Literature DB >> 32200769

Prevalence and determinants of metabolic syndrome based on three definitions in rural northeast China.

Zhi Du1, Liying Xing2, Shuang Liu3, Li Jing2, Yuanmeng Tian2, Boqiang Zhang2, Han Yan2, Min Lin4, Shiwen Yu5, Yingxian Sun1.   

Abstract

OBJECTIVE: To gain more comprehensive understanding of metabolic syndrome (Mets) among in general Chinese population.
DESIGN: Cross-sectional study. Mets was defined by three widely accepted definitions including modified Adults Treatment Panel (ATP) III criteria, International Diabetes Federation (IDF) criteria and harmonized definition. Risk factors were evaluated by using multivariate logistic regression.
SETTING: Nineteen rural villages in northeast China. PARTICIPANTS: The survey was conducted in September 2017 and May 2018 on 10 926 individuals.
RESULTS: According to modified ATP III criteria, IDF criteria and harmonised definition, the overall prevalence of Mets was 41·3 % (95 % CI 40·3, 42·2), 34·2 % (95 % CI 33·2, 35·1) and 44·1 % (95 % CI 43·1, 45·1), respectively. Females had a higher prevalence, and elevated blood pressure was the most frequent. Age, female sex, non-peasant worker, higher BMI and lower-annual income were independent risk factors of Mets in all three definitions (all ps < 0·05). Based on modified ATP III criteria and harmonised definition, heavy drinking was positively correlated with Mets. In contrast, former drinking was inversely associated with Mets.
CONCLUSIONS: Mets is highly prevalent in rural areas of northeast China. Its independent risk factors include higher age, female sex, non-peasantry worker, higher BMI and lower-annual income. Modified ATP III criteria and harmonised definition may be superior definitions of Mets.

Entities:  

Keywords:  Epidemiology; Metabolic syndrome; Prevalence; Risk factor

Year:  2020        PMID: 32200769     DOI: 10.1017/S1368980019004166

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  2 in total

1.  Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults.

Authors:  Yinxia Su; Yaoqin Lu; Wenli Li; Mingyue Xue; Chen Chen; Muyaseer Haireti; Yuanyuan Li; Zhenhui Liu; Yanshi Liu; Shuxia Wang; Hua Yao
Journal:  Diabetes Metab Syndr Obes       Date:  2020-12-09       Impact factor: 3.168

2.  Estimate of prevalent ischemic stroke from triglyceride glucose-body mass index in the general population.

Authors:  Zhi Du; Liying Xing; Min Lin; Yingxian Sun
Journal:  BMC Cardiovasc Disord       Date:  2020-11-12       Impact factor: 2.298

  2 in total

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