The contribution of medically assisted reproduction to total, age-, and parity-specific fertility in Italy

IF 6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY
Alessandra Burgio, Cinzia Castagnaro, Daniele Vignoli, Agnese Vitali
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Recent studies found that the contribution of MAR to fertility rates is remarkable and increases over time in countries such as Czech Republic, Denmark, Australia, and the USA. Italy is a country distinguished by one of the lowest average number of children per woman globally, as well as the highest maternal age at first birth and among the highest shares of births to mothers aged 40 years and over in Europe. No prior study has focused on Italy. STUDY DESIGN, SIZE, DURATION This study relies on a unique combination of administrative data sources: the Certificate of Delivery Care Registry dataset based on the entire population of live birth deliveries in Italy in 2022 (N = 393 997), administered by the Ministry of Health; the Register of Live Births to the Resident Population in 2022 (N = 393 333), administered by the Italian National Institute of Statistics; and the resident population by age and sex to identify the female population at risk of having a(n additional) child by age (N = 17 006 665) provided by the Italian National Institute of Statistics. Comparisons are made with the year 2013. PARTICIPANTS/MATERIALS, SETTING, METHODS We calculate the age-specific fertility rates (total and by parity) for births conceived via MAR and those conceived naturally. These rates are then utilized to assess the contribution of MAR to total and parity-specific fertility, as well as to the mean maternal age at childbearing. This study is the first estimation of its kind for Italy. MAIN RESULTS AND THE ROLE OF CHANCE The contribution of MAR to the total fertility rate (for women aged 15–59 years) in Italy increased from 2.1% in 2013 to 3.7% in 2022. Among women aged 40 + , the contribution of MAR to the total fertility rate increases to 16.2% in 2022, up from 8.6% in 2013. The contribution of MAR to first-order fertility rate increases to 5.9% and it reaches 30.9% among women aged 40–59 years in 2022. The mean age at first childbirth among women who conceived via MAR equals to 37.8, up from 36.0 in 2013, compared to those who conceived naturally at a mean age at first birth of 30.4 in 2013 and of 31.3 in 2022. LIMITATIONS, REASONS FOR CAUTION Our approach may underestimate MAR’s contribution to the total fertility rate in Italy: mothers in Italy may be more likely to under-report of MAR-births than in other countries, due to social norms that are more resistant to non-conventional paths to parenthood. Our estimates use unconstrained denominators based on the entire population of women in reproductive age, irrespective of parity, to compute fertility rates because the population of women by age and parity is not available from official statistics. In addition, our estimates are somewhat affected by the possibility that couples who underwent MAR treatment would have eventually conceived spontaneously. WIDER IMPLICATIONS OF THE FINDINGS Countries characterized by low and late fertility offer a unique test ground for studying the contribution of MAR to fertility rates. In Italy, a late transition to parenthood among the general population aligns with the late transition to parenthood among mothers who conceived via MAR, mirroring that they seek infertility treatments at a relatively late age. For Italy, it will be important to monitor MAR’s contribution to fertility as a new law came into effect in January 2025, that, by recognizing infertility as a pathology, considerably reduces treatment costs hence likely increases demand for MAR. The extent to which a potentially increased demand will translate into access to treatment is uncertain if additional resources are not made available to expand the health system to meet the expected increased demand. STUDY FUNDING/COMPETING INTEREST(S) We acknowledge funding from Next Generation EU, in the context of the National Recovery and Resilience Plan, Investment PE8—Project Age-It: ‘Ageing Well in an Ageing Society’ (DM 1557 11.10.2022) and the project ‘ALFA—Aligning Law with Family Arrangements’ funded by Fondazione Cariplo 2021-1321. Open access funding provided by University of Trento within the CRUI-CARE agreement. The views and opinions expressed are only those of the authors and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. No conflict of interest exists. TRIAL REGISTRATION NUMBER N/A.","PeriodicalId":13003,"journal":{"name":"Human reproduction","volume":"11 1","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human reproduction","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/humrep/deaf137","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

