Youxin Wang, Edith Cowan University
Siqi Ge, Edith Cowan UniversityFollow
Yuxiang Yan, Edith Cowan University
Anxin Wang, Capital Medical University China
Zhongyao Zhao, Capital Medical University China
Xinwei Yu, Edith Cowan University
Jing Qui, Ningxia Medical College
Mohamed Ali Alzain, Capital Medical University China
Hao Wang, Capital Medical University China
Honghong Fang, Capital Medical University China
Qing Gao, Capital Medical University China
Manshu Song, Capital Medical University China
Jie Zhang, Capital Medical University China
Yong Zhou, Capital Medical University China
Wei Wang, Edith Cowan UniversityFollow
BioMed Central Ltd
Place of Publication
School of Medical and Health Sciences
Joint Project of the Australian National Health and Medical Research Council and the National Natural Science Foundation of China (NHMRC APP1112767-NSFC 81561128020)
National Natural Science Foundation of China (81370083, 81673247, 81273170, 81573215)
Beijing Nova Program (Z141107001814058)
National Key Technology Support Program of China (2012BAI37B03)
China Scholarship Council (CSC-2015)
NHMRC Number : 1112767
Suboptimal health status (SHS) is a physical state between health and disease, characterized by the perception of health complaints, general weakness, chronic fatigue and low energy levels. SHS is proposed by the ancient concept of traditional Chinese medicine (TCM) from the perspective of preservative, predictive and personalized (precision) medicine. We previously created the suboptimal health status questionnaire 25 (SHSQ-25), a novel instrument to measure SHS, validated in various populations. SHSQ-25 thus affords a window of opportunity for early detection and intervention, contributing to the reduction of chronic disease burdens.
To investigate the causative effect of SHS in non-communicable chronic diseases (NCD), we initiated the China suboptimal health cohort study (COACS), a longitudinal study starting from 2013. Phase I of the study involved a cross-sectional survey aimed at identifying the risk/protective factors associated with SHS; and Phase II: a longitudinal yearly follow-up study investigating how SHS contributes to the incidence and pattern of NCD.
(1) Cross-sectional survey: in total, 4313 participants (53.8 % women) aged from 18 to 65 years were included in the cohort. The prevalence of SHS was 9.0 % using SHS score of 35 as threshold. Women showed a significantly higher prevalence of SHS (10.6 % in the female vs. 7.2 % in the male, P < 0.001). Risk factors for chronic diseases such as socioeconomic status, marital status, highest education completed, physical activity, salt intake, blood pressure and triglycerides differed significantly between subjects of SHS (SHS score ≥ 35) and those of ideal health (SHS score < 35). (2) Follow up: the primary and secondary outcomes will be monitored from 2015 to 2024.
The sex-specific difference in prevalence of SHS might partly explain the gender difference of incidence of certain chronic diseases. The COACS will enable a thorough characterization of SHS and establish a cohort that will be used for longitudinal analyses of the interaction between the genetic, lifestyle and environmental factors that contribute to the onset and etiology of targeted chronic diseases. The study together with the designed prospective cohort provides a chance to characterize and evaluate the effect of SHS systemically, and it thus generates an unprecedented opportunity for the early detection and prevention of chronic disease.
Ge, S. (2019). Screening of multi-omics biomarkers for Type 2 Diabetes Mellitus among Chinese population. https://ro.ecu.edu.au/theses/2293
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