CIGARETTE-SMOKING AND THE AGE AT MENOPAUSE
CIGARETTE-SMOKING AND THE AGE AT MENOPAUSE
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DOI：
10.1080/03014468200005591
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发表时间：
1982-01-01
影响因子：
1.7
通讯作者：
GALLAGHER, HG
中科院分区：
文献类型：
--
作者：
ADENA, MA;GALLAGHER, HG
在15,464名表面上健康的澳大利亚妇女的样本中，每天吸烟10支或更多的妇女的平均自然绝经年龄比其他妇女低1.3岁。这些分布很好地描述了logistic分布具有相同的方差。一项平行的非参数Kaplan-Meier分析证实，重度吸烟者比其他女性更早达到绝经期，并且还表明这些女性准确地回忆了她们绝经时的年龄。Logistic回归分析显示，肥胖、饮酒和经常服用阿司匹林等镇痛药、镇静药、安定药或抗抑郁药对自然绝经年龄分布无影响。与手术诱导绝经相比，年龄特异性自然绝经概率与吸烟史和肥胖无关。逻辑回归分析是一种强大的统计技术，用于分析数据，如年龄特定比例的仍在怀孕的妇女。它很容易应用和解释，它对任何特定数据集的适用性也很容易评估。
In a sample of 15,464 apparently healthy Australian women, the mean age for natural menopause of women who smoked 10 or more cigarettes a day was 1.3 yr lower than that of other women. These distributions were well described by logistic distributions with the same variances. A parallel nonparametric Kaplan-Meier analysis confirmed that heavy smokers reached menopause earlier than other women and also showed that the women accurately recalled their age at menopause. Logistic regression analyses were used to show that obesity, alcohol intake and regular use of aspirin and other analgesics, sedatives, tranquilizers or antidepressants did not affect the distributions of the age at natural menopause. The age-specific probability of natural compared with surgically induced menopause was independent of smoking history and obesity. Logistic regression analysis is a powerful statistical technique for analyzing data such as age-specific proportions of still menstruating women. It is easy to apply and interpret, and its aptness for any particular data set is readily assessed.