Association of Comorbid and Incident Depression and Other Mental Health Conditions With Long-COVID: Results From the Johns Hopkins COVID Long Study.

Publication date: May 01, 2026

Long-term complications following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, known as long-COVID, present significant global health challenges. The factors associated with developing long-COVID remain poorly understood, especially in individuals with pre-existing comorbidities, including mental health conditions. Additionally, the relationship between persistent symptoms and incident depression and anxiety symptoms remains unclear. We analysed baseline data from 9637 participants in the Johns Hopkins COVID Long Study. Logistic regression was utilised to estimate the odds of developing long-COVID in participants with/without pre-existing mental health comorbidities (n = 3351) and incident depression and/or anxiety in participants with persistent symptoms who had only pre-existing non-mental health comorbidities (n = 3036) and those without comorbidities (n = 1781). Participants with pre-existing non-mental health comorbidities had higher odds of developing long-COVID (adjusted odds ratio (aOR) 1. 47, 95% confidence interval (CI) 1. 20, 1. 80) compared to those without comorbidities. Participants with only mental health comorbidities showed similar elevated odds (aOR 1. 49, 95% CI 1. 14, 1. 95). An increasing number of persistent symptoms demonstrated a strong dose-response relationship with developing incident depression and/or anxiety symptoms in both participants with only non-mental health comorbidities and those without comorbidities. Long-COVID affects individuals with and without pre-existing comorbidities; those with pre-existing comorbidities demonstrated increased odds of developing long-COVID. However, the odds among those with mental health comorbidities were not elevated beyond other comorbidities. Monitoring both physical and mental health outcomes is crucial for post-acute COVID-19 patients. Enhanced understanding of the factors associated with long-COVID is essential for improving patient care and developing effective interventions.

Concepts Keywords
Coronavirus Adult
Covid Aged
Patients Anxiety
Severe Baltimore
Comorbidity
COVID-19
COVID‐19
Depression
depression
Female
Humans
Incidence
long‐COVID
Male
Mental Disorders
Mental Health
mental health
mental health conditions
Middle Aged
Post-Acute COVID-19 Syndrome
SARS-CoV-2

Semantics

Type Source Name
disease MESH severe acute respiratory syndrome
disease MESH infection
disease MESH anxiety
disease MESH COVID-19
disease MESH Long Covid
disease MESH Mental Disorders
disease MESH syndrome

Original Article

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