Suzanne O Bell, Alexander M Franks, David Arbour, Selena Anjur-Dietrich, Elizabeth A Stuart, Eli Ben-Michael, Avi Feller, Alison Gemmill
{"title":"US Abortion Bans and Fertility.","authors":"Suzanne O Bell, Alexander M Franks, David Arbour, Selena Anjur-Dietrich, Elizabeth A Stuart, Eli Ben-Michael, Avi Feller, Alison Gemmill","doi":"10.1001/jama.2024.28527","DOIUrl":null,"url":null,"abstract":"<p><strong>Importance: </strong>Abortion bans may lead to births among those who are unable to overcome barriers to abortion. The population-level effects of these policies, particularly their unequal impacts across subpopulations in the US, remain unclear.</p><p><strong>Objective: </strong>To assess heterogeneity in the association of abortion bans with changes in fertility in the US, within and across states.</p><p><strong>Design, setting, and participants: </strong>Drawing from birth certificate and US Census Bureau data from 2012 through 2023 for all 50 states and the District of Columbia, this study used a bayesian panel data model to evaluate state-by-subgroup-specific changes in fertility associated with complete or 6-week abortion bans in 14 US states. The average percent and absolute change in the fertility rate among females aged 15 through 44 years was estimated overall and by state, and within and across states by age, race and ethnicity, marital status, education, and insurance payer.</p><p><strong>Exposure: </strong>Complete or 6-week abortion ban.</p><p><strong>Main outcome and measures: </strong>Fertility rate (births per 1000 reproductive-aged females) overall and by subgroups.</p><p><strong>Results: </strong>There were an estimated 1.01 (95% credible interval [CrI], 0.45-1.64) additional births above expectation per 1000 females aged 15 through 44 years (reproductive age) in states following adoption of abortion bans (60.55 observed vs 59.54 expected; 1.70% increase; 95% CrI, 0.75%-2.78%), equivalent to 22 180 excess births, with evidence of variation by state and subgroup. Estimated differences above expectation were largest for racially minoritized individuals (≈2.0%), unmarried individuals (1.79%), individuals younger than 35 years (≈2.0%), Medicaid beneficiaries (2.41%), and those without college degrees (high school diploma, 2.36%; some college, 1.58%), particularly in southern states. Differences in race and ethnicity and education across states explain most of the variability in the state-level association between abortion bans and fertility rates.</p><p><strong>Conclusion and relevance: </strong>These findings provide evidence that fertility rates in states with abortion bans were higher than would have been expected in the absence of these policies, with the largest estimated differences among subpopulations experiencing the greatest structural disadvantages and in states with among the worst maternal and child health and well-being outcomes.</p>","PeriodicalId":17196,"journal":{"name":"Journal of the American Medical Association","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11826436/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Medical Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1001/jama.2024.28527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Importance: Abortion bans may lead to births among those who are unable to overcome barriers to abortion. The population-level effects of these policies, particularly their unequal impacts across subpopulations in the US, remain unclear.
Objective: To assess heterogeneity in the association of abortion bans with changes in fertility in the US, within and across states.
Design, setting, and participants: Drawing from birth certificate and US Census Bureau data from 2012 through 2023 for all 50 states and the District of Columbia, this study used a bayesian panel data model to evaluate state-by-subgroup-specific changes in fertility associated with complete or 6-week abortion bans in 14 US states. The average percent and absolute change in the fertility rate among females aged 15 through 44 years was estimated overall and by state, and within and across states by age, race and ethnicity, marital status, education, and insurance payer.
Exposure: Complete or 6-week abortion ban.
Main outcome and measures: Fertility rate (births per 1000 reproductive-aged females) overall and by subgroups.
Results: There were an estimated 1.01 (95% credible interval [CrI], 0.45-1.64) additional births above expectation per 1000 females aged 15 through 44 years (reproductive age) in states following adoption of abortion bans (60.55 observed vs 59.54 expected; 1.70% increase; 95% CrI, 0.75%-2.78%), equivalent to 22 180 excess births, with evidence of variation by state and subgroup. Estimated differences above expectation were largest for racially minoritized individuals (≈2.0%), unmarried individuals (1.79%), individuals younger than 35 years (≈2.0%), Medicaid beneficiaries (2.41%), and those without college degrees (high school diploma, 2.36%; some college, 1.58%), particularly in southern states. Differences in race and ethnicity and education across states explain most of the variability in the state-level association between abortion bans and fertility rates.
Conclusion and relevance: These findings provide evidence that fertility rates in states with abortion bans were higher than would have been expected in the absence of these policies, with the largest estimated differences among subpopulations experiencing the greatest structural disadvantages and in states with among the worst maternal and child health and well-being outcomes.
期刊介绍:
JAMA, published continuously since 1883, is an international peer-reviewed general medical journal. JAMA is a member of the JAMA Network, a consortium of peer-reviewed, general medical and specialty publications.