Chandelier
Senior Member (Voting Rights)
Long COVID Disproportionately Reported by Disadvantaged Individuals: A National Survey of U.S. Working-Age Adults
Little is known about those who live with post-acute sequelae of SARS-CoV-2 infection (PASC), including long COVID, especially those without a formal diagnosis.
Long COVID was defined as having “symptoms lasting 3 months or longer that you did not have prior to having coronavirus” (e.g., fatigue, difficulty thinking, shortness of breath) or not. Logistic regression models adjusted for survey week, respondent characteristics (e.g., demographics, acute COVID-19 severity), and state characteristics (e.g., rurality, Health Professional Shortage Areas).
We additionally examined concurrent depression and anxiety symptoms.
Among those with long COVID symptoms, 22.6% reported having severe activity limitations. In fully adjusted models, long COVID symptoms were most commonly reported by Hispanic respondents (ΔPH = 2.3, SE = 0.7), among all racial-ethnic groups. Low socioeconomic status was consistently associated with long COVID symptoms: Income (ΔP<25k vs >=200k+ = 11.9, SE = 0.9); Medicaid-insurance (ΔPMedicaid v Employer-sponsored = 02.9, SE = 0.5); Uninsurance (ΔPUninsured v Employer-sponsored = 1.8, SE = 0.4).
Long COVID symptoms were associated with living in more rural states (ΔP = 0.08, SE = 0.02).
Long COVID symptoms were additionally associated with concurrent anxiety (ΔPAnx v Not = 8.0, SE = 0.4) and depressive symptoms (ΔPDep v Not = 6.7, SE = 0.6).
Web | DOI | PDF | Journal of General Internal Medicine
Villasis, Nicolo A.; Santos, Jasmeen J.; Ettner, Susan L.; Xu, Haiyong; Escarce, José J.; Leung, Lucinda B.
Abstract
Background
COVID-19 disproportionately affects racial/ethnic minorities and economically disadvantaged persons, which may also apply to sequelae from acute infection.Little is known about those who live with post-acute sequelae of SARS-CoV-2 infection (PASC), including long COVID, especially those without a formal diagnosis.
Objective
To examine self-reported long COVID symptoms and its associations with individual and state characteristics from a national survey sample of working-age adults.Design
Repeated cross-sectional survey analysis.Participants
Eighteen- to 64-year-old adults who reported ever having had COVID-19 (n = 409,087).Main Measures
We examined long COVID responses from the online Household Pulse Survey (9/22/2022–10/30/2023), administered by the Census Bureau and the National Center for Health Statistics.Long COVID was defined as having “symptoms lasting 3 months or longer that you did not have prior to having coronavirus” (e.g., fatigue, difficulty thinking, shortness of breath) or not. Logistic regression models adjusted for survey week, respondent characteristics (e.g., demographics, acute COVID-19 severity), and state characteristics (e.g., rurality, Health Professional Shortage Areas).
We additionally examined concurrent depression and anxiety symptoms.
Key Results
The HPS response rate was 6.10% during the study timeframe.14 Among those who ever had COVID-19, 27.5% reported long COVID symptoms.Among those with long COVID symptoms, 22.6% reported having severe activity limitations. In fully adjusted models, long COVID symptoms were most commonly reported by Hispanic respondents (ΔPH = 2.3, SE = 0.7), among all racial-ethnic groups. Low socioeconomic status was consistently associated with long COVID symptoms: Income (ΔP<25k vs >=200k+ = 11.9, SE = 0.9); Medicaid-insurance (ΔPMedicaid v Employer-sponsored = 02.9, SE = 0.5); Uninsurance (ΔPUninsured v Employer-sponsored = 1.8, SE = 0.4).
Long COVID symptoms were associated with living in more rural states (ΔP = 0.08, SE = 0.02).
Long COVID symptoms were additionally associated with concurrent anxiety (ΔPAnx v Not = 8.0, SE = 0.4) and depressive symptoms (ΔPDep v Not = 6.7, SE = 0.6).
Conclusions
Long COVID symptoms and disability were disproportionately reported among survey respondents who were Hispanic and who were economically-disadvantaged. Rural communities were more so impacted.Web | DOI | PDF | Journal of General Internal Medicine