| Literature DB >> 30037349 |
M C Inhorn1, D Birenbaum-Carmeli2, J Birger3, L M Westphal4, J Doyle5, N Gleicher6, D Meirow7, M Dirnfeld8, D Seidman7, A Kahane9, P Patrizio10.
Abstract
BACKGROUND: What are the underlying socio-demographic factors that lead healthy women to preserve their fertility through elective egg freezing (EEF)? Many recent reviews suggest that women are intentionally postponing fertility through EEF to pursue careers and achieve reproductive autonomy. However, emerging empirical evidence suggests that women may be resorting to EEF for other reasons, primarily the lack of a partner with whom to pursue childbearing. The aim of this study is thus to understand what socio-demographic factors may underlie women's use of EEF.Entities:
Keywords: Education; Fertility preservation; Gender; Israel; Men as partners; Oocyte cryopreservation; Reproductive epidemiology; Single women; Socio-demography; United States
Mesh:
Year: 2018 PMID: 30037349 PMCID: PMC6056999 DOI: 10.1186/s12958-018-0389-z
Source DB: PubMed Journal: Reprod Biol Endocrinol ISSN: 1477-7827 Impact factor: 4.982
Elective Egg Freezing in the US and Israel: Characteristics of Study Participants and Their EEF Cycles
| Characteristics | United States | Israel | Total | |||
|---|---|---|---|---|---|---|
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| % |
| % |
| % | |
| Age at EEF | ||||||
| 25–29 | 1 | < 1 | 0 | 0 | 1 | 1 |
| 30–34 | 19 | 17 | 7 | 19 | 26 | 17 |
| 35–39 | 83 | 73 | 27 | 75 | 110 | 73 |
| > 40 | 11 | 10 | 2 | 6 | 13 | 9 |
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| Year of EEF | ||||||
| Experimental (2000–2010/11) | 17 | 15 | 0 | 0 | 17 | 11 |
| Clinical Approval (2011/12–2016) | 97 | 85 | 36 | 100 | 133 | 89 |
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| No. EEF Cycles | ||||||
| 1 | 65 | 57 | 21 | 58 | 86 | 57 |
| 2 | 35 | 31 | 11 | 30 | 46 | 31 |
| 3 | 10 | 9 | 1 | 3 | 11 | 8 |
| < 3 | 4 | 3 | 1 | 3 | 5 | 3 |
| Unrevealeda | 0 | 0 | 2 | 6 | 2 | 1 |
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| Total No. Eggs Stored | ||||||
| < 5 | 7 | 6 | 7 | 19 | 14 | 9 |
| 5–10 | 25 | 22 | 11 | 31 | 36 | 24 |
| 11–15 | 20 | 17 | 5 | 14 | 25 | 17 |
| 16–20 | 25 | 22 | 6 | 17 | 31 | 21 |
| 21–25 | 18 | 16 | 2 | 6 | 20 | 14 |
| 26–30 | 7 | 6 | 1 | 3 | 8 | 5 |
| 31–35 | 6 | 5 | 2 | 5 | 8 | 5 |
| 36–40 | 3 | 3 | 0 | 0 | 3 | 2 |
| > 40 | 3 | 3 | 0 | 0 | 3 | 2 |
| Unrevealeda | 0 | 0 | 2 | 5 | 2 | 1 |
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aFor religious and cultural reasons
Educational Achievement and Relationship Status of Women Undertaking Elective Egg Freezing (EEF) in the US and Israel
| US | ISRAEL | TOTAL | ||||
|---|---|---|---|---|---|---|
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| % |
| % |
| % | |
| HIGHEST DEGREE | ||||||
| High School | 0 | 0 | 1 | 3 | 1 | 1 |
| Associates Degree (2-Year) | 1 | 1 | 0 | 0 | 1 | 1 |
| Professional Arts Performance | 2 | 2 | 0 | 0 | 2 | 1 |
| Bachelors | 23 | 20 | 14 | 39 | 37 | 25 |
| Masters | 52 | 45 | 13 | 36 | 65 | 43 |
| MD | 16 | 14 | 7 | 19 | 23 | 15 |
| PhD | 11 | 10 | 1 | 3 | 12 | 8 |
| JD | 8 | 7 | 0 | 0 | 8 | 5 |
| MD-PhD | 1 | 1 | 0 | 0 | 1 | 1 |
| Total N | 114 | 100 | 36 | 100 | 150 | 100 |
| RELATIONSHIP STATUS AT TIME OF EEF | ||||||
| Single | ||||||
| Being Single | 59 | 51 | 25 | 70 | 84 | 56 |
