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THE COVID-19 PANDEMIC REDUCED STRESS DIFFERENTLY IN PEOPLE WITH LUPUS BY POVERTY AND SOCIAL ISOLATION

2025· article· en· W4410513069 on OpenAlexvenueno aff
S Sam Lim, Chenyang Yuan, Gaobin Bao, Charmayne Dunlop‐Thomas, Kirk A. Easley

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)MedicinePandemicSocial isolationPoverty2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Isolation (microbiology)Systemic lupus erythematosusVirologyInternal medicineDiseasePsychiatryBioinformaticsEconomic growthOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

PV177 / #114 Poster Topic: AS19 - Patient-Reported Outcome Measures Background/Purpose Many people with systemic lupus erythematosus (SLE), particularly from communities of color in the U.S., suffer from substantial psychosocial and socioeconomic stressors. The COVID-19 pandemic had a significant impact on mental health. We evaluated the effect of the pandemic in PWL on stress by social isolation (SI) and poverty. Methods Georgians Organized Against Lupus (GOAL) is a Centers for Disease Control and Prevention (CDC)-supported population-based cohort of validated SLE patients in Atlanta who completed annual surveys across multiple domains from surveys in 4 periods: pre-pandemic or baseline (8/20/2017-1/31/2020), early-pandemic (2/1/2020-9/18/2021), late-pandemic (9/19/2021-5/11/2023), and post-pandemic (5/12/2023-10/15/2024). The early and late pandemic periods coincide with the U.S. COVID-19 Public Health Emergency declaration divided in half. At baseline, we analyzed sociodemographics and validated measures of lupus characteristics and physical and psychological parameters, including poverty and PROMIS SI (see Table). A mixed model for repeated measures was used to characterize time trends for the outcome (Perceived Stress Scale, PSS). The model was expanded through stratification to examine the possible effect modification of poverty and SI at baseline on longitudinal PSS trends across the periods (see Figures). Table. Descriptive characteristics at baseline (before the pandemic) Figures. Perceived stress across pandemic periods by baseline social isolation and poverty Results At baseline, out of 953 participants, most identified as female (94%) and Black (81.3%) and had a mean age of 47.5 years. Over 62% lived at or below 200% of the Federal Poverty Level (high poverty), and 29.5% (281 out of 953) had some SI (PROMIS score > 50). High-poverty individuals were mainly Black, younger, had no or government insurance (Medicare and/or Medicaid), and had higher disease activity and damage. Socially isolated individuals were mostly younger, poorer, and had higher disease activity and damage. Baseline stress was higher in those with SI and high poverty. From the pre- to early-pandemic period in the moderate-severe SI group, the mean PSS score declined by 2.67 (95% CI: 2.81-5.55) for those in the high-poverty group compared to 2.17 (95% CI: 0.21-4.12) in the low poverty group. The PSS scores do not, over time, return to prepandemic levels. Those without SI had no significant changes in stress over time. When stratified by poverty level, there is a suggestion of different stress trajectories by the degree of SI, though again, not reaching prepandemic levels. Conclusions Though this may be unexpected, improvement in stress with the pandemic in those with SLE may have indicated how severe stress had been for these individuals before the pandemic. The impact of SI on stress may be mediated through stigmatization and poor functional status. The pandemic may have reduced these factors by bringing people with SLE closer to the general population as the public isolated themselves, wore masks, and implemented occupational and other financial support measures. Improvement in stress was seen most in those with higher levels of SI and poverty, which may be subgroups to study further and target interventions. Additional research is needed into other related causal pathways, mitigating factors, biological mechanisms, and whether these improvements are durable. Acknowledgments: This work was supported by the CDC grant U01DP006698.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.304
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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