Prevalence and Related Factors of Metabolic Syndrome in Beijing, China (Year 2017)

Prevalence and Related Factors of Metabolic Syndrome in Beijing, China (Year 2017)
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DOI:
10.1159/000508842
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发表时间:
2020-11-24
期刊:
影响因子:
3.6
通讯作者:
Dong, Zhong
Dong, Zhong
中科院分区:
医学3区
文献类型:
--
作者:
Ma, Aijuan;Fang, Kai;Dong, Zhong

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目的:代谢综合征(METS)是世界范围内的主要公共卫生问题之一。本研究的目的是调查北京地区甲型肝炎的患病率及相关危险因素,以制定有针对性的政策。方法:采用多阶段分层整群抽样方法,采用2017年北京市慢性病及危险因素监测资料,抽取12597名18~79岁北京市居民作为研究对象。根据国际糖尿病联合会的定义,估计METS的加权患病率和METS组分的聚集性。采用Rao-Scott调整卡方检验检验蛋氨酸水平及其构成因素的差异,采用复合抽样非条件Logistic回归分析蛋氨酸水平的影响因素。结果:METS患病率为25.59%(95%可信区间23.77~27.41),男女比例分别为30.53%(95%可信区间28.32~32.75)和20.44%(95%可信区间18.29~22.58)。中心性肥胖、高空腹血糖、高甘油三酯、低高密度脂蛋白胆固醇和高血压的比例分别为42.02%、27.96%、32.87%、27.25%和43.06%。共有29.60%(95%可信区间27.55-31.74)的参与者提出了至少三个METS组成部分。多因素非条件Logistic回归分析显示,45~59岁、60~79岁、男性、农村、初中文化程度、小学及以下文化程度、酗酒、睡眠时间不当、腰围/身高比(WHtR)不健康是METS的危险因素;OR值分别为1.55(95%CI 1.32~1.81)、1.94(95%CI 1.62~2.31)、1.51(95%CI 1.34~1.70)、1.27(95%CI 1.06~1.52)、1.38(95%CI 1.13~1.68)、1.44(95%CI 1.13~1.84)、1.50(95%CI 1.14~1.99)、1.23(95%CI 1.10~1.37),和238.20(95%CI92.54~613.12)。结论:北京市甲型肝炎的患病率仍呈上升趋势。应优先制定旨在预防和控制高血压的策略,以减少甲亢的发生。WHtR是评价METS更重要的指标。应提倡健康教育和个性化生活方式干预,以保持健康的腰围和腰围。应保持适当的睡眠时间,有害饮酒者应限制或戒酒。
Objective: Metabolic syndrome (MetS) is one of the major public health problems worldwide. The aim of this study was to investigate the prevalence and associated risk factors of MetS in Beijing to formulate targeted policies. Methods: Data from the 2017 Beijing Chronic Disease and Risk Factors Surveillance were used in this study, in which multistage stratified cluster sampling was adopted to collect a representative sample of 12,597 Beijing residents aged from 18 to 79 years. According to the definition of the International Diabetes Federation, the weighted prevalence of MetS and clustering of MetS components were estimated. The Rao-Scott adjusted chi(2) test was used to test differences in MetS and components rates, and complex sampling unconditional logistic regression was used to explore influencing factors of MetS. Results: The prevalence of MetS was 25.59% (95% CI 23.77-27.41), and the proportion of men and women was 30.53% (95% CI 28.32-32.75) and 20.44% (95% CI 18.29-22.58), respectively. The proportion of central obesity, high fasting plasma glucose, high triglyceride, low high-density lipoprotein cholesterol, and high blood pressure (BP) was 42.02, 27.96, 32.87, 27.25, and 43.06%, respectively. A total of 29.60% (95% CI 27.55-31.74) participants presented at least three components of MetS. The results from complex sampling unconditional logistic regression revealed that the risk factors for having MetS included being 45-59 years old, being 60-79 years old, being male, living in a rural area, education with junior middle school level, education with primary school or below level, harmful use of alcohol, inappropriate sleep time, and having an unhealthy waist-to-height ratio (WHtR); the OR values were 1.55 (95% CI 1.32-1.81), 1.94 (95% CI 1.62-2.31), 1.51 (95% CI 1.34-1.70), 1.27 (95% CI 1.06-1.52), 1.38 (95% CI 1.13-1.68), 1.44 (95% CI 1.13-1.84), 1.50 (95% CI 1.14-1.99), 1.23 (95% CI 1.10-1.37), and 238.20 (95% CI 92.54-613.12), respectively. Conclusions: The prevalence of MetS is still in a rising trend in Beijing. Strategies aimed at prevention and control of high BP should be prioritized to reduce the occurrence of MetS. WHtR is more important to evaluate MetS. Health education and personalized lifestyle intervention should be promoted to keep a healthy WHtR and waist circumference. An appropriate sleep time should be kept, and harmful alcohol drinkers should limit or abstain from alcohol.