TLDR: Asians have higher BMI and body fat than White women. It’s a racial difference.
Logically, wouldn’t they have messed-up hormones and diabetes, then? Let’s see!
5,000 words -ish.
High BMI, high Testosterone
“cardiometabolic clinical correlates related to total testosterone (TT), free testosterone (fT), androstenedione (ASD), dehydroepiandrosterone-sulfate (DHEAS), estrone (E1), estradiol (E2), and sex hormone-binding globulin (SHBG).
Results: Waist circumference and BMI (β-coefficient: -0.03; 95% CI: -0.04; 0.03) were inversely related to SHBG, and BMI was positively related to TT (β-coefficient: 0.005; 95% CI: 0.001; 0.009), fT, E1, and E2. Smoking was positively related to TT (β-coefficient: 0.04; 95% CI: 0.01; 0.06), ASD, and fT. Systolic blood pressure (TT: β-coefficient: 0.002; 95% CI: 0.001; 0.003), hypertension (TT: β-coefficient: 0.05; 95% CI: 0.003; 0.11), low-density lipoprotein (LDL) cholesterol (TT: β-coefficient: 0.02; 95% CI: 0.01; 0.05), and total cholesterol (TT: β-coefficient: -0.03; 95% CI: 0.01; 0.05) were positively related to TT and ASD. Finally, type 2 diabetes mellitus (T2DM), and metabolic syndrome (MetS) were positively related to fT, but inversely related to SHBG.
Conclusions: Our population-based study, with sex hormone concentrations measured by liquid chromatography tandem mass spectrometry, revealed associations between clinical correlates including waist circumference, smoking, cohabitation, systolic blood pressure, cholesterol, and MetS with sex hormones. Thus, sex hormones and SHBG may play a role in the cardiovascular risk profile of women.”
I’ve posted about WHR before.
Both obesity and anxiety symptomatology were separately associated with the same sex hormone alteration in premenopausal women: higher total testosterone level (0.97 ± 0.50 in obese vs. 0.86 ± 0.49 nmol/L in normal-weight women, p = 0.026 and 1.04 ± 0.59 in women with vs. 0.88 ± 0.49 nmol/L in women without anxiety symptomatology, p = 0.023). However, women with anxiety symptomatology had non-significantly higher estradiol levels than women without anxiety symptomatology (548.0 ± 507.6 vs. 426.2 ± 474.0 pmol/L), whereas obesity was associated with lower estradiol levels compared with those in normal-weight group (332.7 ± 386.5 vs. 470.8 ± 616.0 pmol/L). Women with anxiety symptomatology had also significantly higher testosterone and estradiol composition (p = 0.006). No associations of sex hormone levels and BMI with anxiety symptomatology in postmenopausal women were found.
Conclusions: Although both obesity and anxiety symptomatology were separately associated with higher testosterone level, there was an opposite impact of anxiety and obesity on estradiol levels in premenopausal women. We did not find an evidence that the sex hormone alterations related to obesity are playing a significant role in anxiety symptomatology in premenopausal women. This could be the explanation why we did not find an association between obesity and anxiety. In postmenopausal women, other mechanisms seem to work than in the premenopausal group.
Regional fat distribution (RFD) has been associated with metabolic derangements in populations with obesity. For example, upper body fat patterning is associated with higher levels of free testosterone (FT) and lower levels of sex-hormone binding globulin (SHBG). We sought to determine the extent to which this relationship was true in a healthy (i.e., non-obese) female population and whether RFD influenced androgen responses to resistance exercise. This study examined the effects of RFD on total testosterone (TT), FT, and SHBG responses to an acute resistance exercise test (ARET) among 47 women (22+/-3 years; 165+/-6 cm; 62+/-8 kg; 25+/-5%BF; 23+/-3 BMI). RFD was characterized by 3 separate indices: waist-to-hip ratio (WHR), ratio of upper arm fat to mid-thigh fat assessed with magnetic resonance imaging (MRI ratio), and ratio of subscapular to triceps ratio (SB/TRi ratio). Skinfolds were measured for the triceps, chest, subscapular, mid-axillary, suprailaic, abdomen, and thigh regions. The ARET consisted of 6 sets of 10 RM squats separated by 2-min rest periods. Blood was obtained pre- and post- ARET. TT, FT, and SHBG concentrations were determined by radioimmunoassay. Subjects were divided into tertiles from the indices of RFD, and statistical analyses were performed by an ANOVA with repeated measures (RFD and exercise as main effects). Significant (p < or = .05) increases following the AHRET were observed for TT (approximately 25%), FT (approximately 25%), and SHBG (4%). With multiple regression analysis, anthropometric measures significantly predicted pre- concentrations of FT, post-concentrations of TT, and pre-concentrations of SHBG. The SB/TRi and MRI ratios but not the WHR, were discriminant for hormonal concentrations among the tertiles. In young, healthy women, resistance exercise can induce transient increases in testosterone, and anthropometric markers of adiposity correlate with testosterone concentrations.
