A protocol of Chinese expert consensuses for the management of health risk in the general public

IntroductionNon-communicable diseases (NCDs) represent the leading cause of mortality and disability worldwide. Robust evidence has demonstrated that modifiable lifestyle factors such as unhealthy diet, smoking, alcohol consumption and physical inactivity are the primary causes of NCDs. Although a s...

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Main Authors: Danni Wang, Qiangsheng He, Bin Xia, Jie Zheng, Wangnan Cao, Shaochen Su, Fulan Hu, Jiang Li, Yuelun Zhang, Zhengjia Ren, Xue Li, Xinyin Wu, Yafang Huang, Yongjiang Tang, Fuxin Wei, Huachun Zou, Huaili Jiang, Junjie Huang, Wenbo Meng, Ming Bai, Kehu Yang, Jinqiu Yuan, on behalf of the Chinese Health RIsk MAnagement Collaboration (CHRIMAC)
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Public Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1225053/full
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author Danni Wang
Qiangsheng He
Bin Xia
Jie Zheng
Jie Zheng
Jie Zheng
Wangnan Cao
Shaochen Su
Fulan Hu
Jiang Li
Jiang Li
Yuelun Zhang
Zhengjia Ren
Xue Li
Xue Li
Xue Li
Xinyin Wu
Yafang Huang
Yongjiang Tang
Fuxin Wei
Huachun Zou
Huaili Jiang
Junjie Huang
Wenbo Meng
Ming Bai
Kehu Yang
Kehu Yang
Kehu Yang
Jinqiu Yuan
on behalf of the Chinese Health RIsk MAnagement Collaboration (CHRIMAC)
author_facet Danni Wang
Qiangsheng He
Bin Xia
Jie Zheng
Jie Zheng
Jie Zheng
Wangnan Cao
Shaochen Su
Fulan Hu
Jiang Li
Jiang Li
Yuelun Zhang
Zhengjia Ren
Xue Li
Xue Li
Xue Li
Xinyin Wu
Yafang Huang
Yongjiang Tang
Fuxin Wei
Huachun Zou
Huaili Jiang
Junjie Huang
Wenbo Meng
Ming Bai
Kehu Yang
Kehu Yang
Kehu Yang
Jinqiu Yuan
on behalf of the Chinese Health RIsk MAnagement Collaboration (CHRIMAC)
author_sort Danni Wang
collection DOAJ
description IntroductionNon-communicable diseases (NCDs) represent the leading cause of mortality and disability worldwide. Robust evidence has demonstrated that modifiable lifestyle factors such as unhealthy diet, smoking, alcohol consumption and physical inactivity are the primary causes of NCDs. Although a series of guidelines for the management of NCDs have been published in China, these guidelines mainly focus on clinical practice targeting clinicians rather than the general population, and the evidence for NCD prevention based on modifiable lifestyle factors has been disorganized. Therefore, comprehensive and evidence-based guidance for the risk management of major NCDs for the general Chinese population is urgently needed. To achieve this overarching aim, we plan to develop a series of expert consensuses covering 15 major NCDs on health risk management for the general Chinese population. The objectives of these consensuses are (1) to identify and recommend suitable risk assessment methods for the Chinese population; and (2) to make recommendations for the prevention of major NCDs by integrating the current best evidence and experts’ opinions.Methods and analysisFor each expert consensus, we will establish a consensus working group comprising 40–50 members. Consensus questions will be formulated by integrating literature reviews, expert opinions, and an online survey. Systematic reviews will be considered as the primary evidence sources. We will conduct new systematic reviews if there are no eligible systematic reviews, the methodological quality is low, or the existing systematic reviews have been published for more than 3 years. We will evaluate the quality of evidence and make recommendations according to the GRADE approach. The consensuses will be reported according to the Reporting Items for Practice Guidelines in Healthcare (RIGHT).
