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Ethnic differences in the impact of male fetal gender on the risk of spontaneous preterm birth

Abstract

Objective

To study the impact of fetal gender on the risk of spontaneous preterm birth in various ethnicities.

Study design

National cohort study in which all singleton live births from 25+0 weeks onwards without congenital anomalies were included of African, Asian, and Mediterranean women (1999–2010). Our primary outcome measure was preterm birth before 37 weeks. Per ethnic group, male and female neonates were compared.

Result

In each ethnic group, male fetuses were at increased risk of preterm birth (adjusted odds ratio (aOR) 1.63 for African, aOR 1.71 for Asian, and aOR 1.84 for Mediterranean males). The population-attributable risk of male gender on spontaneous preterm birth is lower in African women (3.9%) than in Asian (10.3%) and Mediterranean women (9.0%).

Conclusion

Male fetal gender is associated with spontaneous preterm birth in African, Asian, and Mediterranean women, but the total impact of ethnicity on spontaneous preterm birth rate is different.

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References

  1. Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012;379:2162–72.

    Article  PubMed  Google Scholar 

  2. March of Dimes, PMNCH, Save the Children, WHO. Born too soon: the global action report on preterm birth. Geneva: March of Dimes, PMNCH, Save the Children, WHO; 2012.

  3. Saigal S, Doyle LW. An overview of mortality and sequelae of preterm birth from infancy to adulthood. Lancet. 2008;371:261–9.

    Article  PubMed  Google Scholar 

  4. Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371:75–84.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Romero R, Espinoza J, Kusanovic JP, Gotsch F, Hassan S, Erez O, et al. The preterm parturition syndrome. BJOG. 2006;113:17–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Schaaf JM, Liem SM, Mol BW, Abu-Hanna A, Ravelli AC. Ethnic and racial disparities in the risk of preterm birth: a systematic review and meta-analysis. Am J Perinatol. 2013;30:433–50.

    PubMed  Google Scholar 

  7. Schaaf JM, Mol BW, Abu-Hanna A, Ravelli AC. Ethnic disparities in the risk of adverse neonatal outcome after spontaneous preterm birth. Acta Obstet Gynecol Scand. 2012;91:1402–8.

    Article  PubMed  Google Scholar 

  8. Cooperstock M, Campbell J. Excess males in preterm birth: interactions with gestational age, race, and multiple birth. Obstet Gynecol. 1996;88:189–93.

    Article  CAS  PubMed  Google Scholar 

  9. Zeitlin J, Saurel-Cubizolles MJ, De Mouzon MJ, Rivera L, Ancel PY, Blondel B, et al. Fetal sex and preterm birth: are males at greater risk? Hum Reprod. 2002;17:2762–8.

    Article  PubMed  Google Scholar 

  10. Peelen MJ, Kazemier BM, Ravelli AC, De Groot CJ, Van Der Post JA, Mol BW, et al. Impact of fetal gender on the risk of preterm birth, a national cohort study. Acta Obstet Gynecol Scand. 2016;95:1034–41.

    Article  PubMed  Google Scholar 

  11. Brettell R, Yeh PS, Impey LW. Examination of the association between male gender and preterm delivery. Eur J Obstet Gynecol Reprod Biol. 2008;141:123–6.

    Article  PubMed  Google Scholar 

  12. Schaaf JM, Ravelli AC, Mol BW, Abu-Hanna A. Development of a prognostic model for predicting spontaneous singleton preterm birth. Eur J Obstet Gynecol Reprod Biol. 2012;164:150–5.

    Article  PubMed  Google Scholar 

  13. Meray N, Reitsma JB, Ravelli AC, Bonsel GJ. Probabilistic record linkage is a valid and transparent tool to combine databases without a patient identification number. J Clin Epidemiol. 2007;60:883–91.

    Article  PubMed  Google Scholar 

  14. Tromp M, Ravelli AC, Meray N, Reitsma JB, Bonsel GJ. An efficient validation method of probabilistic record linkage including readmissions and twins. Methods Inf Med. 2008;47:356–63.

    Article  CAS  PubMed  Google Scholar 

  15. Statistics Netherlands. Population: key figures. http://statline.cbs.nl/statweb/publication/?vw=t&dm=slnl&pa=37296ned&d1=0-2,8-13,19-21,25-35,52-56,68&d2=0,10,20,30,40,50,60,64-65&hd=151214-1132&hdr=g1&stb=t. Accessed 15 Dec 2017.

  16. Miettinen OS. Proportion of disease caused or prevented by a given exposure, trait or intervention. Am J Epidemiol. 1974;99:325–32.

