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. Author manuscript; available in PMC: 2022 Jun 10.
Published in final edited form as: Curr Diab Rep. 2021 Jun 10;21(8):24. doi: 10.1007/s11892-021-01395-3

Maternal Diabetes and Infant Sex Ratio

Samantha F Ehrlich 1
PMCID: PMC8284925  NIHMSID: NIHMS1721658  PMID: 34110514

Abstract

Purpose of review:

Evolutionary hypotheses on the ratio of males to females at birth posit that women terminate pregnancies with low likelihood of surviving and producing grandchildren. Thus, females are preferred to males under unfavorable conditions. Much of this literature has focused on catastrophic disruptions that induce maternal stress and result in fewer males. Diabetes may similarly affect the sex ratio.

Recent findings:

A male bias at birth among infants born to women with GDM is widely recognized; mild hyperglycemia experienced early in pregnancy may signal favorable conditions and warrant investment in males. There are sparse data on women with pregestational diabetes, but some evidence for a female bias born to those with type 1 diabetes and severe hyperglycemia (i.e., requiring insulin). Disease-related maternal stress in these women may led to the selective termination of male fetuses.

Summary:

Further examination of pregestational diabetes stands to contribute to scientific understanding of the sex ratio.

Keywords: Diabetes, sex ratio, pregnancy, spontaneous termination, stress

Introduction

Scientific inquiry into the human secondary sex ratio, or the ratio of males to females at birth, dates back to at least 1662 (1) when John Graunt observed an excess of male over female births, and noted spatial and temporal variation in the secondary sex ratio. There has been a great deal of inquiry into the subject since that time, with scholarly contributions from the fields of demography, medicine, sociology, and economics, among others. Contemporary scholars continue to document a male excess at birth, and suggest that the secondary sex ratio oscillations are due to both endogenous (i.e., natural variation) and exogenous effects (i.e., population-level shocks) (2). Accumulating evidence points to dips in the secondary sex ratio (i.e., fewer liveborn males) following exposure to exogenous effects, or major population-level disruptions that negatively affect maternal condition. As such, it has recently been suggested that the secondary sex ratio may be a useful indicator of public health (3, 4).

Over the last decade, scientific understanding of events antecedent to birth has increased and sophisticated analyses testing evolutionary hypotheses pertaining to the secondary sex ratio have been published. This review summaries the literature in this area overall, focusing on the relationship between maternal diabetes and sex ratio. Maternal diabetes has increased in recent decades and affects the maternal condition (5, 6). Please note this review takes an evolutionary perspective and thus focuses on environmental and biological factors at the population-level (e.g., catastrophic events, disease states), as opposed to the many cultural, social and societal factors influencing preferences for and selection of one sex over the other (711).

The Secondary Sex Ratio

It has long been recognized that males outnumber females at birth (1), with the ratio varying, very slightly, around 1.04 (12). Across societies and time periods, males are more likely to die than their female counterparts of the same age (13), and male infants in particular are more likely to die than any other sex/age group through reproductive age (14). The literature hypothesizes that natural selection would maintain biological mechanisms whereby women would terminate pregnancies requiring too great a maternal investment relative to the offspring’s ability to survive to reproductive age and produce grandchildren (15). The frailty of males, especially male infants, suggests that such a mechanism would affect males more than females (14), since from an evolutionary perspective, males are the riskier investment (13, 14). Approximately 73% of conceptions do not survive the first 6 weeks gestation (16), including approximately 22% of implantations that end before pregnancy is clinically detectable (17). Amon Avalos et al. reported that, among gestations surviving to 5 weeks, the overall cumulative risk of miscarriage through 20 weeks is 11–22%, with substantial variation in estimates of miscarriage risk prior to 14 weeks (18). It is certainly plausible that evolutionary based mechanisms are driving some portion of these fetal losses, and that they are sex-specific and based upon the maternal condition to maximize future reproductive success.

Unexpected, catastrophic disruptions at the population level, or exogenous shocks (2), have been linked to dips in the secondary sex ratio (i.e., fewer liveborn males) in numerous settings and periods. These extreme population level stressors are perceived to be an environmental threat to the offspring’s’ survival and frailer male fetuses are thus selectively aborted in order to maximize future reproductive success (i.e., yield of grandchildren). The literature documents dips in the secondary sex ratio associated with: self-assessed early pregnancy stress (19), anxiety disorders (20), maternal occupational stress (21), a stressful ‘lifestyle’ as identified by commute time ≥ 90 min (22), severe pre-conceptional life events (23), terrorist attacks (2427), floods and heavy fog (28), earthquakes in Japan (29), Iran (30), and Chile (31), economic downturns (32, 33), and mass layoffs (34). The unexpected outcome of the 2016 U.S. presidential election, hypothesized to be a societal stressor for liberal-leaning regions of Canada, preceded a reduction in the secondary sex ratio, the lowest occurring 4 months after the election (35). Conversely, and less commonly explored in the literature, are data suggesting increases in the secondary sex ratio (i.e., more liveborn males) following periods of public elation [i.e., the birth of Prince William (36), the 2010 FIFA World Cup (37), and the Years of the Dragon (38), which are considered more propitious for the birth of a child].