| Divorced or Divorcing | 19 | 17 | 6 | 17 | 25 | 17 |
| Broken Up | 16 | 14 | 2 | 5 | 18 | 12 |
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| Partnered (Unstable) | ||||||
| Relationship Too New or Uncertain | 6 | 5 | 1 | 3 | 7 | 5 |
| Partner Refuses to Have Children | 2 | 2 | 0 | 0 | 2 | 1 |
| Partner Has Multiple Partners | 2 | 2 | 0 | 0 | 2 | 1 |
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| Partnered (Stable) | ||||||
| Not Ready to Have Children | 10 | 9 | 2 | 5 | 12 | 8 |
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| Total N | 114 | 100 | 36 | 100 | 150 | 100 |
Relationship Status and Reproductive Outcomes Following Elective Egg Freezing (EEF) among Study Participants in the US and Israel
| US | ISRAEL | TOTAL | ||||
|---|---|---|---|---|---|---|
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| % |
| % |
| % | |
| Years Elapsed Since EEF Undertaken | ||||||
| Same year | 40 | 35 | 1 | 3 | 41 | 27 |
| 1 year | 28 | 25 | 12 | 33 | 40 | 26 |
| 2 years | 21 | 18 | 13 | 36 | 34 | 23 |
| 3 years | 12 | 11 | 6 | 17 | 18 | 12 |
| 4 years | 7 | 6 | 3 | 8 | 10 | 7 |
| 5 or more years (5–11) | 6 | 5 | 0 | 0 | 6 | 4 |
| Wouldn’t reveal date of EEF | 0 | 0 | 1 | 3 | 1 | < 1 |
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| Relationship Status Following EEF (@ Time of Interview) | ||||||
| Still Single | 89 | 78 | 27 | 75 | 116 | 78 |
| Partnered | 17 | 15 | 6 | 17 | 23 | 15 |
| Married | 8 | 7 | 3 | 8 | 11 | 7 |
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| Status of Those Women Partnered/Married | ||||||
| Equal Partnership (Education, Age, No Children from Prior Relationship) | 6 | 5 | 5 | 14 | 11 | 7 |
| Partner Divorced without Children | 1 | 1 | 0 | 0 | 1 | 1 |
| Partner Divorced with Children | 7 | 6 | 2 | 5 | 9 | 6 |
| Partner Significantly Younger | 3 | 3 | 1 | 3 | 4 | 3 |
| Partner Significantly Older/Retired | 2 | 2 | 1 | 3 | 3 | 2 |
| Partner Significantly Less Educated | 1 | 1 | 0 | 0 | 1 | .5 |
| Partner Significantly Less Educated/Divorced | 1 | 1 | 0 | 0 | 1 | |
| Partner Significantly Less Educated/Divorced with Children | 1 | 1 | 0 | 0 | 1 | .5 |
| Partner Significantly Less Educated/Younger | 1 | 1 | 0 | 0 | 1 | .5 |
| Partner with Alcohol or Legal Issues | 2 | 2 | 0 | 0 | 2 | 1 |
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| Pregnancy and Live Birth Outcomes Post EEF (@ Time of Interview) | ||||||
| Child Born from Frozen Oocyte Conception | 1 | 1 | 0 | 0 | 1 | .5 |
| Child Born from Natural Conception (No Frozen Oocytes Used) | 3 | 2 | 1 | 3 | 4 | 3 |
| Child Born from Donor Sperm (Single Mother by Choice, No Frozen Oocytes Used) | 2 | 2 | 1 | 3 | 3 | 2 |
| Child Born from IUI, IVF or Surrogacy (No Donor Sperm, No Frozen Oocytes Used) | 4 | 3 | 0 | 0 | 4 | 3 |
| Currently Pregnant from Frozen Oocyte | 1 | 1 | 0 | 0 | 1 | .5 |
| Currently Pregnant from Natural Conception | 2 | 2 | 1 | 3 | 3 | 2 |
| Currently Pregnant from Donor Sperm (Single Mother by Choice, No Frozen Oocytes Used) | 0 | 0 | 2 | 5 | 2 | 1 |
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| Women Who Had Used Frozen Oocytes (by Time of Interview) | ||||||
| All Oocytes Thawed, One Live Birth, One Blastocyst Remaining | 1 | 1 | 0 | 0 | 1 | .5 |
| All Oocytes Thawed, Currently Pregnant, 24 Embryos Remaining | 1 | 1 | 0 | 0 | 1 | .5 |