    Article  CAS  PubMed  Google Scholar 

  17. Borrell LN, Rodriguez-Alvarez E, Savitz DA, Baquero MC. Parental race/ethnicity and adverse birth outcomes in New York City: 2000-2010. Am J Public Health. 2016;106:1491–7.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Srinivasjois RM, Shah S, Shah PS.Knowledge Synthesis Group on Determinants Of Preterm LBWB. Biracial couples and adverse birth outcomes: a systematic review and meta-analyses. Acta Obstet Gynecol Scand. 2012;91:1134–46.

    Article  PubMed  Google Scholar 

  19. Senior PA, Bhopal R. Ethnicity as a variable in epidemiological research. BMJ. 1994;309:327–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Schaefer RT. Encyclopedia of race, ethnicity, and society. SAGE Publications, 2008.

  21. American Sociological Association. Race and ethnicity. https://www.asanet.org/topics/race-and-ethnicity. Accessed 21 Apr 2020.

  22. Bonham VL, Green ED, Perez-Stable EJ. Examining how race, ethnicity, and ancestry data are used in biomedical research. JAMA. 2018;320:1533–4.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Geronimus AT, Bound J, Waidmann TA, Hillemeier MM, Burns PB. Excess mortality among blacks and whites in the United States. N Engl J Med. 1996;335:1552–8.

    Article  CAS  PubMed  Google Scholar 

  24. Mensah GA, Mokdad AH, Ford ES, Greenlund KJ, Croft JB. State of disparities in cardiovascular health in the United States. Circulation. 2005;111:1233–41.

    Article  PubMed  Google Scholar 

  25. Hosper K, Nierkens V, Nicolaou M, Stronks K. Behavioural risk factors in two generations of non-Western migrants: do trends converge towards the host population? Eur J Epidemiol. 2007;22:163–72.

    Article  PubMed  PubMed Central  Google Scholar 

  26. McKay L, Macintyre, S, Ellaway, A. Migration and health: a review of the international literature. Glasgow: MRC Social & Public Health Sciences Unit; 2003.

  27. De Maio FG. Immigration as pathogenic: a systematic review of the health of immigrants to Canada. Int J Equity Health. 2010;9:27.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Pedretti MK, Kazemier BM, Dickinson JE, Mol BW. Implementing universal cervical length screening in asymptomatic women with singleton pregnancies: challenges and opportunities. Aust NZ J Obstet Gynaecol. 2017;57:221–7.

    Article  Google Scholar 

  29. Harville EW, Knoepp LR, Wallace ME, Miller KS. Cervical pathways for racial disparities in preterm births: the Preterm Prediction Study. J Matern Fetal Neonatal Med. 2019;32:4022–8.

    Article  PubMed  Google Scholar 

  30. Tanner LD, Tucker LY, Postlethwaite D, Greenberg M. Maternal race/ethnicity as a risk factor for cervical insufficiency. Eur J Obstet Gynecol Reprod Biol. 2018;221:156–9.

    Article  PubMed  Google Scholar 

  31. van der Ven AJ, van Os MA, Kleinrouweler CE, de Groot CJ, Haak MC, Mol BW, et al. Is cervical length associated with maternal characteristics? Eur J Obstet Gynecol Reprod Biol. 2015;188:12–6.

    Article  PubMed  Google Scholar 

  32. Broere-Brown ZA, Schalekamp-Timmermans S, Hofman A, Jaddoe V, Steegers E. Fetal sex dependency of maternal vascular adaptation to pregnancy: a prospective population-based cohort study. BJOG. 2016;123:1087–95.

    Article  CAS  PubMed  Google Scholar 

  33. Kim YM, Chaiworapongsa T, Gomez R, Bujold E, Yoon BH, Rotmensch S, et al. Failure of physiologic transformation of the spiral arteries in the placental bed in preterm premature rupture of membranes. Am J Obstet Gynecol. 2002;187:1137–42.

    Article  PubMed  Google Scholar 

  34. Kim YM, Bujold E, Chaiworapongsa T, Gomez R, Yoon BH, Thaler HT, et al. Failure of physiologic transformation of the spiral arteries in patients with preterm labor and intact membranes. Am J Obstet Gynecol. 2003;189:1063–9.

    Article  PubMed  Google Scholar 

  35. Kazemier BM, Ravelli AC, de Groot CJ, Mol BW. Optimal timing of near-term delivery in different ethnicities: a national cohort study. BJOG. 2014;121:1274–82. discussion 1283.

