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济南市35~75岁居民心血管疾病高危人群检出情况及影响因素:一项横断面研究

Detection of high-risk populations of cardiovascular diseases and its influencing factors among residents aged 35–75 years in Jinan city: a cross-sectional study

  • 摘要:
    目的 了解山东省济南市35~75岁居民心血管疾病(CVD)高危人群检出情况及影响因素,为该地区居民CVD的预防控制提供参考依据。
    方法 于2016年9月—2022年6月,采用多阶段随机整群抽样方法在济南市历城区和章丘区抽取129个社区/村的30 217名35~75岁居民进行问卷调查、体格检查和实验室检测。分析济南市35~75岁居民CVD高危人群检出情况,并应用多因素非条件logistic回归模型分析该地区居民CVD高危人群检出情况的影响因素。
    结果 济南市最终纳入分析的30 214名居民中,检出CVD高危人群7 633人,CVD高危人群检出率为25.26%;多因素非条件logistic回归分析结果显示,年龄60~75岁、行政/专业技术人员、退休/失业/家务人员、中心型肥胖、高血压、糖尿病和血脂异常与济南市35~75岁居民CVD高危人群检出呈正向关联,女性、工人、商业/服务业人员和农业户口与济南市35~75岁居民CVD高危人群检出呈负向关联。
    结论 济南市35~75岁居民高危人群检出率相对较高,性别、年龄、职业、户口类型、是否中心型肥胖、是否高血压、是否糖尿病和是否血脂异常为该地区35~75岁居民CVD高危人群检出的主要影响因素。

     

    Abstract:
    Objective To investigate the detection status and its influencing factors of high-risk populations of cardiovascular disease (CVD) among residents aged 35–75 years in Jinan for the prevention and control of CVD among residents in this region.
    Methods A multi-stage random cluster sampling method was employed to select a total of 30 217 residents aged 35–75 years from 129 communities/villages from Licheng and Zhangqiu districts of Jinan for the survey between September 2016 and June 2022. Data were collected via questionnaires, physical examinations, and laboratory tests. Multivariate unconditional logistic regression analysis was performed to identity the influencing factors of the detection status of high-risk CVD populations among residents in this region.
    Results Among the 30 214 participants aged 35–75 years in Jinan, 7 633 (25.26%) participants were identified with a high risk for CVD. The results of multivariate unconditional logistic regression analysis showed that age of 60 to 75 years, administrative/professional technical personnel, being retired/unemployed/homemakers, central obesity, hypertension, diabetes, and dyslipidemia were risk factors for the detection of high-risk CVD populations among residents aged 35–75 years in Jinan. Conversely, female, workers, employed in commercial/service industries, and agricultural household registration were protective factors.
    Conclusions The detection rate of high-risk CVD populations among residents aged 35–75 years was high in Jinan. Gender, age, occupation, registered permanent residence type, central obesity, hypertension, diabetes mellitus, and dyslipidemia were the main influencing factors for the detection of high-risk CVD populations among residents aged 35–75 years in this region.

     

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