Childhood Trauma Exposure Increases Long COVID Risk

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Abstract

Background

A proportion of those who contract COVID-19 will develop long COVID (i.e., symptoms that persist for three months or more). Childhood trauma contributes to a pro-inflammatory state in adulthood evidenced by high morbidity and early mortality, but it has not yet been investigated as a risk factor for long COVID.

Methods

Participants (N=338) completed online measures of premorbid health, COVID-19 positivity, symptoms, recovery, depression, anxiety, and post-traumatic stress disorder (PTSD). Questionnaires about childhood and recent traumatic experiences were completed by half of the sample (N=162).

Results

Fifty-three percent of participants developed long COVID, of whom over 60% endorsed exercise intolerance and protracted myalgias, headaches, brain fog, and shortness of breath. Participants who experienced at least one childhood traumatic event were 3-fold more likely to develop the syndrome (OR=3.11, 95% CI, 1.49 to 6.48), while risk was nearly 6-fold increased for two or more events (OR=5.67, CI, 2.44 to 13.13). Regression models showed childhood trauma (OR=5.32, CI, 1.44 to 19.68), older age (OR=1.11, CI, 1.06 to 1.16), female sex (OR=4.02, CI, 1.34 to 12.12), along with chest pain (OR=8.77, CI, 2.80 to 27.43), brain fog (OR=3.33, CI, 1.16 to 9.57) and phantosmia (OR=5.90, CI, 1.40 to 24.86) during acute illness accurately classified long COVID status in 87% of participants.

Interpretations

Early adversity is a risk-factor for long COVID, likely due to altered immune response, central sensitization, and peripheral dysfunction. Childhood trauma, a crucial social determinant of health, should be routinely assessed in COVID-19 survivors and may aid in determining prognosis.

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  1. SciScore for 10.1101/2022.02.18.22271191: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsIRB: All studies were approved by the University of Dayton Institutional Review Board (IRB), and participants provided voluntary informed consent obtained in accordance with the Declaration of Helsinki.
    Consent: All studies were approved by the University of Dayton Institutional Review Board (IRB), and participants provided voluntary informed consent obtained in accordance with the Declaration of Helsinki.
    Sex as a biological variableTwo (recovered, long COVID) x two (male, female) ANCOVAs were used to examine group differences in PTSD, depression, and generalized anxiety severity, and childhood and recent trauma burden when controlling for age.
    Randomizationnot detected.
    Blindingnot detected.
    Power AnalysisSample Size Estimation: We estimated the minimum sample size using G-Power version 3.1.9.7 and determined that samples of N=128 and N=351 and would provide 80% power to detect moderate and small effects, respectively.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data Analysis: Data analysis was performed with SPSS (version 27.0).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    Sample Size Estimation: We estimated the minimum sample size using G-Power version 3.1.9.7 and determined that samples of N=128 and N=351 and would provide 80% power to detect moderate and small effects, respectively.
    G-Power
    suggested: (G*Power, RRID:SCR_013726)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Limitations: Our finding that childhood trauma exposure increases long COVID risk is novel, but there are several limitations of this study that must be considered. Participants were recruited online, and it is possible that those who developed long COVID are more invested in participating, potentially inflating the number of individuals with the syndrome, although our rates of long COVID are notably consistent with other reports.6-10 We also did not have COVID-19 positivity confirmed for all participants; however, we excluded participants who did not report a positive PCR-test, a clinician diagnosis, or smell/taste loss (which is the strongest indicator of COVID-19 positivity),21 minimizing the likelihood of including participants with no SARS-CoV-2 exposure. The cross-sectional design also limits our ability to determine causality, as is the case in any research examining the impact of childhood trauma in adults. Conclusion: In sum, our findings provide further evidence that long COVID is not infrequent and that it disproportionately affects females. Childhood trauma exposure may increase long COVID risk via altered immune responses, central sensitization, and disrupted peripheral nervous system function. The widespread prevalence of long COVID may shed light on the shared pathophysiology with other phenotypically similar syndromes that are more rarely diagnosed. Childhood trauma, a crucial social determinant of health, should be routinely assessed in COVID-19 survivors and...

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.