    Article  CAS  PubMed  Google Scholar 

  36. Balchin I, Whittaker JC, Patel RR, Lamont RF, Steer PJ. Racial variation in the association between gestational age and perinatal mortality: prospective study. BMJ. 2007;334:833.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Khalil MM, Alzahra E Fetal gender and pregnancy outcomes in Libya: a retrospective study. Libyan J Med. 2013;8. https://doi.org/10.3402/ljm.v8i0.20008.

  38. Melamed N, Yogev Y, Glezerman M. Fetal gender and pregnancy outcome. J Matern Fetal Neonatal Med. 2010;23:338–44.

    Article  PubMed  Google Scholar 

  39. Hall MH, Carr-Hill R. Impact of sex ratio on onset and management of labour. Br Med J (Clin Res Ed). 1982;285:401–3.

    Article  CAS  Google Scholar 

  40. Harlow BL, Frigoletto FD, Cramer DW, Evans JK, LeFevre ML, Bain RP, et al. Determinants of preterm delivery in low-risk pregnancies. The RADIUS Study Group. J Clin Epidemiol. 1996;49:441–8.

    Article  CAS  PubMed  Google Scholar 

  41. Liu Y, Li G, Zhang W. Effect of fetal gender on pregnancy outcomes in Northern China. J Matern Fetal Neonatal Med. 2017;30:858–63.

    Article  PubMed  Google Scholar 

  42. Vatten LJ, Skjaerven R. Offspring sex and pregnancy outcome by length of gestation. Early Hum Dev. 2004;76:47–54.

    Article  PubMed  Google Scholar 

  43. Verburg PE, Tucker G, Scheil W, Erwich JJ, Dekker GA, Roberts CT. Sexual dimorphism in adverse pregnancy outcomes - a retrospective Australian population study 1981-2011. PLoS ONE. 2016;11:e0158807.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Zeitlin J, Ancel PY, Larroque B, Kaminski M. Fetal sex and indicated very preterm birth: results of the EPIPAGE study. Am J Obstet Gynecol. 2004;190:1322–5.

    Article  PubMed  Google Scholar 

  45. Hou L, Wang X, Li G, Zou L, Chen Y, Zhang W. Cross sectional study in China: fetal gender has adverse perinatal outcomes in mainland China. BMC Pregnancy Childbirth. 2014;14:372.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Wilms FF, Vis JY, Oudijk MA, Kwee A, Porath MM, Scheepers HC, et al. The impact of fetal gender and ethnicity on the risk of spontaneous preterm delivery in women with symptoms of preterm labor. J Matern Fetal Neonatal Med. 2016;29:3563–9.

    Article  PubMed  Google Scholar 

  47. Teoh PJ, Ridout A, Seed P, Tribe RM, Shennan AH. Gender and preterm birth: Is male fetal gender a clinically important risk factor for preterm birth in high-risk women? Eur J Obstet Gynecol Reprod Biol. 2018;225:155–9.

    Article  CAS  PubMed  Google Scholar 

  48. Shaw GM, Mayo JA, Eisenberg ML, Catalano R, Stevenson DK. Male-to-female ratios, race/ethnicity, and spontaneous preterm birth among 11 million California infants. Am J Perinatol. 2019. https://doi.org/10.1055/s-0039-3400449. Online ahead of print.

  49. Lao TT, Sahota DS, Suen SS, Law LW. The impact of fetal gender on preterm birth in a southern Chinese population. J Matern Fetal Neonatal Med. 2011;24:1440–3.

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank all Dutch midwives, obstetricians, neonatologists, and other perinatal health care providers for the registration of perinatal information and PERINED (www.perined.nl) for permission (13.63) to use the registry data.

Author information

Authors and Affiliations

Authors

Contributions

M.P., B.K., C.dG., J.vdP., B.M., M.K. and P.H. conceived the idea for the study. M.P., B.K. and A.R. performed the data collection. B.K. and A.R. performed statistical analyses. M.P. and B.K. wrote the first draft. All authors interpreted the data, revised the article, and approved the final version.

Corresponding author

Correspondence to Myrthe J. C. S. Peelen.

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Conflict of interest

Dr. Mol is supported by a NHMRC Investigator grant (GNT1176437) and reports consultancy for ObsEva, Merck KGaA, iGenomix, and Guerbet. All other authors declare no competing interests.

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Peelen, M.J.C.S., Kazemier, B.M., Ravelli, A.C.J. et al. Ethnic differences in the impact of male fetal gender on the risk of spontaneous preterm birth. J Perinatol 41, 2165–2172 (2021). https://doi.org/10.1038/s41372-021-01024-7

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