Analysis on prevalence of metabolic syndrome and its influencing factors among middle-aged and above in Hebei Province

ZHAO Jing-jing; CAO Ya-jing; SHAN Guang-liang; TANG Li-juan; PAN Li; ZHANG Ling; LI Mei; SHI Wei-wei; GAO Jin-chai; SUN Ji-xin

doi:10.16462/j.cnki.zhjbkz.2020.10.005

Volume 24 Issue 10

Nov. 2020

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2020 > 24(10): 1134-1138

ZHAO Jing-jing, CAO Ya-jing, SHAN Guang-liang, TANG Li-juan, PAN Li, ZHANG Ling, LI Mei, SHI Wei-wei, GAO Jin-chai, SUN Ji-xin. Analysis on prevalence of metabolic syndrome and its influencing factors among middle-aged and above in Hebei Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(10): 1134-1138. doi: 10.16462/j.cnki.zhjbkz.2020.10.005

Citation:

ZHAO Jing-jing, CAO Ya-jing, SHAN Guang-liang, TANG Li-juan, PAN Li, ZHANG Ling, LI Mei, SHI Wei-wei, GAO Jin-chai, SUN Ji-xin. Analysis on prevalence of metabolic syndrome and its influencing factors among middle-aged and above in Hebei Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(10): 1134-1138. doi: 10.16462/j.cnki.zhjbkz.2020.10.005

Citation:

ZHAO Jing-jing, CAO Ya-jing, SHAN Guang-liang, TANG Li-juan, PAN Li, ZHANG Ling, LI Mei, SHI Wei-wei, GAO Jin-chai, SUN Ji-xin. Analysis on prevalence of metabolic syndrome and its influencing factors among middle-aged and above in Hebei Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(10): 1134-1138. doi: 10.16462/j.cnki.zhjbkz.2020.10.005

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Analysis on prevalence of metabolic syndrome and its influencing factors among middle-aged and above in Hebei Province

doi: 10.16462/j.cnki.zhjbkz.2020.10.005

1.
Department of Chronic Non-communicable Diseases Prevention and Control, Hebei Province Center for Disease Prevention and Control, Shijiazhuang 050021, China
Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005, China
Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China

Funds:

The National Key Research and Development Program of China 2016YFC0900600

The National Key Research and Development Program of China 2016YFC0900603

Medical Science Research Project of Hebei Province 20200697

More Information

Corresponding author: SUN Ji-xin，E-mail:jixinsun888@163.com
Received Date: 2020-02-24
Rev Recd Date: 2020-06-06
Publish Date: 2020-11-18

Abstract

Abstract

Objective To understand the prevalence of metabolic syndrome (MS) and its influencing factors among middle-aged and above in Hebei Province. Methods Using data from the chronic disease cohort study of natural populations in living communities in the Beijing-Tianjin-Hebei region, the prevalence of MS among 4 546 residents aged 40-80 years old in seven districts or counties of Hebei Province was analyzed, and the multivariate logistic regression model was used to explore the related influencing factors of MS prevalence. Results The prevalence of MS was 25.30%. Among them, the prevalence of men was 28.59%, and that of women was 23.09%; the prevalence of Han was 28.15%, and the Manchu was 21.07%. Among the components of MS, the prevalence of overweight/obesity, hypertension, hyperglycemia and dyslipidemia were 50.99%, 46.70%, 22.06% and 43.16%, respectively. Multivariate logistic regression results showed that females (OR=0.69, 95% CI:0.57-0.83, P ＜ 0.001), Manchus (OR=0.68, 95% CI:0.59-0.79, P ＜ 0.001), and higher education levels (compared to those with primary school and below, the odds ratio for high school/junior high school and college or above were 0.83 and 0.75, respectively) were protective factors, and the advanced age (compared with 40-49 years old age group, the odds ratio for 50-59 years old, 60-69 years old and 70-80 years old age group were 1.81, 1.76 and 1.50, respectively) was risk factors. Conclusions The prevalence of metabolic syndrome in Hebei is relatively high, especially among elderly, male, Han and low-education people. When carrying out targeted prevention and control of the crowd, active measures should be taken to control weight.
- Metabolic syndrome,
- Prevalence,
- Risk factor

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References(17)

References

Schmidt C, Bergstrom GM. The metabolic syndrome predicts cardiovascular events:results of a 13-year follow-up in initially healthy 58-year-old men[J]. Metab yndr Relat Disord, 2012, 10(6):394-399. DOI: 10.1089/met.2012.0048.

Lao XQ, Ma WJ, Sobko T, et al. Dramatic escalation in metabolic syndrome and cardiovascular risk in a Chinese population experiencing rapid economic development[J]. BMC Public Health, 2014, 14:983. DOI: 10.1186/1471-2458-14-983.

Li Y, Zhao L, Yu D, et al. Metabolic syndrome prevalence and its risk factors among adults in China:a nationally representative cross-sectional study[J]. PLo One, 2018, 13(6):e199293. DOI: 10.1371/journal.pone.0199293.

曹寒, 单广良, 张玲. "京津冀地区生活社区自然人群慢性病队列研究"介绍[J].中国循证医学杂志, 2018, 18(6):640-644. DOI: 10.7507/1672-2531.201801026.

Cao H, Shan GL, Zhang L. Introduction to "Cohort study on chronic diseases of natural population in living communities in Beijing-Tianjin-Hebei region"[J]. Chin J Evid-ased Med, 2018, 18(6):640-644. DOI: 10.7507/1672-2531.201801026.

He H, Pan L, Pa L, et al. Data resource profile:the China National Health Survey (CNHS)[J]. Int J Epidemiol, 2018, 47(6):1734-1735. DOI: 10.1093/ije/dyy151.