So exercise will boost a woman’s natural T. If they already have high T….
If their BMI is higher for their size, they already have high T comparatively. If they already have it racially… probably not good.
Results: Breast cancer risk increased with increasing BMI (Ptrend = .002),
Rare study looking at race directly. White v Black.
Compared to the decline in E2 concentrations, androgen concentrations declined minimally over the MT. T (β 9.180, p < 0.0001) and E1 (β 11.365, p < 0.0001) were higher in Whites than in AAs, while elevations in DHEAS (β 28.80, p = 0.061) and A4 (β 0.2556, p = 0.052) were borderline. Log-transformed E2 was similar between Whites and AAs (β 0.0764, p = 0.272). Body mass index (BMI) was not significantly associated with concentrations of androgens or E1 over time.
so black and white is off the hook
This report suggests that the declines in E2 during the 4 years before and after the FMP are accompanied by minimal changes in DHEAS, A4, T, and E1. There are modest differences between Whites and AAs and minimal differences by BMI.
Cancer and Testosterone link
During a median follow up of 6.3 years, 45 patients relapsed. Testosterone levels significantly increased across BMI categories (p = 0.001). Both circulating testosterone and BMI were positively associated with disease free survival (p = 0.005 and p = 0.021, respectively). A significant interaction was found between testosterone and BMI (p = 0.006). For normal-weight women, testosterone concentration around median (0.403 ng/mL) or third quartile (0.532 ng/mL) showed a high significant HR of relapse (5.52; 95% CI:1.65–18.49 and 4.55; 95% CI:1.09–18.98, respectively). Overweight patients showed increased HR at increasing testosterone levels, reaching a significant high HR (4.68; 95% CI:1.39–15.70) for testosterone values of 0.782 ng/mL (95th percentile). For obese patients HR decreased (not significantly) at increased testosterone concentrations, explaining the interaction between testosterone levels and BMI categories.
In ER-positive postmenopausal breast cancer patients, high testosterone levels are associated with worse prognosis in normal-weight and overweight women, whereas in obese seems to be associated with a better outcome. Although the results require further validation, they suggest that assessment of circulating testosterone and BMI could help to identify postmenopausal ER-positive patients at higher risk of relapse and potentially open new therapeutic strategies.
High T isn’t good, even in normal weight women. Water is wet.
“The findings of this study suggest high plasma levels of testosterone could play a role in the pathogenesis of type 2 diabetes among women,” Jon Jarløv Rasmussen, MD, PhD, a specialist registrar and postdoctoral researcher in the department of endocrinology at Rigshospitalet in Copenhagen, Denmark, told Healio. “The incidence of type 2 diabetes was rather low in the study, but the results implicate that screening for type 2 diabetes among women with higher plasma levels of testosterone may be beneficial, even among women who are young and without established comorbidities, such as polycystic ovary syndrome.”
In a retrospective study, Rasmussen and colleagues analyzed data from 8,876 healthy women (mean age, 38.5 years) who provided blood samples to measure plasma testosterone, dehydroepiandrosterone-sulfate (DHEAS), dihydrotestosterone (DHT) and sex hormone-binding globulin (SHBG) between January 2007 and December 2015. Researchers analyzed androgens using tandem liquid-chromatography mass spectrometry. Researchers used Poisson regression models to calculate incidence rate ratios for developing type 2 diabetes during a median follow-up of 8.1 years, stratified by androgen quartiles.
