Researchers at the University of Michigan School of Public Health did a study to test the Chinese lunar calendar method of predicting a baby's sex. They reviewed the records of 2.8 million Swedish births. Then they used a website-customized algorithm to estimate each mother's lunar age and month of conception.
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There are many popular methods for predicting the sex of your baby, including the Ramzi Theory and the Chinese Gender Predictor. However, the only way to truly know the sex of your baby is through a prenatal test such as NIPT, CVS, or ultrasound.
More than half of the people want to know the gender of the baby before the baby gets born. They just have to wait for the moment that the gender is actually visible on the echo, after about 17 weeks.
While this is primarily a gender prediction method, many have used this chart to sway the odds for a baby boy or a baby girl. By consulting the Chinese birth chart, you can try to schedule the conception date to tip the scales in favor of your preferred gender, also known as gender swaying.
According to one account, the method was first revealed to the public in a Hong Kong newspaper in the 1970s. The article states that this Chinese gender predictor tool was used in the imperial court of the Qing Dynasty.
There are a wide variety of gender prediction methods that do not involve charts, age, or which lunar month a baby is born in. In 2009, researchers published a sociological study of pregnant women in China. The study asked whether the women hoped for a boy or a girl, what gender they thought their babies would be, and various methods and explanations for why they believed they were having a boy or a girl.
Gender and sex are terms often used interchangeably, but they hold different meanings. Sex refers to the biological attributes such as male or female based on physical characteristics. Gender, on the other hand, is a social and cultural construct encompassing roles, behaviors, and identities that society associates with being masculine or feminine. The Chinese gender prediction method is more focused on predicting the biological sex of the baby rather than their gender identity.
Proponents of this method suggest that the Chinese gender predictor chart is one of the more accurate ways to guess whether you are having a boy or a girl, compared to its gender-predicting competitors, such as the types of pregnancy cravings (sour for boys, sweet for girls). In reality, though, it has only a 50/50 chance of being correct, so don't plan your gender-reveal party just yet!
At your 20 week scan you may be able to find out the sex of your baby. If you want to be told, you should ask the sonographer at the start of the scan, so they know that they need to check. Some hospitals may refuse to tell you sex of the baby. Speak to your sonographer or midwife to find out more.
Back in ancient China, people believed that you could use a legendary Gender Chart to predict if you were going to have a baby boy or baby girl. According to legend, the Chinese Gender Calendar was buried in a royal tomb and was discovered more than 700 years ago.
I saw that a few of you enjoyed the "Chinese" gender predictor and I thought I'd share this with all of you. My Russian (ukrainian to be exact) aunt did this for me. It was interesting but just folklore like all of these other predictors - I think we all know that it's really all about the X and Y :-P
4. According to my aunt a woman's blood "changes" every 3 years and a man's will "change" every 4. It's just folklore and there is NO scientific data to support this, actually it doesn't make much sense! LOL! SO whoever, you or DH's, blood is "newer" at the time of conception will equal the sex of the baby.
SOOO in this case both parent's blood "changed" in '08 and they conceived in '09. In this case you then look at the day and month. The mother's blood "changed' in June of '08, but the father's blood "changed" in December of '08. Because the father's blood is "newer" than the mother's their baby would be a boy!
It is, however, not well established, whether the prevalence of thyroid disorders in pregnant women is different according to the foetal gender. Additionally, foetal gender-specific reference range has not been established yet. Actually, for the determination of TSH pregnancy-specific reference range, the European Thyroid Association and American Thyroid Association (ATA) guidelines propose to exclude the following conditions: TAI, severe iodine deficiency, twin and assisted pregnancies and using local/institutional assay for TSH (12, 13).
For the logistic regression analyses, dependent outcomes were: increased serum TSH levels, TAI and IH, respectively. Besides the foetal gender, other independent variables were gestational age at blood sampling, maternal age, BMI, a Caucasian background, tobacco use, parity, a history of >1 first-trimester miscarriage and TAI.
When one or more independent variables were associated with a dependent outcome in the univariable analysis, they were further implemented in a multivariable logistic analysis. We did not make a P-value correction for the logistic regression as we performed separate analyses for each outcome. For the multiple comparisons between groups with and without TAI, according to the foetal gender and gestational age, we performed a correction and considered P We hypothesise that this is associated with the higher hCG levels in women pregnant with a FF, as reported in a number of papers (10, 18, 19, 20). Furthermore, different isoforms of hCG with another affinity/action on the TSH receptor have been described (21, 22, 23). Finally, it is suggested that concentrations of the antiangiogenic soluble fms-like tyrosine kinase (sFlt1) and proangiogenic placental growth factor (PlGF) vary according to the foetal gender and may partially influence the highly vascularised thyroid through the hCG stimulation response (24, 25). Nevertheless, differences in thyroid function according to the foetal gender seem to persist after adjustment for sFlt1 and PlGF (26).
Foetal gender was not associated with increased serum TSH levels (and SCH), but TAI (higher risk) and parity (lower risk) were. Our results are consistent with those in literature concerning TAI but not for parity (3).
Concerning our second main study result, the difference in the TSH upper limit of gender-specific reference range during the first trimester, this should be investigated in relation to pregnancy outcomes to know if it has any clinical importance. Therefore, the foetal gender should be known before thyroid tests are measured. Actually, the first foetal ultrasound is performed too soon during pregnancy (12 weeks) to determine the foetal gender with high accuracy, which is now 79% (33). An option to determine foetal gender sooner is the non-invasive prenatal testing, a method based on the analysis of cell-free foetal DNA found in maternal blood early in pregnancy. This test has become a regular screening test for the most common foetal aneuploidies and X-linked disorders (34). Based on it, foetal gender can be determined with a high accuracy from the 7th week of gestation onwards. However, for the time being, the use of these technologies for sex selection raises a number of ethical issues (34).
Concerning the other results in the logistic regression analyses, foetal gender was not associated with the presence of TAI. Maternal age and a Caucasian background were associated with a higher risk and BMI with a lower risk of TAI. In a Danish study, maternal age >30 years was a risk factor for the development of all types of thyroid disease before, during and/or after pregnancy (35), but this was not the case in two other studies (36, 37). The association between women with a Caucasian background and a higher prevalence of TAI remains controversial in the literature, and mechanisms were discussed in a previous review paper (3). Obesity increases the susceptibility to harbour TAI with leptin as a peripheral determinant (38). In a study investigating predictors of TAI, a sensitivity analysis yielded a poor discriminative ability for TAI (2).
Finally, we observed no association between the foetal gender and IH; only TAI was associated. In a review paper, TAI was not an important etiologic factor for the development of IH (39). However, in a recent Dutch study, the prevalence of elevated TPOAb was twice as high in women with IH (taking all FT4 cut-offs into account), compared with that in euthyroid women (40). The role of iron deficiency needs to be investigated further in this context since it might link TAI and lower FT4 levels (1).
The major limitation of our study is the absence of hCG levels that would have consolidated our results. As a surrogate measurement, we used groups of the gestational age at blood sampling. Concerning the gender-specific reference ranges, we did not correct for (severe) iodine deficiency, but it has to be mentioned that in two studies serum TSH concentrations did not vary significantly according to the iodine status (lowest values 250 µg/L) (17, 41). This suggests that normal reference ranges can be determined based on data also from mildly iodine-deficient populations as it is the case in the Brussels area (17, 41).
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