Cargando…
Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study — Beijing, China, 2017–2018
WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Metabolic syndrome (MetS) is one of the most easily available health indicative markers for cardiovascular diseases, and it has become a major public health problem worldwide due to increasing urbanization and aging populations. The prevalence of MetS increase...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339350/ https://www.ncbi.nlm.nih.gov/pubmed/35919823 http://dx.doi.org/10.46234/ccdcw2022.138 |
_version_ | 1784760168977793024 |
---|---|
author | Liu, Jufen Liu, Qingping Li, Zhiwen Du, Jing Wang, Chao Gao, Yanlin Wei, Zaihua Wang, Jing Shi, Yunping Su, Jianting Liu, Yang Wang, Ping Xie, Chunyan Li, Gang Shao, Bing Zhang, Le |
author_facet | Liu, Jufen Liu, Qingping Li, Zhiwen Du, Jing Wang, Chao Gao, Yanlin Wei, Zaihua Wang, Jing Shi, Yunping Su, Jianting Liu, Yang Wang, Ping Xie, Chunyan Li, Gang Shao, Bing Zhang, Le |
author_sort | Liu, Jufen |
collection | PubMed |
description | WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Metabolic syndrome (MetS) is one of the most easily available health indicative markers for cardiovascular diseases, and it has become a major public health problem worldwide due to increasing urbanization and aging populations. The prevalence of MetS increased dramatically in China, however, there are no records of MetS defined by the 2017 Chinese Diabetes Society for Beijing by far. WHAT IS ADDED BY THIS REPORT? In this study, the data of 24,412 participants aged 18–74 years from a large population-based study in Beijing was collected. The overall prevalence of MetS among Beijing residents was 24.5%. The prevalence was 35.2% in males and 15.4% in females. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? Effective public health strategies should target males, people with older age, lower education, higher body mass index, smokers, those who drink alcohol, those who are unemployed or retired, and those who live in rural areas on MetS prevention and control. |
format | Online Article Text |
id | pubmed-9339350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-93393502022-08-01 Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study — Beijing, China, 2017–2018 Liu, Jufen Liu, Qingping Li, Zhiwen Du, Jing Wang, Chao Gao, Yanlin Wei, Zaihua Wang, Jing Shi, Yunping Su, Jianting Liu, Yang Wang, Ping Xie, Chunyan Li, Gang Shao, Bing Zhang, Le China CDC Wkly Preplanned Studies WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Metabolic syndrome (MetS) is one of the most easily available health indicative markers for cardiovascular diseases, and it has become a major public health problem worldwide due to increasing urbanization and aging populations. The prevalence of MetS increased dramatically in China, however, there are no records of MetS defined by the 2017 Chinese Diabetes Society for Beijing by far. WHAT IS ADDED BY THIS REPORT? In this study, the data of 24,412 participants aged 18–74 years from a large population-based study in Beijing was collected. The overall prevalence of MetS among Beijing residents was 24.5%. The prevalence was 35.2% in males and 15.4% in females. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? Effective public health strategies should target males, people with older age, lower education, higher body mass index, smokers, those who drink alcohol, those who are unemployed or retired, and those who live in rural areas on MetS prevention and control. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022-07-22 /pmc/articles/PMC9339350/ /pubmed/35919823 http://dx.doi.org/10.46234/ccdcw2022.138 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/) |
spellingShingle | Preplanned Studies Liu, Jufen Liu, Qingping Li, Zhiwen Du, Jing Wang, Chao Gao, Yanlin Wei, Zaihua Wang, Jing Shi, Yunping Su, Jianting Liu, Yang Wang, Ping Xie, Chunyan Li, Gang Shao, Bing Zhang, Le Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study — Beijing, China, 2017–2018 |
title | Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study — Beijing, China, 2017–2018 |
title_full | Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study — Beijing, China, 2017–2018 |
title_fullStr | Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study — Beijing, China, 2017–2018 |
title_full_unstemmed | Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study — Beijing, China, 2017–2018 |
title_short | Prevalence of Metabolic Syndrome and Risk Factors Among Chinese Adults: Results from a Population-Based Study — Beijing, China, 2017–2018 |
title_sort | prevalence of metabolic syndrome and risk factors among chinese adults: results from a population-based study — beijing, china, 2017–2018 |
topic | Preplanned Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339350/ https://www.ncbi.nlm.nih.gov/pubmed/35919823 http://dx.doi.org/10.46234/ccdcw2022.138 |
work_keys_str_mv | AT liujufen prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT liuqingping prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT lizhiwen prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT dujing prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT wangchao prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT gaoyanlin prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT weizaihua prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT wangjing prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT shiyunping prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT sujianting prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT liuyang prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT wangping prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT xiechunyan prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT ligang prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT shaobing prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 AT zhangle prevalenceofmetabolicsyndromeandriskfactorsamongchineseadultsresultsfromapopulationbasedstudybeijingchina20172018 |