‘Normal weight’ women can get Type 2. Since Asians have higher T from higher BMI (against the white norm), they’ll be more likely to get it. This also explains the gestational diabetes common in Asian women, especially if the baby is mixed.
Nationwide, as many as 1 in 4 people who have diabetes don’t know they have it. But for Asian Americans, that number is much higher—1 in 2, the highest of all ethnic/racial groups. Why aren’t more getting diagnosed?
Weebs do not mention this. If your apparent rationale for avoiding fat white women is avoiding the Diabeetus genes, Asian is then categorically the worst racial group to mix with.
1 in 2, flip a coin, rice cooker.
I bet it’s higher in the women due to sweet tooth, so likely worse.
But people of Asian descent have less muscle and more fat than other groups and often develop diabetes at a younger age and lower weight. That extra body fat tends to be in the belly (visceral fat). This isn’t the “inch you can pinch,” the fat stored just under the skin. Visceral fat is out of sight, wrapped around organs deep in the body. You can’t tell how much visceral fat someone has by looking at them.
I didn’t call them skinny-fat to be mean, they really are!
Visceral fat is also sometimes known as “active” fat because it drives certain processes in the body that can increase the risk for heart disease, stroke, and other serious health conditions. Everybody has some visceral fat, but having too much is a major risk factor for developing type 2 diabetes.
….But BMI doesn’t catch Asian Americans in the normal weight range (18.5 to 24.9) who may very well have too much visceral fat and be at risk for type 2 diabetes. Researchers are now suggesting that people of Asian heritage get tested if their BMI is 23 or greater. Type 2 diabetes can be prevented or delayed, but only if people know they’re at risk and can take action!
They need a totally different (lower) testing standard, but they’re just like us, guys! Nay, SUPERIOR!
The same volume food in a smaller body, this isn’t hard to figure out. They’re not white women, eating like us makes them FAT.
re preggers diabetus-
Pregnant South Asian women carry a higher risk for developing gestational diabetes, a condition that’s dangerous for both mother and child. Between 2 and 10 percent of all pregnancies each year are complicated by gestational diabetes
2-10% in which demographic? Sounds like all? I bet it’s higher in certain ones, isn’t it?
Under risk factors is basically – be non-white
- Being of Hispanic, Native American, African-American, Asian-American or Pacific Islander descent.
Women who have had gestational diabetes have a 20 to 50 percent chance of developing diabetes in the 5 to 10 years following pregnancy.
Mother Nature is a bitch.
Specific study on Asian women-
so healthy, much fitness
Our data indicate that although the historical or clinical risk factors for GDM are valid in Asians, using risk factors alone to select such patients for testing for GDM is inadequate. Many Asian women who develop GDM have no risk factors at all.
When Natural Selection hates you so much… maybe give it up?
r-types have higher numbers of issues like this, that would be fatal under natural law
They don’t ‘choose’ to stop at 1-2 kids, it isn’t ‘culture’, it’s fear (see below).
To avoid overlooking significant numbers of women with GDM, one may lower the specificity of the criteria, but this requires that the majority of patients be tested.
wow, that bad
Logistically, it is much simpler to conduct universal screening for all Asian women in Western countries, rather than to apply selective testing in order to spare a small percentage of women from being tested. Therefore, our findings strongly support recommendations for universal screening for GDM in pregnant women of Asian origin in Western countries. However, in places where the incidence of GDM is low, such as in some developing countries, the selection of patients for testing by the risk factors may be reasonable.
just like us, huh?
has a bloody paywall, nevermind, still linking
Introduction: Asian women have a higher prevalence of gestational diabetes mellitus than women of other races/ethnicities. We aimed to compare the prevalence of gestational diabetes among Asian American women to other racial/ethnic groups and explore whether the higher occurrence of the disorder among Asian women can be explained by acculturation.
Clearly I am making this all up to feel better, right guys?
Why hide this one behind a paywall, hmm?
It is also here.
Among the 5,562 women studied, the weighted prevalence of gestational diabetes was 15.5% among Asian American women, followed by 9.0% among non-Hispanic black women, 10.7% among Hispanic women, and 7.9% among non-Hispanic white women.
