秦秋兰, 唐振柱, 周为文, 吴兴华, 李忠友, 熊润松, 陈玉柱, 李晓鹏, 黄丽娜, 朱耿赟. 广西壮族自治区农村地区痛风与代谢综合征的相关性研究[J]. 疾病监测, 2017, 32(7): 589-592. DOI: 10.3784/j.issn.1003-9961.2017.07.015
引用本文: 秦秋兰, 唐振柱, 周为文, 吴兴华, 李忠友, 熊润松, 陈玉柱, 李晓鹏, 黄丽娜, 朱耿赟. 广西壮族自治区农村地区痛风与代谢综合征的相关性研究[J]. 疾病监测, 2017, 32(7): 589-592. DOI: 10.3784/j.issn.1003-9961.2017.07.015
QIN Qiu-lan, TANG Zhen-zhu, ZHOU Wei-wen, WU Xing-hua, LI Zhong-you, XIONG Run-song, CHEN Yu-zhu, LI Xiao-peng, HUANG Li-na, ZHU Geng-yun. Correlation between gout and metabolic syndrome in three rural areas of Guangxi Zhuang Autonomous Region[J]. Disease Surveillance, 2017, 32(7): 589-592. DOI: 10.3784/j.issn.1003-9961.2017.07.015
Citation: QIN Qiu-lan, TANG Zhen-zhu, ZHOU Wei-wen, WU Xing-hua, LI Zhong-you, XIONG Run-song, CHEN Yu-zhu, LI Xiao-peng, HUANG Li-na, ZHU Geng-yun. Correlation between gout and metabolic syndrome in three rural areas of Guangxi Zhuang Autonomous Region[J]. Disease Surveillance, 2017, 32(7): 589-592. DOI: 10.3784/j.issn.1003-9961.2017.07.015

广西壮族自治区农村地区痛风与代谢综合征的相关性研究

Correlation between gout and metabolic syndrome in three rural areas of Guangxi Zhuang Autonomous Region

  • 摘要: 目的 探讨广西壮族自治区(广西)3个农村地区痛风患者发病与代谢综合征(MS)的相关性。方法 采用1∶1配对的病例对照研究设计方法,于2015年收集广西3个县379 例痛风病例,以同一区域的人群为对照,分析调查对象中MS的患病率以及痛风与MS各相关指标的相关关系。结果 痛风组MS患病率为33.25%、非痛风组MS患病率为11.87%,痛风组高于非痛风组(2=49.546,P0.01)。两组MS相关指标均值和阳性率差异有统计学意义。相关因素分层后,痛风组MS的患病风险明显高于非痛风人群。痛风组MS诊断标准中异常项检出率随着项目增多呈上升趋势。多因素logistic回归分析显示,超重和(或)肥胖、高舒张压和甘油三酯升高为痛风的独立危险因素。结论 痛风患者中MS的患病率增高,痛风与MS各相关指标密切相关,对 MS 及各相关指标的积极干预可减少痛风的发病。

     

    Abstract: Objective To analyze the correlation between gout and metabolic syndrome (MS) in three rural areas in Guangxi. Methods A 1:1 matched case control study was conducted in 3 counties in Guangxi by using 379 gout cases as case group and general population as control group. The prevalence of MS and the correlation between MS and gout in the subjects were analyzed. Results The prevalence rate of MS was 33.25% in case group and 11.87% in control group (2=49.546, P 0.01). The differences in means and positive rates of different forms of MS related between two groups were significant. After stratification, the risk of MS in gout group was significantly higher than that in control group. The detection rate of different forms of MS in case group increased with the increase of the detection items. Multivariate logistic regression analysis showed that overweight and (or) obesity, high diastolic blood pressure and high triglyceride were independent risk factors for gout. Conclusion The prevalence of MS increased in gout patients. Gout is closely correlated with MS. The active intervention of MS can reduce the incidence of gout.

     

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