Purported Mechanisms

There are two popular hypotheses outlining potential mechanisms underlying variation in the secondary sex ratio from exogenous effects. The first, by James (3, 3941), suggests that male conceptions and births are favored overall at the population level but particularly under circumstances of good parental and societal health, whereas female biased conceptions and births indicative of poor parental and societal health. James posits that the hormone levels of one or both parents around the time of conception serve as the indicator of health, but acknowledges that the mechanisms by which parental hormones exert their effects on the sex ratio at this early stage are unknown (3). James points out that maternal androgens are increased among stressed women, and that high androgen levels in pregnancy have been associated with fetal growth restriction and spontaneous abortion (40). Experimental evidence in pregnant ewes (i.e., administration of testosterone having similar effects) is also cited (40). Overall, James suggests that more males are conceived, miscarried, and survive to birth (41), with variation in these attributable to parental hormones at conception. James maintains that high levels of maternal testosterone and/or estrogen play a role in fetal loss (3, 40, 41), and may result from a variety of stressors, including maternal disease, and thus potentially, maternal diabetes.

Catalano and colleagues provide an alternative hypothesis, which favors the idea of selection in utero driving variation in the secondary sex ratio. They used interrupted time-series analyses to examine the secondary sex ratio following the September 11 attacks [in California (26) and New York City (27)] and reported a prominent dip in December 2001 (26) and January 2002 (27), i.e., among those in utero at the time of the attacks. Notably, the secondary sex ratio did not differ from expected values in the 9, 10 or 11 months following the attacks (26). These findings and others’ (42) support their hypothesis that, with exposure to an acute stressor, frail male fetuses are ‘culled’ after conception, leading to dips in the secondary sex ratio.

Additional evidence comes from analyses of population-level stressors and the sex ratio of subsequent fetal deaths (26) and very low birthweight (26), low birth weight (43), and preterm births (43), indicators of decreased survival and thus low likelihood of future reproductive success. Following the September 11th attacks, the fetal death sex ratio increased (i.e., more male fetal deaths) (44), and the sex ratio among very low birthweight births decreased (i.e., fewer very low birthweight males were born), further support for the idea that ‘weak’ males had been selectively culled (26). Similarly, in the months following the November 2015 Paris attacks, the secondary sex ratio fell, and more preterm births were observed among males, but not females (45). Analyses of the rate of small for gestational age (SGA) among 4.9 million male term births in California also found that SGA was less frequent following labor market contractions (46).

Overall, this work suggests that exogenous stressors alter the secondary sex ratios primarily by affecting which fetuses survive the course of gestation, not impacting the sex ratio at conception. Catalano proposes a maternal mechanism that ranks gestations by expected yield of grandchildren and then applies a variable threshold below which a woman would spontaneously terminate the pregnancy (14, 4749). They posit that the threshold for termination would be dependent on both the woman’s environment, a proxy for the offspring’s future survival, and the sex of the fetus. Therefore, exposure to poor environments would result in the culling of males after conception, particularly weak or frail males, because they are less likely than females and strong males to survive and achieve reproductive success (41, 46, 50, 51). Using individual-level life-history data from historical church records in Finland (i.e., ~8,000 males born 1790–1870), Bruckner et al. observed decreases in male infant mortality risk following declines in the secondary sex ratio: weak males had already been culled in utero from the cohorts favoring fit males (i.e., those resulting in lower secondary sex ratios); interestingly, the males in those cohorts were subsequently slightly more likely to survive infancy (52).

Gestational human chorionic gonadotropin (hCG) has been proposed as one potential means by which offspring ‘hardiness’, i.e., potential for survival and future reproductive success, could be detected by the mother (14, 47). Low levels of hCG predict spontaneous abortion, and male gestations yield endemically lower hCG levels than females from the 4th week onward (53). In a sample of almost 2 million conceived in California in 2001–2007, Catalano et al. examined prenatal screening test data from the birth registry and found that women carrying males in conception cohorts subjected to contracting economies exhibited higher mid-pregnancy hCG levels (54). Catalano et al. also examined 1.56 million gestations conceived in California in 2002–2007 and found elevated median mid-pregnancy hCG levels among women carrying males in the conception cohorts with the fewest males, supporting the idea of a raised threshold for termination with exposure to ambient maternal stress (i.e., termination of male conceptions which would have warranted maternal investment under more favorable conditions) (14, 47).

The Primary Sex Ratio

While scholars agree that variation in the secondary sex ratio is driven, at least in part, by the preferential loss of males in utero, debate pertaining to the primary sex ratio, or the sex ratio at conception, is on-going (26, 41, 42, 55). In 2015, Orzack et al. (55) assembled data from multiple sources in an effort to construct a comprehensive examination of the primary sex ratio and the trajectory of the sex ratio over the course of gestation. The authors used amniocentesis, chorionic villus sampling (CVS), and induced abortion data to define fetal sex, in addition to inferring fetal sex from 3- to 6-day old embryos derived from assisted reproductive technology (ART) procedures and U.S. census records of fetal deaths and livebirths. Their results suggest that the sex ratio at conception is 1:1 (i.e., unbiased) but then varies over the course of gestation. A female-bias develops within the first 1–2 weeks following conception due to higher male mortality, but the proportion of males then increases during the rest of first trimester and into the second as females are preferentially lost (55). There is a leveling off and then the proportion of males decreases as they are preferentially lost in the third trimester (55). Overall, the female losses exceed male losses, resulting a secondary sex ratio that is biased towards males (55).