中华医学会糖尿病学分会代谢综合征研究协作组.中华医学会糖尿病学分会关于代谢综合征的建议[J].中华糖尿病杂志, 2004, (3):5-10. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgtnbzz200403002

Metabolic Syndrome Research Collaborative Group of Diabetes Branch of Chinese Medical Association. Recommendations on metabolic syndrome from diabetes branch of Chinese medical association[J]. Chin J Diabetes, 2004, (3):5-10. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgtnbzz200403002

陈学芬, 薄海艳, 黄品贤, 等.上海市社区40岁~居民代谢综合征现患调查[J].中国公共卫生, 2010, 26(4):498-499. http://qikan.cqvip.com/Qikan/Article/Detail?id=33688924

Chen XF, Bo HY, Huang PX, et al. Prevalence of metabolic syndrome in community elderly adults of Shanghai city[J]. Chin Publ Heal, 2010, 26(4):498-499. http://qikan.cqvip.com/Qikan/Article/Detail?id=33688924

韩波.我院40岁及以上体检人群代谢综合征现状调查及影响因素分析[J].中国医药导报, 2016, 13(32):61-64. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yycyzx201632016

Han B. Status survey of metabolic syndrome in physical examination people aged over 40 in our hospital and its influence factor analysis[J]. China Medical Herald, 2016, 13(32):61-64. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yycyzx201632016

刘国辉, 李秀荣, 白波, 等.唐山市40岁以上成人代谢综合征调查[J].河北医药, 2012, 34(8):1243-1244. DOI: 10.3969/j.issn.1002-7386.2012.08.075.

Liu GH, Li XR, Bai B, et al. Investigation of metabolic syndrome in adults over 40 years old in Tangshan City[J]. Hebei Med J, 2012, 34(8):1243-1244. DOI: 10.3969/j.issn.1002-7386.2012.08.075.

王丰, 陈新, 吴明.北京市西城区40岁及以上居民代谢综合征的流行特征[J].中华疾病控制杂志, 2013, 17(8):691-694. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jbkzzz201308012

Wang F, Chen X, Wu M. Epidemiological characteristics of metabolic syndrome among residents over the age of 40 in Xicheng District, Beijing[J]. Chin J Dis Control Prev, 2013, 17(8):691-694. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jbkzzz201308012

周嘉, 罗悦玲, 李励, 等.广西40岁以上人群代谢综合征及其危险因素调查[J].诊断学理论与实践, 2016, 15(4):364-370. DOI: 10.16150/j.1671-2870.2016.04.008.

Zhou J, Luo YL, Li L, et al. The prevalence and risk factors of metabolic syndrome in middle-aged and elderly people in Guangxi[J]. J Diagn Concepts Pract, 2016, 15(4):364-370. DOI: 10.16150/j.1671-2870.2016.04.008.

郭海健, 念馨, 梁友芳, 等.基于多中心横断面调查的中国人群代谢综合征的流行情况及危险因素[J].中华疾病控制杂志, 2019, 23(7):796-801. DOI: 10.16462/j.cnki.zhjbkz.2019.07.011.

Guo HJ, Nian X, Liang YF, et al. The prevalence and risk factors of metabolic syndrome in Chinese population based on the multi-center cross-sectional survey[J]. Chin J Dis Control Prev, 2019, 23(7):796-801. DOI: 10.16462/j.cnki.zhjbkz.2019.07.011.

Feng Y, Yang Y, Ma X, et al. Prevalence of diabetes among Han, Manchu and Korean ethnicities in the Mudanjiang area of China:a cross-sectional survey[J]. BMC Public Health, 2012, 12:23. DOI: 10.1186/1471-2458-12-23.

马正亮.我国少数民族人口发展状况分析[J].贵州大学学报(社会科学版), 2013, 31(2):80-89. DOI: 10.15958/j.cnki.gdxbshb.2013.02.019.

Ma ZL. Analysis of the development of ethnic minorities in my country[J]. Journal of Guizhou University (Social Sciences), 2013, 31(2):80-89. DOI: 10.15958/j.cnki.gdxbshb.2013.02.019.

赵天明, 王增武, 张林峰, 等.北方农村35岁及以上人群代谢综合征患病情况调查[J].中华疾病控制杂志, 2015, 19(5):439-442. DOI: 10.16462/j.cnki.zhjbkz.2015.05.003.

Zhao TM, Wang ZW, Zhang LF, et al. Prevalence of metabolic syndrome among rural residents aged 35 and above in north China[J]. Chin J Dis Control Prev, 2015, 19(5):439-442. DOI: 10.16462/j.cnki.zhjbkz.2015.05.003.

李亚茹, 赵丽云, 于冬梅, 等.中国成人饮酒与代谢综合征的关系[J].卫生研究, 2019, 48(4):531-536. DOI: 10.19813/j.cnki.weishengyanjiu.2019.04.001.

Li YR, Zhao LY, Yu DM, et al. The relationship between Chinese adult drinking and metabolic syndrome[J]. J Hygiene Res, 2019, 48(4):531-536. DOI: 10.19813/j.cnki.weishengyanjiu.2019.04.001.

闫慧敏, 张梅, 张笑, 等.中国老年人代谢综合征流行特征及其影响因素研究[J].中华流行病学杂志, 2019, 40(3):284-289. DOI: 10.3760/cma.j.issn.0254-6450.2019.03.006.

Yan HM, Zhang M, Zhang X, et al. Study of epidemiological characteristics of metabolic syndrome and influencing factors in elderly people in China[J]. Chin J Epidemiol, 2019, 40(3):284-289. DOI: 10.3760/cma.j.issn.0254-6450.2019.03.006.

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