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陈剑锋, 马斌. 上海市高东社区老年体检人群高尿酸血症发病及其影响因素分析[J]. 中国公共卫生, 2022, 38(4): 414-419. DOI: 10.11847/zgggws1132953
引用本文: 陈剑锋, 马斌. 上海市高东社区老年体检人群高尿酸血症发病及其影响因素分析[J]. 中国公共卫生, 2022, 38(4): 414-419. DOI: 10.11847/zgggws1132953
CHEN Jian-feng, MA Bin. Incidence and influencing factors of hyperuricemia among elderly community physical examinees in Shanghai city[J]. Chinese Journal of Public Health, 2022, 38(4): 414-419. DOI: 10.11847/zgggws1132953
Citation: CHEN Jian-feng, MA Bin. Incidence and influencing factors of hyperuricemia among elderly community physical examinees in Shanghai city[J]. Chinese Journal of Public Health, 2022, 38(4): 414-419. DOI: 10.11847/zgggws1132953

上海市高东社区老年体检人群高尿酸血症发病及其影响因素分析

Incidence and influencing factors of hyperuricemia among elderly community physical examinees in Shanghai city

  • 摘要:
      目的  了解上海市高东社区老年体检人群高尿酸血症(HUA)发病情况及其影响因素,为HUA危险因素的防控及HUA相关慢性病的社区管理提供参考依据。
      方法  采用队列研究方法,整群抽取2018年3 — 5月在上海市高东社区体检的6673名血清尿酸正常且既往无痛风病史的 ≥ 60岁社区老年人作为随访队列进行为期1年的随访,并应用Cox逐步回归模型筛选HUA发病的影响因素。
      结果  上海市高东社区6673名老年体检人群中,实际随访5648人,随访率为84.64 %;剔除随访结局信息不完整者31人,最终纳入分析5617人,累计随访6384.18人年,中位随访时间为1.12年。5617名社区老年体检人群的发病密度为63.44/1000人年,其中男性为52.34/1000人年,女性为72.15/1000人年;累积发病率和标化累积发病率分别为7.21 %和7.58 %,其中男性分别为5.95 %和6.00 %,女性分别为8.20 %和8.98 %。多因素Cox逐步回归模型分析结果显示,患有高血压、中心性肥胖、糖尿病、慢性肾病和冠心病是上海市高东社区老年体检人群HUA发病的危险因素,文化程度初中及以上是上海市高东社区老年体检人群HUA发病的保护因素。
      结论  上海市高东社区老年体检人群HUA发病率较高,基线临床不良指标与HUA发病密切相关,应加强社区HUA发病危险因素的防控。

     

    Abstract:
      Objective  To investigate the incidence and influencing factors of hyperuricemia (HUA) among elderly physical examinees from a community of Shanghai city and to provide evidences for community-based control of HUA risk factors of and management of HUA-related chronic diseases.
      Methods  With cluster sampling, we recruited 6 673 elderly residents (60 years and above) with normal serum uric acid and without gout history from routine physical examinees at a community health service center in Shanghai city during March – May 2018 and conducted a one-year follow-up study among the participants. Cox stepwise regression model was applied to explore influencing factors of HUA incidence.
      Results  The follow-up was completed in 84.64% (5 648) of all the participants, with a total of 6 384.18 person-years of follow-up and a median of 1.12 years of follow-up for each participant. For the 5 617 participants with valid information during the follow up period, the HUA incidence density (1/1 000 person-years) was 63.44 (52.34 for the males and 72.15 for the females); the crude cumulative incidence rate of HUA were 7.21% (5.95% for the males and 8.20% for the females) and the standard cumulative incidence rate of HUA and 7.58% (6.00% for the males and 8.98% for the females), respectively. Multivariate Cox stepwise regression model analysis showed that hypertension, central obesity, diabetes mellitus, chronic kidney disease, and coronary heart disease were risk factors for HUA incidence; while with an education of middle school and above was a protective factor against HUA incidence among the community elderly physical examinees.
      Conclusion  The HUA incidence rate was relatively high and correlated with central obesity and several chronic diseases among elderly physical examinees in a community of Shanghai city. The results suggest that intervention on risk factors of HUA needs to be promoted among community populations.

     

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