A decade before the Orzack et al. publication (55), Boklage similarly suggested that the primary sex ratio was unbiased (42). Reports of 1:1 ratios for X versus Y chromosomes in sperm, or a small excess of X-bearing sperm over Y-bearing, were provided as indirect evidence against the primary sex ratio being biased towards males. It was proposed that bias in the secondary sex ratio arises from the preferential loss of females between fertilization and clinical recognition of pregnancy (i.e., during embryogenesis). Boklage posited that population stressors impact the secondary sex ratio by affecting embryogenesis, at least in part via epigenetic pathways (e.g., genomic imprinting), thereby creating an excess of males during the transition from embryogenesis to clinically recognized pregnancy (42).

Maternal Diabetes, Hyperglycemia, and the Secondary Sex Ratio

In 2012, we estimated and compared the secondary sex ratio across categories of maternal hyperglycemia among 288,009 mother-infant pairs delivering at Kaiser Permanente Northern California in 1996–2008. We observed that women with pregestational diabetes delivered the fewest males [sex ratio (SR)= 1.01], followed by those with normoglycemic pregnancies (SR= 1.05), and that women with gestational diabetes mellitus (GDM) delivered the most males (SR= 1.07) (56). Although the adjusted odds ratio estimates did not attain statistical significance, these results are consistent with the hypothesis that women spontaneously abort fetuses who were least likely to survive to reproductive age and produce grandchildren (15). From the standpoint of future reproductive success, pregestational diabetes is unfavorable, deficient metabolic regulation resulting in hypoglycemia and/or hyperglycemia associated with oxidative and metabolic stress. As the theory goes, women with pregestational diabetes would optimize their future reproductive success by ‘culling’ week males and/or investing in the maintenance of fit female fetuses, and thus ultimately exhibit a lower secondary sex ratio (i.e., female-biased).

In the Kaiser Permanente Northern California data (56), further examination of the secondary sex ratio in those with pregestational diabetes revealed effect modification by type. Women with pregestational type 1 diabetes exhibited a female-bias sex ratio (SR= .87), while those with pregestational type 2 displayed a male-bias sex ratio (SR= 1.05) which was identical to that observed among women with normoglycemic pregnancies (56). All women in this study were members of a large group practice, prepaid health plan, and thus received monitoring and treatment for their disease, but it is reasonable to expect that those with type 1 diabetes entered their pregnancies with a higher burden of disease and were exposed to more stress, overall, than women with pregestational type 2 diabetes.

There are few studies comparing the secondary sex ratio between women with pregestational type 1 versus type 2 diabetes, though differences in the causes of pregnancy loss have been reported by diabetes type (57). Similar to the Kaiser Permanente Northern California data, Rjasanowski et al. (58) reported that more female than male offspring were born to women with severe hyperglycemia (i.e., requiring insulin) (SR= 0.45). In a study by James (59), women with type 1 diabetes exhibited a female-bias (SR= 0.92), and those with type 2 diabetes a male-bias (SR= 1.39). Interestingly, in Catalano et al.’s examination of conception cohorts in California, an increase in the percentage of mothers with severe hyperglycemia was significantly associated with an increase in median hCG levels among male gestations (i.e., ‘survivors’) in the cohort (14). This finding suggests that the threshold for spontaneous termination proposed by Catalano et al. may be elevated in pregnancies ‘stressed’ by severe hyperglycemia, and that these women thus select only the most fit males for maternal investment to term.

Unlike pregestational diabetes, GDM is most commonly diagnosed between 24 to 28 weeks gestation (60). The condition is characterized by the increased availability of metabolic substrates which results in fetal overnutrition (56). Importantly, this excess availability of metabolic substrates increases as the pregnancy progresses. Thus, early in the pregnancy, when the majority of fetal losses occur, those who go on to develop GDM are likely to exhibit increased availability of metabolic substrates, but perhaps not at a level high enough to constitute overt disease and induce systemic stress (56). This low grade excess of metabolic substrates may in fact signal increased maternal ability to invest in and sustain ‘weak’ male fetuses and male fetuses overall, thereby resulting in a higher secondary sex ratio (i.e., more boys) in this group (56).

