Evidence map›Paper›PMID 41737305›Full record

ArticleJournal of pain research2026

Patterns of Comorbidity Between Chronic Pain and Chronic Diseases in US Adults: A Cross-Sectional Analysis of NHANES Data.

Wei Yang, Shunli Cai, Xuesong Chen, Yan Dong, Fusong Yang, Hua Yang, Rong Wang, Chao Song, Guozhong Zhou

Abstract read
In one paragraph

Article in Journal of pain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wei YangFaculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, Yunnan, 650302, People's Republic of China.
Shunli CaiFaculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, Yunnan, 650302, People's Republic of China.
Xuesong ChenDepartment of Pain Medicine, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, People's Republic of China.
Yan DongDepartment of Pain Medicine, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, People's Republic of China.
Fusong YangDepartment of Pain Medicine, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, People's Republic of China.
Hua YangDepartment of Geriatrics, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, People's Republic of China.
Rong WangDepartment of Rehabilitation Medicine, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, People's Republic of China.
Chao Song *Department of Pain Medicine, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, People's Republic of China.
Guozhong Zhou *Department of Science and Research, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650300, People's Republic of China; School of Basic Medical Sciences, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the global population ageing rapidly, the combined health burden of chronic pain and chronic diseases is increasingly evident. Despite this, significant gaps remain in understanding the interrelationship between these factors. Objective: This study aimed to examine the associations between chronic pain and a range of chronic diseases in a nationally representative sample of US adults. Study Design: A cross-sectional analysis was performed using data from the National Health and Nutrition Examination Survey (NHANES). Methods: Data from four NHANES cycles (1999-2004, 2009-2010) were analyzed, including 7,135 adults aged 20 years and older. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between chronic pain and each chronic disease, adjusting for sociodemographic, lifestyle, medication use, and anthropometric factors. Results: A significant comorbidity risk was identified between chronic pain and multiple chronic diseases, with the strongest associations observed for arthritis (OR = 3.07, 95% CI: 2.71-3.48), renal failure (OR = 1.85, 95% CI: 1.36-2.51), liver disease (OR = 1.77, 95% CI: 1.37-2.29), and congestive heart failure (OR = 1.72, 95% CI: 1.24-2.40). Additionally, smoking (OR = 1.83, 95% CI: 1.66-2.02), prescription medication use (OR = 2.33, 95% CI: 2.10-2.58), and widowhood (OR = 2.13, 95% CI: 1.72-2.65) were also significant risk factors for chronic pain. Subgroup analyses of chronic conditions comorbid with chronic pain further explored the influence of specific factors. Conclusion: Chronic pain, as a comorbid factor, should be integrated into the management of chronic diseases. Clinical practice should prioritize synergistic prevention strategies, such as smoking cessation interventions, to reduce both pain and comorbidity risks. To better understand the causal relationships between chronic pain and chronic diseases, future studies should focus on longitudinal designs and include objective pain measures, such as biomarkers.

Indexed as

chronic diseasechronic paincomorbidityepidemiologyNHANES

Identifiers

PMID41737305
PMCPMC12927725

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.