Increased risk of depression and anxiety in patients with chronic back pain following COVID-19 infection based on a nationwide population-based study

Using a nationwide database from the Korean National Health Insurance Service database, this retrospective cross-sectional study investigated how COVID-19 affects the onset of depression and anxiety in individuals with pre-existing back pain. Patients were enrolled between 2019 and 2020 using the International Classification of Diseases, Tenth Revision code. Ultimately, 28,593 and 24,777 eligible patients were classified into depression and anxiety groups, respectively. Further group subdivisions were made according to back pain and no back pain, established through a 1:3 ratio. The Cox proportional-hazards regression model was used to explore the risk of depression or anxiety developing in patients with back pain, adjusting for basic characteristics. Compared with individuals without back pain, those with back pain had higher crude hazard ratios (HRs) for depression (HR 1.877, 95% confidence interval [CI] 1.165-3.025, P = 0.01) and anxiety (HR 3.256, 95% CI 1.809-5.859, P < 0.001). Moreover, the back pain group had relatively high adjusted HRs for depression (HR 1.768, 95% CI 1.092-2.862, P = 0.02) and anxiety (HR 3.493, 95% CI 1.916-6.365, P < 0.001). COVID-19 is associated with a relatively high risk of developing depression and anxiety in patients with back pain than in those without.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-17
DOI
https://doi.org/10.1038/s41598-025-95289-z
Citations
3
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
4.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Increased risk of depression and anxiety in patients with chronic back pain following COVID-19 infection based on a nationwide population-based study

Namhoo Kim, Si-Young Park, Jaewon Shin, Kyung‐Soo Suk et al.
3 citations
Scientific Reports
Musculoskeletal pain and rehabilitation
4.18
article

Increased risk of depression and anxiety in patients with chronic back pain following COVID-19 infection based on a nationwide population-based study

Namhoo Kim, Si-Young Park, Jaewon Shin, Kyung‐Soo Suk, Yoon‐Jong Bae, Byung Ho Lee, Minae Park, Hyung Joon Ahn, Ji‐Won Kwon, Ji-Hye Seo, Hak-Sun Kim, Seoung-Hwan Moon
article en
3 citations

Abstract

Using a nationwide database from the Korean National Health Insurance Service database, this retrospective cross-sectional study investigated how COVID-19 affects the onset of depression and anxiety in individuals with pre-existing back pain. Patients were enrolled between 2019 and 2020 using the International Classification of Diseases, Tenth Revision code. Ultimately, 28,593 and 24,777 eligible patients were classified into depression and anxiety groups, respectively. Further group subdivisions were made according to back pain and no back pain, established through a 1:3 ratio. The Cox proportional-hazards regression model was used to explore the risk of depression or anxiety developing in patients with back pain, adjusting for basic characteristics. Compared with individuals without back pain, those with back pain had higher crude hazard ratios (HRs) for depression (HR 1.877, 95% confidence interval [CI] 1.165-3.025, P = 0.01) and anxiety (HR 3.256, 95% CI 1.809-5.859, P < 0.001). Moreover, the back pain group had relatively high adjusted HRs for depression (HR 1.768, 95% CI 1.092-2.862, P = 0.02) and anxiety (HR 3.493, 95% CI 1.916-6.365, P < 0.001). COVID-19 is associated with a relatively high risk of developing depression and anxiety in patients with back pain than in those without.

Scientific ReportsVol. 15(1)
Yonsei University (KR), Hanmi Pharmaceutical (South Korea) (KR)
Good health and well-being
Openalex Percentile: Top 7%
Musculoskeletal pain and rehabilitation
4.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.