15.5% v. 7.9%
Diabetes at DOUBLE the rate of whites!
but they’re just like us
2.44x the risk
and that’s controlled, independently
Compared with non-Hispanic white women, Asian women had 2.44 (95% confidence interval [CI], 1.81–3.29; P < .001) times the odds of having gestational diabetes, independent of maternal age, education, marital status, income, prenatal care adequacy, prepregnancy BMI, and physical activity. Acculturation was negatively associated with having gestational diabetes (odds ratio [OR] = 0.93; 95% CI, 0.86–0.99) and explained 15.9% (95% CI, 11.38%–25.08%; P < .001) of the association between Asian race and the condition.
About 85% genetic. Great odds.
We found that Asian race was an independent risk factor for gestational diabetes, and higher acculturation may play a protective role against it in Asian American women.
What is already known about this topic?
Asian women have a higher prevalence of gestational diabetes mellitus than women of other races. However, little data exist on why prevalence is highest among Asian women.
I sense genetics.
If they’re having unnatural babies (too large for their race, mixed) supported by modern medicine, they’d be more likely to die anyway, right? Medicine can only do so much. Weaker genes die a la Darwin.
The biggest r-select factor would be risk of death while breeding, that would be the surest thing. The genes trying to extinct themselves.
Does this data exist? Also for the neonates?
YOU BET IT DOES.
Let’s see the weebs explain away these studies. They’ll probably just ignore me… again.
Go ahead. Ignore your baby and waifu’s graves?
Pregnancy related mortality can be defined as death of the mother during pregnancy, delivery, or within one year postpartum. While 700 pregnancy-related deaths occur each year, 2/3 of these deaths are considered to be preventable.
Modern medicine, dysgenic again.
Overall pregnancy related mortality in the United States occurs at an average rate of 17.2 deaths per 100,000 live births. However, that number jumps to 43.5/100,000 for non-Hispanic Black women and decreases to 12.7/100,000 for non-Hispanic white women and 11/100,000 for Hispanic women.
No data listed for Asian, odd?
For mothers of all backgrounds, leading causes of death include cardiovascular conditions, hemorrhage, and infection. However, for non-Hispanic Black women, leading causes of death include cardiovascular conditions in addition to cardiomyopathy, pre-eclampsia, and eclampsia (hypertensive disorders).
Non-Hispanic Black women are also significantly more likely to have a severe maternal morbidity (SMM) event at the time of delivery. For every maternal death there are 70 cases of SMM events that are considered “near misses.” These events can have long-term or short-term consequences to a woman’s health. Over the past 20 years, cases of SMM have increased by over 200%, while cases disproportionately affect Black women. One study found Black women experienced SMM at a rate 2.1 times greater than that of white women.
To better understand and address these disparities, researchers suggest providers increase screening for social determinants of health. Levels of stress, trauma, food insecurity, neighborhood violence, and access to prenatal care are all factors that may contribute to the disparities and warrant further investigation.
Although most maternal deaths result from cardiovascular and hypertensive disorders, researchers found Asian/Pacific Island women exhibit the highest prevalence of gestational diabetes, which can increase pregnancy complications, at 14.8%.
One study presented in the session focused on behavioral interventions and protective factors among women with gestational diabetes. A Kaiser Permanente analysis of women in northern California found Black women have a lower prevalence of gestational diabetes when compared with Asian Indian, Filipina, Southeast Asian and Chinese women. White women had the lowest rates of the disease overall.
Screening for postpartum diabetes is recommended to all women within 4 to 12 weeks postpartum. However, rates of screening vary among women with different racial and ethnic backgrounds, suggesting tailored strategies to reduce risk and improve healthcare behaviors may be effective.
Racial medicine, openly.
An additional study explored how racial and ethnic disparities impact severe neonatal morbidities, specifically among very preterm children (born <32 weeks of gestation). Preterm birth has been associated with several health conditions developing later in life, including diabetes.
Presenter Teresa Janevic, PhD, defined race as “linked to phenotype and /or ancestry that indexes one’s location on the US social hierarchy of socially constructed groupings (i.e., races) that has been based primarily on skin color.”
genes aren’t social
Africans in Africa also have the same ‘risk’ as one in America. No magic dirt.
In contrast, Janevic defined ethnicity as “tied to race and used both to distinguish diverse populations and to establish personal or group identity, usually based on shared culture or beliefs.”
