Study protocol: investigation of the current situation and influencing factors of metabolic syndrome in the adult population of Guizhou Province, China - A cross-sectional study

Author:

Huang Yu1,Mo Qian1,Xu Li2,Li Lin3,Zhou Jie3,Dai Yuan-hua2,Wu Xian-ming4,Lan Cai-hong2,Liu Tao3,Yang Shuo2

Affiliation:

1. College of acupuncture and moxibustion and Massage, Guizhou University of Traditional Chinese Medicine

2. Acupuncture and moxibustion Rehabilitation Department of the Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine

3. Chronic Disease Management Center of Guizhou Provincial Center for Disease Control and Prevention

4. The Second Clinical Medical College of Guizhou University of Traditional Chinese Medicine

Abstract

Abstract Background Metabolic syndrome (MS) has become a public health issue of common concern and urgent need to be solved all over the world. Guizhou Province is located in southwestern China, and because of its unique climate conditions, geographic location, dietary habits, and differences in living habits among ethnic groups, there is a unique distribution of risk factors for MS. The study protocol is designed to investigate the prevalence and related influencing factors of MS among adult residents of Guizhou Province, and to construct a non-invasive risk assessment model for the onset of MS on the basis of risk factors. Additionally, the study will explore the dose–response relationship between different obesity indicators and MS. Methods This cross-sectional study will employ a comprehensive and multi-modal recruitment approach to recruit adult residents residing in various cities, counties, and township communities in Guizhou Province who understand written Chinese. During the 16-month survey period, at least 6,435 survey participants will be recruited. The questionnaire data will include personal history, disease history, personal lifestyle habits, blood biochemical indicators, and anthropometry. The dietary data questionnaire design will refer to the Chinese Food Composition List. Data will be collected using a project-based, multidimensional, self-management tool. Statistical analysis will use descriptive analysis methods to study the incidence and prevalence of MS. Logistic regression analysis and linear regression analysis will explore the correlation between various factors and MS, and a non-invasive risk assessment model for MS will be constructed through logistic regression analysis. And the dose-response relationship between BMI, other obesity indicators, and MS risk was analyzed by restricted cubic spline (RCS) fitting regression. Discussion The study protocol is intended to update the prevalence and related influencing factors of MS in Guizhou Province over the past decade. Unlike previous studies, we will explore the relationship between dietary patterns and metabolic health, which is crucial for future nutritional recommendations. Additionally, we will conduct in-depth research on the dose–response relationship between different obesity indicators and MS. This will not only provide key data for understanding obesity in Guizhou Province, but also will provide scientific support for our other research.

Publisher

Research Square Platform LLC

Reference42 articles.

1. World Health Organization. Global action plan for the prevention and control of noncommunicable diseases 2013–2020[EB/OL]. [2023-12-13]. https://apps.who.int/iris/handle/10665/94384.

2. Metabolic syndrome–a new world-wide definition. A Consensus Statement from the International Diabetes Federation;Alberti KG;Diabet Med,2006

3. The Global Epidemic of the Metabolic Syndrome;Saklayen MG;Curr Hypertens Rep,2018

4. 2010 China Noncommunicable Disease Surveillance Group. Metabolic Syndrome Among Adults in China: The 2010 China Noncommunicable Disease Surveillance;Lu J;J Clin Endocrinol Metab,2017

5. et,al.China Hypertension Survey Investigators. Status of Hypertension in China: Results From the China Hypertension Survey, 2012–2015;Wang Z;Circulation,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3