , 12 , 5 , 6 , 7 , 8 , 9 , 13 , 1 , 2 , 5 , 6 , 7 , 8 , 10 , 2 , 5 , 6 , 7 , 8 , 9 , 5 , 6 , 7 , 8 , 9 , 14 , , On Behalf of Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine
      The EPMA Journal
      Springer International Publishing
      Predictive preventive personalised medicine (PPPM/3PM), Suboptimal health status (SHS), Traditional medicine, Body mass index (BMI), Multi-level diagnostics, Omics, Glycan, Liquid biopsy, Modifiable preventable risks, Risk assessment, Communicable, Non-communicable diseases, Adolescence, Stress overload, Cardiovascular disease, Cancers, Neurologic diseases, Mood disorders, Microbiome, Periodontal health, Natural substances, Lifestyle, Dietary habits, Behavioural patterns, Sleep medicine, Individualised patient profile, Artificial intelligence (AI), Multi-parametric analysis, Big data management, Medical ethics, Health economy, Health policy, Epidemics, Pandemics, COVID-19

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          First two decades of the twenty-first century are characterised by epidemics of non-communicable diseases such as many hundreds of millions of patients diagnosed with cardiovascular diseases and the type 2 diabetes mellitus, breast, lung, liver and prostate malignancies, neurological, sleep, mood and eye disorders, amongst others. Consequent socio-economic burden is tremendous. Unprecedented decrease in age of maladaptive individuals has been reported. The absolute majority of expanding non-communicable disorders carry a chronic character, over a couple of years progressing from reversible suboptimal health conditions to irreversible severe pathologies and cascading collateral complications. The time-frame between onset of SHS and clinical manifestation of associated disorders is the operational area for an application of reliable risk assessment tools and predictive diagnostics followed by the cost-effective targeted prevention and treatments tailored to the person.

          This article demonstrates advanced strategies in bio/medical sciences and healthcare focused on suboptimal health conditions in the frame-work of Predictive, Preventive and Personalised Medicine (3PM/PPPM). Potential benefits in healthcare systems and for society at large include but are not restricted to an improved life-quality of major populations and socio-economical groups, advanced professionalism of healthcare-givers and sustainable healthcare economy. Amongst others, following medical areas are proposed to strongly benefit from PPPM strategies applied to the identification and treatment of suboptimal health conditions:

          • Stress overload associated pathologies

          • Male and female health

          • Planned pregnancies

          • Periodontal health

          • Eye disorders

          • Inflammatory disorders, wound healing and pain management with associated complications

          • Metabolic disorders and suboptimal body weight

          • Cardiovascular pathologies

          • Cancers

          • Stroke, particularly of unknown aetiology and in young individuals

          • Sleep medicine

          • Sports medicine

          • Improved individual outcomes under pandemic conditions such as COVID-19.

          Related collections

          Most cited references148

          • Record: found
          • Abstract: found
          • Article: not found

          Inflammaging: a new immune–metabolic viewpoint for age-related diseases

          Ageing and age-related diseases share some basic mechanistic pillars that largely converge on inflammation. During ageing, chronic, sterile, low-grade inflammation - called inflammaging - develops, which contributes to the pathogenesis of age-related diseases. From an evolutionary perspective, a variety of stimuli sustain inflammaging, including pathogens (non-self), endogenous cell debris and misplaced molecules (self) and nutrients and gut microbiota (quasi-self). A limited number of receptors, whose degeneracy allows them to recognize many signals and to activate the innate immune responses, sense these stimuli. In this situation, metaflammation (the metabolic inflammation accompanying metabolic diseases) is thought to be the form of chronic inflammation that is driven by nutrient excess or overnutrition; metaflammation is characterized by the same mechanisms underpinning inflammaging. The gut microbiota has a central role in both metaflammation and inflammaging owing to its ability to release inflammatory products, contribute to circadian rhythms and crosstalk with other organs and systems. We argue that chronic diseases are not only the result of ageing and inflammaging; these diseases also accelerate the ageing process and can be considered a manifestation of accelerated ageing. Finally, we propose the use of new biomarkers (DNA methylation, glycomics, metabolomics and lipidomics) that are capable of assessing biological versus chronological age in metabolic diseases.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2019

            (2018)
            The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Construct validity in psychological tests.

                Bookmark

                Author and article information

                Contributors
                wei.wang@ecu.edu.au
                Olga.Golubnitschaja@ukbonn.de
                Journal
                EPMA J
                EPMA J
                The EPMA Journal
                Springer International Publishing (Cham )
                1878-5077
                1878-5085
                13 September 2021
                13 September 2021
                : 1-31
                Affiliations
                [1 ]GRID grid.1038.a, ISNI 0000 0004 0389 4302, Centre for Precision Health, , Edith Cowan University, ; Perth, Australia
                [2 ]GRID grid.24696.3f, ISNI 0000 0004 0369 153X, Beijing Key Laboratory of Clinical Epidemiology, , Capital Medical University, ; Beijing, China
                [3 ]School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
                [4 ]GRID grid.411679.c, ISNI 0000 0004 0605 3373, First Affiliated Hospital, , Shantou University Medical College, ; Shantou, China
                [5 ]Suboptimal Health Study Consortium, Kumasi, Ghana
                [6 ]Suboptimal Health Study Consortium, Perth, Australia
                [7 ]Suboptimal Health Study Consortium, Beijing, China
                [8 ]Suboptimal Health Study Consortium, Bonn, Germany
                [9 ]European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
                [10 ]GRID grid.9829.a, ISNI 0000000109466120, Department of Medical Diagnostics, , College of Health Science, Kwame Nkrumah University of Science and Technology, ; Kumasi, Ghana
                [11 ]GRID grid.256922.8, ISNI 0000 0000 9139 560X, School of Nursing and Health, , Henan University, ; Kaifeng, China
                [12 ]Institute of Chinese Acuology, Perth, Australia
                [13 ]GRID grid.410736.7, ISNI 0000 0001 2204 9268, School of Basic Medicine, Harbin Medical University, ; Harbin, China
                [14 ]GRID grid.10388.32, ISNI 0000 0001 2240 3300, Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, , University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, ; Bonn, Germany
                Article
                253
                10.1007/s13167-021-00253-2
                8435766
                34539937
                b9cc5889-6879-4a47-9f38-bf4bc6e084ee
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 July 2021
                : 25 August 2021
                Funding
                Funded by: Rheinische Friedrich-Wilhelms-Universität Bonn (1040)
                Categories
                Research

                Molecular medicine
                predictive preventive personalised medicine (pppm/3pm),suboptimal health status (shs),traditional medicine,body mass index (bmi),multi-level diagnostics,omics,glycan,liquid biopsy,modifiable preventable risks,risk assessment,communicable,non-communicable diseases,adolescence,stress overload,cardiovascular disease,cancers,neurologic diseases,mood disorders,microbiome,periodontal health,natural substances,lifestyle,dietary habits,behavioural patterns,sleep medicine,individualised patient profile,artificial intelligence (ai),multi-parametric analysis,big data management,medical ethics,health economy,health policy,epidemics,pandemics,covid-19

                Comments

                Comment on this article