Culture? Belief? Believe your way out of diabetes. I’ll wait.
In a population-based retrospective cohort analysis using hospital discharge data linked with vital statistics at birth and death records, researchers determined Black infants were at the highest risk of dying within less than 28 days after discharge, or suffering neonatal morbidities in the time between birth and discharge. Black infants were followed by Hispanic infants, while white and Asian infants had similar low risks.
We’ll see about that.
Of the 39 New York City hospitals included in the study, researchers found a 6-fold difference in risk of combined mortality and morbidity outcomes. “Black infants were at twice the risk of being at a hospital that has risk-adjusted high rates of combined mortality and morbidity,” Janevic noted, while Hispanic infants had a 1.5 increased risk to receive care from one of these hospitals. “Hospital quality where women of color deliver likely contributes to these disparities,” she concluded.
Like schools, it depends on the IQ of the people working there.
Another investigation detailed how environmental factors and population level exposures impact disparities in preterm birth and infant mortality. “Non-Hispanic Black infants compared with non-Hispanic white infants have twice the risk of death in the first year,” explained presenter Heather Burris, MD. “This is particularly striking because Black infants just make up 15% of all births in the United States but are counting for 29% of all deaths.”
Among causes of infant death, preterm birth and low birth weight related death, along with pregnancy complications, account for the highest racial and ethnic disparities between non-Hispanic Black and white infants. Black infants are also significantly more likely to be born preterm than white infants.
an r-factor unless twins
Researchers note genetics and education level have very little impact in accounting for disparities in preterm birth. Although women with higher education tend to have lower preterm birth rates, Black women who graduated from college have a higher risk of preterm birth than white women who dropped out of high school.
I’m so glad white people already survived multiple genetic purges in our history.
Through analyzing delivery data and creating models based on air pollution severity in Philadelphia, Pennsylvania, investigators discovered air pollution is associated with spontaneous preterm birth. Data also show Black Americans experience consistently higher exposure to air pollutants, measured in fine particulate matter (PM)2.5.
An additional analysis between preterm birth and nationwide neighborhood deprivation index (encompassing income below the poverty level, vacant homes, education levels, among other factors) found that Black women experience neighborhood deprivation exposure at almost 2 standard deviations (SDs) higher than white women in Philadelphia.
Overall, Black women are 4 times more likely to live in a neighborhood with high violent crime and high air pollution than white women. “When we look at preterm birthweights, we can see that it is women living in these high-high neighborhoods that have the highest risk of preterm birth,” Burris said. However, these associations were consistent regardless of race.
They gestate for less time than whites, this is known. Africans in Africa do it.
Now we’ve established some things. An r-study in Asian women.
Increased Perinatal Morbidity and Mortality Among Asian American and Pacific Islander Women in the United States
Background: Asian American/Pacific Islanders (AAPIs) are the fastest-growing racial group in the United States.
America is now owned by Asia, demographically.
Despite a higher socioeconomic status, AAPI women experience higher rates of maternal morbidity and mortality.
can’t pay your way out of r-genes
if controlled for SES, aka $, their data would be even worse
Methods: Using the National Inpatient Sample, we performed a retrospective cohort analysis of women who were hospitalized for delivery from 2002 to 2013. The primary outcome variable was inpatient mortality rate, and the presence of severe maternal morbidities was estimated using the Bateman Comorbidity Index, a validated tool for predicting obstetric morbidity.
Results: AAPI women presenting for delivery between 2003 and 2012 were older, more likely to reside in a zip code in the top quartile of annual income, be privately insured than Caucasian women,
where’s Asian privilege?
and less likely to have a higher Bateman Comorbidity Index. However, AAPI women had a higher likelihood of postpartum hemorrhage (3.4% vs 2.7%, P < .001), uterine atony, severe perineal lacerations, and severe maternal morbidities. Procedures such as transfusion, hysterectomy,
So they could have one kid and die, have one kid and have that die, OR have one kid and then their organs all removed – so no more kids?
Yes clearly our biological superiors, right weebs? Totally not rationalising a fetish, are we?
I wonder why one child was law? They don’t have a culture of many kids because they’re too r-select to survive without modern medicine. Wake up. They pretend 1-2 is a choice and that’s why they mock and envy large white families (3+ standard) like the Amish. They envy us that ability. They would die.
and mechanical ventilation were also more common in AAPI women.
