评论
打印
They dichotomize people
他们对人们进行了区分
who had three nights a week or more
一边是每周有3晚以上睡眠障碍的人
and this was dichotomized, statistical note
这是区分后的统计数据
Many of you may be thinking
很多人会问
why dichotomize continuous variable
为什么要对连续变量进行两分
Here, this is the distribution
这是分布情况
pick at both ends so that we dichotomize
选择最极端的情况进行两分
So three days a week or more
一周3晚以上睡眠障碍
Will they more likely to have these outcomes?
那么这些人是不是更容易出现不良后果?
Yes
是的
So people who report poor sleep
自述睡眠不好的人
are more likely to be obese
更容易出现肥胖症
more likely to have diabetes
更容易得糖尿病
more likely to have history of heart disease
更容易有心脏病史
I'm showing the unadjusted end
我给大家看的是未调整的末端数据
to show what happens when we throw these things to the model
以展示将这些情况加入模型后出现的变化
the typical covariates and maybe a few other ones
典型的协变量和其他变量的情况
And a little bit about sleep duration
以及一些关于睡眠长短的数据
We saw especially from a number of other talks earlier
从前面报告人的研究我们可以看出
Dr. Redline, Dr. Van Cauter, Dr. Youngstedt
罗德莱恩博士 冯考特博士 和杨斯特德博士
especially looking at populations did from NHNES
特别关注了NHNES的人口数据
National Health and Nutrition Examination Survey
也就是全国健康营养检测调查的数据
and other nationally representative U.S. based sample
和其他有全国代表性的样本抽查数据
looking at the relationship between habitual sleep duration
他们研究了以7小时为参照系的
relative to 7 hours and risk of obesity
习惯性睡眠长短与肥胖症
having diabetes, hypertension, high cholesterol
糖尿病 高血压和高胆固醇之间的联系
You'll notice that
大家可以注意到
I have broken apart the very short and the very long
我把很短和很长的睡眠数据进行了分解
separately from what we would normally consider
从我们通常认为的短期和长期睡眠数据中
some of the short and long showing
分离出来
that these groups are really the same categorically different
结果显示这些不同类型群体的数据其实是相同的
A lot of these studies that might show
很多研究显示
inconclusive of results might have to do
很多研究结果对不同的异质人群
with lumping, heterogeneous groups together
进行了整合性研究
