TY - JOUR
T1 - Sex Differences in Long COVID
AU - RECOVER Consortium
AU - Shah, Dimpy P.
AU - Thaweethai, Tanayott
AU - Karlson, Elizabeth W.
AU - Bonilla, Hector
AU - Horne, Benjamin D.
AU - Mullington, Janet M.
AU - Wisnivesky, Juan P.
AU - Hornig, Mady
AU - Shinnick, Daniel J.
AU - Klein, Jonathan D.
AU - Erdmann, Nathaniel B.
AU - Brosnahan, Shari B.
AU - Lee-Iannotti, Joyce K.
AU - Metz, Torri D.
AU - Maughan, Christine
AU - Ofotokun, Ighovwerha
AU - Reeder, Harrison T.
AU - Stiles, Lauren E.
AU - Shaukat, Aasma
AU - Hess, Rachel
AU - Ashktorab, Hassan
AU - Bartram, Logan
AU - Bassett, Ingrid V.
AU - Becker, Jacqueline H.
AU - Brim, Hassan
AU - Charney, Alexander W.
AU - Chopra, Tananshi
AU - Clifton, Rebecca G.
AU - Deeks, Steven G.
AU - Erlandson, Kristine M.
AU - Fierer, Daniel S.
AU - Flaherman, Valerie J.
AU - Fonseca, Vivian
AU - Gander, Jennifer C.
AU - Hodder, Sally L.
AU - Jacoby, Vanessa L.
AU - Kotini-Shah, Pavitra
AU - Krishnan, Jerry A.
AU - Kumar, Andre
AU - Levy, Bruce D.
AU - Lieberman, David
AU - Lin, Jenny J.
AU - Martin, Jeffrey N.
AU - McComsey, Grace A.
AU - Moukabary, Talal
AU - Okumura, Megumi J.
AU - Peluso, Michael J.
AU - Rosen, Clifford J.
AU - Saade, George
AU - Shah, Pankil K.
N1 - Publisher Copyright:
© 2025 American Medical Association. All rights reserved.
PY - 2025/1/22
Y1 - 2025/1/22
N2 - Importance: A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain. Objective: To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection. Design, Setting, and Participants: This cohort study used data from the National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER)-Adult cohort, which consists of individuals enrolled in and prospectively followed up at 83 sites in 33 US states plus Washington, DC, and Puerto Rico. Data were examined from all participants enrolled between October 29, 2021, and July 5, 2024, who had a qualifying study visit 6 months or more after their initial SARS-CoV-2 infection. Exposure: Self-reported sex (male, female) assigned at birth. Main Outcomes and Measures: Development of long COVID, measured using a self-reported symptom-based questionnaire and scoring guideline at the first study visit that occurred at least 6 months after infection. Propensity score matching was used to estimate risk ratios (RRs) and risk differences (95% CIs). The full model included demographic and clinical characteristics and social determinants of health, and the reduced model included only age, race, and ethnicity. Results: Among 12276 participants who had experienced SARS-CoV-2 infection (8969 [73%] female; mean [SD] age at infection, 46 [15] years), female sex was associated with higher risk of long COVID in the primary full (RR, 1.31; 95% CI, 1.06-1.62) and reduced (RR, 1.44; 95% CI, 1.17-1.77) models. This finding was observed across all age groups except 18 to 39 years (RR, 1.04; 95% CI, 0.72-1.49). Female sex was associated with significantly higher overall long COVID risk when the analysis was restricted to nonpregnant participants (RR, 1.50; 95%: CI, 1.27-1.77). Among participants aged 40 to 54 years, the risk ratio was 1.42 (95% CI, 0.99-2.03) in menopausal female participants and 1.45 (95% CI, 1.15-1.83) in nonmenopausal female participants compared with male participants. Conclusions and Relevance: In this prospective cohort study of the NIH RECOVER-Adult cohort, female sex was associated with an increased risk of long COVID compared with male sex, and this association was age, pregnancy, and menopausal status dependent. These findings highlight the need to identify biological mechanisms contributing to sex specificity to facilitate risk stratification, targeted drug development, and improved management of long COVID..
AB - Importance: A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain. Objective: To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection. Design, Setting, and Participants: This cohort study used data from the National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER)-Adult cohort, which consists of individuals enrolled in and prospectively followed up at 83 sites in 33 US states plus Washington, DC, and Puerto Rico. Data were examined from all participants enrolled between October 29, 2021, and July 5, 2024, who had a qualifying study visit 6 months or more after their initial SARS-CoV-2 infection. Exposure: Self-reported sex (male, female) assigned at birth. Main Outcomes and Measures: Development of long COVID, measured using a self-reported symptom-based questionnaire and scoring guideline at the first study visit that occurred at least 6 months after infection. Propensity score matching was used to estimate risk ratios (RRs) and risk differences (95% CIs). The full model included demographic and clinical characteristics and social determinants of health, and the reduced model included only age, race, and ethnicity. Results: Among 12276 participants who had experienced SARS-CoV-2 infection (8969 [73%] female; mean [SD] age at infection, 46 [15] years), female sex was associated with higher risk of long COVID in the primary full (RR, 1.31; 95% CI, 1.06-1.62) and reduced (RR, 1.44; 95% CI, 1.17-1.77) models. This finding was observed across all age groups except 18 to 39 years (RR, 1.04; 95% CI, 0.72-1.49). Female sex was associated with significantly higher overall long COVID risk when the analysis was restricted to nonpregnant participants (RR, 1.50; 95%: CI, 1.27-1.77). Among participants aged 40 to 54 years, the risk ratio was 1.42 (95% CI, 0.99-2.03) in menopausal female participants and 1.45 (95% CI, 1.15-1.83) in nonmenopausal female participants compared with male participants. Conclusions and Relevance: In this prospective cohort study of the NIH RECOVER-Adult cohort, female sex was associated with an increased risk of long COVID compared with male sex, and this association was age, pregnancy, and menopausal status dependent. These findings highlight the need to identify biological mechanisms contributing to sex specificity to facilitate risk stratification, targeted drug development, and improved management of long COVID..
KW - Humans
KW - Female
KW - Male
KW - COVID-19/epidemiology
KW - Middle Aged
KW - Adult
KW - United States/epidemiology
KW - Sex Factors
KW - SARS-CoV-2
KW - Prospective Studies
KW - Risk Factors
KW - Aged
KW - Cohort Studies
KW - Puerto Rico/epidemiology
KW - Young Adult
UR - https://www.scopus.com/pages/publications/85216523312
UR - https://www.scopus.com/inward/citedby.url?scp=85216523312&partnerID=8YFLogxK
U2 - 10.1001/jamanetworkopen.2024.55430
DO - 10.1001/jamanetworkopen.2024.55430
M3 - Article
C2 - 39841477
AN - SCOPUS:85216523312
SN - 2574-3805
VL - 8
SP - e2455430-e2455430
JO - JAMA Network Open
JF - JAMA Network Open
IS - 1
M1 - e2455430
ER -