周伟英, 朱美英, 陆殷昊, 程旻娜, 李新建. 利用Framingham脑卒中概率模型估计老年人群的脑卒中风险[J]. 上海预防医学, 2015, 27(10): 598-601.
引用本文: 周伟英, 朱美英, 陆殷昊, 程旻娜, 李新建. 利用Framingham脑卒中概率模型估计老年人群的脑卒中风险[J]. 上海预防医学, 2015, 27(10): 598-601.
ZHOU Wei-ying, ZHU Mei-ying, LU Yin-hao, CHENG Min-na, LI Xin-jian. Estimating risk of stroke in elderly people by use of Framingham Stroke Risk Profile[J]. Shanghai Journal of Preventive Medicine, 2015, 27(10): 598-601.
Citation: ZHOU Wei-ying, ZHU Mei-ying, LU Yin-hao, CHENG Min-na, LI Xin-jian. Estimating risk of stroke in elderly people by use of Framingham Stroke Risk Profile[J]. Shanghai Journal of Preventive Medicine, 2015, 27(10): 598-601.

利用Framingham脑卒中概率模型估计老年人群的脑卒中风险

Estimating risk of stroke in elderly people by use of Framingham Stroke Risk Profile

  • 摘要: 目的 探索Framingham脑卒中概率模型在社区老年人群中的应用。方法 调查对象为参与上海市某社区体检的5 148名55岁及以上老年人。通过问卷调查收集健康状况及其相关危险因素的信息。测量血压、身高、体重和腰围。空腹采血检测血糖和血脂。结果 男性和女性对象的10年脑卒中平均概率分别为9.75%和6.22%(P<0.05)。除年龄因素外,男性老年人脑卒中的风险增高可能与吸烟率和房颤患病率较高有关。除血压和空腹血糖等风险模型相关变量外,腰围身高比和血清三酰甘油水平与脑卒中概率模型估计风险增加相关(OR=1.598,95%CI:1.371~1.864;OR=1.487,95%CI:1.225~1.783)。结论 除脑卒中模型中相关危险因素变量外,还要重视体重和血清三酰甘油的控制。对于男性老年人而言,戒烟是降低脑卒中风险的重要措施。

     

    Abstract: Objective To explore the application of Framingham Stroke Risk Profile in elderly people. Methods A total of 5 148 people aged 55 years and older who received physical examination in a community were enrolled. Information of their healthy status and risk factors were collected by interview using a questionnaire. Height, weight, waist circumference (WC), and blood pressure as well as fasting plasma glucose (FPG), and serum lipid were measured. Results The average 10-year probabilities of stroke in elderly people were 9.79% in men and 6.20% in women (P<0.05). Besides aging factor, higher risk probability in men might be related to their higher proportions of smoking and atrial fibrillation. In addition to blood pressure and FPG which were variables associated with risk profile, WC/height ratio (WHR) and serum triglyceride level were associated with increased risk of stroke estimated by stroke risk profile (OR=1.598, 95%CI:1.371~1.864; OR=1.487, 95%CI:1.225~1.783), respectively. Conclusion Besides factors which had been included by risk profile, it is important to pay attention to weight control and triglyceride level. For elderly male, to quit smoking is an important measure that decreases their risk of stroke.

     

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