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Abstract
Objective: To study how men’s and couples’ sociodemographic characteristics predict the probability of having a birth conceived using
medically assisted reproduction (MAR) in the United States.
Design: Population-based study.
Setting: Not applicable.
Patient(s): Men and women in the National Vital Statistics Birth certificate data from 2009 to 2019.
Intervention: None.
Main Outcome Measure(s): Proportion of MAR births out of total births by parental sociodemographic categories and probability of
having a MAR birth.
Result(s): Between 2009 and 2019, the overall prevalence of MAR births among men was 1.81%. Fathers of children conceived using
MAR tended to be older, higher educated, and white compared with fathers of naturally conceived children. During the period of 2009–
2019, these sociodemographic profiles remained largely unchanged. Controlling for maternal age and birth order only partially reduced
disparities by education and race. In 2019, highly educated fathers were 2.04 percentage points (95% confidence interval, 1.97–2.12)
more likely to have a MAR-conceived birth than fathers with a low educational level, and black fathers were associated with a reduction
in the probability of having an MAR-conceived child by 1.07 percentage points (95% confidence interval, 1.11 to 1.04) compared
with white fathers. The dyadic analysis using parents’ education and race interactions revealed that partnering with someone of a higher
educational level increases the likelihood of having a MAR birth, beyond what would be observed by considering only individual-level
characteristics.
Conclusion(s): To comprehend the environment in which MAR–conceived children are born and raised, performing dyadic analyses
that examine the characteristics of both partners is essential. The findings underscore the enduring presence of substantial social
disparities in MAR use in the United States, with MAR-conceived children raised in environments of relative advantage, which may
impact their future health and development.
medically assisted reproduction (MAR) in the United States.
Design: Population-based study.
Setting: Not applicable.
Patient(s): Men and women in the National Vital Statistics Birth certificate data from 2009 to 2019.
Intervention: None.
Main Outcome Measure(s): Proportion of MAR births out of total births by parental sociodemographic categories and probability of
having a MAR birth.
Result(s): Between 2009 and 2019, the overall prevalence of MAR births among men was 1.81%. Fathers of children conceived using
MAR tended to be older, higher educated, and white compared with fathers of naturally conceived children. During the period of 2009–
2019, these sociodemographic profiles remained largely unchanged. Controlling for maternal age and birth order only partially reduced
disparities by education and race. In 2019, highly educated fathers were 2.04 percentage points (95% confidence interval, 1.97–2.12)
more likely to have a MAR-conceived birth than fathers with a low educational level, and black fathers were associated with a reduction
in the probability of having an MAR-conceived child by 1.07 percentage points (95% confidence interval, 1.11 to 1.04) compared
with white fathers. The dyadic analysis using parents’ education and race interactions revealed that partnering with someone of a higher
educational level increases the likelihood of having a MAR birth, beyond what would be observed by considering only individual-level
characteristics.
Conclusion(s): To comprehend the environment in which MAR–conceived children are born and raised, performing dyadic analyses
that examine the characteristics of both partners is essential. The findings underscore the enduring presence of substantial social
disparities in MAR use in the United States, with MAR-conceived children raised in environments of relative advantage, which may
impact their future health and development.
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 292-299 |
Seitenumfang | 8 |
Fachzeitschrift | F&S Reports |
Jahrgang | 4 |
Ausgabenummer | 3 |
Frühes Online-Datum | 31 Mai 2023 |
DOIs | |
Publikationsstatus | Veröffentlicht - Sept. 2023 |
ÖFOS 2012
- 504006 Demographie
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