A 2015 meta-analysis (61) of pooled data from more than 2.4 million women reported a statistically significant increased risk of GDM among those who went on to deliver a male infant, leading the authors to conclude that the sex of the fetus may impact maternal glucose metabolism during pregnancy. The authors had previously examined data from a Canadian population-based administrative database and found that carrying a male fetus was associated with impaired maternal beta cell function (62), and thus suggested beta cell function as the potential mechanism through which fetal sex may lead to GDM. However, there remains the possibility for another upstream variable or variables associated with both male fetal sex bias (i.e., at or soon after conception) and the subsequent development of GDM. Indeed, the authors of the meta-analysis recognized that their findings could also be explained by spontaneous termination of female fetuses due to impaired pre-pregnancy beta cell function (61). Currently, the mechanisms underlying beta cell dysfunction in GDM pregnancy are largely unknown (63).

Retnakaran et al. also provided evidence that, among women with GDM, those carrying a girl have a slightly higher future risk for type 2 diabetes (64, 65). If those carrying a girl are also more likely to have ‘culled’ a weak male or male fetus overall, perhaps due to more severe hyperglycemia at conception and in early pregnancy, then the theory of Catalano et al. (14, 4749) would still hold. Across the spectrum of GDM severity, those with more severe disease or unrecognized type 2 diabetes (56) could have experienced some degree of metabolic dysregulation early in their pregnancy, thereby resulting in a female-bias in this sub-group of GDM women (e.g., those who progress to type 2 diabetes within 3 years postpartum).

Another Retnakaran et al. study (66) reported that twin pregnancies had increased risk of GDM, but affected twin pregnancies had a lower risk of postpartum progression to type 2 diabetes as compared to GDM women carrying singletons. They concluded that the impact of carrying twins on maternal glucose metabolism supplanted that of fetal sex (66); indeed, placental adaptations needed to support multiple fetuses are likely involved (63). Interestingly, in the Retnakaran et al. study (66), which examined more than 13,000 twin pregnancies, male/male twins had a reduced risk of GDM and male/female twins a slightly increased risk as compared to female/female twins, though neither estimate attained statistical significance.

As proposed by Catalano et al., the maternal mechanism that ranks gestations by expected yield of grandchildren (and then applies a variable threshold below which a woman would spontaneously terminate the pregnancy) would include twins and be ordered, by preference: 1) female/female twins, 2) female singleton, 3) male singleton, 4) male/male twins (49). Maternal stress raising the criterion for spontaneous termination on such a scale would cull male twins before male singletons, and cull female singletons before female twins. Indeed, in their examination of 17 years of birth data from the State of California, Catalano et al. found support for this hypothesis (49). They later also reported that twins among male Norwegian infants fell below expected, while twins among females rose above expected levels, among those gestation in July 2011 when 77 Norwegians were murdered (48). Unfortunately, biologically induced increases in maternal hyperglycemia to maintain and support multiple fetuses complicates examination of twin sex ratio theory in the context of maternal diabetes.

Glucose’s Effects on Early Development

Evidence from animal models suggests that the secondary sex ratio deviations attributed to maternal diabetes may be related to glucose’s impact on early embryonic development. In bovine embryos, brief exposure to glucose after fertilization skews development toward males (67). Time-lapse video recordings of bovine embryo development in vitro suggest that, in the presence of glucose, male embryos cleave earlier, whereas females cleave are earlier in the absence of glucose (67). In the presence of glucose, more male than female embryos reach the morula and blastocyst stage, but there is no sex difference in this progression in the absence of glucose (67). In vitro exposure of bovine blastocysts to excess glucose-containing medium thus appears to selectively block females at the morula to blastocyst transition (56, 6769). By impairing female bovine embryonic development, high glucose levels may increase the sex ratio (i.e., male-bias), and metabolites generated by increased pentose phosphate pathway activity among females have been implicated in their higher rate of early developmental failure (70).

Environmental disturbances to the in vitro embryo culture can influence gene expression patterns regulated by X-chromosome dosage, thereby differentially effecting male and female embryos (67). In bovine embryos, the X-chromosome carries the gene glucose-6-phosphate dehydrogenase (G6PDH), which encodes the enzyme responsible for the rate-limiting step of the pentose phosphate pathway. Female intolerance to excess glucose may reflect the presence of two active X-chromosomes in female blastocysts, presumably through to the morula stage, when random inactivation of one X-chromosome is initiated (71, 72). Over activation of the pentose phosphate pathway may thus be responsible for the higher failure rate of female versus male embryos in the presence of glucose (71). The synthesis of interferon-tau (IFNT), a biomarker of embryo viability that is natural higher in female bovine blastocysts, is hypothesized to be associated with the pentose phosphate pathway, as inhibiting this pathway was observed to eliminate sex differences in IFNT (71). Conditions, such as excess glucose, which compromise development may reduce IFNT production, thereby disrupting, “an embryo’s normal dialogue with the maternal reproductive tract during the preimplantation period” (71).