Calling it – Mother Nature is anti-Asian.
Furthermore, AAPI women had a higher mortality rate that persisted despite adjustment for an apparently higher income and comorbidities (odds ratio 1.72, 95% confidence interval: 1.14-2.59, P = .01).
Conclusions: Despite having a higher socioeconomic status, AAPI women had higher rates of maternal mortality during hospitalization for delivery. This increase persisted even after adjustment for factors known to affect peripartum outcomes. Further investigation is needed to better clarify the causes of racial differences in maternal morbidity and mortality.
Science says –
If you want to survive childbirth – be white.
Almost like we evolved to during the Ice Age.
Results: A total of 360,370 women with postpartum hemorrhage from 2012 to 2014 were included in this analysis. Risk for severe morbidity was significantly higher among non-Hispanic black women (26.6%) than non-Hispanic white, Hispanic, or Asian or Pacific Islander women (20.7%, 22.5%, and 21.4%, respectively, P < .01).
The white is 20%, Asian is 21%.
And these are the fattest white people, like, ever.
White and Asian bolded-
For non-Hispanic black compared with non-Hispanic white, Hispanic, and Asian or Pacific Islander women risk was higher for disseminated intravascular coagulation (8.4% vs 7.1%, 6.8%, and 6.8%, respectively, P < .01) and transfusion (19.4% vs 13.9%, 16.1%, and 15.8%, respectively, P < .01). Black women were also more likely than non-Hispanic white women to undergo hysterectomy (2.4% vs 1.9%, P < .01), although Asian or Pacific Islander women were at highest risk (2.9%). Adjusting for comorbidity, black women remained at higher risk for severe morbidity (P < .01). Risk for death for non-Hispanic black women was significantly higher than for nonblack women (121.8 per 100,000 deliveries, 95% confidence interval, 94.7-156.8 vs 24.1 per 100,000 deliveries, 95% confidence interval, 19.2-30.2, respectively, P < .01).
The weebs either did 1. no research (typical gammas) or 2. they’re delusional.
Almost double the risk of hysterectomy, roughly. An additional 52% risk over white women, minimum, in just this study.
What’s the point of being married to them, at that point? Their baby machine is broken.
Infant Mortality and Asian Americans
Yes, we’re going there.
- Asian American infants are 40 percent more likely to die from maternal complications as compared to non-Hispanic white mothers.
They have boy hips, duh.
For such a small segment of the population, their numbers shouldn’t be so high.
It doesn’t discuss mixed kids, I wonder why?
- Non-Hispanic black (black) and non-Hispanic American Indian/Alaska Native (AI/AN) women experienced higher PRMRs (40.8 and 29.7, respectively) than all other racial/ethnic populations (white PRMR was 12.7, Asian/ Pacific Islander PRMR was 13.5 and Hispanic PRMR was 11.5). This was 3.2 and 2.3 times higher than the PRMR for white women – and the gap widened among older age groups.
Notably, we found that, when aggregated, the top cause of death among Asian Americans is cancer. However, when disaggregated, there is wide variation in the leading cause of death. For instance, for Asian Indians, nearly twice as many men die of heart disease (31 percent), compared to cancer (18 percent). In contrast, for Koreans, the opposite is true — the death rate for cancer (34 percent) is much higher than the death rate for heart disease (19 percent).
Remember the breast cancer and Asian BMI/testosterone stuff?
Research led by the University of Birmingham has found that increased levels of hormones including testosterone could cause a brain condition that can lead to blindness in women.
We are all jealous of your waifu, yes.
Idiopathic Intracranial Hypertension—also known as IIH—is caused by high pressure in the brain with consequences from blindness to incapacitating daily long-term headaches. IIH was originally identified over 100 years ago yet the cause of the condition has remained unknown although there has been much speculation about why more than 95 per cent of total incidence is in women with obesity.
And Asians, they’re 1/2 obese in America!
They then compared the results with the levels observed in women with obesity of the same age and body mass index (BMI), as well as a cohort of women with polycystic ovary syndrome (PCOS).
PCOS is far more common in Asians. Look it up.