| All Oocytes Thawed, No Fertilization | 8 | 7 | 0 | 0 | 8 | 5 |
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Countries Where Women Significantly Outnumber Men in Higher Educationa
| No. | Country | F/M Ratio | % More Women than Men in Higher Education |
|---|---|---|---|
| 1. | Albania | 1.39865994 | 40% |
| 2. | Algeria | 1.55961001 | 56% |
| 3. | Argentina | 1.61947 | 62% |
| 4. | Armenia | 1.12863004 | 13% |
| 5. | Aruba | 2.26302004 | 126% |
| 6. | Australia | 1.40989006 | 41% |
| 7. | Austria | 1.20158994 | 20% |
| 8. | Bahrain | 1.92068005 | 92% |
| 9. | Belarus | 1.32676005 | 33% |
| 10. | Belgium | 1.31350005 | 31% |
| 11. | Belize | 1.60633004 | 61% |
| 12. | Bermuda | 2.31813002 | 132% |
| 13. | Botswana | 1.43773997 | 44% |
| 14. | Brazil | 1.39809 | 40% |
| 15. | Canadab | 1.29524887 | 30% |
| 16. | Chile | 1.13678002 | 14% |
| 17. | China | 1.18620002 | 19% |
| 18. | Colombia | 1.16246998 | 16% |
| 19. | Costa Rica | 1.30727994 | 31% |
| 20. | Croatia | 1.35680997 | 36% |
| 21. | Cuba | 1.42532003 | 43% |
| 22. | Czech Republic | 1.40742004 | 41% |
| 23. | Estonia | 1.53139997 | 53% |
| 24. | Finland | 1.20589006 | 21% |
| 25. | France | 1.22571003 | 23% |
| 26. | Georgia | 1.21904004 | 22% |
| 27. | Guyana | 2.03288007 | 103% |
| 28. | Hong Kong SAR, China | 1.16025996 | 16% |
| 29. | Hungary | 1.25191998 | 25% |
| 30. | Iceland | 1.71160996 | 71% |
| 31. | Indonesia | 1.1243 | 12% |
| 32. | Ireland | 1.09338999 | 9% |
| 33. | Israel | 1.3829 | 38% |
| 34. | Italy | 1.35718 | 36% |
| 35. | Jamaica | 1.72571003 | 73% |
| 36. | Jordan | 1.11230004 | 11% |
| 37. | Kazakhstan | 1.23714995 | 24% |
| 38. | Kuwait | 1.61944997 | 62% |
| 39. | Latvia | 1.42805004 | 43% |
| 40. | Lebanon | 1.15689003 | 16% |
| 41. | Lithuania | 1.46904004 | 47% |
| 42. | Luxembourg | 1.13515997 | 14% |
| 43. | Macao SAR, China | 1.32536995 | 33% |
| 44. | Macedonia, FYR | 1.24822998 | 25% |
| 45. | Malaysia | 1.52705002 | 53% |
| 46. | Malta | 1.37038004 | 37% |
| 47. | Mongolia | 1.38279998 | 38% |
| 48. | Myanmar | 1.22817004 | 23% |
| 49. | Netherlands | 1.10478997 | 10% |
| 50. | New Zealand | 1.35090995 | 35% |
| 51. | Norway | 1.45779002 | 46% |
| 52. | Palau | 1.54859996 | 55% |
| 53. | Panama | 1.49242997 | 49% |
| 54. | Philippines | 1.28163004 | 28% |
| 55. | Poland | 1.52178001 | 52% |
| 56. | Portugal | 1.13217998 | 13% |
| 57. | Puerto Rico | 1.40998995 | 41% |
| 58. | Romania | 1.23240995 | 23% |
| 59. | Russian Federation | 1.21165001 | 21% |
| 60. | Serbia | 1.33327997 | 33% |
| 61. | Slovak Republic | 1.54595995 | 55% |
| 62. | Slovenia | 1.44420004 | 44% |
| 63. | South Africa | 1.48450994 | 48% |
| 64. | Spain | 1.17773998 | 18% |
| 65. | Sri Lanka | 1.53942001 | 54% |
| 66. | St. Lucia | 1.90204 | 90% |
| 67. | Sweden | 1.52547002 | 53% |
| 68. | Syrian Arab Republic | 1.13739002 | 14% |
| 69. | Thailand | 1.41378999 | 41% |
| 70. | Tunisia | 1.65129006 | 65% |
| 71. | Ukraine | 1.15558004 | 16% |
| 72. | United Kingdom | 1.30744004 | 31% |
| 73. | United States | 1.36754 | 37% |
aBased on the most recent World Bank data available from 2012 to 2016, as collected by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. https://data.worldbank.org/indicator/SE.ENR.TERT.FM.ZS?end=2011&name_desc=false&start=1970
bStatistics Canada. https://www150.statcan.gc.ca/n1/en/type/data#tables