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What's Really Behind the Plunge in Teen Pregnancy?
It's time to look at boys' contributions.
By Liza Mundy
Posted Wednesday, May 3, 2006, at 10:20 AM ET

May 3—in case you didn't know it—was "National Day To Prevent Teen Pregnancy." In the past decade, possibly no social program has been as dramatically effective as the effort to reduce teen pregnancy, and no results so uniformly celebrated. Between 1990 and 2000 the U.S. teen pregnancy rate plummeted by 28 percent, dropping from 117 to 84 pregnancies per 1,000 women aged 15-19. Births to teenagers are also down, as are teen abortion rates. It's an achievement so profound and so heartening that left and right are eager to take credit for it, and both can probably do so. Child-health advocates generally acknowledge that liberal sex education and conservative abstinence initiatives are both to thank for the fact that fewer teenagers are ending up in school bathroom stalls sobbing over the results of a home pregnancy test.

What, though, if the drop in teen pregnancy isn't a good thing, or not entirely? What if there's a third explanation, one that has nothing to do with just-say-no campaigns or safe-sex educational posters? What if teenagers are less fertile than they used to be?

Not the girls—the boys?

http://www.slate.com/id/2140985/
 

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You start taking zinc supplements....that will get the fishies alive!

plus...its a great way to clear acne!
 

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However, assuming that a 1.5% decrease in sperm count also reduces fertility 1.5%, that only accounts for half the decline in teen pregnancy, as a compounded 1.5% annual decline from 117 in 1990 would result in a rate of 100.6 in 2000 rather than 84.

There is more to it.
 

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I wonder if they took into account those of us who drink mountain dew everyday?? Yellow #5 is great for the little swimmers.... I figure at this point I'm down to one swimmer, and he wears floaties
 

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Whenever you see the results of a long-term study the data is usually 3-5 years old - and occasionally longer. It takes quite awhile to gather all the necessary information, compile it into something that can be studied for any correlation, and then do the analysis. The more spread out the information sources are, the longer it takes as well.
 
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