Acute Maternal Metabolic Disruption and the Sex Ratio: Ramadan as a Natural Experiment

Only about half of all pregnancies in the U.S. are intended (73), making it difficult to conduct generalizable, population-based studies examining maternal exposures at the time of or soon after conception and the secondary sex ratio. However, studies examining the Islamic holy month of Ramadan allow for exploration of the impact of an acute and specifically timed maternal metabolic stress on the secondary sex ratio. Ramadan follows a lunar calendar, and its month-long duration overlaps with more than 75% of pregnancies at a variety of stages (74). Almond and Mazumder (74) examined natality data from Michigan, which has a large Muslim population, and reported a reduction in the secondary sex ratio in mothers who were likely to have fasted in the month prior to conception and at conception. It is important to note that pregnant women may be exempt from fasting and may thus be less likely to fast than those women who have not yet recognized their pregnancy; this could explain the lack of significant findings for Ramadan exposure later in gestation (74). Among Indonesian Muslims exposed to Ramadan in utero, a lower proportion of males has also been reported, most likely but not definitively due to increased male death prior to birth (75).

Conclusions and Future Research

The male bias among infants born to women with GDM is now widely recognized. The male bias in GDM may also be consistent with the hypotheses of Catalano et al. (14, 26, 27, 4749). Specifically, mild hyperglycemia at and soon after conception in these women may signal favorable conditions and warrant maternal investment in male fetuses, including frail males who would have otherwise been culled. Although data on women with pregestational diabetes are sparse, it seems there is a female bias among infants born to women with type 1 diabetes and severe hyperglycemia (i.e., who require insulin). Perhaps a consequence of disease-related maternal stress, these women may be more likely to cull male fetuses. Women with type 2 diabetes appear to display a secondary sex ratio comparable to normoglycemic women or slightly biased towards males, potentially reflecting a less severe state of maternal disease at and soon after conception.

Pregestational diabetes is linked to an increased risk of adverse pregnancy outcomes, but the prevalence of pregestational diabetes has increased substantially in recent decades (6). This is most likely due to the increasing incidence of diabetes among women of reproductive age, as well as improvements in preconception and prenatal care (6). Women with recognized diabetes are encouraged to obtain preconception counseling and achieve adequate glycemic control prior to pregnancy to reduce the risk of adverse outcomes. With the proliferation of continuous glucose monitoring devices (CGM) in recent years, detailed data on maternal glucose values around conception and over the course of pregnancy will soon be available to contribute to this field. However, existing data, such as the prenatal screening test data from the State of California previously analyzed by Catalano et al. (54), may offer more clues. Such data could be used to examine hCG levels among women with severe hyperglycemia over time. If more of these women have been achieving and maintaining pregnancy, as the data suggest (6), women with severe hyperglycemia carrying males in more contemporary conception cohorts would be expected to exhibit lower median hCG levels than those carrying males in earlier conception cohorts, and secondary sex ratio deviations (i.e., the female bias) would similarly dampen over time. Improvements in disease management have undoubtably improved the maternal condition among women with severe hyperglycemia (i.e., requiring insulin). Further examination of this group in particular stands to contribute to scientific understanding of the human sex ratio.

Acknowledgements

Dr. Ehrlich is supported by grant K01 DK105106 from the National Institute of Diabetes and Digestive and Kidney Diseases. Thank you to Dr. Meenakshi Subbaraman for many discussions of the topic and for providing comments to improve the manuscript. Thank you also to Section/Guest Editor Dr. Camille Powe for providing comments to improve the manuscript,