STUDY QUESTION What is the contribution of medically assisted reproduction (MAR) to total, age-, and parity-specific fertility in Italy? SUMMARY ANSWER MAR contributed 3.7% to Italy’s total fertility rate in 2022 and 5.9% to fertility of first order; MAR’s contribution to fertility reached 16% among women aged 40 + and 31% among women aged 40 + at first birth. WHAT IS KNOWN ALREADY Demography, particularly via postponement of the age at childbearing for both women and men, plays a role in the diffusion of MAR techniques, and the diffusion of MAR techniques may contribute to postpone the age at childbearing. Recent studies found that the contribution of MAR to fertility rates is remarkable and increases over time in countries such as Czech Republic, Denmark, Australia, and the USA. Italy is a country distinguished by one of the lowest average number of children per woman globally, as well as the highest maternal age at first birth and among the highest shares of births to mothers aged 40 years and over in Europe. No prior study has focused on Italy. STUDY DESIGN, SIZE, DURATION This study relies on a unique combination of administrative data sources: the Certificate of Delivery Care Registry dataset based on the entire population of live birth deliveries in Italy in 2022 (N = 393 997), administered by the Ministry of Health; the Register of Live Births to the Resident Population in 2022 (N = 393 333), administered by the Italian National Institute of Statistics; and the resident population by age and sex to identify the female population at risk of having a(n additional) child by age (N = 17 006 665) provided by the Italian National Institute of Statistics. Comparisons are made with the year 2013. PARTICIPANTS/MATERIALS, SETTING, METHODS We calculate the age-specific fertility rates (total and by parity) for births conceived via MAR and those conceived naturally. These rates are then utilized to assess the contribution of MAR to total and parity-specific fertility, as well as to the mean maternal age at childbearing. This study is the first estimation of its kind for Italy. MAIN RESULTS AND THE ROLE OF CHANCE The contribution of MAR to the total fertility rate (for women aged 15–59 years) in Italy increased from 2.1% in 2013 to 3.7% in 2022. Among women aged 40 + , the contribution of MAR to the total fertility rate increases to 16.2% in 2022, up from 8.6% in 2013. The contribution of MAR to first-order fertility rate increases to 5.9% and it reaches 30.9% among women aged 40–59 years in 2022. The mean age at first childbirth among women who conceived via MAR equals to 37.8, up from 36.0 in 2013, compared to those who conceived naturally at a mean age at first birth of 30.4 in 2013 and of 31.3 in 2022. LIMITATIONS, REASONS FOR CAUTION Our approach may underestimate MAR’s contribution to the total fertility rate in Italy: mothers in Italy may be more likely to under-report of MAR-births than in other countries, due to social norms that are more resistant to non-conventional paths to parenthood. Our estimates use unconstrained denominators based on the entire population of women in reproductive age, irrespective of parity, to compute fertility rates because the population of women by age and parity is not available from official statistics. In addition, our estimates are somewhat affected by the possibility that couples who underwent MAR treatment would have eventually conceived spontaneously. WIDER IMPLICATIONS OF THE FINDINGS Countries characterized by low and late fertility offer a unique test ground for studying the contribution of MAR to fertility rates. In Italy, a late transition to parenthood among the general population aligns with the late transition to parenthood among mothers who conceived via MAR, mirroring that they seek infertility treatments at a relatively late age. For Italy, it will be important to monitor MAR’s contribution to fertility as a new law came into effect in January 2025, that, by recognizing infertility as a pathology, considerably reduces treatment costs hence likely increases demand for MAR. The extent to which a potentially increased demand will translate into access to treatment is uncertain if additional resources are not made available to expand the health system to meet the expected increased demand. STUDY FUNDING/COMPETING INTEREST(S) We acknowledge funding from Next Generation EU, in the context of the National Recovery and Resilience Plan, Investment PE8—Project Age-It: ‘Ageing Well in an Ageing Society’ (DM 1557 11.10.2022) and the project ‘ALFA—Aligning Law with Family Arrangements’ funded by Fondazione Cariplo 2021-1321. Open access funding provided by University of Trento within the CRUI-CARE agreement. The views and opinions expressed are only those of the authors and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. No conflict of interest exists. TRIAL REGISTRATION NUMBER N/A.
