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克拉科夫研究13年随访中与通气功能变化及慢性阻塞性肺疾病发生相关的因素。慢性阻塞性肺疾病的风险。

Factors associated with the change in ventilatory function and the development of chronic obstructive pulmonary disease in a 13-year follow-up of the Cracow Study. Risk of chronic obstructive pulmonary disease.

作者信息

Krzyzanowski M, Jedrychowski W, Wysocki M

出版信息

Am Rev Respir Dis. 1986 Nov;134(5):1011-9. doi: 10.1164/arrd.1986.134.5.1011.

DOI:10.1164/arrd.1986.134.5.1011
PMID:3777663
Abstract

In a longitudinal, epidemiologic study, we investigated the relation of a number of factors to the loss of ventilatory lung function over time and to the incidence of chronic obstructive pulmonary disease (COPD). Data on 759 men and 1,065 women 19 to 70 yr of age examined twice during a 13-yr period were analyzed. The decline rate in FEV1 was related to age and was greater in persons with lower FEV1 values and in taller persons. The clear relation to smoking was confirmed. Occupational exposure to dusts in men and to variable temperatures in women significantly increased the FEV1 decline rate. In men in blood group A, the loss of FEV1 was smaller than in men in the other blood groups. In women who had had 4 or more children, we observed a faster decline in FEV1. In the analysis of COPD incidence, we confirmed that age, baseline FEV1 value, and, in men, smoking habit are the most important predictors of disease. Among women, also, attacks of breathlessness were demonstrated to increase disease risk twofold (p less than 0.10), even after adjustment for other factors in the logistic regression model. We estimated the index of risk for COPD and predicted 63% of male and 67% of female cases in the top 20% of risk distribution.

摘要

在一项纵向流行病学研究中,我们调查了多种因素与通气肺功能随时间的丧失以及慢性阻塞性肺疾病(COPD)发病率之间的关系。分析了在13年期间接受两次检查的759名19至70岁男性和1065名女性的数据。FEV1的下降率与年龄有关,在FEV1值较低的人和较高的人中下降幅度更大。吸烟与之的明确关系得到了证实。男性职业性接触粉尘以及女性接触温度变化均显著增加了FEV1下降率。在A型血男性中,FEV1的丧失比其他血型的男性小。在生育过4个或更多孩子的女性中,我们观察到FEV1下降更快。在COPD发病率分析中,我们证实年龄、基线FEV1值以及男性的吸烟习惯是疾病最重要的预测因素。在女性中,即使在逻辑回归模型中对其他因素进行调整后,气喘发作也被证明会使疾病风险增加两倍(p<0.10)。我们估计了COPD的风险指数,并在风险分布最高的20%人群中预测了63%的男性病例和67%的女性病例。

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