References

  • 1.Campbell RB. John Graunt, John Arbuthnott, and the human sex ratio. Hum Biol. 2001;73(4):605–10. [DOI] [PubMed] [Google Scholar]
  • 2.*Catalano R, Casey JA, Bruckner TA. A test of oscillation in the human secondary sex ratio. Evolution, medicine, and public health. 2020;2020(1):225–33.Applies time-series methods to examine the secondary sex ratio in Sweden from 1751–1830 and suggests that oscillations in the ratio are due to social processes rather than heritable mechanisms.
  • 3.*James WH, Grech V. Can sex ratios at birth be used in the assessment of public health, and in the identification of causes of selected pathologies? Early Hum Dev. 2018;118:15–21.Suggests that the proportion of males at birth may be used as an indicator of public health and to explain several pathologies influencing public health.
  • 4.Bruckner TA, Catalano R. Selection in utero and population health: Theory and typology of research. SSM - population health. 2018;5:101–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Ferrara A, Kahn HS, Quesenberry CP, Riley C, Hedderson MM. An increase in the incidence of gestational diabetes mellitus: Northern California, 1991–2000. Obstet Gynecol. 2004;103(3):526–33. [DOI] [PubMed] [Google Scholar]
  • 6.Peng TY, Ehrlich SF, Crites Y, Kitzmiller JL, Kuzniewicz MW, Hedderson MM, et al. Trends and racial and ethnic disparities in the prevalence of pregestational type 1 and type 2 diabetes in Northern California: 1996–2014. Am J Obstet Gynecol. 2017;216(2):177.e1–.e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Almond D, Sun Y. Son-biased sex ratios in 2010 US Census and 2011–2013 US natality data. Soc Sci Med. 2017;176:21–4. [DOI] [PubMed] [Google Scholar]
  • 8.Choi EJ, Hwang J. Transition of Son Preference: Evidence From South Korea. Demography. 2020;57(2):627–52. [DOI] [PubMed] [Google Scholar]
  • 9.Wang X, Nie W, Liu P. Son Preference and the Reproductive Behavior of Rural-Urban Migrant Women of Childbearing Age in China: Empirical Evidence from a Cross-Sectional Data. Int J Environ Res Public Health. 2020;17(9). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bongaarts J, Guilmoto C. How many more missing women? Lancet. 2015;386(9992):427. [DOI] [PubMed] [Google Scholar]
  • 11.Lamberts RW, Guo DP, Li S, Eisenberg ML. The Relationship Between Offspring Sex Ratio and Vasectomy Utilization. Urology. 2017;103:112–6. [DOI] [PubMed] [Google Scholar]
  • 12.James WH. The human sex ratio. Part 1: A review of the literature. Hum Biol. 1987;59(5):721–52. [PubMed] [Google Scholar]
  • 13.Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1459–544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Catalano RA, Saxton KB, Bruckner TA, Pearl M, Anderson E, Goldman-Mellor S, et al. Hormonal evidence supports the theory of selection in utero. Am J Hum Biol. 2012;24(4):526–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Trivers RL, Willard DE. Natural selection of parental ability to vary the sex ratio of offspring. Science. 1973;179(4068):90–2. [DOI] [PubMed] [Google Scholar]
  • 16.Boklage CE. Survival probability of human conceptions from fertilization to term. Int J Fertil. 1990;35(2):75, 9–80, 1–94. [PubMed] [Google Scholar]
  • 17.Wilcox AJ, Weinberg CR, O’Connor JF, Baird DD, Schlatterer JP, Canfield RE, et al. Incidence of early loss of pregnancy. N Engl J Med. 1988;319(4):189–94. [DOI] [PubMed] [Google Scholar]
  • 18.Ammon Avalos L, Galindo C, Li DK. A systematic review to calculate background miscarriage rates using life table analysis. Birth Defects Res A Clin Mol Teratol. 2012;94(6):417–23. [DOI] [PubMed] [Google Scholar]
  • 19.Obel C, Henriksen TB, Secher NJ, Eskenazi B, Hedegaard M. Psychological distress during early gestation and offspring sex ratio. Hum Reprod. 2007;22(11):3009–12. [DOI] [PubMed] [Google Scholar]
  • 20.Subbaraman MS, Goldman-Mellor SJ, Anderson ES, Lewinn KZ, Saxton KB, Shumway M, et al. An exploration of secondary sex ratios among women diagnosed with anxiety disorders. Hum Reprod. 2010;25(8):2084–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ruckstuhl KE, Colijn GP, Amiot V, Vinish E. Mother’s occupation and sex ratio at birth. BMC Public Health. 2010;10:269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Mazumder B, Seeskin Z. Breakfast Skipping, Extreme Commutes, and the Sex Composition at Birth. Biodemography Soc Biol. 2015;61(2):187–208. [DOI] [PubMed] [Google Scholar]
  • 23.Hansen D, Moller H, Olsen J. Severe periconceptional life events and the sex ratio in offspring: follow up study based on five national registers. BMJ. 1999;319(7209):548–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Grech V Terrorist attacks and the male-to-female ratio at birth: The Troubles in Northern Ireland, the Rodney King riots, and the Breivik and Sandy Hook shootings. Early Hum Dev. 2015;91(12):837–40. [DOI] [PubMed] [Google Scholar]
  • 25.Masukume G, O’Neill SM, Khashan AS, Kenny LC, Grech V. The Terrorist Attacks and the Human Live Birth Sex Ratio: a Systematic Review and Meta-Analysis. Acta Medica (Hradec Kralove). 2017;60(2):59–65. [DOI] [PubMed] [Google Scholar]