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spelling doaj.art-6d95c4cde4dd4a3cab4fba23414f1d5f2023-09-29T05:35:02ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-09-011110.3389/fpubh.2023.12250531225053A protocol of Chinese expert consensuses for the management of health risk in the general publicDanni Wang0Qiangsheng He1Bin Xia2Jie Zheng3Jie Zheng4Jie Zheng5Wangnan Cao6Shaochen Su7Fulan Hu8Jiang Li9Jiang Li10Yuelun Zhang11Zhengjia Ren12Xue Li13Xue Li14Xue Li15Xinyin Wu16Yafang Huang17Yongjiang Tang18Fuxin Wei19Huachun Zou20Huaili Jiang21Junjie Huang22Wenbo Meng23Ming Bai24Kehu Yang25Kehu Yang26Kehu Yang27Jinqiu Yuan28on behalf of the Chinese Health RIsk MAnagement Collaboration (CHRIMAC)Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, ChinaDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, ChinaDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, ChinaDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, United KingdomDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, ChinaHealthy Examination & Management Center, The First Hospital of Lanzhou University, Lanzhou, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, ChinaOffice for Cancer Screening, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaChinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Beijing, China0Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China1Department of Clinical Psychology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China2Center for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China3Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China4Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China5Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China6School of General Practice and Continuing Education, Capital Medical University, Beijing, China7Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China8Department of Orthopaedic Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China9Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China0Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China1Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China2Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China3The Department of Nephrology, Xijing Hospital, The Fourth Military Medical University, Xi’an, China4Health Technology Assessment Center, Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China5Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China6Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, ChinaDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, ChinaIntroductionNon-communicable diseases (NCDs) represent the leading cause of mortality and disability worldwide. Robust evidence has demonstrated that modifiable lifestyle factors such as unhealthy diet, smoking, alcohol consumption and physical inactivity are the primary causes of NCDs. Although a series of guidelines for the management of NCDs have been published in China, these guidelines mainly focus on clinical practice targeting clinicians rather than the general population, and the evidence for NCD prevention based on modifiable lifestyle factors has been disorganized. Therefore, comprehensive and evidence-based guidance for the risk management of major NCDs for the general Chinese population is urgently needed. To achieve this overarching aim, we plan to develop a series of expert consensuses covering 15 major NCDs on health risk management for the general Chinese population. The objectives of these consensuses are (1) to identify and recommend suitable risk assessment methods for the Chinese population; and (2) to make recommendations for the prevention of major NCDs by integrating the current best evidence and experts’ opinions.Methods and analysisFor each expert consensus, we will establish a consensus working group comprising 40–50 members. Consensus questions will be formulated by integrating literature reviews, expert opinions, and an online survey. Systematic reviews will be considered as the primary evidence sources. We will conduct new systematic reviews if there are no eligible systematic reviews, the methodological quality is low, or the existing systematic reviews have been published for more than 3 years. We will evaluate the quality of evidence and make recommendations according to the GRADE approach. The consensuses will be reported according to the Reporting Items for Practice Guidelines in Healthcare (RIGHT).https://www.frontiersin.org/articles/10.3389/fpubh.2023.1225053/fullnon-communicable diseases (NCDs)primary preventionrisk factorsrisk managementprotocols & guidelines
spellingShingle Danni Wang
Qiangsheng He
Bin Xia
Jie Zheng
Jie Zheng
Jie Zheng
Wangnan Cao
Shaochen Su
Fulan Hu
Jiang Li
Jiang Li
Yuelun Zhang
Zhengjia Ren
Xue Li
Xue Li
Xue Li
Xinyin Wu
Yafang Huang
Yongjiang Tang
Fuxin Wei
Huachun Zou
Huaili Jiang
Junjie Huang
Wenbo Meng
Ming Bai
Kehu Yang
Kehu Yang
Kehu Yang
Jinqiu Yuan
on behalf of the Chinese Health RIsk MAnagement Collaboration (CHRIMAC)
A protocol of Chinese expert consensuses for the management of health risk in the general public
Frontiers in Public Health
non-communicable diseases (NCDs)
primary prevention
risk factors
risk management
protocols & guidelines
title A protocol of Chinese expert consensuses for the management of health risk in the general public
title_full A protocol of Chinese expert consensuses for the management of health risk in the general public
title_fullStr A protocol of Chinese expert consensuses for the management of health risk in the general public
title_full_unstemmed A protocol of Chinese expert consensuses for the management of health risk in the general public
title_short A protocol of Chinese expert consensuses for the management of health risk in the general public
title_sort protocol of chinese expert consensuses for the management of health risk in the general public
topic non-communicable diseases (NCDs)
primary prevention
risk factors
risk management
protocols & guidelines
url https://www.frontiersin.org/articles/10.3389/fpubh.2023.1225053/full
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