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刘览, 孙敏英, 利耀辉, 林伟权, 杨韵鸥, 刘慧, 刘华章, 潘冰莹. 广州市老城区心血管病高危人群检出情况及其影响因素分析[J]. 中国公共卫生, 2021, 37(6): 982-985. DOI: 10.11847/zgggws1127721
引用本文: 刘览, 孙敏英, 利耀辉, 林伟权, 杨韵鸥, 刘慧, 刘华章, 潘冰莹. 广州市老城区心血管病高危人群检出情况及其影响因素分析[J]. 中国公共卫生, 2021, 37(6): 982-985. DOI: 10.11847/zgggws1127721
LIU Lan, SUN Min-ying, LI Yao-hui, . Detection rate of high risk individuals of cardiovascular disease and its correlates among residents aged 35 – 75 years in old urban region of Guangzhou city[J]. Chinese Journal of Public Health, 2021, 37(6): 982-985. DOI: 10.11847/zgggws1127721
Citation: LIU Lan, SUN Min-ying, LI Yao-hui, . Detection rate of high risk individuals of cardiovascular disease and its correlates among residents aged 35 – 75 years in old urban region of Guangzhou city[J]. Chinese Journal of Public Health, 2021, 37(6): 982-985. DOI: 10.11847/zgggws1127721

广州市老城区心血管病高危人群检出情况及其影响因素分析

Detection rate of high risk individuals of cardiovascular disease and its correlates among residents aged 35 – 75 years in old urban region of Guangzhou city

  • 摘要:
      目的  了解广州市老城区心血管病(CVD)高危人群流行情况及其影响因素,为CVD高危人群干预提供参考依据。
      方法  于2017 — 2018年采取整群抽样方法在广东省广州市某老城区开展35~75岁常住居民心血管病高危人群筛查,包括问卷调查、体格检查和实验室检测并进行心血管病高危人群判定,采用单因素及多因素logistic回归分析高危人群检出的影响因素。
      结果  4 892名调查对象心血管病高危总标化检出率为15.17 %,心血管病史、血压高、血脂异常、WHO10年心血管病患病风险 ≥ 20 % 型标化检出率分别为2.13 %、6.68 %、6.82 %、1.69 %。多因素logistic回归分析显示,年龄55~、65~75岁组心血管病高危检出风险高于35~岁组OR(95 % CI)= 1.74(1.20~2.53)、2.67(1.82~3.92),BMI超重、肥胖、现在吸烟、过去12个月饮酒均为心血管病高危检出的危险因素OR(95 % CI) = 1.36(1.16~1.60)、1.80(1.43~2.26)、1.35(1.07~1.71)、1.24(1.05~1.47);而BMI偏瘦为心血管病高危检出的保护因素OR(95 % CI) = 0.61(0.38~0.98)。
      结论  应重点针对社区中老年人群采取体重管理、不良生活方式及血脂异常干预,做好心血管病防控工作。

     

    Abstract:
      Objective  To examine the prevalence and influencing factors of being at high risk of cardiovascular disease (CVD) among adult residents living in old urban regions of Guangzhou city and to provide evidences for implementing related interventions in the population.
      Methods  From 2017 to 2018, we conducted a survey, including questionnaire interview, physical examination and laboratory test, for identifying individuals at high CVD risk among 4 904 permanent residents aged 35 – 75 years recruited using cluster sampling in an old urban region of Guangzhou city, Guangdong province. In this study, the high CVD risk is defined as having one of following four indicators: CVD history, hypertension, dyslipidemia, and with a 20% of probability for suffering from CVD within next 10 years based on the standards recommended by World Health Organization. Univariate and multivariate logistic regression analysis were adopted to explore influencing factors of CVD risk and its detection among the residents.
      Results  Among the 4 892 participants (mean age = 58.83 ± 8.31years) completing the survey, the age- and gender-adjusted detection rate of with a high CVD risk was 15.17% and the adjusted detection rate of CVD history, hypertension type, dyslipidemia, with a 20% of probability for suffering from CVD within next 10 years were 2.13%, 6.68%, 6.82%, and 1.69%, respectively. Multivariate logistic regression revealed that the participants aged 55 – 64 and 65 – 75 years were more likely to be detected with high CVD risk, with odds ratio (OR) (95% confidence interval 95% CI) of 1.74 (1.20 – 2.53) and 2.67 (1.82 – 3.92). For the participants, significant factors positively associated with the detection of high CVD risk included overweight (OR = 1.36, 95% CI : 1.16 – 1.60), obesity (OR = 1.80, 95% CI : 1.43 – 2.26), current smoking (OR = 1.35, 95% CI : 1.07 – 1.71), and alcohol drinking during past one year (OR = 1.24, 95% CI : 1.05 – 1.47). While underweight was a factor reversely related to the detection of high CVD risk.
      Conclusion  More effective interventions on body weight control, unhealthy lifestyle and dyslipidemia should be promoted among middle aged and elder community residents for cardiovascular disease prevention.

     

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