  • 26.Catalano R, Bruckner T, Gould J, Eskenazi B, Anderson E. Sex ratios in California following the terrorist attacks of September 11, 2001. Hum Reprod. 2005;20(5):1221–7. [DOI] [PubMed] [Google Scholar]
  • 27.Catalano R, Bruckner T, Marks AR, Eskenazi B. Exogenous shocks to the human sex ratio: the case of September 11, 2001 in New York City. Hum Reprod. 2006;21(12):3127–31. [DOI] [PubMed] [Google Scholar]
  • 28.Lyster WR. Altered sex ratio after the London smog of 1952 and the Brisbane flood of 1965. J Obstet Gynaecol Br Commonw. 1974;81(8):626–31. [DOI] [PubMed] [Google Scholar]
  • 29.Fukuda M, Fukuda K, Shimizu T, Møller H. Decline in sex ratio at birth after Kobe earthquake. Hum Reprod. 1998;13(8):2321–2. [DOI] [PubMed] [Google Scholar]
  • 30.Saadat M Decline in sex ratio at birth after Bam (Kerman Province, Southern Iran) earthquake. J Biosoc Sci. 2008;40(6):935–7. [DOI] [PubMed] [Google Scholar]
  • 31.Torche F, Kleinhaus K. Prenatal stress, gestational age and secondary sex ratio: the sex-specific effects of exposure to a natural disaster in early pregnancy. Hum Reprod. 2012;27(2):558–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Grech V The Great Recession of 2007 in the United States and the male: female ratio at birth. Journal of the Turkish German Gynecological Association. 2015;16(2):70–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Catalano RA. Sex ratios in the two Germanies: a test of the economic stress hypothesis. Hum Reprod. 2003;18(9):1972–5. [DOI] [PubMed] [Google Scholar]
  • 34.Catalano R, Zilko CE, Saxton KB, Bruckner T. Selection in utero: a biological response to mass layoffs. Am J Hum Biol. 2010;22(3):396–400. [DOI] [PubMed] [Google Scholar]
  • 35.Retnakaran R, Ye C. Outcome of the 2016 United States presidential election and the subsequent sex ratio at birth in Canada: an ecological study. BMJ open. 2020;10(2):e031208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Grech V Historic Royal events and the male to female ratio at birth in the United Kingdom. Eur J Obstet Gynecol Reprod Biol. 2015;191:57–61. [DOI] [PubMed] [Google Scholar]
  • 37.Masukume G, Grech V. The sex ratio at birth in South Africa increased 9months after the 2010 FIFA World Cup. Early Hum Dev. 2015;91(12):807–9. [DOI] [PubMed] [Google Scholar]
  • 38.Grech V The influence of the Chinese zodiac on the male-to-female ratio at birth in Hong Kong. J Chin Med Assoc. 2015;78(5):287–91. [DOI] [PubMed] [Google Scholar]
  • 39.James WH. Hypotheses on the stability and variation of human sex ratios at birth. J Theor Biol. 2012;310:183–6. [DOI] [PubMed] [Google Scholar]
  • 40.James WH. Proximate causes of the variation of the human sex ratio at birth. Early Hum Dev. 2015;91(12):795–9. [DOI] [PubMed] [Google Scholar]
  • 41.James WH, Grech V. The human sex ratio at conception. Early Hum Dev. 2020;140:104862. [DOI] [PubMed] [Google Scholar]
  • 42.Boklage CE. The epigenetic environment: secondary sex ratio depends on differential survival in embryogenesis. Hum Reprod. 2005;20(3):583–7. [DOI] [PubMed] [Google Scholar]
  • 43.Drevenstedt GL, Crimmins EM, Vasunilashorn S, Finch CE. The rise and fall of excess male infant mortality. Proc Natl Acad Sci U S A. 2008;105(13):5016–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Bruckner TA, Catalano R, Ahern J. Male fetal loss in the U.S. following the terrorist attacks of September 11, 2001. BMC Public Health. 2010;10:273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Bruckner TA, Lebreton É, Perrone N, Mortensen LH, Blondel B. Preterm birth and selection in utero among males following the November 2015 Paris attacks. Int J Epidemiol. 2019;48(5):1614–22. [DOI] [PubMed] [Google Scholar]
  • 46.Catalano R, Goodman J, Margerison-Zilko CE, Saxton KB, Anderson E, Epstein M. Selection against small males in utero: a test of the Wells hypothesis. Hum Reprod. 2012;27(4):1202–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Catalano RA, Currier RJ, Steinsaltz D. Hormonal evidence of selection in utero revisited. Am J Hum Biol. 2015;27(3):426–31. [DOI] [PubMed] [Google Scholar]
  • 48.Catalano RA, Saxton KB, Gemmill A, Hartig T. Twinning in Norway Following the Oslo Massacre: Evidence of a ‘Bruce Effect’ in Humans. Twin research and human genetics : the official journal of the International Society for Twin Studies. 2016;19(5):485–91. [DOI] [PubMed] [Google Scholar]
  • 49.Catalano RA, Saxton K, Bruckner T, Goldman S, Anderson E. A sex-specific test of selection in utero. J Theor Biol. 2009;257(3):475–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Wells JC. Natural selection and sex differences in morbidity and mortality in early life. J Theor Biol. 2000;202(1):65–76. [DOI] [PubMed] [Google Scholar]
  • 51.Binet ME, Bujold E, Lefebvre F, Tremblay Y, Piedboeuf B. Role of gender in morbidity and mortality of extremely premature neonates. Am J Perinatol. 2012;29(3):159–66. [DOI] [PubMed] [Google Scholar]
