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Pregnant women need more calories... or not
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According to a recent study published in Proceeding of the Royal Society B: Biological Sciences, a mother’s diet can determine the gender of her child. Fiona Matthews and a team of scientists wanted to test if a certain foods would impact the woman’s offspring. Matthews and her colleagues asked 740 first-time mothers who did not know the gender of their baby, to provide detailed records of eating habits before and after the pregnancy. Depending on their calorie intake, the women were split in three categories.

Fifty-six percent of the woman with the highest calorie intake had sons, compared to forty-five percent of the woman with fewer calories. The study also reported that the woman who gave birth to sons also had more potassium, Vitamins C, E, and B12.

"This research may help to explain why in developed countries, where many young women choose low calorie diets, the proportion of boys is falling," Mathews said.

The link between a rich diet and male children may have an evolutionary explanation. This could eventually lead to a process of “natural” gender selection, which to some, can be a major problem. Personally, it is not such a problem unless the woman is putting herself and the child in danger. Someone purposely giving birth to either a boy or a girl is never a good thing. But, “to each their own,” I say. I have learned that everyone has their own reasons for doing particular things, and I am certainly not the one to judge.


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I'm not convinced
By Erika A Apr 23rd 2008 at 5:07 pm EDT
I’m not sure if we have to worry about people using this information to purposely have a boy or a girl. I don’t find the data very convincing that the amount of calories a mother eats actually matters in determining the sex of the baby. 56% and 45% are not far off from the 50% chance you could expect and I’m not sure that the difference is significant. So let’s say someone who wanted a boy were to increase the calories in her diet. She would still have a 44% chance of having a girl. Because the difference in the study is so small, I feel like it might be a coincidence or a sample size that wasn’t big enough.
  
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