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China suboptimal health cohort study: rationale, design and baseline characteristics

BACKGROUND: 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...

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Autores principales: Wang, Youxin, Ge, Siqi, Yan, Yuxiang, Wang, Anxin, Zhao, Zhongyao, Yu, Xinwei, Qiu, Jing, Alzain, Mohamed Ali, Wang, Hao, Fang, Honghong, Gao, Qing, Song, Manshu, Zhang, Jie, Zhou, Yong, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5064923/
https://www.ncbi.nlm.nih.gov/pubmed/27737677
http://dx.doi.org/10.1186/s12967-016-1046-y
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author Wang, Youxin
Ge, Siqi
Yan, Yuxiang
Wang, Anxin
Zhao, Zhongyao
Yu, Xinwei
Qiu, Jing
Alzain, Mohamed Ali
Wang, Hao
Fang, Honghong
Gao, Qing
Song, Manshu
Zhang, Jie
Zhou, Yong
Wang, Wei
author_facet Wang, Youxin
Ge, Siqi
Yan, Yuxiang
Wang, Anxin
Zhao, Zhongyao
Yu, Xinwei
Qiu, Jing
Alzain, Mohamed Ali
Wang, Hao
Fang, Honghong
Gao, Qing
Song, Manshu
Zhang, Jie
Zhou, Yong
Wang, Wei
author_sort Wang, Youxin
collection PubMed
description BACKGROUND: 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. METHODS/DESIGN: 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. RESULTS: (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. CONCLUSIONS: 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.
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spelling pubmed-50649232016-10-18 China suboptimal health cohort study: rationale, design and baseline characteristics Wang, Youxin Ge, Siqi Yan, Yuxiang Wang, Anxin Zhao, Zhongyao Yu, Xinwei Qiu, Jing Alzain, Mohamed Ali Wang, Hao Fang, Honghong Gao, Qing Song, Manshu Zhang, Jie Zhou, Yong Wang, Wei J Transl Med Research BACKGROUND: 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. METHODS/DESIGN: 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. RESULTS: (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. CONCLUSIONS: 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. BioMed Central 2016-10-13 /pmc/articles/PMC5064923/ /pubmed/27737677 http://dx.doi.org/10.1186/s12967-016-1046-y Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wang, Youxin
Ge, Siqi
Yan, Yuxiang
Wang, Anxin
Zhao, Zhongyao
Yu, Xinwei
Qiu, Jing
Alzain, Mohamed Ali
Wang, Hao
Fang, Honghong
Gao, Qing
Song, Manshu
Zhang, Jie
Zhou, Yong
Wang, Wei
China suboptimal health cohort study: rationale, design and baseline characteristics
title China suboptimal health cohort study: rationale, design and baseline characteristics
title_full China suboptimal health cohort study: rationale, design and baseline characteristics
title_fullStr China suboptimal health cohort study: rationale, design and baseline characteristics
title_full_unstemmed China suboptimal health cohort study: rationale, design and baseline characteristics
title_short China suboptimal health cohort study: rationale, design and baseline characteristics
title_sort china suboptimal health cohort study: rationale, design and baseline characteristics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5064923/
https://www.ncbi.nlm.nih.gov/pubmed/27737677
http://dx.doi.org/10.1186/s12967-016-1046-y
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