Pain among US adults before, during, and after the COVID-19 pandemic.
Zajacova, A.; Grol-Prokopczyk, H.
Show abstract
ImportanceChronic pain (CP) is a major public health problem in the US. The COVID-19 pandemic led to widespread disruptions in the US and it is important to monitor changes in pain during and after the pandemic. ObjectiveTo determine prevalence of chronic pain (CP) and high-impact chronic pain (HICP) before, during, and after the COVID-19 pandemic and identify potential contributing factors. MethodsWe analyze a nationally representative sample of 88,469 community-dwelling Americans aged 18 and older from three cross-sectional waves of the National Health Interview Survey before (2019), during (2021), and after (2023) the COVID-19 pandemic. Year of interview is the exposure. All regression models control for age and sex; fully controlled models include 19 additional covariates (demographics, socioeconomic status, health behaviors, health conditions, mental health, and health insurance type); analyses also explore the role of long COVID. Outcomes are CP and HICP using measures proposed by the US National Pain Strategy; we also present findings for six site-specific pain measures. ResultsBetween 2019 and 2023, CP and HICP prevalence increased by 18% and 13%, respectively. Specifically, CP prevalence was 20.6% (95%CI: 19.9-21.2%) in 2019, 20.9%(20.3-21.6%) in 2021, and 24.3% (23.7-25.0%) in 2023. HICP prevalence declined from 7.5% (7.1-7.8%) in 2019 to 6.9% (6.6-7.3%) in 2021, before rising sharply to 8.5% (8.1-8.9%) in 2023. The increases occurred in all examined body sites except for tooth/jaw pain, and in all major population groups. Approximately 13% of the increase in CP and HICP was attributable to long COVID. Conclusions and RelevancePain among US adults was high before and during the pandemic but has surged substantially since. In 2023, an unprecedented 60 million Americans had chronic pain and 21 million had high-impact chronic pain.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- A shared genetic signature for common chronic pain conditions and its impact on biopsychosocial traits 95%
- Welfare Policies, Arthritis-related Joint Pain Prevalence and Educational Gaps in 50 U.S. States from 2011 to 2021: A Fixed Effects Analysis 94%
- Improving Power and Accuracy in Randomized Controlled Trials of Pain Treatments by Accounting for Concurrent Analgesic Use 92%
Similar papers in this journal
- Gender differences in PTSD severity and pain outcomes: baseline results from the LAMP trial 92%
- Scoping Review and Interpretation of Myofascial Pain/Fibromyalgia Syndrome: An Attempt to Assemble a Medical Puzzle 91%
- The prevalence and risk factors for phantom limb pain in people with amputations: a systematic review and meta-analysis. 91%
Similar papers in this journal
Similar papers in this journal
- Advancing the prediction and understanding of placebo responses in chronic back pain using large language models 91%
- Spared nerve injury induces long-term and brain region-specific changes in oligodendrocyte density in mice 91%
- Study Protocol: Prognostic Factors of High Healthcare Utilization Costs Among People with Spinal Disorders Using a Spine Registry Linked to Public Healthcare Data 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.