Most notable were the high levels of the androgen ‘testosterone’ found in the blood in IIH women. Crucially, levels of androgens were uniquely increased in the brain fluid (CSF) of women with IIH. When the researchers, analysed human choroidal plexus tissue, which is the site in the brain where CSF is produced, they confirmed that androgens could increase the rate of CSF secretion, a potential driver for increased brain pressure.
Brain damage. How sexy.
On the other hand, South Asian women with PCOS, the region comprising the Indian subcontinent and surrounding countries, are known to have a higher degree of hirsutism…
Asian women with PCOS were more likely to have diabetes compared with Caucasian patients, suggesting they also have metabolic complications.
Genetic components play important roles in the pathogenesis of PCOS,
Do their dodgy hormones make South Asians partially infertile?
Yes. Yes they do.
Results: We found that the South Asian women presented at a younger age for the management of sub-fertility. An extended stimulation phase and Caucasian ethnicity showed an inverse correlation with the number of oocytes retrieved in the PCOS subgroup. Caucasian ethnicity was associated with a higher fertilization rate however increase in body mass index (BMI) and the laboratory technique of IVF appeared to have a negative impact on fertilization rates in the PCOS subgroup. Commencing down regulation on day 1 of the cycles was negatively associated with fertilization rates in the tubal group. In terms of clinical pregnancy rates, the Caucasian PCOS had a 2.5 times (95% CI: 1.25-5) higher chance of an ongoing clinical pregnancy as compared with their Asian counterpart. Also, a unit increase in the basal FSH concentration reduced the odds of pregnancy by 18.6% (95% CI: 1.8-32.6%) in the PCOS group.
Conclusions: The Asian PCOS have a greater sensitivity to gonadotropin stimulation with lower fertilization and ongoing clinical pregnancy rates as compared with their Caucasian counterparts.
White women win again.
testosterone levels were higher in PCOS cases than in controls (P = 0.008 and 0.003, respectively).
But IVF, right? WRONG
The ethnicity of women undergoing fertility treatments like IVF can affect the rate of successful live births, according to new research. After adjusting for certain factors including age of patient at time of treatment, cause of female or male infertility, and type of treatment, the study found that White Irish, South Asian Indian, South Asian Bangladeshi, South Asian Pakistani, Black African, and Other Asian women had a significantly lower odds of a live birth than White British women.
White women, still winning. Thank God for the Ice Age.
Overall, studies have shown higher testosterone levels in women and lower levels in men are related to incident diabetes. The major risk factors contributing to diabetes are biochemical, environmental, sedentary lifestyle, socioeconomic status and genetic factors. All of them together or independently are responsible for the development of the DM.  Besides, certain studies show Impaired Glucose Tolerance (IGT) is more common in females than males independent of age. 
We found a high prevalence of GDM among the Asian population. Asian women with common risk factors especially among those with history of previous GDM, congenital anomalies or macrosomia should receive additional attention from physician as high-risk cases for GDM in pregnancy.
In the post-menopausal group, estrogens, testosterone and androstenedione increased with increasing BMI.
Let’s look at objective hotness!
Body mass index (BMI) was a very strong negative predictor of body attractiveness ratings, similar to previous findings. Zero-order associations between women’s mean hormone concentrations and mean attractiveness ratings were not significant; however, after controlling for BMI, attractiveness ratings were independently and positively associated with both estradiol and testosterone concentrations. Discussion focuses on the implications of these findings for whether attractiveness assessment mechanisms are specialized for the detection of cues of differential fecundity in young women’s bodies.
High T = ugly!
Did I mention water is wet? Can they seriously accuse of cherry picking? I’m not even looking hard.
Previously covered WHR, use search bar. Asians lose. Even black women do better.
Asians have way more T as a race than Europeans, get over it. Historically, we considered them savages, less civilized, for that reason. How is this surprising? Do you think we colonised India for fun? It’s obvious in the broad manjaws, duh. Marquardt covered this. Anyone can do a replication study, but I suggest you include the women too, so it isn’t just a sexual effect but race.
From a blog “East Asians were found to have the highest average total plasma testosterone (5,673 ρg/mL) followed by Africans (5,442 ρg/mL) and then Europeans (4,992 ρg/mL). Given that the sample size for Africans is smaller (N < 10,000), their relative position may change with more data. Nonetheless, the claim that East Asians have the least testosterone is not supported by scientific data. “
Yeah, fake redpills who think T = manly, good thing. It’s just a hormone.
