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Associations between social and economic determinants of health and receiving infertility care among female Veterans: across-sectional study
Journal article   Open access   Peer reviewed

Associations between social and economic determinants of health and receiving infertility care among female Veterans: across-sectional study

Zoe H. Pleasure, Michelle A. Mengeling, Ginny L. Ryan, A. M. Racila, Samantha K. Benson, Siobhan S. Mahorter, Anne G. Sadler, Judy E. Stern, Mark Vander Weg and Lisa S. Callegari
F&S Reports (Online), Vol.7(4), pp.280-289
08/01/2026
DOI: 10.1016/j.xfre.2026.05.003
PMCID: PMC13494616
PMID: 42630523
url
https://doi.org/10.1016/j.xfre.2026.05.003View
Published (Version of record) Open Access

Abstract

Objective: To examine the associations between social and economic determinants of health with receipt of infertility diagnoses and care among Veterans. In the non-Veteran population, socially and economically marginalized individuals are less likely to receive infertility care. Little is known about these associations in the population of United States military Veterans, who may have unique fertility care needs and healthcare access experiences. Design: We analyzed cross-sectional survey data collected from the Impact of Sexual Assault and Combat-Related Trauma on Fertility in Veterans study conducted from 2016 to 2020. Subjects: Our analytic sample includes the subset of Veterans aged 20-45 years who were assigned female sex at birth and experienced infertility, defined as a self-reported history of unprotected sex for 12 or more months without pregnancy. Exposure: Variables of interest included social and economic determinants, including income, Veterans Health Administration (VA) benefits and insurance status, marital status, race and ethnicity, and sexual orientation. Main Outcome Measures: Outcomes included self-reported receipt of an infertility diagnosis and fertility treatment. Associations between social and economic determinants and the outcomes were evaluated using multivariable logistic regression. Age and lifetime diagnoses of mental health conditions were included as potential confounders of these associations.
Reproductive Biology Life Sciences & Biomedicine Obstetrics & Gynecology Science & Technology

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