  • 52.Bruckner TA, Helle S, Bolund E, Lummaa V. Culled males, infant mortality and reproductive success in a pre-industrial Finnish population. Proc Biol Sci. 2015;282(1799):20140835. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Cowans NJ, Stamatopoulou A, Maiz N, Spencer K, Nicolaides KH. The impact of fetal gender on first trimester nuchal translucency and maternal serum free beta-hCG and PAPP-A MoM in normal and trisomy 21 pregnancies. Prenat Diagn. 2009;29(6):578–81. [DOI] [PubMed] [Google Scholar]
  • 54.Catalano R, Margerison-Zilko C, Goldman-Mellor S, Pearl M, Anderson E, Saxton K, et al. Natural selection in utero induced by mass layoffs: the hCG evidence. Evolutionary applications. 2012;5(8):796–805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Orzack SH, Stubblefield JW, Akmaev VR, Colls P, Munne S, Scholl T, et al. The human sex ratio from conception to birth. Proc Natl Acad Sci U S A. 2015;112(16):E2102–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Ehrlich SF, Eskenazi B, Hedderson MM, Ferrara A. Sex ratio variations among the offspring of women with diabetes in pregnancy. Diabet Med. 2012;29(9):e273–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Cundy T, Gamble G, Neale L, Elder R, McPherson P, Henley P, et al. Differing causes of pregnancy loss in type 1 and type 2 diabetes. Diabetes Care. 2007;30(10):2603–7. [DOI] [PubMed] [Google Scholar]
  • 58.Rjasanowski I, Klöting I, Kovacs P. Altered sex ratio in offspring of mothers with insulin-dependent diabetes mellitus. Lancet. 1998;351(9101):497–8. [DOI] [PubMed] [Google Scholar]
  • 59.James WH. The sex ratios of offspring of diabetic parents. Diabet Med. 2006;23(9):1043–4. [DOI] [PubMed] [Google Scholar]
  • 60.Moyer VA. Screening for gestational diabetes mellitus: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2014;160(6):414–20. [DOI] [PubMed] [Google Scholar]
  • 61.Jaskolka D, Retnakaran R, Zinman B, Kramer CK. Sex of the baby and risk of gestational diabetes mellitus in the mother: a systematic review and meta-analysis. Diabetologia. 2015;58(11):2469–75. [DOI] [PubMed] [Google Scholar]
  • 62.Retnakaran R, Kramer CK, Ye C, Kew S, Hanley AJ, Connelly PW, et al. Fetal sex and maternal risk of gestational diabetes mellitus: the impact of having a boy. Diabetes Care. 2015;38(5):844–51. [DOI] [PubMed] [Google Scholar]
  • 63.Moyce BL, Dolinsky VW. Maternal β-Cell Adaptations in Pregnancy and Placental Signalling: Implications for Gestational Diabetes. Int J Mol Sci. 2018;19(11). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Retnakaran R, Shah BR. Sex of the baby and future maternal risk of Type 2 diabetes in women who had gestational diabetes. Diabet Med. 2016;33(7):956–60. [DOI] [PubMed] [Google Scholar]
  • 65.Retnakaran R, Shah BR. Fetal Sex and the Natural History of Maternal Risk of Diabetes During and After Pregnancy. J Clin Endocrinol Metab. 2015;100(7):2574–80. [DOI] [PubMed] [Google Scholar]
  • 66.Retnakaran R, Shah BR. Impact of Twin Gestation and Fetal Sex on Maternal Risk of Diabetes During and After Pregnancy. Diabetes Care. 2016;39(8):e110–1. [DOI] [PubMed] [Google Scholar]
  • 67.Peippo J, Kurkilahti M, Bredbacka P. Developmental kinetics of in vitro produced bovine embryos: the effect of sex, glucose and exposure to time-lapse environment. Zygote. 2001;9(2):105–13. [DOI] [PubMed] [Google Scholar]
  • 68.Larson MA, Kimura K, Kubisch HM, Roberts RM. Sexual dimorphism among bovine embryos in their ability to make the transition to expanded blastocyst and in the expression of the signaling molecule IFN-tau. Proc Natl Acad Sci U S A. 2001;98(17):9677–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Gutiérrez-Adán A, Granados J, Pintado B, De La Fuente J. Influence of glucose on the sex ratio of bovine IVM/IVF embryos cultured in vitro. Reprod Fertil Dev. 2001;13(5–6):361–5. [DOI] [PubMed] [Google Scholar]
  • 70.Kimura K, Spate LD, Green MP, Roberts RM. Effects of D-glucose concentration, D-fructose, and inhibitors of enzymes of the pentose phosphate pathway on the development and sex ratio of bovine blastocysts. Mol Reprod Dev. 2005;72(2):201–7. [DOI] [PubMed] [Google Scholar]
  • 71.Green MP, Harvey AJ, Spate LD, Kimura K, Thompson JG, Roberts RM. The effects of 2,4-dinitrophenol and d-glucose concentration on the development, sex ratio, and interferon-tau (IFNT) production of bovine blastocysts. Mol Reprod Dev. 2016;83(1):50–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Dupont C, Gribnau J. Different flavors of X-chromosome inactivation in mammals. Curr Opin Cell Biol. 2013;25(3):314–21. [DOI] [PubMed] [Google Scholar]
  • 73.Finer LB, Zolna MR. Declines in Unintended Pregnancy in the United States, 2008–2011. N Engl J Med. 2016;374(9):843–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Almond D, Mazumder B. Health Capital and the Prenatal Environment: The Effects of Maternal Fasting During Ramadan on Birth and Adult Outcomes. Cambridge, MA: National Bureau of Economic Research; 2008. Report No.: 14428. [Google Scholar]
  • 75.van Ewijk R Long-term health effects on the next generation of Ramadan fasting during pregnancy. J Health Econ. 2011;30(6):1246–60. [DOI] [PubMed] [Google Scholar]

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