01 · ABSTRACT
Abstract
Long COVID (LC) is a complex illness affecting millions globally. However, the integrated role of socioeconomic, psychosocial, and functional factors associated with LC suffering and recovery have not been adequately studied. To help address this gap, we conducted a population-based analysis of the US Census Household Pulse Survey data. Descriptive analyses examined the prevalence of functional limitations (seeing, hearing, remembering, mobility, self-care, understanding), emotional health and social connectedness across four COVID-19 status groups: those who did not contract COVID (No COVID, or NC), those who contracted COVID but quickly recovered (Short COVID, or SC), Long COVID-Resolved (LC-R), and Long COVID-Unresolved (LC-U).
Crosstabulations revealed a stark gradient of impairment: the LC-U group reported the highest prevalence of functional difficulties, emotional distress, and social isolation, followed by LC-R, NC, and finally SC, who often reported the least impairment. A multinomial logistic regression model was then used to examine multivariate predictors of these outcome categories. The multinomial model generally confirmed the relationships uncovered in the crosstabulations, while correcting for demographic differences between groups. The findings suggest LC "recovery" as a categorical distinction may be somewhat misleading: LC-R groups reported intermediate levels of impairment, suggesting LC recovery may be incomplete for many. These findings underscore the condition's heterogeneity and highlight the critical need for integrated biopsychosocial approaches to healthcare delivery, policy, and research.
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Keywords
Long COVIDCOVID-19Public HealthInfectious DiseaseHealth DisparitiesFunctional LimitationsEmotional EffectsSocial Integration
03 · PUBLICATION RECORD
Article details
JournalMedical Research Archives
IssueVol 14 No 8 (2026): Vol 14 Issue 8 August 2026
SectionResearch Articles
Published01 September 2026
DOI10.18103/mra.2026.0491
ISSN2375-1924
04 · RIGHTS & REUSE
Rights & reuse
This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.