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桑向来, 梁效成, 孙建云. 甘肃省社区人群食源性疾病患病因素分析[J]. 中国公共卫生, 2021, 37(1): 78-81. DOI: 10.11847/zgggws1122758
引用本文: 桑向来, 梁效成, 孙建云. 甘肃省社区人群食源性疾病患病因素分析[J]. 中国公共卫生, 2021, 37(1): 78-81. DOI: 10.11847/zgggws1122758
SANG Xiang-lai, LIANG Xiao-cheng, SUN Jian-yun. Prevalence and risk factors of foodborne illness among community residents in Gansu province[J]. Chinese Journal of Public Health, 2021, 37(1): 78-81. DOI: 10.11847/zgggws1122758
Citation: SANG Xiang-lai, LIANG Xiao-cheng, SUN Jian-yun. Prevalence and risk factors of foodborne illness among community residents in Gansu province[J]. Chinese Journal of Public Health, 2021, 37(1): 78-81. DOI: 10.11847/zgggws1122758

甘肃省社区人群食源性疾病患病因素分析

Prevalence and risk factors of foodborne illness among community residents in Gansu province

  • 摘要:
      目的  了解甘肃省社区人群食源性疾病患病流行情况,并探索其影响因素,为制定疾病干预措施和合理配置卫生资源提供科学依据。
      方法  采用分层随机抽样方法于2011年12月 — 2013年11月选取甘肃省3个调查点共4 917户居民,完成4 229份样本人群的调查,通过入户面对面访谈的形式,用调查问卷收集信息。
      结果  食源性疾病加权月患病率为6.57 %(95 % CI = 5.84 %~7.30 %),病例就诊率为70.67 %(95 % CI = 65.29 %~76.06 %)。多因素logistic回归分析结果显示:年龄、文化程度、家庭年收入、季度、监测点对食源性疾病患病的影响差异有统计学意义(P < 0.05)。
      结论  甘肃省社区人群食源性疾病患病率较高,年龄、文化程度、家庭年收入、季度以及地域等因素对食源性疾病患病有影响。

     

    Abstract:
      Objective  To examine the prevalence and risk factors of foodborne illness in Gansu province and to provide evidences for prevention and control of the disease and reasonable allocation of healthcare resources.
      Methods  We selected 4 917 urban and rural households in 2 districts and a county in Gansu province using stratified random sampling and then carried out face-to-face interviews among the household residents with a questionnaire between December 2011 to November 2013.
      Results  Among a total of 4 229 residents completing the survey, the adjusted monthly prevalence of foodborne illness was 6.6% (95% confidence interval 95% CI: 5.8% – 7.3%). Of all the illness sufferers, 70.67% (95% CI: 65.29% – 76.06%) reported medication-seeking for the illness. Multivariate logistic regression analysis demonstrated that age, education level, family annual income, season and residential region were significant impact factors for the occurrence of foodborne illness (P < 0.05 for all).
      Conclusion  The prevalence of foodborne illness was high and mainly influenced by age, education level, family annual income, season and residential region among urban and rural community residents in Gansu province.

     

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