意大利医疗辅助生殖对总生育率、年龄生育率和特定胎次生育率的贡献
研究问题:医学辅助生殖(MAR)对意大利总生育率、年龄生育率和胎次生育率的贡献是什么?2022年,男性对意大利总生育率的贡献率为3.7%,对一级生育率的贡献率为5.9%;在40岁以上的女性中,MAR对生育的贡献达到16%,在40岁以上的女性中,这一比例为31%。人口,特别是通过推迟妇女和男子的生育年龄,在人口监测技术的传播中起着作用,人口监测技术的传播可能有助于推迟生育年龄。最近的研究发现,在捷克共和国、丹麦、澳大利亚和美国等国家,MAR对生育率的贡献是显著的,并且随着时间的推移而增加。意大利是全球平均每位妇女生育子女数量最少的国家之一,也是产妇首次生育年龄最高的国家之一,也是欧洲40岁及以上产妇生育比例最高的国家之一。此前还没有针对意大利的研究。研究设计、规模、持续时间本研究依赖于行政数据源的独特组合:由卫生部管理的基于2022年意大利全部活产分娩人口(N = 393 997)的分娩护理登记证书数据集;2022年常住人口活产登记(N = 393 333),由意大利国家统计局管理;以及由意大利国家统计局提供的按年龄和性别划分的常住人口,以确定按年龄划分有生育(n个额外)孩子风险的女性人口(n = 17 006 665)。与2013年进行了比较。参与者/材料,环境,方法我们计算了通过MAR和自然受孕的特定年龄生育率(总生育率和胎次生育率)。然后利用这些比率来评估人口死亡率对总生育率和特定胎次生育率以及对产妇平均生育年龄的贡献。这项研究是首次对意大利进行此类评估。男性对意大利总生育率(15-59岁女性)的贡献从2013年的2.1%上升到2022年的3.7%。在40岁以上的女性中,MAR对总生育率的贡献将从2013年的8.6%上升到2022年的16.2%。到2022年,MAR对一级生育率的贡献将增加到5.9%,在40-59岁的女性中达到30.9%。通过人工受孕受孕的女性平均初产年龄为37.8岁,高于2013年的36.0岁,而自然受孕的女性平均初产年龄为30.4岁,2022年为31.3岁。我们的方法可能低估了MAR对意大利总生育率的贡献:由于社会规范对非常规生育途径的抵制,意大利的母亲可能比其他国家的母亲更容易少报MAR出生。我们的估计使用基于整个育龄妇女人口的无约束分母来计算生育率,而不考虑胎次,因为官方统计数据中没有按年龄和胎次划分的妇女人口。此外,我们的估计在一定程度上受到接受MAR治疗的夫妇最终自然受孕的可能性的影响。研究结果的更广泛含义生育率低和生育率晚的国家为研究MAR对生育率的贡献提供了独特的试验场。在意大利,普通人群中过渡到为人父母的时间较晚,与通过MAR怀孕的母亲过渡到为人父母的时间较晚一致,反映出她们在相对较晚的年龄寻求不孕症治疗。对于意大利来说,重要的是监测MAR对生育的贡献,因为2025年1月生效的一项新法律承认不孕症是一种病理,大大降低了治疗成本,因此可能增加对MAR的需求。如果没有额外的资源来扩大卫生系统以满足预期增加的需求,那么潜在增加的需求将在多大程度上转化为治疗是不确定的。研究资金/竞争利益(S)我们感谢Next Generation EU在国家恢复和韧性计划、投资pe8项目Age-It:“老龄化社会中的老龄化”(DM 1557 11.10.2022)和由Cariplo基金会2021-1321资助的“alfa -使法律与家庭安排保持一致”项目的资助。特伦托大学根据CRUI-CARE协议提供开放获取资金。所表达的观点和意见仅为作者的观点和意见,并不一定反映欧洲联盟或欧洲委员会的观点和意见。欧盟和欧盟委员会都不能对此负责。 不存在利益冲突。试验注册号n / a。
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来源期刊
Human reproduction
Human reproduction 医学-妇产科学
CiteScore
10.90
自引率
6.60%
发文量
1369
审稿时长
1 months
期刊介绍: Human Reproduction features full-length, peer-reviewed papers reporting original research, concise clinical case reports, as well as opinions and debates on topical issues. Papers published cover the clinical science and medical aspects of reproductive physiology, pathology and endocrinology; including andrology, gonad function, gametogenesis, fertilization, embryo development, implantation, early pregnancy, genetics, genetic diagnosis, oncology, infectious disease, surgery, contraception, infertility treatment, psychology, ethics and social issues.
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