Literature DB >> 29637787

Prevalence of metabolic syndrome among middle-aged and elderly adults in China: current status and temporal trends.

Wenzhen Li1, Fujian Song2, Xiaojun Wang1, Longde Wang3, Dongming Wang4,5, Xiaoxv Yin1, Shiyi Cao1, Yanhong Gong1, Wei Yue6, Feng Yan7, Hong Zhang8, Zhenjie Sheng9, Zhihong Wang10, Zuxun Lu1.   

Abstract

BACKGROUND: Metabolic syndrome (MetS) is a cluster of major risk factors for cardiovascular diseases. We aimed to estimate prevalence and distribution of MetS among middle-aged and elderly adults in China.
METHODS: The present analysis used data from a national study in 2014-2015. We defined MetS by different definitions, and compared results of the present study and previous nationally representative studies to illustrate possible temporal changes in MetS prevalence.
RESULTS: The estimated prevalence of MetS was 18.4% by the ATP III criteria, 34.0% by the revised ATP III criteria, and 26.9% by IDF criteria. The prevalence was higher in women, older adults, those with lower education level, and in economically developed regions. Contrasting with previous national studies, adults in urban areas had a lower rate of MetS than those in rural areas (odds ratio 0.94; 95% CI 0.92-0.97). Rural adults had worse deterioration or less improvement in abdominal obesity, overweight, hypertension, and high fasting plasma glucose, than urban adults, which was particularly striking for women.
CONCLUSION: While measures to prevent and control cardiovascular diseases need to be strengthened in China, rapid increasing risk factors among rural residents and women should be prioritized in making public health policy decisions. KEY MESSAGES Our study assessed prevalence and temporal changes of MetS among Chinese population with the most recently completed and the largest sample size. The current prevalence of MetS was higher in women, older adults, those with lower education level, and in economically developed regions and the CVD risk factors among rural residents and women should be prioritised in making public health policy decisions. A comparison of results of the present study and previous national studies showed that rural adults had worse deterioration or less improvement in abdominal obesity, overweight, hypertension, and high fasting plasma glucose, than urban adults, which was particularly striking for women.

Entities:  

Keywords:  Metabolic syndrome; epidemiology; prevalence; trends

Mesh:

Year:  2018        PMID: 29637787     DOI: 10.1080/07853890.2018.1464202

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  22 in total

1.  Associations of sleep durations and sleep-related parameters with metabolic syndrome among older Chinese adults.

Authors:  Yu-Xi Qian; Jing-Hong Liu; Qing-Hua Ma; Hong-Peng Sun; Yong Xu; Chen-Wei Pan
Journal:  Endocrine       Date:  2019-08-31       Impact factor: 3.633

2.  Metabolic syndrome and its association with changes in modifiable risk factors: Epifloripa aging study.

Authors:  Karyne C Garcia; Susana C Confortin; Vandrize Meneghini; Eleonora d'Orsi; Aline Rodrigues Barbosa
Journal:  J Diabetes Metab Disord       Date:  2022-01-27

3.  Time trend of overweight and obesity prevalence among older people in Brazilian State Capitals and the Federal District from 2006 to 2019.

Authors:  L C Rodrigues; D S Canella; R M Claro
Journal:  Eur J Ageing       Date:  2021-10-27

4.  Design and development of a Wechat applet for intelligent health management of metabolic syndrome.

Authors:  Leiwen Tang; Dandan Chen; Jing Shao; Hui Zhang; Jingjie Wu; Zhihong Ye
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2022-02-25

5.  Clustering of Elevated Blood Pressure, Elevated Blood Glucose, and Abdominal Obesity Among Adults in Dire Dawa: A Community-Based Cross-Sectional Study.

Authors:  Melkamu Merid Mengesha; Behailu Hawulte Ayele; Addisu Shunu Beyene; Hirbo Shore Roba
Journal:  Diabetes Metab Syndr Obes       Date:  2020-06-16       Impact factor: 3.168

6.  Risk of Metabolic Syndrome among Middle-Aged Koreans from Rural and Urban Areas.

Authors:  Seohyun Lee; Yoonjin Shin; Yangha Kim
Journal:  Nutrients       Date:  2018-07-03       Impact factor: 5.717

7.  Discover high-risk factor combinations using Bayesian network from cohort data of National Stoke Screening in China.

Authors:  Xuemeng Li; Jianfei Pang; Mei Li; Dongsheng Zhao
Journal:  BMC Med Inform Decis Mak       Date:  2019-04-09       Impact factor: 2.796

8.  Temporal trends in the prevalence of metabolic syndrome among middle-aged and elderly adults from 2011 to 2015 in China: the China health and retirement longitudinal study (CHARLS).

Authors:  Bo Liu; Guanqun Chen; Ruijie Zhao; Dan Huang; Lixin Tao
Journal:  BMC Public Health       Date:  2021-06-02       Impact factor: 3.295

9.  The Rates and the Determinants of Hypertension According to the 2017 Definition of Hypertension by ACC/AHA and 2014 Evidence-Based Guidelines Among Population Aged ≥40 Years Old.

Authors:  Wenzhen Li; Dajie Chen; Shuai Liu; Xiaojun Wang; Xiaojie Chen; Jiafeng Chen; Jing Ma; Fujian Song; Hui Li; Shijiao Yan; Xiaoxv Yin; Shiyi Cao; Yanhong Gong; Junan Liu; Wei Yue; Feng Yan; Chuanzhu Lv; Zhihong Wang; Zuxun Lu
Journal:  Glob Heart       Date:  2021-05-04

10.  Association of serum 25-hydroxyvitamin D with metabolic syndrome and type 2 diabetes: a one sample Mendelian randomization study.

Authors:  Jing Xiao; Jingyi Lv; Shiyu Wang; Yang Zhou; Lunwen Chen; Juying Lu; Xiaoyi Zhang; Xiaojian Wang; Yunjuan Gu; Qingyun Lu
Journal:  BMC Geriatr       Date:  2021-06-29       Impact factor: 3.921

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