“There is no way of accurately determining free testosterone. Even if there was, this would also be irrelevant since bio-availability is prime. Since race realists use total serum testosterone, why is this an issue?”
true, it’s just applying the same standard
Culturally, gang rape is more normal in Asia than Africa. This is why. You don’t get African Taharrush, really. Asia has Eve Teasing and the like. Trust me, you don’t want this.
“Mass sexual assault is the collective sexual assault of women, and sometimes children, in public by groups of unrelated men. Typically acting under the protective cover of large gatherings, victims have reported being groped, stripped, beaten, bitten, penetrated and raped.”
As for the contention that there are no studies indicating a 10% difference between East Asians and Europeans, I did find one age controlled study where the Chinese sample had 8.8% more total T, 11.4% more bio-available T and 12% more free T than the European sample. The Japanese sample had 10.5%, 5.1% and 6.7% more than Europeans respectively [Wu et al. 1995]. Wonder if race realists discuss this study, or perhaps they are too busy in celebratory dance around the Korean/Swede campfire?
They’re not really redpill. I believe data even if I dislike it. Asians have high T as a race. Get over it.
High T can also dovetail with lower national IQs e.g. India, so…. why want this? Low IQ nations have more crime.
Additionally, this recent study shows HK Chinese having some 3% more bio-available T than US Europeans.
Lol, he’s right. But T isn’t a good thing. It’s just a hormone, in men or women.
Being a race realists seems to be a length engagement with delusion, fantasy and ‘scientific’ homo-erotica.
Not here, son. I believe the T-data. Penis size generally correlates to racial height (in white men), not really T. Forum bros are wrong again. Penis stuff is sexual selection, aka chosen by women.
There was a similar increase in the positive effect of penis size on attractiveness with a more masculine body shape (i.e., greater shoulder-to-hip ratio). Surprisingly, larger penis size and greater height had almost equivalent positive effects on male attractiveness. Our results support the hypothesis that female mate choice could have driven the evolution of larger penises in humans. More broadly, our results show that precopulatory sexual selection can play a role in the evolution of genital traits.
It’s even subracial (national male height).
I appreciate the skin tone joke in this graphic.
But if you go by nation, and percentage of height....
So according to this, hate the French!
Surprised Croatians rank so low.
It was concluded that all penile measurements are interrelated to each other; the height and weight also the other body measurements that are related to the penile measurements in less than 50%. It seems that the penile measurements are polygenic traits and are under multifactorial influences.
There are racial differences in associations of hormone levels with age and BMI in late
reproductive age women. Further study is needed to replicate these findings and to determine the relationships of these hormonal associations with menopausal symptoms
Obesity is an important factor in hormone dynamics independent of age, race and smoking in mid-life women, although the mechanisms remain unclear.
From “A Study of the Correlation of Some Sex Hormone with Obesity in Women with Secondary Infertility” (google it)
Infertility is the inability to conceive a child for more than one year. The present study indicates
that the obesity associated with infertility. The aim of the study to determine follicle stimulating
hormone, luteinizing hormone, testosterone hormone and prolactin levels. and cholesterol and
triglyceride concentration in 2nd inferetid women. This study was carried out at kamal al-samaarai
hospital the data were collected from 95 secondary infertilial women were age between 16-45 years
old and grouped them in to obese (n = 46) and non obese(n = 49). There was no significant
difference between the two groups (p <0.05). Body mass index in Infertile obese women is slightly
higher than non obese Infertile women which is statistically significant (P<0.001). However LH,
TSH, cholesterol and triglyceride concentration in obese infertile women is significantly higher than
non obese infertile women (p >0.05).The BMI was correlated positively with triglyceride in obese
group while BMI was positive correlation highly significant with cholesterol in non obese group.
Regression analysis revealed obese to be strongly associated with observed infertility. The elevated
prolactin values in secondary infertile women clearly shows that there is a mechanism operating at
the anterior pituitary level which shows an abnormal distribution of FSH and LH which may further
explain the abnormal delay ovum maturation. This study also indicates obese associated with
infertile more than non obese women.
So, there’s a lot going on.